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Salary
≈ $13k – $31k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 2026.

Overview
Company
Impact
Profile match
HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

Job Summary

  • 2 × Software Engineers - Performance & Load Testing. Profiling the application for performance improvements; improving SQL queries; parse API and event logs and convert large exports (incl. LLM-assisted) into realistic, replayable scenarios; support remediation.
  • 1 × Infrastructure Engineer - Performance & Load Testing. GCP / Kubernetes; test-environment setup and data seeding; test execution and triggering; observability (Grafana / Prometheus / Datadog).
  • 1 × QA Engineer - Performance & Load Testing. Load-test scenario design and execution across HTTP/API and event/websocket traffic; performance analysis (latency percentiles, error rates, throughput); bottleneck identification.
  • 1 × DBA - focus on Performance and Load; Strong Experience with Maria DB and MySQL; Analyze and tune database behavior under load (query/index optimization, lock and replication-lag analysis); Monitor DB saturation (connections, IOPS, buffer pool); Pinpoint database bottlenecks and advise on scaling (instance upgrades, schema separation, sharding, etc).

Across all roles, hands-on performance and load testing experience is essential. We're seeking top-tier, senior candidates, not generalists. Familiarity with tools like k6 (and/or Locust/Gatling), distributed load generation, and modern observability stacks is expected.

Key Responsibilities

  • 2 × Software Engineers - Performance & Load Testing. Profiling the application for performance improvements; improving SQL queries; parse API and event logs and convert large exports (incl. LLM-assisted) into realistic, replayable scenarios; support remediation.
  • 1 × Infrastructure Engineer - Performance & Load Testing. GCP / Kubernetes; test-environment setup and data seeding; test execution and triggering; observability (Grafana / Prometheus / Datadog).
  • 1 × QA Engineer - Performance & Load Testing. Load-test scenario design and execution across HTTP/API and event/websocket traffic; performance analysis (latency percentiles, error rates, throughput); bottleneck identification.
  • 1 × DBA - focus on Performance and Load; Strong Experience with Maria DB and MySQL; Analyze and tune database behavior under load (query/index optimization, lock and replication-lag analysis); Monitor DB saturation (connections, IOPS, buffer pool); Pinpoint database bottlenecks and advise on scaling (instance upgrades, schema separation, sharding, etc).

Across all roles, hands-on performance and load testing experience is essential. We're seeking top-tier, senior candidates, not generalists. Familiarity with tools like k6 (and/or Locust/Gatling), distributed load generation, and modern observability stacks is expected.

Skill Requirements

  • 2 × Software Engineers - Performance & Load Testing. Profiling the application for performance improvements; improving SQL queries; parse API and event logs and convert large exports (incl. LLM-assisted) into realistic, replayable scenarios; support remediation.
  • 1 × Infrastructure Engineer - Performance & Load Testing. GCP / Kubernetes; test-environment setup and data seeding; test execution and triggering; observability (Grafana / Prometheus / Datadog).
  • 1 × QA Engineer - Performance & Load Testing. Load-test scenario design and execution across HTTP/API and event/websocket traffic; performance analysis (latency percentiles, error rates, throughput); bottleneck identification.
  • 1 × DBA - focus on Performance and Load; Strong Experience with Maria DB and MySQL; Analyze and tune database behavior under load (query/index optimization, lock and replication-lag analysis); Monitor DB saturation (connections, IOPS, buffer pool); Pinpoint database bottlenecks and advise on scaling (instance upgrades, schema separation, sharding, etc).

Across all roles, hands-on performance and load testing experience is essential. We're seeking top-tier, senior candidates, not generalists. Familiarity with tools like k6 (and/or Locust/Gatling), distributed load generation, and modern observability stacks is expected.

Other Requirements

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