Software Engineer (Python or Golang, Docker, Cloud, AI Technologies)

As a DevX Tools-TaaS Engineer in the Productivity Engineering team you will be instrumental in building scalable and reliable platforms and tools using Git, Bitbucket, Python, Jenkins, Kubernetes and the latest technologies. Your primary focus will be on problem-solving in the domain of software delivery and release process automation, collaborating closely with our DevX team, developers and SDETs across the company. HOW you'll SPEND YOUR TIME HERE Design, develop, and maintain scalable web applications using modern full stack technologies. Collaborate with cross-functional teams to identify pain points and implement innovative solutions. Design, code, test, and deploy high-quality software solutions that would help increase the productivity of engineers. Utilize the latest and greatest technologies to drive continuous improvement in our automation processes. Troubleshoot and resolve issues related to tools and platforms promptly. Stay up-to-date with industry trends and emerging technologies to ensure our offerings remain cutting-edge. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). 4+ years proven experience in building scalable and reliable platforms and tools using Python (Django/Flask) or Golang. Strong Design, troubleshooting and problem-solving ability in back-end as we'll as font-end (ReactJs) Experience in working with different Databases like mongo, SQL or Neo4j Solid understanding of REST APIs, GraphQL, and asynchronous data handling. Practical experience with integrating AI/ML tools such as GitHub Copilot, CodiumAI or OpenAI. Monitor and maintain the health and usage of internal tooling platforms, proactively resolving issues. Familiarity with CI/CD tools like Jenkins and orchestration tools like Airflow Good to have knowledge of monitoring, logging and alerting solutions - the more the better. Familiarity with cloud platforms (eg, AWS, Azure, GCP) and containerization (eg, Docker, Kubernetes). Familiarity with infrastructure-as-code tools (eg, Terraform, Ansible). Excellent communication skills and the ability to collaborate effectively with cross-functional teams. A creative, independent, self-motivated person willing to learn new technologies