Senior Software Engineer (infrastructure)

Coursera Coursera · Consumer · India · Scaled Services

Senior Software Engineer to build and maintain infrastructure and tooling for AI adoption, focusing on agentic AI solutions. The role involves leading architecture, ensuring scalability, and collaborating with cross-functional teams to drive AI-native operating models within the organization.

What you'd actually do

  1. Build, scale and maintain the infrastructure and platform required for agentic AI solutions with org-wide usage and adoption
  2. Lead architecture and technical design while ensuring high availability, reliability and scalability in our systems
  3. Collaborate closely with Product Managers and Tech Innovation Strategists to scope out problem statements and narrow down requirements with a laser focus on impact delivered to end users and stakeholders
  4. Set a high standard of excellence for engineering culture and developer experience in the team by leading code reviews, mentoring junior engineers and building stronger processes
  5. Participate in sprint planning, technical grooming, and retrospective discussions

Skills

Required

  • 5+ years of experience in a software engineering role - with a strong background in backend engineering and cloud infrastructure
  • 1+ years of experience building production-grade agentic AI solutions
  • Proficiency in backend languages such as Python, Java, Node.js or Go
  • Technologies such as Docker, Kubernetes and Kafka
  • Strong experience in implementing APIs and writing E2E automated tests
  • Deep understanding of cloud platforms (AWS, GCP, or Azure)
  • Expertise in infrastructure as code tools like Terraform
  • CI/CD solutions such as GitHub Actions or Jenkins
  • Fervent belief in engineering quality and building technical leverage for others
  • Prior experience in leading projects and debugging complex issues with minimal supervision

Nice to have

  • Experience with modern evolving technologies on agentic AI such as RAG, MCP, LangGraph, etc.
  • Demonstrated ability to work in a fast-paced and dynamic environment, and navigate through ambiguity and uncertainty with confidence
  • Proven track record of delivering results in a resource-constrained environment with limited guidance and supervision
  • Excellent communication skills, ability to collaborate with cross-functional teams with a proactive mindset

What the JD emphasized

  • 1+ years of experience building production-grade agentic AI solutions

Other signals

  • Build, scale and maintain the infrastructure and platform required for agentic AI solutions
  • 1+ years of experience building production-grade agentic AI solutions
  • Experience with modern evolving technologies on agentic AI such as RAG, MCP, LangGraph, etc.