Jobs at SCI Solutions Global LLC

Provides functional consulting for end-to-end Workday HCM implementations and enhancements. Gathers requirements, performs fit-gap analysis, designs and configures Workday solutions, supports integrations, data migration, testing, deployment, and post-go-live activities. Collaborates with HR and business stakeholders across Core HR, talent, compensation, benefits, absence, recruiting, performance, and learning processes while preparing documentation and training materials.

Design, build, and operate scalable Python backend services, REST APIs, microservices, serverless applications, and event-driven architectures on AWS. Deploy containerized workloads, provision infrastructure, maintain CI/CD pipelines, implement observability and security, and design highly available systems. Troubleshoot production issues, apply SRE practices, participate in technical design and code reviews, and provide technical leadership to stakeholders.

Develop and support a fraud risk application using Java, Spring Boot, microservices, REST APIs, AWS, front-end technologies, and SQL. Responsibilities include building scalable services, integrating responsive interfaces, supporting batch and data workflows, troubleshooting production issues, optimizing databases, and collaborating with engineering, platform, compliance, and business teams in an Agile/Scrum environment.

Designs, develops, and maintains scalable AWS data platforms, data lakes, and pipelines. Builds workflows with Glue, S3, Lambda, and Step Functions; implements governance and access controls through Lake Formation; automates infrastructure with Terraform; and develops Python and Boto3 integrations. Manages Snowflake platforms, CI/CD deployments, testing, monitoring, troubleshooting, and production optimization using CloudWatch and Splunk. Collaborates with engineering and architecture stakeholders while using AI-assisted development tools.

Develop and maintain enterprise Java backend applications for a fraud risk platform. Build scalable microservices and REST APIs using Spring Boot, support AWS-hosted applications and services, optimize SQL queries, troubleshoot databases and production issues, support batch-processing workflows, perform root cause analysis, and collaborate with engineering, compliance, platform, and business teams in an Agile environment.

Develop and maintain full-stack applications using Java, Spring or Spring Boot, React, RESTful APIs, microservices, AWS, and SQL or NoSQL databases. Responsibilities include software development, testing, debugging, performance optimization, and cloud deployment. The role may support enterprise-scale banking or financial services applications and requires strong analytical, problem-solving, and communication skills. This is a 100% onsite W2 position in Columbus, Ohio, limited to USC, Green Card, or Green Card EAD holders.

Develop and maintain enterprise backend applications for a fraud risk platform using Java, Spring Boot, microservices, REST APIs, AWS, and SQL. Responsibilities include supporting AWS services and batch data workflows, troubleshooting production issues, performing root cause analysis, optimizing database queries, and improving application reliability and performance. The developer will collaborate with engineering, platform, compliance, and business teams in an Agile/Scrum environment.

Develop and maintain Python backend applications, REST APIs, and microservices. Design AWS cloud solutions using serverless, container, database, messaging, networking, and security services. Build containerized deployments, infrastructure as code, CI/CD pipelines, automated tests, monitoring, logging, alerting, and observability practices. Participate in code reviews, Agile development, production support, and technical problem-solving.

Develop and modernize enterprise .NET applications using C#, Microsoft SQL Server, cloud-native architectures, CI/CD, TDD, and automated testing. Analyze legacy code and data, modernize SQL jobs and stored procedures, support Agile teams, promote engineering best practices, and provide technical mentorship.

Configure and generate AUTOSAR Runtime Environments using Vector DaVinci tools, integrate Classic AUTOSAR software components, and create AUTOSAR compositions for ADAS ECUs. Support ECU integration, component communication, troubleshooting, and collaboration with embedded software and ADAS development teams.

Provides hands-on support for hardware and software in an automotive test lab. Troubleshoots lab equipment and validation environments for infotainment systems, instrument clusters, HUDs, and other cockpit electronics. Maintains lab readiness, assists engineering and validation teams, investigates recurring issues, documents resolutions, and supports root-cause analysis.

Conduct software research and development involving C, Python, machine learning algorithms, and advanced algorithmic solutions. Research, prototype, implement, validate, and improve machine learning concepts through software. Analyze complex technical problems, collaborate with engineering and research teams, and document technical findings and implementations.

Develop production-grade Python applications and API integrations using Django, FastAPI, or Zope REST Framework. Build ETL and data integration solutions, process XML and JSON, write complex SQL and MySQL queries, and parse PDF and Excel documents into structured JSON. Conduct code reviews, mentor developers, and collaborate with cross-functional teams.

Develop software applications in Python, integrate third-party and portfolio management APIs, build ETL and data integration solutions, process XML and JSON, work with MySQL and complex SQL, extract information from PDF and Excel documents, conduct code reviews, and mentor developers.

Lead the design, development, and implementation of enterprise Oracle SQL and PL/SQL database solutions. Perform data modeling, analysis, API development, performance tuning, and ETL batch-job maintenance using Informatica and AutoSys. Provide technical leadership through architecture and code reviews, mentorship, Agile engineering practices, automated testing, CI/CD, troubleshooting, and collaboration with global teams while remaining hands-on with development.

Develop and maintain complex Oracle SQL and PL/SQL solutions, including stored procedures, packages, data models, database business logic, and data APIs. Optimize database performance through query tuning, execution-plan analysis, PGA tuning, and partitioning. Build ETL and batch-processing jobs using Informatica and Autosys, create automated tests, support CI/CD and Agile practices, participate in design and code reviews, and mentor teammates while remaining hands-on.

Develop, test, deploy, and support scalable full-stack Java applications and RESTful APIs using AWS and SQL/NoSQL databases. Troubleshoot production issues, optimize performance and reliability, and participate throughout the software development lifecycle. Collaborate with product, platform, technical, and business teams to deliver enterprise banking solutions. Experience with large-scale financial services platforms and the Chase ecosystem is preferred.

Design, develop, test, and maintain complex Oracle SQL and PL/SQL solutions, including stored procedures, packages, data models, APIs, and database business logic. Optimize database performance, manage ETL and batch-processing jobs using Informatica and Autosys, and translate requirements into scalable software. Participate in design and code reviews, automated testing, CI/CD, regression testing, and continuous delivery. Collaborate with global teams, mentor colleagues, and remain hands-on in the codebase.

Develop and maintain Java/J2EE applications, ETL workflows, and streaming data pipelines using PySpark/Spark and AWS services. Build secure, scalable cloud solutions while supporting CI/CD, TDD, Agile delivery, troubleshooting, deployment, and ongoing maintenance. Preferred experience includes Unix/Linux shell scripting, Terraform infrastructure as code, and LLM use cases using OpenAI or Azure.

Develop and maintain Java J2EE applications and resilient ETL and streaming data pipelines. Build solutions with PySpark/Spark and AWS services including SQS, Lambda, S3, and RDS. Participate in Agile delivery, testing, deployment, maintenance, CI/CD, TDD, cloud development, and application resiliency practices. The role requires strong software engineering experience and may involve Shell scripting, Terraform, and LLM use-case development on OpenAI Azure.