Staff Software Engineer - Cloud Platform Job Lowell area,Massachusetts USA,Software Development

5+ years of software engineering experience Deep expertise in Python or Java development.
1 year+ of Git Ops/Dev Ops experience or, building Infrastructure as Code pipelines or processes to support large teams
Experience working with Kubernetes, Docker, and public cloud deployment platforms
Experience designing and administering CI/CD pipelines
Proven track record of leading and delivering large-scale, complex software projects.
Proficiency with cloud technologies like Azure, AWS, GCP, and version control systems like Git Hub.
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field or equivalent practical experience
Master's degree or PhD in Computer Science or a related technical field.
Experience and deep understanding Git Hub Actions, Argo CD, or similar Git Ops and CI/CD platforms for Kubernetes application deployment, release orchestration, traffic routing, and lifecycle management or a readiness and deep interest to learn and master.
Extensive experience with Git Ops tooling for example Git Hub Actions, leveraging Terraform and Ansible to create CI/CD pipeline automation frameworks and container-based deployments.
Extensive experience with software architecture and design patterns, including the ability to design and implement scalable, reliable systems in a Dev Ops model.
Proficiency in building telemetry or observability as part of the development process.
Strong understanding in DNS architecture and operations, including traffic management, split-horizon DNS, failover strategies, and performance optimization in large-scale distributed systems or a readiness and deep interest to learn and master.
Proven experience designing and operating service-to-service routing, including L7 traffic shaping, canary deployments, blue/green releases, and zero-downtime migration strategies or a readiness and deep interest to learn and master.
Experience with API gateway and edge routing technologies (e.g., NGINX, Envoy, Kong, or cloud-native equivalents), including authentication, rate limiting, and policy enforcement or a readiness and deep interest to learn and master.
Hands-on experience with TLS/mTLS, certificate lifecycle management, and secure service-to-service communication in a Kubernetes or microservices environment or a readiness and deep interest to learn and master.
Deep understanding of Kubernetes operators, networking primitives, including Services, Ingress, Gateway API, and service mesh architectures (e.g., Istio, Linkerd), with hands-on experience operating them at scale or a readiness and deep interest to learn and master.

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