**Introduction** In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. **Your role and responsibilities** Day-to-day troubleshooting of forecasting systems, mainly working through data anomalies that cause inaccurate forecasts or prevent forecasts' generation. • Collaborate with the data science team to enhance existing forecasting systems for the trade floors. • Create dynamic object-oriented methods, full stack solutions, and integrations to existing code solutions. • Develop individual Python classes, methods, functions that support the data flow of existing and new projects. • Work on code additions to seamlessly support projects for data flows, including logging and support, with little to no supervision. • Experience in modifying packages, testing, and repository instances to support CI/CD. **Required technical and professional expertise** Primary Skill: AWS+Java+Springboot Secondary Skill: AWS Cloud Formation, Experience: Microservice and/or Serverless Solutions on AWS, Tech Lead Years of Experience: 5Leadership Skills: Excellent communication, Ability to guide, mentor, Risk Management, Stakeholder Management, Adaptability and Resilience AWS Specific: AWS Gateway, Lambdas/EC2/ECS/EKS (at least 1, desired 2+), RDS, S3, IAM•Technical Leadership: Proven ability to lead and mentor a team of engineers, providing technical guidance, support, and feedback to foster growth and achieve project objectives. •Architecture Design: Strong understanding of software architecture principles and experience in designing scalable, reliable, and maintainable systems using technologies like Java, AWS , and Postgres.. •Team Collaboration: Excellent communication and collaboration skills to facilitate cross-functional teamwork, coordinate efforts between development, testing, and operations teams, and resolve conflicts effectively. •Risk Management: Proactive identification and mitigation of technical risks, dependencies, and impediments to project success, with a focus on minimizing disruptions and maximizing productivity. •Stakeholder Management: Effective communication with stakeholders, including product owners, business leaders, and external partners, to gather requirements, provide updates, and address concerns. •Problem-solving Skills: Strong analytical and problem-solving skills to identify root causes of technical issues, propose effective solutions, and guide the team in resolving complex challenges. •Vendor and Tool Evaluation: Researching and evaluating third-party tools, libraries, and services to support project requirements, making recommendations based on technical fit, scalability, and cost-effectiveness. •Adaptability and Resilience: Flexibility to adapt to changing priorities, requirements, and constraints, and resilience to overcome setbacks and challenges encountered during the project lifecycle. •Scrum Master: Experience in Agile project planning, resource allocation, and task prioritization to ensure timely delivery of high-quPrimary Skill: AWS+Java+Springboot Yes this is good **Preferred technical and professional experience** Secondary Skill: AWS Cloud Formation, Experience: Microservice and/or Serverless Solutions on AWS, Tech Lead Yes this is good Years of Experience: 5+ Yes this is good Leadership Skills: Excellent communication, Ability to guide, mentor, Risk Management, Stakeholder Management, Adaptability and Resilience AWS Specific: AWS Gateway, Lambdas/EC2/ECS/EKS (at least 1, desired 2+), RDS, S3, IAM•Technical Leadership: Proven ability to lead and mentor a team of engineers, providing technical guidance, support, and feedback to foster growth and achieve project objectives. •Architecture Design: Strong understanding of software architecture principles and experience in designing scalable, reliable, and maintainable systems using technologies like Java, AWS , and Postgres.. •Team Collaboration: Excellent communication and collaboration skills to facilitate cross-functional teamwork, coordinate efforts between development, testing, and operations teams, and resolve conflicts effectively. •Risk Management: Proactive identification and mitigation of technical risks, dependencies, and impediments to project success, with a focus on minimizing disruptions and maximizing productivity. •Stakeholder Management: Effective communication with stakeholders, including product owners, business leaders, and external partners, to gather requirements, provide updates, and address concerns. •Problem-solving Skills: Strong analytical and problem-solving skills to identify root causes of technical issues, propose effective solutions, and guide the team in resolving complex challenges. •Vendor and Tool Evaluation: Researching and evaluating third-party tools, libraries, and services to support project requirements, making recommendations based on technical fit, scalability, and cost-effectiveness. •Adaptability and Resilience: Flexibility to adapt to changing priorities, requirements, and constraints, and resilience to overcome setbacks and challenges encountered during the project lifecycle. •Scrum Master: Experience in Agile project planning, resource allocation, and task prioritization to ensure timely delivery of high-quality software solutions, utilizing Agile methodologies like Scrum or Kanban, Tools: Jiraality software solutions, utilizing Agile methodologies like Scrum or Kanban, Tools: Jira IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.