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Lead SDET/QA Test Automation Engineer – AI Platforms (Agentic AI)

📍 Hyderabad, India | Full-Time | On-site / Hybrid

📈 Experience: 6–10 Years

The Role

We're looking for a hands-on Lead SDET to define and scale quality engineering across our healthcare AI platform.

This is an 80% IC and 20% leadership role, focused on building next-generation testing infrastructure, establishing quality standards, and mentoring engineers.

What You'll Do

Quality Architecture

• Define company-wide quality strategy.
• Architect automation frameworks from the ground up.
• Establish testing standards and engineering practices.

AI Systems Testing

Own validation strategies for:

• LLM Applications
• Voice AI Platforms
• Conversational AI
• Agentic Systems
• Multimodal AI

Build frameworks for:

• Hallucination testing
• Safety testing
• Regression detection
• AI performance measurement

Automation Engineering

Drive testing across:

• APIs
• Databases
• Web Applications
• Mobile Applications
• Distributed Systems
• Performance Engineering

Leadership

• Mentor and guide engineers.
• Drive engineering excellence.
• Influence release and architecture decisions.

What We're Looking For

• 6–10 years in SDET or QA Automation.
• Strong product engineering background.
• Expert-level coding in Python and Java.
• Deep expertise in:
• Selenium
• Playwright
• Appium
• PyTest
• TestNG
• REST Assured
• Strong understanding of:
• Distributed Systems
• System Design
• CI/CD
• SDLC
• STLC
• Experience building automation frameworks from scratch.
• Strong mentoring and technical leadership skills.

Why Join Us?

• Own quality engineering for category-defining AI products.
• Influence engineering strategy and architecture.
• Work on cutting-edge healthcare AI systems.

Role & Responsibilities

• Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
• Design atomic star schema data models (fact and dimension tables) across multiple business domains
• Define and implement aggregation and KPI layers aligned to business reporting requirements
• Establish data modelling standards, naming conventions, and design patterns across teams
• Ensure alignment with enterprise data strategy and roadmap
• Translate business processes into scalable and reusable data models
• Write and review SQL, Python, and Spark code for pipelines and transformations
• Build and validate data models in Snowflake or Databricks
• Deliver pipelines using AWS services (S3, Glue, Athena)
• Perform data reconciliation and validation across layers (source → curated → BI)
• Ensure data quality, consistency, and integrity across the pipeline
• Own end-to-end SDLC (requirements → design → build → test → release → operate)
• Lead and unblock data engineers and analysts on day-to-day delivery
• Identify blockers, dependencies, and risks early, and propose solutions
• Align delivery with programme roadmap and milestones
• Track execution using Jira and maintain documentation in Confluence
• Gather and validate requirements across multiple business domains
• Translate business requirements into technical designs and data models
• Communicate architecture decisions clearly to non-technical stakeholders
• Drive cross-team alignment to ensure consistent, reliable, and trusted outputs

Ideal Candidate

• Strong Data Architect Profile (AWS / Medallion Architecture / Analytics Transformation)
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture with strong exposure to large-scale analytics transformation programmes
• Mandatory (Experience 2) – Strong hands-on experience designing and implementing Medallion Architecture (Bronze / Silver / Gold layers) on AWS-based data platforms
• Mandatory (Experience 3) – Strong hands-on experience with Snowflake or Databricks, including data modelling, performance optimization, transformation pipelines, and scalable data warehouse implementations
• Mandatory (Experience 4) – Must have strong expertise in advanced SQL including complex joins, CTEs, window functions, query optimization, and performance tuning
• Mandatory (Experience 5) – Must have Hands-on development experience with Python and Apache Spark/PySpark for large-scale data transformation and processing pipelines
• Mandatory (Experience 6) – Strong experience working with AWS data services including S3, Glue, Athena, and cloud-native analytics/data lake architectures
• Mandatory (Experience 7) – Strong experience in end-to-end ETL/ELT pipeline development including ingestion, transformation, reconciliation, validation, testing, deployment, and production support
• Mandatory (Experience 8) – Experience working across transaction-heavy enterprise domains such as Finance, Supply Chain, HR, Customer, or Operations datasets
• Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days will be considered
• Preferred (Experience) – Experience working with ERP / enterprise systems such as SAP, Oracle, Salesforce, or similar enterprise platforms
• Preferred (Frameworks) – Familiarity with APQC, SCOR, or enterprise process modelling frameworks is an added advantage

Position Title: Software Engineer

Position Type: Full Time

Department: Research and Development

Reports to: First Level Manager, Indian Development Centre.

Company Background:

Affiliated with US Group companies, CGLIA Solutions LLP is an innovative Software Product Development Organization developing high available, highly secure, cloud-based enterprise software products catering to the needs of Large Research facilities, University medical centres, Hospitals, Pharma companies in US and worldwide ultimately leading to the development of life saving medications.

CGLIA is known for helping Software professionals to unleash their creativity, turning them into world class professionals, and building their career.

Job Summary:

As a Software Engineer, you assist in the design development of new products for our renowned customers worldwide.

Enhancing the existing applications by identifying the areas of improvements, making recommendations and designing and implementing them. 

Ideal candidate should be a self-starter and, should have excellent problem-solving skills and passionate about developing high quality innovative products exceeding the customer expectations and needs. A keen interest for quality at every stage of development is a must.

Looking for a highly motivated individual who is looking to grow their career in a challenging environment.

Responsibilities:

• Participating in discussion with Product Management teams and Generating the Requirement Specification document that has covers both the functional and Non-functional requirements.
• Participating in discussion with the technical teams and generating the design documents.
• Develop code and update the existing code, ensuring that all the code meets the agreed upon requirements.
• Perform intensive testing of all new and existing programs to ensure they are free of errors and function as intended
• Work closely with the cross functional teams like UI Developers, Business Analysts and Management teams.
• Cultivate an environment of collaboration, commitment, accountability, and creativity and deliver products and services on time with quality delight the customer.
• Actively participating in the hiring process, for Organization growth.
• Updates job knowledge by studying latest development tools, programming techniques, and participating in professional organizations.
• Willing to undertake additional tasks and responsibilities as may be reasonably expected of the role and as necessary in order to achieve the objectives of the organization.

Qualifications: (Education, Experience, Skills and Knowledge)

·        Bachelor’s Degree in Computer Science or Information Technology or any equivalent degree.

·        At least 4 plus years of hands on experience in developing cloud-based software.

·        Expertise in developing cloud based distributed applications and must have experience in object-oriented design.

·        Strong hands on experience in using Java, Hibernate, Spring technology stack (Spring MVC, Spring Data, Spring Cloud, Spring Batch, Spring security etc.) along with open source technologies.

• Experience building web and mobile applications using frontend technologies Angular (Angular 1/Angular 2), Bootstrap, Material Design, UX/UI, JavaScript, HTML5, and CSS.

·        Experience on any one of databases like MySQL, MS SQL, PostgreSQL, and Oracle.

·        Exposure with more than one of the Software Development Methodologies.

·        Knowledge on the Code Static Analyzer tools like SonarQube, PMD etc. and, DevOps Tools.

·        Expertise in Security related to Web Applications and mobile applications. and other open source and commercial tools.

·        Ability to work independently and along with teams.

·        Impeccable written English skills, and Oral communication skills along with outstanding interpersonal skills.

·        Eagerness and willingness to learn new technologies.

About the job

Job Description: Sales Executive 

Education Sector

Market Segment: B2B

About Ezyschooling

Ezyschooling is a technologically driven admissions platform that bridges the gap between admission-seeking parents and schools. We believe that parenting is the toughest journey in a person’s life, and so we have made it our mission to create a one-stop destination for all your parenting worries.

Our quest is to guide parents in their decision of choosing the right school for their child as we understand the impact this decision can have on their family’s future. Parents aren’t the only group we are helping through our platform. We help schools boost their admissions by completely digitising and streamlining the process.

Overview of the Role:

As a Sales executive specializing in the Admission Business, you will be responsible for driving sales and revenue growth within your assigned territory by promoting and selling Ezyschooling Services to various educational institutions, including CBSE, ICSE, IGCSE, IB, and Boarding schools.

Your primary focus will be on understanding the unique admission challenges of each type of institution, building relationships with key decision-makers, and achieving sales targets.

Key Responsibilities:

A. Sales and Business Development:

Develop and implement a comprehensive sales strategy for the admission business, targeting Preschools, CBSE, ICSE, IGCSE, IB, and boarding schools within the assigned territory.

Identify and prioritize target schools and institutions, generating leads through various channels such as networking, referrals, and online research.

Conduct thorough research on individual schools, understand their admission processes, pain points, and requirements, and tailor admission sales pitches and product offerings accordingly.

Engage with school administrators, principals, admission officers, and other stakeholders to demonstrate the value and benefits of the admission management solutions.

Conduct product presentations and demonstrations to highlight key features and advantages of the solution.

Develop and negotiate pricing proposals, contracts, and agreements in collaboration with the sales team and the legal department.

B. Relationship Building and Account Management:

• Build and maintain strong relationships with key decision-makers 
• Act as a trusted advisor to schools, providing expert guidance on streamlining admission processes, enhancing efficiency, and improving the overall admission experience.
• Conduct regular check-ins with existing customers, address inquiries, and provide excellent customer service.
• Identify upselling and cross-selling opportunities within the customer base and develop strategies to maximize revenue.

C. Area Management:

• Effectively manage and prioritize the assigned area, including travel planning, scheduling meetings, and optimizing sales routes.
• Attend relevant conferences, trade shows, and educational events to network, gather market intelligence, and represent the organization.

Requirements:

• Proven experience in sales and business development, preferably within the education sector, specifically in selling admission management solutions to CBSE, ICSE, IGCSE, IB, and boarding schools.
• Strong understanding of the admission processes and challenges faced by educational institutions.
• Excellent communication and presentation skills, with the ability to effectively engage with school stakeholders at all levels.
• The proactive and results-driven mindset with a track record of meeting or exceeding sales targets.
• Ability to build and nurture long-term relationships with customers.
• Strong negotiation and closing skills, with attention to detail in contract and agreement management.
• Exceptional organizational and time management skills, with the ability to prioritize tasks effectively.
• Willingness to travel within the assigned territory as required.
• Bachelor's or Master’s degree in business, marketing, education, or a related field is preferred.

Why Ezyschooling & What We Offer:

• Startup Environment - Work with a passionate and energetic team driven by results.
• Growth & Compensation: Competitive Salary + High Incentive + Conveyance

Few Pointers

• Years of Experience: 1+ years (1+preferably in EdTech/B2B/School sales)
• Nature of Engagement: Full time
• Salary: As per industry standard.
• Work Location: Hyderabad 
• The number of positions: 01
• Role Type: Full time
• Product website Ezyschooling.com

Role: AI/ ML Engineering

Experience: 3 to 5 yrs

Work location: Hyderabad

Interview mode: Virtual

Notice period: Immediate Joiner

Key Responsibilities:

·        Design and implement RAG pipelines and AI agentic systems using cutting-edge LLM frameworks.

·        Fine-tune open-source LLMs and develop narrow, domain-specific models.

·        Build and maintain ML pipelines using MLFlow and ensure reproducibility, auditability, and version control.

·        Collaborate with cross-functional teams to deploy ML systems into scalable, secure, and production-ready environments.

·        Containerize and serve models using Docker, Kubernetes, and FastAPI.

·        Automate CI/CD workflows using Azure DevOps, with integrated monitoring and alerts.

·        Integrate authentication and authorization flows using Azure AD and Microsoft Graph API.

·        Optimize deployed models for latency, cost-efficiency, and operational maintainability.

Required Skills & Experience:

·        Strong foundation in Computer Science, software architecture, and distributed systems.

·        Proficiency in Python, including both object-oriented and functional programming paradigms.

·        Hands-on experience with open-source LLMs, embedding models, and vector databases.

·        Practical implementation of RAG pipelines and LLM agentic systems.

·        Strong working knowledge of MLOps tooling (e.g., MLFlow), model versioning, and reproducible experiments.

·        Experience deploying ML systems using Docker, Kubernetes, and FastAPI or equivalent frameworks.

·        Proven experience working in Azure cloud ecosystem:

·        Azure DevOps for build/release automation.

·        Azure GraphAPI for accessing organizational data.

·        Secure identity flows using Azure AD.

Position Overview:

As a Shopify Developer, you will play a pivotal role in the development and customization of Shopify themes. Your expertise in HTML5, SASS/CSS3, and JavaScript, coupled with proficiency in VueJS or React, will drive the creation of dynamic and responsive web designs. Operating within EST and GMT work times, you will utilize CI/CD frameworks and pipelines to streamline development processes, emphasizing performance optimization techniques such as FCP, CLS, and LCP. Your familiarity with Shopify site architecture and integration with third-party apps like Algolia and Boost will enable you to implement custom solutions tailored to clients' needs.

Additionally, your strong grasp of Liquid code and Shopify JS APIs will facilitate troubleshooting and resolution of front-end technical challenges, ensuring cross-browser compatibility and adherence to performance budgets. Your ability to work both independently and collaboratively, coupled with a keen attention to detail and problem-solving skills, will be invaluable in driving the success of our projects. While certification and experience with Shopify Plus and API development are advantageous, your dedication to understanding technical architecture and delivering end-to-end project implementations will be key to your success in this role. 

Key Responsibilities:

• Expert in Shopify theme development and customization

• An expertise in HTML5, SASS/CSS3 and JavaScript and expertise with VueJS or React

• Willing to work on EST and GMT work time.

• Experience in CI/CD frameworks and using pipeline.

• Experience in Performance optimization, performance budget, FCP, CLS, LCP

• Experience of Shopify site Architecture and its custom integration with Third party apps like Algolia, Boost etc...

• Working knowledge in code optimization and improving site performance in shopify theme.

• Ability to understand anything that uses JSON REST/ GraphQL API.

• Proficiency in working with different Shopify JS APIs, Strong in Liquid code.

• Offering expertise in troubleshooting and resolution of front-end-related technical problems, guiding the team through complex technical challenges.

• A thorough understanding of Shopify admin/backend system and cross-browser compatibility issues

• A strong understanding of responsive web design techniques

• Should be able to do unit testing.

• Excellent problem-solving skills and attention to detail

• Ability to work independently and in a team environment

Required Qualifications:

• Shopify certification

• Experience with Shopify Plus store development.

• Strong in API development and customization, App Development using PHP/Laravel or any scripting language.

• Hands on experience in integrating API/web services.

• Shopify End to end project implementation.

• Ability to understand the technical architecture design of the solution

Data Engineer — AI / BI

Artificial Intelligence & Business Intelligence | Data & Analytics

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

Position Overview

We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation

Responsibilities:

Data & AI Platform Engineering (Databricks-Centric):

• Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
• Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
• Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
• Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:

• Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
• Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
• Design standardized data ingestion processes with automated error handling, retries, and alerting.

 Data Quality, Monitoring, and Governance:

• Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
• Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
• Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:

• Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
• Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
• Work with security teams to audit and certify compliance controls.

   AI/ML-Ready Data Foundation:

• Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
• Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
• Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:

• Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
• Build data marts and warehousing solutions using platforms like Databricks.
• Optimize data storage and access patterns for performance and cost-efficiency.

 Documentation & Enablement:

• Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
• Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
• Conduct code reviews and promote reusable patterns and frameworks across teams.

  Reporting and Accountability:

• Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
• Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:

• Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
• Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
• Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
• Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:

• Prior UMGC or USM experience preferred.
• Experience with Databricks Unity Catalog for metadata management and access control.
• Experience deploying ML models at scale using MLFlow or similar MLOps tools.
• Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

Responsibilities

• Work in a fun and fast-paced environment.
• Participate in requirements gathering, design, development, QA, support.
• Communicate with different stakeholders such as QA, Project Managers and Product Owners
• Discover, evaluate, and implement new technologies to maximize development efficiency.
• Groom, mentor and upskill team members with modern technologies and development practices

Key Competencies:

• 5-8 Years of relevant experience in front-end development.
• At least 5-4 years of working experience with the React ecosystem.
• In-depth knowledge of TypeScript, CSS, and HTML.
• Strong proficiency in Vanilla JavaScript, DOM, Browser API’s and ES6 Features.
• Strong Knowledge of State Management with React and relevant workflows.
• Good Understanding of Modern frontend workflows with NPM, Webpack, Babel etc.
• Knowledge of modern programming paradigms like functional and reactive programming.
• Knowledge of testing frameworks including Chai, Mocha and Sinon or equivalent.
• Experience with using browser-based dev tools for trouble shooting and enhancing the performance.

Good to have skills:

• Knowledge of cloud-based services like AWS and GCP.
• Working knowledge of Video streaming and playback
• Knowledge of modern programming paradigms like functional and reactive programming.

1. Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
2. Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
3. Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
4. Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
5. Analytics and analysis of data and provide insights and recommendations
6. Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
7. Work with the product team in developing new features, identifying solution gaps, etc.​
8. Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.​

1. At least 2+ years of experience in IT Infrastructure Management
2. Experience in working with large-scale IT infra, including applications, databases, and networks.​
3. Experience in working with monitoring tools, automation tools
4. Hands-on experience in Linux and scripting.
5. Knowledge/Experience in the following technologies will be an added plus:​ ​ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.

Technical Lead – AUTOSAR

Location : Hyderabad

Fulltime

Job Description:

Must Have:

Proficient in development of Base Software in AUTOSAR.

Experience in configuration of different AUTOSAR BSW components (Comms/Diags/Memory).

Experience of working in any of the commercial AUTOSAR stack’s (EB/Vector/KPIT/Mentor/Arccore etc.).

Very good problem resolution and debugging skills.

Very good communication and cross-cultural skills.

Good To Have:

Experience of working in Vector AUTOSAR Stack and related tool chain.

Experience of working in RTE and APSW layers.

Experience in people management.

Working Knowledge in IS026262.

Experience in latest uc platforms (Infineon/Renesas/TI/NXP).

Job R&R:

Mentor/Lead a team of around 5-10 engineers.

Role might include supervisory responsibility.

Work in SW development of ADAS Products.