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Weekend Kubernetes Engineer Jobs in Boston, MA (NOW HIRING)

DevOps Engineer III

Waltham, MA · Hybrid

$57 - $78/hr

Contribute to the design, provisioning, and management of data services on Kubernetes-based ... Participate in on-call rotations, incident triage, and post-incident reviews; apply SRE best ...

Application Support DevOps Engineer

Boston, MA · On-site

$129K - $193K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Engineer to own the deployment, tuning, and day-to-day health of this platform across our ... Strong hands-on experience with Kubernetes (deployments, services, ingress, Helm, RBAC ...

SR Devops engineer

Cambridge, MA · On-site

$142K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineer U.S. GenAI startup, Cambridge Office Full-Time Employment with We . We are committed to ... Kubernetes cluster design, deployment, and management for AI and application workloads

DevOps Engineer

Cambridge, MA · On-site

$85K - $180K/yr

... Engineer at Blitzy, you will be a critical force behind the infrastructure powering our cutting ... Kubernetes clusters are stable, well-documented, and capable of scaling to support growing AI agent ...

Customer Support Engineer

Cambridge, MA · On-site

$100K - $140K/yr

Kubernetes & Docker. * Major cloud providers: GCP, AWS, and Azure. Hands-on with at least one ... Expect a rotating on-call schedule and occasional evening, early-morning, or weekend escalations ...

Devops Engineergni

Lowell, MA · On-site

$52.50 - $72/hr

... Engineer to design, implement, and manage scalable Kubernetes clusters for application deployment. The role involves building and maintaining infrastructure as code using Terraform and developing CI ...

Sr. DevOps Engineer

Lowell, MA · On-site

$128K - $165K/yr

... Engineer to design, implement, and support scalable, secure, and resilient cloud infrastructure ... Design and manage infrastructure using AWS , Kubernetes, and Terraform. * Build and support CI/CD ...

Sr. DevOps Engineer

Lowell, MA · On-site

$128K - $165K/yr

... Engineer to design, implement, and support scalable, secure, and resilient cloud infrastructure ... Design and manage infrastructure using AWS , Kubernetes, and Terraform. * Build and support CI/CD ...

DevOps Engineer

Arlington, MA · On-site

$112K - $125K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... Engineer is responsible for designing, automating, and supporting the Bank's cloud infrastructure ... Experience managing Kubernetes environments, preferably Amazon EKS. * Strong experience with ...

DevOps Engineer

Arlington, MA

$59.75 - $81.75/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... Engineer is responsible for designing, automating, and supporting the Bank's cloud infrastructure ... Experience managing Kubernetes environments, preferably Amazon EKS. * Strong experience with ...

Senior Software Engineer

Waltham, MA

$133K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Summary As a Senior Software Engineer - Cloud Infrastructure, you will help build, operate, and ... This role supports cloud-native services built on microservices and Kubernetes-based architectures ...

Showing results 21-40

Weekend Kubernetes Engineer information

What cities near Boston, MA are hiring for Weekend Kubernetes Engineer jobs?

Cities near Boston, MA with the most Weekend Kubernetes Engineer job openings:

$57 - $78/hr

Full-time

Re-posted 7 days ago


Job description

What You'll do:

  • Contribute to the design, provisioning, and management of data services on Kubernetes-based platforms (Amazon EKS & Google Kubernetes Engine).
  • Implement infrastructure as code with Terraform, ensuring security, scalability, and cost awareness.
  • Develop and maintain CI/CD pipelines (Jenkins, Argo CD, GitHub Actions) to enable automated testing and deployments.
  • Deploy and support cloud-native data services such as Amazon Kinesis, AWS Glue, Google Pub/Sub, Dataflow, and BigQuery.
  • Leverage AI-powered tooling (e.g., GitHub Copilot, generative-AI chat/ops assistants, and AIOps platforms) to accelerate script generation, configuration validation, and incident troubleshooting.
  • Create automation scripts and internal tooling in Python to streamline DevOps workflows.
  • Assist in establishing monitoring, logging, and alerting using Prometheus, Grafana, CloudWatch, or Datadog; incorporate AI-driven anomaly detection where applicable.
  • Participate in on-call rotations, incident triage, and post-incident reviews; apply SRE best practice.
  • Collaborate with engineers and software developers to ensure infrastructure aligns with application requirements and company standards.
  • Document infrastructure, runbooks, and lessons learned to promote knowledge sharing across teams.

What you bring:

  • 4-6 years in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
  • Production experience with AWS and/or GCP data services (e.g., Kinesis, Pub/Sub, Dataflow, BigQuery).
  • Hands-on experience managing containerized workloads on Kubernetes (EKS, GKE, or self-managed clusters).
  • Solid understanding of Terraform (or similar IaC tools) and Git-based workflows.
  • Working knowledge of CI/CD platforms such as Jenkins, Argo CD, and/or GitHub Actions.
  • Proficiency with Python or another scripting language for automation.
  • Familiarity with observability stacks (CloudWatch, Datadog, etc.).
  • Fundamental grasp of SRE principles-service reliability, incident response, and performance monitoring.
  • Effective communication skills and a collaborative mindset.

Preferred Qualifications:

  • Demonstrated experience using AI-powered copilots, chat assistants, or AIOps platforms to accelerate infrastructure work or incident resolution.
  • Experience with workflow orchestration tools (Apache Airflow, Cloud Composer).
  • Exposure to big-data frameworks (Spark, Flink) or modern data-lake architectures.
  • Knowledge of cost-optimization techniques for cloud resources.
  • Familiarity with event-driven architectures and message queues (Kafka, RabbitMQ).
  • Understanding of GitOps workflows and service mesh technologies such as Istio.

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