Database Engineer

We are looking for a Database Engineer (L5) who is a senior technical contributor responsible for designing implementing and optimizing database systems that support distributed cloud-native and high-performance applications. With 58 years of experience this role blends deep technical expertise with cross-functional collaboration ensuring secure scalable fault-tolerant and high-availability data platforms.

You will partner closely with software engineering infrastructure data engineering and product teams to architect database schemas optimize performance manage data pipelines enforce compliance and ensure long-term reliability across environments. This role provides leadership in data modeling query optimization database automation observability and operational excellence.

Core Responsibilities:

• Design configure and maintain relational and NoSQL database systems across cloud and containerized environments.

• Develop and optimize schemas indexes queries and stored procedures for performance scalability and reliability.

• Implement backup/restore strategies high-availability configurations replication and disaster recovery plans.

• Troubleshoot database performance issues using profiling monitoring and observability tools.

• Collaborate with engineering teams to optimize data access patterns API integrations and application-database interactions.

• Automate provisioning patching schema migrations and operational workflows using modern DevOps/DBOps practices.

• Ensure data governance security encryption auditing and compliance with regulatory requirements.

• Build and maintain CI/CD pipelines for database changes across environments.

• Participate in incident response and root-cause analysis for production data issues.

• Mentor junior engineers on database design performance tuning and operational best practices.

Qualifications :

Required qualifications:

• 58 years of professional experience in database engineering data platform engineering or backend engineering with an emphasis on data systems.

• Strong expertise in one or more RDBMS technologies (PostgreSQL MySQL SQL Server Aurora.

• Experience with NoSQL platforms such as MongoDB Cassandra DynamoDB Redis or Elasticsearch.

• Proficiency in SQL query optimization indexing strategies partitioning and data modeling.

• Familiarity with Kubernetes-based environments operators StatefulSets and persistent storage solutions.

• Hands-on experience with database observability: metrics logs traces dashboards and profiling.

• Knowledge of CI/CD pipelines schema migration tools and Git-based workflows.

• Understanding of cloud platforms (AWS Azure GCP) networking IAM and managed database services.

• Bachelors degree in Computer Science Engineering or equivalent practical experience.

• Advanced English level (written and spoken) to communicate effectively across global teams.

Preferred experience:

• Experience supporting distributed or high-throughput systems in enterprise or regulated industries (healthcare life sciences medical devices finance).

• Exposure to event-driven architectures streaming platforms (Kafka Pulsar) and CDC pipeline design.

• Familiarity with infrastructure automation (Terraform Pulumi Ansible) and monitoring suites (Prometheus Grafana Loki OTEL).

• Experience with data warehousing (BigQuery Snowflake Redshift) or analytical modeling.

• Certifications in cloud architecture database administration or Kubernetes.

Technical skills

Database engineers at this level are expected to demonstrate familiarity with one or more tools and technologies in each of the following categories:

• Database Platforms

  • PostgreSQL MySQL SQL Server Aurora MariaDB

  • MongoDB Cassandra DynamoDB Redis Elasticsearch

• Cloud Infrastructure & Storage

  • AWS RDS Aurora DynamoDB; Azure SQL Cosmos DB; GCP Cloud SQL Bigtable

  • Kubernetes storage (PV/PVC StatefulSets Longhorn)
    Backup/restore automation and HA/DR architectures

• Automation & DevOps

  • Liquibase Flyway Alembic for schema migrations

  • Terraform Pulumi Ansible

  • GitHub Actions GitLab CI ArgoCD Jenkins

• Observability & Performance

  • Query planners EXPLAIN/ANALYZE pgstat views

  • Prometheus Grafana Loki OpenTelemetry

  • Slow-query analysis performance tuning index optimization

• Security & Governance

  • Data encryption (at-rest in-transit)

  • IAM/RBAC secret management (Vault KMS)

  • Auditing logging data retention policies

Soft Skills

• Strong analytical and diagnostic skills with ability to resolve complex technical issues.

• Clear communication especially when translating database constraints to engineering and product teams.

• Ability to collaborate across teams and influence system design decisions.

• Ownership mindset with a focus on stability reliability and long-term maintainability.

• Adaptability to shifting priorities in fast-paced environments.

• Mentorship capability and willingness to support junior contributors.

Organizational Competencies

• Remote Collaboration: Works effectively in distributed teams using asynchronous communication.

• Continuous Learning: Actively explores new models frameworks and safety techniques.

• Cultural Fit: Embodies Veritas Automatas values of innovation integrity and ownership.

• Strategic Impact: Contributes reusable AI building blocks that accelerate future product delivery.

Additional Information :

Workplace Conditions and Physical Expectations

• Prolonged periods of sitting at a desk and working on a computer.

• Must be able to lift 15 pounds at times.

• Must access and navigate each department at the organizations facilities.

• Occasional travel to the clients site may be required.

Work-life integration: We support work-life balance and create greater synergy among work home family and personal well-being.

Remote Work :

Yes

Employment Type :

Full-time