{"id":2328585,"url":"https://alion.io/job/famapp-senior-database-administrator","title":"Senior Database Administrator","company":{"id":2627,"name":"FamApp","domain":"famapp.in","url":"https://alion.io/company/fam","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"C","score":68,"open_postings":15,"ghost_share":0.533,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"Cassandra","optional":false},{"name":"CloudFormation","optional":false},{"name":"Datadog","optional":false},{"name":"DynamoDB","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"ISO 27001","optional":false},{"name":"PCI DSS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"StarRocks","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false},{"name":"Alembic","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"CI/CD","optional":true},{"name":"Delta Lake","optional":true},{"name":"Flyway","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Liquibase","optional":true},{"name":"Metabase","optional":true},{"name":"Power BI","optional":true},{"name":"Superset","optional":true}],"status":"live","first_seen_at":"2026-10-12T06:48:59Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T09:14:10Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"About this Role:\nWe are looking for a Senior DBA with 5-8 years of experience running mission-critical databases across relational , NoSQL, key-value and analytical engines, in both on-premise and managed cloud (AWS) setups. You will own uptime, performance, scaling, DR and audit readiness for the data stores behind a regulated UPI/fintech platform serving millions of users. The role sits between Engineering, Data, Security and Compliance: you decide how our databases are designed, run, recovered and paid for.\n\nOn the Job\nUptime & Reliability: Own availability SLOs for production databases. Lead incident response and RCAs for DB-related outages, and drive fixes to closure.\nOn-call Support: Participate in the 24x7 database on-call rotation, including off-hours and weekend cover. Act as the escalation point for DB incidents raised by SRE and engineering teams, keep runbooks and alert thresholds current, and cut alert noise so pages are actionable.\n Performance & Scaling: Profile production workloads (slow query logs, pg_stat_statements, Performance Schema, DynamoDB/Cassandra metrics) and act on them: indexing, query rewrites, partitioning, connection pooling, read replicas, sharding, capacity changes.\nWorkload Analysis & Decisions: Separate OLTP and analytical access patterns, push back on schemas or queries that will not scale, and make evidence-backed calls on engine choice, instance class and topology.\nDR & Multi-Zone Replication: Design and test backup, PITR, cross-AZ and cross-region replication. Plan and execute periodic DR drills with documented RTO/RPO results.\nAudit & Compliance: Own database controls for RBI, NPCI, ISO 27001, PCI DSS and third-party audits: access reviews, encryption at rest and in transit, audit logging, data retention, data localisation evidence. Be the point person for auditor walkthroughs.\nCost Optimisation: Right-size instances, reserved capacity and storage tiers; tune DynamoDB capacity modes; retire unused replicas and snapshots. Report spend against usage.\n CDC Operations: Operate and tune CDC pipelines (Debezium, Kafka Connect, AWS DMS): replication slots, binlog/WAL retention, schema changes, lag and replay.\nObject Storage & Lifecycle: Manage S3 buckets used for backups, archives and the lakehouse. Analyse access patterns and set lifecycle, tiering and retention policies.\nDistributed Query Engines: Operate and tune MPP engines such as Trino, StarBurst, StarRocks, BigQuery: cluster sizing, resource groups, caching, query governance.\nDesign Standards: Define and enforce standards for schema design, naming, indexing, migrations, access roles and PII handling. Review schema changes before they reach production.\nMaintenance & Security Upgrades: Own version upgrades, patching, parameter changes and certificate rotation with zero or planned-minimal downtime.\nLaunch Readiness: Prepare database infrastructure for new product rollouts: capacity plans, load tests, migration runbooks, rollback paths.\n Collaboration: Work with backend, data, SRE, security and non-technical stakeholders (compliance, finance, product) and translate DB risk into decisions they can act on.\nMust Haves\n5-8 years in database administration or database reliability engineering, with at least 3 years on high-traffic, customer-facing production systems.\nDeep production expertise in PostgreSQL or PostgresSQL Based, including replication internals, vacuum/InnoDB tuning, and upgrades on both self-managed and RDS/Aurora.\nProduction experience with at least two of: DynamoDB, Cassandra, MongoDB, Redis.\nProven record of DR drills, multi-AZ/multi-region replication and restoring from backup under pressure.\nDirect involvement in regulatory or third-party audits (RBI, ISO 27001, PCI DSS, SOC 2 or equivalent), including producing evidence and closing findings.\nHands-on database cost optimisation with measurable savings.\nStrong SQL, query plan analysis and scripting in Python or Bash for automation.\nExperience with infrastructure as code (Terraform or CloudFormation) and monitoring stacks (Prometheus, Grafana, CloudWatch, Datadog or similar).\nSolid understanding of database security: IAM and role design, encryption, secrets management, audit logging.\nWillingness to be part of a 24x7 on-call rotation, with prior experience handling production DB incidents off-hours.\nGood to Haves\nOperating Debezium / Kafka Connect CDC in production.\nRunning Trino,Starburst, StarRocks or BigQuery clusters at scale.\nS3 lifecycle and storage tiering design for backups and data lakes.\nDatabases on Kubernetes (operators such as CloudNativePG, Percona, K8ssandra).\nExperience in fintech, payments or banking, especially UPI or card systems.\nFamiliarity with Apache Iceberg / DeltaLake or Lakehouse table formats.\nAnalysing slow queries generated by BI tools such as Superset, Metabase or Power BI, tracing slow dashboard rendering back to query patterns, missing indexes or unsuitable data models, and fixing them at the source or through aggregates and caching.\nTaking part in CI/CD for database changes: migration tooling (Flyway, Liquibase, Alembic or similar), automated schema linting and review gates that enforce design standards before changes reach production.\nCertifications: AWS Database Specialty, PostgreSQL, MongoDB or 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open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["conf:0","stale_co","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/famapp-senior-database-administrator","json_url":"https://alion.io/job/famapp-senior-database-administrator.json","meta":{"generated_at":"2026-10-13T12:07:59Z","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 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