Top DevOps & Platform Engineering Jobs in Boston, MA

As a Senior Site Reliability Engineer at Regrello, you'll shape the developer platform, collaborate with customers, and ensure the reliability and security of infrastructure and applications.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.

Lead a Cloud Enablement team focused on building scalable, reliable distributed systems and cloud capabilities, providing guidance and mentorship while driving operational excellence and team growth.

Lead and scale reliability and DevOps/SRE practices for Grafana Cloud k6: define SLIs/SLOs, incident response, observability, runbooks, and guide architecture and cross-team engineering to improve availability and operational ownership.

Maintain and improve the internal developer platform, observability stack, and AWS infrastructure (Terraform); manage Kubernetes at scale; troubleshoot distributed systems; drive security, reliability, cost and performance improvements; partner with product teams and participate in on-call support.

Lead automation development at Vantage Data Centers, manage automation developers, oversee project delivery, ensure quality and standards, collaborate with various teams, and troubleshoot automation issues.

Lead implementation of internal tech and automation: build integrations, API/webhook connectors, and AI/ML tools to optimize marketing, sales, and operations. Own data pipelines, deploy automations (Zapier, n8n, Make), and align technical infrastructure with growth and revenue goals across cross-functional teams.

Lead technical vision and execution for microservices and platform components. Design and deliver high-complexity cloud-native solutions, mentor engineers, perform code reviews, and ensure CI/CD, observability, and scalable architectures are implemented across teams.

Lead and mentor a software engineering team building distributed, high-performance SaaS for digital forensics. Drive architecture, deploy and operate services on Kubernetes, adopt AI responsibly across the SDLC, and collaborate with Product and UX to deliver secure, scalable solutions.

Lead the design and implementation of observability, SLO/SLA frameworks, and AI-enabled infrastructure automation. Architect scalable AWS infrastructure, improve incident management and on-call practices, and drive organization-wide adoption of telemetry and reliability standards.