Support, configure, and extend workflow applications for federal customers.
Strengthen platform security guardrails, CI/CD, and infrastructure automation.
Deploy applications to on-premises and classified environments with Linux hardening.
The company supports workflow applications for federal and commercial customers, focusing on secure and AI-assisted development. The culture emphasizes mission impact, continuous improvement, and security-conscious engineering.
Own end-to-end deployment of autonomous systems in customer environments for mission success.
Analyze field feedback and implement monitoring tools to improve reliability and performance.
Train customer teams and translate technical concepts into actionable workflows.
Field AI develops autonomous systems and Field Foundational Models for deploying robots in unstructured, real-world environments. The company is a close-knit team of experts from leading AI and robotics organizations, focused on bold, high-impact innovation.
Own the technical assessment, hardening, testing, and modernization of a government-provided SDN baseline.
Design and implement secure, maintainable changes while developing robust unit, integration, and end-to-end tests.
Partner with platform engineers on container readiness, CI/CD, and security scanning while debugging complex network behavior.
Defense Unicorns delivers mission value by streamlining software delivery for defense and civil agencies. The team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.
Lead and manage a systems engineering team responsible for designing, building, and scaling global cloud infrastructure across Azure, AWS, and GCP.
Drive deployment, management, and support of Canadian sovereign cloud systems running on GCP while contributing to global cloud initiatives.
Provide technical leadership, set standards, and collaborate with product and program teams to define roadmaps and ensure high availability.
ServiceNow is the AI control tower for business reinvention, bringing together any AI, any data, and any workflow. We help 85% of the Fortune 500 work smarter, faster, and better, and we're building an AI-native culture where technology and talent are unstoppable together.
Own the most challenging customer technical problems with deep-dive troubleshooting and analysis.
Act as the customer's advocate to ensure their issues influence product and engineering roadmaps.
Author technical content and lead internal tooling development with a strong AI focus.
Wiz provides an AI-powered cloud and application security platform that connects code, cloud, and runtime. Trusted by over 65% of the Fortune 100, the company values world-class talent and fosters a creative, high-impact culture.
Own best practices for managing production infrastructure, including provisioning, scaling, configuration, capacity planning, and monitoring.
Build and maintain Kubernetes infrastructure at scale alongside Terraform-provisioned cloud resources.
Write custom automation and tooling in Go to reduce manual work and eliminate operational risk.
Turnkey is building the infrastructure for the autonomous economy, providing programmable guardrails that enable organizations to operate with autonomy and control. Founded by the team behind Coinbase Custody, it is a deeply technical, low-ego, high-agency team of experts in cryptography, security, and systems.
Own and drive projects end-to-end, from design and coding to testing and rollout.
Work across the full stack to deliver secure, scalable solutions on the Core Platform.
Mentor teammates and maintain high standards for code quality through reviews and pairing.
Huntress is a remote-first cybersecurity company founded in 2015 by former NSA cyber operators, making enterprise-grade security accessible to businesses of all sizes. The company secures over 5 million endpoints and 15 million identities worldwide, with a culture focused on impactful work and customer commitment.
Develop and operate highly available systems software for large-scale network operations.
Collaborate with international engineering teams across the full software lifecycle.
Improve engineering practices and mentor less experienced engineers.
The company builds and operates high-reliability software for globally distributed network infrastructure. It fosters a collaborative, international culture that values technical curiosity and continuous improvement.
Automate quality control for training data produced by companies using the platform's infrastructure.
Build QC systems grounded in human judgment, define quality standards, and design experiments.
Partner with data vendors to debug quality issues and feed learnings back into infrastructure tools.
The company is a fast-growing AI infrastructure startup focused on reinforcement learning environments and post-training data. With a roughly 15-person engineering team of published researchers and experienced AI practitioners, the culture is fast-paced, unstructured, and research-driven.
Design, develop, and maintain high-quality microservices and APIs using Python and Go at significant scale.
Contribute to distributed systems, databases, DevOps, security, and observability practices across a global technology ecosystem.
Collaborate with a globally distributed engineering team and participate in in-person events approximately twice per year.
The company is a global technology organization building scalable microservices and APIs that support millions of clients and critical infrastructure. It operates a remote-first culture with a globally distributed engineering team, emphasizing collaboration, continuous learning, and engineering excellence.