{"id":2446646,"url":"https://alion.io/job/qualys-staff-database-reliability-engineer","title":"Staff Database Reliability Engineer","company":{"id":18966,"name":"Qualys","domain":"qualys.com","url":"https://alion.io/company/qualys","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Linux","optional":false},{"name":"OpenSearch","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Ansible","optional":true},{"name":"ClickHouse","optional":true},{"name":"GitOps","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-13T13:46:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T18:37:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!\nStaff Database Reliability Engineer (DBRE) - Data Platform\nOpenSearch Must-Have | Distributed Systems | Kafka | Redis | Capacity Engineering | Automation\nLevel\nStaff DBRE (Senior Individual Contributor / Technical Lead)\nDomain\nDistributed Data Platforms\nPrimary Focus\nCross-team architecture and systemic reliability for OpenSearch-centered data platforms, with Kafka, Redis, capacity engineering, and Python automation\nWork Expectations\nU.S. Eastern Time business hours; on-call participation as required\n1. Role Summary\nWe are seeking an experienced Staff DBRE with deep OpenSearch/Elasticsearch expertise and strong distributed-systems judgment. The role leads high-impact architecture, reliability, performance, scalability, capacity, and lifecycle improvements across major data-platform services, complemented by Kafka, Redis, Linux, observability, and Python automation.\nThe Staff DBRE solves ambiguous cross-team problems, establishes reusable platform patterns, mentors senior engineers, and influences multiple engineering groups. The scope extends beyond a single cluster or incident while remaining hands-on and evidence-driven.\n2. Level Scope and Leadership Expectations\nStaff DBRE is a senior individual-contributor technical leadership role focused on solving ambiguous, high-impact reliability and architecture problems across platforms and teams. The role has broad influence within the data-platform domain, while enterprise-wide cross-domain strategy remains a Principal-level responsibility.\nDimension\nExpectation at This Level\nScope of Ownership\nOwns complex cross-team reliability, scalability, performance, capacity, architecture, and operational-maturity problems across major OpenSearch-centered platform services.\nTechnical Depth\nServes as a domain authority in OpenSearch and distributed-systems failure modes, with strong supporting depth in Kafka, Redis, JVM, Linux, storage, and networking.\nEngineering Leadership\nDefines platform-domain patterns, mentors Senior and Lead engineers, raises design-review and incident-analysis rigor, and influences adjacent teams.\nAutomation Architecture\nDesigns reusable Python automation, observability, validation, and lifecycle-management patterns rather than isolated scripts.\nExecution\nDrives ambiguous initiatives from problem framing through design, alignment, implementation guidance, and measurable outcomes.\nOrganizational Influence\nInfluences multiple engineering groups through data, production evidence, design standards, and technical judgment; does not unilaterally set enterprise strategy.\n3. Key Responsibilities\nA. OpenSearch Platform Architecture\nDesign and improve large-scale OpenSearch/Elasticsearch topology, dedicated node roles, shard and index strategies, lifecycle management, workload distribution, and recovery patterns.\nSolve complex indexing, search, cluster-state, JVM/GC, storage, segment, mapping, allocation, and cross-cluster reliability problems.\nEstablish domain-level resilience, snapshot, replication, upgrade, and capacity patterns appropriate to the actual scale of the environment.\nB. Kafka and Redis Reliability\nGuide Kafka topology, partitioning, replication, capacity, consumer reliability, and failure-mode remediation for critical services.\nGuide Redis Cluster and Sentinel architecture, memory and eviction behavior, persistence tradeoffs, failover, re-sharding, and client reliability.\nC. Automation, Observability, and Capacity Engineering\nArchitect reusable Python tooling and safe remediation frameworks for provisioning, validation, maintenance, scaling, and incident prevention.\nDefine domain-level observability, SLIs/SLOs, capacity models, lifecycle forecasts, and actionable risk thresholds.\nEstablish Infrastructure-as-Code and operator patterns where they improve repeatability and supportability.\nD. Technical Strategy and Cross-Team Leadership\nLead architecture and production-readiness reviews for the data-platform domain.\nEvaluate emerging technologies through workload-relevant benchmarks, failure testing, operability reviews, and total-cost considerations.\nLead complex technical investigations and systemic corrective actions; mentor engineers and improve engineering practices across teams.\n4. Required Qualifications and Experience\n8+ years of DBRE, SRE, database, or distributed data-platform engineering experience with Staff, Lead, or comparable technical leadership scope.\nDeep hands-on mastery of OpenSearch and/or Elasticsearch internals, operations, performance, lifecycle management, recovery, and architecture.\nStrong production experience with Kafka and/or Redis, with the ability to reason across distributed data-platform failure modes.\nStrong systems expertise across JVM, Linux, CPU, memory, storage I/O, networking, and capacity behavior.\nStrong Python software-engineering capability for reusable production automation and tooling.\nDemonstrated success solving ambiguous cross-team technical problems and influencing architecture through evidence and judgment.\nStrong incident leadership, written communication, mentoring, and design-review skills.\n5. Preferred Qualifications\nExperience with both Kafka and Redis at meaningful production scale.\nKubernetes operators, Terraform, Ansible, GitOps, and cloud-managed data services.\nExperience evaluating ClickHouse, Pinot, vector databases, or stream-processing technologies.\nExperience with chaos testing, production-readiness reviews, and cost-aware capacity engineering.\n6. Expected Outcomes in the First 6-12 Months\nEstablish measurable reliability, capacity, lifecycle, and operational-maturity baselines for critical data-platform services and lead material improvements.\nDeliver reusable automation and observability patterns that reduce systemic toil and improve safe execution across teams.\nPublish and drive adoption of domain-level architecture, production-readiness, capacity, and resilience standards.\nResolve one or more high-impact systemic risks and develop a prioritized multi-quarter improvement roadmap for the data-platform domain.\n7. What This Role Does Not Include\nThis is not a people-management role unless separately assigned; leadership is exercised through technical influence and mentorship.\nThis is not a coordination-only role; the Staff DBRE must remain hands-on and capable of deep technical investigation.\nThis role does not replace ownership held by application, SRE, infrastructure, network, storage, or cloud teams.\nThis is not a ticket-queue role limited to incident response and routine operations; systemic improvement is expected.\nThis role does not unilaterally define enterprise-wide cross-domain architecture or approval policy; that scope belongs to Principal-level and executive governance.\n8. Work Expectations and Location\nThis role requires working during U.S. Eastern Time (ET) business hours and participating in on-call support as required.","description_format":"text","description_chars":7006,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Security","Security Compliance","Vulnerability Management"],"lifecycle":[{"event":"open","at":"2026-10-13T13:46:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":59,"reasons":["conf:5","win:early","comp:brand"],"computed_at":"2026-10-13T23:41:44Z"},"pay":null,"html_url":"https://alion.io/job/qualys-staff-database-reliability-engineer","json_url":"https://alion.io/job/qualys-staff-database-reliability-engineer.json","meta":{"generated_at":"2026-10-13T23:41:44Z","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":36110,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":18966},"rest":"https://alion.io/mcp/rest/get_company?id=18966"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqualys-staff-database-reliability-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%2Fqualys-staff-database-reliability-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%2Fqualys-staff-database-reliability-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/qualys-staff-database-reliability-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualys-staff-database-reliability-engineer"}]}