About the Role: We are seeking an experienced and detail-oriented Senior QA Engineer with expertise in Manual Testing to join our team in Mumbai. As a Senior Engineer, you will play a key role in ensuring the quality and reliability of our applications and systems. This is a fantastic opportunity to work in a collaborative environment and lead a talented team of QA professionals. Key Responsibilities: Lead the end-to-end quality assurance process for software applications, ensuring all deliverables meet the highest quality standards. Develop, implement, and maintain detailed test plans, test cases, and test scripts. Conduct comprehensive manual testing, including functional, regression, integration, and system testing. Collaborate with developers, product managers, and other stakeholders to understand requirements and resolve issues. Identify, document, and track defects using appropriate tools and follow up on resolutions. Mentor and guide the QA team, ensuring best practices and standards are adhered to. Continuously improve testing processes to enhance efficiency and effectiveness. Stay updated with the latest trends and advancements in manual testing and QA methodologies. Required Skills and Qualifications: 5+ years of experience in manual testing, with a proven track record of leading QA efforts in complex projects. Expertise in writing and executing test plans, test cases, and test scenarios. Strong understanding of software development life cycle (SDLC) and software testing life cycle (STLC). Proficient in defect tracking tools such as JIRA, Bugzilla, Git, or similar. Experience in testing web and mobile applications. Experience in security testing to identify vulnerabilities, ensure compliance with standards, and safeguard systems from potential threats. Ability to track and lead the release process, while defining and monitoring performance metrics to measure product quality and success. Possesses an AI mindset — approaches work with curiosity about intelligent tools, awareness of their limitations, and a focus on using them responsibly for client value Excellent analytical, problem-solving, and debugging skills. Strong communication and interpersonal skills, with a leadership mindset. Knowledge of automation testing tools is a plus. Familiarity with API testing tools such as Postman or Swagger. Experience in performance and load testing is an added advantage. Understanding of Agile development methodologies. Show more Show less

About Ajackus: Ajackus is a leading technology solutions provider that helps businesses achieve their goals through innovative software solutions. We are committed to delivering high-quality services and building long-term relationships with our clients. Our team of experts is dedicated to creating impactful and efficient solutions that drive success. Job Description: We are looking for a Senior Java Developer with 4+ years of experience who is skilled in Java, Spring Boot, PostgreSQL, NoSQL, and Maven. If you have experience in React, it will be an added advantage. Join us to contribute to innovative projects and be part of a growth-driven team. Key Responsibilities: Develop and maintain robust backend systems using Java and Spring Boot . Design and implement database structures, ensuring optimized performance for PostgreSQL and NoSQL databases. Utilize Maven for dependency management and build automation. Collaborate with the team to define and implement features that meet client requirements. Write clean, well-documented, and efficient code while adhering to coding standards. Troubleshoot, debug and upgrade software solutions to ensure reliability. Optionally contribute to front-end development using React when required. Qualifications : 4+ years of hands-on experience in software development using Java and Spring Boot . Proficient in working with PostgreSQL and NoSQL databases. Familiarity with build tools such as Maven . Good to have experience with React for front-end development. Strong problem-solving skills and the ability to work independently or in a team. A Bachelor’s degree in Computer Science, Engineering, or a related field. Show more Show less

Senior Data Engineer–Big Data & Analytics Location: Remote (CET Time Zone Preferred) Tech Stack: Databricks, SQL, Spark, Python, AWS (ECS, S3) Desired Experience: 3 to 8 Yrs About the Project: Join an innovative project focused on revolutionizing how companies manage and optimize their promotional activities. This data-driven solution enables businesses to analyze the effectiveness of promotions, plan more impactful campaigns, and integrate seamlessly with existing ecosystems. Leveraging machine learning and advanced analytics, the platform enhances vendor collaboration, improves deal negotiation, and maximizes return on investment (ROI). Role: We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, SQL, and Apache Spark to design, build, and optimize scalable data pipelines. The ideal candidate thrives in a collaborative environment, enjoys problem-solving, and can work closely with stakeholders to clarify requirements and ensure high-quality data delivery. Strong experience in ETL processes , data modeling , and analytics engineering is desired, along with familiarity with DBT . Responsibilities: Design, build, and optimize scalable data pipelines using Databricks, SQL, and Apache Spark Develop and maintain robust ETL processes for large-scale data systems Collaborate with cross-functional teams to understand business needs and translate them into data solutions Ensure high performance and quality of data workflows Support machine learning and analytics teams with curated, reliable datasets Implement best practices in data engineering, testing, and documentation Qualifications: Deep expertise in Databricks, Apache Spark, and SQL 3–8 years of hands-on experience in designing and maintaining scalable ETL pipelines, with a strong foundation in data engineering best practices and cloud platforms Strong experience with data modeling and ETL pipeline development Proficient in Python for data manipulation and scripting Hands-on experience with AWS (especially S3 and ECS ) Comfortable working in a Linux/Ubuntu environment Familiarity with dbt (data build tool) for managing data transformations Prior experience working in promotional optimization or the retail analytics domain Strong problem-solving skills, preferring logical and innovative solutions over legacy experience Excellent communication skills with the ability to clarify requirements directly with stakeholders Willingness to engage in pair programming and collaborative problem-solving Proactive, self-driven, and able to work independently in a distributed team environment

Senior Data Engineer–Big Data & Analytics Location: Remote (CET Time Zone Preferred) Tech Stack: Databricks, SQL, Spark, Python, AWS (ECS, S3) Desired Experience: 3 to 8 Yrs About the Project: Join an innovative project focused on revolutionizing how companies manage and optimize their promotional activities. This data-driven solution enables businesses to analyze the effectiveness of promotions, plan more impactful campaigns, and integrate seamlessly with existing ecosystems. Leveraging machine learning and advanced analytics, the platform enhances vendor collaboration, improves deal negotiation, and maximizes return on investment (ROI). Role: We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, SQL, and Apache Spark to design, build, and optimize scalable data pipelines. The ideal candidate thrives in a collaborative environment, enjoys problem-solving, and can work closely with stakeholders to clarify requirements and ensure high-quality data delivery. Strong experience in ETL processes , data modeling , and analytics engineering is desired, along with familiarity with DBT . Responsibilities: Design, build, and optimize scalable data pipelines using Databricks, SQL, and Apache Spark Develop and maintain robust ETL processes for large-scale data systems Collaborate with cross-functional teams to understand business needs and translate them into data solutions Ensure high performance and quality of data workflows Support machine learning and analytics teams with curated, reliable datasets Implement best practices in data engineering, testing, and documentation Qualifications: Deep expertise in Databricks, Apache Spark, and SQL 3–8 years of hands-on experience in designing and maintaining scalable ETL pipelines, with a strong foundation in data engineering best practices and cloud platforms Strong experience with data modeling and ETL pipeline development Proficient in Python for data manipulation and scripting Hands-on experience with AWS (especially S3 and ECS ) Comfortable working in a Linux/Ubuntu environment Familiarity with dbt (data build tool) for managing data transformations Prior experience working in promotional optimization or the retail analytics domain Strong problem-solving skills, preferring logical and innovative solutions over legacy experience Excellent communication skills with the ability to clarify requirements directly with stakeholders Willingness to engage in pair programming and collaborative problem-solving Proactive, self-driven, and able to work independently in a distributed team environment

Senior Data Engineer–Big Data & Analytics Location: Remote (CET Time Zone Preferred) Tech Stack: Databricks, SQL, Spark, Python, AWS (ECS, S3) Desired Experience: 3 to 8 Yrs About the Project: Join an innovative project focused on revolutionizing how companies manage and optimize their promotional activities. This data-driven solution enables businesses to analyze the effectiveness of promotions, plan more impactful campaigns, and integrate seamlessly with existing ecosystems. Leveraging machine learning and advanced analytics, the platform enhances vendor collaboration, improves deal negotiation, and maximizes return on investment (ROI). Role: We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, SQL, and Apache Spark to design, build, and optimize scalable data pipelines. The ideal candidate thrives in a collaborative environment, enjoys problem-solving, and can work closely with stakeholders to clarify requirements and ensure high-quality data delivery. Strong experience in ETL processes , data modeling , and analytics engineering is desired, along with familiarity with DBT . Responsibilities: Design, build, and optimize scalable data pipelines using Databricks, SQL, and Apache Spark Develop and maintain robust ETL processes for large-scale data systems Collaborate with cross-functional teams to understand business needs and translate them into data solutions Ensure high performance and quality of data workflows Support machine learning and analytics teams with curated, reliable datasets Implement best practices in data engineering, testing, and documentation Qualifications: Deep expertise in Databricks, Apache Spark, and SQL 3–8 years of hands-on experience in designing and maintaining scalable ETL pipelines, with a strong foundation in data engineering best practices and cloud platforms Strong experience with data modeling and ETL pipeline development Proficient in Python for data manipulation and scripting Hands-on experience with AWS (especially S3 and ECS ) Comfortable working in a Linux/Ubuntu environment Familiarity with dbt (data build tool) for managing data transformations Prior experience working in promotional optimization or the retail analytics domain Strong problem-solving skills, preferring logical and innovative solutions over legacy experience Excellent communication skills with the ability to clarify requirements directly with stakeholders Willingness to engage in pair programming and collaborative problem-solving Proactive, self-driven, and able to work independently in a distributed team environment

About the Role We are seeking a skilled and experienced Workday Extend Developer to lead the end-to-end implementation of five business-critical applications using Workday Extend. This role plays a pivotal part in NAB’s strategic initiative to build a scalable and sustainable foundation for future Extend applications. You will be responsible for setting up the development environment, designing and deploying applications, and transferring knowledge to internal teams. This opportunity offers the chance to work in a high-impact, Agile environment where you will collaborate with stakeholders and deliver innovative Workday solutions to support key HR and operational processes. Responsibilities 1. Environment Setup Provision and configure the Workday Extend development environment. Set up tenant security, permissions, and deployment frameworks. Establish DevOps processes, including build/test/deploy pipelines 2. Application Development & Deployment Deliver five key Workday Extend applications: UC1 – Work Schedule Management UC2 – TAF File Number Onboarding & Validation UC3 – Super Choice Forms & Validations UC4 – Higher Duty Allowance for Acting Managers UC5 – Position Attribute Management Engage in full lifecycle development: Validate requirements and align with stakeholders. Design and build applications using Workday Extend Studio. Conduct unit and integration testing. Deploy to non-production and production tenants. Provide documentation and conduct knowledge transfer to internal teams. 3. Agile Delivery Collaborate in Agile teams through sprint planning, reviews, retrospectives, and daily stand-ups. Ensure timely delivery of high-quality applications in line with project milestones. 4. Outcome & Deliverables A fully operational Workday Extend development environment. Five tested and deployed Workday Extend applications. Knowledge transfer documentation to enable long-term support and scalability by internal teams. Qualifications 3 to 9 yrs of hands-on experience working with Workday Extend. Proven experience with Workday Extend: design, development, and deployment. Strong understanding of the Workday Object Model and tenant security frameworks. Proficiency in XSLT, JSON, XPath, and REST APIs. Experience with Workday Studio and Workday Web Services (WWS). Demonstrated capability with Extend UI components and custom business logic. Proficient in JavaScript for client-side scripting within Extend applications. Basic knowledge of Java for Studio-based integrations. Familiarity with CI/CD tools (e.g., Git, Jenkins, or Workday-supported pipelines). Understanding of Workday environments: sandbox, preview, and production. Ability to work effectively within an Agile delivery framework. Preferred Qualifications Workday Extend Certification (if applicable). Prior experience in the financial or banking sector (nice to have).