Top Remote Senior Level DevOps & Platform Engineering Jobs in Boston, MA

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.

Manage an engineering team building reusable infrastructure platforms and core distributed systems. Architect highly available services, review designs, plan roadmaps, optimize cloud costs, and enforce deployment standards across AWS and GCP. Lead planning, retrospectives, on-call practices, and reliability initiatives involving SRE, CI/CD, chaos engineering, and incident analysis. Develop engineering strategy, mentor senior engineers, and influence platform decisions across product teams.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Build and maintain enterprise OpenShift/Kubernetes platforms across on-premise, bare-metal, virtualized, and hybrid environments. Develop Operators, APIs, developer tooling, and infrastructure automation using Go, Python, Ansible, and IaC. Implement GitOps CI/CD pipelines, observability, automated recovery, service mesh, secrets management, and self-service capabilities. Collaborate with application teams, improve platform reliability and usability, and mentor engineers while promoting software engineering and SRE best practices.

Own the reliability, performance, architecture, and lifecycle of heterogeneous database platforms. Design and operate relational, NoSQL, caching, time-series, and warehouse systems; improve provisioning, developer tooling, CI/CD, backups, disaster recovery, security, and performance. Influence architecture and product decisions, lead migrations and upgrades, troubleshoot developer and production environments, and establish platform standards, documentation, and regulatory traceability.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Lead DevOps and SRE initiatives focused on Azure SQL Elastic Pools, cloud infrastructure reliability, observability, automation, high availability, disaster recovery, and incident response. Manage scalable Azure or AWS environments, build infrastructure as code and CI/CD pipelines, optimize performance and costs, develop monitoring and remediation solutions, and mentor junior engineers while partnering across development, security, and database teams.

Founding infrastructure engineer responsible for designing, deploying, securing, and operating an Azure Government environment for a FedRAMP-authorized federal offering. The role owns Terraform infrastructure as code, deployment pipelines, Kubernetes, security integrations, encryption infrastructure, compliance evidence, operational runbooks, patching, scanning, recovery testing, assessor engagement, and on-call operations.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.