Senior Automation QA (JS) Engineer

Ciklum

India

On-site

INR 2,500,000 - 4,800,000

Full time

8 days ago

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Benefits offered by this job

Medical insurance
Udemy access and certifications
Internal learning programs

Job summary

Ciklum is seeking a Senior Automation QA (JS) Engineer in India to lead automated testing across platform, frontend and backend. You will design and maintain scalable Playwright/TypeScript test suites, implement robust CI/CD release gates, and drive quality for LLM-enabled workflows and non-deterministic systems.

You will collaborate with cross-functional teams, mentor mid-level QAs, and build synthetic data pipelines while upholding security and compliance.

Qualifications

  • 8+ years of test automation with API testing and framework adoption
  • Experience testing non-deterministic systems with statistical/assertion methods
  • Strong CI/CD integration and release-gate design
  • Security/adversarial testing mindset with prompt-injection awareness
  • Proficient in Playwright and TypeScript for scalable test suites
  • Experience with multi-tenant SaaS isolation testing
  • Familiarity with eval/observability stacks (Langfuse/LangSmith/etc.)
  • Experience with qTest or similar test management tools

Responsibilities

  • Design, build, and maintain automated test suites for platform, frontend, and backend
  • Automate tests for long-running Temporal workflows and failure injection
  • Verify cross-tenant data access isolation and cost attribution checks
  • Test agent execution sandboxing and disallowed calls through negative testing
  • Create test strategies for LLM-driven behavior and model variance handling
  • Develop adversarial test corpora for prompt injection and data exfiltration probes
  • Validate HITL escalation thresholds and authorization controls
  • Contribute test infrastructure, synthetic data pipelines, and CI integration
  • Measure platform NFRs: overhead, concurrency, queue backpressure, failover trends
  • Use tracing data (Langfuse/OpenTelemetry) to assert trace completeness and cost accounting
  • Integrate test suites into CI/CD as release gates with regression flags
  • Produce auditable test-evidence packs for client milestones
  • Collaborate with AI/Platform engineers on acceptance criteria and observability
  • Maintain test environments and synthetic data generators for speed and determinism
  • Mentor junior QA engineers and contribute to quality engineering practices
  • Collaborate on AI Academy initiatives and internal frameworks

Skills

Playwright
TypeScript
CI/CD integration
API testing
Test framework design
Adversarial testing
LLM testing
Security testing
Multi-tenant SaaS
Data quality validation

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

GitHub Actions
k6
Locust
Langfuse
LangSmith
Promptfoo
DeepEval
Arize Phoenix

Job description

Ciklum is looking for a Senior Automation QA (JS) Engineer to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Automation QA (JS) Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities:
  • Design, build, and maintain automated test suites for the platform, Frontend and Backend, including contract tests that protect the agent-developer experience as the SDK evolves
  • Build automated tests for long-running Temporal workflows including failure injection (worker kill, provider outage, retry storms) to verify durable-execution guarantees such as zero lost runs and correct compensation/saga behavior
  • Automate multi-tenant isolation verification cross-tenant data access, configuration bleed, and cost-attribution correctness executed per release as a platform acceptance criterion
  • Verify agent execution sandboxing and egress controls through negative testing of disallowed tool calls and network destinations
  • Design test strategies for LLM-driven behavior: statistical assertions over repeated runs (pass^k consistency), semantic-similarity scoring, confidence-threshold validation, and flakiness quarantine that distinguishes model variance from genuine regression
  • Build and continuously extend adversarial test corpora document-borne prompt injection in lease PDFs, tool-call hijack, and data-exfiltration probes aligned to OWASP LLM Top 10 and recognized red-team taxonomies
  • Verify Human-in-the-Loop (HITL) escalation behavior confidence thresholds fire correctly and no gated/irreversible action completes without authorization
  • Partner with the evaluation function on golden-dataset-driven checks, contributing test infrastructure, synthetic-data (synthetic lease) pipelines, and CI integration that make agent quality measurable and repeatable
  • Automate verification of platform NFRs invocation overhead (p95), concurrency targets, queue backpressure behavior, and LLM provider failover time and surface trends per release
  • Use tracing data (Langfuse / OpenTelemetry spans) as a first-class test asset: assert on trace completeness, token/cost-accounting accuracy, and alerting behavior for anomalous runs
  • Wire test suites into CI/CD as hard release gates with automated, per-metric regression flagging on pull requests
  • Produce auditable, reproducible test-evidence packs that feed directly into client milestone sign-off
  • Embed with AI and platform engineers from the design stage making acceptance criteria, testability, and observability inputs to architecture, not afterthoughts
  • Maintain test environments, mocked LLM/provider layers, and synthetic data generators that keep test runs fast, deterministic where possible, and affordable
  • Mentor mid-level QA engineers, codify AI testing patterns into reusable internal frameworks, and contribute to Ciklum's quality engineering practice and AI Academy
Requirements:
  • 8+ years of test automation with API testing, and building test frameworks other engineers adopt, not just test cases
  • Hands-on experience testing LLM-powered or other non-deterministic systems statistical assertions, semantic scoring, and managing model variance (this is the differentiator; cite real examples)
  • Experience testing asynchronous, event-driven systems failure injection, idempotency verification, eventual-consistency assertions; Temporal or a similar workflow engine a strong plus
  • Strong CI/CD integration skills (GitHub Actions or equivalent) and the discipline to design release gates
  • Solid SQL and data-validation skills; comfort building synthetic test-data pipelines and measuring dataset quality
  • A security-testing and adversarial mindset; familiarity with prompt-injection techniques or a strong AppSec testing background with willingness to specialize fast
  • Demonstrated judgment on what "tested enough" means under milestone pressure, and the ability to defend quality evidence to non-engineering stakeholders
  • Strong proficiency in Playwright and TypeScript is mandatory for building automated test suites
  • QA Automation Core: Extensive experience in building automated test frameworks (Playwright/Typescript-based) and integrating them into high-security CI/CD pipelines
  • AI/LLM Literacy: Deep understanding of Large Language Model behaviors, prompt sensitivity, and the common failure modes of RAG (Retrieval-Augmented Generation) systems
  • Analytical Mindset: Strong capability in statistical analysis to interpret evaluation scores and provide actionable feedback to AI Engineers for prompt tuning
  • Performance/load tooling (k6, Locust) for concurrency and latency NFR verification
  • Prior testing of multi-tenant SaaS isolation
  • Exposure to eval/observability stacks (Langfuse, LangSmith, Promptfoo, DeepEval, Arize Phoenix)
  • Compliance evidence experience (SOC 2, GDPR) or accessibility testing (Section 508 / WCAG)
  • Familiarity with Commercial Real Estate workflows (lease accounting, CAM reconciliation) or document-extraction systems (OCR, layout parsing)
  • Experience using LLMs to generate test cases, adversarial payloads, or synthetic documents
  • Performance Testing: Experience testing high-concurrency background processing within agentic systems
  • Experience with qTest for test management
What’s in it for you?
  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations
About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level.

Explore, empower, engineer with Ciklum!
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