Jobs at STAFIDE

Lead architecture, design, and development of Java/J2EE applications using Spring Boot and REST APIs. Provide technical guidance, conduct code reviews, resolve performance issues, mentor junior developers, and collaborate with cross-functional teams to deliver scalable, cloud-based microservices solutions.

Design and execute manual and automated test plans, track and manage bugs in Jira, perform regression and performance testing, collaborate with cross-functional teams, and improve QA processes and automation to ensure product quality.

Design and build Python automation for hyperscaler network resources, manage JSON data and CI/CD pipelines, operate Kubernetes, develop UI5 components, enable Elastic/Kibana visualizations, integrate Azure AD security, collaborate cross-functionally, and maintain system documentation.

Design, build, deploy, and support enterprise TIBCO-based integration solutions. Troubleshoot TIBCO processes, manage lifecycle activities, configure Linux/Wintel environments, and contribute to CI/CD and DevOps practices for migration and modernization projects.

Manage and maintain CyberArk Core PAS infrastructure (PVWA, PSM, CPM, PSMP); perform version upgrades and patching; onboard and secure privileged user, application, and service accounts across Windows, Linux, and databases; administer safes, password policies, and session monitoring; troubleshoot L3 issues and collaborate with security, infrastructure, and application teams to maintain compliance.

Lead and coordinate BSS-domain testing: create test strategies and plans, execute functional/integration/regression testing, use automation and tools (Jira/X‑Ray), report results to stakeholders, run test exit meetings, and drive continuous improvement within Agile teams.

Design, develop, and optimize scalable data solutions and pipelines using Azure Databricks, PySpark, Spark, Azure Data Factory, and SQL. Implement CI/CD with Azure DevOps, ensure production performance and reliability, and collaborate across teams to deliver enterprise-grade data engineering solutions.

Design and build scalable, secure cloud-based backend applications using Java and Spring. Develop reusable microservices, leverage SAP HANA and SQL for performant data access, collaborate with cross-functional teams through the full SDLC, and maintain high code quality and reliability in an agile environment.

Design, develop, and maintain Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI, Power Virtual Agents). Integrate with Azure and enterprise systems, ensure scalability, security, and performance, gather requirements with stakeholders, optimize workflows, troubleshoot issues, and follow governance and ALM best practices in agile teams.

Design and architect secure, scalable cloud and hybrid network infrastructures; develop multi-cloud networking strategies; collaborate with DevOps, Cloud Engineering, and Security; automate network workflows; apply container networking and observability tools; document architectures and ensure compliance with security best practices.

Lead IBM ODM Developer to design, build, and deploy business rules using IBM ODM. Translate requirements into executable decision logic, create rule artifacts, integrate via REST/SOAP, manage Decision Center and RES, optimize rule performance, mentor developers, troubleshoot production issues, and support cloud and CI/CD deployments.

Design, implement, and automate secure, scalable Google Cloud Platform environments and Landing Zones using Terraform and GitHub. Support DevOps teams migrating applications, embed FinOps cost controls, ensure security and compliance, and contribute to cloud integration roadmaps and operational transition.

Design, develop, configure, and maintain SailPoint IdentityIQ IAM solutions, including connectors, workflows, rules, and integrations. Troubleshoot and optimize SailPoint components, support provisioning/onboarding/offboarding and RBAC, and collaborate with security, compliance, and IT teams to meet regulatory and organizational requirements.

Lead greenfield enterprise transformations, owning solution lifecycle from design to production. Define architecture standards, ensure DevOps and Agile practices, document technical designs and BPML diagrams, and oversee integrations across internal, external, and third-party systems. Mentor teams, optimize operational costs, and drive scalable, maintainable software delivery.

Design and implement enterprise AI architectures, integrate AI with data and cloud platforms, define governance and best practices, lead cross-functional AI use cases, oversee model deployment/monitoring/optimization, and evaluate emerging AI technologies.

Design, build, and maintain production-grade backend services in Go; extend Kubernetes via CRDs/operators; implement CI/CD and GitOps workflows; manage infra as code with Helm/Kustomize/Terraform; add observability with Prometheus/OpenSearch; troubleshoot distributed systems; participate in Agile ceremonies and contribute to documentation and open-source.

Manage and optimize hybrid Exchange (on-premises and Exchange Online) and Microsoft 365 environments. Support Teams and Outlook, develop Azure automation (Logic Apps, Functions, Automation), ensure M365 security and Azure AD compliance, troubleshoot end-user issues, contribute to intranet and automation projects, document processes, and work within Agile/DevOps practices to drive continuous improvement.

Lead technical delivery of One Identity Manager IAM projects, design and implement integrations with enterprise systems, develop/customize WebUI components and connectors (AngularJS, VB.Net), provide post-production support, troubleshoot complex issues, and mentor junior team members while collaborating with international, cross-functional teams.

Design, develop, and maintain backend applications using .NET Core/.NET Framework. Build and optimize REST APIs, work with SQL Server/PostgreSQL/NoSQL, use Git and CI/CD pipelines, troubleshoot issues, and collaborate with cross-functional teams to deliver scalable, reliable backend solutions.

Lead design and delivery of AI-driven, cloud-native solutions using Python and Azure. Architect scalable, secure systems, integrate ML models, implement CI/CD, containers, and automation, and mentor development teams to ensure high-quality, performant applications.