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Job Title:

Quality Control (QC) Engineer – Fresher

Experience:

Freshers (0–1 Year)

Job Summary

We are looking for a detail-oriented and enthusiastic Quality Control (QC) Engineer to join our QA team. The ideal candidate should possess strong knowledge of Manual Testing concepts and a working understanding of Automation Testing using Selenium and Java. The candidate will be responsible for ensuring software quality through test planning, execution, defect tracking, and validation activities.

Key Responsibilities

• Analyze business and functional requirements to create effective test scenarios and test cases.
• Perform comprehensive manual testing of web and enterprise applications.
• Execute Functional, Regression, Integration, System, Smoke, and User Acceptance Testing (UAT).
• Identify, document, track, and verify defects throughout the testing lifecycle.
• Validate bug fixes and perform retesting activities.
• Participate in test planning, test execution, and test reporting activities.
• Support automation testing efforts by executing and maintaining automation scripts.
• Collaborate with developers, business analysts, and stakeholders to ensure product quality.
• Prepare and maintain testing documentation and test evidence.

Required Technical Skills

Manual Testing

• Strong understanding of:
• Software Testing Life Cycle (STLC)
• Software Development Life Cycle (SDLC)
• Test Case Design Techniques
• Defect Life Cycle
• Functional Testing
• Regression Testing
• Integration Testing
• System Testing
• Smoke Testing
• Sanity Testing
• User Acceptance Testing (UAT)
• Test Planning and Test Execution
• Experience in defect reporting and tracking tools.
• Basic SQL knowledge for database validation and testing.

Automation Testing

• Working knowledge of Selenium WebDriver.
• Good understanding of Java programming fundamentals.
• Knowledge of TestNG or JUnit.
• Understanding of automation frameworks and test automation concepts.
• Experience with XPath, CSS Selectors, and Web Element Locators.
• Basic knowledge of Data-Driven and Keyword-Driven Frameworks.

Educational Qualification

• B.Tech
• B.Sc (Computers)

Preferred Skills

• Internship, certification, or project experience in Software Testing.
• Knowledge of API Testing tools such as Postman is an added advantage.
• Familiarity with version control tools such as Git.
• Good analytical and problem-solving skills.
• Strong communication and documentation skills. 

Data Quality Engineer

Engineering - Hyderabad, Telangana

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Data Quality Engineer 

Overview 

We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. 

Our core data quality stack includes: 

Data Quality Frameworks 

• Delta Live Tables expectations for declarative quality enforcement 
• Great Expectations for comprehensive data validation 
• Databricks data profiling and quality monitoring 

Platform & Tools 

• Databricks SQL and PySpark for quality checks at scale 
• Unity Catalog for lineage tracking and governance compliance 
• Python for custom validation logic and anomaly detection 

Observability 

• Quality metrics dashboards and alerting 
• Data profiling and statistical analysis 
• Anomaly detection and drift monitoring 

Key Responsibilities 

• Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations 
• Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages 
• Develop data profiling processes to understand data distributions, patterns, and anomalies 
• Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) 
• Implement anomaly detection mechanisms to identify data drift and quality degradation 
• Create quality dashboards and alerting systems for proactive issue identification 
• Collaborate with data engineers to embed quality checks into ETL/ELT pipelines 
• Partner with data architects to establish data quality standards and governance policies 
• Investigate and perform root cause analysis for data quality issues 
• Document data quality rules, thresholds, and remediation procedures 
• Support data certification processes for simulation-ready and ML-ready datasets 
• Drive continuous improvement in data quality practices and tooling 

Preferred Qualifications 

• 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality 
• Track record of implementing enterprise-scale data quality frameworks 
• Experience with Lakehouse architectures (Delta Lake, Iceberg) 
• Familiarity with real-time data quality monitoring for streaming pipelines 
• Experience working in agile, cross-functional teams 

Highly Desirable 

• Experience with data quality for digital twin or simulation platforms 
• Familiarity with operational state data validation and temporal consistency checks 
• Experience with graph data quality validation (Neo4j or similar) 
• Exposure to ML data quality (feature validation, training data quality) 
• Experience with data observability platforms 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

Key Responsibilities:

● Work closely with product managers, designers, frontend developers, and other

cross-functional teams to ensure the seamless integration and alignment of frontend and

backend technologies, driving cohesive and high-quality product delivery.

● Develop and implement coding standards and best practices for the backend team.

● Document technical specifications and procedures.

● Stay up-to-date with the latest backend technologies, trends, and best practices.

● Collaborate with other departments to identify and address backend-related issues.

● Conduct code reviews and ensure code quality and consistency across the backend team.

● Create technical documentation, ensuring clarity for future development and

maintenance.

Requirements;

● Experience: 4-6 years of hands-on experience in backend development, with a strong

background in product-based companies or startups.

● Education: Bachelor’s degree or above in Computer Science or a related field.

● Programming skills: Proficient in Python and software development principles, with a

focus on clean, maintainable code, and industry best practices. Experienced in unit

testing, AI-driven code reviews, version control with Git, CI/CD pipelines using GitHub

Actions, and integrating New Relic for logging and APM into backend systems.

● Database Development: Proficiency in developing and optimizing backend systems in

both relational and non-relational database environments, such as MySQL and NoSQL

databases.

● GraphQL: Proven experience in developing and managing robust GraphQL APIs,

preferably using Apollo Server. Ability to design type-safe GraphQL schemas and

resolvers, ensuring seamless integration and high performance.

● Cloud Platforms: Familiar with AWS and experienced in Docker containerization and

orchestrating containerized systems.

● System Architecture: Proficient in system design and architecture with experience in

developing multi-tenant platforms, including security implementation, user onboarding,

payment integration, and scalable architecture.

● Linux Systems: Familiarity with Linux systems is mandatory, including deployment and

management.

● Continuous Learning: Stay current with industry trends and emerging technologies to

influence architectural decisions and drive continuous improvement.

Benefits:

● Competitive salary.

● Health insurance.

● Casual dress code.

● Dynamic & Collaboration friendly office.

● Hybrid work schedule.

Industry

• IT Services and IT Consulting

Employment Type

Full-time

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

Job Description: Principal Engineer (Full Stack Architect)

Job Title: Full Stack Architect

Location: Hyderabad, India

Experience: 15Years to 20 years (4+ years in Enterprise Architecture)

Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.

Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning

Job Summary

As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.

This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.

Roles and Responsibilities

Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.

Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.

Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.

Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.

Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.

Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.

Mentorship: Mentor junior engineers and foster a collaborative team environment.

Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.

Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.

Mandatory Requirements

Experience: 12+ years of full-stack development experience, with significant expertise

in building and architecting applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

 Distributed Systems: Proven track record of architecting and implementing large-scale

distributed systems with a focus on reliability, scalability, and performance.

 Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),

with a deep understanding of cloud services such as compute, storage, networking, and

security.

 Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like

Neo4j. Experience with vector databases for high-dimensional data processing.

 Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs

for solving complex data relationships.

 Data Structures & Algorithms: Strong knowledge of DSA with practical experience in

solving complex technical challenges.

 Microservices Architecture: Experience in designing and developing microservices-based

architectures and ensuring high availability.

 DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).

 Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.

Nice-to-Have Requirements

 Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).

 Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.

 Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).

 AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.

 Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.

 System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.

 Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).

Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.

JobResponsibilities:

• Executing Power BI administrative tasks to oversee the management of licenses, capacity, workspaces.

• Manage data sources and creation of new connections/ workspaces

• Installation and maintenance of Power BI gateways

• Maintaining, administering, and optimizing the Power bi premium capacities and performance tuning

• Power BI license and cost management

• Hands on experience in CI/CD pipelines

• Testing new features from monthly Power BI updates and enabling it for broader groups

• Developing and maintaining PowerShell scripts, Power Automate for regular task automation.

• Experience in Power BI data modeling concepts and creation of new Power BI reports

• Deploying, automating, and maintaining Azure-based cloud services

• Evaluating new technology options and vendor products

• Developing and maintaining custom SharePoint Online pages along with administrative management

• Completing certifications and training on the latest technologies

• Identifying and documenting common recovery procedures for service-impacting incidents Establishing and following a Rhythm of Business (ROB) to ensure that all break/fix issues are resolved promptly or escalated to the appropriate group

• Developing, communicating, and driving Service Improvement Plans to maintain an environment of continuous improvement with a focus on rapid growth, world-class quality, and cost-efficacy

• Driving operational aspects of incident management, ensuring SLAs for time, quality, and customer satisfaction are met for our global infrastructure

• Managing customer interaction with the utmost professionalism, courtesy, and responsiveness

• Being responsible for monitoring, data collection, and configuration management, as well as disaster recovery planning, capacity engineering, reliability improvement initiatives, and platform automation.

CandidateProfile:

Eligible Branches:

• B. Tech./B.E. (CSE/ IT only)

Eligibility criteria:

• 60% plus or equivalent in Computer Science/ Information Technology Only

• 60% plus in 10th and 12th

• No active backlogs

Skills andAbilities:

• Knowledge about Power BI Admin and Azure services

• Excellent communication skills (spoken and written English)

• Ability to work in rotational shifts

• High-leveltechnicaltroubleshooting ability

• Customer orientation

• Excellent problem resolution, judgment, and decision-making skills

• Inclined towards learning scripting languages like JavaScript, Node .js, Java, Python.

Experience: 1-5 year of experience

Location: Noida / Mumbai / Hyderabad

Key Responsibilities:

Responsible for ensuring the quality of Salesforce platform, through the creating of test plans, test cases, scenarios, scripts, and procedures for new features, bugs, and enhancements. Ensure the successful deployment of projects by defining and implementing end-to-end product test strategies.

Analyzes functional and technical requirements and translate them into manual test scenarios.

Communicate with AQA Engineers to make our e2e-scenarios automated

Participate in scrum team activities and be the voice of quality in your team

Collaborate with other teams, product office, support team and release managers.

Required Skills:

2+ years as a QA Engineer/Tester (Relevant experience including salesforce)

Knowledge of the Agile SDLC utilizing JIRA

Experience creating/updating and maintaining manual test cases, test plans, and test suites

Experience with test case management tools as well as maintaining test cases outside of tools

Familiar with bug tracking tools and creating bug reports

Experience troubleshooting and reproducing issues and defects

Experience testing web service APIs and using API testing tools such as Postman

Will be great to see:

Experience with Salesforce Sales Cloud or SF certification

Experience with SQL and query writing

Comfortable with automated testing tools (Selenium)

Experience with Java

Knowledge of Apex Jav

Prelude

Required Skills

• 2+ years of RELEVANT EXPERIENCE in ReactJS
• Strong Computer Science fundamentals - data structures and algorithms
• Strong understanding of ReactJS Ecosystem (State management, Component-based design, Hooks, Responsive design)
• Good with CSS (converting UI designs to code)
• Writing clean and maintainable code
• Proficient understanding of APIs and wiring them   
• Strong testing, debugging, and problem-solving skills
• Familiar with modern development practices - writing clean code, git versioning, understanding development workflows