Sr Software Engineer

Tredence; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tredence in Bengaluru, India, is seeking an SDET / Agentic Test Automation Engineer to build the quality engineering foundation for an AI-driven platform. This role focuses on building test systems and infrastructure, not just executing tests, and involves validating AI agents, agentic workflows, LLM integrations, and distributed services.

You will design scalable Python frameworks, own end-to-end test strategy, diagnose flaky tests, and collaborate with backend/AI teams to ensure correctness,

Qualifications

• 5–8 years in an SDET or automation-focused role.
• Expert Python, or strong proficiency in C++, Java, Go or Rust with Python willingness.
• Experience architecting automation frameworks, not just writing tests.
• Strong fundamentals: data structures and algorithms, object‑oriented design, concurrency and multithreading, networking, SQL and databases, Linux and Git.
• Experience testing distributed or cloud-native systems (microservices, queues, asynchronous pipelines).
• Strong pytest, API/integration testing, and CI/CD integration.

Responsibilities

• Architect and build scalable test automation frameworks in Python, including libraries, fixtures, simulators and test infrastructure.
• Own API, integration, end-to-end, component and system-level testing strategy across the platform.
• Deliver deterministic, reproducible tests and maintain environments that allow engineers to reproduce failures quickly.
• Design testing approaches for AI and agentic systems, covering LLM-powered agents, multi-agent workflows, tool calling, RAG pipelines, memory and context systems, model routing, prompt and version regressions, structured outputs, long-running workflows, human-in-the-loop flows, and model and tool failure fallbacks.
• Apply and build advanced testing techniques to surface defect classes that conventional test cases miss: property-based, fuzz, metamorphic and differential testing, golden datasets, contract and state-machine testing, fault injection, chaos testing, and concurrency and race-condition testing.
• Test distributed system failure modes as well as components -- retries and idempotency, timeouts, partial failures, service dependencies and data consistency across queues, workers, caches and databases.
• Build automated performance, load, stress, soak and scalability testing to establish capacity and failure limits ahead of production exposure.
• Integrate testing into CI/CD so that quality gates are enforced continuously.
• Partner with backend, frontend, AI/ML, platform and infrastructure teams to make quality measurable, observable and enforceable.

Skills

Python

C++

Java

Go

Rust

Concurrency

Data structures

Multithreading

Networking

Linux

API testing

CI/CD

Tools

pytest

CI/CD tools

Kubernetes

Docker

FastAPI

PostgreSQL

Redis

Kafka

Locust

JMeter

Playwright

Selenium

Job description

SDET / Agentic Test Automation Engineer
Experience: 5-8 years
Location: Bengaluru, India
Employment: Full-time
Focus: AI/Agentic Systems - Test Automation
Quality Engineering - Python - Distributed Systems

About the Role

We are hiring an SDET / Agentic Test Automation Engineer to establish the quality engineering foundation for an AI and agentic software platform. This is an engineering role centred on building test systems and infrastructure, rather than on test execution or script maintenance. You will be responsible for validating a platform composed of AI agents, agentic workflows, LLM integrations, RAG pipelines, distributed services and asynchronous infrastructure. The work involves determining how these systems behave under concurrency, at scale, under adversarial input and during partial failure -- and building the automation required to verify that behaviour continuously.

Responsibilities

• Architect and build scalable test automation frameworks in Python, including the supporting libraries,
  fixtures, simulators and test infrastructure.
• Own API, integration, end-to-end, component and system-level testing strategy across the platform.
• Deliver deterministic, reproducible and debuggable tests, and maintain environments that allow engineers to
  reproduce failures quickly. Diagnose and remove flaky tests rather than tolerate them.
• Design testing approaches for AI and agentic systems, covering LLM-powered agents, multi-agent
  workflows, tool calling, RAG pipelines, memory and context systems, model routing, prompt and version
  regressions, structured outputs, long-running workflows, human-in-the-loop flows, and model and tool failure
  fallbacks. Tests must assess whether outcomes are correct, safe, consistent and useful -- not only whether
  execution completes.
• Apply and build advanced testing techniques to surface defect classes that conventional test cases miss:
  property-based, fuzz, metamorphic and differential testing, golden datasets, contract and state-machine
  testing, fault injection, chaos testing, and concurrency and race-condition testing.
• Test distributed system failure modes as well as components -- retries and idempotency, timeouts, partial
  failures, service dependencies and data consistency across queues, workers, caches and databases.
• Build automated performance, load, stress, soak and scalability testing to establish capacity and failure
  limits ahead of production exposure.
• Integrate testing into CI/CD so that quality gates are enforced continuously.
• Partner with backend, frontend, AI/ML, platform and infrastructure teams to make quality measurable,
  observable and enforceable.

Confidential -- For Internal & External Recruitment Use Only

SDET / Agentic Test Automation Engineer -- Job Description

Required Skills

• 5-10 years in an SDET, software engineering or automation-focused engineering role.
• Expert-level Python, or strong proficiency in C++, Java, Go or Rust with willingness to work extensively in
  Python.
• Demonstrated experience architecting automation frameworks, not solely writing tests within an existing
  one.
• Strong fundamentals: data structures and algorithms, object-oriented design, concurrency and
  multithreading/multiprocessing, networking, HTTP/REST/WebSockets, SQL and databases, Linux and Git.
• Experience testing distributed or cloud-native systems, including microservices, message queues,
  asynchronous pipelines, caches and databases.
• Strong command of pytest or equivalent frameworks, API and integration testing, and CI/CD integration.
• Proven debugging and root-cause analysis across application, database, network and infrastructure layers.

Preferred Skills

• Kubernetes and Docker; Azure, AWS or GCP.
• FastAPI or comparable backend frameworks; PostgreSQL; Redis; Kafka or other messaging systems.
• Load and performance tooling such as Locust, k6 or JMeter; browser automation with Playwright or
  Selenium.
• OpenTelemetry; GitHub Actions or Jenkins.
• Property-based testing with Hypothesis.
• AI/ML testing and evaluation, LLM APIs, RAG and vector databases, and agent frameworks such as
  LangChain or LangGraph.
• Chaos engineering, security testing, or experience building testing infrastructure from the ground up