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Description The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder experience analytics, and tooling decisions across Amazon's security ecosystem. Every insight surfaced to security leadership, from builder productivity trends to security issue quality metrics, flows through systems our team designs, builds, and maintains. We operate at scale, processing large volumes of security and operational data daily through hundreds of pipelines consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. Our engineers work directly with source systems across AWS and SDO (Security, Developer, and Operations) data domains to procure data, convert it into structured formats, build large-scale processing pipelines, design analytical data models, and maintain infrastructure with the highest security and compliance standards. We are seeking a Data Engineer I to join our Security Data Intelligence (SDI) team. In this role, you will build and maintain data pipelines that power security analytics across Amazon. Working with well-defined requirements and guidance from senior engineers, you will create physical data models, optimize data pipelines for defined datasets, and deliver reliable, well-documented solutions on schedule. You will partner with teams across ASE, BizOps, MapSec, and other security organizations to implement data ingestion flows and support analytical models that serve the broader Amazon Security organization. Key job responsibilities Learn and apply team-established data processing guidelines and best practices when building and testing pipelines. Measure and improve dataset quality across owned pipelines, identifying issues and proposing solutions to the team. Flag limitations or opportunities in data processing tools to senior engineers for evaluation. Learn and understand the team's existing data architecture, including how security data flows through ingestion, transformation, and serving layers. Build data solutions at the component level within the established team data architecture, following defined logical data models. Create physical data models for assigned datasets, applying appropriate persistence and integration techniques. Understand the implications of implementation decisions (e.g., normalization, distribution) and seek guidance from senior engineers on trade-offs. Write secure, stable, testable, and maintainable code with minimal defects, following team coding standards. Clearly document solutions for ease of use and maintainability by teammates and data consumers. Get all data models, pipeline designs, and code reviewed by senior engineers before deployment. Test code thoroughly and understand the maintenance characteristics, runtime properties, and dependencies of delivered solutions. Build and maintain data pipeline infrastructure for assigned datasets using team-established patterns and tools. Apply basic database optimization techniques such as partitioning, distribution, and indexing as directed. Understand the underlying system infrastructure that data solutions depend on, including differences between data persistence solutions. Follow team guidelines for infrastructure management, security compliance, and automation practices. Solve straightforward, well-defined problems with guidance from senior engineers, for example, building ingestion pipelines for a new security data source where the schema and requirements are defined, or troubleshooting data quality issues in existing datasets by researching root causes and thoroughly resolving defects. Handle problems even outside your own domain by either resolving them or ensuring a clear hand-off to the right owner. Take well-defined requirements and deliver solutions on schedule within assigned scope. Participate in team design, scoping, and prioritization discussions to understand project context. Manage your own task execution effectively, seeking guidance when blocked or uncertain. Communicate progress and dependencies clearly to your team lead and senior engineers. Build good working relationships with teammates, peer engineers, and data consumers across ASE and SDO. Partner effectively with Business Analysts, Data Scientists, and peer SDEs to understand data requirements. Help train and mentor DE interns when applicable. Participate in the interview process. Recognize discordant views and participate in constructive dialogue with peers. Follow team-established best practices for data discovery, naming conventions, and data security. Classify, store, and handle data per Amazon security and compliance policies. Ensure proper access control, data integrity, and auditability for all produced datasets. Track security risks in data handling, mitigate issues, and escalate in a timely manner. Identify data quality issues and pipeline deficiencies in owned components and propose solutions to the team. Participate in code reviews, design discussions, and team planning sessions. Make small improvements to team development processes when directed. Actively seek knowledge of team data architecture and apply learnings to improve your data solutions. Participate in on-call rotation and respond to pipeline incidents following established runbooks and escalation procedures. Understand the maintenance characteristics, runtime properties, and dependencies of team data systems. Contribute to monitoring and alarming setup for owned pipelines with guidance from senior engineers. Document incident resolutions and contribute to runbook updates for owned components. Basic Qualifications 2+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually Company Amazon.com Services LLC Job ID: A10582746

Costco Travel IT is responsible for the technical future of Costco Wholesale , the third largest retailer in the world with wholesale operations in fourteen countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed. This is an environment unlike anything in the high-tech world and the secret of Costco's success is its culture. The value Costco puts on its employees is well documented in articles from a variety of publishers including Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its generosity and community service and has won many awards for its philanthropy. The company joins with its employees to take an active role in volunteering by sponsoring many opportunities to help others. Come join the Costco Travel IT family . Costco IT is a dynamic, fast-paced environment, working through exciting transformation efforts. We are building the next generation retail environment where you will be surrounded by dedicated and highly professional employees. As a Build Engineer you work with Software Developers and DevOps Teams to ensure our products seamlessly move from development through rollout and into production. This requires scripting and coding with an eye toward scalability as we are pushing updates and iterating on all of our products. The Build Engineer will be responsible for designing, implementing, and maintaining our build and release infrastructure. This role is critical to ensuring efficient, reliable, and automated software builds across multiple platforms and environments. Our vision is to continuously improve build and configuration management tools as well as best practices to meet needs of scaling applications as well as growing engineering teams. If you want to be a part of one of the worldwide BEST companies "to work for" , simply apply and let your career be reimagined. ROLE Designing and developing solutions to improve developer experience and code velocity to production. Design, develop, and maintain automated build systems and continuous integration/continuous deployment (CI/CD) pipelines. Optimize build processes to reduce build times and improve efficiency. Monitor build systems and proactively resolve issues to minimize downtime. Implement and maintain build configurations across multiple platforms (Windows, Linux). Create and maintain build scripts, tools, and automation frameworks. Automate repetitive tasks to improve team productivity. Integrate third-party tools and services into the build pipeline. Maintain version control strategies and branching models. Provide technical support and troubleshooting for build-related issues. Document build processes, procedures, and best practices. Monitor and optimize build performance metrics Implement security best practices in build and deployment processes Manage build artifacts, dependencies, and package repositories Required 3+ years of experience in build engineering, DevOps, or related role. Strong experience with CI/CD platforms (Jenkins, Git, GitHub, Azure DevOps, or similar). Proven track record of implementing and maintaining automated build systems. Experience with version control systems, particularly Git. Proficiency in scripting languages (Python, Bash, PowerShell, Groovy). Strong understanding of build tools (Gradle, Maven, etc.). Experience with containerization technologies (Docker, Kubernetes) Recommended Strong problem-solving and analytical skills. Attention to detail and commitment to quality. Ability to debug complex build and deployment issues. Understanding of networking, security, and system administration concepts. Excellent communication skills, both written and verbal. Ability to work collaboratively in a team environment. Self-motivated with ability to work independently. Strong organizational and time management skills. Adaptability and willingness to learn new technologies. Proficient in Microsoft Workspace applications, including Outlook, Word, Excel, PowerPoint, and Teams. Successful internal candidates will have spent one year or more on their current team. Required Documents Cover Letter Resume California applicants, please click to review the Costco Applicant Privacy Notice. Pay Ranges Level 3 - $130,000 - $160,000 We offer a comprehensive package of benefits including paid time off, health benefits - medical/dental/vision/hearing aid/pharmacy/behavioral health/employee assistance, health care reimbursement account, dependent care assistance plan, short-term disability and long-term disability insurance, AD&D insurance, life insurance, 401(k), stock purchase plan to eligible employees. Costco is committed to a diverse and inclusive workplace. Costco is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to IT-Recruiting@costco.com If hired, you will be required to provide proof of authorization to work in the United States.

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are seeking an experienced Senior Staff DevOps Engineer to lead the design, build, and operation of the infrastructure that underpins the build pipelines that allow our companies to produce and deliver vehicle firmware and embedded software. You will play a key role in setting the direction of our technical foundation and our approach to DevOps as a culture. You will partner with our architect and team members to turn architectural vision into reality, including maturing our Infrastructure as Code practices and modernizing legacy systems and processes. This position demands a deep understanding of cloud-native ecosystems, critical thinking, a strong point of view on managing infrastructure as code, and a practical, collaborative, customer-service mindset to help enable our large developer organization. Responsibilities Lead the design and implementation of infrastructure components from a developer platform mindset, including centralized developer portals and tooling to reduce developer cognitive overhead. Architect our build and release infrastructure for redundancy and scale, including software artifact storage, source control, parallel build execution, and maintenance with vendors. Drive our migration to Bazel, including remote execution, to improve build speed and reliability. Own our AWS footprint, driving improvements in multi-region availability, disaster recovery, and cost efficiency. Define and enforce Infrastructure as Code (IaC) patterns and standards using Terraform and Atlantis, with code as the source of truth for cloud configuration. Maintain the library of modules used across the engineering organization. Identify and remediate legacy infrastructure and process gaps, bringing existing resources under consistent IaC management. Build and support mobile CI infrastructure for iOS and Android apps, including environments that start clean and quickly on fresh machines (e.g., Veertu Anka). Support and improve GitLab and CI pipelines through automation, monitoring, controls, and version standards. Develop and optimize custom Kubernetes operators and controllers to automate stateful services, ensuring high availability and performance. Design and build robust, automated security controls and policy-as-code to ensure platform compliance. Identify friction points across the organizations that operate on top of our infrastructure and collaboratively build intuitive tools that improve the developer experience. Mentor senior, mid-level, and junior engineers through code reviews, design reviews, pair programming, and technical leadership. Work closely with engineering teams in an agile (Scrum) environment to gather requirements, identify dependencies, and provide technical input on risk mitigation. Qualifications Minimum Qualifications: 10+ years of relevant experience in Platform Engineering, DevOps, or SRE roles. Expert proficiency with Infrastructure as Code, preferably Terraform, including designing reusable modules and managing state at scale. Deep understanding of Kubernetes internals, networking, storage, and service mesh architectures. Proven track record implementing GitOps workflows using ArgoCD or Flux in production environments. Strong understanding of automation and scripting (e.g., Python, Bash, GoLang). Strong experience with one of the major Cloud Service Providers (AWS, Azure, or GCP), including IAM, compute, networking, and storage layers. Experience designing, maintaining, and optimizing CI/CD pipelines and build systems at scale. Experience with GitLab, Bazel, or mobile (iOS/Android) builds is a plus. Proven ability to establish and enforce engineering standards across an organization. Ability to clearly communicate technical concepts to peers, leadership, and stakeholders. Experience leading architectural discussions and decisions in a collaborative environment. Track record of mentoring engineers and sharing technical knowledge. Total Rewards We build the exceptional — and we believe the people doing that work should be rewarded accordingly. In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program. Payments are discretionary and not guaranteed; actual amounts depend on company results and the terms of the plan in effect, and require active employment at the time of payout. This role is also eligible for equity in the form of Restricted Stock Units (RSUs), subject to board approval and the terms of our equity incentive plans, including applicable vesting requirements. In addition to our compensation programs, we invest in our people with a comprehensive benefits package designed to support the health, wellbeing, and financial future for full-time employees — including health coverage, retirement savings, time off, and family planning programs. Offerings vary by country. Learn more about our global benefit programs . External candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site ( https://rivianvw.tech/#careers ). If you are a current employee, please apply through our internal job board . Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and Volkswagen Group Technologies" may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. If you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. -- Please note this job posting represents an open, active vacancy. Additionally, we are not currently accepting applications from third party application services. Compensation Range: $186,000 - $255,750

Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success – it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option. We're hiring for a hybrid role. You'll work on-site with your team several days each week (typically 2–3), with the specific days set by your manager. Because regular in-person collaboration is central to this job, we look for candidates who live within about 50 miles of the office. Everfox will consider reasonable accommodation as required by law. About The Role We're looking for a full-time Kubernetes and Linux Container Platform Engineer to join our team developing and maintaining the container infrastructure that supports EverShieldour Insider Risk platform. In this role, you will contribute to the accelerated development of our Evershield Platform while supporting the ongoing maintenance of our container platform, helping the team meet current and future product delivery commitments. The ideal candidate will have strong experience with Kubernetes, container technologies, and Red Hat Enterprise Linux, along with expertise in building, deploying, and maintaining scalable, reliable platform solutions. Working in an Agile environment, you will collaborate with team members to design, develop, test, troubleshoot, and maintain container infrastructure to support EverShield's evolving needs. Location: Hybrid – Salt Lake City, Utah Key Responsibilities Working collaboratively with team members to design, develop, test, troubleshoot, and deliver a scalable Linux-based container platform Remaining up to date on current best practices, trends, and industry developments and actively sharing that knowledge with other team members Verifying product features are thoroughly implemented, ensuring all requirements are met, using robust technical solutions and high-quality coding standards Key Experience And Education Qualifications BS Computer Science, Computer Engineering, Information Security or equivalent work experience Strong problem solving, troubleshooting, communication and customer service skills Strong time management skills and able to take initiative and work independently on concurrent projects 4+ years of professional experience using container technologies to build, deploy, maintain, or administer containers in a production environment 3+ years of professional experience building, maintain, or administering Kubernetes clusters in a production environment 5+ years of professional experience administering and/or developing applications on Red Hat Enterprise Linux. This includes; Demonstrable coding/scripting experience in Bash. A solid understanding and experience using the Linux command line and its associated tools and utilities. A solid understanding of fundamental networking concepts. Experience with server virtualization systems such as VMware ESXi/vSphere. Experience with Ansible and familiarity with YAML and JSON. Experience deploying applications to AWS and/or Azure in a production environment (compute, storage, networking, image creation, etc.) If needed, ability to pass a government background check Nice to Have Experience with installation, administration, and configuration of Prometheus and Grafana. Knowledgeable in Linux and application security best practices, SELinux, DISA STIG, etc. Experience with UI frameworks and technologies (HTML, JavaScript, REST APIs, React) Experience with CI/CD and configuration management tools (Jenkins, Ansible, Artifactory) Experience writing automated tests Experience using Git for version control Experience working in an Agile/Scrum environment Experience with Python and Golang A reasonable estimate of the base salary range for this role is: $125,100.00-164,000.00 USD The actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to a base salary and bonus plans, Everfox offers a generous benefits package including flexible PTO, a 401k match, and contribution to healthcare coverages. Our Talent Acquisition team will provide specific information regarding bonus eligibility and benefits offerings. Don't meet every single qualification? Studies show people are hesitant to apply if they don't meet all requirements listed in a job posting. If there is something slightly different about your previous experience, but it otherwise aligns and you're excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team. Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to humanresources@everfox.com . Everfox is a Federal Contractor. Certain positions with Everfox require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum. Applicants must have the right to work in the location to which you have applied.

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process ("allergic to ops work"). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based approaches like Kubernetes operators to streamline processes Own the onboarding flow other engineering teams follow when launching a new product or service Collaborate with other teams within Platform Engineering to ensure a consistent service-onboarding experience Provide internal support for our deployment systems, including answering questions and addressing issues Participate in a 24/7 on-call rotation to resolve issues involving the deployment infrastructure About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 426184 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $127,000—$249,000 USD

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process ("allergic to ops work"). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based approaches like Kubernetes operators to streamline processes Own the onboarding flow other engineering teams follow when launching a new product or service Collaborate with other teams within Platform Engineering to ensure a consistent service-onboarding experience Provide internal support for our deployment systems, including answering questions and addressing issues Participate in a 24/7 on-call rotation to resolve issues involving the deployment infrastructure About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 426184 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $127,000—$249,000 USD

Description Leidos has an exciting opening for you, our next TS/SCI cleared DevOps Software Engineer working with a dynamic team to design, develop and deploy a state-of-the-art technology stack supporting the DOMEX Data Discovery Platform (D3P) Modernization program as well as our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Defense Intelligence Enterprise (DIE). You will have impact as part of a mission focused, solutions oriented, and adaptive team that values inclusion, innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack containerized microservices architecture as well as technical systems administration, installation, and configuration. You will participate in fostering a DevOps culture, building strong cross functional collaboration with systems engineering, architecture, development, security, operations, and integration teams, in a dynamic and fast paced environment. You Will Work Closely With a Multi-disciplinary Team Of Developers, Other Software Integrators And System Administrators On The Following Key Tasks To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging Enhance and maintain CI/CD and DevOps scripts and processes including AI-integrated solutions for failure analysis, security and compliance to facilitate faster development, quicker error detection and resilient deployments Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments Configure Kubernetes (Helm, YAML, etc.) continuous deployments using ArgoCD. Collaborate with System Engineers to design solutions for new features and requirements Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing solutions in a the Kubernetes environments. Qualifications You bring enthusiasm, the ability to work well with people from different disciplines with varying degrees of technical experience, and meet the following qualifications: BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering or related field. 6+ years of experience with Master's degree. Must have an active Top Secret/ SCI security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance Knowledgeable in navigating Linux OS, specifically: Knowledgeable about K8s environments Possess at least one DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate) GitLab CI/CD pipeline development experience including: Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy Experienced with container/container orchestration, specifically Kubernetes and troubleshooting experience with: Ingress/Gateway API Multi-tenant GPU sharing Helm chart design/build Pod disruption budgets Affinity/anti-affinity rules Familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search) Comfortable with Elastic Search, Logstash, Kibana Demonstrated ability to participate in cross-functional planning, coordination, and task execution You will wow us even more if you have some of these: Experience with systems at scale Experience/knowledge of key Agile processes and techniques Experience with development, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc. Experience on a production/ enterprise system Experience with any of the following technologies: Kafka or other message passing systems (AMQP, JMS) Kubernetes monitoring, e.g., Prometheus/ Grafana, Open Telemetry· SALT for deployment automation· Nexus #NMECDTP-ALL #ASBA If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting October 16, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay And Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview Of This Role We are looking for a skilled Cloud Platform Engineer to join our Runway team. In this role, you will help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You will play a key role in advancing our Kubernetes-based platform, maturing our GitOps practices, and driving infrastructure-as-code adoption across the business. This is a hands-on technical role suited to someone who thrives at the intersection of infrastructure, automation, and developer experience. What You'll Do Kubernetes Platform Management — Operate, maintain, and improve production-grade Kubernetes clusters across cloud environments; manage cluster lifecycle including upgrades, scaling, and reliability. GitOps & Continuous Delivery — Own and extend our ArgoCD-based GitOps workflows; develop and maintain Application Sets, manage sync policies, and enforce deployment standards across environments. Infrastructure as Code — Write, review, and maintain Terraform modules to provision and manage cloud infrastructure; enforce IaC best practices including module reuse, state management, and drift detection. Platform Reliability — Monitor platform health, respond to incidents, conduct post-mortems, and drive improvements to availability, performance, and observability. Developer Enablement — Collaborate with application teams to onboard services onto the platform; create documentation, runbooks, and self-service tooling that improves developer productivity. Security & Compliance — Implement RBAC, network policies, secrets management (e.g., Vault, Sealed Secrets, External Secrets Operator), and ensure infrastructure meets security and compliance requirements. CI/CD Integration — Integrate platform capabilities with CI pipelines (e.g., GitHub Actions, GitLab CI, Tekton) to support end-to-end delivery workflows. What You'll Bring 3–5 years of experience in a platform, infrastructure, DevOps, or SRE role Solid hands-on experience with Kubernetes in production environments (EKS, GKE, or AKS preferred) Demonstrable experience with ArgoCD or comparable GitOps tooling (Flux, etc.) Proficiency in Terraform for cloud infrastructure provisioning; familiarity with remote state, workspaces, and module design Experience working with at least one major cloud provider (AWS, GCP, or Azure) Comfortable writing scripts and automation in Go, Python, Bash Familiarity with Helm for Kubernetes package management Understanding of networking fundamentals: DNS, load balancing, ingress, service mesh concepts Strong written and verbal communication skills; able to document systems clearly and collaborate across teams Preferred Requirements Experience with service mesh technologies (Istio, Linkerd, Cilium) Familiarity with policy-as-code tools such as OPA/Gatekeeper or Kyverno Exposure to observability stacks (Prometheus, Grafana, OpenTelemetry, Loki) Knowledge of Crossplane or other Kubernetes-native IaC approaches Contributions to open-source projects or internal platform tooling Experience with multi-cluster or multi-region Kubernetes architectures Relevant certifications: CKA, CKAD, AWS Solutions Architect, HashiCorp Terraform Associate About The Team Runway is GitLab's internal Platform as a Service implementation, which aims to enable teams to deploy and run their services quickly and safely. Having built-in capabilities for monitoring and scaling means that Development teams can focus on delivering and enhancing their features. The base salary range for this role's listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,000—$194,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab's policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

As a Senior GCP Architect (Lead Cloud Infrastructure Engineer II) at Deloitte, you will lead the architecture and delivery of secure, scalable Google Cloud solutions for Public Sector customers. You will serve as a senior technical advisor, guide cloud modernization and operational planning, and coordinate resolution of complex technical issues across customer and delivery teams. You will help customers achieve reliable, secure cloud outcomes in complex public-sector environments. Recruiting for this role ends on 11/21/2026. Work you'll do As a Senior GCP Architect (Lead Cloud Infrastructure Engineer II) on the AI & Engineering team, you will be responsible for: Lead the architecture and delivery of secure, scalable Google Cloud solutions; establish architecture standards, technical roadmaps, and implementation plans. Serve as a senior technical advisor to customer engineers, technology leaders, and executives; evaluate architecture and product tradeoffs and recommend integration, infrastructure, security, networking, and application strategies. Provide hands-on engineering leadership through coding, prototyping, troubleshooting, and technical validation. Lead cloud modernization, migration, and transformation initiatives; identify and manage architecture risks, technical dependencies, and delivery constraints. Coordinate with client engineering teams to resolve complex product and technical issues; review technical deliverables and mentor junior architects and engineers. A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to mentor and provide clear guidance to others The Team At Deloitte, AI & Engineering leverages engineering capabilities to build, deploy, and operate integrated, sector-focused solutions across software, data, artificial intelligence, networks, and hybrid cloud infrastructure. Our teams help clients modernize technology and data platforms, improve mission-critical operations, and enable business advantage through scalable engineering solutions. We tailor our delivery approach to each client's priorities, operating environment, and transformation goals. Qualifications Required: Must be a U.S. citizen and able to obtain a U.S. Government Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance. Bachelor's degree or have 12+ years of professional experience in cloud infrastructure, cloud operations, software development, or technical consulting. 8+ years of experience in enterprise or government cloud architecture, technical consulting, or professional services, including 5+ years of hands-on software engineering experience using Python or C++. Experience leading cloud deployments, migrations, or modernization programs and advising engineering teams and senior executives on cloud architecture, infrastructure, or modernization decisions. Experience designing, implementing, or operating Google Cloud infrastructure, networking, security, data, application, and Kubernetes services. Hold a current Google Cloud Professional certification in at least one of the following: Professional Cloud Architect; Professional Cloud Database Engineer; Professional Cloud Developer; Professional Cloud DevOps Engineer; Professional Cloud Network Engineer; Professional Cloud Security Engineer; Professional Data Engineer; Professional Machine Learning Engineer; or Professional Security Operations Engineer. Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $135,000 to $205,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Title: GCP/GKE DevOps Lead Location: Jersey City, New Jersey Minimum Experience: 08 Years Kubernetes and Compute Platform Design, operate, and upgrade GKE clusters in both Autopilot and Standard modes, including custom compute classes, node pool configuration, and capacity management. Manage multi-cluster architecture using GKE Fleet, Multi-Cluster Ingress, and Multi-Cluster Gateway. Implement workload autoscaling using KEDA and the Custom Metrics Adapter for event-driven and metrics-based scaling. Manage cluster add-ons and operational tooling, including the Secrets Store CSI Driver, Reloader, ConfigMaps, and ingress configuration. Deploy and operate serverless workloads on Cloud Run and Cloud Functions, and provision Compute Engine instances where required. Infrastructure as Code Own and maintain a modular Terraform codebase managed through Terraform Cloud, with environment-specific configurations across development, QA, staging, and production. Build and maintain reusable Terraform modules and enforce consistent standards, reviews, and plan/apply workflows. Manage Harness configuration as code through Terraform, including service, environment, and pipeline onboarding. Networking, Edge, and Certificate Management Manage global and static IP addressing, load balancing, and ingress for internet-facing and internal services. Configure and maintain edge security using Google Cloud Armor and Imperva WAF. Manage SSL/TLS certificates and automated certificate expiry monitoring to prevent service disruption. Security and Identity Define and enforce least-privilege IAM policies, service accounts, and Workload Identity through Terraform. Enforce supply-chain security using Binary Authorization on production clusters. Manage secrets through Google Secret Manager and the Secrets Store CSI Driver, and manage encryption keys in Cloud KMS, including key rotation alerting. Support runtime application security tooling (e.g., Oligo) and contribute to DevSecOps practices across the delivery lifecycle. Data and Messaging Services Provision and manage Cloud SQL (PostgreSQL) instances, including database grants, certificates, backups, and performance. Manage Memorystore, Firestore, and Cloud Storage resources, including access controls and lifecycle policies. Support event-driven architectures built on Pub/Sub. CI/CD and Source Control Build, maintain, and optimise Harness CI/CD pipelines for GKE, Cloud Run, and Cloud Functions deployments, including progressive delivery and automated rollback. Manage GitHub repositories, branching strategies, pull request workflows, and automated code review integrations. Create and optimise Docker images for security, size, and build performance, and manage images in Artifact Registry. Track and deliver work through Jira using agile practices. Observability, Reliability, and Cost Configure and maintain monitoring and alerting through Splunk detectors and Google Cloud Monitoring, integrated with Microsoft Teams notifications. Define SLOs/SLIs, lead incident response, and conduct blameless post-incident reviews. Drive cost optimisation through workload scheduling, scale-to-zero environments, rightsizing, and resource governance. Automation and AI-Enabled Engineering Develop automation and tooling using Python, Bash. Use AI-assisted development tools (Gemini, Claude, GitHub Copilot) to accelerate Terraform authoring, pipeline development, troubleshooting, and documentation. Identify, propose, and prototype AI agents that automate DevOps workflows, such as Terraform plan review, pipeline failure analysis, incident triage, certificate and key-expiry management, IAM access requests, and cost reporting. Promote responsible use of AI tools, ensuring outputs are reviewed and that sensitive data and credentials are protected.

Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We Are Proud Of The work we do and the innovation we drive Our values of share, care and dare Our borderless, global framework, which enables seamless collaboration The role As a Lead Cloud Engineer , you are passionate about experience innovation and eager to push the boundaries of what's possible. You bring [7+ years] of experience, a growth mindset and a drive to make a lasting impact. You Will Thrive In This Role If You Are A curious problem solver who challenges the status quo A collaborator who values teamwork and knowledge-sharing Excited by the intersection of technology, creativity and data Experienced in Agile methodologies and consulting (a plus) Role Responsibilities Design, deploy and manage secure GCP infrastructure with Terraform, including reusable modules, remote state and environment promotion. Build and maintain CI/CD pipelines for infrastructure changes, with code review, policy checks and automated validation. Design and operate cloud networking: VPC architectures, subnets, firewall rules, Cloud NAT, Cloud DNS and load balancing. Set up hybrid connectivity with Cloud VPN or Cloud Interconnect and manage shared networking across projects. Apply IAM least privilege, organization policies, service accounts and secrets management across projects. Set up monitoring, logging and alerting with Google Cloud Operations Suite, Prometheus or Grafana. Improve availability, performance and cost efficiency, and support incident response and root cause analysis. Automate recurring operational tasks with Python or Bash. Use AI assistants such as Gemini and Claude to develop and review infrastructure code, and to speed up documentation and troubleshooting. Set infrastructure standards, review changes and mentor other engineers. Work with application, security and delivery teams, and document designs and runbooks. Must Have Qualifications To be considered for this role, you must meet the following essential qualifications: [7+ years] in cloud or infrastructure engineering, including [3+ years] of hands-on experience with Google Cloud Platform. Expert-level infrastructure and networking skills within GCP, including VPC design, firewalls, load balancing, DNS, shared VPC, and VPN or Interconnect. Hands-on experience with Terraform building and maintaining infrastructure as code. Working knowledge of core GCP services such as Compute Engine, GKE, Cloud Storage and IAM. Experience with CI/CD tools and Python or Bash Experience designing landing zones, resource hierarchy and governance on GCP. Experience with AI-native delivery, using AI assistants to develop code and automate infrastructure work, with familiarity with Gemini and Claude. Experience guiding technical work or mentoring other engineers. Strong communication skills and a collaborative approach with client teams. Nice To Have Qualifications Google Cloud certification, such as Professional Cloud Architect, Professional Cloud DevOps Engineer or Professional Cloud Network Engineer. HashiCorp Certified: Terraform Associate. Experience with data center to GCP migrations. Experience operating Kubernetes (GKE) Experience with observability tools such as Cloud Operations Suite, Prometheus and Grafana. If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. The Benefits This is a FTE position based in United States, with a Salary between 115k to 130k annually, depending on experience and location. Beyond a Competitive Compensation Package, We Offer Flexibility, with remote and hybrid work options (country-dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting-edge tools, training and industry experts Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we'll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L'Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.

PID: 26-14-09P-067-WSU Summary E-INFOSOL LLC is seeking a motivated and results-driven Azure Infrastructure & DevOps Engineer to be a full-time employee in Washington, DC to join our innovative and customer solutions focused team. Position Overview E-INFOSOL is seeking an Azure Infrastructure & DevOps Engineer to support the design, implementation, and operation of cloud infrastructure on Microsoft Azure. This role combines Azure architecture, Infrastructure as Code (IaC), DevOps automation, and security remediation. You will work closely with development and operations teams to modernize infrastructure, strengthen security posture, and support key migration efforts. Design, implement, and manage Azure infrastructure, including compute, network, and storage services. Modernize the infrastructure repository by bringing unmanaged Azure resources into source control and refactoring Infrastructure as Code (IaC), primarily PowerShell. Automate deployments and operational workflows using IaC tools and scripting. Analyze and remediate Azure scan findings, focusing on critical and high-priority issues to meet security and compliance standards. Monitor, optimize, and troubleshoot cloud environments to ensure performance, reliability, and cost efficiency. Collaborate with cross-functional teams and provide guidance on Azure best practices. Configure CI/CD pipelines. Required Qualifications Active Top-Secret clearance meet contract requirements. Bachelor's degree in Information Technology or a related field, or equivalent experience. 5+ years of experience in cloud engineering, DevOps, or infrastructure roles. Strong proficiency with Azure services, automation, and IaC (PowerShell and ARM templates; Terraform or Ansible a plus). Experience with cloud security remediation, compliance, and governance. Strong problem-solving, communication, and collaboration skills. Experience working in an Agile/Scrum environment. Preferred Qualifications: Microsoft Azure certifications (Azure Solutions Architect, Azure Administrator, or Azure DevOps Engineer) or AWS certifications. Experience with hybrid cloud, containers (Docker/Kubernetes), and advanced networking. Experience with GitLab CI/CD. About E-INFOSOL E-INFOSOL is a Service Disabled and Veteran Owned Small Business (SDVOSB) located in the Washington, D.C. metropolitan area. We specialize in building modern and tailored solutions to support our customers' mission. As a mission-first organization, we deliver Subject Matter Expertise (SME) in cloud computing, virtualization, cyber security, software development and data services. We support the Intelligence Community, Department of Defense, Federal Law Enforcement, Civilian Agencies and the Private Sector. Through strategic partnerships with top industry players such as Amazon Web Services (AWS), Broadcom, Microsoft and Cisco, E-INFOSOL provide an array of IT products and solutions. Combined with our industry expertise, we deliver in-depth knowledge on Government requirements and fully understand NIST and DoD security requirements. Our expertise in the latest technologies combined with our understanding of infrastructure needs and security requirements provides the best combination for achieving innovative and secure environments for Government Agencies and Private Sector. Career Growth "Putting People First, Achieving our Mission Together". E-INFOSOL is a people-first organization focusing on a positive employee culture that inspires creativity and innovation in support of our customers. With opportunities such as reimbursement and bonuses based on completion of certifications, we invest in our employees' career growth. Benefits Medical – company subsidized premiums for employees, including family and dependent options. Dental and Vision Retirement Savings (401k) up to 4% match Health Savings Account (HSA), FSA and DCFSA Company-paid Short/Long-term disability (w/ additional supplemental options) Company-paid Life and AD&D (w/ additional supplemental options) Generous Paid Time Off and ALL 11 Federal Holidays Legal and Identity Protection Services Bonuses for certifications and reimbursement Employee Perks: UberOne, Company Outings (Sporting events, Happy Hours, etc.), Discounts on services including Pet Insurance Company Awards SBA 8(a) Certified SDVOSB GSA Contract Holder Inc. 5000 Equal Employment Opportunity Policy E-INFOSOL LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Website: E-INFOSOL.com