Seeking talented Backend Software Engineers to develop solutions for large scale problems and manage project deliverables in machine learning infrastructure.
We're a global team with a track record of building world class enterprise products and are seeking talented Backend Software Engineers to develop our platform & infrastructure.
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience in Object-Oriented Design and programming concepts.
- Programming experience in C, C++, golang, Java or Python.
Preferred qualifications:
- Experience with large scale serving infrastructure and MLOps.
- Experience with Modern Application Development including containers, Kubernetes,, Serverless, and Microservices.
- Object-oriented, database design, and SQL skills.
Responsibilities:
- Develop solutions for real world, large scale problems.
- Design, develop, test, deploy, maintain and improve Machine Learning infrastructure and software that uses the ML models.
- Analyze functional requirements and creation of software design.
- Design and implement scalable and robust applications.
- Manage project priorities, deadlines, and deliverables.
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.
Top Skills:
Apache IcebergCloud-Native StorageDbtDynamic Data MaskingJavaPythonRbacScalaSnowflakeSparkSQLTerraform
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate ML training and serving infrastructure; design, develop, and launch backend systems; collaborate across teams to decompose projects; maintain availability through monitoring and on-call support; review and debug large codebases; contribute to hiring and team growth.
Top Skills:
AWSKotlinKubernetesMySQLPython
Big Data • Fintech • Mobile • Payments • Financial Services
Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.
Top Skills:
BigQueryBuildkiteCi/CdContainerized ApplicationsDatabricksDockerEvent-Driven FrameworksGithub ActionsLlmOauthOidcPythonRest ApisSecrets ManagementSemantic LayerSnowflakeSQLWebhooks
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
