Design, implement, and manage scalable cloud infrastructure using Kubernetes and Pub/Sub.
Refactor systems for scalability, including transforming stateful components to stateless ones.
Drive platform reliability initiatives like alerting, health checking, and incident management.
Syllo is a unified litigation platform that empowers lawyers and paralegals to safely use language models and agentic AI throughout the litigation lifecycle. The company has gained enterprise customers including major law firms and corporations, and is quickly expanding with a focus on reducing litigation costs and improving access to justice.
Partner closely with product engineering squads to own production reliability for high-SLA customer environments.
Design and implement automation to scale reliability practices and define per-tenant SLOs and reliability models.
Serve as a primary escalation point for incidents, lead response and post-incident reviews, and improve alert quality.
Grafana Labs is the company behind Grafana Cloud, a fully managed observability platform trusted by over 10,000 organizations to ensure reliability and resolve incidents faster. We are a 100% remote company with team members across 40+ countries, backed by leading investors, and we foster a global collaborative culture and a passion for meaningful work.
Drive automation and modernize cloud infrastructure using AWS, Kubernetes, and infrastructure as code.
Design and implement enterprise-grade service mesh architectures and CI/CD pipelines.
Collaborate with cross-functional teams to align technical solutions with business and regulatory requirements.
Our partner is a technology company driving digital transformation through modern cloud infrastructure. They are a growing organization with a focus on secure, scalable solutions and engineering excellence.
Develop and operate cloud-based services that automate critical spacecraft operations and reduce complexity.
Build, maintain, and enhance automation, microservices, and cloud infrastructure for satellite operations.
Collaborate across teams to translate operational needs into effective technical solutions.
Our partner builds and operates satellite constellations and develops software for spacecraft operations. They have a mission-focused, collaborative culture with a strong emphasis on engineering excellence and team ownership.
Build and operate monitoring, tracing, alerting, and observability infrastructure for system reliability.
Drive platform security initiatives with preventative controls and resilient architecture.
Lead incident response and recovery, including root-cause analysis and preventative measures.
This role is with a partner company managing AI-powered products. They are a growing technology organization with a fully distributed US-based team and a collaborative culture focused on large-scale infrastructure and AI technology.
Own and scale cloud infrastructure including compute, networking, storage, and data systems.
Lead BYOC and private cloud deployments with infrastructure-as-code and GitOps foundations.
Establish reliability through service-level objectives, observability, and incident response processes.
A technology company builds a developer-focused platform with scalable cloud infrastructure. This is a remote-first opportunity with a small, autonomous engineering team operating in North America, LATAM, and Europe, offering high autonomy and ownership.
Own the design, resilience, and health of infrastructure across AWS and hybrid on-prem/Azure/GCP environments.
Execute disaster recovery, patching, and security/compliance controls across a large, multi-account, multi-platform estate.
Build CI/CD pipelines, automate to reduce toil, and serve as L2 escalation for infrastructure incidents.
HealthEdge offers AI-powered operational infrastructure for health insurance companies, guaranteeing an enduring financial edge in an increasingly competitive market. We're experiencing strong market momentum with a growing number of health plans choosing HealthEdge to modernize their operations and competing effectively, making this a pivotal moment to join and shape the future of healthcare technology.
Build and own the shared platform layer across critical systems, including AWS, Postgres, and CI/CD, to enable engineering teams to move faster.
Establish reusable patterns and conventions for infrastructure and application services, focusing on scalability, reliability, and developer experience.
Partner with product and engineering teams to understand needs and build platform capabilities that improve engineering velocity and operational efficiency.
Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs, recognizing that access to housing, food, and transportation is as critical as medical care. As a public benefit corporation and AI-enabled medical group with over 500 employees, we partner with community organizations to deliver whole-person care to 115 million Americans.
Lead customer workshops and design scalable platforms for cloud-native applications and AI workloads.
Drive cloud migration and modernization initiatives with reusable automation and platform capabilities.
Use AI coding assistants to accelerate solution delivery while ensuring security, quality, and governance.
AHEAD builds platforms for digital business by weaving together advances in cloud infrastructure, automation, and analytics to help enterprises deliver on digital transformation. The company fosters a culture of belonging where all perspectives are valued, and emphasizes collaboration, ownership, and continuous learning.
Lead the design and delivery of Azure landing zones, migrations, and AI agent platforms for enterprise clients.
Own the end-to-end technical solution, from assessment to production, while mentoring junior consultants.
Present technical decisions to client executives and enable client teams to operate independently.
AHEAD helps large enterprises assess, design, build, and migrate to the Microsoft Azure platform, and increasingly helps those same enterprises design, build, and run AI agent platforms. The company's culture is hands-on, collaborative, and focused on delivery leadership.