Seasoned IT software delivery professional with an experience of 4+ years of hands on development. Expert at following technology sets Proficiency in Java, JEE, and Node.js platforms. Experience with containers, specifically NestJS and Spring Boot. Strong understanding of Spring, Apache, TypeORM, and Spring JPA libraries. High proficiency with development environments and tools such as IntelliJ IDEA or Visual Studio Code (VSCode). Familiarity with API development and testing tools including Swagger, REST, GraphQL, Insomnia, and Postman. Experience with messaging technologies like IBM MQ, ActiveMQ, RabbitMQ, AWS SQS, and Apache Kafka. Skilled in using testing frameworks like JUnit and Jest, and mocking frameworks like EasyMock. Familiarity with AWS technologies. Experience with agile / continuous delivery paradigms of software development and with extreme programming (XP) techniques is a key. Should be an expert craftsman on test first model of Test-Driven Development (TDD). Expert at putting in continuous integration and build/release automation practices. Experience on at least one build server like Bamboo, Teamcity Has ability to envision design for complex functional and technical problems while incrementally evolving the implementation in simple progressive steps of deliveries. You are adept at Pair programming and can comfortably pair with other developers irrespective of maturity/experience levels. You are eager to coach/guide juniors to improve the delivery capability. You are at ease with understanding/supporting the code base written by others and in learning/trying wider technology sets / problem solving methods used in a project. Aware and experienced with code and language/technology best practices. Mandatory Skills Java, JEE, and Node.js platforms. Spring, Apache, TypeORM, and Spring JPA IntelliJ IDEA or Visual Studio Code (VSCode). Swagger, REST, GraphQL, Insomnia, and Postman. IBM MQ, ActiveMQ, RabbitMQ, AWS SQS, and Apache Kafka. Familiarity with AWS Secondary Skills specifically NestJS and Spring Boot Diagnostic and analytical skills Good communication skills Display a flexible attitude Strong troubleshooting skills B.E./B.Tech. Or M.C.A. in Computer Science with 8 + years of Experaince

ob Title: Tech Lead Key Responsibilities As a .NET Tech Lead, you will: Application Development Leadership: Lead the design, development, and maintenance of robust and scalable web applications using the .NET framework (.NET Core Framework) and C#. Database Management: Design, implement, and optimize database schemas, queries, stored procedures, and data access patterns extensively with SQL Server for high-performance applications. Cloud Integration & Optimization: Utilize cloud platforms like Azure, AWS, or Google Cloud to deploy, manage, and optimize cloud-based applications, services, and databases. This includes integrating cloud-native solutions and enhancing application architecture. Collaboration & Communication: Work closely with product managers, UX/UI designers, and QA teams to ensure high-quality and efficient development and deployment of solutions. Code Quality & Reviews: Participate actively in code reviews to ensure code quality, maintainability, and adherence to coding standards across the team. Troubleshooting & Debugging: Identify, troubleshoot, and resolve performance issues, bugs, and complex technical challenges in applications. Agile Leadership: Work within an Agile environment, actively participating in sprint planning, stand-ups, and retrospectives, and potentially guiding team efforts. Continuous Improvement: Stay current with industry trends, technologies, and best practices, and continuously drive improvements in development processes and practices. Mandatory Skills & Experience Technical Proficiency: .NET Development: Solid understanding and experience with .NET Core and .NET Framework development , including ASP.NET, MVC, Web API , and microservices architecture . C#: Strong proficiency in C# programming language . SQL Server Expertise: Extensive experience in designing, developing, and optimizing complex SQL queries, stored procedures, and database objects . Proficient in SQL Server performance tuning and indexing . Cloud Experience: Hands-on experience with deploying and managing applications and services in cloud environments like Azure, AWS, or Google Cloud . Version Control: Experience working with version control systems such as Git . Unit Testing: Familiarity with unit testing frameworks like xUnit, NUnit, or MSTest . Web Services: Experience with RESTful APIs and web services (SOAP/REST) . Experience & Qualifications: 8-10 years of hands-on experience with .NET (C#), SQL Server, and cloud technologies (Azure, AWS, GCP). Essential Professional Skills Strong troubleshooting and debugging skills to identify issues and propose efficient solutions. Good communication skills , both verbal and written, for interacting with team members and stakeholders. Ability to work closely with cross-functional teams to ensure robust solutions that meet business and technical requirements. Preferred Qualifications Cloud-Native Development: Knowledge of cloud-native architectures, including serverless computing (Azure Functions, AWS Lambda), and containerization (Docker). CI/CD Tools: Familiarity with continuous integration and deployment tools like Jenkins, Azure DevOps, or GitLab CI.

Key Responsibilities React Development : Design and implement user interfaces using React.js to ensure high performance and responsiveness. Node.js Development : Develop server-side logic and API services using Node.js , improving the performance and scalability of web applications. JavaScript Mastery : Leverage deep expertise in JavaScript (ES6/ES7) to develop clean, efficient, and maintainable code. Front-End Development : Utilize HTML and CSS to create visually appealing, user-friendly, and responsive interfaces. Collaboration : Work cross-functionally with product, design, and backend teams to deliver high-quality user experiences. Version Control : Manage and track code using Git , collaborating in a distributed version control environment. Testing & Debugging : Write unit tests, perform debugging, and ensure that features are deployed with minimal bugs. Skills & Qualifications Bachelor's or Master's degree in Computer Science or related field. 8+ years of professional experience in Full-Stack JavaScript development, with at least 3+ years of hands-on experience in React.js and Node.js . Proficiency in React.js for building modern, efficient, and scalable web applications. Strong knowledge and experience in Node.js for backend development. Expertise in JavaScript (ES6/ES7), with a strong understanding of asynchronous programming. Hands-on experience with HTML and CSS for creating responsive and visually appealing UIs. Familiarity with front-end libraries and frameworks to enhance UI efficiency. Solid understanding of version control (Git) and development workflows. Desired Skills Experience with build tools like Webpack or Babel to optimize code and streamline workflows. Familiarity with server-side templating languages to improve rendering performance. Understanding of RESTful APIs and GraphQL for API integration and data management. Database experience : Knowledge of both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases. Strong experience with Git and collaboration tools like GitHub/GitLab .

Design, develop, and maintain Java microservices applications, ensuring high performance, scalability, and reliability Lead and mentor development teams, guiding them through the design and implementation of architecture Develop RESTful services and integrate them into a microservices architecture Utilize SpringBoot and Spring Core frameworks to build scalable and efficient applications Work with AWS services and Terraform for infrastructure management Collaborate with the team to write test plans and user guides Manage databases (RDBMS and NoSQL) and ensure optimal performance Implement and utilize monitoring tools like Splunk and Dynatrace for real-time monitoring Work with messaging frameworks such as Kafka , JMS , or similar technologies Preferred Qualifications Solid understanding and experience with cloud technologies (AWS, Azure, GCP) Hands-on experience in DevOps practices and automation of deployments Knowledge of CI/CD pipelines and version control using Git

ob Title: Azure DevOps (Engineer) - L2 Support Location Hyderabad, Telangana, India Experience Level 5+ years of industry experience Overview We are seeking a skilled and proactive Support Engineer with deep expertise in Azure cloud services, Kubernetes, and DevOps practices. The ideal candidate will have experience working with Azure services, including Kubernetes, API management, monitoring tools, and various cloud infrastructure services. You will be responsible for providing technical support, managing cloud-based systems, troubleshooting complex issues, and ensuring smooth operation and optimization of services within the Azure ecosystem. Key Responsibilities As an Azure DevOps (Engineer) - L2 Support, you will: Technical Support: Provide technical support for Azure-based cloud services, including Azure Kubernetes Service (AKS), Azure API Management, Application Gateway, Web Application Firewall, and Azure Monitor with KQL queries. Azure Service Management: Manage and troubleshoot various Azure services such as Event Hub, Azure SQL, Application Insights, Virtual Networks, and WAF. Kubernetes & GitOps: Work with Kubernetes environments, troubleshoot deployments, utilize Helm Charts, check resource utilization, and manage GitOps processes. Infrastructure Automation: Utilize Terraform to automate cloud infrastructure provisioning, configuration, and management. Database Troubleshooting: Troubleshoot and resolve issues in MongoDB and Microsoft SQL Server databases, ensuring high availability and performance. Monitoring & Alerting: Monitor cloud infrastructure health using Grafana and Azure Monitor, providing insights and proactive alerts. Root Cause Analysis: Provide root-cause analysis for technical incidents, propose and implement corrective actions to prevent recurrence. Continuous Optimization: Continuously optimize cloud services and infrastructure to improve performance, scalability, and security. Required Skills & Qualifications Technical Proficiency: Azure Services: Hands-on experience with Azure services such as AKS, API Management, Application Gateway, WAF, Event Hub, Azure SQL, Application Insights, Virtual Networks . Azure Monitoring: Strong knowledge of Azure Monitor and KQL Queries . Kubernetes: Strong hands-on expertise in Kubernetes , Helm Charts , and GitOps principles for managing/troubleshooting deployments. Infrastructure as Code (IaC): Hands-on experience with Terraform for infrastructure automation and configuration management. Databases: Proven experience in MongoDB and Microsoft SQL Server , including deployment, maintenance, performance tuning, and troubleshooting. Monitoring Tools: Familiarity with Grafana for monitoring, alerting, and visualization of cloud-based services. Azure DevOps: Experience using Azure DevOps tools , including Repos and Pipelines for CI/CD automation and source code management. Networking: Solid understanding of Virtual Networks, WAF, Firewalls, and other related Azure networking tools. Certifications: Azure Certification (e.g., Azure Solutions Architect, Azure Administrator). Any Kubernetes Certification (e.g., CKAD or CKA). Experience & Qualifications: 5+ years of industry experience with Azure cloud services, Kubernetes, and DevOps practices. Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Essential Professional Skills Excellent troubleshooting, analytical, and problem-solving skills . Strong written and verbal communication skills , with the ability to explain complex technical issues to non-technical stakeholders. Ability to work in a fast-paced environment and manage multiple priorities effectively. Preferred Skills Experience with cloud security best practices in Azure . Knowledge of infrastructure as code (IaC) concepts and tools . Familiarity with containerized applications and Docker .

Supports the efforts within application development, maintenance and support Build solutions that comply with company software quality assurance/ quality control and software engineering standards Develops professional work knowledge and abilities through the application of standard information systems methodology, techniques, procedures and criteria Interacting and working with globally distributed teams and customers. Understanding and analyzing client requirements and propose technical solutions for the requirements Codes and debugs software applications in accordance with Bechtel's Software Development Methodology Framework, Enterprise and Application architecture, and the Software Development Standards Analyzes, maintains and implements (including performance tuning) existing software applications and develops programming specifications from business requirements. Creates and maintain architecture document, design specification, test plans for the applications Promotes automation, standardization, best practices and code reuse for the application development Mentor junior team members and work with them to resolve technical issues Code and artifacts reviews Protects operations by keeping information confidential.? Basic Skills/Qualifications Masters/Bachelors degree in Computer Science, Computer Engineering (MCA/BCA/BE) Experience in working on Service Now implementation is desirable Experience on Data formats like JSON and XML Good knowledge of JavaScript, JQuery, HTML and CSS Strong Object Oriented concepts Deep understanding and practical experience on implementing best practices for technical design and development Good written and verbal communication skills Agility and quick learner Understanding of the Software development lifecycle Good Analytical and problem solving skills Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities Knowledge of administration of a Service Now instance including the delegation of groups, modification of CMS, workflows, business rules, UI actions, UI policies, client scripts, ACLs, dictionary, catalog items and updates of all other existing solutions requiring revisions. Experience in scripting / designing (Business Rules, UI Pages, UI Macros, workflows, UI actions UI policies, ACLs, dictionary, catalog items) Web Services Integration (SOAP,REST, and JSON) Experience implementing Service Catalog, CMS, MID Server Candidates will demonstrate skills in areas for the development, administration, documentation and technical support of the Service Now platform Understanding of ITIL. Desired Skills Agile/Scrum methodology Development Life Cycle (SDLC) processes including customer requirement analysis and system design Good Understanding of architectural patterns, design patterns and frameworks (e.g. MVC) Writing complex stored procedures, triggers and complex queries using SQL Server and Oracle

Configure and manage the Microsoft Purview Unified Data Catalog , including collections, classifications, glossary terms, and metadata curation. Implement Data Quality (DQ) rules and metrics (accuracy, completeness, consistency), and maintain DQ scorecards and reporting dashboards. Set up and manage Data Map and Scan configurations, including scan scheduling, ingestion management, and issue troubleshooting. Visualize and interpret Data Lineage and Insights to support business intelligence and data governance strategies. Onboard diverse data sources from on-premises and cloud environments into Microsoft Purview. Collaborate with enterprise data teams on governance, metadata strategy, and catalog integrations.

Job Title: Site Reliability Engineer (SRE) - Senior Engineer Experience Level Minimum 7 years of work experience as an SRE (not Traditional Production Support). Minimum of 6-8 years work experience in critical production environments. Key Responsibilities As a Site Reliability Engineer (SRE), you will: Platform Support & Reliability: Work as part of a 24/7 on-desk team in shifts, managing middleware and associated applications consumed globally, covering incident, change, event, and problem management. Be the guardian to ensure high reliability of applications, middleware, storage platforms, schedulers (and their jobs), and underlying cloud infrastructure. Cloud Infrastructure Management: Assess and enhance cloud infrastructure and data pipeline resilience. Provide GCP (Google Cloud) and private-cloud operational support/administration activities such as provisioning, capacity management, reliability management, monitoring, and restoration. Manage Kubernetes cluster management, monitoring, and remediation. Observability & Monitoring: Set up and configure an observability product (preferably AppDynamics or Splunk) for end-to-end traceability and log analytics. Define SLIs and configure SLOs, respond to threshold alerts, and continuously optimize monitoring capability to reduce noise. Set up anomaly detection and auto-remediation workflows. Automation & CI/CD: Develop coding/automation scripting (particularly for integration tier and middleware) to automate deployments and script self-healing workflows based on telemetry. Work with CI/CD toolchains, setting up and running deployment pipelines and propagating changes on different environments. Automate new change rollouts and validate/automate patch rollout processes. Troubleshooting & Debugging: Debug integrations and consumers at the code level. Work with code as well as configuration artifacts to debug and fix issues that may arise. Diagnose and debug systems at the application level. Toil Reduction: Eliminate toil by lowering incident volume, eliminating noise from alerts, automating manual processes, and converting workarounds into system features. Collaboration & Engagement: Work with Development, QA, and other squads to design, build, and roll out reliability features into applications. Engage in on-call and critical operations support activities while leading blameless post-mortems. Direct liaison with customers for stakeholder management. Mandatory Skills & Experience Technical Proficiency: SRE & DevOps Experience: Minimum 7 years of work experience as an SRE (not Traditional Production Support) covering integration platforms on cloud-based deployments. Cloud Platforms: Working experience with GCP (Google Cloud) , particularly with GKE (Google Kubernetes Engine) . Experience with AWS Cloud Infra operations on production is also needed. Coding/Scripting/Automation: Proficiency in coding/automation scripting in any programming language (e.g., Python scripts, Ansible templates), particularly for integration tier and middleware. Ability to work with code and configuration artifacts to debug and fix issues. Containerization & Orchestration: Knowledge of Docker is important. Kubernetes cluster management, monitoring, and remediation. Middleware: Maintaining middleware such as Kafka (open source) and MQ as well as application servers ( Tomcat ). Data Storage: Maintaining Hazelcast Data storage platform clusters . Job Scheduling: Experience with Control M job schedulers . Monitoring Tools: Working with AppDynamics and Splunk for monitoring and setting up observability. Experience implementing system and application monitoring for cloud-based applications/SaaS components, including setting up alerts and building dashboards. CI/CD: Experience with CI/CD tool chains , setting up and running deployment pipelines, propagating changes on different environments, and troubleshooting failed deployments. SQL: Working knowledge of SQL and troubleshooting by writing queries. SRE Principles: Knowledge of applying SRE practices to daily operations is key, particularly toil reduction, blameless post-mortems, monitoring distributed systems, and release engineering. Experience & Qualifications: Minimum 7 years of work experience as an SRE in critical production environments. Experience working as a DevOps Engineer or SRE in mission-critical applications and infrastructure. Ability to work in shifts in office (24/7 on-desk operation is mandatory). Certifications (Mandatory/Preferred): SRE Foundation certification by DevOps Institute or any other equivalent certification on SRE by a recognized body is mandatory. (SRE Foundation certification via PeopleSoft / DevOps Institute is beneficial). CKA certification (Certified Kubernetes Administrator). GCP Cloud Digital Leader certification at a minimum is mandatory; Cloud Engineer level is a bonus. Hazelcast Platform Operations certification badge (Preferred). ITIL4 Foundation certification is preferred. AWS Solutions Architect - Associate qualification or alternative is preferred. Essential Professional Skills Problem-Solving & Debugging: Strong ability to diagnose and debug systems at the application level. Must be inclined to work on proof-of-concept solutions to optimize reliability (e.g., AI models for event correlation and assisted triaging). Observability Definition: Ability to define SLIs and configure SLOs, and continuously refine thresholds. Communication & Collaboration: Excellent communication skills. Ability to work collaboratively in a team and with Development, QA, and other squads. Direct liaison with customers for stakeholder management. Ownership: Be the guardian to ensure high reliability. Learning Agility: Ability to continuously refine alerts and ensure all alerts/incidents within scope are actioned upon before breaching SLOs.

Primary Skills Hands-on experience in AWS Cloud Java development Expert in implementing AWS services like EC2, VPC, S3, Lambda, Route53, RDS, Dynamo DB, ELB/ALB/NLB, ECS, SNS, SQS, CloudWatch, API Gateway etc. Also, knowledge on EFS / S3 for File storage and Cognito for authorization. Strong knowledge of Containerization and have worked on AWS ECS/ECR. inter-service communication through REST, gRPC, or messaging (SQS, Kafka) knowledge on EFS / S3 for File storage and Cognito for authorization. knowledge of writing Unit Test cases with JUNIT. & Strong notions of security best practices Secondary Skills expertise in AWS CDK and CDK Pipelines for IaC. Implement service discovery, load balancing, and circuit breaker patterns. understanding of logging and monitoring services like AWS CloudTrail, CloudWatch, GuardDuty, and other AWS security services. Experience with CI/CD tools, DevOps implementation and HA/DR setup. Excellent communication and collaboration skills Responsibilities Hands on experience with extensive use of technologies Java, Spring Boot, Rest API, JPA, Kubernetes, Messaging Systems, Tomcat/JBoss. Develop and maintain microservices using Java, Spring Boot, and Spring Cloud. Design RESTful APIs with clear contracts and efficient data exchange. Ensure cloud security and compliance with industry standards. Maintain cloud infrastructure using AWS Cloud Development Kit (CDK). Implement security best practices, including data encryption and adherence to security protocols.

Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs Open AI GPT PaLM 2 Dolly Claude 2 Cohere etc using API endpoints Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured unstructured data from source systems to target data stores Work closely with Gen AI leads and other team members to address requirements from the product backlog Build and maintain data pipelines and infrastructure to support AI Solutions Desirable Hands on exposure to using cloud Azure GCP AWS services for storage serverless logic search transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters Bachelors degree in Computer Science or Statistics or Mathematics Qualification Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs Open AI GPT PaLM 2 Dolly Claude 2 Cohere etc using API endpoints Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured unstructured data from source systems to target data stores Work closely with Gen AI leads and other team members to address requirements from the product backlog Build and maintain data pipelines and infrastructure to support AI Solutions Desirable Hands on exposure to using cloud Azure GCP AWS services for storage serverless logic search transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters Bachelors degree in Computer Science or Statistics or Mathematics

Responsibilities: Strong proficiency in Java (8 or higher) and Spring Boot framework. Hands-on experience with AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs. Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Knowledge of containerization (Docker) and orchestration tools (ECS/Kubernetes) is a plus. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.

Qualification Design, develop, and deploy machine learning and deep learning modls. Collaborate with data scientists, product managers, and engineers to identify opportunities for AI integration. Build scalable and efficient data pipelines to train and serve AI models. Optimize models for performance, accuracy, and resource efficiency. Monitor and maintain production AI systems, ensuring reliability and performance. Research and prototype new AI techniques and stay current with the latest advancements in AI and ML. Document models, processes, and methodologies clearly and concisely.

Will play a crucial role in leading the automation testing efforts across multiple projects. Automation resource will be responsible for designing, developing and maintaining regression, integration and e2e test. The candidate should have a strong understanding of quality assurance principles, automation testing tools, and the ability to lead a team to ensure the delivery of high-quality, automated test solutions. Responsibilities: Design and develop comprehensive automated test suites for complex web applications. Ensure pass rate is maintained and failures are addressed on a timely, feasible manner. Has urge to constantly innovate and increase adoption. Comfortable in peer review activities and recommendations. Should be proficient in looking at test framework capabilities and recommend the right improvements as needed and if allowed should be able to modify and maintain the framework Integrate test automation scripts into the continuous integration (CI) and continuous delivery (CD) pipeline Analyse test results to identify potential areas for improvement Collaborate with development teams to resolve software defects, integration issues and optimize performance Prepare detailed integration test automation reports and presentations Stay up-to-date on the latest integration test automation tools and methodologies Qualifications: Bachelor degree in Computer Science, Software Engineering, or a related field. 5+ years of experience in software testing, with a focus on web applications including integration test Mandate IBM Tririga experience Proven expertise in test automation tools such as Selenium, Cypress, Playwright , SoapUI Extensive experience designing and executing automated tests for complex web applications In-depth understanding of web application development practices and technologies, including HTML, CSS, JavaScript, and APIs Experience with behavior-driven development (BDD) frameworks such as Cucumber or SpecFlow In-depth understanding of software testing methodologies, including black-box testing and white-box testing Excellent communication and collaboration skills, with the ability to effectively communicate technical information to both technical and non-technical audiences Strong problem-solving and analytical skills, with the ability to identify and resolve complex integration issues, performance bottlenecks, and compatibility problems Ability to work independently and as part of a team, adapting to different project requirements and timelines Experience with cloud-based testing platforms and API testing Experience with writing test automation scripts using languages like Python or Java

We are seeking a dedicated individual to join our team Candidate will be responsible for performing a variety of tasks to support our operations and ensure the smooth running of our project. Primary Skills - Java Spring boot Microservices React Angular Docker Kubernetes Secondary Skills - CI CD pipeline Automated Unit Testing Code Quality Ananlysis

Design, develop, and maintain scalable and high-performance web applications using .NET technologies. Implement responsive and user-friendly front-end interfaces using React or Angular. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Integrate with cloud services (Azure/AWS) to enhance application functionality and scalability. Troubleshoot and resolve complex technical issues. Mentor junior developers and contribute to team growth and knowledge sharing. Participate in code reviews and ensure adherence to best practices and coding standards. Bachelors degree in Computer Science, Engineering, or related field. 5+ years of experience in full stack development with .NET technologies. Proficiency in front-end development using React or Angular. Strong experience with cloud platforms (Azure/AWS). Solid understanding of RESTful APIs and web services. Experience with database design and management (SQL Server, NoSQL). Familiarity with DevOps practices and CI/CD pipelines. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills

Job Title: Senior QA Engineer - UFT Testing Experience Level P1 C3 STS (8+ years of experience) Key Responsibilities As a Senior QA Engineer (UFT Testing), you will: Test Strategy & Planning: Evaluate application requirements and design documents, working closely with Product Management, systems engineers, and architects to contribute to and define the test strategy for projects. Write comprehensive test plans. Test Case Development & Execution: Plan, design, and execute testing strategies. Develop, maintain, review, and enhance comprehensive functional and non-functional test cases. Automation Testing: Create appropriate utilities and automation scripts to assist in functional testing and test data creation. Maintain and create test data and regression test suites, including automation as a matter of course. Agile Participation: Actively participate in Agile processes, including sprint planning, reviews, and retrospectives. Reporting & Communication: Communicate testing status to QA Lead and stakeholders on a timely basis. Provide experienced JIRA reporting. API & UI Testing: Execute API and UI tests. Coordination: Coordinate effectively across multiple stakeholders and multi-vendor projects. Mandatory Skills & Experience Technical Proficiency: Testing Methodologies: Strong knowledge of Testing methodologies . SQL: Proficiency in SQL . Test Management Tools: Experience with Test management tools . UFT & VBScripting: Strong experience in UFT and VBScripting . API & UI Testing: Experience in executing API and UI tests. JIRA Reporting: Experience with JIRA reporting. VBS Macro: Knowledge of VBS Macro (Secondary Skill). Experience & Qualifications: 8+ years of experience in QA and Automation Testing. Experience in data migration projects . Experience in working with multiple stakeholders and multi-vendor projects . Familiarity with relevant Domain (Secondary Skill). Essential Professional Skills Good communication and coordination skills . Strong analytical skills . Detail-oriented individual. Ability to actively participate in Agile processes .

Validate data within the Snowflake database, ensuring data accuracy and consistency. Develop comprehensive test cases based on project requirements, ensuring thorough test coverage Automate End-to-End testing using Behave framework for cloud-based applications Perform regression testing using Automation before each deployment, minimizing the risk of introducing new defects. Monitored EMR file processing, identified and reported failures, contributing to improved data reliability Validate the data counts for received and processed records, contributing to accurate data reporting. Analyze requirements during analysis phase and provide solution build strong application Early performance testing engagements including planning, risk assessment and performance engineering etc. Conducted user acceptance testing with product teams and customers, ensuring project deliverables met requirements Required Skills : 5+ experience in Required skills : ETL Testing, Database Testing, Experience in Snowflake, AWS JIRA Agile, MySQL, Google Cloud Platforms, SQL ,Putty . Well versed with Functional Testing concepts and Automation Testing using Selenium. Hands on experience in test automation script using Java /Python

Job Title: Java Developer Experience Level P1-C3-TSTS (6+ years of experience) Key Responsibilities As a Software Systems Engineer (Java Developer), you will: Software Design & Development: Design and develop software systems using scientific analysis and mathematical models. Create foundational software platforms and optimize programs for maximum efficiency, compatibility, and reliability. System Maintenance & Improvement: Modify existing software to correct errors, adapt to new hardware, or improve system performance. Provide recommendations and maintenance solutions for software systems. Troubleshooting & Resolution: Troubleshoot and resolve complex system issues, implementing necessary system changes. Collaboration & Integration: Work closely with engineering staff and stakeholders to define system requirements and ensure seamless integration between hardware and software. Collaborate with engineering teams to evaluate hardware-software interfaces and resolve integration challenges. Testing & Compliance: Develop and implement software testing and validation procedures to ensure system reliability. Ensure compliance with industry standards, security best practices, and performance benchmarks. Documentation: Document software designs, updates, and changes for reference and future system improvements. Mandatory Skills & Experience Technical Proficiency: Java J2EE Experience in designing, developing, maintaining, and supporting software systems for operating systems, networked environments, and databases. Experience in creating foundational software platforms and finetuning programs. Experience in troubleshooting and resolving complex system issues. Experience in developing and implementing software testing and validation procedures. Experience in ensuring compliance with industry standards, security best practices, and performance benchmarks. Experience & Qualifications: 6+ years of experience in software development/systems engineering. High School Diploma (Required); Bachelor's Degree in Computer Science, Software Engineering, or a related field (Preferred). Equivalent work experience is acceptable. Essential Professional Skills Ability to work closely with engineering staff and stakeholders. Ability to define system requirements and ensure seamless integration. Strong problem-solving skills for complex system issues. DevOps (Secondary Skill).

What Your Responsibilities Will Be: Azure Infrastructure Management : Design, implement, and manage infrastructure on Azure, including virtual machines, containers, networking, and databases. CI/CD Pipeline Management : Develop and manage continuous integration and continuous deployment (CI/CD) pipelines using Azure DevOps, Jenkins, or similar tools. Infrastructure as Code (IaC) : Automate infrastructure deployment using tools like Terraform, ARM templates, or Azure Bicep. Container Management : Utilize containerization technologies like Docker and manage orchestration platforms such as Kubernetes (on Azure Kubernetes Service - AKS). Scripting and Automation : Write and maintain automation scripts using PowerShell, Bash, or Python to streamline deployment and system management. Monitoring and Logging : Implement and manage monitoring and logging tools like Azure Monitor, Log Analytics, and Application Insights to ensure performance and reliability. Security Management : Implement Azure security best practices, including RBAC, Azure Policy, and managing secrets with tools like Azure Key Vault. Collaboration and Communication : Collaborate with development, operations, and security teams to integrate DevOps practices and foster a culture of continuous improvement. Troubleshooting and Issue Resolution : Troubleshoot and resolve complex technical issues related to DevOps processes and infrastructure. What You'll Need to be Successful: Mandatory Skills : Azure Infrastructure (Azure VMs, Networking, Containers, Databases) Azure DevOps Kubernetes Infrastructure as Code (Terraform) Secondary Skills : Python Azure PaaS Services (Azure Functions, Azure App Services) Azure Active Directory Version Control (Git) CI/CD Tools (Azure DevOps, Jenkins) Additional Skills : Strong proficiency in Azure cloud services Knowledge of monitoring and logging tools (Azure Monitor, Application Insights) Experience with security best practices and tools like Azure Key Vault Scripting skills (PowerShell, Bash, or Python) Expertise in Azure Kubernetes Service (AKS) Experience : Proven experience with Azure cloud and DevOps practices. Experience managing Azure infrastructure and deploying scalable solutions on cloud. Familiarity with containerization technologies and Kubernetes on Azure.

Job description Role: QA Automation Primary skills: QA Automation Java, Selenium, API Secondary skills: BDD, SQL Design and Development: Design, develop, and maintain automated test frameworks and scripts. Identify areas for automation within the software development lifecycle. Develop and implement test plans and test cases. Execution and Analysis: Execute automated tests and analyse results to identify defects. Conduct regression testing to ensure bug fixes and new features function correctly. Document test results and report findings to development teams. Collaboration and Communication: Collaborate with development, product, and other teams to ensure quality and timely releases. Participate in code reviews and contribute to the development of testable software. Stay up-to-date with the latest testing tools and technologies. Technical Skills: Proficiency in scripting languages (e.g., Python, Java, JavaScript). Experience with testing frameworks (e.g., Selenium, JUnit, TestNG). Knowledge of testing methodologies (e.g., BDD, API testing). Familiarity with version control systems (e.g., Git). Experience with CI/CD pipelines. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Qualification Role: QA Automation Primary skills: QA Automation Java, Selenium, API Secondary skills: BDD, SQL Design and Development: Design, develop, and maintain automated test frameworks and scripts. Identify areas for automation within the software development lifecycle. Develop and implement test plans and test cases. Execution and Analysis: Execute automated tests and analyse results to identify defects. Conduct regression testing to ensure bug fixes and new features function correctly. Document test results and report findings to development teams. Collaboration and Communication: Collaborate with development, product, and other teams to ensure quality and timely releases. Participate in code reviews and contribute to the development of testable software. Stay up-to-date with the latest testing tools and technologies. Technical Skills: Proficiency in scripting languages (e.g., Python, Java, JavaScript). Experience with testing frameworks (e.g., Selenium, JUnit, TestNG). Knowledge of testing methodologies (e.g., BDD, API testing). Familiarity with version control systems (e.g., Git). Experience with CI/CD pipelines. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team.