Senior Platform​/DevOps Engineering Consultant; Java​/Kubernetes

Position: Senior Platform / DevOps Engineering Consultant (Java / Kubernetes)
Location: Westlake

Description:
50% hybrid / on site in Westlake TX

We are seeking a Senior Platform / Dev Ops Engineer to join a Platform Engineering team within a large financial services enterprise. This team builds and operates large-scale, cloud-native, event-driven platforms that enable application teams to move faster through self-service infrastructure and standardized deployment patterns.

In this role, you will design, automate, and operate Kubernetes-based platforms that support mission-critical applications. You'll work closely with engineers across infrastructure, application, and data teams to improve reliability, scalability, and developer productivity while helping shape the future of the organization's platform ecosystem.

Due to client requirements, applicants must be willing and able to work on a W2 basis. For our W2 consultants, we offer a comprehensive benefits package that includes Medical, Dental, and Vision coverage, 401(k) with company matching, and life insurance.

Rate: $65 - $70 / hr. w2

Responsibilities:

• Design, build, and operate production-grade Kubernetes platforms (self-managed or managed services).
• Own Kubernetes internals including:
  • Workload scheduling and autoscaling
  • RBAC and security controls
  • Network policies
  • Helm, Kustomize, and Operators
• Build and maintain self-service developer platforms and golden-path templates on Kubernetes.
• Implement and support CI/CD pipelines using tools such as Jenkins, Git Hub Actions, Argo CD, or Flux (Git Ops).
• Develop and maintain infrastructure-as-code using tools like Terraform and Ansible.
• Manage container image pipelines and registries (Docker).
• Operate workloads in public cloud environments (AWS, Azure, or Google Cloud Platform), including:
  • Networking
  • IAM
  • Cost optimization
• Implement and support observability solutions, including:
  • Metrics (Prometheus, Grafana)
  • Logging (ELK / Open Search)
  • Distributed tracing
• Work with service mesh and API gateway technologies (e.g., Istio, Linkerd).
• Participate in Agile delivery using Scrum or Kanban.
• Collaborate across teams to resolve technical blockers and reduce platform risk.
• Mentor engineers and contribute to platform design decisions and best practices.

Secondary Requirements (Java / Spring Boot - Important)

• Design and develop microservices using Java and Spring Boot.
• Strong understanding of:
  • Microservices architecture
  • RESTful APIs
  • Event-driven design patterns
• Containerize and deploy Java applications to Kubernetes.
• Tune JVM performance for containerized environments.
• Experience with build and quality tooling (Maven or Gradle, unit and integration testing, static analysis).

Nice to Have (Event Streaming)

• Experience with Apache Kafka, including:
  • Topic and consumer group design
  • Offset management
  • Schema evolution (Avro or Protobuf)
• Familiarity operating Kafka on Kubernetes (e.g., Strimzi or enterprise distributions).
• Exposure to stream processing frameworks such as Kafka Streams, Apache Flink, or Spark Structured Streaming.

Experience Requirements:

• 5+ years of hands-on experience designing and operating production Kubernetes environments.
• 2+ years supporting workloads on a public cloud platform.
• Proven experience building enterprise-scale Dev Ops or platform engineering solutions.
• Strong technical design, troubleshooting, and analytical skills.
• Ability to thrive in fast-paced, ambiguous environments.

Education Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other…