Software Engineer - Production Engineering (Python/Go)

We seek creative problem-solvers who think beyond conventional boundaries and can fuse diverse approaches to deliver swift, impactful solutions. This role combines deep technical expertise with a strong understanding of support workflows to champion supportability and usability, identify pain points, and drive transformation. The engineer must be adept at building dashboards, scripts, telemetry, and accelerated troubleshooting using tools such as Python/Go, Snowflake, Tableau, SFDC, JIRA, and Confluence, while leveraging built-in diagnostics to improve efficiency. AI/ML skills are a strong advantage, enabling predictive and intelligent capabilities within the support ecosystem.

• Collaborate with Engineering to embed Supportability features within products, ensuring seamless customer experiences across capacity planning, upgrades, troubleshooting, and hardware replacement.

• Drive self-service capabilities that simplify product usage and empower customers with intuitive solutions.

• Connect diverse methodologies to craft creative, integrated solutions for complex challenges.

• Apply a deep understanding of support process flows and dependencies to identify pain points and transformation opportunities.

• Build dashboards, scripts, telemetry, and accelerated troubleshooting using tools such as Python/Go, Snowflake, Tableau, SFDC, JIRA, and Confluence.

• Evangelize the value of supportability by leveraging tools and built-in diagnostics to improve debug efficiency .

• (Bonus) Apply AI/ML skills to introduce predictive and intelligent capabilities into the support ecosystem.
  

• B.E./ M.Tech . degree in Engineering, or related field like Information Technology etc

• Innovative mindset - ability to think out of the box and fuse diverse approaches to create impactful solutions.

• Strong technical expertise in scripting, automation, and data engineering using Python/Go (or equivalent), Snowflake, Tableau, SFDC, JIRA, and Confluence.

• Deep understanding of support workflows and dependencies , with the ability to identify pain points and drive process improvements.

• Proven experience in building dashboards, telemetry, and troubleshooting tools to accelerate issue resolution.

• Ability to evangelize supportability and usability principles , influencing product design and engineering teams.

• Familiarity with AI/ML concepts and their application in predictive support and intelligent automation (preferred).

• Excellent problem-solving skills, with a focus on connecting methodologies and delivering integrated solutions .

• Strong collaboration and communication skills to work across engineering and support teams effectively.

• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making