QA Engineer (Automation + DevOps) wiseDo Technology Pvt Ltd

WiseDo Technology; Dadri; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

wiseDo Technology seeks a QA Engineer to own quality across its industrial AI stack, from edge devices to cloud dashboards. You will build automated test frameworks, strengthen CI/CD pipelines, and ensure reliable, performant, and secure deployments to factories and stores.

You will define test plans, establish quality gates, and report metrics to guide release quality and collaboration with CV/ML and backend teams.

Qualifications

• 12 years of software QA/testing experience, with at least 12 years in test automation.
• Strong proficiency in Python or Node.js/Java for automated tests.
• Experience with API testing (REST; GraphQL a plus) and HTTP fundamentals.
• UI automation using Playwright, Cypress, or Selenium.
• SQL databases and data validation through queries.
• Working knowledge of Docker and containerization; testing locally and in CI.
• CI/CD pipelines experience (GitHub Actions, Jenkins, GitLab CI).
• Experience with cloud platforms (AWS, GCP, Azure) or Linux server admin.
• Analytical, debugging skills and strong documentation.

Responsibilities

• Define and own end-to-end test strategy across edge, cloud, and frontend components.
• Create test plans, cases, and acceptance criteria with product and engineering.
• Establish quality gates and release criteria for edge firmware, backend services, and dashboards.
• Track quality metrics: defect density, escape rate, test coverage, MTTR.
• Build and maintain automated test suites for REST/GraphQL APIs and UI dashboards.
• Develop test harnesses and simulators for edge-device scenarios.
• Integrate tests into GitHub Actions CI/CD pipelines and manage test environments with Docker/Kubernetes.
• Collaborate with CV/ML teams to define model release acceptance criteria.

Skills

Python

API testing

UI automation

CI/CD

GitHub Actions

Jenkins

Docker

Kubernetes

Playwright

Cypress

Selenium

SQL

Cloud (AWS/GCP/Azure)

Linux

Tools

Playwright

Cypress

Selenium

Docker

Kubernetes

GitHub Actions

Jenkins

GitLab CI

Terraform

PostgreSQL

TimescaleDB

Job description

Location: Noida, Uttar Pradesh

Employment Type: Full-time

Experience Level: 12 years

Reporting To: Lead/VP Engineering

Remote Work Policy: Onsite or remote

About wiseDo Technology

wiseDo Technology is an early-stage, well-funded, venture-backed edge AI company building perception and reasoning solutions for industrial operations. Our platformwiseDo Reasoncombines real-time computer vision with AI-driven event recognition and decision-making, deployed directly at the edge (manufacturing facilities, warehouses, retail environments).

Our mission: Provide shop-floor intelligence that enables manufacturers and retailers to sense, reason, and act with precision.

Current Focus: Manufacturing and retail operations (Horizon 1), expanding to warehousing, QSR, and pharma (Horizon 2).

The Role

We're looking for a QA Engineer to own quality across wiseDo's industrial AI stackfrom edge devices running computer vision pipelines to cloud dashboards used by factory operators. You'll build automated test frameworks, harden our CI/CD pipelines, and ensure that software deployed to real factories and retail stores is reliable, performant, and secure. This role blends hands-on testing with DevOps ownership: you won't just find bugs, you'll build the infrastructure that prevents them from shipping.

Key ResponsibilitiesTest Strategy & Planning

• Define and own the end-to-end test strategy across edge, cloud, and frontend components
• Create test plans, test cases, and acceptance criteria for new features in collaboration with product and engineering
• Establish quality gates and release criteria for edge firmware, backend services, and dashboards
• Track and report quality metrics (defect density, escape rate, test coverage, MTTR)

Test Automation

• Build and maintain automated test suites for REST/GraphQL APIs (Pytest, Postman/Newman, or similar)
• Develop UI automation for web dashboards (Playwright, Cypress, or Selenium)
• Write integration tests for event pipelines (NATS JetStream, PostgreSQL/TimescaleDB) validating high-throughput event ingestion and analytics accuracy
• Create test harnesses and simulators for edge-device scenarios (camera feeds, network interruptions, device restarts, firmware updates)
• Validate computer vision pipeline outputs against ground-truth datasets (regression testing for model and pipeline changes)

DevOps & CI/CD

• Integrate automated tests into GitHub Actions CI/CD pipelines, including GPU-based and cross-architecture (amd64/arm64) builds
• Manage test environments using Docker and Kubernetes (K3s), for both cloud and edge targets
• Set up monitoring, logging, and alerting for test environments and staging deployments (Prometheus, Grafana, or similar)
• Automate deployment verification and smoke tests for edge device rollouts
• Contribute to infrastructure-as-code (Terraform) for reproducible test infrastructure

Performance, Reliability & Security Testing

• Design and run load/stress tests for event ingestion and real-time analytics (Locust, k6, or JMeter)
• Test system behaviour under degraded conditions: network loss, low bandwidth, edge-device resource constraints
• Conduct security-focused testing: authentication/authorization flows, API abuse cases, data encryption validation
• Verify data integrity across the edge-to-cloud pipeline (no lost or duplicated events)

Collaboration & Ownership

• Work closely with the computer vision/ML team to define acceptance criteria for model and pipeline releases
• Partner with backend and frontend engineers to build testability into the platform from design onward
• Reproduce, triage, and document field issues from customer deployments
• Take end-to-end ownership of release quality, from test design through production verification

Required Qualifications

• 12 years of experience in software QA/testing, with at least 12 years in test automation
• Strong proficiency in Python (or Node.js/Java) for writing automated tests and tooling
• Hands-on experience with API testing (REST; GraphQL a plus) and HTTP fundamentals
• Experience with UI automation frameworks (Playwright, Cypress, or Selenium)
• Familiarity with SQL databases and validating data correctness through queries
• Working knowledge of Docker and containerization; comfort running services locally and in test environments
• Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or similar)
• Experience with cloud platforms (AWS, GCP, or Azure) or Linux server administration
• Strong analytical and debugging skills; ability to isolate issues across a distributed system
• Excellent communication and documentation skills

Preferred Qualifications

• Experience testing real-time / event-driven systems (NATS, Kafka, RabbitMQ, MQTT)
• Exposure to edge computing or IoT testing (Jetson, AWS IoT Greengrass, embedded Linux devices)
• Familiarity with time-series databases (TimescaleDB, InfluxDB) and validating analytics pipelines
• Experience with performance/load testing tools (Locust, k6, JMeter)
• Exposure to computer