NucleusTeq is looking for an entrepreneurial and creative Full Stack Web Developer to join our energetic team of high performers in this fast-paced Fortune 100 company that delivers world-class experiences. You will be challenged with identifying innovative ideas and proof of concept to deliver against the existing and future needs of our customers. The Fullstack engineer, will be an individual contributor who may ensure optimal design/architecture of the web components that power our digital experiences which are crucial for our customers as we strive to be essential to their everyday lives. Continuing to drive innovation and delivery in digital channels is a key part of the strategy for continuing to delight customers. Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every day. Today, innovative ideas, insight and new perspectives are at the core of how we create a more powerful, personal and fulfilling experience for all our customers. So if you re interested in a career creating breakthrough software and making an impact on an audience of millions, look no further. Responsibilities Serving as a core member of an agile team that leads user story analysis and elaboration, designs and develops software applications. Responsible for the applications architecture, work/coordinate with other team s architect, engineers and vendors as necessary. Writing code and unit tests, automation, and conducting code reviews and testing. Identifying exciting opportunities for adopting new technologies to solve existing needs and predicting future challenges. Performing ongoing refactoring of code, utilizing visualization and other techniques to fast track concepts, and delivering continuous improvement. Working with product managers to prioritize features in the product backlog and managing a list of technical requirements based on industry trends, new technologies, known defects, and issues. Manage your own time, and work well both independently and as part of a team. Quickly generate and updating proof of concepts for testing and team feedback. Embrace emerging standards while promoting best practices. Qualifications: BS or MS degree in computer science, computer engineering (preferred). Java, Web development work experience. Demonstrated experience in Agile development, application design, software development, and testing. 5+ year working experience with Java and java based frameworks like Spring. 5+ year working experience with JavaScript Frameworks such as REACT/Redux, HTML5, CSS3. 5+ years of experience with building RESTful APIs. 3+ years of experience with reactive programming using frameworks like spring reactive, vert.x etc are a plus. Expertise to create and manage high volume, scalable and distributed omni-channel customer centric applications. Expertise in objected oriented analysis and design across a variety of platforms. Thorough understanding of JSON, Web Service technologies, and data structure fundamentals. Experience with adaptive and responsive development techniques. Aptitude for learning and applying programming concepts. Ability to effectively communicate with internal and external business partners. Experience with Kotlin programming language is a plus. Experience with a broad range of software languages and payments technologies is a plus.

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in PySpark , SQL and will be responsible for designing, developing, and maintaining scalable data pipelines. You will collaborate with cross-functional teams to ensure the availability, reliability, and performance of our data infrastructure, enabling data-driven decision-making across the organization. Key Responsibilities: Design, develop, and optimize large-scale data pipelines using PySpark . Write efficient and complex SQL queries for data extraction, transformation, and analysis. Perform data extraction , transformation, and loading ( ETL ) processes from various data sources. Ensure data quality, reliability, and security through effective monitoring and validation techniques. Automate data workflows and processes to enhance efficiency and reduce manual intervention. Troubleshoot and resolve issues related to data processing, storage, and performance. Stay up-to-date with the latest trends and technologies in data engineering and implement best practices. Required Skills Qualifications: Proficiency in PySpark for distributed data processing. Strong knowledge of SQL and experience with databases such as MySQL , PostgreSQL Familiarity with cloud platforms (e.g., AWS , Azure , or Google Cloud ) is a plus. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Requirements: Bachelors degree in Computer Science, Engineering, or related field. Excellent problem-solving skills and attention to detail. Strong communication and leadership abilities.

" A Data Engineering Incident Lead will be responsible for managing the day-to-day operations, ensuring platform reliability, and overseeing incident management and resolution processes. You will collaborate closely with engineering, product, and infrastructure teams to ensure the smooth functioning of systems and provide a high level of operational support to meet business goals. Key Skills: Data Engineering, Docker, Kubernetes, CI/CD, Azure DevOps or AWS Code Pipeline Job responsibilities Lead and mentor the L1/L2 operations teams, ensuring a high level of technical support and service quality. Lead incident resolution processes for L1 and L2 operations, ensuring timely and effective troubleshooting of technical issues. Define and implement procedures for handling escalations and high-priority incidents. Ensure root cause analysis is conducted for major incidents and follow up on remediation actions. Develop and enforce Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) for platform performance and support operations. Monitor adherence to SLAs and manage escalations to maintain customer satisfaction. Oversee the platforms operational stability and performance, ensuring high availability and scalability. Monitor and manage platform performance metrics, proactively addressing any potential issues. Ensure comprehensive documentation of operational procedures, troubleshooting guides, and runbooks for the L1/L2 support teams. Create detailed operational reports and dashboards for tracking system health and team performance. Qualifications: Bachelors degree in computer science, Information Technology, or a related field. 10+ years of experience in IT operations, with at least 3 years in a leadership role managing platform support and L1/L2 teams. Strong understanding of IT infrastructure, cloud platforms, and operational best practices. Strong experience on Docker, Kubernetes Helm along with any programming language (Java preferred) experience to support platform KLO monitoring. ITIL certification will be highly preferred. Extensive experience with implementing and managing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps or AWS Code Pipeline. Tools: Any IDE, Git, Jenkins Proven experience with incident management, service management, and driving process improvements. Expertise in monitoring tools, automation frameworks, and platform performance optimization. Excellent leadership, communication, and problem-solving skills

" Test Engineers with hands-on experience in automation testing using Selenium, Java programming language Hands on experience in Front end (UI) and API automation using Rest Assured library Experience in developing automation frameworks from scratch like Hybrid, TDD, BDD etc... Experience in framework maintenance Experience in manual test methods, test cases, testing types/levels and all related testing aspects Hands on experience in writing basic to medium complex queries with good Data base knowledge Experience troubleshooting, debugging code Good to have Experience in CI/CD pipelines using tools like Jenkins, build tools like Maven, Git etc.. Hands on experience in tools like JIRA Experience working in Agile/Scrum method Important points: Good communication skills, logical skills, problem solving skills are must Quality assurance process, testing life cycle , reporting skills are required Good Java programming hands on experience required "}

4 - 7 years of backend development experience with Java, Spring Boot stack, RESTServices, Spring Framework, AOP, Spring Transactions, Spring Security JPA Understanding and strong practice with development of Microservices and Multi Tiered Distributed Architecture Knowledge of SDLC processes and tools, Iterative Design Prototyping Hands on Experience working with databases - SQL/NoSQL Hibernate/ORM Auth/Security - OAUTH, JWT, SSO Experience with Docker, Kubernetes Working knowledge of CI/CD Have worked on Any API Gateway Public Cloud knowledge

We are seeking an experienced and results-driven Team Lead to be an individual contributor building and scaling a new Inside Sales Market Research team for pipeline development and revenue growth. The ideal candidate will have a strong background in B2B SaaS, Data AI sales, or analytics solutions. You will play both an individual and team role identifying prospects, conducting comprehensive account research, account based outreach, account engagement and qualification. You will supplement our sales pipeline and handoff opportunities to our sales team to move through the sales process and close. Key Responsibilities Lead Manage Team: Individual contributor and build a new team of inside sales representatives and market research analysts, ensuring productivity and goal alignment. Sales Pipeline Development: Drive lead generation, prospect outreach, and opportunity qualification to build a healthy sales pipeline for direct sales. Market Research Insights: As an individual contributor and a team lead - Guide the team in conducting in-depth industry research to identify market trends, competitor insights, buyer personas and customer needs. Collaboration with Sales Marketing: Work closely with the sales and marketing teams to refine targeting strategies and optimize outreach campaigns. Performance Monitoring Reporting: Track team performance, analyze sales data, and report key metrics to leadership. Process Optimization: Implement best practices, tools, and automation to enhance efficiency in lead generation and research activities. Qualifications Experience 5+ years of experience in B2B Inside Sales, Market Research, or Lead Generation, preferably in SaaS, Data Analytics, or AI solutions. 2+ years of team leadership experience, managing inside sales and/or research teams. Strong understanding of B2B sales cycles, lead qualification frameworks (BANT, MEDDIC), and CRM tools (HubSpot, Salesforce, ZoomInfo etc.). Experience in data-driven decision-making, research methodologies, and competitor analysis. Excellent communication, coaching, written and analytical skills. Ability to work in a fast-paced, global environment with flexibility to overlap with all US time zones.

We are looking for Inside Sales Market Research Associates to join our growing team. This role involves identifying and engaging potential customers, conducting in-depth market research, and supporting the sales team with valuable insights. The ideal candidate will have experience in B2B lead generation, market research, or inside sales , particularly in the SaaS, Data Analytics, or AI space. Key Responsibilities Lead Generation Prospecting: Identify potential clients, qualify leads, and maintain a strong pipeline of opportunities. Market Research Analysis: Conduct research on industry trends, competitors, and customer needs to provide actionable insights. Outreach Engagement: Use email campaigns, LinkedIn, and cold calling to engage prospects and schedule meetings for the sales team. CRM Data Management: Maintain accurate records of leads, prospects, and sales activities in CRM tools like HubSpot or Salesforce. Collaboration with Sales Marketing: Work closely with sales and marketing teams to refine targeting strategies and optimize outreach efforts. Reporting Performance Metrics: Track key metrics such as conversion rates, engagement levels, and market trends to improve processes. Qualifications Experience 1-3 years of experience in Inside Sales, Market Research, or Lead Generation (preferably in B2B SaaS, Data Analytics, or AI solutions). Strong understanding of B2B sales cycles, lead qualification methods (BANT, MEDDIC), and CRM platforms . Excellent communication, research, and analytical skills. Ability to work in a fast-paced, global environment with some overlap in US time zones. Self-motivated, target-driven, and eager to learn in a high-growth industry

Lead and manage a small team responsible for the development of NuoData TransformX s migration engine to transition Datastage workloads to modern data platforms. Design, develop, and implement a scalable migration framework to automate data movement from IBM Datastage to Databricks, Snowflake, or other target platforms. Collaborate with product managers, data architects, and engineers to shape the product roadmap and deliver high-impact solutions. Optimize data integration workflows, ensuring high performance, scalability, and cost efficiency . Troubleshoot and resolve issues related to data transformation, ingestion, and pipeline orchestration. Provide technical guidance, mentoring, and leadership to team members. Ensure compliance with data governance, security, and quality standards throughout the migration process. Keep up to date with the latest advancements in data integration, ETL modernization, and cloud-based data processing . Required Qualifications Skills: 4+ years of experience in data engineering and integration, with at least 1+ years working with IBM Datastage . Experience leading data migration projects from legacy ETL tools to modern cloud-based solutions . Strong hands-on expertise in Databricks, Snowflake, Apache Spark , or other modern data platforms. Deep understanding of ETL/ELT processes, data integration, and data transformation strategies . Proficiency in SQL, Python, Scala, or Java for data processing and transformation. Experience working with cloud ecosystems (AWS, Azure, GCP) for data warehousing and pipeline development. Familiarity with orchestration tools like Apache Airflow, Prefect, or similar. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment . Excellent communication skills to coordinate with stakeholders and present technical solutions effectively. Preferred Qualifications: Certification in Databricks, Snowflake, or IBM Datastage . Experience with real-time data streaming technologies (Kafka, Spark Streaming, etc.) . Prior experience in leading migration automation initiatives

As a Full Stack Engineer, you will be responsible for developing and maintaining both front-end and back-end components of our web applications. You will collaborate closely with our product development team to deliver high-quality, scalable, and robust solutions. Responsibilities: Develop and maintain front-end components using React.js, ensuring high performance and responsiveness. Design and implement scalable back-end services and APIs using Java and related frameworks. Collaborate with cross-functional teams to define, design, and ship new features. Participate in code reviews and provide constructive feedback to ensure code quality and maintainability. Optimize applications for maximum speed and scalability. Troubleshoot and debug issues across the entire stack, from front-end to back-end. Stay updated with the latest technologies and industry trends, and propose innovative solutions to improve our products. Work closely with UX/UI designers to implement designs and ensure a seamless user experience. Write clean, maintainable, and well-documented code. Contribute to the continuous improvement of our development processes and practices. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Proven experience as a Full Stack Engineer or similar role. Strong proficiency in JavaScript, including ES6+ syntax, and experience with React.js and its core principles. Solid understanding of Java programming language and experience with Java frameworks such as Spring Boot. Experience with RESTful API design and development. Familiarity with database technologies such as SQL and NoSQL (e.g., MySQL, MongoDB). Proficiency in HTML5 and CSS3. Experience with version control systems, such as Git. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Ability to work in a fast-paced environment and manage multiple tasks concurrently. Experience with Agile development methodologies is a plus. Join us and be part of a collaborative team that is passionate about creating cutting-edge web applications. If you are driven by innovation and enjoy solving complex technical challenges, we'd love to hear from you. Apply now!

Design and build APIs that interface with external systems Design and build data pipelines Strong Python programming with experience on building modular applications, API integrations and packaging. Strong SQL/Database skills with the ability to write medium to complex SQL queries for data operations Encourage a culture of rigorous documentation and software testing Experience & Skills Required 5+ years of relevant experience with Python development. Strong knowledge of Python frameworks (Django,FastAPI, Falcon, etc) BS degree in Computer Science or related field, or equivalent work experience; 3-5 years professional experience Experience with SQL and/or NoSQL databases (PostgreSQL, Oracle, MongoDB, Redis etc.) Ability to write clean, testable, and well-documented code Deep understanding of API development and integration Knowledge of source control tools, especially GIT Experience in API development. Highly self-motivated and results-oriented team player.

Design and develop web applications using Java for backend development and React for frontend development. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Write clean, well-documented, and efficient code following best practices. Troubleshoot and resolve software defects and technical issues. Optimize applications for maximum speed and scalability. Participate in code reviews, testing, and deployment processes. Stay updated with industry trends and technologies to continuously improve development practices. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Minimum of 4 years of professional experience in Java and React development. Strong knowledge of Java frameworks (e.g., Spring, Hibernate) and RESTful API development. Proficiency in React.js and related libraries/tools (e.g., Redux, React Router). Solid understanding of web technologies like HTML, CSS, and JavaScript. Experience with databases (SQL/NoSQL) and version control systems like Git. Familiarity with Agile methodologies and DevOps practices. Excellent problem-solving skills and attention to detail. Preferred Skills: Knowledge of cloud platforms like AWS or Azure. Experience with CI/CD pipelines and containerization tools (e.g., Docker, Kubernetes). Exposure to testing frameworks like JUnit, Jest, or Selenium. Soft Skills: Strong communication and collaboration skills. Ability to work independently and in a team environment.

Nucleusteq is looking for Data Engineer (Python) to join our dynamic team and embark on a rewarding career journey Liaising with coworkers and clients to elucidate the requirements for each task Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed Reformulating existing frameworks to optimize their functioning Testing such structures to ensure that they are fit for use Preparing raw data for manipulation by data scientists Detecting and correcting errors in your work Ensuring that your work remains backed up and readily accessible to relevant coworkers Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs

Nucleusteq is looking for Content Designer to join our dynamic team and embark on a rewarding career journey Develop engaging content Ensure alignment with brand guidelines Optimize content for target audience Collaborate with marketing teams

Aggregation of Data Cloud usage data across product features and prototyping of curated datasets to provide detailed usage insights, to be used in providing a consolidated data product for leadership Define and analyze new growth metrics to be used in quantifying a Data Cloud flywheel. Analyze relationships between usage patterns and success criteria (such as retention and increases in usage) across different customer cohorts to reveal insights into what factors make Data Cloud customers more likely to adopt and retain the product. Time-series analysis of customer patterns in consumption of Data Cloud credits over time, to provide critical visibility into usage acceleration rates and seasonal patterns. Description Enable us to deliver on a much wider range of impactful requests from Data Cloud leadership that are critical for executive decision-making and understanding of Data Cloud success. Expand the data products that we can deliver to address the needs of decision-makers across Data Cloud. Deliver actionable insights to maintain and accelerate the Data Cloud flywheel. Required Skills An ideal candidate should have more than 5 years of experience as a Data Scientist Strong analytical and data manipulation skills with Python or R. Advanced SQL skills. Proficient in Statistical analysis and ML. Business acumen and strategic thinking. Good communicator in written and verbal form, ability to present insights effectively.

" Role Summary Aggregation of Data Cloud usage data across product features and prototyping of curated datasets to provide detailed usage insights, to be used in providing a consolidated data product for leadership Define and analyze new growth metrics to be used in quantifying a Data Cloud flywheel. Analyze relationships between usage patterns and success criteria (such as retention and increases in usage) across different customer cohorts to reveal insights into what factors make Data Cloud customers more likely to adopt and retain the product. Time-series analysis of customer patterns in consumption of Data Cloud credits over time, to provide critical visibility into usage acceleration rates and seasonal patterns. Description Enable us to deliver on a much wider range of impactful requests from Data Cloud leadership that are critical for executive decision-making and understanding of Data Cloud success. Expand the data products that we can deliver to address the needs of decision-makers across Data Cloud. Deliver actionable insights to maintain and accelerate the Data Cloud flywheel. Required Skills An ideal candidate should have more than 5 years of experience as a Data Scientist Strong analytical and data manipulation skills with Python or R. Advanced SQL skills. Proficient in Statistical analysis and ML. Business acumen and strategic thinking. Good communicator in written and verbal form, ability to present insights effectively. "}

The Technical Writer will be responsible for creating high-quality documentation and multimedia content to support the adoption and enablement of our product. Key Responsibilities: Develop clear, concise, and engaging documentation (user guides, FAQs, training materials). Design visually compelling infographics, and one-pagers. Create effective video content, including screen recordings, tutorials, and promotional materials. Required Skills & Experience: Proficiency in documentation tools (Confluence, Markdown, Google Docs, Google Sites etc.). Experience with design tools (Figma, Canva, or similar). Video editing expertise (Camtasia, Adobe Premiere Pro, or similar). Ability to simplify complex technical concepts into user-friendly content. Strong communication and storytelling skills.