{"id":1297447,"url":"https://alion.io/job/outerlimit-data-platform-sre","title":"Data Platform SRE","company":{"id":3799759,"name":"Outerlimit","domain":"outerlimit.com","url":"https://alion.io/company/outerlimit","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":163000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"SOC 2","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Apache Kafka","optional":true},{"name":"BigQuery","optional":true},{"name":"Databricks","optional":true},{"name":"Google BigQuery","optional":true},{"name":"ISO 27001","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-01T00:00:00Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-09-28T13:28:27Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Outerlimit is looking for a Senior Site Reliability Engineer to embed within our Data Engineering team. You'll own the reliability, performance, and operability of the data platform - the pipelines, orchestration, storage, and streaming systems that the wider business depends on for analytics, reporting, and product features. This is a hands-on engineering role: you'll write infrastructure-as-code, build observability into data systems from the ground up, lead incident response for data platform outages, and work directly with data engineers to raise the reliability bar on everything they ship.\nYou'll act as the reliability voice inside the Data Engineering team - not a separate, siloed SRE function - balancing feature velocity against system stability, and bringing SRE practice (SLOs, error budgets, blameless post-mortems, capacity planning) to a team that has historically optimised for delivery speed.\nKey Responsibilities\nDefine and maintain SLIs/SLOs for critical data pipelines, warehouses, and streaming systems, and use error budgets to guide the pace of change.\nDesign, build, and maintain the infrastructure that underpins the data platform (compute, storage, orchestration, networking) using infrastructure-as-code primarily focussed in Microsoft Azure.\nBuild and improve observability for data systems - metrics, logging, tracing, and data-quality/freshness monitoring - so issues are caught before they reach downstream consumers.\nLead incident response for data platform issues: triage, coordinate, drive root cause analysis, and run blameless post-mortems that result in durable fixes.\nOwn on-call rotation design and participate in on-call for the data platform, working to reduce toil and alert noise over time.\nPartner with data engineers on pipeline design reviews, capacity planning, and cost/performance trade-offs, embedding reliability practices into their day-to-day workflow rather than gatekeeping after the fact.\nAutomate manual operational work - deployments, scaling, failover, data backfills, recovery procedures - to reduce repetitive load on the team.\nDrive disaster recovery and business continuity planning for data systems, including backup strategy, failover testing, and documented runbooks.\nContribute to the broader platform/infrastructure SRE community at Outerlimit, sharing tooling and practices across teams.\nSupport compliance and audit requirements (e.g. SOC 2, data governance) as they relate to data platform reliability, access control, and change management.\nNice to have\nExperience with a cloud data warehouse (Databricks, BigQuery, or Redshift) at scale.\nExperience operating streaming systems (Kafka, Azure Event Hubs, or similar) in production.\nGood understanding of Python with the ability to read/debug Pyspark jobs and configure tooling.\nPrior experience formally introducing SRE practices to a team that didn't previously have them.\nRelevant compliance/security exposure (SOC 2, ISO 27001, or similar frameworks).\nWhat we offer\nHybrid working - London office, 2+ days per week, with flexibility around core hours.\nA genuine seat at the table shaping how the Data Engineering team builds and operates its platform, not a bolt-on ops function.\nInvestment in tooling, training, and conference attendance to keep your SRE practice current.\nThe standard Outerlimit benefits package (details shared during the interview process).","description_format":"text","description_chars":3392,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Agents","Cybersecurity AI"],"lifecycle":[{"event":"open","at":"2026-09-26T10:11:14Z"}],"liveness":{"score":71,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.785,"p_room":0.9,"age_days":27,"expected_fill_days":42,"reasons":["conf:7","velocity","win:mid"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/outerlimit-data-platform-sre","json_url":"https://alion.io/job/outerlimit-data-platform-sre.json","meta":{"generated_at":"2026-09-29T00:27:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":337,"day_limit":5000,"remaining_today":4663,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}