{"id":83774,"url":"https://alion.io/job/sumo-logic-staff-site-reliability-engineer-2","title":"Staff Software Engineer","company":{"id":2359,"name":"Sumo Logic","domain":"sumologic.com","url":"https://alion.io/company/sumo-logic","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":128,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":70000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Scala","optional":false},{"name":"Sumo Logic","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"FinOps","optional":true},{"name":"Kubernetes","optional":true},{"name":"SIEM","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-02-10T10:44:45Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-16T09:01:41Z","board_verified":true,"closed_at":null,"days_open":248,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":247},"description":"Title: Staff Site Reliability Engineer, Cloud Cost & Engineering Efficiency Location: Noida/ Bangalore (Hybrid)\nSummary of role\nSumo Logic's microservices architecture, hosted on AWS, ingests petabytes of data daily across many geographic regions in support of our planet-scale observability and security products, serving hundreds of millions of queries a day against thousands of petabytes of data. At that scale, every inefficiency - in code, architecture, or infrastructure - compounds into real cost.\nThis role sits within the Product SRE organization, working alongside your global SRE team on your product area's reliability roadmap - with a mandate that leads with code as much as operations. You'll find where Sumo's systems are spending more compute, storage, or engineering time than necessary, and fix it in the code and architecture, not just the infra config, while also carrying the fuller SRE mandate - reliability, security posture, and improving the day-to-day experience of the engineers within your product area. You'll be part of a team that blends SRE and backend software engineering skillsets, partnering closely with product engineering teams across your product area.\nThis is an engineering role - the work is about shipping code, architecture, and system-level changes that improve unit economics, not managing cost dashboards, tagging, or reserved-instance/savings-plan purchasing.\nWhat you’ll do\nContinuously discover cost and efficiency opportunities through production profiling, telemetry, cost data, capacity trends, and system-level analysis - across algorithmic inefficiencies, resource-heavy code paths, and architectural decisions - and turn ambiguous problems into prioritized engineering initiatives.\nApply performance and capacity engineering techniques to understand CPU, memory, storage, network, and I/O behavior under real production workloads, and optimize the resulting resource footprint.\nWrite production-grade code to implement the optimizations you identify - JVM/GC tuning, algorithmic and resource-efficiency improvements, re-architecting inefficient services - in systems that process petabytes of data daily.\nDefine and track engineering efficiency metrics such as cost per GB ingested, cost per query, cost per event, resource utilization, or cost per customer workload, and translate the work into measurable impact for engineering and business stakeholders.\nLead complex, cross-team engineering initiatives from problem discovery through design, implementation, rollout, and measurement - influencing teams where you don't have direct ownership - and help establish engineering patterns and practices that make cost and efficiency a continuous part of the development lifecycle.\nPartner with engineering teams in your product area to prioritize changes, and with developer infrastructure and Global SRE to align with the broader reliability roadmap.\nParticipate in the SRE responsibilities for different product areas - SLOs, on-call, incident response, and blameless RCA - using those experiences to identify systemic reliability, performance, and efficiency improvements.\nWhat you’ll have\nB.Tech, M.Tech, or equivalent degree in Computer Science or a related discipline.\n8+ years of industry experience with a demonstrated track record of ownership.\nStrong CS fundamentals - comfortable with algorithmic complexity, data-structure performance characteristics, and system design at scale.\nAbility to author production-ready code in at least one OO/systems language (Java, Scala, Go, C++, or similar) - depth of engineering ability matters more than which language.\nExperience with distributed systems and microservice architectures in production.\nDemonstrated track record of independently identifying ambiguous performance, scalability, or cost problems and driving engineering changes that produced measurable improvements in production.\nStrong ability to reason quantitatively about system behavior, capacity, performance, and cost, and use production data to validate hypotheses and measure outcomes.\nWorking fluency with cloud infrastructure (AWS compute, storage, networking) - enough to reason about cost and architectural tradeoffs.\nComfort moving across the stack, from application code to the infrastructure it runs on, to find root causes of inefficiency.\nNice to have\nJVM tuning and GC optimization experience at scale.\nExposure to cost-attribution/FinOps practices or tooling.\nExperience with Kubernetes, Terraform, or modern CI/CD tooling.\nPrior SRE experience - on-call, SLOs, incident response.\nExperience with streaming technologies (Kafka, Kafka Streams) or observability/security platforms.\nWhy this role\nVisibility - Cost/efficiency work maps directly to metrics the business already tracks.\nScope you define - you identify where the opportunities are rather than executing a fixed backlog.\nReal scale - systems ingesting petabytes of data daily and serving hundreds of millions of queries.\nAbout Us\nSumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness-combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.\nSumo Logic Privacy Policy. 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