{"id":3251598,"url":"https://alion.io/job/campbell-global-senior-manager-of-sre-python-aws-databricks-or-snowflake","title":"Senior Manager of SRE-Python, AWS, Databricks, or Snowflake","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":93,"open_postings":120,"ghost_share":0.1,"stale_share":0.167,"repost_share":0.15,"time_to_fill_p50_days":4,"computed_at":"2026-10-27T05:46:45Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Glasgow, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":124000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":61},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Incident Management","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-07-23T10:10:58Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-27T14:22:45Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":95},"description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\nThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.\nAs a Senior Manager - SRE at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team, you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. 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procedures, including root cause analysis and postmortem documentation.\nRequired Qualifications, Capabilities, and Skills:\nExperience with formal training or certification on software engineering concepts.\nStrong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management.\nAbility to manage highly technical team of Site Reliability Engineers.\nExperience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity.\nAbility to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes.\nExtensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST.\nExperience with monitoring tools, automation frameworks, and CI/CD 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