Jobs at LITIT

The role involves designing and implementing SAP S/4HANA solutions, focusing on warehouse management for manufacturing and automotive sectors. Responsibilities include project planning, managing client relationships, developing functional concepts, and conducting workshops.

The role involves designing and implementing SAP S/4HANA solutions for the manufacturing and automotive industries, leading a consulting team, and managing projects to meet customer requirements.

The Cloud Platform Architect will design and implement scalable cloud-native solutions on AWS, define platform strategies, and lead architecture decisions while collaborating with engineering and DevOps teams for optimal performance and security.

Lead the design and implementation of SAP S/4HANA solutions, build and mentor a consulting team, and ensure project success while managing stakeholder communication.

Develop and maintain cloud-native backend services, APIs, and integrations using Python and cloud tools. Build automated tests, documentation and CI/CD pipelines, support integration testing and defect resolution, and contribute to prompt templates and structured result handling. Work from defined architecture, collaborate with senior engineers, and travel occasionally for project or client needs.

Design and develop the integration layer for an enterprise AI platform: build secure APIs, backend services, and data integrations on Azure; support CI/CD, deployment, monitoring, error handling, auditability, and documentation; implement Codebeamer MCP connector and secure read/write processes.

The DB2 System Specialist/Developer manages, develops, and optimizes DB2 databases on Linux for a major insurance core system, ensuring data availability and performance while collaborating with stakeholders and adhering to security standards.

LITIT encourages talented professionals to submit open applications across various IT fields such as software development, cloud engineering, and cybersecurity.

Design, develop, and deploy AI and Generative AI solutions for industrial automation on Azure. Build RAG systems, vector retrieval, ML models, containerized deployments (AKS, Functions), and MLOps pipelines while collaborating with cross-functional teams to integrate and monitor AI-driven applications.

Design, develop, and maintain cloud-native fullstack applications using AWS serverless technologies and IaC (CDK). Build backend services, REST APIs, and frontend integrations, ensure security (OAuth), CI/CD deployment, troubleshooting, performance optimization, and collaborate with cross-functional teams throughout the SDLC.

Build and maintain Kubernetes-based platforms, GitOps-driven CI/CD with ArgoCD, and Infrastructure as Code with Terraform. Implement observability (Prometheus, Grafana, OpenTelemetry, ELK), automate provisioning and deployments, standardize security and operational best practices, and enable engineering teams to improve reliability, scalability, and platform resilience. Occasional travel may be required.

Develop and maintain backend services and integrations for enterprise-scale applications. Implement REST APIs and event-driven solutions using Kafka, optimize database components with SQL/PLSQL, and support SCP Cluster development. Troubleshoot issues, collaborate with cross-functional teams, and contribute to application modernization and system integration efforts while ensuring code quality and performance.

Lead design and delivery of enterprise-grade Java/Angular applications, mentor teams, implement microservices and Kafka-based integrations, modernize legacy systems, ensure code quality, troubleshoot production issues, and participate in Agile delivery.

Develop and maintain enterprise full-stack applications using Java and Angular. Build RESTful APIs and event-driven solutions with Kafka, optimize PostgreSQL databases, contribute to CI/CD, collaborate in agile teams, write well-tested code, participate in reviews, and support performance, scalability, and engineering best practices.

Drive DevOps enablement and automation for AWS-based enterprise applications: build CI/CD pipelines, develop IaC modules, implement GitOps, container orchestration, monitoring, and security best practices while collaborating with dev and ops teams to optimize cloud environments and platform capabilities.

The Cloud Engineer will develop Python-based backend services, design AWS infrastructure, and enable AI integration, focusing on security and scalability.