Senior Automation QA JavaScript Engineer

Description Ciklum; India; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Medical insurance

Udemy access

Annual performance bonus

Job summary

Ciklum in India is seeking an experienced QA Automation Engineer to own end-to-end test automation across frontend, backend, and workloads involving Temporal workflows and multi-tenant safety.

You will design reusable test scaffolds, integrate tests into CI/CD as release gates, mentor peers, and collaborate with AI/Platform teams to ensure production-ready quality for the agent platform.

Qualifications

• 8+ years of test automation with API testing and test frameworks used by other engineers
• Experience testing LLM-powered or non-deterministic systems with statistical assertions and semantic scoring
• Experience testing asynchronous, event-driven systems and workflows (Temporal is a plus)
• Strong CI/CD integration skills and release-gate design
• Solid SQL and data-validation skills; ability to build synthetic data pipelines
• Security-minded testing; familiarity with prompt-injection techniques
• Proven ability to defend quality evidence to non-engineering stakeholders
• Proficiency in Playwright and TypeScript for end-to-end test automation
• Knowledge of AI/LLM behaviors and evaluation patterns
• Familiarity with eval/observability stacks and multi-tenant SaaS isolation

Responsibilities

• Design, build, and maintain automated test suites for frontend and backend
• Create automated tests for long-running workflows and failure injection
• Verify multi-tenant data isolation and configuration integrity
• Perform negative testing of sandboxed environments and egress controls
• Design test strategies for AI-driven behavior and semantic scoring
• Develop adversarial test corpora and synthetic data pipelines
• Integrate test suites into CI/CD as release gates
• Mentor mid-level QA engineers and contribute to quality practice

Skills

Test automation

API testing

Playwright/Typescript

CI/CD integration

SQL

Adversarial testing

Temporal workflows

Multi-tenant isolation

LLM testing

Performance testing

Tools

Playwright

TypeScript

Langfuse/OpenTelemetry

qTest

Job description

Job Description

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:

You will own the test automation that spans the whole platform: the Frontend and Backend that agent developers depend on, the long-running Temporal workflows that must survive worker crashes and provider failures, the multi-tenant isolation boundaries that protect one customer's data from another, and the performance and concurrency targets defined in the platform's NFRs. Much of your craft is adversarial and failure-first injecting worker kills, retry storms, and malformed documents to verify the system recovers exactly as specified, and negative-testing disallowed tool calls and egress paths to confirm the sandbox holds. Where agent behavior must be judged rather than asserted, you will partner closely with the evaluation function, contributing the test infrastructure, synthetic-data pipelines, and CI integration that make quality measurable and repeatable.

This is a high-visibility role where we establish the production-ready foundation the rest of the program is built on. Your automated suites become release gates, and the evidence they produce feeds directly into client milestone sign-offs so your work must be reproducible, trustworthy, and defensible to a sophisticated client. As the platform scales toward an "agent-a-month" delivery cadence, you will build the reusable test scaffolds and harnesses that let quality keep pace with delivery, ensuring that month twelve ships as safely as month one. You will work shoulder-to-shoulder with AI engineers, platform engineers, and the evaluation team, embedding quality from the design stage rather than inspecting for it at the end.

Responsibilities:

• Platform & Agent Test Automation
  • 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
• AI-Specific & Non-Deterministic Testing
  • Design test strategies for LLM-driven behavior: statistical assertions over repeated runs (pass 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
• Performance, Reliability & NFR Verification
  • 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
• Process, Evidence & Collaboration
  • 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!