Design, build, and ship backend services for AI-powered service experiences in Jira Service Management.
Own complex tasks end-to-end, from technical design through rollout, validation, and post-launch improvements.
Collaborate across functions to turn ambiguous customer problems into scalable backend and ML-supported solutions.
Atlassian builds software products that help teams collaborate and unleash their potential. With a global team and a culture that values unique contributions and diversity, Atlassian offers flexible work options to support its employees.
Build and scale the core infrastructure powering Vectara's AI agent platform.
Lead backend services, CI/CD, and observability initiatives with a focus on reliability.
Mentor team members and champion best practices in code quality and DevOps.
Vectara is an AI agent platform that builds secure, scalable infrastructure for AI-powered search and assistants. The team values engineering excellence, automation, and collaboration as they scale their platform.
Own the design and evolution of architecture for a critical product area, shaping scalability, security, and maintainability.
Lead transformational work on real-time matching, event-driven services, and CI/CD and observability foundations.
Mentor engineers and partner with ML data scientists to turn complex identity problems into working products.
Veriff is an identity verification platform that uses ML-powered image recognition and facial analysis to verify people in real time. The company has a diverse team across the US, UK, Spain, and Estonia, with backing from major investors and a culture focused on trust and positive impact.
Build and operate shared infrastructure for AI platform capabilities, including model gateways and cloud AI services.
Shape product strategy and execution across disciplines, developing scalable and performant solutions.
Mentor and coach engineers, setting standards for code architecture and engineering processes.
Aledade is a healthcare technology company that empowers independent primary care practices through value-based care and accountable care organizations. The company is dedicated to improving health outcomes and supporting communities, with a collaborative and innovative culture.
Design, build, test, and deploy backend features across payments, fraud, compliance, and user management
Integrate with banks, card networks, and third-party services, handling the edge cases money movement demands
Write and review technical designs and participate in architecture discussions for distributed, event-driven systems
Astra builds mission-critical infrastructure for moving money at scale, processing billions in annual transaction volume. They are a small, remote-first team with a culture of thoughtful collaboration and initiative.
Own end-to-end delivery of agentic platform features, from design to production.
Architect and scale the runtime that powers AI agents across the company.
Mentor engineers and drive reliability, cost, and security in production.
Alan is a health insurance and prevention platform that integrates insurance, prevention, and care into a single user experience. With over 1,000 employees, 1M+ members, and 40K+ partner companies, the company fosters a culture of ownership, speed, and collaboration.
Build foundational platform services for AI products, including user management, authentication, permissions, and resource access.
Own full-stack features end to end, from backend APIs to customer-facing dashboards and internal tools.
Work remotely with technical autonomy, collaborating across engineering and product teams on scalable systems.
They build foundational systems that power a suite of innovative AI products used by millions worldwide. They are a high-growth, AI-first engineering organization with an autonomous, low-bureaucracy culture.
Build and operate backend services that move data through GrowthLoop, from warehouse queries to downstream systems.
Improve event handling, query execution, and delivery, and support the product’s move toward real-time capabilities.
Participate in on-call rotation, fix reliability issues, and build shared tools that reduce repeated work.
GrowthLoop built the first composable CDP, helping marketers leverage live, first-party data from their cloud warehouse to launch highly targeted campaigns. It is a founder-led, remote-first startup with a flat, high-agency culture, partnering with brands like Google, Costco, and Ford.
Design and oversee data architecture and pipelines for structured and unstructured data.
Build automated data transformation tools using ML and data-engineering techniques.
Define evaluation metrics and build agentic evaluation pipelines for AI workflows.
ServiceNow provides an AI platform for business reinvention, helping 85% of the Fortune 500 work smarter. The company fosters an AI-native culture where technology and talent combine to put AI to work for people.
Design and implement distributed scheduling and workflow systems.
Build scalable, reliable platform services and storage abstractions.
Lead complex projects from design through production delivery and provide technical mentorship.
Voleon applies state-of-the-art AI and machine learning techniques to real-world problems in finance. We are a multibillion-dollar asset manager with a collegial, expert-driven culture.
Design and build robust Python services and applications that serve high volumes of production traffic.
Own software throughout its lifecycle, from development to deployment and operation using self-service CI/CD and observability.
Collaborate with product, design, data, and engineering teams to deliver reliable software and improve engineering practices.
YouGov is an international online research data and analytics technology group that helps brands and agencies understand consumer opinion through an ever-growing source of connected data. With operations across the UK, the Americas, Europe, the Middle East, India, and Asia Pacific, the company is driven by a culture of being fast, fearless, innovative, and guided by accuracy and ethics.
Design, build, and maintain resilient backend services and asynchronous workflows for complex insurance lifecycles and document intelligence.
Collaborate closely with product and domain teams to translate business needs into technical reality, critically analyzing requirements and advocating for simpler solutions.
Own services end-to-end, from schema design and automated testing through deployment, observability, and production troubleshooting.
Bevaya builds high-reliability, AI-first workflow automation engines for the insurance sector. It is a progressive and open-minded workplace that values smart, passionate people and is an Equal Opportunity Employer.
Design and build the gateway, runtime, and evals services for AI workloads at scale.
Own technical decisions from design to launch, including identity, quota, and failover controls.
Partner with security and infrastructure teams to set guardrails for agentic workloads.
We provide clear, predictable pay-over-time financial products with no hidden fees. We are a remote-first company with an engineering culture centered on blameless postmortems and detailed technical design.
Design and operate systems that transform high volumes of identity data with correctness and freshness.
Contribute to the technical vision for world-class data infrastructure powering engineering and AI teams.
Establish SLOs, observability, and operational tooling to catch failures before they reach customers.
Lumos builds the industry's first Autonomous Identity Platform, connecting apps, identities, and data to manage access risk. With ~130 employees and backing from top investors, the company values ownership, curiosity, and trust.
Design and build shared platform capabilities, owning architecture and delivery of reusable backend services and integrations.
Direct implementation by writing specifications and delegating to AI agents, stepping into code when complexity demands.
Engineer for reuse, compatibility, and testability, owning testing strategy and building reliability and observability into the platform.
ComPsych is the worldwide leader in organizational mental health, well-being, and absence management, dedicated to igniting human potential in workplaces across the globe. With over 40 years of experience, they serve more than 75,000 customers worldwide, touching over 160 million lives, and 40% of the Fortune 500 choose them for their mental health needs.
As a Senior Staff Engineer, you'll lead the architecture of Optimizely Analytics' query compilation engine and NetScript DSL.
You'll drive technical excellence, collaborating with Product and UX teams to deliver scalable features.
You'll mentor engineers and address complex challenges like query optimization and fault tolerance.
Optimizely provides AI-powered marketing tools including content creation, CMS, and experimentation platforms. With 1,600+ employees across 12 global offices, the company fosters a collaborative and human-centric culture.
Own end-to-end delivery of backend features and data platforms from design to production.
Build scalable Python web services and REST APIs using FastAPI, Flask, or Quart.
Optimize distributed data pipelines with PySpark and SQL for large-scale processing.
Resilinc is a supply chain risk management company that builds agentic AI to help global enterprises predict disruptions and take real-time action. The company is a fully remote, mission-led team with a collaborative, empowering culture and is backed by Vista Equity Partners.
Own Elicit's scholarly search and data platform, covering coverage, freshness, quality, and cost.
Build secure, rights-aware integrations for enterprise customers and content partners.
Ship features end-to-end across frontend, backend, and data with staged rollouts.
Elicit is an AI research agent that helps scientists and decision-makers find, synthesize, and understand research. We are a public benefit corporation with a small, AI-native engineering team focused on high-stakes evidence.
Design, develop, and maintain scalable backend services and APIs for policy management and enrollment workflows.
Collaborate with Product, Data Science, Legal, and engineering teams to translate requirements into technical solutions.
Implement monitoring, logging, and experimentation capabilities to ensure reliability and support data-driven decisions.
This partner company builds backend infrastructure that powers insurance and protection products across global markets with a growing engineering team. It offers remote work flexibility, cross-functional collaboration, and an inclusive workplace.