{"id":2014048,"url":"https://alion.io/job/pinterest-site-reliability-engineer-tvscientific","title":"Site Reliability Engineer (tvScientific)","company":{"id":450230,"name":"Pinterest","domain":"pinterest.co.uk","url":"https://alion.io/company/pinterest-5","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-12T06:55:09Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":114297,"max":235319,"currency":"USD","period":"year","gross":null,"usd_annual":235319},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Terragrunt","optional":false}],"status":"closed","first_seen_at":"2026-06-25T00:13:27Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T01:51:46Z","board_verified":false,"closed_at":"2026-10-11T01:51:46Z","days_open":108,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":107},"description":"Join TvScientific, the first CTV advertising platform designed for performance marketers. As a Site Reliability Engineer, you will help operate, scale, and continuously improve our cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps workflows. Your responsibilities will include ensuring the reliability and performance of production infrastructure, managing GitOps-based deployment workflows, supporting infrastructure provisioning, and participating in incident response. The ideal candidate will have 4+ years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure, and strong expertise in Kubernetes and AWS.\nMissions\nContribuer à l'amélioration de la fiabilité, de l'évolutivité, de l'automatisation, de l'observabilité et de la maturité opérationnelle de l'infrastructure et de l'écosystème de livraison.\nAssurer la fiabilité, la disponibilité et la performance de l'infrastructure de production et des services de la plateforme, y compris l'exploitation et l'évolutivité des plateformes Kubernetes.\nParticiper à la réponse aux incidents, à l'analyse des causes profondes et aux initiatives d'amélioration post-incident, tout en réduisant le travail opérationnel grâce à l'automatisation.\nProfil recherché\n - The ideal candidate is a hands-on engineer with solid production experience and a strong foundation in building and supporting resilient platforms using infrastructure as code, automation, and modern Kubernetes operational practices- Solid scripting and automation skills using Bash and/or Python\n- Experience with Terraform/Terragrunt for infrastructure provisioning and environment management\n- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs\n- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables\n- Strong hands-on experience with Helm\n- Experience with monitoring, alerting, and observability in production environments\n- Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems\n- Demonstrated ownership mindset with experience handling incidents and resolving production issues\n- 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure\n- Good expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration\n- Strong collaboration and communication skills, with the ability to work effectively across engineering, security, and platform teams\n- Experience implementing and operating ArgoCD within a GitOps delivery model\n- Experience with Kubernetes multi-tenancy, including namespaces, RBAC, quotas, policies, and tenant isolation patterns\n- Experience building, maintaining, or supporting CI/CD pipelines, ideally using GitHub Actions\n- Bachelor’s degree in computer science, engineering, a related field or equivalent experience\n- Strong hands-on experience operating AWS in production environments\n- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer 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