Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

Deploy, configure, and optimize molecular modeling and informatics applications in customer cloud/HPC environments. Provide technical solutions, maintain scientific computing resources, support installations and integrations, troubleshoot production issues, and collaborate with product managers, scientists, and developers.

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.

Partner with Field and Product teams to design and implement LLM observability architectures, build proofs-of-concept, produce technical collateral, and advise customers to drive adoption and product feedback.

Lead the Core Platform organization for a cloud-native Unified Factory Platform, owning long-term architecture, scalability, reliability, security, data architecture, and team development. Hire and coach engineering leaders, set platform standards (APIs, observability, automation), drive SLAs and KPIs, and align roadmap with product, hardware, and executive stakeholders for global SaaS deployments.

Design, implement, and maintain scalable, secure cloud infrastructure with emphasis on AWS, Kubernetes, and Terraform. Build and operate CI/CD pipelines, automate provisioning/configuration, monitor performance, troubleshoot incidents, participate in on-call rotations, create runbooks and documentation, and collaborate cross-functionally to meet application and business requirements.

As a Senior DevOps Engineer at WHOOP, you will enhance application infrastructure to ensure high performance, scalability, and security while mentoring engineering teams.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Lead design, implementation, and operation of cloud platform services to enable self-service IaC, secrets management (Vault), CI/CD maturity (GitHub Actions, Concourse), AWS provisioning, and AI infrastructure governance (Amazon Bedrock). Own delivery of platform capabilities, enforce policy-as-code (Sentinel/Semgrep), mentor engineers, participate in on-call, and collaborate cross-team to improve reliability, security, and developer experience.

Lead design and delivery of scalable frontend and backend systems, define technical standards (CI/CD, testing), drive observability and SRE practices, mentor engineers, coordinate cross-team initiatives, and ensure operational security and high-quality releases for a new product launch.

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

As a Staff Site Reliability Engineer, you'll oversee Zscaler production data center services, optimize code, and ensure cloud service availability and performance. Collaborate with cross-functional teams to improve processes and resolve escalated issues.

The Platform Engineer IV will act as a MuleSoft SME, responsible for designing, developing, and implementing software solutions, mentoring junior engineers, and collaborating across teams to deliver quality outcomes.