Jobs at SCI Solutions Global LLC

Develop and architect complex Salesforce solutions across Core Platform, Service Cloud, and Experience Cloud. Build Lightning applications, flows, Apex, LWC, Visualforce, integrations, and automation using REST, SOAP, MuleSoft, and Salesforce APIs. Collaborate with project managers, IT teams, business stakeholders, vendors, and analysts to define requirements, estimate project resources, document use cases and tests, and deliver secure, scalable solutions. Translate technical concepts for technical and nontechnical audiences while supporting large strategic projects.

Build and maintain data engineering solutions using Python, PySpark, and big data technologies. Work with AWS services including S3, EMR, and Lambda, while supporting infrastructure through Terraform. Integrate Java, REST APIs, messaging systems, Kafka, Cassandra, Airflow, Control-M, and native schedulers. Databricks experience and familiarity with machine learning workflows are preferred.

Business Analyst supporting enterprise data and analytics initiatives by gathering requirements, facilitating stakeholder workshops, documenting processes and data flows, coordinating source-system onboarding, tracking project dependencies, supporting UAT, and translating business needs into technical solutions. The role also manages communications, reporting, knowledge transfer, and process improvement activities while partnering with architects, engineers, and platform teams.

Analyze complex datasets, optimize SQL queries, develop dashboards and visualizations, ensure reporting accuracy, and translate findings into actionable recommendations. The role supports strategic reporting and data-driven decisions while communicating insights to stakeholders. Experience with cloud data environments and AI-powered analytics tools is preferred.

Develop embedded software in C++14/17 for Linux-based systems. Responsibilities include implementing threaded applications, using development and version-control tools, debugging software, troubleshooting technical issues, following software development lifecycle practices, and collaborating effectively while working independently.

Build and manage data engineering solutions involving data modeling, ETL/ELT, integration, master data management, data quality, warehousing, analytics, business intelligence, and governance. Use Microsoft Azure, Informatica, Snowflake, and programming languages including Python, C#, SQL, and Java. Communicate complex technical concepts clearly, analyze data to identify opportunities, advise stakeholders, and drive strategic improvements.

Analyzes and documents business processes and requirements, creates reports using financial and operational data, identifies process inefficiencies, supports change management, and prepares test cases for system changes. The role collaborates with IT, finance, and operations teams while using spreadsheets, business intelligence tools, SQL, and project management software to support decision-making and process improvement.

Owns manual and automated QA testing for portal UI and APIs. Validates deliverables against Figma designs and acceptance criteria, creates and executes test scripts, manages test cases, participates in Agile sprint ceremonies, and supports defect triage.

Senior QA Tester responsible for planning and executing functional, integration, regression, UAT, API, database, and performance testing for large-scale Mainframe and .NET enterprise applications. The role includes SQL-based data validation, defect lifecycle management, test documentation, and collaboration with developers, business analysts, and stakeholders in Agile and Hybrid environments. Automotive experience, QA certifications, AI-assisted testing, cloud modernization, and legacy system replacement experience are preferred.

Leads development and support of enterprise .NET applications, coordinates offshore teams, provides technical guidance, reviews code, translates business requirements into technical solutions, and ensures architecture and quality standards. The role includes sprint planning, backlog refinement, release activities, production troubleshooting, mentoring junior developers, and maintaining technical documentation.

Develop and deploy scalable enterprise applications using Java, Spring Boot, microservices, REST APIs, and React.js or Angular. Build responsive frontends, optimize application performance, participate in Agile ceremonies and code reviews, support CI/CD activities, and collaborate with distributed cross-functional teams.

Develop reusable React components and enterprise-scale UI applications for payment platforms. Build features independently, integrate frontends with backend APIs, troubleshoot application issues, maintain code quality, and collaborate across engineering teams. The role requires React.js, TypeScript, JavaScript, modern UI development, testing with React Testing Library and Playwright, GitHub, AWS, and AI-assisted development tools. Java backend, REST API, middleware troubleshooting, and AI agent experience are preferred.

Designs and develops scalable, cloud-native Python backend services and APIs using microservices, serverless, and event-driven architectures. Builds AWS solutions with Lambda, containers, databases, caching, infrastructure as code, CI/CD, observability, and security best practices. Troubleshoots production systems, improves performance and cloud efficiency, applies reliability engineering practices, and provides technical leadership in an onsite Plano environment.

Design, develop, test, deploy, and support scalable full-stack applications using Java, React, and AWS. Build backend services, microservices, and RESTful APIs; develop user interfaces; integrate SQL and NoSQL databases; troubleshoot production issues; optimize performance; and contribute to code reviews, testing, CI/CD, and Agile/Scrum collaboration.

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, cloud-native deployment, and collaboration within Agile environments. Experience with enterprise-scale distributed systems and banking or financial services applications is preferred.

Develop and enhance backend applications using Java and Spring Boot, build microservices and REST APIs, use AWS cloud and batch-processing services, optimize SQL queries, troubleshoot production issues, and collaborate with engineering, platform, compliance, and business teams.

Develop and enhance backend applications using Java and Spring Boot. Build and maintain microservices and REST APIs, work with AWS cloud and batch-processing services, optimize SQL queries, troubleshoot applications and production issues, and collaborate with engineering, platform, compliance, and business teams in an Agile/Scrum environment.

Designs, develops, and maintains scalable AWS data platforms, data lakes, and pipelines using Glue, S3, Lambda, Step Functions, Python, Snowflake, and Terraform. Implements governance and security through Lake Formation, automates infrastructure and deployments with CI/CD, and monitors production workloads using CloudWatch and Splunk. Collaborates with engineering and architecture teams to deliver reliable data solutions, leveraging modern AI-assisted development tools.

Develop and enhance backend applications using Java and Spring Boot. Build microservices and REST APIs, work with AWS cloud and batch-processing services, optimize SQL queries, troubleshoot databases and production issues, and support reliable application delivery in an Agile environment. Collaborate with engineering, platform, compliance, and business teams. Preferred experience includes Snowflake, data warehousing, ETL, Terraform, AI/ML, and AI-assisted development tools.

Design, build, and operate scalable, reliable Python backend services, REST APIs, and microservices. Use AWS cloud-native technologies, containers, infrastructure as code, and CI/CD pipelines. Implement security, monitoring, logging, alerting, observability, automated testing, and production support while participating in code reviews and Agile development.