Java FS Developer

MACHINE LEARNING TECHNOLOGIES LLC · South San Francisco, CA
LinkedIn

Posted

Jun 29, 2026 (Jun 29)

Seniority

Lead

Work Model

Not Specified

Type

Contract

Category

DevOps & SRE

Salary

Not specified

Skills

CI/CD Docker Git Java Kubernetes Machine Learning Microservices Node.js Python React Salesforce Stripe TypeScript

Description

Home About Adaptive AI Industries Consulting Jobs-Portal Contact Us Home About Adaptive AI Industries Consulting Jobs-Portal Contact Us Job Description Job Overview Job ID: J53151 Job Title: Java FS Developer Location: South San Francisco, CA Duration: 16 Months + Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD Client: To Be Discussed Later Employment Type: W-2, 1099, C2C View All Jobs Similar Jobs Lead Java Developer - New Jersey, NJ Sr Java Developer - Alpharetta, GA Java Developer/Full Stack Developer - Charlotte, NC Java Developer - Alpharetta, GA Java Full Stack Developer - Atlanta, GA Role: Java FS Developer Location: South San Francisco, CA Client: Gspann/ Twist Bioscience Job Description Position Overview: Twist is looking for an experienced Senior Full Stack Engineer to maintain and enhance their multi-repository e-commerce platform and internal tools. The ideal candidate is highly versatile, capable of working across different stacks, and experienced in building scalable applications within a modern microservices environment. Key Responsibilities Develop, enhance, and maintain frontend and backend systems across multiple repositories. Build responsive user interfaces using React and TypeScript primarily. Design, implement, and maintain RESTful APIs in Java, Python, and Node.js. Create and document APIs using Swagger/OpenAPI. Work with containerized applications using Docker and manage deployments on Kubernetes (EKS). Configure and maintain CI/CD pipelines (Drone CI). Monitor application performance and debug issues using logging and metrics tools. Integrate and maintain payment processing systems (e.g., Stripe). Collaborate with cross-functional teams including Product, Design, and DevOps. Manage codebases effectively using Git. Solid understanding of microservices architecture and system integrations. Preferred Skills And Experience Familiarity with Ruby on Rails is a plus. Hands-on experience with AWS services (S3, EKS, Cost Explorer, WAF, Bedrock). Knowledge of Salesforce APIs (SFDC) integration is preferred. Apply Now Equal Opportunity Employer MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract Home | About | Adaptive AI | Industries | Consulting | Contact Us © 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.