Software Engineer, Cloud Engineer - Software, DevOps
Listed on 2026-04-17
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Software Development
Software Engineer, Cloud Engineer - Software, DevOps, Full Stack Developer
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 accelerates the customer’s journey to becoming a more connected and intelligent business. The Conga Advantage Platform is recognized worldwide for enhancing this journey, bringing together Configure, Price, Quote, Contract Lifecycle Management, and Document Automation capabilities on a single open platform. It integrates seamlessly with any ERP, CRM, and Cloud. Powered by a unified data model and purpose‑built AI, Conga helps companies achieve a unique advantage—one built on seamless connection, actionable intelligence, and scalable growth.
Ourapproach
The Conga Way is grounded in the Conga Way, a framework that reflects our values and drives everything from hiring to decision‑making, as well as key programs including recognition. Created with direct input from our colleagues, the Conga Way forms the foundation of our vibrant culture.
Job TitleSoftware Engineer
LocationsHouston, TX;
Boston, MA
Manager, Software Engineering
A quick snapshotWe are seeking a talented and motivated Software Engineer to join our engineering team and contribute to the development of next‑generation AI and Generative AI–powered products and solutions. In this role, you will work on cutting‑edge SaaS technologies and help build scalable software used by enterprises worldwide. You will contribute to the design, development, testing, deployment, and maintenance of software systems while collaborating with cross‑functional teams to deliver reliable and innovative product capabilities.
Whyit’s a big deal
As a Software Engineer, you will contribute to the development of Conga’s AI‑powered platform by helping build scalable applications and services that support intelligent automation and advanced analytics for global customers.
Responsibilities- Software Development
. Write clean, maintainable, and efficient code for software applications and distributed systems while adhering to engineering best practices. - GenAI Product Development
. Participate in the AI development lifecycle including data preparation, model experimentation, evaluation, and deployment of generative AI solutions. - Technical Contribution
. Collaborate with engineering teams to develop and enhance software features that meet performance, scalability, and reliability requirements. - Feature Delivery
. Work closely with product managers and engineering teams to deliver features and improvements on schedule while maintaining high quality standards. - Architectural Participation
. Contribute to technical design discussions and architecture reviews to ensure solutions are scalable, reliable, and maintainable. - Code Review
. Participate in peer code reviews and maintain a high standard of technical quality across the engineering team. - Testing & Quality
. Develop testable software, write unit tests, and participate in automated testing processes using modern testing tools and frameworks. - Service Health & Reliability
. Monitor service performance and assist in troubleshooting issues. Participate in root cause analysis and improvements to enhance system reliability. - Dev Ops Collaboration
. Work within a Dev Ops model to help deploy, monitor, and maintain applications in production environments. - Documentation
. Document features, enhancements, and fixes while contributing to knowledge sharing and internal documentation.
- Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
- 4+ years of professional software development experience
- Strong proficiency in Python and modern Python frameworks
- Experience with FastAPI, PyTest, Celery, or similar technologies
- Familiarity with software development practices, version control systems such as Git Hub, and work tracking tools such as JIRA
- Understanding of cloud technologies and Dev Ops principles
- Experience with object‑oriented programming, concurrency, and REST APIs
- Familiarity with AI/ML,…
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