QA Engineer (Automation + DevOps) — wiseDo Technology Pvt Ltd

Location: Noida, Uttar Pradesh

Employment Type: Full-time

Experience Level: 1–2 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 platform—wiseDo Reason—combines 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 stack—from 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 Responsibilities

Test 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

• 1–2 years of experience in software QA/testing, with at least 1–2 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 vision or ML systems testing (model regression testing, dataset validation, TensorRT/Triton serving)
• Kubernetes (K3s/K8s) experience for test environment management
• Infrastructure-as-code experience (Terraform)
• Knowledge of security testing basics (OWASP, auth flows, encryption verification)
• Familiarity with manufacturing/industrial protocols (OPC-UA, MQTT, ISA-95) — a strong plus
• Previous startup or early-stage company experience

Tech Stack (Current & Expected)

Backend: Python (FastAPI/Django), Node.js, PostgreSQL, TimescaleDB, NATS JetStream, MinIO

Frontend: React, TypeScript, Tailwind CSS, Redux/Zustand

Edge: Docker, Jetson inference frameworks (TensorRT, Triton)

Cloud: AWS (EC2, RDS, S3, IoT Greengrass), Kubernetes (K3s)

DevOps: GitHub Actions, Docker, Linux, Terraform (infrastructure as code)

Testing (expected): Pytest, Playwright/Cypress, Locust/k6, Postman/Newman

APIs & Protocols: REST, WebSockets, OPC-UA, MQTT

What We Offer

• Competitive compensation & equity in a well-funded early-stage venture, with meaningful ESOP
• Rapid skill growth in edge AI, computer vision, and industrial software—areas of significant market demand
• Direct impact on real customer operations; the systems you validate run in factories, warehouses, and retail stores
• Autonomous ownership of quality end to end; minimal bureaucracy
• Learning budget for courses, conferences, and professional development
• Flexible work arrangements and modern work environment
• Health insurance and statutory benefits
• Collaborative founding team with deep expertise in robotics, computer vision, and manufacturing

Why Join wiseDo?

1. Cutting-edge problem space: Edge AI, computer vision, and industrial operations are high-impact, rapidly growing markets
2. Strong founding team: CEO with 10+ years in computer vision and robotics (MathWorks, Addverb); COO with operational excellence background
3. Well-funded & venture-backed: Seed funding in progress; clear path to Series A
4. Real customers: Already deployed in manufacturing and retail environments; not a research project
5. Technical depth: Work alongside computer vision PhDs, robotics experts, and experienced engineers

Interview Process

1. Initial Screening (HR/Hiring Manager) — 15 min
2. Practical QA Round — 45–60 min (design a test strategy or automate a test scenario)
3. Systems & DevOps Conversation — 45 min (CI/CD, environments, debugging a distributed failure)
4. Founder Conversation (CEO) — 30 min (culture fit, ambition, passion)
5. Offer & Discussion

How to Apply

Please send your resume, GitHub profile (or portfolio of test frameworks/automation work), and a brief cover letter explaining why you're interested in wiseDo to [email protected] or reach out directly to our team.

wiseDo Technology Pvt Ltd

Noida, Uttar Pradesh

CIN: U62011UW2026PTC252859

We are an equal opportunity employer and are committed to building a diverse, inclusive team.