Top Cloud Engineer Jobs in Boston, MA

Design, deploy, and maintain secure AWS/Azure GovCloud environments; implement IaC (Terraform/CloudFormation/ARM), IAM/RBAC/ZTA, cloud networking (VPC, VPN), container orchestration, monitoring, cost tracking, and ATO/RMF/NIST/FedRAMP compliance. Coordinate cross-Work Order resource allocation and reporting.

Build and operate cloud infrastructure for mission-critical aviation systems, focusing on scalability, resilience, and deployment pipelines in a production environment.

As a Technical Lead Cloud Platform Engineer, you will architect and operate a cloud platform for aviation systems, lead a small team, ensure reliability, and manage incidents.

Support design, implementation, and operation of cloud infrastructure across AWS and Azure. Develop Infrastructure as Code, contribute to CI/CD pipelines, monitor and troubleshoot environments, participate in incident response and on-call rotation, and collaborate with engineering teams to improve reliability, security, and automation.

Leads cloud engineering and configuration management across AWS, Azure, and Oracle Cloud. Provides technical leadership, automates infrastructure and deployments, secures source control and CI/CD, and establishes cloud platform best practices. Partners with architects and product teams on Agile delivery, monitoring, service discovery, security, and platform improvements. Supports major programs, financial governance, reporting, and technical guidance for developers and Global IT teams.

Operate and monitor MongoDB Atlas infrastructure, troubleshoot production incidents, automate monitoring and remediation, collaborate globally to reduce MTTR, participate in on-call rotations and second-shift weekend schedules, and support FedRAMP government environments.

Own and operate the data plane: develop Envoy/WASM filters for deep packet inspection, deploy and manage EKS workloads with Helm/GitOps and CI/CD, integrate Redis sidecars, provide observability (Prometheus/Grafana/OpenTelemetry), ensure reliable audit log streaming, and author ADRs as the data plane evolves.

Design and implement scalable cloud architectures to ingest and normalize telematics data, build front-end experiences, develop and secure APIs, optimize databases and performance, mentor engineers, lead technical direction, and ensure system reliability, scalability, and security for telematics-driven safety products.

Design, implement, and operate secure, scalable multi-cloud infrastructure (Azure/AWS) with IaC (Terraform), managed Kubernetes, containers, and AI platform support. Lead complex projects, define operational processes, ensure security/compliance, mentor teammates, and maintain observability for production systems.

Migrate and operate customer experience applications on Google Cloud. Perform lift-and-shift to GCP, deploy and validate releases, manage containerized microservices (GKE/Docker/Terraform), query and configure apps, use Jenkins/git for pre-staging, and troubleshoot Linux/Unix systems with scripting.

Design, implement, and transition Genesys Cloud contact center solutions. Build call flows/IVR in Genesys Architect, develop integrations using APIs/JSON/JavaScript, execute test plans, and follow change control processes while ensuring clear communication and ownership.

The Embedded Cloud Engineer will architect, implement, and scale cloud services, working with cross-functional teams and deploying using DevOps practices.

Design and develop Data Plane features for SDN, debug software issues, collaborate with teams, and optimize performance in cloud architectures.

Lead design, development, testing, and deployment of cloud-native full‑stack applications and microservices. Provide technical leadership, mentor engineers, implement CI/CD and automated tests, and drive modernization using GCP or similar cloud platforms, containers, and enterprise security best practices.

Designs and implements scalable Java and cloud software solutions, modern microservices, APIs, and Generative AI capabilities. Leads architecture discussions, creates proofs of concept, optimizes performance, participates in code reviews, resolves complex issues, and mentors engineers. Collaborates with business and technical leaders to deliver high-quality products and improve platform capabilities.

Design, implement, and support enterprise Microsoft 365 services (Exchange, SharePoint, Teams, OneDrive), Power Platform, Power BI, and Microsoft 365 Copilot. Lead platform governance, security, compliance, automation (PowerShell/Graph), migrations, and Tier 3 support while partnering with stakeholders and ensuring regulatory alignment for financial services.

Design, operate, and evolve CI/CD and delivery infrastructure for ~400 engineers. Build developer-facing tooling, champion progressive delivery (canaries, automated rollbacks), own end-to-end delivery from merge to production, improve pipeline reliability and speed, evolve the Internal Developer Portal, and embed AI-assisted workflows into the software development lifecycle.

Design, develop, maintain, and support full-stack applications, Azure cloud services, REST APIs, integrations, and data workflows. Contribute to CI/CD, infrastructure automation, testing, monitoring, troubleshooting, documentation, and operational improvements. Participate in a 24x7 rotational on-call schedule, handling incidents, restoring services, documenting resolutions, and supporting continuous reliability improvements across business-critical platforms.

Design, develop, deploy, and maintain cloud-native AWS applications using Node.js, React.js, and JavaScript/TypeScript. Build infrastructure as code with Terraform or AWS CDK, create CI/CD pipelines, troubleshoot Linux environments, and support secure cloud operations. Collaborate with UI/UX, cloud engineering, architecture, and DevOps teams while contributing to compliance, hardening, architectural decisions, and on-call operations.

Design, implement, and support cloud-based technical solutions across the organization. Collaborate with IT, product, analytics, and business teams to gather requirements, build automated cloud solutions, monitor production, document processes, and ensure alignment with architecture, security, and governance standards. Stay current with cloud offerings and assist in technical decision-making.

Build and maintain network automation and orchestration software for NVIDIA GPU Cloud and SuperPod deployments. Design/configure centralized configuration management, integrate cloud provider APIs, implement data pipelines and streaming telemetry, and automate lifecycle operations from procurement to deployment. Collaborate with infrastructure experts to deliver zero-touch, production-grade network provisioning, monitoring, and management tools.

Design, deploy, and support VMware-based private cloud (SDDC/HCI/SDN) solutions. Create high/low-level designs, run POCs and health checks, perform upgrades/patching, troubleshoot RCAs, and provide SLA-aligned technical support while collaborating with architects and customers.

Build and operate managed compute primitives for Temporal Cloud, including autoscaling systems, cloud integrations, control-plane and data-plane services, and multi-tenant execution infrastructure. Own architecture, APIs, reliability, observability, rollout strategies, incident response, and long-term maintenance. Lead technical design, cross-team platform initiatives, code reviews, and mentorship while ensuring secure, performant, and fault-tolerant customer-facing services.

Design, build, and operate highly scalable distributed storage systems for Temporal Cloud. Responsibilities include developing persistence APIs, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLO ownership, chaos testing, profiling, and incident reviews; and providing technical leadership through roadmap planning, RFCs, mentoring, and cross-team delivery.

Design, build, and operate highly scalable, multi-tenant cloud storage systems for workflow data. Responsibilities include developing persistence APIs, storage abstractions, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLOs, chaos testing, profiling, and incident reviews; leading technical designs, mentoring engineers, and collaborating across teams.