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
Build and operate ML training and serving infrastructure by designing, developing, and launching backend systems. Collaborate across teams to decompose projects, support operations and on-call, create monitoring and metrics, perform code reviews, and contribute to developer velocity and platform reliability.
Top Skills:
AWSKotlinKubernetesMySQLPython
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead architecture and technical strategy for an internal platform that provides operational visibility into high-volume fund movements. Drive AI-first tooling, build fault-tolerant search and remediation systems, align cross-functionally, and elevate engineering quality through mentorship, design reviews, and process improvements.
Top Skills:
Generative Ai
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Lead design and implementation of the payment and clearinghouse platforms powering Headway's revenue flows. Build fault-tolerant, observable integrations (Stripe, Plaid, payers), create abstractions for adjacent teams, mentor engineers, and write high-impact code to ensure reliability, throughput, and correct reconciliation of transactions at scale.
Top Skills:
AWSClaudeCursorDatadogEddyFastapiGeminiKafkaNext.JsPagerdutyPlaidPostgresPython 3ReactRedisRemixSentrySnowflakeSqlalchemyStripeTemporalTypescript
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
