Integration Engineer
This Integration Engineer role focuses on connecting complex systems to build an Agentic Automation Platform for enterprises, moving beyond current RPA capabilities. Key responsibilities involve ensuring reliable integration of third-party systems, managing data correctness, and operating within an AI-first, iterative development environment. The ideal candidate is a low-ego, growth-minded collaborator comfortable navigating ambiguity and delivering measurable customer value.
Backend Engineer
This Backend Engineer role involves designing and building clean, testable, and efficient backend systems and architecting scalable APIs for high-trust environments. The engineer will be expected to bring strong opinions on testing and quality while tackling complex product challenges with a user-first mindset. The position is fully remote and the company values potential and diverse perspectives over specific stack experience.
Forward Deployed Engineer
The Forward Deployed Engineer works directly with leading AI customers to understand their technical challenges and deploy end-to-end solutions that impact model performance. Responsibilities include rapidly prototyping custom tools, designing effective solutions, and contributing to architectural decisions for high-impact deployments. This role combines deep engineering work with direct customer engagement in a fast-changing environment.
Staff Forward Deployed Engineer
The Staff Forward Deployed Engineer will define and drive the technical strategy for delivering engineered solutions to Handshake's most strategic customers, including leading AI labs. This role involves acting as a trusted technical partner, solving hard deployment challenges, and owning the vision for scaling forward-deployed engineering as a function. The engineer will influence product direction and platform architecture while mentoring junior staff and establishing engineering best practices.
Senior Forward Deployed Engineer
The Senior Forward Deployed Engineer acts as a technical leader interfacing between engineering and strategic customers, especially leading AI labs. This role involves owning the entire lifecycle of high-impact deployments, from scoping requirements to architecting and scaling solutions that enhance customer workflows and model performance. The engineer will also be responsible for mentoring peers and establishing best practices for repeatable deployment patterns.
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Senior Full-Stack Engineer Growth & Transformation
The Red Platform team is seeking a Senior Full Stack Software Engineer to architect and evolve their personalization and data platform using Go microservices, TypeScript, and Python-based AI agents. Key responsibilities include leading technical initiatives, mentoring engineers, driving architectural decisions, and leveraging modern AI-assisted development practices. This role requires strong technical leadership to build highly scalable, secure, and maintainable features while owning end-to-end delivery.
Full-Stack Engineer Growth & Transformation
The Red Platform team seeks a Full Stack Software Engineer to build and scale a personalization and data platform using Go microservices, TypeScript applications, and Python-based AI agents. Responsibilities include developing user interfaces with React, building high-performance backend APIs, owning end-to-end feature delivery, and contributing to architectural decisions. Candidates should have 3+ years of experience, strong proficiency in TypeScript, and experience with Go and React within an agile, collaborative environment.
Senior Software Engineer, Back-end Focus
As a Senior Software Engineer at Kin, you will be responsible for developing core products and features within a Ruby environment, utilizing Typescript for front-ends and applying Scrum methodologies. Key responsibilities include writing clean, efficient code, driving architectural tasks, and providing mentorship to junior engineers. This role requires a track record of shipping complex software projects and the ability to collaborate cross-functionally with Product and QA teams.
Software Engineer Java / Kotlin
The role involves working in the Transaction Monitoring Squad to deliver an end-to-end fraud detection solution using technologies like Java, Kotlin, and React on public cloud platforms (AWS/GCP). Key responsibilities include writing high-quality, tested code, owning delivery end-to-end, and participating in architectural decisions while mentoring junior engineers. The engineer will collaborate closely with Product Owners, Engineers, and Data Scientists to implement solutions that empower businesses to eliminate financial crime.
Fuse Finance - DevOps Engineer
Fuse is seeking a Senior DevOps Engineer to own the availability, performance, and security of their AWS-based platform, collaborating closely with engineering leads. Key responsibilities include designing scalable AWS architectures, managing security via patching and secret management, and building CI/CD pipelines using tools like Terraform and GitHub Actions. The role also involves setting up monitoring, leading vulnerability assessments, and mentoring junior staff within a core team environment.
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Associate Software Engineer
Jerry is seeking an Associate Software Engineer to join their team in the SF area to help scale their AI-powered AllCar™ app from 5M to 50M users. Responsibilities include writing production code quickly across various engineering pods, utilizing a modern stack including React, Node, and AWS. The role emphasizes rapid growth based on delivery and continuous learning within a mission-driven environment.
Associate Software Engineer
Jerry is building an AI-powered AllCar™ app to simplify car ownership, including insurance and maintenance. The Associate Software Engineer will join an engineering pod, contributing to production code within weeks. The role requires a Bachelor's degree and offers significant impact and growth opportunities within a high-growth startup environment located in the SF area, though this specific posting lists a remote work location.
Implementation Engineer
The Implementation Engineer will serve as the primary point of contact for healthcare organization customers, guiding them through onboarding, integration, and ongoing technical support for Metriport's data intelligence platform. Key responsibilities include conducting discovery calls, troubleshooting implementation issues, managing APIs and integrations, and ensuring customers derive value post-onboarding. This role requires a strong technical background, an entrepreneurial mindset, and a commitment to delivering results quickly.
Forward Deployed Engineer
Metriport is seeking a Forward Deployed Engineer to serve as the primary technical point of contact for healthcare customers, focusing on onboarding, integration, and ongoing support. This role requires a hacker mindset and strong ownership to quickly deliver value by troubleshooting issues and managing customer requirements in collaboration with engineering teams. Candidates must have 3+ years of experience with a full-stack background in React, TypeScript, and Node.js, and must be based in or willing to relocate to San Francisco for required onsite work.
Senior Full-Stack Engineer
Giga is seeking a Senior Fullstack Engineer to own features end-to-end, building the interfaces customers use to configure, monitor, and interact with real-time AI agents. Responsibilities include developing APIs, data models, and customer-facing interfaces while collaborating closely with design and product teams. The role requires balancing speed with product polish, involving work across the entire stack from database schema design to UI implementation.
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Senior Backend Infrastructure Engineer
Giga is seeking a Senior Backend Infrastructure Engineer to build and maintain the foundational platform powering their real-time AI agents. This role involves writing application code focused on deployment systems, observability, and data infrastructure, serving other engineers as customers. The successful candidate will own critical systems end-to-end, ensuring platform reliability and team velocity.
Growth Monetization Engineer (Node.js) - Leaply
Leaply is hiring a Founding Growth Monetization Engineer to build the scalable financial backbone of the company, focusing on payments and operations infrastructure using Node.js and cloud technologies. Key responsibilities include owning the Payments Domain, designing resilient payment infrastructure, building data pipelines (BigQuery), and acting as a cross-functional partner to drive revenue. This role requires 3+ years of backend experience and a strong focus on business reliability metrics, offering high autonomy within a fast-growing startup ecosystem.
Staff Software Engineer
The Staff Software Engineer will architect, design, and implement scalable full-stack solutions using React, Typescript, and Node.js, focusing heavily on database optimization with Postgres. Key responsibilities include contributing to system architecture decisions, developing responsive user interfaces, and leading/mentoring other team members. This role requires extensive experience within the specified tech stack and a commitment to collaborating with cross-functional teams in an agile environment.
QA Engineer (6-month Fixed Term)
Nova Credit is hiring a remote QA Engineer for a 6-month contract-to-hire role to own end-to-end testing processes for software and analytical product features. Key responsibilities include driving quality assurance, developing test automation to reduce cycle time, and partnering closely with engineering teams. The ideal candidate needs 5+ years of experience, strong SQL skills, and experience with monitoring tools like DataDog, aiming to make measurable impact quickly.
Software Engineer Intern (summer 2026)
Cloudflare is seeking a Software Engineer Intern for their Lisbon team to contribute to the next generation of internal data products within the Data Intelligence & Analytics team. The intern will focus on learning to build scalable, reliable services and backends, delivering new features, and maintaining data pipelines. This role involves gaining hands-on experience across the full development lifecycle and exploring modern AI infrastructure, including vector databases and Workers AI.