Principal Software Engineer
Conga
Salary undisclosed
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Description
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.
- Mentor Staff, Senior, and other engineers; facilitate hands-on learning; and build a sustainable community of practice in India.
- Influence technical decisions across services and systems, build consensus where approaches differ, and communicate recommendations to engineering and product leadership.
- Remain hands-on by contributing code, reviewing designs, troubleshooting complex issues, and demonstrating new development techniques in real product environments.
Are you the person we’re looking for?
Principal-level technical leadership. You have a record of leading complex initiatives across multiple products, services, or engineering teams. You can work through ambiguity, anticipate future needs, build consensus, and influence decisions without relying on direct authority.
AI-enabled software engineering expertise. You have practical experience applying generative AI, large language models, coding assistants, agentic workflows, retrieval techniques, or related technologies to improve software engineering outcomes. You understand both the potential and limitations of these tools.
Hands-on software architecture and development. You have 10+ years of software engineering experience and a strong track record designing, building, and operating enterprise-grade SaaS solutions. You are comfortable moving from strategy to prototype to production-ready implementation.
Full-stack and cloud engineering. You have strong proficiency in C# and .NET, experience with REST APIs and distributed systems, and practical experience with modern web application frameworks such as React or comparable technologies. You also have meaningful experience building on AWS or Azure and understand how frontend, backend, platform, and delivery concerns work together.
Modern delivery practices. You have deep knowledge of CI/CD, automated testing, observability, secure development, code quality, and agile delivery. You can recognize workflow bottlenecks and implement scalable improvements that teams will use.
Responsible and secure AI adoption. You can evaluate privacy, security, intellectual property, reliability, and governance considerations and translate them into practical engineering guardrails.
Measurement and product thinking. You can define useful baselines and outcome measures, distinguish activity from impact, and prioritize solutions based on value, usability, adoption, and maintainability.
Communication and collaboration. You communicate complex technical ideas clearly to engineers, leaders, and cross-functional stakeholders. You are comfortable facilitating alignment, challenging assumptions constructively, and presenting recommendations with confidence and credibility.
Education. A bachelor's degree in Computer Science, Engineering, or a related field is preferred.
Here’s what will give you an edge…
- Experience leading AI adoption or developer productivity initiatives in a large engineering organization.
- Hands-on experience with tools and platforms such as 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 without being limited to a single layer of the stack.
- Experience supporting large-scale, multi-tenant SaaS products and modernizing established codebases and engineering workflows.
- A demonstrated ability to coach others and turn experimentation into repeatable, broadly adopted engineering practices.
How success will be measured…
- Adoption of effective AI-enabled practices across Doc Auto teams and workflows.
- Demonstrated improvements in delivery efficiency, quality, developer experience, or operational effectiveness.
- Reusable tooling, standards, and patterns that reduce duplicated effort across products and services.
- Growth in practical AI capability among engineers and technical leaders in India.
- Strong partnership and alignment across engineering, product, quality, security, and architecture stakeholders.
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Did we pique your interest?
If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you!
Preferred Resume Format
We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.
Don’t meet every requirement for the role?
Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.
Additional Information
Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
Conga's Applicant Privacy Statement
The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.
About this role
Conga is seeking a Principal Software Engineer to lead the practical adoption of AI across its Document Automation engineering organization in Bangalore. This is a hands-on leadership role that bridges strategy and execution: you'll identify high-value opportunities to apply generative AI and LLMs across the software development lifecycle—from discovery and architecture through testing, code review, documentation, and support—then validate them through prototyping and scale successful practices across multiple products and teams. The position demands someone who can move fluidly between defining AI-enabled engineering productivity strategy, building reference implementations and agentic workflows, establishing secure usage standards, and contributing code and design reviews in real product environments.
You'll need 10+ years of software engineering experience with demonstrated principal-level leadership across complex, multi-team initiatives, plus practical expertise applying generative AI and coding assistants to improve engineering outcomes. Strong proficiency in C# and .NET, full-stack capabilities (React or similar), REST APIs, distributed systems, and hands-on experience with AWS or Azure are essential. Deep knowledge of CI/CD, automated testing, observability, and secure development practices is required, along with the ability to measure adoption and impact rigorously rather than activity alone.
Beyond technical depth, this role emphasizes mentoring senior engineers, building consensus across teams, communicating complex ideas to both technical and non-technical stakeholders, and thinking critically about the governance, security, and reliability implications of AI adoption. If you've led developer productivity or AI adoption initiatives in large organizations and have used tools like GitHub Copilot or Azure OpenAI, you'll have a strong foundation for the role.
How this employer is doing
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- Expanding
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In the news
Conga Expands AI Across the Commerce Lifecycle with New MCP Server and AiMe Capabilities, Yahoo Finance
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Pay for this role
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