Job Description

About the Company

ProductSquads was founded with a bold mission: to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. We’re building an AI-native platform that redefines how software teams deliver value—whether through code written by humans, agents, or both. Our stack combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your chance to build not just models, but systems that think, decide, and act. We’re developing AI fabric tools, domain-intelligent agents, and real-time decision systems to power the next generation of product delivery.



About the Role

The Senior Database Engineer is responsible for designing, managing, and modernizing scalable and secure database platforms. The role focuses on reliability, performance, cloud migration, automation, and AI-assisted operations while collaborating with engineering teams to support production systems and ensure high availability and operational excellence.



Responsibilities

  • Database Engineering & Operations
  • Design, implement, and operate relational and non-relational database platforms supporting business critical applications.
  • Ensure high availability, backup, restore, and disaster recovery across production and non-production.
  • Lead performance tuning, capacity planning, and reliability improvements.
  • Cloud & Platform Modernization
  • Engineer and operate cloud-native and hybrid database solutions.
  • Execute database migrations and platform modernization initiatives.
  • Apply infrastructure-as-code and repeatable patterns for database provisioning and change.
  • Evaluation, Safety, and Reliability
  • Evaluate AI-assisted behaviors beyond correctness, including reliability, failure modes, and operational risk.
  • Automation & AI-Assisted Engineering
  • Build automation for database provisioning, maintenance, monitoring, and remediation.
  • Use AI agents or agent-assisted tooling to support diagnostics, optimization, and operational workflows.
  • Integrate databases with AI systems, APIs, and agent frameworks, including MCP-based or equivalent.
  • Ensure database and AI-assisted workflows are observable, traceable, and safe to operate in production.
  • Lead root cause analysis and drive durable remediation after incidents.
  • Delivery & Collaboration
  • Partner with application engineering, product, and infrastructure teams to support releases, schema changes, and data design.
  • Contribute to SOPs, runbooks, documentation, and operational standards.
  • Participate in on-call rotation and production support.
  • Technical Leadership
  • Act as a senior technical resource within the database function.
  • Mentor peers through design reviews, operational guidance, and knowledge sharing.

Qualifications

  • Bachelor’s degree in computer science, Information Systems, or equivalent practical experience.
  • 7+ years of experience in database engineering or administration in complex production environments.


Required Skills

  • Expertise in at least one major RDBMS (SQL Server, Oracle, or PostgreSQL) and familiarity with NoSQL (e.g., MongoDB).
  • Strong knowledge of high availability, backup/restore, and disaster recovery strategies.
  • Proven experience in performance tuning and capacity planning.
  • Hands-on experience with cloud database services (AWS, Azure, or GCP) and migration projects.
  • Proficiency in scripting and automation (PowerShell, Python) and Infrastructure-as-Code tools.
  • Infrastructure-as-Code & automation: Terraform/CloudFormation/Bicep, Ansible, CI/CD for database changes (migration scripts, versioning, approvals).
  • Understanding of security and compliance standards (SOC 2, GDPR) for database operations.
  • Practical experience with AI-assisted workflows & AI/agent tooling for diagnostics, optimization, and automation; ability to evaluate safety, reliability, and failure modes.
  • Integration & APIs: safe database integration with AI systems/agents (e.g., MCP-based frameworks), REST/GraphQL, job schedulers, and messaging systems.

Pay range and compensation package

  • Mon – Fri Paid time off and holidays
  • Flexible working hours
  • Opportunity to work in a dynamic and collaborative environment
  • Professional development and training opportunities
  • Health Insurance


Equal Opportunity Statement

We are committed to diversity and inclusivity.

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