layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Cloud Engineer at Viasat | LAYIQ

The Global IT Transformation team drives innovation and transformation in how Viasat engineers build and deliver our diverse portfolio of products. As a Cloud Platform Engineer, you won't just maintain the platform; you'll help reinvent it. You'll work closely with other technical disciplines to design, develop, and deliver automation and reusable cloud solutions that let teams at Viasat scale quickly and operate securely and efficiently.
We're looking for someone who brings real software engineering rigor to infrastructure work, is fluent with modern AI-assisted development tools and constantly sharpens that workflow, and spends real time looking ahead, anticipating the problems our operations teams will face in 6-12 months and prototyping solutions before we need them.
The ideal candidate brings a solid cloud engineering foundation, strong software engineering instincts, genuine initiative, and the curiosity to explore new tools, technologies, and ways of working, along with the judgment to bring promising ideas through our approval process rather than around.
This is a site‑based role, employees work 3+ days (60%+) per week from a Viasat office or work location within a standard five‑day workweek.
US Citizenship required
The day-to-day
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.

Responsibilities

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.

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 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.

Cloud Engineer

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