Top Hybrid DevOps & Platform Engineering Jobs

The role involves managing Snowflake operations, ensuring database performance, security, and cost-efficiency while collaborating with other teams to implement best practices and support governance.

The Engineering Leader will oversee infrastructure and platform teams, managing projects, mentoring engineers, and defining technical strategies for scalable systems.

The Salesforce DevOps Engineer will design and implement CI/CD pipelines, manage Salesforce releases, ensure secure deployments, and collaborate with cross-functional teams to enhance operational efficiency.

Develop and maintain scalable web applications using React and FastAPI, implement DevOps practices, and collaborate on AI/ML projects.

The Forward Deployed Implementation Engineer executes platform deployments, onboard log sources, validates pipelines, provides customer training, and troubleshoots issues in cybersecurity environments.

The Sr. DevSecOps Engineer will design and implement secure cloud-native infrastructure for government programs, driving DevSecOps roadmaps, automation, and security compliance. Responsibilities include mentoring teams, integrating security in pipelines, and leading architecture reviews.

As an Infrastructure Intern, you will support platform engineering and cloud infrastructure projects, working with experienced engineers on AI systems, Kubernetes, and automation tools, contributing to production-impacting initiatives.

The Senior Enterprise IT Engineer will manage IT systems, drive automation, secure environments, provide support across platforms, and collaborate cross-functionally.

Interns will own ML platform projects to improve dataset creation, distributed training, and model evaluation pipelines. Tasks include profiling and benchmarking, enhancing observability, integrating MLOps tools, writing integration tests, and documenting and presenting results to improve reliability, scalability, and developer productivity.

The Platform Engineer will build and maintain the Clinical AI Platform, lead MLOps initiatives, develop infrastructure solutions, and ensure compliance with industry regulations while collaborating with product teams.