Description

We support 800+ engineers, so every tool, script, and deployment you create can affect hundreds of developers. We are looking for someone who thrives in large-scale engineering environments and can own automation end-to-end with minimal supervision.

You’ll be part of a team that builds and maintains internal applications and data platforms that help sales, engineering, operations, and leadership teams work more effectively.

Your work will have a direct impact on how teams access information, plan resources, and make business decisions.

You will

- Build reliable business applications that ensure significant sales and operational data is captured, maintained, and easily accessible.

- Improve workforce and resource planning by developing tools that help teams manage requests, assignments, staffing, and operational activities.

- Work with large-scale data and integrations, connecting information across multiple systems and making it available through useful applications and dashboards.

- Automate and simplify business processes by replacing manual or disconnected workflows with scalable, user-friendly solutions.

- Enable better decision-making by providing leaders and teams with accurate, timely data for forecasting, planning, and reporting.

- Develop intelligent capabilities such as recommendations, data matching, notifications, and AI-assisted workflows that improve productivity and data quality.

Responsibilities

- Design, build,



and maintain enterprise-grade platforms supporting hundreds of engineers.

- Own Infrastructure as Code across AWS, Azure, and GCP via containerization.

- Build scalable Python microservices and internal platforms using Flask.

- Develop and maintain production-quality serf service apps within the platform.

- Design secure REST APIs with authentication, authorization, observability, and monitoring.

- Integrate enterprise applications using Informatica IICS (CDI, CAI) and rapidly adopt additional integration modules.

- Build highly available containerized services using Docker and Kubernetes.

- Troubleshoot production issues across networking, cloud infrastructure, containers, CI/CD pipelines, APIs, and enterprise integrations.

- Apply DevSecOps principles, including secrets management, IAM, vulnerability remediation, and policy automation.

- Partner with architects and engineering leadership to improve platform reliability and developer productivity.

- Drive AI-assisted software development using Cursor, Claude Code, GitHub Copilot, or similar tools while maintaining production-quality standards.

- Mentor engineers and establish engineering best practices.

Qualifications

- 10+ years of Total experience

- 5+ years of Flask development (Python)

- Certified in at least one of the hyperscalers (AWS, Azure, GCP, Snowflake) and 3+ years of relevant experience

- Preferred experience of 3+ years in DevOps / Cloud Operations / Application Maintenance

📌 Lead Software Engineer, (Python/Flask) (Bengaluru)
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📍 Bengaluru