Find Your Dream Career

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

DevOps Engineer - Federal Customer (Chantilly, VA) (on-site 5 days per week: TS/SCI required) Job summary If you enjoy working with new technologies, enterprise-leading equipment, and have a passion for building and maintaining information technology (IT) infrastructures, we would like to speak to you. This position will play a key role in supporting next-generation infrastructure to drive innovation. You will join a diverse team of DevOps Engineers to design, deploy, maintain, and secure platform infrastructure. You will collaborate with people inside and outside the organization to deliver the highest standards for building, deploying, and securing infrastructure. The DevOps Engineer is responsible for designing, implementing, and maintaining the infrastructure. This includes automating the deployment and configuration of operating systems, applications, and platform components associated with Kubernetes. As a DevOps Engineer, you are responsible for the entire stack (DNS, IdM, OCP, OAUTH, DHCP, S3, NFS, Application Stack, and more). Key Job Responsibilities DevOps Engineers demonstrate the ability to analyze complex problems and engineer effective solutions. • Understanding of networking concepts, including bonding, bridging, VLANs, firewalls, and troubleshooting • Solid understanding of multiple operating systems (Linux, BSD, UNIX) • Knowledge of one or more scripting languages: Python, Go, Bash • Understanding of containerization platforms like Docker, Kubernetes, OpenShift • Basic understanding of security concepts, including encryption, authentication, authorization, and access controls • Ability to collaborate with cross-functional teams, including architects, developers, and project management • Flexibility to adapt to changing requirements and priorities • Desire to continue learning and professional development in the field of Platform Engineering Required Qualifications • Proficiency with multiple operation systems (Linux, Windows, Networking) • Active TS/SCI and the ability to maintain access as required by the program • Experience deploying, managing, and monitoring Kubernetes and the containerized applications running within • Working knowledge of authentication protocols and methodologies (IdM, OIDC, KeyCloak, Authentik) • Experience containerizing applications via Docker / Podman Preferred Qualifications • Proficient with filesystems (File, Block, Object) • Experience managing and validating disaster recovery processes • Ability to deploy and utilize local Large Language Models (LLMs) • Experience with iptables, ebpf, tcpdump, wireshark . Candidates must be able to lift up to 25lbs. We offer • A dynamic and collaborative working environment that fosters professional growth and development. • Opportunities for personal and technical skill enhancement through ongoing training and professional development opportunities. • A supportive and inclusive team culture that values diversity and encourages individual contributions. If you are passionate about DevOps, have a strong technical background, and thrive in a collaborative environment, we encourage you to apply for this exciting opportunity.

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

An active Top Secret/SCI Clearance with a Full Scope Polygraph is required. This job is onsite in Annapolis Junction, MD with up to one remote day/week depending on tasking. We have an immediate need for a DevOps Engineer to focus on DevOps engineering of a modernization effort to converge authoring, dissemination, and other supporting tools. Responsibilities Deploying applications Installing and configuring complex software; Managing network servers and technology tools Monitoring and maintaining the system for required levels of performance Troubleshooting issues and outages. Required Technical Skills: Linux AWS, MASH, and VMs Docker Swarm Deployments of distributed web applications (e.g. GitLab CI/CD) Terraform scripting and VM provisioning Ansible scripting and development Thorough understanding of Docker & Docker Compose container technology Git Desired Technical Skills: Python scripting and development NiFi maintenance and configuration Elasticsearch maintenance and configuration Java / Spring Boot (troubleshooting error logs) HAProxy MongoDB

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.

Senior Software Engineer – Kubernetes Operators & Controllers Location: Dallas, TX Preferred Work Arrangement: Hybrid, 3 Days Onsite / 2 Days Remote Remote Flexibility: Full remote may be considered for the right candidate Relocation: Available for qualified non-local candidates Employment Type: Direct Hire Overview Our client is seeking a Senior Kubernetes Engineer to design and build the software powering a next-generation GPU-accelerated compute platform supporting AI, machine learning, LLM, and HPC workloads. This is a software development role focused on Kubernetes , not a traditional DevOps, SRE, or Kubernetes administration position. The core focus is building Kubernetes-native software including custom operators, controllers, CRDs, APIs, schedulers, and internal platform services used to orchestrate large-scale GPU infrastructure. The ideal candidate is a strong developer who understands Kubernetes internals and has experience building software on top of Kubernetes, not simply deploying applications or maintaining clusters. Key Responsibilities Develop Kubernetes-native software using Go, Python, or similar languages. Build custom operators, controllers, CRDs, APIs, and platform services. Extend Kubernetes to support GPU-intensive AI/ML and HPC workloads. Develop automation for cluster provisioning, lifecycle management, scheduling, and infrastructure orchestration. Build GPU scheduling, allocation, workload placement, and resource-isolation capabilities. Integrate NVIDIA technologies including GPU Operator, device plugins, MIG, and DCGM. Develop internal tools and APIs for provisioning and managing GPU compute resources. Improve platform scalability, GPU utilization, workload performance, and reliability. Integrate Kubernetes with high-performance networking, storage, and bare-metal infrastructure. Build observability and automated remediation capabilities for distributed compute environments. Required Qualifications Strong software development experience with Go, Python, or another modern programming language. Hands-on experience building Kubernetes operators, controllers, CRDs, APIs, or similar Kubernetes-native software. Strong understanding of Kubernetes architecture, controllers, reconciliation, scheduling, RBAC, networking, and cluster lifecycle. Experience building platforms or distributed systems on Kubernetes. Experience with GPU infrastructure and NVIDIA technologies. Experience supporting AI/ML, LLM, HPC, or other compute-intensive workloads. Strong Linux and distributed systems knowledge. Experience with Terraform, Helm, Kustomize, Argo CD, Flux, or similar tooling. Ability to troubleshoot across Kubernetes, compute, networking, storage, GPU, and application layers. Preferred Experience NVIDIA GPU clusters. Slurm, Volcano, kube-scheduler extensions, or custom scheduling. CUDA, NCCL, PyTorch, or TensorFlow. InfiniBand, RDMA, RoCE, or other high-performance networking. Bare-metal Kubernetes. Internal developer platforms or self-service infrastructure. AI infrastructure, HPC, cloud infrastructure, or large-scale distributed systems. Ideal Candidate The ideal candidate is a software developer who builds Kubernetes-native systems . This person should be comfortable writing operators, controllers, APIs, schedulers, and automation that extend Kubernetes and manage complex GPU infrastructure. Candidates whose background is primarily DevOps, CI/CD, Terraform administration, application deployment, or Kubernetes operations without substantial software development experience are unlikely to be the right fit. Dallas-based candidates are preferred, but full remote may be considered for candidates with exceptional Kubernetes development and GPU infrastructure experience.

Location: Chantilly, VA Security Clearance: Active TS or higher [Required] w/ CI Polygraph Job Type: Full-Time Target Salary Range*: $115,000 - $179,000 This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary Position Overview The Cloud Engineer (Senior) supports advanced AI/ML workloads by designing secure, scalable cloud environments across multi-enclave and high-security settings. This role builds and optimizes cloud infrastructure for distributed model training, high-performance computing, and low-latency inference while improving automation, standardizing engineering practices, and strengthening secure cloud operations. The Cloud Engineer (Senior) also supports hybrid and on-premises infrastructure integration, container orchestration, cross-domain connectivity, identity and access management, monitoring, data services, and DevSecOps capabilities across complex enterprise environments. Key Responsibilities Cloud Architecture and Integration Design and implement cloud architectures optimized for AI/ML compute, storage, and networking requirements. Integrate public cloud platforms with on-premises hyperconverged infrastructure and accelerator hardware. Support air-gapped hybrid-cloud and on-premises operational environments, including complex multi-enclave ecosystems. Support AWS GovCloud, SC2S, C2S, and GCP cloud platforms. Support Nutanix host and cluster environments, including Prism Central and NDFS. Support locally hosted GPU servers and AI-optimized infrastructure. Apply cloud cost-optimization techniques across supported environments. Infrastructure Automation and DevSecOps Automate cloud infrastructure using DevSecOps practices and Infrastructure as Code. Develop and maintain Infrastructure as Code using Terraform and Ansible. Support Infrastructure as Code capabilities using technologies such as Bicep and CloudFormation. Enhance automation practices and standardize infrastructure processes across teams. Support advanced GitLab CI/CD pipelines and DevSecOps practices. Secure Operations and Container Orchestration Support secure and highly available operations for classified or mission-critical AI applications. Manage containerization and orchestration platforms including Docker, Kubernetes, and OpenShift. Support efficient multi-tenant cloud and container environments. Implement cloud-native security controls and support security accreditation processes. Strengthen secure cloud operations across complex multi-enclave environments. Networking and Cross-Domain Infrastructure Support Cisco switching, routing, firewalling, and site-to-site connectivity, including IPsec, DMVPN, and SD-WAN. Configure and support cloud networking and VPC environments. Support multi-tenant Cross-Domain Solutions. Support high-assurance cross-domain and encryption solutions including TACLANE and NCAP. Identity, Security, and Governance Support identity and access services including Microsoft Active Directory, LDAP/OpenLDAP, Entra ID, and Keycloak. Implement data and model governance practices supporting secure AI pipelines. Apply secure cloud practices across classified, multi-enclave, and mission-critical environments. Data Services, Monitoring, and Platform Support Support enterprise database services including RDS, RDS Aurora, and DynamoDB. Support monitoring, logging, and data platforms including Elasticsearch, OpenSearch, and Splunk. Support Linux operating systems including Rocky Linux, Red Hat, Amazon Linux, and Ubuntu, as well as Windows and macOS. Support serverless architectures using AWS Lambda. Support microservices architectures and API Gateway implementations. Apply development experience with Python, .NET/C#, and related languages to infrastructure automation and platform integration. Qualifications Education Bachelor's degree. [Required] Experience Minimum 8 years of relevant experience. [Required] Hands-on experience with major cloud providers including AWS, Azure, and GCP. [Required] Experience with Kubernetes and cloud networking and storage optimization. [Required] Skills Knowledge of cloud engineering, infrastructure, or related technical disciplines. [Required] Knowledge of AI/ML compute environments, distributed systems, or high-performance computing. [Required] Experience with Infrastructure as Code tools including Terraform, Bicep, and CloudFormation, and with DevSecOps pipelines. [Required] Strong understanding of secure cloud practices and multi-enclave operations. [Required] Effective communication and cross-team collaboration skills. [Required] Preferred Qualifications Experience with hybrid or multi-cloud integrations. Familiarity with GPU and accelerator hardware and AI-optimized cloud patterns. Cloud certifications such as AWS Solutions Architect or Azure Architect. Experience working in high-security or classified environments.

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.

NO SPONSORSHIP - NO OPT Senior Cloud Engineer SALARY: $148,750-$190,000 LOCATION: 4 days onsite, Chicago, IL Looking for a candidate with 6+ years with AWS. GCP and deep Kubernetes. Your responsibilities will be: Build and maintain a globally distributed cloud infrastructure platform using Infrastructure as Code (e.g., Terraform) Collaborate with Cloud Platform Engineering and business unit application teams to engineer infrastructure solutions for their cloud-based applications Design, deploy, and operate Kubernetes-based platforms and workloads (EKS, Cluster API), including GitOps workflows (e.g., Argo CD) Support and enhance CI/CD pipelines and infrastructure automation Perform system and database maintenance, including application deployment, backup and restoration, patching, and upgrades Maintain cloud environments through incident response, troubleshooting, and performance tuning Participate in on-call rotations and support operational readiness The ideal candidate has 6+ years of experience working with public cloud platforms (AWS and GCP preferred) in a professional setting. Deep, hands-on experience deploying and managing Kubernetes (EKS, GKE) and GitOps (Argo CD). Deep, hands-on experience using Terraform, CI/CD tools (e.g., Jenkins, GitHub Actions), and scripting languages (Python) to deploy, maintain, and support cloud infrastructure. Strong experience supporting containerized applications and Linux-based systems. Strong understanding of networking, IAM, cloud observability, and common cloud services such as AWS VPC, EC2, S3, SNS, SQS, and Lambda. Familiarity with managing secrets and sensitive configuration using tools such as HashiCorp Vault.

Overview GovCIO is currently hiring for a Kubernetes Cloud DevOps Engineer who serves as a technical leader and mentor, ensuring platform reliability, automation maturity, and operational excellence across distributed teams and environments. This position will be located on Fort Bragg, North Carolina and will be an on-site position. Responsibilities The Kubernetes Cloud DevOps Engineer is responsible for designing, deploying, and sustaining scalable, secure, and highly available cloud-native environments supporting mission-critical operations. This role operates with a high degree of autonomy, applying deep technical expertise to solve complex infrastructure and platform challenges while driving continuous improvement across cloud and DevOps ecosystems. The engineer serves as a technical leader and mentor, ensuring platform reliability, automation maturity, and operational excellence across distributed teams and environments. Cloud & Platform Engineering Design, deploy, manage, and optimize Kubernetes-based cloud environments (e.g., AWS, Azure, or hybrid DoD architectures) Administer container orchestration platforms ensuring high availability, scalability, and resilience Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform, Bicep, or CloudFormation DevOps & Automation Build and maintain CI/CD pipelines to support rapid, secure, and repeatable deployments Automate provisioning, configuration management, and application delivery workflows Drive DevSecOps best practices, integrating security into all phases of the pipeline Operations & Reliability Monitor system performance, availability, and security posture using modern observability tools Rapidly troubleshoot and resolve complex cloud and Kubernetes issues across multiple environments Lead root cause analysis and implement corrective actions to prevent recurrence Innovation & Continuous Improvement Develop and implement innovative solutions to complex technical challenges Continuously evaluate emerging technologies and recommend improvements to platform architecture Enhance system performance, cost efficiency, and operational scalability Leadership & Mentorship Provide technical guidance and mentorship to junior engineers and cross-functional teams Operate independently with minimal oversight while aligning to program and mission objectives Support team development, knowledge sharing, and DevOps maturity advancement Qualifications High School with 10+ years (or commensurate experience) Required Skills And Experience Clearance Required: TS/SCI DoD 8570 IAT Level II Certification Linux Essentials LPI Certified Kubernetes Administrator Azure Administrator Hands-on experience with Kubernetes (cluster deployment, operations, and troubleshooting) Experience with at least one major cloud provider (AWS, Azure, or GCP) Strong experience with Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation, etc.) Experience building and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions) Proficiency with container technologies (Docker, container registries) Experience with monitoring/logging tools (e.g., Prometheus, Grafana, ELK, Cloud-native tools) Strong scripting skills (e.g., Python, Bash, PowerShell) Ability to communicate technical ideas and deliver briefings with cross-functional teams work in a high-demand environment and provide technical expertise on all phases of system Current and active U.S. Drivers License Current and active U.S. Passport Must have the ability to wear personal protective equipment, including a protective mask, ballistic helmet, body armor, and chemical/biological protective garments Medically/Physically fit for deployment with U.S. Military Forces Outside the Continental United States (OCONUS) under the provisions of USCENTCOM Medical Standards Preferred Skills And Ex Cisco Certified Network Professional Certified Kubernetes Application Developer AWS Solutions Architect Experience with developing tactical, expeditionary cross-domain solutions to deliver FMV across different environments, enclaves, and networks Experience with designing, installing, configuring, and troubleshooting expeditionary, global, regional, and disconnected networks, including internal LAN traffic, WAN, Satellite communications, commercial leased lines, long haul circuits, distributed packet processing, data compression, encryption, and various data transport systems Experience with evaluating projected network usage and reviewing utilization reports Experience with Agile development methodologies and working with Agile teams using collaboration tools such as Gitlab. Knowledge of network engineering in cloud and disconnected edge environments Experience supporting DoD or Federal cloud environments (e.g., IL2–IL6, GovCloud, Azure Government) Familiarity with DevSecOps, STIG compliance, and RMF frameworks Experience with service mesh technologies (e.g., Istio, Linkerd) Posted Salary Range: USD $140,000.00 - USD $160,000.00 /Yr.

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov's mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com. Job Summary OpenGov is modernizing how governments operate. The infrastructure for that mission must be fast, resilient, and ready to scale. As a Sr. DevOps Engineer, you'll own the design and delivery of the cloud systems, CI/CD pipelines, and security architecture that keep our multi-tenant SaaS platform running for thousands of public sector customers. This is a high-ownership role for an engineer who moves fluidly between deep technical execution and cross-functional influence. This engineer builds AI-forward infrastructure that directly shapes how government services are delivered. Responsibilities Architect and own OpenGov's multi-tenant Azure and AWS infrastructure, ensuring high availability, fault tolerance, and disaster recovery readiness at scale. Lead infrastructure-as-code strategy using any IaC (Terraform, CloudFormation, Pulumi, or Crossplane), driving consistency, repeatability, and auditability across environments. Design, build, and continuously improve CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or others) that enable rapid, reliable feature delivery. Drive cloud cost optimization and performance engineering across AWS and Azure services, balancing efficiency with reliability commitments. Own the security posture of cloud infrastructure and partner with compliance teams on SOC2 and StateRamp adherence. Establish and manage observability practices using tools like Grafana, Prometheus, and Azure Monitor. Lead incident response and post-mortem processes with a focus on systemic improvement. Serve as a cross-functional technical advisor to engineering, product, and security teams. Translate business priorities into scalable infrastructure decisions. Mentor and develop junior engineers, elevate technical standards, and build a culture of operational excellence. Requirements And Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. 8+ years of software engineering experience with a deep focus on cloud infrastructure, DevOps, and platform engineering. 3+ years running Kubernetes at scale in production on public cloud environments (Azure preferred). Proven track record with AWS, Azure, or GCP infrastructure for SaaS applications. Experience includes managed Kubernetes, databases, networking, and RBAC management. Hands-on expertise with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, or Crossplane) in production environments. Strong command of CI/CD tooling (GitHub Actions, Jenkins, CircleCI, or equivalent) and modern delivery practices. Deep knowledge of cloud security practices, including encryption, RBAC, IAM, and network security architecture. Proficiency in at least one modern programming language (Python, Go, Java, or Ruby). Experience with AI-driven developer tooling, workflow automation, or agent-based systems in an engineering context. Familiarity with ArgoCD or other GitOps-based deployment frameworks. Experience with regulated environments and compliance frameworks such as SOC2 or StateRamp. Why OpenGov? A Mission That Matters. At OpenGov, public service is personal. We are passionate about our mission to power more effective and accountable government. Government that operates efficiently, adapts to change, and strengthens public trust. Some people say this is boring. We think it's the core of our democracy. Opportunity to Innovate The next great wave of innovation is unfolding with AI, and it will impact everything—from the way we work to the way governments interact with their residents. Join a trusted team with the passion, technology, and expertise to drive innovation and bring AI to local government. We've touched 2,000 communities so far, and we're just getting started. A Team of Passionate, Driven People This isn't your typical 9-to-5 job; we operate in a fast-paced, results-driven environment where impact matters more than simply clocking in and out. Our global team of 800+ employees is united in our commitment to challenge the status quo. OpenGov is headquartered in San Francisco and has offices in Atlanta, Boston, Chicago, Dubuque, Dallas, and Pune. A Place to Make Your Mark We pride ourselves on our performance-based culture, where every employee is encouraged to jump in head-first and take action to help us improve. If you have a great idea, we want to hear it. Excellent performance is recognized and rewarded, and we love to promote from within. Benefits That Work For You Enjoy an award-winning workplace with the benefits to match, including: Comprehensive healthcare options for individuals and families Flexible vacation policy and paid company holidays 401(k) with company match Paid parental leave, wellness stipends, and HSA contributions Professional development and growth opportunities A collaborative office environment with weekly catered lunches.