Design, build, and operate scalable, secure microservices powering Cyderes' security platform with minimal oversight.
Deploy to AWS, GCP, or Azure with Terraform and run containerized workloads on Docker and Kubernetes.
Improve automated testing and CI/CD, review code, and mentor teammates while keeping security in mind.
Cyderes builds practical Identity & Access Management (IAM), Exposure Management, and risk programs, providing Managed Detection & Response (MDR) powered by its Meridian entity fabric. It is a Great Place to Work-Certified global team that helps organizations stop active threats fast with people, platforms, and perspectives.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
Design, develop, and maintain Golang and React/TypeScript applications for a data-intensive platform.
Take end-to-end ownership of features, from ideation through production and continuous improvement.
Collaborate with stakeholders to deliver reliable, scalable solutions and improve engineering standards.
They build and evolve a data-intensive platform serving major global organizations and financial institutions. The organization is a distributed team of about 30 technologists working in small, cross-functional teams with an emphasis on ownership and continuous improvement.
Lead development of scalable Salesforce applications for public health operations.
Mentor junior developers and champion clean, testable code and Agile practices.
Collaborate with architects and analysts to implement secure, user-centered solutions.
This organization delivers Salesforce-based technology solutions for governmental public health agencies. It fosters a mission-driven, collaborative, and people-first culture with a focus on impactful, sustainable implementations.
Design, build, and maintain scalable, secure, and reliable cloud infrastructure primarily using AWS.
Develop infrastructure as code with AWS CDK, Terraform, or Pulumi, and build internal platform tools and self-service workflows.
Improve system reliability, security, and observability while collaborating with distributed engineering teams.
They build a modern email infrastructure platform designed to improve the developer experience. They are a fast-growing, remote-first team that values autonomy, technical excellence, and continuous improvement.
You will own technical delivery across federal deployments, from first prototype to stable production.
You will embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models.
You will deploy and operate models in self-hosted, air-gapped, and edge environments, guiding stakeholders on operational value.
Deepgram is a leading Voice AI platform providing real-time APIs for speech-to-text, text-to-speech, and voice agents. With 200,000+ developers and 1,300+ organizations, Deepgram operates with an AI-first mindset and a fast-paced, innovative culture.
Own client engagements from pre-sales demonstrations through architecture, integration, implementation, and post-launch support.
Design and build production AI agent systems that connect with healthcare platforms such as EHRs, claims systems, and CRMs.
Lead technical working sessions and present solutions to executive and technical stakeholders.
This healthcare AI company deploys production AI agent systems for health systems, providers, and life sciences organizations. The team focuses on delivering client engagements and bringing field insights back to its platform.
Bring new open-source models into production with a focus on latency and throughput.
Optimize inference systems including batching, KV cache, speculative decoding, and quantization.
Design, deploy, and operate heterogeneous clusters across infrastructure vendors to improve reliability and cost efficiency.
They are an early-stage AI infrastructure startup making large language model inference faster and more cost-efficient. The small team focuses on low-level performance engineering and AI-assisted workflows, with a strong emphasis on technical fundamentals.
Own the backend and front-end services behind the sign-up-to-purchase funnel, from onboarding to reactivation.
Build event-driven lifecycle systems that track account states and trigger automated actions in real time.
Run rigorous experiments, write your own SQL in Snowflake, and use AI agents to accelerate funnel analysis.
Nivoda builds the digital operating system for the global jewellery industry, connecting suppliers with retailers in 70+ countries. They power over $300M in annual transactions and foster a collaborative, high-growth culture with real ownership.
Develop core features for prompt orchestration, dashboards, analytics, and telephony integrations.
Build scalable full-stack systems, including polished interfaces, robust APIs, and deployment workflows.
Own projects from architecture and implementation through deployment and ongoing iteration.
This YC-backed startup builds AI voice technology that helps businesses automate voice conversations. The company has a fast-paced, collaborative culture where engineers take ownership of projects.