Jobs at Syncreon

Develop and troubleshoot JD Edwards EnterpriseOne integrations supporting Demand Scheduling Execution and EDI workflows. Responsibilities include working with DSE processing, F47 transaction tables, Orchestrator, AIS, BSSV, business functions, JSON integrations, SQL, inbound and outbound EDI mapping, error handling, reconciliation, and transaction debugging. The role collaborates with business users, EDI teams, and integration teams, with emphasis on automotive and manufacturing transactions such as 830, 862, 856, 810, 850, 860, and 997.

Designs, deploys, and supports cloud workloads across AWS and GCP, including AI and ML platform infrastructure. Builds enterprise CI/CD pipelines, automates infrastructure and configuration using Ansible and Python, manages containerized environments, and supports release engineering and platform operations. The role requires troubleshooting, root cause analysis, compliance experience in FedRAMP or NIST-based environments, and independent delivery of technical work.

Leads automation and controls systems across a cluster of plants, including upgrade roadmaps, digital manufacturing transformation, capital project execution, cybersecurity, infrastructure standards, budgeting, lifecycle management, business continuity, disaster recovery, stakeholder coordination, and capability development. Tracks project benefits and savings while escalating issues and contributing to regional and global automation initiatives.

Develop and support scalable Salesforce solutions across the full development lifecycle. Configure OmniStudio and Omni-Channel, build Apex and Lightning components, integrate Salesforce with external platforms, implement AI capabilities, establish CI/CD pipelines, optimize performance, and troubleshoot production issues.

Design and deliver scalable, secure, high-performance enterprise applications using Java, Spring Boot, REST APIs, microservices, and Angular. Define solution architectures aligned with business and technology strategies, emphasizing distributed systems and application integration. Apply extensive banking-domain experience, preferably involving credit card platforms, payment processing, or card lifecycle management.

Develop and manage ETL/ELT data pipelines using Databricks, PySpark, SQL, dbt, and Snowflake. Apply performance tuning, data quality frameworks, and enterprise SaaS integrations including Salesforce, D365, Coupa, Workday, and Concur. Candidates should have strong Python and SQL skills, experience with LLMs and retrieval-augmented generation, and be prepared for AI and agentic-tool assessments. The role requires 12 or more years of overall experience, U.S. citizenship, and local availability.

Business Analyst supporting finance and accounting teams by gathering requirements, translating them into system specifications, optimizing workflows, documenting processes, and supporting large-scale SAP implementations. The role requires strong knowledge of GAAP, general ledger, accounts payable and receivable, reporting, reconciliations, period close, data integration, Agile SDLC practices, governance, release management, and stakeholder coordination. SAP Fioneer and SAP Cloud4Banking expertise are central to the position.

Deploys and configures software in customer environments, develops API and custom-code integrations, troubleshoots application, infrastructure, and cloud issues, and automates deployments. Collaborates with engineering and product teams, maintains documentation, and supports implementation and go-live activities. Requires software, solutions, or implementation engineering experience, cloud and DevOps expertise, and strong customer-facing communication skills. Enterprise SaaS deployment experience and pharmaceutical, healthcare, life sciences, Terraform, monitoring, and AI/LLM knowledge are preferred.

Develop and maintain ETL/ELT data pipelines using Databricks, PySpark, SQL, dbt, and Snowflake. Apply Snowflake performance tuning, Unity Catalog, data quality frameworks, and Python. Integrate enterprise SaaS platforms including Salesforce, Dynamics 365, Coupa, Workday, and Concur. Candidates should have experience with LLMs, retrieval-augmented generation, and agentic AI tools. The role is limited to U.S. citizens and local candidates and requires 12 or more years of overall experience.

Leads automation and controls strategy across a plant cluster, including digital manufacturing roadmaps, capital project execution, budget and benefit tracking, infrastructure lifecycle management, cybersecurity, business continuity, disaster recovery, and stakeholder coordination. The role manages day-to-day automation operations, ensures compliance with company standards, develops technical capabilities, and collaborates with regional and global automation teams.

Design and deliver scalable, secure enterprise applications for banking and credit card platforms. Define solution architectures aligned with business and technology strategies, using Java, Spring Boot, REST APIs, microservices, Angular, application integration, enterprise architecture, and distributed systems. Apply expertise in banking, payment processing, credit card systems, and card lifecycle management.

Deploys and configures software in customer environments, develops API integrations and custom code, troubleshoots application, infrastructure, and cloud issues, automates deployments, maintains documentation, and supports implementations and go-lives. Collaborates with engineering and product teams to improve platform capabilities while providing customer-facing technical support.

The SAP Business Analyst will collaborate with finance, accounting, and operations teams to gather requirements and translate them into system specifications. Responsibilities include supporting SAP Cloud4Banking implementations, analyzing financial data, documenting processes, optimizing workflows, managing integrations and migrations, and coordinating SDLC, Agile, release, dependency, vendor, and stakeholder activities. The role also involves project organization, change management, communication with stakeholders, and mentoring junior team members.

Design, deploy, and support cloud workloads across AWS and GCP, including AI/ML platforms. Build enterprise CI/CD pipelines, automate infrastructure with Ansible and Python, manage configuration and releases, support Docker and Kubernetes environments, troubleshoot complex issues, and operate within compliance-driven frameworks such as FedRAMP and NIST.

Architect data platforms using Snowplow, Segment, mParticle, or similar event-tracking systems. Design Bronze/Silver/Gold medallion architectures, cloud data warehouse pipelines, and real-time analytics solutions using dbt and workflow orchestration. Lead migration and parity validation from legacy analytics tools to in-house platforms, coordinate with UI teams, manage offshore delivery, and communicate technical decisions to enterprise stakeholders. Apply data governance and SSO-based access models in client-facing staff-augmentation environments.

Senior full‑stack developer responsible for building Spring Boot RESTful microservices and Angular frontends, enforcing 100% unit test coverage, implementing BDD with Gherkin, integrating CI/CD pipelines, and owning automation and performance testing (Playwright, JMeter). Mentors juniors and ensures test management with Zephyr Scale.

Plan and execute SharePoint and Microsoft 365 content migrations: analyze legacy collaboration platforms, design migration strategies, use migration tools/scripts, manage permissions/metadata, troubleshoot issues, and coordinate priorities across projects.

Design, develop, and implement ServiceNow GRC solutions. Configure UIs, workflows, security (users/roles/ACLs), build integrations via Integration Hub/REST, manage data imports and update sets, test GRC workflows, produce technical documentation, participate in agile sprints, and provide production support and deployment planning.

Build and maintain ETL/ELT pipelines using Databricks, DBT, and Snowflake to ingest data from Salesforce, Dynamics 365, Coupa, Workday, and Concur. Create reusable data models and deliver curated datasets for AI/ML, implement DBT tests, documentation, lineage, and ensure performance, cost efficiency, and governance compliance while collaborating with data science teams.

Senior DevOps Cloud Engineer to design, automate, deploy, and operate cloud workloads across AWS and GCP. Build and maintain CI/CD pipelines, infrastructure automation, configuration management, and platform operations for AI/ML platforms in compliance-driven environments (FedRAMP/NIST). Support containerized deployments, troubleshoot production issues, and work independently with strong communication skills.