Design and build backend services using TypeScript and Node.js with reliable APIs.
Manage GCP infrastructure and CI/CD pipelines for secure cloud environments.
Implement access controls and observability to support data governance and platform reliability.
Our partner builds secure and reliable data platforms for scientific and technical stakeholders. The team is collaborative, distributed, and technically sophisticated, emphasizing continuous learning and broad ownership.
Own observability for critical product journeys, defining SLIs/SLOs and building metrics, dashboards, and alerts.
Act as first responder for production incidents, investigating signals and mitigating issues independently.
Work within a cross-functional squad of 6-8 engineers to improve reliability, monitoring, and incident response processes.
Feeld is a dating app creating a safer and more inclusive space for exploring relationships and sexuality. They have a distributed engineering team of around 50 people across Europe and the US, working in small autonomous squads.
Design, build, and maintain robust, scalable, and secure infrastructure systems supporting Laurel's AI-driven platform.
Manage and optimize cloud infrastructure (AWS and Azure), Kubernetes orchestration, and CI/CD pipelines to increase deployment frequency and reliability.
Implement comprehensive observability, monitoring, and alerting to maintain system health and partner with engineering teams to optimize performance and cost-efficiency.
Laurel is an AI Time platform for professional services firms, automating work time capture and connecting time data to business outcomes for clients like EY and Crowell & Moring. The company comprises top AI, product, and engineering talent, is VC-backed by Google Ventures and IVP, and fosters an inclusive, ambitious culture.
Design and maintain intelligent automation and reasoning layers for operational workflows using AI agents and workflow platforms.
Translate complex manual processes into scalable automation in partnership with operational experts.
Own automation projects end-to-end, from discovery through production deployment and continuous improvement.
Our partner is a growing international business focused on AI-powered automation for operational workflows. They foster a remote-first, fast-moving culture that encourages experimentation and continuous learning.
Deliver production-ready Temporal implementations by co-building workflows with customer and partner engineering teams.
Identify and remove early activation blockers and establish operational standards.
Define observability, reliability, and deployment strategies for production systems.
Temporal is an open source programming model that simplifies code, makes applications more reliable, and helps developers focus on delivering features faster. The company is mission-driven, building a team that values curiosity, drive, collaboration, genuineness, and humility.
Own and operate a production agentic AI platform on AWS, ensuring reliability and scaling.
Lead infrastructure automation and release management, driving best practices in security and compliance.
Collaborate with the platform team on agile ceremonies and proactively communicate status to stakeholders.
Inizio Evoke is a healthcare communications company dedicated to making health more human. As part of the larger Inizio network, it emphasizes a collaborative, inclusive culture where employees are encouraged to be their authentic selves.
Act as the technical bridge between product and customer deployments, translating business requirements into robust implementations.
Lead end-to-end production rollouts of AI workflows, including integrations, glue code, and monitoring.
Build reusable templates and deployment playbooks to make customer setups scalable and repeatable.
This company develops an AI-powered voice assistant platform for businesses. It is a seed-stage startup with a small, collaborative team focused on rapid iteration and customer success.
Support project delivery by building features, integrations, and fixes for active client projects.
Maintain production platforms through dependency upgrades, performance tuning, and security patching.
Handle incidents during business hours rotation, from triage and communication to postmortem and follow-up.
Labrynth builds AI-powered platforms that navigate complex regulations for heavily regulated industries like energy and government. They operate as a small, forward-deployed engineering organization with high-velocity teams embedded directly with clients.