{"id":584935,"url":"https://alion.io/job/clearstreet-dev-senior-production-engineer","title":"Site Reliability Engineer (SRE)","company":{"id":326786,"name":"Clear Street","domain":"clearstreet.io","url":"https://alion.io/company/clearstreet","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":9,"ghost_share":0,"stale_share":0.778,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-26T05:57:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"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":75000,"max_usd":168000,"period":"year","method":"role_country_seniority_unknown","sample_n":215},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Self-Healing","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"AWS","optional":true},{"name":"gRPC","optional":true}],"status":"live","first_seen_at":"2026-09-08T15:22:25Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-26T09:20:14Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":47},"description":"About Clear Street:\n\nClear Street’s mission is to give every sophisticated investor access to every asset, in every market, through a unified platform built for speed, transparency and scale.\nWe give our clients the technology, tools, and service once reserved for the largest institutions, rebuilt with modern infrastructure. Our single, cloud-native, end-to-end capital markets platform powers investor growth today and is transforming how they can interact with markets tomorrow.\nFor more information, visit https://clearstreet.io.\nThe Role\nAs a Site Reliability Engineer (SRE) you sit at the intersection of software reliability and operational excellence. You own the health, resilience, and recovery of our production systems-while spending equal energy innovating solutions that eliminate human toil, reduce incident blast radius, and raise the reliability bar across the entire platform. You will partner closely with engineering, operations, and business teams to understand daily pain points and translate them into lasting automated solutions. Half your time is spent in the trenches-supporting production, responding to incidents, and deeply understanding how our\nsystems behave under real conditions. The other half is yours to build: automation, tooling, and observability platforms that make tomorrow's on-call shift meaningfully easier than today's. \nYou will work on challenges like:\nDesign and build comprehensive monitoring and observability platforms that surface the right signal at the right time-eliminating alert fatigue and accelerating root-cause analysis.\nDevelop intelligent automation and self-healing capabilities that diagnose issues, trigger recovery workflows, and reduce mean time to recovery (MTTR) without manual intervention.\nAnalyze incidents, identify systemic trends, and engineer solutions that prevent entire classes of failures from recurring.\nBuild reusable runbooks, diagnostic tooling, and recovery playbooks that turn tribal knowledge into scalable platform capabilities.\nCreate golden-path operational workflows-making the safest, most reliable path also the easiest one for engineering teams to follow.\nPartner with Platform Engineering to influence CI/CD pipelines, deployment safety, and infrastructure resilience from a production reliability perspective.\nChampion Infrastructure as Code, GitOps, and SRE best practices while helping teams adopt modern engineering workflows.\nContinuously measure production health through SLIs/SLOs/SLAs, and drive engineering priorities based on reliability data.\nExplore emerging technologies-including AI-assisted diagnostics and developer tooling-that transform how we operate production systems.\nThe Team\nWe believe resilient systems are built by engineers who understand them end to end. Our Production Engineering team is the first and last line of defense for our production platform. We treat reliability as a product, with uptime and engineer experience as our north stars. We combine the discipline of SRE with a builder's mindset: when we see a recurring problem, we build a solution-not a workaround.\nYou will work across every engineering and operations team to understand failure modes, quantify reliability gaps, and build platform capabilities that scale with the organization. Whether it's reducing MTTR from hours to minutes, building self-service diagnostic tools, or designing proactive alerting that catches issues before customers notice, your work will have immediate, measurable impact.\nIf you're passionate about making production systems invisible to end users-and you get energy from both firefighting and building the systems that make fires less likely-you'll thrive here.\nWhat We're Looking For\nWe're looking for engineers who combine operational instinct with a builder's discipline.\nYou should have:\nStrong hands-on Python skills-this is your primary language for automation and tooling.\nExperience in SRE, Production Engineering, Platform Engineering, or a related discipline with direct production ownership.\nProven track record of building automation and diagnostic tooling that improved recovery times or reduced operational toil.\nDeep familiarity with cloud-native technologies-Kubernetes, containers, distributed systems-and how they fail in production.\nExperience with observability platforms such as Datadog, and a strong intuition for what \"good\" monitoring looks like.\nExposure to Infrastructure as Code (Terraform) and GitOps-based deployment workflows (ArgoCD, GitHub Actions, or similar).\nFamiliarity with the broader technology stack: Java, Go, Kafka, Redis, Snowflake, and Postgres.\nStrong analytical and problem-solving skills-you thrive on ambiguous, high-stakes production problems.\nA product mindset applied to operational tooling: you think about usability, adoption, and documentation when building internal solutions.\nExcellent communication skills and the ability to work fluidly across engineering, operations, and business stakeholders.\nSelf-starter mentality-you identify opportunities, take initiative, and deliver with minimal supervision.\nCuriosity and a continuous learning mindset; fintech or financial industry background is a plus.\nThe Technology You'll Work With\nYou'll operate and build on a modern cloud-native platform that includes:\nKubernetes & AWS\nTerraform & ArgoCD\nGitHub Actions\nKafka, Redis\nPostgreSQL & Snowflake\nDatadog\nPython, Go, Java\ngRPC & Protobuf\nInternal Platform APIs and Developer Tooling\nWhat Success Looks Like\nWithin your first year, you'll have made a measurable impact on production reliability. Success looks like:\nReducing mean time to detection (MTTD) and mean time to recovery (MTTR) across key production systems.\nBuilding automation that handles a meaningful percentage of incident scenarios without human intervention.\nBecoming a trusted subject matter expert for core platform components and their failure modes.\nDelivering observability and diagnostic tools that other engineers actually use and depend on.\nEstablishing SLO baselines and driving engineering investment based on reliability data.\nSpending less of your time-and your teammates time-on repetitive manual toil.\nYour impact won't be measured by the number of incidents you respond to-it will be measured by how reliably our systems run and how quickly we recover when they don't.","description_format":"text","description_chars":6333,"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":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Stock Exchanges & Market Infrastructure","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-09-10T02:36:53Z"},{"event":"close","at":"2026-10-20T16:12:01Z"},{"event":"reopen","at":"2026-10-21T18:27:18Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-24T06:24:00+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.711,"p_room":0.55,"age_days":47,"expected_fill_days":46,"reasons":["conf:0","velocity","win:tail"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/clearstreet-dev-senior-production-engineer","json_url":"https://alion.io/job/clearstreet-dev-senior-production-engineer.json","meta":{"generated_at":"2026-10-26T11:08:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14979,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":326786},"rest":"https://alion.io/mcp/rest/get_company?id=326786"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fclearstreet-dev-senior-production-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fclearstreet-dev-senior-production-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fclearstreet-dev-senior-production-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/clearstreet-dev-senior-production-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fclearstreet-dev-senior-production-engineer"}]}