The Role
Lead design, develop, and deploy Python microservices on Docker/Kubernetes. Integrate LLMs/OpenAI APIs, implement RabbitMQ messaging, design Postgres and MongoDB schemas, build CI/CD with Azure Pipelines, manage source control and work tracking, write tests, ensure code quality, mentor juniors, and participate in Agile ceremonies.
Summary Generated by Built In
Be at the Forefront of the Agentic AI Revolution
At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.
Why Skan AI
We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.
Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.
Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.
Who are we looking for
We are seeking a skilled and motivated Lead Software Developer (Python) with 7–10 years of hands-on experience in designing, developing, and deploying Python-based microservices. The ideal candidate should have expertise working with cloud-native architectures using Docker and Kubernetes, and integrating services with Large Language Models (LLMs) via OpenAI APIs. You will lead the design, development, and deployment of scalable services while working in an agile/scrum environment.
Essential Duties and Responsibilities:
- Lead the design and implementation of Python microservices hosted on Kubernetes or Docker environments.
- Develop and maintain python micro-services where communication between microservices uses RabbitMQ
- Design and optimize database schemas; implement data access layers using PostgreSQL and MongoDB.
- Integrate LLM capabilities via OpenAI or similar APIs into microservices.
- Write unit, integration, and system tests; ensure code quality and maintainability.
- Track work progress and maintain up-to-date tasks on Azure Boards (or similar work item tracking systems).
- Manage source code repositories, branching strategies, pull requests, and reviews using Git-based tools (Azure Repos, GitHub, or similar).
- Build, configure, and maintain CI/CD pipelines using Azure Pipelines for automated testing and deployments.
- Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives) and collaborate effectively with cross-functional teams.
- Mentor and guide junior developers on coding standards, best practices, and architecture decisions.
Required experience:
Programming Skills:
- Strong expertise in Python (3.x), with knowledge of best practices for building scalable services.
- Application of proven programming principles and patterns
- Prompt engineering skill to generate code using Cursor, Co-Pilot or similar tools.
Design Skills:
- Strong expertise in OOP with Python.
- Strong expertise in code design /modelling skills using UML or similar tools
Frameworks/Libraries:
- Experience with popular Python frameworks – SQL Alchemy, Alembic
- Experience with building custom python packages.
Containerization & Orchestration: Hands-on experience with Docker, Kubernetes (AKS or self-hosted).
Messaging Systems: Proven experience using RabbitMQ for asynchronous service communication.
Databases:
- Relational: PostgreSQL (schema design, performance tuning).
- NoSQL: MongoDB (data modelling, CRUD operations).
APIs & LLMs: Integration of microservices with LLMs or OpenAI APIs; handling authentication, request/response flows, and prompt engineering basics
In-depth Knowledge and Experience in the following areas:
- High level understanding of following tech stack
- Source control with Git (Azure Repos, GitHub).
- Building and deploying using Azure Pipelines or similar CI/CD tools.
- Familiarity with container registries (ACR, Docker Hub).
Work item tracking and task management using Azure Boards (or Jira).
Experience working in Agile/Scrum methodologies, including sprint ceremonies, story point estimation, and continuous delivery.
Additional skills:
- Excellent problem-solving and troubleshooting / debugging skills.
- Strong understanding of RESTful API design principles.
- Familiarity with observability tools (logging, metrics, tracing) is a plus.
- Excellent verbal and written communication skills.
- Ability to lead technical discussions and present solutions effectively.
Preferred Qualifications:
- Certifications related to Kubernetes, Azure, or Python.
- Exposure to implementing security best practices for containerized workloads.
- Experience working with AI/ML pipelines or model deployments is a bonus.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
This is a hybrid role based in Bangalore, with an expectation to work from the office three days a week.
Skills Required
- 7-10 years hands-on experience designing, developing, and deploying Python-based microservices
- Strong expertise in Python 3.x and OOP with Python
- Experience with Docker and Kubernetes (AKS or self-hosted)
- Experience using RabbitMQ for asynchronous service communication
- Experience designing schemas and using PostgreSQL (performance tuning)
- Experience with MongoDB (data modeling, CRUD)
- Integration experience with LLMs or OpenAI APIs (authentication, request/response, prompt engineering)
- Experience with SQLAlchemy and Alembic; building custom Python packages
- Experience with Git-based tooling (Azure Repos, GitHub) and branching/PR workflows
- Experience building and maintaining CI/CD pipelines using Azure Pipelines
- Familiarity with Azure Boards or similar work-item tracking (Jira) and Agile/Scrum practices
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field
- Prompt engineering skills and experience using tools like Cursor or GitHub Copilot
- Familiarity with container registries (ACR, Docker Hub)
- Certifications related to Kubernetes, Azure, or Python
- Exposure to security best practices for containerized workloads and AI/ML pipeline experience
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The Company
What We Do
Skan AI is an enterprise AI company that provides a process intelligence and automation platform. By observing how work actually happens, Skan creates a 'Context Graph of Work' and digital twins of operations. This allows Fortune 500 companies to understand the telemetry of their digital operations, enabling confident automation and lasting transformation through AI agents trained on operational reality.
