Senior/Staff DevOps Engineer, Federal

Jobgether; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Parental leave (14 weeks)

Unlimited paid time off

401(k) plan

Remote-friendly across the United Sta

Job summary

Jobgether is seeking a senior DevOps/SRE leader to design, deploy, and operate secure, scalable multi-cloud environments across AWS, Azure, GCP, and on-premises where needed. You will own infrastructure automation, CI/CD/GitOps, and incident response while advancing security and governance across federal-ready deployments.

You will mentor engineers, define reusable standards, and collaborate with product, security, and partners to ensure reliable, auditable platform operations in a

Qualifications

• U.S. citizenship is mandatory for this position.
• 10+ years of professional experience in DevOps, SRE, platform engineering, infrastructure engineering, or software engineering, including hands-on ownership of production systems.
• Extensive practical experience with Linux, Docker, Kubernetes, and production-grade cluster operations.
• Strong knowledge of Helm and infrastructure-as-code technologies such as Terraform or Pulumi, including reusable modules, state management, testing, and infrastructure change reviews.
• Hands-on experience with two major cloud platforms: AWS, Azure, or GCP, including compute, networking, storage, identity, and managed services.
• Proven experience deploying and operating software in customer-controlled, private-cloud, hybrid-cloud, or on-premises environments.
• Strong understanding of networking fundamentals and infrastructure components (DNS, ingress, load balancing, certificates, IAM, secrets, storage).
• Experience managing CI/CD pipelines or GitOps workflows for application releases, infrastructure upgrades, and rollback procedures.
• Familiarity with observability tools, production monitoring, incident management, and operational reliability practices.
• Strong programming and automation skills in Python, Go, TypeScript, or a comparable language.
• Experience securing production infrastructure and container images, vulnerability remediation, and security improvements.
• Excellent troubleshooting, analytical, and problem-solving skills with ownership from investigation to handover.
• Strong communication and collaboration skills, especially with external partners and technical stakeholders.
• Demonstrated experience using AI-assisted coding and engineering tools to improve workflows and incident investigation.
• Strongly Preferred Qualifications: government/federal security experience and clearances, restricted-network environments, STIG/NIST/FedRAMP knowledge, government cloud platforms.

Responsibilities

• Build, deploy, and operate secure, scalable multi-cloud environments across AWS, Azure, GCP, and on-premises as needed.
• Package, deploy, and validate containerized applications using Docker, Kubernetes, Helm, and approved registries.
• Create reusable infrastructure-as-code modules and CI/CD/GitOps workflows with Terraform or Pulumi and Argo CD.
• Configure networking, IAM, secrets, certificates, storage, and secure deployments across restricted or disconnected environments.
• Eliminate cloud-specific dependencies to ensure portable deployments and validate end-to-end workflows.
• Lead production troubleshooting and coordinate escalations with engineers and partners.
• Manage releases, patches, and upgrades with automated validation and rollback procedures.
• Strengthen observability with metrics, logs, traces, dashboards, and SLOs; support incident response and DR planning.
• Collaborate with security and governance teams on STIG, NIST controls, and compliance offerings.
• Support federal deployments and partner onboarding with clear responsibilities and access requirements.
• Provide technical leadership, mentor engineers, and drive reusable platform engineering standards.
• Coordinate cross-functional delivery with product, security, and external partners; identify risks and dependencies.
• Drive continuous automation improvements and platform capability enhancements.

Skills

Linux

Docker

Kubernetes

Helm

Terraform

Pulumi

AWS

Azure

GCP

CI/CD / GitOps

Networking basics

Python / Go / TS

Security & compliance

Communication skills

Tools

Argo CD

Terraform

Pulumi

Kubernetes toolchain

GitHub Actions

Container registries

Job description

Accountabilities

- Build and maintain infrastructure: Design, deploy, and operate secure, scalable environments across AWS, Azure, GCP, and customer-managed or on-premises infrastructure, adapting solutions to specific networking, access, and security requirements.

- Manage containerized environments: Package, deploy, and validate applications and their dependencies using Docker, Kubernetes, Helm, and approved container registries. Maintain version-controlled image inventories, release manifests, and deployment artifacts.

- Develop infrastructure automation: Create reusable infrastructure-as-code modules, cluster bootstrap automation, and CI/CD or GitOps workflows using Terraform, Pulumi, Argo CD, or equivalent technologies.

- Support secure deployments: Configure and validate networking, identity and access management (IAM), secrets, certificates, storage, container registries, and model-provider connectivity, including deployments in restricted or disconnected environments.

- Improve platform portability: Identify and eliminate cloud-specific dependencies that prevent deployments across different infrastructure environments. Validate end-to-end application workflows, including integrations, authentication, model access, and persistent storage.

- Own production troubleshooting: Lead technical investigations and resolve deployment, infrastructure, networking, Kubernetes, and application issues. Coordinate escalations with engineering teams and partners, ensuring solutions are validated before closing incidents.

- Manage releases and upgrades: Deliver tested software releases, patches, and infrastructure upgrades through automated validation, compatibility checks, smoke tests, rollback procedures, and clear release documentation.

- Strengthen observability and reliability: Implement and maintain monitoring, metrics, logs, traces, audit trails, dashboards, alerts, and service-level objectives (SLOs). Support incident response, disaster recovery, capacity planning, and continuous reliability improvements.

- Implement security and compliance practices: Collaborate with security and governance teams on container hardening, vulnerability scanning, CVE remediation, software bills of materials (SBOMs), and technical evidence supporting applicable STIG, RMF/ATO, and government impact-level requirements.

- Support federal infrastructure operations: Maintain and secure federal deployments through regular patching, image updates, configuration changes, and ongoing vulnerability remediation, including relevant government deployment platforms.

- Maintain technical documentation: Develop deployment guides, infrastructure inventories, operational runbooks, troubleshooting procedures, and knowledge-transfer materials. Support partner onboarding and operational handovers with clearly defined responsibilities and access requirements.

- Provide technical leadership: At Staff level, guide infrastructure architecture and reliability decisions across multiple environments, establish reusable engineering standards, mentor engineers, and reduce dependency on individual technical experts.

- Coordinate cross-functional delivery: Work with technical program managers, product teams, engineering, security, and external partners to define requirements, validate acceptance criteria, estimate work, and identify risks and dependencies.

- Drive continuous improvement: Identify recurring infrastructure and deployment challenges and transform them into reusable automation, standardized processes, and improvements to shared platform capabilities.

Requirements:

- U.S. citizenship is mandatory for this position.

- 10+ years of professional experience in DevOps, Site Reliability Engineering (SRE), platform engineering, infrastructure engineering, or software engineering, including hands-on ownership of production systems.

- Extensive practical experience with Linux, Docker, Kubernetes, and production-grade cluster operations.

- Strong knowledge of Helm and infrastructure-as-code technologies such as Terraform or Pulumi, including reusable modules, state management, testing, and infrastructure change reviews.

- Hands-on experience with at least two major cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform (GCP), including compute, networking, storage, identity, and managed services.

- Proven experience deploying and operating software in customer-controlled, private-cloud, hybrid-cloud, or on-premises environments.

- Strong understanding of networking fundamentals and infrastructure components, including DNS, ingress, load balancing, certificates, IAM, secrets management, persistent storage, and service-to-service security.

- Experience managing CI/CD pipelines or GitOps workflows for application releases, infrastructure upgrades, and rollback procedures.

- Familiarity with observability tools, production monitoring, incident management, and operational reliability practices.

- Strong programming and automation skills in Python, Go, TypeScript, or a comparable language, with the ability to work across both application and infrastructure layers.

- Experience securing production infrastructure and container images, investigating vulnerabilities, implementing remediation measures, and validating security improvements.

- Excellent troubleshooting, analytical, and problem-solving skills, with the ability to take ownership of technical issues from initial investigation through resolution and operational handover.

- Strong communication and collaboration skills, particularly when working with external partners, engineering teams, and technical stakeholders.

- Demonstrated experience using AI-assisted coding and engineering tools to improve development workflows, infrastructure automation, troubleshooting, operational analysis, or incident investigation.

Strongly Preferred Qualifications:

- Previous DevOps, SRE, or infrastructure engineering experience supporting national security, defense, federal agencies, or other government programs.

- Active U.S. government security clearance.

- Experience operating infrastructure in restricted-network, disconnected, regulated, or security-sensitive environments.

- Practical knowledge of STIG hardening, NIST security controls, FedRAMP, RMF/ATO documentation, or Department of Defense Impact Levels IL4, IL5, and IL6.

- Experience with government cloud environments, including AWS GovCloud, and federal deployment platforms such as Second Front/Game Warden.

- Knowledge of software supply-chain security, SBOMs, artifact signing, FIPS-enabled components, Harbor, and policy-as-code practices.

- Experience supporting stateful, data-intensive, AI/ML, or GPU-enabled workloads in production environments.

- Previous customer-facing, partner engineering, or forward-deployed engineering experience, particularly involving multiple organizations and operational knowledge transfer.

- Willingness and ability to travel up to approximately 20% as required for partner engagements, team collaboration, and customer deployments.

Benefits:

- Competitive compensation: Annual base salary ranging from $180,000 to $240,000, depending on experience, qualifications, skills, and other relevant factors.

- Additional compensation: Performance-based bonus opportunities and equity incentives.

- Comprehensive healthcare: 100% employer-paid medical, dental, and vision insurance coverage for employees and their families.

- Parental leave: 14 weeks of paid maternity and paternity leave at normal salary.

- Flexible time off: Unlimited paid time off, subject to management approval.

- Retirement and financial benefits: Optional 401(k) retirement savings plan and flexible spending account (FSA).

- Mental health support: Access to dedicated mental health and well-being services.

- Professional development: Opportunities for continuous learning, skills development, and career advancement.

- Career progression: Potential for rapid professional growth and increased responsibilities as the organization expands.

- Flexible working arrangements: Remote opportunities across the United States, with Seattle, WA, and McLean, VA, preferred locations.

- Technical impact: Opportunities to work on cutting-edge AI infrastructure and mission-critical technology supporting complex government and enterprise environments.

- Travel opportunities: Occasional travel to headquarters or partner/customer locations may be required, potentially every 6–8 weeks.