Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

Leads engineering teams responsible for Datadog Agent developer experience, build systems, correctness, performance benchmarking, and software supply-chain security. Evolves SDLC practices for a complex multi-language, multi-platform open-source project, including AI coding enablement, CI/CD, build infrastructure, testing, and reliability. Hires, mentors, and develops engineering managers and staff engineers across global teams while balancing velocity, security, and long-term platform investments.

Lead a team of full-stack engineers building Chewy’s engineering platforms and scalable development and testing environments. Recruit, mentor, and manage engineers; guide technical decisions; prioritize investments and roadmaps; review implementations; promote engineering, testing, Agile, and deployment best practices; and collaborate across technical and business organizations.

Owns global Windows endpoint management for approximately 50,000 devices, including Intune and SCCM architecture, provisioning, patching, security hardening, compliance, application packaging, and lifecycle management. Leads cloud modernization, PowerShell automation, CIS and Defender for Endpoint initiatives, reporting, governance, and incident response. Coordinates offshore contractors, establishes operational standards, mentors technical staff, and partners with security and business stakeholders to maintain a resilient, compliant endpoint environment.

Designs, deploys, configures, and troubleshoots AWS cloud and network infrastructure for client engagements. Responsibilities include cloud migrations, security controls, firewall configuration, architecture design, technical documentation, and translating client requirements into scalable solutions. The role also manages workstreams, reviews junior team members’ deliverables, provides mentorship, and maintains client relationships through technical support and status communication.

Build and operate scalable cloud platform capabilities, infrastructure-as-code workflows, secrets management, CI/CD systems, AWS self-service provisioning, and AI infrastructure governance. Lead multi-sprint platform initiatives, strengthen security and reliability guardrails, improve developer enablement, participate in incident response, and mentor engineers. Collaborate across Cloud Infrastructure, SRE, DevEx, and product engineering teams while using AI-assisted development tools to accelerate automation and platform delivery.

Leads full-stack and DevOps engineering efforts across distributed microservices, cloud-based systems, APIs, databases, and containerized platforms. Provides technical direction, mentors engineers, establishes development standards, partners with architects and product managers, improves system performance, reduces technical debt, and influences technology strategy. The role requires expertise in cloud platforms, CI/CD, infrastructure as code, automated testing, observability, and modern programming languages.

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.

Designs and owns scalable CI/CD pipelines, distributed build and test infrastructure, release automation, and engineering workflows. The role improves pipeline reliability, performance, observability, test parallelization, and release quality across multiple teams. Responsibilities include troubleshooting complex infrastructure failures, evolving branching and versioning strategies, integrating quality gates, leading technical initiatives, mentoring engineers, and applying validated AI-assisted engineering workflows.

Build and operate reliable cloud infrastructure, developer platforms, CI/CD systems, observability, and production workloads. Support applications, data systems, ML pipelines, and AI workloads across development, staging, and production. Establish SLOs, monitoring, incident response, automation, infrastructure-as-code practices, and operational standards. Collaborate with Product Engineering, Data Engineering, Data Science, and Security while mentoring engineers and participating in support rotations.

Build and maintain platform tools, infrastructure, and automation that enable reliable software delivery at scale. Develop C# and .NET Core solutions, manage Kubernetes environments, implement Helm and GitOps deployment practices, and support distributed microservice systems. Troubleshoot complex infrastructure issues, improve observability and performance, collaborate with engineering teams, conduct code reviews, and mentor engineers.