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Washington D.C. Pay Range: $120,000 - $140,000 USD LightFeather is seeking a GCP Cloud/DevOps Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment. This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment. Location: In-Person (5 days/week) in Washington, DC Job Type: Full Time Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance Key Responsibilities Design, implement, and manage secure and scalable cloud infrastructure using GCP. Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools. Support CI/CD pipeline automation, integration, and management. Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows. Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs. Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST). Provide documentation and knowledge sharing with the broader engineering team. Required Qualifications Willing to obtain a security clearance. 4+ years of experience in cloud engineering, with at least 2 years on GCP. Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery. Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager. Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build. Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum environment. Preferred Skills GCP Professional Cloud Architect or DevOps Engineer certification. Experience supporting federal government contracts and understanding of ATO processes. Familiarity with other cloud platforms (AWS, Azure) is a plus. Scripting skills in Python, Bash, or Go. Why Join LightFeather? At LightFeather, you're not just taking a job—you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: We are looking for an experienced Cloud Engineer with deep hands on expertise in multi cloud environments and a strong emphasis on Google Cloud Platform. This role is highly technical and requires an engineer who can both implement cloud infrastructure and think at an architect level — designing scalable patterns, building automated deployment frameworks, and supporting enterprise AI workloads across multiple security domains and compliance boundaries. You will work heavily with custom software deployments, Docker-based workloads, Cloud Run, and eventually GKE, while ensuring infrastructure is automated, secure, compliant, and built via Terraform and CI/CD pipelines rather than console-driven operations. You're already a strong cloud practitioner who is naturally curious, self-driven, and comfortable exploring new services independently — including using AI tools to accelerate learning and design. This role supports deployments across Unclassified and Classified fabrics, requiring strict adherence to FedRAMP, Zero Trust, and cross-domain (CDS) requirements. Responsibilities: Multi Cloud Infrastructure (GCP Focused) Provision and configure cloud resources with a strong emphasis on GCP (Cloud Run, Vertex AI, Artifact Registry, Secret Manager, IAM). Design scalable patterns for containerized workloads, beginning with Cloud Run and expanding to GKE as needed. Deploy and manage Docker-based applications across GCP and AWS GovCloud. Support AI workload hosting using Vertex AI (GCP) and Bedrock (AWS) in secure, multi-domain environments. Infrastructure as Code & DevOps Automation Build all infrastructure using Terraform (preferably modular patterns) and maintain automation-first standards. Write scripts to support deployment, automation, and operational workflows. Maintain CI/CD pipelines (GitHub Actions, Cloud Build, etc.) for reproducible deployments across all security fabrics. Implement GitOps and DevOps best practices; avoid console based configuration. Secure, Classified, and Cross-Domain Cloud Operations Build and maintain cloud architectures spanning Unclassified and Classified environments with strict security boundaries. Implement and troubleshoot cross-domain solutions (CDS), secure data transfer patterns, and enclave-specific configurations. Ensure Zero Trust-aligned configurations for each security domain. Support FedRAMP compliance and ATO-related activities for multi-domain deployments. Enterprise-Scale Architecture & Operational Excellence Design enterprise-grade cloud patterns that scale beyond prototypes — multi-tenant environments, reusable modules, structured network segmentation, and standardized deployment frameworks. Configure VPC networking, IAM policies, access controls, and segmentation strategies across multiple clouds and domains. Implement monitoring, logging, and alerting to ensure platform reliability, security, and performance. Support cloud migration activities transitioning on-prem systems into multi-cloud architectures hosting AI workloads. Collaboration & Continuous Learning Collaborate closely with Cloud Solution Architects, DevOps Engineers, Data Engineers, and AI Developers. Explore and learn new cloud services proactively; identify which services best support architectural and business goals. Leverage AI tools to accelerate learning, analysis, troubleshooting, and ideation. Document architecture, configurations, runbooks, operational procedures, and cross-domain designs. Here's what we need: Minimum 5+ years of hands-on cloud engineering experience. Strong delivery experience on GCP, plus working knowledge of AWS GovCloud. Expertise deploying Docker-based custom software at scale. Strong Terraform engineering capability. Have a CI/CD-first mindset; comfortable designing DevOps patterns end-to-end. Comfort working in secure, regulated, and cross-domain environments. Active Top Secret clearance required with CI poly. Must be willing to work onsite in Washington, DC. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $81,000—$154,700 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, and London. For more information, please visit www.chaosinc.com. The Role You'll join a small, highly collaborative team in San Francisco building the cloud platform behind some of the world's most advanced radar systems. You'll design, build, and operate both the infrastructure and the backend services that move mission-critical sensor data from radars in the field to the operators who depend on it. The platform is in production and growing fast, and your job is to scale it as our fleet of sensors, customers, and deployments grows. Responsibilities Cloud Infrastructure - design and operate our Azure infrastructure as code with Terraform: networking, Azure Container Apps, managed databases, and the CI/CD pipelines that deploy to them. Backend Platform Services - build and own high-throughput Python (FastAPI) services and the data layer behind them (PostgreSQL/TimescaleDB, Redis, Cosmos DB) that ingest and stream real-time sensor data. Platform Architecture - work with engineering teams across the company to define the architecture of the next generation of the platform. Operations - own security, reliability, and observability across the platform: identity and access, secrets management, network isolation, monitoring and alerting (Datadog), and incident response. Minimum Requirements Have built and operated production infrastructure in at least one major cloud - Azure, AWS, or GCP - defined in code with Terraform, Pulumi, Bicep, or CloudFormation. Have run containerized production workloads (Docker) on a managed platform such as Azure Container Apps, AWS ECS or Fargate, Google Cloud Run, or Kubernetes. Have strong cloud networking fundamentals: virtual networks, subnets, routing, DNS, load balancers, private endpoints, and firewalls. Have built and operated production backend services in Python, Go, or a similar language, and understand what happens under load - concurrency, async I/O, connection pooling, and resource limits. Are fluent in distributed systems: consistency and replication, partitioning, caching, back-pressure, idempotency, and how systems fail - and how to design so that they degrade gracefully. Have scaled a production system well beyond its original design, and fixed what broke on the way. Build securely by default - least-privilege access, secrets kept out of code, and patched, hardened systems - and can explain the trade-offs behind those choices. Preferred Requirements Azure Government, AWS GovCloud, or other regulated environments (FedRAMP, CMMC, NIST 800-171 or 800-53). Real-time and streaming data systems: WebSockets, server-sent events, pub/sub, and message queues. Identity and cloud security: Entra ID, OAuth 2.0 / OIDC, managed identities, service-to-service authentication, and policy as code. Why CHAOS? Health Benefits: Medical, dental, and vision benefits 100% paid for by the company Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more Our Perks: Free daily lunch while you're working onsite, fully-stocked kitchen, unlimited PTO, casual dress code Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses Team Growth: 500+ employees and counting across 5 global offices Salary Range: $140,000 - 240,000 The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 11/15/2026. Work You'll Do As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for... Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions The Team Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value. In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field 4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM) Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions Strong understanding of cloud security, networking, governance, and enterprise platform operations Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks certifications preferred Experience working across hybrid cloud or enterprise modernization initiatives Consulting experience supporting large-scale transformation programs Wages + Salary 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 $ 116,200 to $ 229,100 . 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.

Azure Infrastructure Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Azure Infrastructure Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$120,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking a skilled Azure Infrastructure Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure-as-code, automation, security hardening, cost optimization, observability, and ongoing operational excellence for production workloads. The ideal candidate will combine deep technical expertise across Azure services with strong DevOps engineering practices, and will partner closely with application development, security, and SRE teams to deliver cloud-native solutions that meet demanding business requirements for scalability, reliability, and compliance. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical discipline Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments Strong hands-on experience with Azure core services, including compute, storage, networking, identity, and platform-as-a-service offerings Production-level experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates Solid experience designing and operating Azure Kubernetes Service (AKS) clusters at scale Hands-on experience with Azure DevOps or GitHub Actions for CI/CD across infrastructure and applications Strong scripting skills in PowerShell, Bash, and Python, with the ability to write maintainable automation code Deep understanding of cloud security principles, identity management, and compliance frameworks Experience implementing monitoring, alerting, and observability strategies across distributed workloads Strong troubleshooting, communication, and documentation skills Preferred Qualifications Microsoft Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert certification Experience operating hybrid cloud or multi-cloud environments spanning Azure and on-premises infrastructure Familiarity with service mesh technologies such as Istio or Linkerd on AKS Exposure to FinOps practices and cloud cost-management tooling Experience with regulated environments such as HIPAA, PCI-DSS, SOC 2, or FedRAMP How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR w4HyHCtMht

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 11/15/2026. Work You'll Do As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for... Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions The Team Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value. In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field 4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM) Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions Strong understanding of cloud security, networking, governance, and enterprise platform operations Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks certifications preferred Experience working across hybrid cloud or enterprise modernization initiatives Consulting experience supporting large-scale transformation programs Wages + Salary 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 $ 116,200 to $ 229,100 . 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.

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 11/15/2026. Work You'll Do As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for... Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions The Team Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value. In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field 4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM) Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions Strong understanding of cloud security, networking, governance, and enterprise platform operations Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks certifications preferred Experience working across hybrid cloud or enterprise modernization initiatives Consulting experience supporting large-scale transformation programs Wages + Salary 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 $ 116,200 to $ 229,100 . 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.

Be Challenged and Make a Difference In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. Description of Task to be Performed: AnaVation is seeking an experienced cloud engineer to join our high- performing team. This work is onsite in Quantico, VA. You'll keep a complex hybrid environment running for a mission enterprise application that people depend on every day to do their jobs. That covers AWS commercial accounts, a GitLab CI/CD pipeline across dev, test, and prod, and on-prem hardware that you'll maintain from the rack up. This is an on-site role, with hybrid options available once you've established yourself on the team. What You'll Do Maintain and improve AWS commercial infrastructure using infrastructure as code Run and troubleshoot CI/CD pipelines in GitLab across dev, test, and prod environments Keep multiple environments stable, consistent, and working as expected Rack, swap, and maintain on-prem servers Patch and update on-prem Debian-based Linux systems Support monitoring and logging so issues are caught before users notice them This position requires regular on-site presence in Quantico, VA. Applicants who do not currently reside within commuting distance to this location should describe how they would satisfy any onsite requirements. This position requires an active Top Secret clearance and the ability to obtain SCI accesses with a CI polygraph. Required Qualifications: 3 to 5 years of experience in cloud or relevant systems engineering Active TS/SCI clearance, and willingness to complete a CI polygraph Hands-on experience building and maintaining AWS infrastructure with infrastructure as code Experience with CI/CD pipelines across multiple environments Hands-on experience maintaining physical servers Experience administering and patching Debian-based Linux and Windows systems Preferred Qualifications: Terraform ICAM experience AWS Certified Solutions Architect, Associate or higher GitLab CI Containers (Docker, Kubernetes, EKS) Scripting (Python, Bash) Monitoring and logging tools Ansible Atmos Benefits Generous cost sharing for medical insurance for the employee and dependents 100% company paid dental insurance for employees and dependents 100% company paid long-term and short-term disability insurance 100% company paid vision insurance for employees and dependents 401k plan with generous match and 100% immediate vesting Competitive Pay Generous paid leave and holiday package Tuition and training reimbursement Life and AD&D Insurance About AnaVation AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team. If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you! AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Please note: The listed salary range reflects our market-based compensation structure. Final compensation will depend on business needs, local market conditions, internal equity, and the selected candidate's skills, education, and experience.

Vast is developing next-generation space stations and space infrastructure using an incremental, hardware-rich, and low-cost approach. Vast is rapidly developing its multi-module Haven Station to ensure a continuous human presence in space for America and its allies, enabling advanced microgravity research and manufacturing, and unlocking a new space economy for government, corporate, and private customers. Haven Demo's 2025 success made Vast the only operational commercial space station company to fly and operate its own spacecraft. Next, Haven-1 is expected to become the world's first commercial space station when it launches in 2027, followed by additional Haven modules. Additionally, the company recently announced Vast Satellite , a high-power satellite product line leveraging its space station components and the heritage of Haven Demo. Headquartered in Long Beach, California , and with more than 1,000 employees and over a billion dollars in private capital, Vast has built the facilities required to manufacture and operate America's next space station. The company plans to develop future habitats and systems for the Moon and Mars, dedicated space stations for government partners, and other crewed systems that will unlock the expanding long-term space economy. Vast is looking for a Senior Infrastructure Engineer , reporting to the Manager, IT Infrastructure , to support the development of the systems that will be required for the design and build of human-rated space stations. In this role you will have the opportunity to build a modern IT infrastructure from the ground up. We build our systems cloud-first, with an emphasis on researching and deploying the latest technologies and paradigms. This will be a full-time, exempt position located in our Long Beach location. Responsibilities Independently design, build, and maintain complex, highly available, secure, and cost-optimized systems in AWS, Kubernetes, and Linux/Windows server environments Write high-quality infrastructure-as-code and automations to make systems reliable and easier to maintain Act as technical lead for infrastructure projects. Set the roadmap and pacing, break work into milestones and tasks, and coordinate work among team members Provide quality support for your systems. Respond urgently to issues and identify root causes to prevent recurrence Minimum Qualifications 5+ years of experience designing, deploying, and managing enterprise IT infrastructure Proficiency with public cloud systems (AWS, Azure, GCP) Experience with infrastructure as code, including terraform, gitops, ansible, and/or puppet Broad IT expertise, can integrate infrastructure with networking, security, DevOps, and software development Preferred Skills & Experience Experience with self-hosted AI systems, AI agents, and Model Context Protocol (MCP) platforms Experience writing Lambdas and scripts to automate configuration and recurring tasks Understanding of networking protocols and infrastructure (BGP, VPNs, DNS, DHCP) Experience working with ITAR, NIST, FIPS, and FedRAMP compliant systems Excellent written and verbal communication. You can explain technical concepts to people unfamiliar with them and gather requirements from cross-functional partners Additional Requirements Willingness to work overtime, or weekends to support critical mission milestones Pay Range: California $146,000—$208,000 USD We calibrate level and compensation to the selected candidate's experience and demonstrated capability. We welcome applicants across a range of experience levels to apply. Compensation And Benefits Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand. Salary is just one component of our comprehensive compensation package. Full-time employees also receive company equity, as well as access to a full suite of compelling benefits and perks, including: medical, dental, and vision coverage for employees and dependents, generous paid time off; up to 20+ days of vacation for exempt staff and up to 10+ days of vacation for non-exempt staff with the ability to cash-out unused vacation annually, paid parental leave, short and long-term disability insurance, life insurance, access to a 401(k) retirement plan, ClassPass credits, personalized mental healthcare through Spring Health, and other discounts and perks. We also take pride in offering exceptional food perks, with snacks, drip coffee & onsite barista, cold drinks, and dinner meals remaining free of charge, and lunch subsidized as part of Vast's ongoing commitment to providing high-quality meals for employees. EQUAL OPPORTUNITY Vast is an Equal Opportunity Employer; employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Company Description Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That's why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. Job Description Vericast is seeking a Cloud Engineer to support and operate our Microsoft Azure and Microsoft 365 platforms. This role is responsible for the engineering, administration, and continuous improvement of enterprise cloud and identity services, including Azure Virtual Desktop (AVD), Microsoft Entra ID, M365 email systems, and emerging AI capabilities such as Microsoft Copilot and Copilot Studio. This is a hands-on engineering role , not a pure architecture position. The ideal candidate will have strong technical depth and the ability to design, build, troubleshoot, and operate cloud and identity solutions in a production environment. Key Responsibilities Azure Platform Engineering Design, implement, and support Azure-based infrastructure and services Operate and optimize Azure Virtual Desktop (AVD) environments Ensure platform scalability, availability, and cost efficiency Implement and maintain infrastructure as code (e.g., Terraform, Bicep, ARM templates) Identity & Access Management Administer and support Microsoft Entra ID (Azure AD) Design and maintain: Single Sign-On (SSO) Conditional Access policies Identity lifecycle and governance processes Integrate enterprise applications with identity solutions (e.g., SailPoint or similar platforms) Microsoft 365 Platform Support and manage Microsoft 365 services, including Exchange Online and email integrations Troubleshoot issues across Azure, Entra ID, and M365 services Implement and support security and compliance controls across the M365 platform AI & Copilot Enablement Support and operationalize Microsoft Copilot and Copilot Studio Assist with integration of Copilot into enterprise workflows and business applications Provide technical support and troubleshooting for AI-enabled productivity tools Operations & Support Serve as an escalation point for complex platform and identity issues Perform root cause analysis and implement long-term remediation Monitor platform health, performance, and security posture Excellent communicator both written and verbal. Partner with cross-functional teams to deliver integrated cloud and identity solutions Qualifications Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; or equivalent combination of education and work experience. Experience 3+ years of professional experience in software engineering, application development, systems engineering, or a related technical field. Experience developing, modifying, supporting, and maintaining business applications and systems. Experience participating in cross-functional projects and delivering technology solutions in a business environment. Experience estimating technical work efforts and supporting solution delivery. Additional Information Base Salary Range: $80,000 - $140,000 (Based on verified experience) Applications will be accepted until the posted deadline November 25, 2026 or until a sufficient candidate pool has been identified. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities. Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K with company match and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers! What We Believe At Vericast, we believe what's good for people is good for business. Everything we do starts from a place of purpose to drive meaningful impact for our clients, our people and our communities. We've cultivated a culture of collaboration, a heritage of innovation and a focus on workplace flexibility. Every day you will have the opportunity to bring your passion and expertise to create opportunities to grow and thrive. Together, let's advance performance for all. At Vericast, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Deposits team of Consumer & Community Banking Division, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Lead Live Site Management and cloud production management practices, including production readiness, change governance, incident response, problem management, and operational risk reduction. Define and improve SRE practices, including service-level indicators, service-level objectives, error budgets, capacity planning, and reliability engineering. Advance observability across applications and infrastructure through effective logging, metrics, distributed tracing, dashboards, alerting, and automated anomaly detection. Drive major incident response, root-cause analysis, corrective actions, and the systematic elimination of recurring production issues. Establish production health, availability, performance, and resiliency measures that provide actionable insight to engineering and business leadership. Promote team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team. Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation. Shape the end-to-end AWS cloud architecture strategy across all product components ; Strengthen cloud cost strategy and optimization across the product. Advance the resiliency strategy, including multi-region, active-active, failover/failback, and disaster recovery. Evolve the automation and infrastructure-as-code strategy ; Mature AI integration across engineering and product workflows. Raise the bar on shared architectural standards and decision-making across teams ; Sharpen how complex technical strategy is distilled into leadership-facing narratives. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 5+ years applied experience Deep, broad AWS expertise across compute, data, networking, security, and observability, with proven production architecture experience. Systems thinking, including the ability to reason about trade-offs, failure modes, and dependencies across an entire product. Strategic command of cost, scalability, automation, reliability, and AI integration as connected levers. Hands-on depth to validate and prototype ideas, not just advise. Executive communication and rigorous, independent judgment in a regulated, high-stakes environment. Proven experience managing cloud-hosted production services and leading Live Site Management practices in complex, business-critical environments. Strong SRE and observability expertise, including SLI/SLO definition, error budgets, telemetry, distributed tracing, alert design, capacity management, and performance engineering. Demonstrated ability to lead high-severity incident response, perform root-cause analysis, and drive durable remediation across multiple engineering teams. Experience establishing production readiness standards, operational controls, runbooks, dashboards, and measurable service health objectives. Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. About Us Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

At Bellota Labs , we are a fast-paced, hypergrowth startup poised to revolutionize the gaming world with ClubWPT Gold —a groundbreaking product from the World Poker Tour . Driven by innovation, game integrity, and exceptional customer experiences, we are on a mission to set new standards in online gaming. We are seeking an experienced Senior Site Reliability Engineer (SRE) to design, build, and maintain highly reliable, scalable, and secure systems. You will play a critical role in ensuring system availability, performance, and operational excellence across our infrastructure and applications. As a senior member of the team, you will also mentor engineers, influence architecture decisions, and drive best practices in reliability engineering, automation, and incident management. Key Responsibilities: Reliability & Availability Design and implement highly available, scalable, and fault-tolerant systems Define and maintain SLIs, SLOs, and SLAs Lead incident response, root cause analysis (RCA), and postmortems Improve system resiliency and reduce operational toil through automation Observability & Monitoring Design monitoring, alerting, and logging strategies Implement tools such as Prometheus, Grafana, Datadog, ELK, or similar Establish proactive alerting and capacity planning processes Performance & Scalability Conduct performance testing and optimization Identify bottlenecks and implement improvements Support system scaling initiatives and architecture reviews Collaboration & Leadership Partner with engineering teams to embed reliability into development processes Lead reliability initiatives and cross-functional projects Mentor junior engineers and promote SRE best practices Experience: 5+ years of experience in SRE, DevOps, or Infrastructure Engineering Strong experience with cloud platforms (AWS) Deep understanding of Linux systems and networking fundamentals Experience with containerization and orchestration (Docker, Kubernetes) Proficiency in scripting/programming (Python, Go, Bash, or similar) Experience with monitoring and observability platforms (Datadog/Prometheus) Preferred Technologies (Nice to Have): Experience operating high-scale production systems Experience with microservices architecture Background in database reliability (Postgres, MySQL, Redis, etc.) Experience implementing SRE practices (error budgets, blameless postmortems) Experience with AI-driven SRE Lead High-Impact Projects – Play a key role in delivering innovative gaming experiences to a global audience Collaborate Across Borders – Work with talented teams across Asia and the US Fast-Paced Growth – Be part of a hypergrowth startup with ambitious goals Competitive Benefits – Enjoy a top-tier compensation package in a dynamic company We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. California-Employee-Privacy-Notice 10.16.2026