Senior Platform Engineer

13 hours ago

Bengaluru, Karnataka, India 881d560b-2710-44a3-a24b-2faa153179e1 Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Only Immediate Joiners

Prompt Engineering

Support the Platform Team in rapidly prototyping and implementing AI-powered tools and dashboards (e.g., Outlook/Zoom/Slack/Confluence analytics, automation agents, and observability dashboards). The contractor will work under the guidance of senior engineers and architects to convert AI-generated blueprints into working, production-quality solutions.

Technical Skills Must Have

  • Programming & Scripting: Strong foundation in Python or JavaScript for automation and integration tasks; experience using REST APIs (Microsoft Graph API, Zoom API, etc.).
  • Data Handling: Ability to clean, transform, and visualize data from CSVs or APIs; familiarity with SQL and data visualization tools (DOMO, Power BI, Tableau).
  • AI-Driven Development: Experience using AI coding assistants (ChatGPT, Claude, GitHub Copilot); understanding of prompt engineering and iterative building using AI tools.
  • Web & UI Basics: Comfortable working with HTML/CSS/JavaScript for prototypes and dashboards; able to deploy front-end mockups from AI-generated templates.
  • Collaboration Tools: Experience with GitHub/GitLab, CI/CD basics, and agile tools (Jira, Confluence).
  • Mindset & Execution: High curiosity and initiative to learn new tools quickly; ability to follow AI or human-generated implementation plans accurately.

Technical Skills – Nice to Have

  • Familiarity with DOMO connectors, Azure Logic Apps, or Power Automate.
  • Exposure to LLM-based workflow automation or chatbot building (OpenAI APIs).
  • Experience working with cloud environments (Azure, AWS).
  • Understanding of data privacy and security concepts.
  • Ability to write simple documentation or knowledge articles in Confluence or Markdown.

Job Description

Title: Platform Engineer (AI-Enabled Projects)

Team: Platform (part of Enterprise Collaboration Engineering)

Key Responsibilities

  • Implement, test, and polish features defined by senior engineers or AI-generated implementation guides.
  • Connect enterprise data sources (Outlook, Zoom, Slack) via APIs for analytics and reporting.
  • Build and maintain dashboards in DOMO, Power BI, or equivalent tools.
  • Use AI tools (ChatGPT, Claude, Copilot) to accelerate coding, testing, and documentation.
  • Validate outputs from AI instructions, resolve issues, and ensure data integrity.
  • Collaborate in agile sprints; maintain version control and documentation.
  • Continuously explore and recommend automation or optimization ideas.

Success Indicators

  • Rapid delivery of high-quality implementations with minimal rework.
  • Effective use of AI tools for coding and troubleshooting.
  • Reusable and well-documented platform components.
  • Contribution to operational efficiency and platform solution quality.

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