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Skeps - Solution Engineer - Python

Skeps
2 - 5 Years
Gurgaon/Gurugram

Posted on: 25/03/2026

Job Description

About the Role :

We're looking for a Python developer who thrives in a "build-end-to-end" solution environment. You'll be the technical force behind building internal tools in our multi-tenant infrastructure, building tools and libraries that eliminate manual work, and exploring cloud-native solutions to business problems.

You will be responsible to carry out implementation of key architecture component and assist in designing these architecture components

What You'll Actually Do :

Build Tools and Implement Architecture Components (60% of your time) :

- Design and develop Python libraries and applications to automate multi-step cloud operations

- Create reusable Python modules that abstract complex workflows

- Build CLI tools, scripts and REST APIs that eliminate repetitive manual tasks across our single-tenant deployments

- Write production-grade Python code (not just scripts) - think classes, packages, proper error handling, documentation

Cloud API Integration & Exploration (30% of your time) :

- Deep-dive into Azure/AWS service APIs to find programmatic solutions to operational problems

- Explore cloud-native alternatives to traditional approaches (e.g., managed identity authentication instead of password vaults)

- Integrate multiple cloud services through their Python SDKs (Azure SDK for Python, Boto3, etc.)

- Research and implement cloud services that solve business needs (IAM, databases, networking, compute)

- Deploy & Maintain Your Code (10% of your time)

- Deploy your automation tools and libraries to cloud infrastructure

- Set up basic CI/CD for your projects when manual deployment becomes tedious

- Troubleshoot issues with your applications and cloud integrations

What We're Looking For :

Must Have :

- Strong Python development skills - you write clean, maintainable Python code

- Cloud API/SDK experience (Azure or AWS) - you've used cloud SDKs to build applications, not just infrastructure management

- Solutioning mindset - you naturally think "I could solve this" when you encounter a problem

- Self-sufficient developer - you've deployed your own code to cloud platforms and dealt with the full lifecycle

- Experience building internal tools, libraries, or frameworks from scratch

Great to Have :

- Built Python packages/libraries that others have used

- Experience with Azure services (MySQL, EntraID, Storage, Functions, etc.)

- Background in environments where you wore multiple hats (dev, deploy, ops)

- Familiarity with API design and RESTful services

- Basic understanding of CI/CD concepts (enough to automate your own deployments)

Not Required :

- Terraform/IaC as primary skill

- Traditional IT operations or infrastructure management background

Examples of What Success Looks Like :

- You notice we're manually configuring database access 10 times across tenants

- You build a Python library that does it programmatically with EntraID auth integration

- Cloud operations require 20 manual Azure Portal clicks

- You write a Python CLI tool using Azure SDK that does it in one command

- Teams need a robust messaging solution

- You evaluate and implement message queue services.

- A multi-step deployment process is error-prone

- You build a Python tool that handles the workflow end-to-end

Day-to-Day Reality :

- 70% writing Python code (applications, libraries, tools)

- 20% researching cloud services and APIs

- 10% deploying, testing, and maintaining your tools

Key Responsibilities from KRA :

- Focus Area What This Actually Means for You -technical operations

- Build Python tools, APIs and libraries; write production-quality code that eliminates manual processes Release Management

- Automate deployment workflows through code; build CLI tools or APIs for coordinating multi-tenant releases Infrastructure Ownership

- Use cloud APIs to programmatically manage resources; explore and implement cloud-native solutions

- Debug your automation code and cloud integrations; root-cause analysis through logs and API responses

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