Jobs

Description

Location: HYBRID (Hartford area)

Hours: Mon-Fri 8-5

• We are seeking a Senior Kubernetes Platform Engineer to join our organization as we grow and transform our Technology landscape.
• This individual will serve as a technical lead responsible for designing, building, and operating enterprise-grade Kubernetes platforms on AWS.
• The role encompasses advanced platform engineering tasks including architecture design, infrastructure as code development, containerized system deployment, monitoring/alerting, troubleshooting, and documentation.
• The individual will provide technical leadership and mentorship to junior engineers, consult with development teams to determine platform requirements, manage cloud resources effectively, act as a subject matter expert in container orchestration and AWS services, and leverage deep technical knowledge to drive the planning and execution of complex cloud-native initiatives.

What Will You Do?

• Design, build, and maintain scalable Kubernetes platforms on AWS that enable development teams to deploy and run containerized applications efficiently and reliably.
• Take the lead on architecting and implementing cloud-native solutions using Kubernetes, AWS services, and infrastructure as code that meet business and technical requirements.
• Develop and maintain Terraform modules and configurations for provisioning and managing Kubernetes clusters, AWS infrastructure, and related platform services.
• Act as a technology advocate, independently seeking opportunities where Kubernetes, containerization, and cloud technologies can be utilized to improve platform capabilities and developer experience
• Seek opportunities to expand technical knowledge in emerging Kubernetes features, AWS services, and cloud-native technologies.
• Take ownership of platform services and infrastructure at scale. Make informed decisions on evolving, modernizing, and optimizing the Kubernetes platform and AWS architecture.
• Collaborate with security teams to implement and maintain security best practices for Kubernetes and AWS environments.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Five years of hands-on experience with Kubernetes in production environments, including cluster administration, troubleshooting, and optimization.
• Extensive AWS expertise including EKS, EC2, VPC, IAM, S3, RDS, CloudWatch, Load Balancers, and other core services.
• Advanced Terraform experience - ability to design and implement infrastructure as code strategies, create reusable modules, and manage complex cloud infrastructure.
• Container expertise - deep knowledge of Docker, container networking, service mesh technologies (Istio, Linkerd), and container security best practices.
• CNCF ecosystem experience - hands-on work with common Kubernetes controllers and CNCF projects such as cert-manager, external-dns, cluster-autoscaler, ingress-nginx, Kyverno, Crossplane, or similar tools for platform automation and management.
• Experience with microservices architectures and supporting infrastructure including API gateways, service discovery, and distributed tracing.
• Observability tools - experience with Prometheus, Grafana, ELK/EFK stack, Datadog, or similar monitoring and logging platforms.
• Experience with Helm charts and Kubernetes operators for application deployment and management.
• Strong understanding of networking including Kubernetes networking models, CNI plugins, ingress controllers, and AWS networking services.
• Experience working with highly collaborative, Agile teams in a DevOps or platform engineering capacity.
• Eagerness and willingness to learn new cloud-native technologies and stay current with the Kubernetes ecosystem.

What is a Must Have?

• Bachelor's degree in Computer Science or a related field, or its equivalent in work experience. • Three years minimum of production Kubernetes experience.
• Three years minimum of AWS cloud engineering experience.
• Hands-on experience with infrastructure as code tools (Terraform required).
• Proven experience designing and operating containerized systems at scale.