Lead Software Engineer

Tetuan Valley; India; On-site; INR 300,000 - 600,000; Full time

Benefits offered by this job

Variable Compensation

Job summary

Enverus is seeking a Lead Software Engineer to spearhead backend and data-pipeline work in Bangalore, India. You will mentor a small team, contribute code, and own features end-to-end with AWS integration and AI-powered capabilities.

You’ll collaborate with North American teams in a fast-paced, production-focused environment. The role emphasizes hands-on leadership, scalable design, and rapid delivery of cloud-based services and AI-enabled products, aligned with modern software engineering

Qualifications

• BS/MS in Computer Science or related field.
• 8+ years software development experience with hands-on coding.
• 2–3+ years leading or mentoring engineers.
• Experience with AWS and data pipelines.
• Strong AI/LLM and agentic engineering exposure.

Responsibilities

• Lead and mentor a small engineering team while contributing code.
• Develop robust backend solutions and data pipelines on AWS.
• Build AI-powered features including LLM-based services and RAG pipelines.
• Collaborate with North American teams and cross-functional partners.
• Drive architecture reviews and technical decision-making.

Skills

Team leadership

AWS

AI/LLM integration

Backend development

REST APIs

CI/CD

Data pipelines

Problem solving

Communication

Education

Bachelor's or Master’s in Computer Science/Engineering

Tools

AWS

LangGraph

AutoGen

Langfuse

Vector stores

Job description

Lead Software Engineer -26260

Software Development/Engineering Bangalore, India

Description

Why YOU want this position: Enverus is the leading energy SaaS company, delivering advanced technical insights and predictive/prescriptive analytics that empower customers to make profitable decisions. Enverus serves over 6,000 customers in 50 countries.

We are seeking a Software Tech Lead to spearhead the development of our software solutions. If you are passionate about leading a team while being hands-on with coding and thrive in fast-paced projects with North American teams, you will have a rewarding experience with us. As a Software Tech Lead, you will utilize cutting-edge techniques to build APIs and complex data pipelines, taking end-to-end ownership of the features you develop. We seek a developer with natural curiosity, full-stack experience, and a commitment to continuous learning and adaptation.

The Team:

You will join our software engineering team at the forefront of innovation in the energy industry. Our highly collaborative and agile group is dedicated to prototyping and leveraging cutting-edge technologies to develop new products and solutions. Join us and help pioneer Enverus’s mission to drive the future of energy.

What you will do:

• Lead and mentor a small team of engineers, providing technical direction, code review, and day-to-day guidance while remaining an active, hands-on contributor.
• Collaborate across multiple concurrent projects and workstreams, balancing your own coding time with team leadership and cross-team coordination.
• Develop robust and scalable backend solutions, integrating them with various AWS services.
• Design, build, and maintain data processing pipelines leveraging various AWS services.
• Design and build AI-powered and agentic features — e.g., LLM-based services, retrieval-augmented generation (RAG), and multi-agent workflows — as part of our product roadmap.
• Evaluate and apply Gen-AI tooling (LLM APIs, vector databases, orchestration frameworks) to improve product capability and engineering velocity.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions, ensuring alignment with best practices and AWS architecture principles.
• Write maintainable code in a professional agile software engineering environment (source control, shortened release cycles, continuous integration/deployment, etc.).
• Optimize application performance and scalability by fine-tuning AWS resources and leveraging advanced techniques.
• Drive technical decision-making, including architecture reviews, technology evaluations, and trade-off discussions with peers and leadership.

What you should have:

• A Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software development, including at least 2–3 years leading or mentoring engineers (formally or informally).
• Demonstrated experience managing or guiding a small team while staying hands-on with coding — this is not a purely people-management role.
• Deep, hands-on expertise in numerous programming languages, relational databases, source control, and CI/CD.
• Strong understanding of software architecture principles, design patterns, and best practices, with the judgment to make and defend technical trade-offs.
• Experience with cloud platforms such as AWS.
• Practical experience with AI/LLM and agentic engineering — e.g., building with LLM APIs, prompt/context engineering, RAG pipelines, vector stores, or agent orchestration frameworks (such as LangGraph, AutoGen, or similar).
• Proficiency in Data Structures and Algorithms, with strong mathematical problem-solving abilities.
• Familiarity with front-end and back-end technologies and frameworks.
• Proven ability to work across multiple projects simultaneously, prioritizing effectively under shifting demands.
• Excellent leadership, team management, and mentoring skills.
• Strong problem-solving and analytical skills.
• Effective communication and interpersonal skills, comfortable collaborating with North American teams.
• Ability to prioritize, raise issues, and resolve challenging problems promptly to meet business deadlines.
• Self-motivated, task-oriented personality with a strong work ethic and desire to learn.

Nice to have:

• Hands-on experience fine-tuning or evaluating LLMs, or building production agentic systems.
• Experience with MCP (Model Context Protocol) or similar tool-calling/agent standards.
• Exposure to observability tooling for AI systems (e.g., Langfuse, Phoenix) or LLMOps practices.
• Prior experience in the energy, SaaS, or data-analytic domain.

This role is eligible for: Variable Compensation