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Senior Software Engineer-II

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Summary

Senior backend engineer at 1WRK by ANSR who owns features and modules end-to-end in Python (Django/FastAPI/Flask), uses AI tools in daily workflows, designs for scale and cost, and deploys secure services on AWS with CI/CD, relational/NoSQL databases, and event-driven systems, while mentoring junior engineers.

1WRK by ANSR

Senior Software Engineer

Full-Time| Experience: 4-8 Years |Location: Bangalore

About the Role:

1WRK by ANSR is hiring a Senior Software Engineer to design and build core parts of our platform. You'll work primarily in Python, think AI-first about how you build software, and take real ownership of the modules you design from system design through to a secure, scalable, cost-efficient deployment on AWS.

What You'll Do:

  • Feature & module ownership:Design, build, and own delivery of features and backend modules end-to-end, from technical design through deployment and monitoring.
  • AI-first delivery:Use AI tools and agents to speed up your own development workflow, and look for opportunities to bring AI/LLM capabilities into the product.
  • System design participation:Contribute to system design discussions for your area, reasoning clearly about scaling, reliability, and cost trade-offs.
  • Secure, quality code:Write secure, well-tested, well-documented code, following secure SDLC practices and participating actively in code reviews.
  • Data & events:Work confidently with relational/NoSQL databases and event-driven components (queues, pub/sub, streaming) as part of the systems you build.
  • AWS deployment:Get your services deployed and running reliably on AWS, using standard CI/CD pipelines.
  • Mentorship:Mentor junior engineers through code review and pairing, and raise the bar for engineering quality on your team.
  • Cross-functional collaboration:Work closely with product, design, and other engineers to turn requirements into well-scoped, buildable technical plans.

What We're Looking For:

  • 4-8 years of backend/software engineering experience, with a track record of independently owning and shipping production features or services.
  • AI-first engineering mindset:Comfortable using AI tools and agents day-to-day to speed up coding, testing, and documentation, and curious about where AI/LLM capabilities can be embedded into the product.
  • Backend engineering, Python-first:Solid backend engineering skills in any modern stack, with hands-on experience and a willingness to work primarily in Python frameworks (e.g., Django, FastAPI, Flask).
  • Data structures & algorithms:Strong command of data structures and algorithms, and the ability to reason about time/space complexity when designing a solution.
  • System design:Working understanding of system design fundamentals able to design a well-structured service or module and reason about its scaling limits, with guidance on the hardest trade-offs.
  • Secure SDLC:Understanding of secure software development lifecycle practices secure coding, dependency scanning, and building security checks into your normal development workflow.
  • Advanced analytical & out-of-the-box thinking:Strong analytical and debugging skills, with a track record of proposing creative solutions rather than just the first workable one.
  • Databases:Fair understanding of relational and NoSQL databases schema design, indexing, and writing efficient queries.
  • Event-driven systems:Exposure to event-driven architectures queues, pub/sub, or streaming systems and an understanding of the challenges they introduce.
  • Scale & cost optimization:An instinct for writing code and designing modules that are efficient, mindful of cost, and built to scale rather than just to pass a demo.
  • AWS deployment:Hands-on experience deploying and running services on AWS (e.g., EC2, ECS/EKS, Lambda, S3, RDS/DynamoDB) and comfort with standard CI/CD pipelines.
  • Strong software engineering fundamentals clean, testable, well-documented code, and disciplined use of version control and code review.
  • A genuine ownership mindset you see problems through to resolution, in production, not just to a passing test.
  • Debugging and observability instincts comfortable using logs, metrics, and tracing to root-cause issues under pressure.
  • Strong written and verbal communication able to document decisions clearly and explain trade-offs to both engineers and non-technical stakeholders.
  • A learning mindset you pick up new tools, frameworks, and AI capabilities quickly and share what you learn.
  • Collaboration across functions comfortable working closely with product, design, and other engineering teams.

Nice to Have:

  • Experience in SaaS, HR-tech, or global workforce/EOR platforms.
  • Exposure to building or consuming LLM-based features.
  • Experience with infrastructure-as-code or CI/CD pipeline design.
  • Familiarity with observability tooling (e.g., CloudWatch, Datadog, Grafana).

What Success Looks Like:

  • Features and modules you build are reliable, secure, and perform well under real production load.
  • Your code and design reviews consistently raise the quality bar for the team.
  • You can take an ambiguous requirement and turn it into a well-scoped, shippable technical plan with minimal guidance.

Why Join 1WRK by ANSR:

You'll have real ownership of hard technical problems, the room to make lasting architectural decisions, and a direct line to product and business impact.

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