Job description

Description • 5–10 years of QA/testing experience in backend or platform engineering • Hands-on experience with performance and load testing tools (k6, Artillery, JMeter, Gatling, or Locust) • Ability to analyze performance metrics — P50/P95/P99 latencies, throughput, error rates, CPU/memory utilization • Strong experience with API testing tools (Postman, REST clients, curl, supertest) • Experience testing event-driven architectures (Kafka, message queues) • Familiarity with Docker, Docker Compose, and Kubernetes-based deployments • Experience with CI/CD pipelines (GitLab CI, Jenkins, or equivalent) Requirements • Validate CI/CD pipelines (GitLab CI) — ensure builds, tests, and deployments function correctly • Perform regression testing for Node.js runtime upgrades (e.g., Node 18 → Node 24 migrations) • Collaborate with developers to define acceptance criteria and testability requirements • Monitor and validate application performance using Datadog APM (dd-trace) • Test Redis cluster interactions, DynamoDB operations, and Kafka consumer/producer flows • Identify, document, and track defects through resolution • Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. Job responsibilities • Comfortable reading and writing TypeScript/JavaScript • Experience with git workflows and branching strategies • Design and execute test plans for RESTful APIs, Kafka message processors, and Redis-based job schedulers • Build and maintain automated test suites (unit, integration, functional, end-to-end) • Design and execute performance and load tests to validate system behavior under peak traffic, sustained load, and stress conditions • Establish performance baselines, define SLAs (throughput, latency, error rates), and track regressions across releases • Conduct soak tests to identify memory leaks, connection pool exhaustion, and resource degradation over time • Validate Node.js library upgrades and dependency changes across the shared library ecosystem (lantern-utils, lantern-nest-utils, lantern-logger, lantern-requester, lantern-scheduler) • Test containerized services in Docker and Kubernetes (EKS) environments GlobalLogic estimates the starting pay range for this role to be performed in Denver, CO to be $115,000 to $120,000 and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. What we offer Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies. Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home. Professional Development: We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges. Excellent Benefits: We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Requirements

Must-haves

5–10 years of QA/testing experience in backend or platform engineering
Hands-on experience with performance and load testing tools (k6, Artillery, JMeter, Gatling, or Locust)
Ability to analyze performance metrics — P50/P95/P99 latencies, throughput, error rates, CPU/memory utilization
Strong experience with API testing tools (Postman, REST clients, curl, supertest)
Experience testing event-driven architectures (Kafka, message queues)
Familiarity with Docker, Docker Compose, and Kubernetes-based deployments
Experience with CI/CD pipelines (GitLab CI, Jenkins, or equivalent)
Validate CI/CD pipelines (GitLab CI) — ensure builds, tests, and deployments function correctly
Perform regression testing for Node.js runtime upgrades (e.g., Node 18 → Node 24 migrations)
Collaborate with developers to define acceptance criteria and testability requirements
Monitor and validate application performance using Datadog APM (dd-trace)
Test Redis cluster interactions, DynamoDB operations, and Kafka consumer/producer flows
Identify, document, and track defects through resolution
Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
Comfortable reading and writing TypeScript/JavaScript
Experience with git workflows and branching strategies
Design and execute test plans for RESTful APIs, Kafka message processors, and Redis-based job schedulers
Build and maintain automated test suites (unit, integration, functional, end-to-end)
Design and execute performance and load tests to validate system behavior under peak traffic, sustained load, and stress conditions
Establish performance baselines, define SLAs (throughput, latency, error rates), and track regressions across releases
Conduct soak tests to identify memory leaks, connection pool exhaustion, and resource degradation over time
Validate Node.js library upgrades and dependency changes across the shared library ecosystem (lantern-utils, lantern-nest-utils, lantern-logger, lantern-requester, lantern-scheduler)
Test containerized services in Docker and Kubernetes (EKS) environments

Nice-to-haves

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Application prep

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Keywords to mirror

apirestdockerkubernetesci/cdnode.jstypescriptjavascript

Platform: globallogic
Effort: medium

Benefits

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401k

Pto

Professional Development