Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

Administers the GRS Data Marketplace platform, ensuring operational health, reliability, availability, and scalability. Responsibilities include coordinating releases and vendor updates, monitoring performance, resolving incidents, managing integrations and capacity, facilitating access approvals, and partnering with product, governance, security, infrastructure, architecture, vendors, and implementation partners.

Design, automate, and operate resilient, self-healing database platforms across cloud and on-prem environments. Build Kubernetes operators and IaC (Terraform/Pulumi), use Go or Python for automation, optimize performance/cost, partner with app teams on schema/migrations, and leverage AI for observability and operational efficiency.

The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.

Lead a team that builds and operates SDLC tooling and AI-enabled developer infrastructure. Own delivery, reliability, adoption, reporting, audit automation, sensitive-data protections, and governance for LLMs and agentic tooling. Partner with Architecture, Security, Privacy, and Engineering Excellence to translate standards into workflows, measure outcomes, and enable developer training and documentation. Hire, coach, and manage DevOps engineers, tooling admins, and developers to drive measurable engineering productivity improvements.

Lead observability and reliability efforts: mentor teams on SLIs/SLOs, maintain triage/remediation workflows, perform incident response, debug production systems, and design core infrastructure and tooling for engineering teams.

Work on production-scale observability and security systems across backend, frontend, infrastructure, and data engineering. Design, build, and optimize distributed, cloud-native services; tackle performance, reliability, and scalability challenges; and deliver end-to-end technical projects while collaborating with mentors and peers.

Lead a small platform engineering team to design, build, and operate a Kubernetes-based PaaS on AWS EKS. Combine people leadership (1:1s, planning, coaching) with hands-on work: autoscaling, EKS upgrades, controller/operator patterns, IaC (Terraform/Helm/ArgoCD), observability, security policies, service discovery/mesh, and piloting AI-assisted support to improve developer experience and platform reliability.

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.

The Cloud Engineer will develop and maintain cloud infrastructure, oversee deployment of cloud services, and ensure compliance with security guidelines. Candidates should possess strong communication skills and be eager to learn new technologies. Experience with AWS, Azure, GCP, Terraform, and Agile development is required.