Principal Software Engineer

About the role

A career that’s the whole package!

At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.

Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.

Job Title: Principal Software Engineer (AI,Fullstack)

Locations: Bengaluru

Reports to: Director of Software Engineering

A quick snapshot...

As a Principal Software Engineer within the Document Automation pillar, you will lead the practical adoption of AI-enabled engineering practices across multiple products, services, and teams. Your focus will be improving how software is designed, built, tested, reviewed, documented, released, and supported. You will combine hands-on engineering and prototyping with broad technical leadership to create reusable approaches, establish effective standards, and help teams achieve measurable improvements in productivity, quality, and delivery effectiveness.

Why it’s a big deal…

This role will help shape how Doc Auto uses AI across the software development lifecycle. You will identify high-value opportunities, validate them through hands-on implementation, and scale successful practices across the pillar. Your impact will extend beyond individual code contributions: you will mentor senior technical talent, build alignment across teams, and serve as the AI engineering champion for our India organization while keeping solutions secure, responsible, maintainable, and grounded in measurable business outcomes.

What you'll accomplish…

- Define and drive an AI-enabled engineering productivity strategy across multiple Document Automation products and services.

- Identify and prioritize opportunities to apply AI across discovery, requirements refinement, architecture, coding, testing, code review, documentation, release, troubleshooting, and support workflows.

- Build prototypes, reference implementations, reusable accelerators, integrations, and agentic workflows that teams can adopt at scale.

- Establish practical standards, guardrails, and secure usage patterns for AI-assisted software engineering.

- Partner with engineering leaders and teams to integrate successful practices into everyday delivery workflows, CI/CD pipelines, and quality processes.

- Define baselines and success measures, evaluate adoption and outcomes, and use evidence to continuously improve approaches.