About the job
As a Senior Software Engineer for Developer Experience, you will be at the forefront of modernizing the engineering lifecycle by integrating Agentic AI and Machine Learning into the pipeline. Your mission is to move beyond traditional workflows by building an 'intelligent' ecosystem that predicts failures, automates triage, and creates a frictionless, high-speed feedback loop for developers!
Responsibilities
Design and implement a solution for a high-signal, rapid-feedback loop to ensure developers can validate changes with speed and confidence.
Implement tools to measure and report on improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR).
Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.
Design and Develop AI agents to select change centric builds and tests.
Design and development of developer productivity tools and infrastructure. Contribute to automating workflows and improving efficiencies.
Design and implement AI-driven solutions across software development lifecycles to identify and eliminate systemic friction in the engineering workflow, with a primary focus on reducing waste in the CI pipelines.
Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex engineering workflows including triaging failures and automated remediation.
Qualifications
Minimum
BS/MS in Computer Science or related field (or equivalent experience)
5 + years of proven experience building or supporting large software projects or equivalent
Hands-on experience on Python/Java/Go
Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.
Agentic frameworks and tools
Knowledge of build tools like Make, Maven or Ant.
Excellent data analysis skills and demonstrated ability to solve complex issues involving multiple software or hardware components.
Expertise in service oriented architecture and RESTful APIs.
Strong collaborative and interpersonal skills.
Preferred
Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), Agent development, MCP. Hands-on experience implementing AI solutions to solve real-world developer productivity problems.
Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.
Knowledge in setting up and maintaining systems monitoring and logging tools.