Senior Database Administrator
Bengaluru
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting
What you’ll work on
Full postingWe 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.
Uptime & Reliability: Own availability SLOs for production databases.
Own database availability targets, lead incident response and root cause analysis
Design and test backups, replication and DR drills with documented RTO/RPO
Own database controls and evidence for RBI, NPCI, ISO 27001 and PCI DSS audits
From the employer’s posting
We 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.
Uptime & Reliability: Own availability SLOs for production databases. Lead incident response and RCAs for DB-related outages, and drive fixes to closure.
Own availability SLOs for production databases. Lead incident response and RCAs for DB-related outages
Design and test backup, PITR, cross-AZ and cross-region replication. Plan and execute periodic DR drills with documented RTO/RPO results.
Own database controls for RBI, NPCI, ISO 27001, PCI DSS and third-party audits
Tools in this posting
- Bash
- Python
- SQL
- AWS
- BigQuery
- Datadog
- DynamoDB
- Grafana
- Iceberg
- Kafka
- Kubernetes
- Metabase
- MongoDB
- NoSQL
- PostgreSQL
- Power BI
- Redis
- S3
- Superset
- Terraform
- Trino
Source — Tool mentions in context
- Hands-on database cost optimisation with measurable savings. - Strong SQL, query plan analysis and scripting in Python or Bash for automation. - Experience with infrastructure as code (Terraform or CloudFormation) and monitoring stacks (Prometheus, Grafana, CloudWatch, Datadog or similar).
About this Role: We 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. On the Job
- Cost Optimisation: Right-size instances, reserved capacity and storage tiers; tune DynamoDB capacity modes; retire unused replicas and snapshots. Report spend against usage. - CDC Operations: Operate and tune CDC pipelines (Debezium, Kafka Connect, AWS DMS): replication slots, binlog/WAL retention, schema changes, lag and replay. - Object Storage & Lifecycle: Manage S3 buckets used for backups, archives and the lakehouse. Analyse access patterns and set lifecycle, tiering and retention policies.
- Taking 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. - Certifications: AWS Database Specialty, PostgreSQL, MongoDB or Cassandra. Perks That Go Beyond the Paycheck
- Object Storage & Lifecycle: Manage S3 buckets used for backups, archives and the lakehouse. Analyse access patterns and set lifecycle, tiering and retention policies. - Distributed Query Engines: Operate and tune MPP engines such as Trino, StarBurst, StarRocks, BigQuery: cluster sizing, resource groups, caching, query governance. - Design Standards: Define and enforce standards for schema design, naming, indexing, migrations, access roles and PII handling. Review schema changes before they reach production.
- Operating Debezium / Kafka Connect CDC in production. - Running Trino,Starburst, StarRocks or BigQuery clusters at scale. - S3 lifecycle and storage tiering design for backups and data lakes.
- Strong SQL, query plan analysis and scripting in Python or Bash for automation. - Experience with infrastructure as code (Terraform or CloudFormation) and monitoring stacks (Prometheus, Grafana, CloudWatch, Datadog or similar). - Solid understanding of database security: IAM and role design, encryption, secrets management, audit logging.
- On-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. - 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. - Workload 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.
- Audit & 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. - Cost Optimisation: Right-size instances, reserved capacity and storage tiers; tune DynamoDB capacity modes; retire unused replicas and snapshots. Report spend against usage. - CDC Operations: Operate and tune CDC pipelines (Debezium, Kafka Connect, AWS DMS): replication slots, binlog/WAL retention, schema changes, lag and replay.
- Deep production expertise in PostgreSQL or PostgresSQL Based, including replication internals, vacuum/InnoDB tuning, and upgrades on both self-managed and RDS/Aurora. - Production experience with at least two of: DynamoDB, Cassandra, MongoDB, Redis. - Proven record of DR drills, multi-AZ/multi-region replication and restoring from backup under pressure.
- Experience in fintech, payments or banking, especially UPI or card systems. - Familiarity with Apache Iceberg / DeltaLake or Lakehouse table formats. - Analysing 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.
Good to Haves - Operating Debezium / Kafka Connect CDC in production. - Running Trino,Starburst, StarRocks or BigQuery clusters at scale.
- S3 lifecycle and storage tiering design for backups and data lakes. - Databases on Kubernetes (operators such as CloudNativePG, Percona, K8ssandra). - Experience in fintech, payments or banking, especially UPI or card systems.
- Familiarity with Apache Iceberg / DeltaLake or Lakehouse table formats. - Analysing 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. - Taking 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.
- 5-8 years in database administration or database reliability engineering, with at least 3 years on high-traffic, customer-facing production systems. - Deep production expertise in PostgreSQL or PostgresSQL Based, including replication internals, vacuum/InnoDB tuning, and upgrades on both self-managed and RDS/Aurora. - Production experience with at least two of: DynamoDB, Cassandra, MongoDB, Redis.
- CDC Operations: Operate and tune CDC pipelines (Debezium, Kafka Connect, AWS DMS): replication slots, binlog/WAL retention, schema changes, lag and replay. - Object Storage & Lifecycle: Manage S3 buckets used for backups, archives and the lakehouse. Analyse access patterns and set lifecycle, tiering and retention policies. - Distributed Query Engines: Operate and tune MPP engines such as Trino, StarBurst, StarRocks, BigQuery: cluster sizing, resource groups, caching, query governance.
- Running Trino,Starburst, StarRocks or BigQuery clusters at scale. - S3 lifecycle and storage tiering design for backups and data lakes. - Databases on Kubernetes (operators such as CloudNativePG, Percona, K8ssandra).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 13, 2026 · 17 days ago
- Recorded sightings
- 17
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
About Fam (previously FamPay)
Fam is India’s first payments app for everyone above 11. FamApp helps make online and offline payments through UPI and FamCard. We are on a mission to raise a new, financially aware generation, and drive 250 million+ young users in India to kickstart their financial journey super early in their life.
We’re reimagining how the next generation experiences fintech—going beyond payments to build a lifestyle brand that blends money, identity, and everyday experiences into one seamless, intuitive journey.
Founded in 2019 by IIT Roorkee alumni, Fam is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital) India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors.
About this Role:
We 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.
On the Job
- Uptime & Reliability: Own availability SLOs for production databases. Lead incident response and RCAs for DB-related outages, and drive fixes to closure.
- On-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.
- 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. - Workload 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.
- DR & 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.
- Audit & 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.
- Cost Optimisation: Right-size instances, reserved capacity and storage tiers; tune DynamoDB capacity modes; retire unused replicas and snapshots. Report spend against usage.
- CDC Operations: Operate and tune CDC pipelines (Debezium, Kafka Connect, AWS DMS): replication slots, binlog/WAL retention, schema changes, lag and replay.
- Object Storage & Lifecycle: Manage S3 buckets used for backups, archives and the lakehouse. Analyse access patterns and set lifecycle, tiering and retention policies.
- Distributed Query Engines: Operate and tune MPP engines such as Trino, StarBurst, StarRocks, BigQuery: cluster sizing, resource groups, caching, query governance.
- Design Standards: Define and enforce standards for schema design, naming, indexing, migrations, access roles and PII handling. Review schema changes before they reach production.
- Maintenance & Security Upgrades: Own version upgrades, patching, parameter changes and certificate rotation with zero or planned-minimal downtime.
- Launch Readiness: Prepare database infrastructure for new product rollouts: capacity plans, load tests, migration runbooks, rollback paths.
- Collaboration: Work with backend, data, SRE, security and non-technical stakeholders (compliance, finance, product) and translate DB risk into decisions they can act on.
Must Haves
- 5-8 years in database administration or database reliability engineering, with at least 3 years on high-traffic, customer-facing production systems.
- Deep production expertise in PostgreSQL or PostgresSQL Based, including replication internals, vacuum/InnoDB tuning, and upgrades on both self-managed and RDS/Aurora.
- Production experience with at least two of: DynamoDB, Cassandra, MongoDB, Redis.
- Proven record of DR drills, multi-AZ/multi-region replication and restoring from backup under pressure.
- Direct involvement in regulatory or third-party audits (RBI, ISO 27001, PCI DSS, SOC 2 or equivalent), including producing evidence and closing findings.
- Hands-on database cost optimisation with measurable savings.
- Strong SQL, query plan analysis and scripting in Python or Bash for automation.
- Experience with infrastructure as code (Terraform or CloudFormation) and monitoring stacks (Prometheus, Grafana, CloudWatch, Datadog or similar).
- Solid understanding of database security: IAM and role design, encryption, secrets management, audit logging.
- Willingness to be part of a 24x7 on-call rotation, with prior experience handling production DB incidents off-hours.
Good to Haves
- Operating Debezium / Kafka Connect CDC in production.
- Running Trino,Starburst, StarRocks or BigQuery clusters at scale.
- S3 lifecycle and storage tiering design for backups and data lakes.
- Databases on Kubernetes (operators such as CloudNativePG, Percona, K8ssandra).
- Experience in fintech, payments or banking, especially UPI or card systems.
- Familiarity with Apache Iceberg / DeltaLake or Lakehouse table formats.
- Analysing 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.
- Taking 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.
- Certifications: AWS Database Specialty, PostgreSQL, MongoDB or Cassandra.
Perks That Go Beyond the Paycheck
• Relocation assistance to make your move seamless.
• Free office meals (lunch & dinner).
• Generous leave policy, including birthday leave, period leave, paternity and maternity support, and more.
• Salary advance and loan policies for any financial help.
• Quarterly rewards and recognition programs, and a referral program with great incentives.
• Access the latest gadgets and tools.
• Comprehensive health insurance for you and your family, mental health support.
• Tax benefits with options like food coupons, phone allowances, car/device leasing.
• Retirement perks like PF contribution, leave encashment and gratuity.
Here’s all the tea on FamApp ☕️
FamApp focuses on financial inclusion of the next generation by providing UPI & card payments to everyone above 11 years old. Our flagship Spending Account, FamX, seamlessly integrates UPI and card payments, enabling users to manage, save, and learn about their finances effortlessly.
Revolutionizing Payments and FinTech
FamApp has enabled 10 million+ users to make UPI and card payments across India, removing the inconvenience of carrying cash everywhere. Users get to customise their FamX card with doodles, which lets them add a personal touch to their payments.
Trusted by leading investors
We’re proud to be supported by renowned investors like Elevation Capital, Y-Combinator, Peak XV (formerly Sequoia Capital India), Venture Highway, Global Founder’s Capital, and esteemed angels Kunal Shah and Amrish Rao.
Join Our Dynamic Team
At Fam, our people-first approach is reflected in our generous leave policies, flexible work schedules, comprehensive health benefits, and free mental health sessions. We don’t mean to brag, but we promise you’ll be surrounded by some of the most fun, talented and passionate people in the startup space.
Want to see what makes life at Fam so awesome? Check out our shenanigans at @lifeatfam 😛
PS - We’re looking for someone with an AI-native mindset, who actively leverages AI in their day-to-day work, as we encourage and embed it across every level at Fam.
Employment type
Full Time
Source details
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Bengaluru
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