Engineering Lead (Full Stack) / Staff Software Engineer

Our Mission

Careers at Analyttica

We’re expanding our small but mighty team to match our ambition.

At Analyttica, we’re on a mission to create an AI-powered data + decision ecosystem that will help businesses actually make data usable in everyday workflows. We’re building in a fast-moving space, solving challenging problems, and looking for people who want to grow with us!

Our Values

What We Stand For

Ownership & Initiative

We love what we do-and we’re excited by a challenge. You’ll have the freedom to spot opportunities, set priorities, and take initiative. Ownership here means driving things forward end-to-end with clarity, accountability, and follow-through. Growth is based on initiative, accountability, and impact-the problems you choose to own and the momentum you create.

Staying Ahead

We build in a fast-moving data + AI space, and we love staying ahead. Curiosity is a strength here: we explore, prototype, run POCs, and learn quickly. We value people who ask great questions, test ideas early, share learnings openly, and keep sharpening their craft.

Teamwork & Working Smart

We’re a small team, and collaboration is our superpower. We work closely, share context early, and build together. We work smart: clear priorities, high-leverage effort, and simple solutions-so energy goes into meaningful progress, not busywork.

Honesty & Integrity

We believe the best teams run on trust. We communicate with clarity and honesty-because transparency creates speed, alignment, and an environment where all of us can do our best work.

Engineering Lead (Full Stack) / Staff Software Engineer

Team: Engineering Location: Bangalore, India (In-Person) Type: Full-time

Responsibilities

• Define platform architecture, engineering standards, and technical direction.
• Lead engineering execution and mentor developers across frontend, backend, and platform initiatives.
• Operationalize AI development workflows across the team using Claude Code, Codex, Gemini etc.

Requirements

• Strong software architecture and system design experience with production-scale applications.
• Demonstrated experience using AI engineering tools such as Claude Code, OpenAI Codex, Cursor, Gemini, Windsurf, and similar technologies.
• Strong technical judgment with the ability to balance speed, quality, maintainability, and long-term platform evolution.