{"id":99886,"url":"https://alion.io/job/servicetitan-staff-site-reliability-engineer-2","title":"Staff Site Reliability Engineer","company":{"id":3360,"name":"ServiceTitan","domain":"servicetitan.com","url":"https://alion.io/company/servicetitan","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":12,"ghost_share":0,"stale_share":0.417,"repost_share":0.083,"time_to_fill_p50_days":34,"computed_at":"2026-10-30T05:48:23Z"}},"role":"DevOps","role_family":"DevOps","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":64000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"GitHub Actions","optional":true},{"name":"TeamCity","optional":true}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-30T05:17:57Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":94},"description":"Ready to be a Titan?\nThe Staff Site Reliability Engineer will be a key player in managing, optimizing, and ensuring the reliability and scalability of our SQL Server and PostgreSQL databases both in the cloud and on-premises. The ideal candidate will have extensive experience with Azure and AWS platforms, with a strong preference for Azure expertise. You will work closely with our development and operations teams to drive improvements in database performance, automate processes, and implement robust backup and recovery procedures.\nWhat you'll do:\nOwn the architecture, design, deployment, and lifecycle management of SQL Server and PostgreSQL databases across Azure, AWS, and on-prem environments.\nLead database design reviews, schema governance, indexing strategy, and query optimization to ensure performance and scalability.\nManage database security, including access controls, encryption (at rest and in transit), auditing, and compliance best practices.\nDesign and maintain high availability (HA) and disaster recovery (DR) architectures (Always On, replication, failover clusters, logical/physical replication, etc.), defining and enforcing RTO/RPO objectives.\nImplement and manage backup strategies, validation testing, and recovery procedures.\nPerform proactive database performance tuning, capacity planning, and workload optimization for mission-critical systems.\nOwn patching, upgrades, migrations (cloud/on-prem), and version lifecycle management.\nDevelop automation for DBA operations (provisioning, patching, backups, health checks, failover testing) using scripting (PowerShell, Bash, Python) and Infrastructure as Code.\nCollaborate with engineering teams to optimize data models, troubleshoot production incidents, and resolve performance bottlenecks.\nEstablish database monitoring standards and implement observability solutions using tools such as Datadog, Grafana, ELK, and Prometheus.\nParticipate in incident response, root cause analysis (RCA), and postmortem improvements related to database systems.\nContribute to CI/CD processes for database deployments, schema changes, and migration pipelines.\nDefine and document database operational standards, runbooks, and best practices.\nWhat you'll bring:\n8+ years of database engineering/administration experience, including demonstrated ownership of platform-level database strategy and reliability across multiple teams or business-critical systems.\nDeep expertise in: Performance tuning (query plans, indexing strategies, locking/blocking analysis, deadlock resolution): High availability and disaster recovery configurations; Backup/restore strategies and validation; Database security and hardening\nStrong experience operating databases in Azure and AWS, including managed services (Azure SQL, RDS, etc.) and self-managed deployments.\nProven experience with database migrations (on-prem to cloud, version upgrades, cross-platform migrations).\nStrong scripting skills (PowerShell, Bash, Python) to automate DBA workflows.\nExperience implementing monitoring, alerting, and observability for database systems.\nSolid understanding of reliability engineering principles (SLIs/SLOs) as they apply to database systems.\nExperience with Infrastructure as Code and containerized database environments (Kubernetes, Docker) is a plus.\nFamiliarity with CI/CD pipelines for database schema deployments (GitHub Actions, Azure DevOps, TeamCity, etc.).\nStrong troubleshooting skills, attention to detail, and ability to manage high-impact production systems.\nBe Human With Us:\nBeing human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. \nUse of AI Technology:\nWe use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.\nAt ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. 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