SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Conga is seeking a Principal Software Engineer to lead the practical adoption of AI-enabled engineering practices across the Document Automation pillar. 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.
In this role, you will define and drive an AI-enabled engineering productivity strategy across multiple Document Automation products and services. You will identify and prioritize opportunities to apply AI across discovery, requirements refinement, architecture, coding, testing, code review, documentation, release, troubleshooting, and support workflows. You will build prototypes, reference implementations, reusable accelerators, integrations, and agentic workflows that teams can adopt at scale.
You will establish practical standards, guardrails, and secure usage patterns for AI-assisted software engineering, and partner with engineering leaders and teams to integrate successful practices into everyday delivery workflows, CI/CD pipelines, and quality processes. You will define baselines and success measures, evaluate adoption and outcomes, and use evidence to continuously improve approaches.
Mentoring is a key part of this role—you will mentor Staff, Senior, and other engineers; facilitate hands-on learning; and build a sustainable community of practice in India. You will influence technical decisions across services and systems, build consensus where approaches differ, and communicate recommendations to engineering and product leadership. You will remain hands-on by contributing code, reviewing designs, troubleshooting complex issues, and demonstrating new development techniques in real product environments.
Success will be measured by adoption of effective AI-enabled practices across Doc Auto teams, demonstrated improvements in delivery efficiency and quality, reusable tooling and standards that reduce duplicated effort, growth in practical AI capability among engineers in India, and strong partnership across engineering, product, quality, security, and architecture stakeholders.
Conga is a commercial operations software company that unifies pricing, quoting, contracting, rebates, and communications. More than 10,000 customers worldwide, including over 50% of the Fortune 100, trust Conga for commercial complexity and global impact.
REQUIREMENTS:
- 10+ years of software engineering experience with a strong track record designing, building, and operating enterprise-grade SaaS solutions
- Principal-level technical leadership with a record of leading complex initiatives across multiple products, services, or engineering teams
- Practical experience applying generative AI, large language models, coding assistants, agentic workflows, retrieval techniques, or related technologies to improve software engineering outcomes
- Strong proficiency in C# and .NET
- Experience with REST APIs and distributed systems
- Practical experience with modern web application frameworks such as React or comparable technologies
- Meaningful experience building on AWS or Azure
- Deep knowledge of CI/CD, automated testing, observability, secure development, code quality, and agile delivery
- Ability to evaluate privacy, security, intellectual property, reliability, and governance considerations and translate them into practical engineering guardrails
- Ability to define useful baselines and outcome measures, distinguish activity from impact, and prioritize solutions based on value, usability, adoption, and maintainability
- Strong communication skills; ability to communicate complex technical ideas clearly to engineers, leaders, and cross-functional stakeholders
- Bachelor's degree in Computer Science, Engineering, or a related field (preferred)
PREFERRED QUALIFICATIONS:
- Experience leading AI adoption or developer productivity initiatives in a large engineering organization
- Hands-on experience with GitHub Copilot, Azure Foundry, Azure OpenAI, Amazon Bedrock, OpenAI APIs, or comparable technologies
- Experience designing AI agents, tool integrations, evaluation frameworks, prompt and context strategies, or retrieval-augmented solutions
- Experience with developer platforms, internal tooling, CI/CD automation, frontend and API test generation, code review automation, knowledge systems, or engineering analytics
- Experience working across modern web interfaces, service APIs, backend systems, and cloud infrastructure
- Experience supporting large-scale, multi-tenant SaaS products and modernizing established codebases and engineering workflows
- Demonstrated ability to coach others and turn experimentation into repeatable, broadly adopted engineering practices
