Top DevOps & Platform Engineering Jobs in Boston, MA

Own partner integrations end-to-end: design architectures, debug code, unblock deployments, create reusable templates and automation, improve support systems, and surface product feedback to accelerate adoption.

Lead and scale Sully.ai's multi-cloud platform by owning provisioning, reliability, and automated deployments. Implement GitOps and IaC, standardize developer tooling and CI/CD, optimize scalability and costs for AI workloads, and deliver measurable platform and engineering efficiency improvements.

Design, build, and operate scalable, secure AWS infrastructure and platform components (Kubernetes/EKS, CI/CD, Cloudflare). Improve observability, reliability (SLIs/SLOs), automation, and incident response while mentoring engineers and reducing operational toil.

The role involves managing Oracle Cloud environments, implementing CI/CD pipelines, automating processes, monitoring platform health, and ensuring compliance with FedRAMP for federal HCM systems.

Lead and mentor a distributed infrastructure team to maintain and scale Airship's GCP cloud environment. Drive CI/CD, observability, automation, cost optimization, security, incident response, and infrastructure projects while collaborating cross-functionally and participating in hiring.

As a DevOps Manager, you'll lead a team focusing on quality, automation, and engineering capabilities for cloud environments, while enhancing operational effectiveness and customer satisfaction.

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.

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 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.