Automation Networking Expertise in working with Ansible or demonstrated ability to quickly learn new programming languages Documented skills in translating automation concepts to consistent, reliable scripts using an industry accepted scripting language (Ansible/Python preferred) History of projects involving engineering design work, especially projects involving tailored solutions to meet specific infrastructure automation process needs Able to recognize and identify enterprise affecting issues to inform both automation design and operations Skilled in conceptualizing script structure and design to meet operational needs Extensive development background, particularly for supporting, maintaining and engineering infrastructure technology adjacent solutions Familiarity with SCM and SDLC principles Experience with version control best practices Familiar with both Waterfall and Agile methodologies Experience With Containers And Virtual Environments Preferred Comfortable identifying, verifying, vetting and testing hardware/software requirements for proposed automation and orchestrations solutions Ability to guide and empower infrastructure engineers seeking to explore, identify and expand automated solutions developed within their team Possesses a broad understanding of infrastructure devices, protocols, functionalities and operations. Experience working with infrastructure standards at an enterprise level Ability to lead confidentially and effectively when faced with new or unknown automation challenges Frequently anticipates problems in both the automation and infrastructure spaces and analyzes ways to mitigate the risk Familiarity with risk management and MRA processes preferred Ability to write and execute test plans for Automation testing Quantifies and articulates the business value and impact of advanced technical and non-technical information Comfortable with conducting and understanding data analysis Provides effective production support including accurate problem identification, ticket documentation and customer/vendor dialogue Documents, presents, and executes medium-to large-scale projects with minimal supervision Effectively able to communicate technical data both granularly and at a higher level Previous experience in tracking work efforts through Kanban, Jira, ADO or other story tracking development software Is often consulted by peers and seen as the informal leader on tactical problems Able to self-direct individual work effectively while maintaining cooperative attitude in conjunction with team and organization goals Comfortable managing context switching between multiple efforts Perform orchestration platform provisioning, administration, monitoring and troubleshooting Maintains current professional and technical skills Must Haves Network Automation, Python, Ansible, Restful API's, GIT, ADO Nice to Haves: ServiceNow, Routing/Switching, network fundamentals, IP addressing Remains aware of current and emerging technologies, how they integrate and drive value for Client Show more Show less

P2-C1-TSTS Development Design, develop, and maintain Java-based microservices. Write clean, efficient, and well-documented code. Collaborate with other developers and stakeholders to define requirements and solutions. Participate in code reviews and contribute to team knowledge sharing. Microservices Architecture Understand and apply microservices principles and best practices. Design and implement RESTful APIs. Experience with containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes). Knowledge of distributed systems and service discovery. Experience with design patterns (e.g., circuit breaker pattern, proxy pattern). Deep understanding of distributed systems and service discovery. Testing & Quality Develop and execute unit, integration, and performance tests. Ensure code quality and adhere to coding standards. Debug and resolve issues promptly. Deployment & Monitoring Participate in the CI/CD pipeline. Deploy microservices to cloud platforms (e.g., AWS, Azure, GCP). Monitor application performance and identify areas for improvement. Programming Languages Proficiency in Java (J2EE, Spring Boot). Familiarity with other relevant languages (e.g., JavaScript, Python). Microservices Experience designing and developing microservices. Knowledge of RESTful APIs and other communication patterns. Experience with Spring Framework. Experience with containerization (Docker) and orchestration (Kubernetes). Databases Experience with SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB). Familiarity with ORM frameworks (e.g., JPA, Hibernate). Cloud Platforms Experience with at least one cloud platform (e.g., AWS, Azure, GCP). Tools & Technologies Familiarity with CI/CD tools (e.g., Jenkins, Git). Knowledge of logging and monitoring tools (e.g., Splunk, Dynatrace). Experience with messaging brokers (e.g., Kafka, ActiveMQ) Other Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Experience working in Agile/Scrum environments. DevOps Experience with DevOps practices and automation. Show more Show less

Primary Skills Data Engineer , JD Responsible to lead the team and at the same time canidate should be able to get his/her hands dirty by writing code or contributing to any of the development lifecyle.AWS ,RedshiftEMR Cloud ETL Tools S3 We are looking for a Senior Consultant with at least 5 years of experience to join our team. The ideal candidate should have strong leadership skills and be able to lead a team effectively. At the same time, the candidate should also be willing to get their hands dirty by writing code and contributing to the development lifecycle. The primary skills required for this role include expertise in AWS Redshift and AWS Native Services, as well as experience with EMR, cloud ETL tools, and S3. The candidate should have a strong understanding of these tools and be able to utilize them effectively to meet project goals. As a Senior Consultant, the candidate will be responsible for providing guidance and support to the team, as well as ensuring the successful completion of projects. This is a hybrid work mode position, requiring the candidate to work both remotely and in the office as needed. Show more Show less

Good Warehouse Management System (WMS) domain knowledge. Good knowledge in Manhattan product - version 2024 (configuration, UI web site and setup/service) Good knowledge about the warehouse inbound process, inventory management, outbound process and generate reports. Understanding of warehouse management key concepts and different user roles and responsibilities Basic understanding of Supply chain management principle and processBasic SQL database knowledge to analyze the data and prepare the report. Collaborate with cross-functional teams to streamline the process. Engage with client meetings and communicate requirements to different team members to ensues alignment and meet customer expectations. Show more Show less

We are seeking a highly skilled AWS Architect to design, implement, and optimize secure, scalable, and compliant AWS infrastructure solutions across multiple regions. The ideal candidate will have hands-on experience with global and region-specific AWS environments, deep knowledge of cloud architecture best practices, and a strong understanding of infrastructure automation. Design and implement AWS architectures that meet performance, security, scalability, and compliance requirements. Architect and configure VPCs, subnets, routing, firewalls, and networking components in multi-region environments. Manage traffic routing using AWS Route 53, including geolocation and latency-based routing configurations. Implement high availability (HA), disaster recovery (DR), and fault-tolerant designs for business-critical applications. Ensure alignment with security best practices and compliance policies, including IAM roles, encryption, and access controls. Collaborate with cross-functional teams to support cloud adoption, application migration, and system integration. Develop infrastructure-as-code (IaC) templates for consistent and automated provisioning. Show more Show less

Strong Application Development Work Experience - Agile Environment Preferred Solid application design, coding, testing, maintenance and debugging skills Experience with Junit and Cucumber testing. Experience with APM Monitoring tools and logging tools like Splunk Proficiency with JIRA, Confluence (preferred). Expertise in development using Core Java, J2EE, XML, Web Services/SOA and used Java. frameworks - Spring, spring batch,Spring-boot, JPA, REST, MQ. Knowledgeable in developing RESTful micro services with technical stack, hands on experience in AWS Working with GIT/Bitbucket, Maven, Gradle, Jenkins tools to build and deploy code deployment to production environments. Hands on for CI/CD Kubernetes Show more Show less

Design, develop, test, and deploy scalable and resilient microservices using Java and Spring Boot. Collaborate with cross-functional teams to define, design, and ship new features. Work on the entire software development lifecycle, from concept and design to testing and deployment. Implement and maintain AWS cloud-based solutions, ensuring high performance, security, and scalability. Integrate microservices with Kafka for real-time data streaming and event-driven architecture. Troubleshoot and resolve issues in a timely manner, ensuring optimal system performance. Keep up-to-date with industry trends and advancements, incorporating best practices into our development processes. Should Be a Java Full Stack Developer. Bachelor's or Master's degree in Computer Science or related field. 6+ years of hands-on experience in JAVA FULL STACK - ANGULAR + JAVA SPRING BOOT Proficiency in Spring Boot and other Spring Framework components. Extensive experience in designing and developing RESTful APIs. Solid understanding of AWS services, including but not limited to EC2, Lambda, S3, and RDS. Experience with Kafka for building event-driven architectures. Strong database skills, including SQL and NoSQL databases. Familiarity with containerization and orchestration tools (Docker, Kubernetes). Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Show more Show less

IT is a global leader in industrial packaging products and services. We are committed to providing innovative solutions that enhance our customers productivity and sustainability. Our team is dedicated to excellence, and we strive to create a collaborative and inclusive work environment. Position Overview It is seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have 2 to 4 years of experience in developing and deploying GenAI and AI/ML solutions to production. This requires hands on experience with no code, low code, and SDKs to build AI systems. The candidate should be proficient in working with data platforms such as Microsoft Azure, Snowflake, GenAI platform such as Azure AI Foundry, Azure OpenAI, Copilot Studio, and ChatGPT. The ability to manage small projects with minimal supervision and a working knowledge of the Agile methodology are essential. The candidate must be comfortable with ambiguity and a fastpaced PoC (Proof of Concept) delivery schedule. KeyResponsibilities Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc. Manage small to medium-sized projects with minimal supervision. Apply Agile methodology to ensure efficient project delivery. Make informed decisions under uncertainty and adapt to changing project requirements. Qualifications Bachelor or master degree in AI, computer science, Engineering, mathematics or a related field. 2 to 4 years of experience in developing and deploying AI/ML solutions to production. Hands on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming. Handson experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse Building Copilot agents and embedding them into systems such as Workday, Teams, etc. Mandatory Skills Gen AI Python data storage systems - especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse Show more Show less

Must Have : Angular core concepts, NGRX, Unit Testing using Angular, ECMA Script, Javascript, Sass Additional Skills : Hands-on with Angular Technologies (Version 13 and above). Hands-on and implemented complex Angular applications, components, injectables, and Modules Good Conceptual and practical understanding of important aspects like routing, data sharing, and reactive observable. Experience in working with Scrum and being a strong Scrum Practitioner. Nice To have- an understanding of Redux. Experience on Spring Boot is an added advantage. Strong Debugging and Troubleshooting Expertise (for performance analysis/troubleshoot/code debugging). Experience in HTML, CSS, JavaScript, DOM, JQuery, AJAX, REST, and JSON. Strong analytical skills, strong problem-solving skills, communicates in a clear and succinct manner and effectively evaluates information/data. Show more Show less

Responsibilities Include, But Are Not Limited To The Following Organize and lead staff ensuring a fully efficient payroll operation. Verify and maintain compliance and tax requirements. Keep abreast of the one region's current and changing payroll and employment tax laws end to end. Review and audit current processes to ensure compliance, while recommending and implementing changes where needed. Lead the daily/monthly/quarterly salary reconciliations and tax filing requirements, including year-end reporting and compliances. To provide cutting edge variance analysis on the payroll for management review and audits To play leading role in transforming payroll function thru process simplification, digitization and automation Research, determine root cause and resolve incoming tax notices Lead and perform audits of payroll and employment tax data before payroll completion while following all established controls Complete post payroll audits and reporting, prepare metrics and track errors using technology and reporting tools Lead the internal or external audits and review of records, worker’s compensation, tax filings, SOX, and other related documentation Evaluate federal, state and local tax treatment of employee fringe benefits, executive compensation and related impacts Partner closely with various organizational partners to ensure accurate GL & tax reporting Respond to complex payroll related inquiries from employees and/or key stakeholders Research and produce complex reports which may require in-depth analysis Lead work and provide direction for transitions in mergers, acquisitions, and divestitures Communicate effectively with various levels of management to ensure a high level of customer support and positive customer interactions Ensuring the department’s ability to meet all company deadlines and annual performance goals Develop, maintain and improve payroll processes, employment tax processes, and internal controls to preserve the quality, efficiency and overall effectiveness of all payroll functions while ensuring regulatory compliance Manage vendors and system providers including compliance with service level agreements Responsible for tracking and testing legislative/regulatory changes, application enhancements, and system modifications Manage, coach and develop team members Conduct ongoing training for payroll staff to ensure productivity and knowledge of overall processes are maintained and improved Key things needed for the role. Qualification - B.Com, ICWA / CA Experience - 15+ Years Location - Hyderabad Working in manager capacity Experience in handling one or more geo payroll end to end. Experience in payroll accounting and reconciliation. Experience in payroll integration project and automation. Experience in payroll compliances like payroll taxes, overtime or leave rules adherence etc. Experience In Global Payroll Will Be Preferred. Teamwork and proactive resolution will be key to success in the role. Show more Show less

The consultant is responsible for providing expert advice, guidance, and support to clients. They must have at least 5 years of work experience in a related field. They will be required to develop, implement, and maintain effective strategies to help clients achieve their goals. They will also be responsible for conducting thorough research, analyzing data, and creating reports to present to clients. The consultant must be an excellent communicator and have strong problem-solving skills. They must be able to work independently and as part of a team. They should also have a strong understanding of industry trends and best practices. The consultant must be able to build and maintain strong relationships with clients and provide high-quality customer service. They will be expected to stay up-to-date on the latest developments in their field and continuously improve their skills and knowledge. Show more Show less

We are looking for an experienced Senior Database & Data Migration Specialist to lead the administration, migration, and optimization of Oracle databases, including deployments on AWS RDS. This role requires deep expertise in Oracle database tuning, data migration strategies, and schema design, as well as strong familiarity with cloud compliance requirements, including those relevant to China data residency. Experience with tools such as AWS DMS, Oracle Data Pump, GoldenGate, and Liquibase is highly desirable. Perform administration and performance tuning of Oracle databases, both on-prem and in AWS RDS. Design and implement AWS RDS Oracle instances, ensuring availability, security, and compliance. Define and execute data migration strategies using tools like AWS DMS and Oracle Data Pump. Design and optimize relational schemas, indexes, and relationships for performance and scalability. Lead and automate data validation post-migration to ensure accuracy and completeness. Ensure compliance with data residency requirements, particularly for China-based deployments. Support integration of databases with microservices, including data access optimization and secure connection practices. Utilize tools such as Oracle GoldenGate for real-time replication and Liquibase for version-controlled schema changes. Collaborate with cross-functional teams including application developers, DevOps, and architects to ensure seamless database integration. Show more Show less

Senior Thought Machine Lead with experience in implementing Thought Machine, new feature development, upgrades, support & maintenance Show more Show less

8+ years of experience as a QA Automation Engineer, Software Development Engineer in Test, Software Developer, or similar Automation role 5+ years of experience in Java based automation 5+ years of experience in Agile methodologies BS in Computer Science or a related area, or with relevant work experience Demonstrated strong programming skills in Java, Selenium or other languages Experience enabling the teams with which you work to have high quality testing and best practices like CI/CD and Push on Green Proficient in mobile application testing, web app testing, test framework maintenance, and continuous improvement Proficiency at identifying and analyzing the root cause of complex bugs in your code as well as others code Knowledge of testNG, appium is a solid plus Have a passion for mentoring others and growing the careers of those around you Excellent communication skills Ability to work independently and guide team members and stake holders on automation testing. Design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams Executes software solutions, design, development, and technical troubleshooting Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Mandatory Skills Selenium Show more Show less

Role: Data Engineer Key Skill: Pyspark, Cloudera Data Platfrorm, Big data - Hadoop, Hive, Kafka Responsibilities Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy. Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP. Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements. Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes. Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline. Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem. Technical Skills 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques. Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase. Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala). Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools. Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks. Scripting and Automation: Strong scripting skills in Linux. Show more Show less

About The Role We are seeking a highly skilled Data Engineer with deep expertise in PySpark and the Cloudera Data Platform (CDP) to join our data engineering team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines that ensure high data quality and availability across the organization. This role requires a strong background in big data ecosystems, cloud-native tools, and advanced data processing techniques. The ideal candidate has hands-on experience with data ingestion, transformation, and optimization on the Cloudera Data Platform, along with a proven track record of implementing data engineering best practices. You will work closely with other data engineers to build solutions that drive impactful business insights. Responsibilities Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy. Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP. Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements. Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes. Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline. Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem. Education and Experience Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform. Technical Skills PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques. Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase. Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala). Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools. Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks. Scripting and Automation: Strong scripting skills in Linux. Show more Show less

We are seeking a highly skilled Python Developer with strong expertise in AWS Athena to join our data engineering team with 5years to 7 years experience. The successful candidate will be responsible for building and maintaining data pipelines, optimizing queries on large-scale datasets, and integrating AWS Athena with Python-based applications. This role is ideal for developers who thrive in cloud-native, data-intensive environments. Show more Show less

We are seeking skilled LLM Engineers with 5 to 8 years of experience to design, fine-tune, and implement large language model (LLM)-based solutions for an AI integration project. This role involves developing AI-driven functionalities tailored for Salesforce CRM and service ticketing platforms using Azure OpenAI and OpenAI technologies. Key Responsibilities Develop and deploy LLM-based solutions for AI integration into Salesforce and service ticketing systems. Fine-tune pre-trained language models (e.g., GPT) to align with business requirements and enhance application performance. Collaborate with architects and stakeholders to implement generative AI-driven solutions for workflow automation and customer support. Ensure optimized performance and accuracy of LLMs for use cases such as ticket categorization, routing, and customer interaction. Design and implement scalable, secure, and compliant LLM-based architectures. Stay updated on advancements in AI/ML and LLM technologies and apply innovative techniques to solve business challenges. Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related fields. 5 to 8 years of experience in software development or machine learning, with strong exposure to LLMs and generative AI models. Hands-on experience with Azure OpenAI, OpenAI APIs (e.g., GPT models), and their integration into enterprise systems. Proficiency in programming languages such as Python, with a focus on NLP libraries and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Strong understanding of data preprocessing, model training, and optimization techniques for large-scale applications. Preferred Skills Experience integrating LLM-based solutions with Salesforce and service ticketing platforms. Knowledge of cloud deployment and automation practices using tools like Docker, Kubernetes, or Azure DevOps. Familiarity with API development and integration for real-time AI functionalities. Understanding of data governance, security, and compliance standards in AI implementations Show more Show less

Role: Data Power Admin Experience: 6+ years Work Mode: Hybrid Work timings: 2pm to 11pm Location: Chennai & Hyderabad Primary Skills: Data Power Admin, API 7+ years of hands on Data power API and Web Services Knowledge: Experience with API management, web service protocols (SOAP, REST), and related technologies XML Technologies: Knowledge of XML, XSLT, XSD, and WSDL Security Principles: Understanding of security concepts, including authentication, authorization, and encryptio JD: A DataPower administrator is responsible for configuring, maintaining, and troubleshooting IBM DataPower appliances and related infrastructure, such as API Connect. Responsibility Installation and Configuration Installing, configuring, and maintaining DataPower appliances and API Connect infrastructure. Security Implementing and managing security policies, including AAA (Authentication, Authorization, Auditing), SSL certificates, and cryptographic objects. Routing And Load Balancing Configuring dynamic routing, load balancing, and ensuring high availability for APIs. Service Management Managing the deployment of XSLT, XSDs, and WSDLs, as well as managing web service proxies. Performance Monitoring and Troubleshooting Monitoring system performance, troubleshooting issues, and identifying areas for optimization. Documentation and Collaboration Developing and maintaining documentation, collaborating with development teams, and potentially working with network and security teams. Capacity Planning Assisting with capacity planning and scalability efforts This involves tasks like configuring DataPower for secure routing, authentication, load balancing, and SSL TLS connections, as well as managing the deployment of XML related resources. Show more Show less

We are seeking a highly skilled Senior Automation Engineer to lead our test automation efforts. The ideal candidate will have extensive experience in designing, developing, and maintaining automation frameworks to improve the efficiency, quality, and reliability of our software products. You will collaborate with cross-functional teams to ensure seamless integration of automated testing within the development lifecycle. Key Responsibilities Design, develop, and maintain scalable test automation frameworks for UI, API, and performance testing. Develop and execute automated test scripts using industry-standard tools such as Selenium, Appium, TestNG, JUnit, Cucumber, Playwright, Cypress, etc. Implement CI/CD pipelines for automated testing using Jenkins, GitHub Actions, GitLab CI/CD, or other similar tools. Collaborate with developers, QA engineers, and product managers to understand requirements and define automation test strategies. Enhance test coverage for functional, regression, integration, and performance testing. Analyze and report automation test results, identify defects, and assist in troubleshooting issues. Maintain and improve test data management strategies for automated testing. Research and implement new automation tools and best practices to optimize test execution and efficiency. Mentor and guide junior automation engineers. Required Skills & Qualifications Bachelors/masters degree in computer science, Engineering, or a related field. 6+ years of experience in test automation with strong programming skills in Java, Python, JavaScript, or C#. Hands-on experience with Selenium, Appium, Cypress, Playwright, TestNG, JUnit, or similar automation frameworks. Experience in API automation testing using Postman, RestAssured, Karate, or similar tools. Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, etc.). Experience with version control systems like Git. Show more Show less