EvoluteIQ - Technical Lead - Python

Note : If screened-in, you will be invited for initial rounds on 10th October 2026 (Saturday) in Bangalore.

Position Title : Python Tech Lead

Location : Bengaluru, India

Life at EvoluteIQ :

We at EvoluteIQ believe in the power of transformation. We are committed to building an industry-leading technology that will revolutionize the way enterprises conduct business. To make that happen, we need people who are generous, genuine, self-driven, and collaborative.

People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and caring - about each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day.

Your Mission :

We are looking for an experienced Python Tech Lead who can guide a team of developers to build clean, scalable, maintainable, and production-ready applications. The ideal candidate has hands-on experience taking Python applications into production, enforcing engineering best practices, and contributing to end-to-end architecture across backend, frontend, and modern AI/ML ecosystems.

Technical Leadership :

• Provide technical direction and leadership to the development team.
• Conduct in-depth code reviews and enforce clean, scalable, maintainable code standards.
• Drive architectural decisions across backend, frontend, and data pipelines.
• Mentor junior developers; define best practices, reusable components, and coding guidelines.

Design and Development :

• Architect and build backend services using Python, REST APIs, async frameworks (FastAPI, Flask, Django).
• Design scalable software systems following design patterns, modular architecture, and domain-driven principles.
• Lead integration of GenAI/ML frameworks into production workflows.
• Implement ETL/data processing logic using pandas, scikit-learn, or related packages.
• Work with spaCy, LangChain, LangGraph, and other generative AI/NLP tools.
• Build microservices, containers, event-driven pipelines, and distributed systems using Docker/Kubernetes.
• Develop front-end applications (React/Angular/Vue) and guide UI developers toward scalable UI architecture.

DevOps / Productionization :

• Own CI/CD pipelines and deployment automation.
• Implement observability : logging, metrics, tracing, ingesting KPIs.
• Ensure application reliability, scalability, fault tolerance, and performance optimization.

Collaboration and Stakeholder Management :

• Collaborate with product managers and architects to understand requirements and translate into engineering plans.
• Work with cross-functional teams (frontend, backend, ML, QA) to deliver high-quality releases.
• Communicate technical decisions to stakeholders in simple, actionable language.

What will you bring to the team? :

• 12 - 15 years of total experience in Python 3.x ecosystem, OOP, design principles, static typing, dependency management.
• Building and Deploying REST APIs (FastAPI, Flask, Django).
• Class-based design and abstraction, analytics/KPI frameworks.

Generative AI and ML :

• Experience with LangChain, LangGraph, HuggingFace, spaCy, scikit-learn.
• Familiarity with LLM integration, prompt engineering, vector stores, retrieval methods, embeddings.

Frontend :

• Experience with React/Angular/Vue.
• Strong understanding of UI architecture, state management, REST/GraphQL.

Cloud and DevOps :

• Experience deploying production systems on AWS/Azure/GCP.
• Strong with Docker; knowledge of Kubernetes desirable.
• CI/CD experience, observability and monitoring tools.

Architecture and Software Quality :

• Expertise in scalable, modular systems and reusable frameworks.
• Experience with microservices, messaging queues, caching.
• Strong debugging, optimization and performance tuning.
• Strong code review and quality enforcement.

Good To Have :

• Data engineering (Airflow, Spark, DuckDB)
• Vector DBs (Pinecone, Chroma, Redis Vector, FAISS)
• RAG pipelines, agents and tool execution
• Test automation, contract testing

What We Offer :

• Opportunity to shape the strategy of a next-gen hyper-automation platform.
• Work with a cross-disciplinary team in a fast-growing, innovation-driven environment.
• Competitive compensation and growth opportunities.
• A culture of innovation, ownership, and continuous learning.