it support engineer

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence

Role Overview

We are looking for a QA Engineer to own testing across the full platform. In a compliance context, a software defect is not just a technical issue — it carries real financial and regulatory consequences. You will be involved from the earliest stages of development, defining acceptance criteria, building test frameworks, and ensuring that every component of the system meets the accuracy and reliability standards required before it goes near a production compliance workflow.

Key Responsibilities

Test Strategy & Planning

•       Develop and own the overall test strategy for the platform, covering all layers — data pipelines, ML models, APIs, application services, and frontend interfaces.

•       Work with the Product Manager to define acceptance criteria for every user story before development begins, not after.

•       Define accuracy and reliability thresholds for each ML model in scope — what performance levels are required before a model is considered production-ready.

•       Maintain a living test plan that evolves with the product as new use cases are added.

Functional & Business Logic Testing

•       Translate compliance rules and business logic into structured, executable test cases.

•       Work closely with the subject matter experts to identify edge cases and exception scenarios that automated tests must cover.

•       Validate that AI outputs — channel routing decisions, classification recommendations, and generated responses — are correct against defined compliance ground truth.

•       Test end-to-end workflows from data ingestion through to user-facing outputs, ensuring correctness at every stage.

ML & AI System Testing

•       Build regression test suites for all deployed models so that retraining does not break existing correct behaviours.

•       Test model outputs for consistency, groundedness, and accuracy using both automated evaluation and structured manual review.

•       Validate fallback mechanisms — ensure the system behaves correctly when model confidence is low or an upstream service is unavailable.

•       Test feedback loop integrity — verify that validator decisions are correctly captured and routed to the model retraining pipeline.

API & Integration Testing

•       Build and maintain API test suites for all integration endpoints — covering correctness, error handling, and edge cases.

•       Perform load and performance testing on real-time inference endpoints to validate behaviour under expected production volumes.

•       Test all third-party and government portal integrations against documented API contracts, including failure and retry scenarios.

User Acceptance & Production Readiness

•       Coordinate and facilitate user acceptance testing with the RIL compliance and assurance teams.

•       Produce a formal production readiness assessment before each deployment, documenting what has been tested, what passed, and any known residual risks.

•       Monitor for defects in production and manage the defect lifecycle through to resolution.

Required Qualifications

Education

•       B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•       4+ years of QA engineering experience with at least 2 years testing AI, ML, or data-heavy systems in production.

•       Experience writing and maintaining automated test frameworks, not just manual testing.

•       Demonstrated ability to translate complex business rules into structured test cases.

Technical Skills

•       Test Automation: Pytest, Selenium, Playwright, or equivalent for backend and frontend automation.

•       API Testing: Postman, REST-assured, or equivalent; experience with contract testing.

•       Performance Testing: Locust, JMeter, or equivalent for load and stress testing.

•       ML Testing: Experience validating ML model outputs, building evaluation datasets, and running regression suites against retrained models.

•       Data Testing: Experience validating data pipeline outputs — schema checks, completeness, and consistency.

•       Languages: Python for test scripting and automation.

•       CI Integration: Experience integrating test suites into CI/CD pipelines for automated test execution.

Preferred Qualifications

•       Prior experience testing compliance, fintech, or legal technology systems where business logic accuracy is critical.

•       Familiarity with LLM evaluation frameworks — RAGAS, TruLens, or equivalent.

•       Experience with exploratory testing techniques for AI systems where outputs are probabilistic.

•       Prior exposure to regulated environments where formal sign-off and test documentation are required.

About the Role

We are seeking an AI Product Manager to lead the full product lifecycle of our SaMD-compliant AI platform. You will act as the bridge between data scientists, developers, and clinicians, ensuring timely delivery of regulatory-grade features that align with hospital pilots and scale for long-term adoption.

This role requires hands-on experience with Agile delivery, CI/CD pipelines, and healthcare SaaS products, along with strong communication and presentation skills for customer-facing interactions.

Key Responsibilities

• Own the end-to-end product lifecycle, from roadmap definition to delivery and scaling.
• Translate clinical and technical requirements into actionable product features.
• Drive Agile ceremonies (sprint planning, backlog grooming, stand-ups, retrospectives).
• Prioritize product backlog to balance hospital pilot needs with long-term scalability.
• Ensure regulatory-grade quality standards (SaMD compliance) are met.
• Collaborate with engineering, data science, and clinical teams for delivery.
• Manage CI/CD release pipelines in coordination with DevOps teams.
• Prepare reports, dashboards, and customer-facing presentations (PowerPoint) to communicate progress, outcomes, and next steps.
• Engage with stakeholders, hospital partners, and customers to gather feedback and refine product vision.

Requirements

• 6–10 years of experience in Product or Delivery Management.
• Strong exposure to AI/ML-driven platforms or clinical healthcare SaaS.
• Proven expertise in Agile methodologies and CI/CD delivery environments.
• Experience working with cross-functional teams (data scientists, engineers, clinicians).
• Strong communication and stakeholder management skills.
• Excellent ability to create presentations, reports, and customer-facing documents.
• Prior experience with SaMD-compliant or regulated products (preferred).
• Bachelor’s or Master’s in Engineering, Computer Science, Healthcare IT, or related field.

Why Join Us?

• Work on cutting-edge AI products shaping the future of healthcare.
• Collaborate with clinicians, hospitals, and AI experts to create real-world impact.
• Be part of a fast-scaling, innovation-driven environment.

The Store Manager is responsible for overseeing daily operations of the apparel store, ensuring excellent customer service and sales performance. They manage staff, maintain inventory levels, and ensure visual merchandising aligns with brand standards. The role includes analyzing sales data and implementing strategies to meet targets. Strong leadership and communication skills are essential. Experience in fashion retail is preferred.

Job Description

▪ You are responsible for setting up, operating, and monitoring LS system solutions on premise and in the cloud

▪ You are responsible for the analysis and long-term elimination of system errors

▪ You provide support in the area of ​​information and IT security

▪ You will work on the strategic further development and optimize the platform used

▪ You will work in a global, international team requirement profile

▪ You have successfully completed an apprenticeship / degree in the field of IT

▪ You can demonstrate in-depth knowledge and experience in the following areas:

▪ PostgreSQL databases

▪ Linux (e.g. Ubuntu, Oracle Linux, RHEL)

▪ Windows (e.g. Windows Server 2019/2022)

▪ Automation / IaC (e.g. Ansible, Terraform)

▪ Containerization with Kubernetes / Virtualization with Vmware is an advantage

▪ Service APIs (AWS, Azure)

▪ You have very good knowledge of English, knowledge of German is an advantage

▪ You are a born team player, show high commitment and are resilient

The candidate must have 2-3 years of experience in the domain. The responsibilities include:

● Deploying system on Linux-based environment using Docker

● Manage & maintain the production environment

● Deploy updates and fixes

● Provide Level 1 technical support

● Build tools to reduce occurrences of errors and improve customer experience

● Develop software to integrate with internal back-end systems

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

● Develop scripts to automate visualization

● Design procedures for system troubleshooting and maintenance

● Experience working on Linux-based infrastructure

● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)

● Configuration and managing databases such as Mongo

● Excellent troubleshooting

● Experience of working with AWS/Azure/GCP

● Working knowledge of various tools, open-source technologies, and cloud services

● Awareness of critical concepts in DevOps and Agile principles

● Experience of CI/CD Pipeline

Job Description

Must have Skill Sets 

• Go lang + Microservices
• Familiarity with MAC/Linux environment, Shell script 
• GRPC ● JavaScript & JSON 
• Knowledge of microservices and architecture 
• Knowledge of Uber Tech Stack would be a bonus ○ Will ensure candidate who are selected will undergo training on Uber Stack as a part of their induction to Uber 
• Basic SQL knowledge 

Expectations from the candidate 

• Strong hands-on experience in understanding requirements and creating microservices using Go lang.. 
• Exceptional debugging and problem-solving skills on large codebase 
• Be a proactive thinker and demonstrate keen sense to find solutions to challenging problems
• Product sense: Create more than beautiful code. Play a crucial role in choosing what we build and how we build it. 
• A penchant for collaboration & a team player: Work cross collaboratively to drive impact across orgs. Be open to candid feedback for improvement. When required step up to the role of a tech-lead to ensure effective coordination and communication 
• Independent to explore all the end points in UBER environment and coordinate with different Line of Business to understand the correct microservice for a business use case. 
• Ability to convert a high-level PRD into a detailed ERD for execution. Coordinate with business teams to understand the functional requirement and convert it into engineering logic

Primary Skills :

4+ Years with Java

2+ with Microservices

6 months to 1 Year with Golang

Exp : 4+ Years

Location : Bangalore/Hyderabad

Max Budget : 28 Lakhs

End Client : UBER