Tata Consultancy Services

Engineer - Cluster Management

Tata Consultancy Services • $120K — $160K *
Seattle, WA 98115In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years of experience with EKS/Kubernetes cluster operations
  • Strong background in memory profiling and DRAM optimization techniques
  • Expertise in resource right-sizing and performance optimization
  • In-depth knowledge of Linux container internals including cgroups and runtime memory management
  • Familiarity with monitoring tools such as Prometheus, Grafana, and CloudWatch

Responsibilities

  • Manage full EKS cluster operations from provisioning to maintenance
  • Conduct in-depth memory profiling for containerized workloads on EKS
  • Implement strategies for memory optimization at both container and cluster levels
  • Analyze memory allocation across Kubernetes distributed systems
  • Perform tests and validate the impact of optimization strategies
  • Design load testing and chaos engineering experiments for performance assurance
  • Collaborate with teams to enhance cluster architectures based on findings
  • Create detailed operational documents and runbooks for EKS optimizations

Benefits

  • Discretionary Annual Incentive
  • Comprehensive Medical Coverage including Dental and Vision
  • Parental support with maternal and parental leave
  • Insurance options including auto and home insurance
  • Commuter benefits and reimbursement for certifications
  • Generous time off policies including vacation and sick leave
  • Legal and financial assistance options available
Full Job Description
Must Have Technical/Functional Skills

  • EKS/Kubernetes Cluster Management
  • Memory Profiling & DRAM Optimization
  • Resource Right-Sizing & Performance Optimization
  • Linux Container Internals (cgroups/OOM/Runtime Memory)
  • Monitoring & Observability (Prometheus/Grafana/CloudWatch)


Roles & Responsibilities

  • Manage end-to-end EKS cluster operations, including cluster provisioning, node group configuration, autoscaler tuning, and ongoing maintenance, while implementing memory-optimized configurations across managed node groups and Fargate profiles.
  • Perform deep memory profiling of containerized workloads running on EKS: analyzing pod-level memory consumption, identifying over-provisioned resource requests/limits, detecting memory leaks, and understanding how memory is utilized across distributed microservices architectures.
  • Implement and validate memory optimization strategies at the container and cluster level, including resource request/limit right-sizing, Vertical Pod Autoscaler (VPA) configuration, node pool instance type optimization, and memory-efficient scheduling policies.
  • Analyze and optimize how memory is allocated and consumed across distributed systems running on Kubernetes, including container runtime overhead, kernel memory accounting, cgroup memory limits, shared memory segments, and inter-pod communication overhead, to identify hidden memory waste at the infrastructure layer.
  • Perform custom operations and iterative experiments using internal tooling to validate optimization impact: own end-to-end deployment, test execution, metric validation, and derive actionable insights from results.
  • Design and execute testing strategies for EKS optimizations, including load testing, soak testing, and chaos engineering experiments to validate that memory-optimized configurations maintain reliability and performance under production-like conditions.
  • Collaborate with service teams to review cluster architectures, discuss findings, propose optimization plans, and align resolution strategies while communicating effectively across engineering leadership and technical stakeholders.
  • Develop comprehensive operational runbooks, SOPs, documentation, and technical specifications that capture EKS optimization patterns and can be consumed by both human engineers and AI agents to orchestrate optimization workflows at scale.


TCS Employee Benefits Summary:

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Aut& Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.


#LI-KR3

Salary Range-$120,000-$160,000 a year

About Tata Consultancy Services

Tata Consultancy Services (TCS) is an Indian multinational information technology (IT) services and consulting company, headquartered in Mumbai, Maharashtra, India. It is a subsidiary of Tata Group and operates in 149 locations across 46 countries. TCS is the largest Indian company by market capitalization and is ranked 11th on the Forbes Global 2000 list of the world's biggest public companies. TCS is also the second-largest IT services company in the world by revenue and the largest employer of women in India. The company provides services in areas including IT, consulting, and business solutions.
Learn more about Tata Consultancy Services
Size
469,261 employees
Industry
Information Technology
* Ladders Estimates

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