Top Hybrid DevOps & Platform Engineering Jobs

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.

Lead developer-experience improvements for the Embedded Payroll platform by designing APIs, building developer tools and libraries, engaging with internal and external developers, shipping well-tested backend code, mentoring engineers, and promoting reliability, observability, and backwards compatibility.

Support Global IAM by developing automation, Python ETLs, microservices, and containerized deployments. Build data-driven solutions, create visualizations, implement CI/CD, and ensure testing and performance for scalable identity/data systems.

Lead engineering teams to design and deliver cloud-native, HIPAA-compliant data integration solutions for health systems. Define service offerings, improve resiliency and transparency of pipelines, integrate with EMRs using healthcare and genomic data standards, and mentor technical teams.

The role involves automating software development processes, managing deployments, improving CI/CD pipelines, and maintaining AWS environments using various tools.

Design, build, and optimize large-scale caching systems, develop high-performance proxies, manage clusters, and enhance observability while collaborating with teams to integrate caching solutions.

Lead and develop Infrastructure as Code (IaC) modules, implement GitOps workflows, and empower developers with self-service capabilities. Oversee integration with tools and mentor engineers on best practices.

The role involves leading DevOps initiatives, cloud migration, Generative AI platform development, and applying advanced engineering practices in automation, CI/CD, and infrastructure as code in a collaborative environment.

The Principal Engineer will lead the design and strategy of the Data Private Cloud, focusing on technical architecture, platform engineering, and ensuring compliance and security across the data ecosystem.

Join the cloud infrastructure and reliability engineering team to improve production reliability, observability, and operability. Implement SRE practices (SLIs/SLOs, error budgets), build automation and tooling, evolve AWS infrastructure with Terraform, contribute code, participate in incident response and post-incident reviews, and document runbooks and standards while collaborating with product and engineering teams.

Join the cloud infrastructure and reliability engineering team to improve production reliability, build observability and automation, evolve AWS infrastructure via IaC, participate in incident response, define SLIs/SLOs, and collaborate with product and engineering teams to design and operate reliable services.

Improve and protect production reliability and performance of AWS-based systems. Implement SRE practices (SLIs/SLOs, error budgets), build observability, automate infrastructure with Terraform, contribute code and tooling, participate in incident response, and document runbooks and best practices.

Lead design and implementation of LLM observability features: prototype and scale product capabilities for tracing, evaluating, and debugging generative AI systems. Work cross-functionally to influence architecture, mentor engineers, prioritize customer pain points, and drive product and engineering decisions for reliable, high-performance AI observability.

Lead Monitoring & Operations Software Engineer responsible for designing and implementing monitoring, alerting, and automation to improve reliability. Lead multiple projects, mentor junior engineers, create runbooks/alarms, develop automation and tests, participate in on-call rotations, and document designs to support microservices and enterprise applications.

Oversee edge device management, automate deployment processes, and maintain infrastructure while collaborating with cross-functional teams and mentoring engineers.