{"id":1869944,"url":"https://alion.io/job/people-in-ai-staff-devops-engineer","title":"Staff DevOps Engineer","company":{"id":3862080,"name":"People In AI","domain":"peopleinai.com","url":"https://alion.io/company/people-in-ai","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":14,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Jenkins","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Terraform","optional":false},{"name":"Terragrunt","optional":false},{"name":"Bash","optional":true},{"name":"Chef","optional":true},{"name":"Datadog","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"Vercel","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T19:13:26Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Staff DevOps Engineer\n[Build the next generation of an AWS platform while modernizing a mission-critical estate]\nCompensation: Up to $200K base + bonus in the US\nLocation: Remote - US or Canada\nThe Company\nPeople in AI is partnering with an established global SaaS business hiring a Staff DevOps Engineer into its infrastructure organization.\nThe business operates a large-scale AWS platform used by customers around the world and is currently running two infrastructure worlds in parallel: a mature, business-critical AWS estate and a modern platform built around containers, EKS, GitOps and infrastructure-as-code.\nThis creates a genuinely interesting engineering problem: keep an established platform secure and reliable while helping design and build what replaces it.\nThe Opportunity\nThis is a senior individual-contributor role for an engineer who enjoys building, not simply operating systems designed by somebody else.\nYou’ll work across both mature infrastructure and modern cloud-native projects, with significant scope to influence architecture, automation, developer tooling and the ongoing modernization of the platform.\nThe team is specifically looking for someone who can take an ambiguous infrastructure problem, design the solution and then remain hands-on through implementation.\nThe Role\nYou’ll operate at Staff level across AWS infrastructure, reliability, platform engineering and DevOps architecture.\nThe environment combines long-running EC2/Linux infrastructure with newer services running on EKS, giving you the chance to work on both complex modernization projects and greenfield platform development.\nWhat You’ll Do\nArchitect and build scalable, secure and highly available infrastructure on AWS.\n\nDesign and implement new platform capabilities for services running on EKS.\n\nModernize existing EC2/Linux infrastructure and help containerize legacy workloads over time.\n\nBuild and improve Terraform/Terragrunt modules, automation and internal infrastructure tooling.\n\nImprove CI/CD and deployment workflows across Jenkins, GitHub Actions and GitOps-based environments.\n\nTroubleshoot complex production issues, contribute to RCA and implement long-term preventative fixes.\n\nWork closely with software engineers and other infrastructure specialists on architecture, security, reliability and scalability.\n\nWhat You’ll Bring\n7+ years of hands-on experience across DevOps, SRE, Cloud Infrastructure or Platform Engineering.\n\nDeep and recent experience with AWS and Terraform in production environments.\n\nStrong Linux, EC2, networking, security and troubleshooting fundamentals.\n\nEvidence that you have personally designed and built infrastructure or platforms from scratch.\n\nExperience with CI/CD tooling such as Jenkins and GitHub Actions.\n\nStrong communication skills and the ability to explain technical decisions, trade-offs and failures in detail.\n\nWhat This Role Requires\nYou should be comfortable working with both modern cloud-native infrastructure and older production systems.\n\nYou need to be someone who creates patterns and solutions rather than simply follows existing runbooks.\n\nYou should enjoy technical ownership and solving infrastructure problems without a predefined playbook.\n\nYou must be comfortable participating in an on-call environment and working through complex production incidents.\n\nTech Stack\nAWS, EC2, EKS, Linux, Terraform, Terragrunt, Chef, Jenkins, GitHub Actions, GitOps, Bash, Python, MongoDB, Postgres, Datadog, Prometheus and Vercel.\nWhy Join\nWork on genuine infrastructure modernization rather than a superficial “cloud transformation.”\n\nCombine greenfield platform engineering with technically challenging production systems.\n\nTake Staff-level ownership while remaining deeply hands-on.\n\nInfluence architecture and tooling used across the broader engineering organization.\n\nAbout People in AI\nPeople in AI is a specialist search firm focused on AI, software engineering, infrastructure and data. 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