Jobs at SCI Solutions Global LLC

Develop and maintain full-stack applications using Python and Angular, including backend APIs, frontend components, database integrations, and application integrations. Troubleshoot technical issues, support implementation activities, ensure application quality, and collaborate with distributed cross-functional teams. Healthcare or clinical technology experience is preferred.

Develop scalable public cloud platform services for enterprise use. Responsibilities include hands-on Go development, REST API and microservices design, backend service deployment on Kubernetes, and CI/CD implementation with Jenkins. The role requires independent problem-solving and analytical skills, with AWS, Terraform, GCP, and Python experience preferred.

Develop and support Java applications and enterprise cloud infrastructure across AWS, Azure, and GCP. Automate infrastructure provisioning with Terraform, manage centralized logging and log aggregation, operate CI/CD pipelines, and create Python scripts for automation and troubleshooting.

Designs and implements GCP IAM policies, custom roles, service accounts, Workload Identity, and Identity Federation. Automates IAM provisioning with Terraform and supports CI/CD infrastructure deployments. Troubleshoots access issues, contributes to identity architecture and cloud security solutions, owns technical deliverables, and mentors junior engineers. Requires multi-cloud, Kubernetes, infrastructure automation, and Go programming knowledge.

Performs hands-on manual software testing across functional, system, integration, end-to-end, regression, exploratory, and negative scenarios. Creates and executes test cases against requirements, user stories, and acceptance criteria; documents, tracks, retests, and closes defects. Works in an Agile/Scrum environment, manages testing priorities, identifies edge cases and quality risks, and communicates findings clearly using Zephyr Scale, Jira, Confluence, and SharePoint.

Business Analyst responsible for analyzing business processes, translating business needs into application and operational requirements, facilitating collaboration between business and technical stakeholders, and managing priorities in an agile product environment. The role requires hands-on experience with Zephyr Scale, Jira, Confluence, and SharePoint, along with strong requirements analysis, process mapping, communication, and problem-solving skills.

Designs and scales enterprise test automation frameworks for web, mobile, and API platforms. Develops automated testing strategies, integrates test suites into CI/CD pipelines and cloud environments, validates databases and APIs, manages defects, creates quality dashboards, and promotes shift-left testing with DevOps, SRE, and development teams. The role also covers accessibility, PCI compliance, functional, regression, integration, load, and performance testing.

Gather and document business requirements, map processes, perform gap and systems analysis, and create BRD/FRD documentation. Develop Power BI reports and dashboards using DAX and Power Query, support data modeling and integration, automate workflows with Power Apps and Power Automate, and coordinate UAT with business and technical stakeholders.

Develop and maintain enterprise applications across the full software development lifecycle. Build C#/.NET backend services and RESTful APIs, create frontend features using Angular or React, optimize SQL Server databases, write unit tests, troubleshoot issues, and apply secure, scalable development practices. Collaborate with technical and business teams in an Agile/Scrum environment while using source control, CI/CD pipelines, and automated deployment processes.

Develop and maintain scalable ETL/ELT pipelines and distributed data processing solutions using Python, PySpark, and AWS. Build cloud data solutions with S3, EMR, and Lambda; automate infrastructure with Terraform; integrate REST APIs, Kafka, and MQ; support Cassandra storage; orchestrate workflows with Airflow and Control-M; and troubleshoot performance, reliability, and data quality issues.

Build and enhance a cloud-hosted distributed data platform using Java, Spring Boot, gRPC, Cassandra, and AWS services. Design scalable, low-latency backend systems; optimize P90/P99 latency; model data; troubleshoot production issues; and evaluate OLAP, vector, and graph database technologies. Clearly communicate technical decisions and system architecture.

Develop and maintain secure, high-quality Core Java and Spring Boot software in large-scale environments. Design components, troubleshoot complex issues, implement automated unit, integration, and performance testing, and work with AWS infrastructure. Apply SDLC, Agile, CI/CD, resiliency, and security practices. Collaborate cross-functionally on Java support applications, cloud-native solutions, and potentially front-end technologies and analytics platforms.

Build and maintain production data pipelines and ingestion solutions using Python and AWS services. Support data lakes and lakehouse technologies including S3, Glue, Lake Formation, Apache Iceberg, Snowflake, and Databricks. Manage CI/CD pipelines with Jenkins and Bitbucket, troubleshoot pipeline issues, improve data quality, and collaborate with platform and engineering teams on shared data services.

Build and maintain cloud-native backend applications using Java or Python and AWS. Develop REST APIs and microservices, design databases, automate deployments, and support resilient multi-region enterprise data platforms. Responsibilities include AWS service integration, CI/CD, infrastructure as code, workflow orchestration, disaster recovery, data reconciliation, retention, archiving, and lifecycle management.

Develop and support enterprise Java applications using Python, AWS, Terraform, and CI/CD pipelines. Troubleshoot production issues, ensure application resiliency and security, and participate throughout the SDLC in Agile environments. The role also involves cloud modernization, distributed systems, observability, microservices, event-driven architecture, and responsible use of AI-assisted development tools.

Develop responsive React interfaces and Java Spring Boot backend services for an enterprise cloud self-service platform. Build REST APIs, optimize SQL and database integrations, contribute to AI-powered agents and agentic workflows, and improve usability, performance, and developer experience. Collaborate with engineering and product teams in an Agile environment through code reviews, technical discussions, and UI modernization initiatives.

Develops, tests, deploys, maintains, and improves Java J2EE applications and data pipeline solutions. Builds ETL and streaming pipelines with PySpark and Spark, using AWS services including SQS, Lambda, S3, and RDS. Applies Agile practices, CI/CD, TDD, cloud development, resiliency, and security principles. Preferred experience includes Unix shell scripting, Terraform infrastructure as code, and practical LLM development using OpenAI Azure.

Develop and deploy scalable full-stack applications using Java, React, and AWS. Build secure APIs and services, collaborate with product and platform teams, troubleshoot production issues, optimize performance, and contribute to Agile delivery and CI/CD pipelines.

Develop and maintain Java J2EE applications and resilient ETL and streaming data pipelines. Build cloud-based workflows using PySpark/Spark and AWS services including SQS, Lambda, S3, and RDS. Participate in Agile delivery, testing, deployment, maintenance, CI/CD, TDD, and application resiliency practices. The role requires strong Java or Python skills and at least five years of applied software engineering experience. Terraform, Unix shell scripting, and practical LLM development experience are preferred.

Develop and maintain Java J2EE applications and resilient ETL or streaming data pipelines. Build solutions with PySpark/Spark and AWS services including SQS, Lambda, S3, and RDS. Participate in Agile delivery, testing, deployment, CI/CD, and maintenance while applying cloud development, security, resiliency, and TDD practices. Preferred experience includes Unix shell scripting, Terraform, and LLM use-case development on OpenAI Azure.