Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead platform performance and scalability for ServiceNow and enterprise systems. Design architecture standards, perform performance tuning and monitoring, conduct technical reviews, resolve bottlenecks, guide cross-functional teams on capacity planning and reliability, and drive platform KPIs and innovation.
Top Skills:
AjaxCSSDomHeap Dump AnalysisHTMLItomItsmJavaJava JdkJavaScriptLinuxMicrosoft Windows ServerMySQLOraclePerlPostgresPythonServicenowSplunkUnix ShellWindows ShellXhtmlXML
Fintech • Software • Financial Services
Build the core AI platform and high-performance Rust backend powering an AI-native trading copilot. Implement streaming responses, low-latency tool execution, caching, orchestration of models and tools, secure APIs, auditing/tracing, and safe, auditable trading action infrastructure. Partner with product and frontend to enable AI-native UX and translate trading domain requirements into resilient platform primitives.
Top Skills:
CachingLlm ApisModel ServingPostgresReactReact NativeRustStreamingTokio/AsyncTypescript
Mobile • Software
Build and operate Radar's infrastructure and developer platform to support 1B API calls/day. Work on backend, SDKs, and data systems using TypeScript, Rust, Python, and Scala. Improve observability, automation, CI/CD, IAM, feature flags, and security; enable self-serve developer workflows; collaborate with SRE, data, QA, and customers; participate in on-call rotation.
Top Skills:
AirflowAndroidAthenaAWSClaudeCodexEksiOSKubernetesMaplibreMongoDBNode.jsOpenaddressesOpenstreetmapPythonReact NativeRedisRustS3ScalaTerraformTypescript
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
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 Staff Platform Engineer will primarily work on Screens, an AI-powered contract review application run by a small, experienced team. 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
- Other duties as assigned
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
- Minimum of 10 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
- Deep understanding of:
- 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
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
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.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
