Build:

Ship reusable Terraform modules, Ansible roles, and GitHub Actions workflows adopted by multiple teams each quarter, with versioning and tests. Apply software engineering practices (modular design, code review, automated testing) to infrastructure code and internal tooling, not just application code.

Automate:

Use ticket/runbook data to target high-toil work. Set a ROI goal for each project and report time saved and ticket reduction after launch.

Enable:

Write task-focused docs and run short enablement sessions. Participate in escalation for services we own.

Standardize:

Maintain reference architectures and guardrails for networking, identity, and security across AWS and Azure. Review designs and contribute PRs.

Integrate:

Wire secrets management and security scanning into CI. Align Kubernetes delivery with GitOps practices.

Accelerate:

Use AI-assisted development tools (GitHub Copilot, Claude Code, and similar) as a core part of your daily workflow. Regularly evaluate and refine your setup, including skills, plugins, prompts, and agents, and share improvements with the team. Stay current on which AI tools are approved for use, and if you identify a promising new one, drive it through the compliance/approval process.

Innovate:

Spend dedicated time looking 6-12 months ahead to anticipate platform and workflow problems before they become urgent. Run proofs-of-concept on emerging tools and approaches, and bring findings back to the team. Actively collaborate with teammates to brainstorm and pressure-test new ideas.

Technical Stack:

AWS and Azure, Terraform, Ansible, GitHub Actions, Kubernetes, Argo CD, Vault, Python/Typescript, Linux, Bash /PowerShell, GitHub Copilot, Claude Code. What you'll need

Bachelor's degree in computer science, engineering, or equivalent.
4-5+ years building cloud platform capabilities in AWS or Azure.
Strong Terraform skills and experience with at least one CI system.
Proficiency in at least one general-purpose programming language (Python, TypeScript, or Go), with solid software engineering fundamentals: version control workflows, code review, and automated testing.
Kubernetes fundamentals: container build, Helm or Kustomize, deploying to clusters. Cluster operations not required.
Familiarity with GitOps delivery patterns (e.g., Argo CD) and integrating secrets management into CI/CD pipelines.
Cloud networking basics: CIDR, routing, security groups/NSGs.
Working knowledge of PKI and DNS for app delivery.
Comfortable on Linux and fluent in at least one scripting language.
Daily, hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Claude Code), with a track record of tailoring your AI workflow through custom skills, plugins, or configurations.
Demonstrated curiosity for evaluating new tools and technologies, with experience prototyping or running small proofs-of-concept to test ideas before proposing them broadly.
Comfort working within an organization's tool-approval or compliance process to introduce new software, rather than working around it.
Excellent cloud infrastructure design and problem-solving skills, with demonstrated initiative and outside-the-box thinking.
Previous experience migrating workloads from on-prem to public cloud.
Clear written communication and documentation; a strong collaborator who enjoys brainstorming and cross-team ideation.
Experience working with the Agile/Scrum methodology What will help you on the job
Secrets management at scale (e.g., Vault) across multiple teams or environments.
Production experience running GitOps delivery with Argo CD, beyond basic familiarity.
Experience with policy as code and security tools such as GitHub Advanced Security.
Experience with hybrid cloud connectivity or networking between AWS, Azure, and on-prem/virtualized environments.
Experience guiding teams migrating to Kubernetes.
A track record of proofs-of-concept that were adopted into production use, not just explored.
History of championing new tools or processes org-wide (beyond your own team) through a formal approval/compliance process.

Salary range $121,000.00 - $191,000.00 / annually. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $150,000.00- $225,000.00/ annually At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits. EEO Statement Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here .

Qualifications:

Bachelor's degree in computer science, engineering, or equivalent. 4-5+ years building cloud platform capabilities in AWS or Azure. Strong Terraform skills and experience with at least one CI system. Proficiency in at least one general-purpose programming language (Python, TypeScript, or Go), with\nsolid software engineering fundamentals: version control workflows, code review, and automated\ntesting.

Kubernetes fundamentals:

container build, Helm or Kustomize, deploying to clusters. Cluster operations\nnot required. Familiarity with GitOps delivery patterns (e.g., Argo CD) and integrating secrets management into CI/CD\npipelines.

Cloud networking basics:

CIDR, routing, security groups/NSGs. Working knowledge of PKI and DNS for app delivery. Comfortable on Linux and fluent in at least one scripting language. Daily, hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Claude Code), with a track\nrecord of tailoring your AI workflow through custom skills, plugins, or configurations. Demonstrated curiosity for evaluating new tools and technologies, with experience prototyping or\nrunning small proofs-of-concept to test ideas before proposing them broadly. Comfort working within an organization's tool-approval or compliance process to introduce new\nsoftware, rather than working around it. Excellent cloud infrastructure design and problem-solving skills, with demonstrated initiative and\noutside-the-box thinking. Previous experience migrating workloads from on-prem to public cloud. Clear written communication and documentation; a strong collaborator who enjoys brainstorming and\ncross-team ideation. 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