Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

Designs and delivers Google Cloud, data modernization, and generative AI solutions for clients. Builds agentic workflows, retrieval-augmented generation systems, prompt engineering approaches, LLM integrations, vector database solutions, and AI-powered conversational applications. Develops Python components, applies LLM evaluation and LLMOps practices, translates business requirements into technical designs, manages workstreams, collaborates with stakeholders, and mentors junior team members.

Own Flow’s AWS platform, infrastructure as code, CI/CD delivery pipeline, production PostgreSQL database, isolated customer execution plane, and AI runtime operations. Responsibilities include secure deployments, gated releases, migrations, backups, failover, cost attribution, evaluation pipelines, SLOs, on-call support, feature development, and mentoring. The role requires strong TypeScript, AWS, containerization, GitHub Actions, PostgreSQL, AI/ML integration, and enterprise cloud-governance experience.

Leads teams responsible for Inventory software, Linux platform engineering, and software build and release systems. Sets technical direction, oversees reliability, security, quality, CI/CD, automation, and software delivery. Partners cross-functionally to improve platform integration and engineering processes, mentors employees, manages performance, contributes technically, and participates in an on-call rotation for business-critical systems.

Design, build, and operate multi-region, multi-cloud network infrastructure across AWS, GCP, and Azure. Own cloud-to-cloud and customer connectivity, troubleshoot latency/packet-loss via pcap and path analysis, set technical direction for network expansion, improve cross-region connectivity, and identify network cost and efficiency improvements while participating in incident response and on-call rotation.

Designs and troubleshoots cloud, SRE, and DevOps solutions across customer environments. Responsibilities include diagnosing complex systems, debugging code, advising customers, creating infrastructure-as-code patterns, documenting solutions, mentoring engineers, handling technical escalations, and supporting multiple projects. The role requires broad cloud and monitoring experience, strong programming knowledge, consulting or leadership skills, and familiarity with Kubernetes, service meshes, networking, serverless technologies, and configuration management.

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.

Build and maintain AWS cloud cost attribution, governance, optimization, and FinOps automation. Develop CloudZero dashboards, anomaly detection, savings workflows, self-service tools, unit-cost metrics, and AI cost controls. Partner with Engineering, Product, Finance, and FinOps stakeholders on budgeting, allocation, reporting, and cloud consumption decisions. Support production workloads, infrastructure automation, code reviews, incident response, and operational improvements using Python, Go, Bash, Terraform, and related technologies.

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.

Lead the technical vision and execution of Klaviyo’s organization-wide CI/CD platform. Responsibilities include architecting deployment and rollback pipelines, setting engineering and repository standards, building scalable developer tooling, integrating AI into testing and software delivery, advising engineering teams, conducting root-cause analysis, and ensuring platform reliability. The role requires hands-on technical leadership across backend and frontend systems, infrastructure automation, testing, and high-frequency deployments.