{"id":2013890,"url":"https://alion.io/job/pinterest-staff-software-engineer-capacity-engineering-2","title":"Staff Software Engineer (Capacity Engineering)","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":"Backend","role_family":"Backend","seniority":"staff","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":177185,"max":364795,"currency":"USD","period":"year","gross":null,"usd_annual":364795},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-25T00:15:37Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T23:33:47Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Join Pinterest as a Staff Software Engineer in Capacity Engineering. You will be responsible for managing one of the largest-scale cloud-native infrastructures in the world, improving efficiency and performance of large-scale distributed systems. You will collaborate with Infrastructure Engineering and SRE teams, leverage AI to scale impact, and have direct visibility across Pinterest Engineering and leadership. Candidates should have a strong background in performance and efficiency projects on large-scale distributed systems, experience with Kubernetes, and proficiency in software development languages such as Java, Python, and C++.\nMissions\nAméliorer l'efficacité des environnements partagés à grande échelle, tels que Kubernetes, et des systèmes distribués.\nCollaborer avec les équipes d'ingénierie des infrastructures et SRE pour fournir des bases hautement disponibles, résilientes, sécurisées et efficaces.\nUtiliser l'IA pour augmenter l'impact de l'équipe, y compris l'accélération des enquêtes sur les performances et la construction d'outils d'auto-service.\nProfil recherché\n - High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables- Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges\n- Excellent skills in communicating complex technical issues\n- Experience leading efficiency initiatives at scale on Kubernetes or other large scale shared infrastructure\n- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs\n- Deep understanding of infrastructure capacity and performance\n- Bachelor’s degree in computer science, a related field or equivalent experience\n- Proficiency in software development languages such as Java, Python and C++\n- Experience with AWS or similar cloud environments\n- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)\n- Experience building and managing highly available distributed applications at scale\n- Hands-on experience with large, cloud-native multi-tenant platforms at Internet 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