As a Staff Platform Engineer, you'll develop enterprise software, collaborate with teams on innovative solutions, improve code quality, and mentor juniors.
As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
Engineers at Agiloft design, build, and deploy products designed to fundamentally change how contracts are created, reviewed, negotiated, and stored. You’ll be working with a team of experienced entrepreneurs, engineers, data scientists, designers, and legal subject matter experts to build cutting-edge innovations for a fast-growing scale-up company.
Things we’ve built so far:
- A global, enterprise-scale serverless platform on AWS, deployable on demand.
- A suite of LLM-powered applications, employing thoughtful queuing and load balancing in order to manage LLM capacity at scale.
- An API-first development culture, with a backend serving a growing number of frontend clients.
As a Staff Platform Engineer, you will work with a fast-moving, ambitious team, building and maintaining enterprise software applications. You will collaborate with a group of designers, AI experts, and other software engineers in pursuit of a common goal: to build great software products that solve high-stakes problems for our customers. The team runs a modern software stack and iterates rapidly.
Job Responsibilities
- Build and maintain software applications in our suite of enterprise software products
- Work with product managers and designers to brainstorm bottom-up solutions to novel problems
- Collaborate with AI engineers to efficiently utilize commercial large language model (LLM) APIs
- Continuously improve the code quality, extensibility, scalability, and test coverage of software projects
- Make architecture and cloud-engineering decisions in conjunction with other engineers
- Develop and improve infrastructure-as-code stacks, CI/CD pipelines, and monitoring/observability tools
- Improve internal developer tools, workflows, and best practices to enhance team efficiency
- Provide consistent feedback to management regarding the quality of the team, the state of the tech stack, and relationships with stakeholders
- Troubleshoot and resolve complex issues across the entire application stack
- Mentor junior team members
- Participate in incident response and disaster recovery efforts
- Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities
- Other duties as assigned
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
- Minimum of 8 years of professional experience as a software engineer
- Minimum of 3 years in a tech lead, architecture lead, or management role
- Comfortable working with Python in core application code
- Experience building modern, cloud-native applications using serverless technology (API Gateway, Lambda, DynamoDB, or similar)
- Interest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experience
- Strong problem-solving, collaboration, teamwork and communication skills
- Eagerness to learn and adapt to new technologies and tools
- Proficiency in using relevant AI Tools in the SLDC (Cursor, GitHub Copilot) coding, and/or API integrations
- Version control systems (Git)
- Relational databases and data modeling (Postgres preferred)
- Infrastructure as Code in AWS (CloudFormation, SAM)
- RESTful API design and documentation
- CI/CD tools such as GitHub Actions or similar
- Containerization and orchestration (Docker, ECS)
- Enterprise-scale cloud engineering in AWS
- Modern software development lifecycle on an agile product team
Required Qualifications
Deep understanding of:
Preferred Qualifications
- Interest in team leadership and career growth
- Experience building applications on top of LLMs using commercial APIs
- Familiarity with Postgres, query optimization, and database indexing
- Exposure to data science tooling in Python (numpy, scipy, scikit-learn, pandas)
- Experience with monitoring and observability across deployments and tenants
- Interest in application security and cloud security
Background checks will be conducted on an ongoing basis every 3 years or as needed for individuals in this role.
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at [email protected].
Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
Similar Jobs
Healthtech • Software
As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.
Top Skills:
AWSCi/CdEcsJavaKafkaKubernetesSpringTerraform
Big Data • Fintech • Mobile • Payments • Financial Services
The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.
Top Skills:
AWSDbtPythonSnowflakeSQL
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead the Identity Accounts team at Coinbase, responsible for authentication and authorization systems, ensuring high uptime, and collaborating with cross-functional teams to build scalable platform solutions.
Top Skills:
DatadogGoGrpcKafkaKubernetesPostgresReact
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
