LITIT

Full-stack Engineer

• Design, develop, and maintain full-stack applications using Java and Angular.
• Deliver new features and enhancements for enterprise applications following agile methodologies.
• Develop and integrate RESTful APIs and event-driven solutions using Kafka.
• Design, optimize, and maintain PostgreSQL databases and write PL/SQL where required.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Participate in code reviews, technical discussions, and architectural improvements.
• Contribute to CI/CD pipelines and engineering enablement initiatives.
• Support application performance optimization, reliability, and scalability.
• Stay up to date with modern development practices and emerging technologies.

Full Stack Engineer

DevOps Engineer

• Design, implement, and maintain Kubernetes-based platforms.
• Build and improve CI/CD pipelines using ArgoCD and GitOps principles.
• Develop Infrastructure as Code using Terraform.
• Implement observability solutions including monitoring, logging, and alerting.
• Standardize deployment, security, and operational best practices across engineering teams.
• Automate infrastructure provisioning and application deployments.
• Collaborate with development teams to improve system reliability and scalability.
• Support engineering enablement initiatives through reusable platform components.
• Continuously improve platform performance, availability, and resilience.

DevOps / Site Reliability Engineer

Backend Engineer

• Lead the design, development, and delivery of enterprise-grade applications using Java and Angular.
• Drive continuous product development, feature enhancements, and technical improvements across multiple applications.
• Design and implement scalable integrations between internal and external systems.
• Lead application refactoring and modernization initiatives to improve performance, maintainability, and scalability.
• Develop and maintain backend services, APIs, and frontend components.
• Support the implementation of event-driven solutions and messaging-based architectures using Kafka.
• Analyze, troubleshoot, and resolve complex production and application issues.
• Collaborate with architects, product owners, and stakeholders to define technical solutions and roadmaps.
• Mentor development teams, conduct code reviews, and promote engineering best practices.
• Contribute to architectural decisions and ensure alignment with enterprise standards.
• Participate in Agile ceremonies and support the delivery of high-quality software throughout the SDLC.
• Ensure code quality, security, reliability, and performance through testing and continuous improvement practices.

Senior Full-Stack Engineer – Tech Lead, Java/Angular

• Design, develop, and maintain backend services and integration solutions using Java.
• Implement and support REST-based APIs and event-driven integrations using Kafka.
• Contribute to the development of new product modules and enhancements within existing platforms.
• Participate in the integration of enterprise applications and business-critical systems.
• Develop and optimize database components, including SQL and PL/SQL procedures.
• Support SCP Cluster-related development and implementation activities.
• Analyze, troubleshoot, and resolve application and integration issues.
• Collaborate with cross-functional teams to define, develop, and deliver technical solutions.
• Contribute to application modernization initiatives and the adoption of modern technologies.
• Ensure high standards of code quality, performance, and maintainability.

Back-End Engineer, Java

QA Automation Engineer

• Design, implement, and maintain CI/CD pipelines for cloud-based applications and services.
• Develop and manage Infrastructure as Code (IaC) modules to provision and maintain AWS infrastructure.
• Implement and promote GitOps practices and deployment standards across teams.
• Automate infrastructure provisioning, application deployment, and operational processes.
• Define and maintain quality gates to ensure code quality, security, compliance, and release readiness.
• Support cloud-native adoption and modernization initiatives within AWS environments.
• Collaborate with development, architecture, and operations teams to enhance delivery processes and platform capabilities.
• Optimize AWS environments for performance, scalability, reliability, and cost efficiency.
• Implement monitoring, logging, and observability solutions for cloud applications and infrastructure.
• Troubleshoot deployment, infrastructure, and application-related issues in AWS environments.
• Create reusable templates, standards, and best practices to enable self-service capabilities for engineering teams.
• Drive continuous improvement of software delivery, automation, and platform engineering processes.

DevOps Engineer – Enablement & Automation, AWS

Architect

• Support the creation, maintenance, and updating of business process models (BPMN 2.0) and business use cases (UML).
• Document business requirements and prepare results using Confluence and Jira.
• Create and maintain process documentation, overview pages, and functional profiles.
• Assist in preparing workshops, recurring meetings, and stakeholder meetings, including documenting meeting outcomes and minutes.
• Participate in the analysis of business processes and identify opportunities for process optimization.
• Support the preparation of management presentations, decision papers, and status reports.
• Conduct research on market, technology, and industry trends in the Connected Car and automotive sectors.
• Assist in the development of strategy documents, roadmaps, and business cases.
• Perform quality assurance on documentation and maintain project artifacts in accordance with defined modeling and documentation standards.
• Support the project team in coordinating with business departments and following up on open action items.

Junior Business Architecture Consultant, German Speaking

Cloud Engineer

• Design and develop frontend applications using React, Next.js, and Tailwind-based frameworks.
• Implement backend services in Node.js/TypeScript for ETL, ML workflows, and risk insights.
• Architect and maintain REST APIs with secure authentication (OAuth/OIDC, HMAC patterns).
• Ensure security and compliance with IAM/CIAM policies, TLS/KMS encryption, and audit logging.
• Implement CI/CD pipelines using Azure DevOps and GitLab Flow.
• Collaborate in Agile teams, participate in Scrum ceremonies, and contribute to architectural reviews.

Full-Stack Developer, AWS, TypeScript

• Lead the design and delivery of AI enabled cloud solutions on AWS.
• Work with client Project Owners, business stakeholders, architects, and platform teams to understand requirements and define solution direction.
• Translate client needs into technical requirements, user stories, implementation plans, and delivery roadmap.
• Guide engineering teams working with Python, AWS Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, Bedrock, and AWS CDK.
• Design cloud native backend services and integrations between internal systems and external APIs.
• Define secure and scalable patterns for GenAI, LLM integrations, AI agents, and tool based architectures.
• Support technical decision making across architecture, infrastructure, backend services, security, and operations.
• Review designs and implementation to ensure quality, maintainability, security, and scalability.
• Collaborate with product, platform, security, and delivery teams to align solution implementation with project goals.
• Identify technical risks, dependencies, and delivery blockers, then help resolve them.
• Contribute to hands on implementation, troubleshooting, and technical problem solving when required.
• Mentor engineers and support the team in following strong engineering and cloud practices.
• Prepare and lead technical workshops, solution reviews, demos, and client discussions.
• Ensure secure usage of LLMs, including prompt handling, secrets management, logging practices, and prevention of sensitive data exposure.

AI Cloud Tech Lead

AI Engineer

• Design, develop, and deploy AI-powered solutions that support industrial automation, smart manufacturing, and digital transformation initiatives.
• Develop and deploy GenAI applications (chatbots, copilots, RAG systems) using Azure OpenAI and LLMs.
• Build and maintain AI services and APIs on Microsoft Azure.
• Design scalable data pipelines for training and inference workflows.
• Implement and deploy ML models for predictive analytics, anomaly detection, and automation use cases.
• Containerize and deploy AI solutions using Docker and cloud services (AKS, Azure Functions).
• Build and manage vector databases and retrieval systems for enterprise/industrial data.
• Ensure monitoring, versioning, and lifecycle management of AI models (MLOps).
• Collaborate with cross-functional teams to integrate AI into industrial and enterprise systems.
• Stay updated with emerging AI/ML trends, cloud technologies, and DevSecOps advancements.

• Design, implement, and operate scalable, cloud-native data pipelines and platform components on AWS.
• Build and maintain ETL/ELT workflows, data lakes, and data mesh components.
• Develop, optimize, and troubleshoot PySpark-based data processing jobs for large-scale and time-series datasets.
• Design and manage data schemas, tables, permissions, and metadata using AWS Glue Data Catalog and Lake Formation.
• Develop and maintain AWS Glue Jobs for data ingestion, transformation, and orchestration.
• Build and support event-driven architectures leveraging AWS Lambda, SNS, SQS, and Step Functions.
• Integrate internal and external systems through APIs using AWS API Gateway and related services.
• Monitor platform health, performance, and operational metrics using Amazon CloudWatch.
• Ensure efficient, reliable, secure, and cost-effective data processing across the platform.
• Contribute to Infrastructure as Code, CI/CD pipelines, and automated deployment processes.
• Collaborate closely with data platform, analytics, and product teams in an Agile (Scrum) environment.