Senior Software Engineer

PassFort

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

4 days ago
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Job summary

PassFort Bangalore seeks a senior software engineer to own end-to-end system design and delivery. You will work across backend, frontend, and infra, using AI coding agents to accelerate development while maintaining rigorous review and validation.

The role emphasizes R&D, cloud infrastructure, CI/CD, and cross-domain collaboration with ML and bioinformatics teams in a fast-paced startup environment.

Qualifications

  • Strong software design and architecture judgment.
  • Hands-on experience with AI coding agents for real work.
  • Data Structures and Algorithms fundamentals.
  • Experience across the stack: backend, frontend, or infra.
  • Cloud platforms and cloud infrastructure.
  • CI/CD pipelines setup or maintenance.
  • Experience with at least one RDBMS.

Responsibilities

  • Drive R&D: design, prototype, validate new approaches to hard problems.
  • Own core systems design, from algorithms to APIs and deployment.
  • Work independently with minimal hand-holding on loosely-defined problems.
  • Use AI coding agents to accelerate development with rigorous validation.
  • Design system architecture including DB schemas, APIs, and cloud infra.
  • Set up and maintain CI/CD pipelines and oversee deployment and reliability.
  • End-to-end responsibility from problem definition to release.
  • Collaborate with ML engineers and bioinformatics teams to translate problems into engineering solutions.

Skills

System design
DA fundamentals
Cross-domain collaboration
Experience across stack (backend/infra
AI coding agents usage
Cloud platforms
CI/CD
RDBMS

Education

B.Tech

Tools

AWS
GCP
Azure
Docker
Kubernetes
Terraform

Job description

Location: BangaloreMinimum Qualification: BTech with a minimum of 4-5 years of industry experience as a Software Engineer, with demonstrated ownership of production systems end-to-end
About the Role:

As AI coding agents take on more of the day-to-day implementation work, this role has evolved from a narrow backend/algorithms position into a broader one. We're looking for experienced engineers who can operate across the stack design, backend, frontend, and infra using agents to move fast without compromising on rigor. R&D remains central to what we do; the difference is that engineers here are now expected to own more of the system, not just a slice of the code.

Responsibilities:
  • Drive R&D: designing, prototyping, and validating new approaches to hard, open-ended problems
  • Own the design and architecture of core systems from algorithms and data structures to how they're exposed, deployed, and scaled
  • Works independently with minimal hand-holding comfortable taking a loosely-defined problem, figuring out the right approach, and driving it to completion without needing constant direction
  • Use AI coding agents to accelerate development across backend, frontend, and infra, while applying rigorous review, testing, and validation to everything shipped
  • Design and evolve system architecture, including RDBMS schema, APIs, and cloud infrastructure
  • Set up and maintain CI/CD pipelines, and take ownership of deployment, monitoring, and reliability
  • End-to-end responsibility from problem definition through design, development, testing, and release
  • Work in a cross-domain team with ML engineers, immunologists, biochemists, and bioinformaticians, translating scientific problems into engineering systems
Must Have:
  • Strong software design and architecture judgment able to make and justify design decisions, not just implement them
  • Practical, hands-on experience using AI coding agents (e.g., Claude Code, Cursor, Copilot) for real engineering work, with the judgment to critically review, test, and validate agent-generated code rather than accept it as-is
  • Strong Data Structures and Algorithms fundamentals
  • Experience working across the stack comfortable picking up backend, frontend, or infra work as needed, rather than staying in one lane
  • Hands-on experience with cloud platforms (AWS/GCP/Azure) and cloud infrastructure
  • Experience setting up or maintaining CI/CD pipelines
  • Hands-on experience with at least one RDBMS
  • Ability to work and communicate effectively in a cross-domain team
  • Comfort exploring ambiguous, unfamiliar problem statements and adapting fast in an early-stage start-up
Good to Have:
  • Prior professional experience in Go, Python, C++, or Bash, Postgres
  • Experience building tooling around AI agents custom prompts, eval harnesses, agent orchestration, or MCP-based integrations
  • Familiarity with containerization/orchestration (Docker, Kubernetes) or infrastructure-as-code (Terraform)
  • Any experience in data mining or scientific/biological data pipelines
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