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Operations

• Operate and maintain Elastic Stack and Elastic Cloud Enterprise (ECE) clusters in secure, air-gapped environments
• Support the design and development of Elasticsearch and ECE architectures to ensure scalability and reliability
• Perform cluster configuration and updates, including LDAP, TLS, and SMTP integrations
• Manage user and role access, and ensure secure authentication and communication setups
• Develop and maintain Ansible playbooks and AWX configurations to automate infrastructure deployment and updates
• Deploy and manage AWX on Kubernetes, ensuring integrations and configurations are properly implemented
• Create, optimize, and maintain index templates, Logstash pipelines, Beats configurations, and Elastic dashboards for improved observability and data management
• Provide operational support and troubleshooting for Elastic Stack and related components
• Apply Linux system patches and perform general maintenance on virtual machines while ensuring minimal impact on running applications
• Configure networking, logical volumes, and security rules (iptables) to maintain a secure and efficient environment
• Compile and maintain system-level software (e.g., Python, Git) and manage containerization tools
• Write Python scripts to automate recurring operational tasks and improve system efficiency
• Collaborate with internal teams to ensure smooth operations and consistent service availability
• Continuously improve system performance, monitoring, and automation practices to drive operational excellence

Operations Engineer, ELK Stack

Backend Engineer

• Lead the design, development, and integration of input management solutions using Microsoft .NET technologies
• Analyze, optimize, and implement end-to-end document capture and processing workflows
• Collaborate with senior engineers, product owners, and business stakeholders to define technical requirements and development priorities
• Evaluate and integrate capture technologies such as IBM OpenText Capture, Kofax Capture, or ABBYY FlexiCapture
• Identify process improvement opportunities and translate them into actionable development tasks
• Provide technical leadership, mentorship, and guidance to development teams
• Communicate complex technical concepts clearly and effectively across technical and non-technical audiences
• Support agile development practices and contribute to continuous improvement within the engineering organization

Senior Software Engineer – .NET

• Lead and mentor a team of backend developers, ensuring high-quality deliverables and adherence to project standards.
• Design, implement, and deploy microservices using Payara 6 (Jakarta EE), Quarkus, and related frameworks.
• Develop REST APIs and ensure optimized transactional data access and caching mechanisms.
• Drive the migration and refactoring of existing monolithic applications into microservices.
• Manage deployments and operations in AWS, including services such as Fargate, CloudWatch, VPC, Route53, Secrets Manager, Lambda, and RDS.
• Utilize Kubernetes, Docker, ArgoCD, Helm, and GitHub Actions for CI/CD and orchestration.
• Ensure code quality through JUnit, Mockito, and SonarQube, following GitFlow practices.
• Collaborate with multiple teams (front-end, backend, DevOps) and participate in sprint planning and refinement sessions.
• Engage directly with client stakeholders, present solutions, and support decision-making processes.

Lead Software Engineer – Cloud, Java

Cloud Engineer

• Design, deploy, and manage AWS Landing Zone configurations for enterprise clients.
• Implement and maintain IaC using CloudFormation templates.
• Manage CI/CD pipelines with AWS CodePipeline, CodeBuild, and GitLab CI.
• Configure and secure AWS services including S3, IAM, EC2, ECS, Lambda, KMS encryption, and AWS Service Catalog.
• Set up logging, monitoring, and alarms for infrastructure reliability.
• Optimize networking configurations to support hybrid connectivity to on-premises environments.
• Manage storage solutions, including volumes, for performance and scalability.

AWS Cloud Engineer

Artificial Intelligence

• Run workshops with business units to identify and prioritize AI use cases
• Advise stakeholders on AI strategy, adoption, and best practices
• Deliver training sessions, tutorials, and documentation to enable teams to implement AI solutions
• Drive responsible AI adoption, including explainability, fairness, and governance
• Collaborate with technical and business teams to ensure alignment between AI initiatives and organizational goals
• Promote awareness of ethical and regulatory considerations in AI deployments

AI Consultant – Enablement Expert

AI Engineer

• Own the architecture and technical direction of AI platforms, ensuring scalability, security, and reliability.
• Define and enforce MLOps standards using SageMaker Projects, Pipelines, Registry, blue/green and shadow deployments, monitoring, drift detection, and rollback strategies.
• Ensure secure and compliant data access using IAM least privilege, KMS, and Lake Formation sharing patterns.
• Oversee CI/CD pipelines and cloud infrastructure to support AI workloads.
• Collaborate with Product Owners, Data Governance teams, and stakeholders to align platform capabilities with business objectives.
• Drive adoption of best practices for cloud architecture, deployment, and operational excellence.
• Mentor and lead technical teams in agile environments, fostering strong collaboration and technical growth.

AI Platform Tech Lead

• Develop, train, and deploy ML models using AWS SageMaker and other cloud-based frameworks.
• Build and maintain SageMaker Pipelines for end-to-end workflows.
• Design and operate real-time and batch inference environments using SageMaker Endpoints and EKS, including autoscaling, canary testing, and rollback mechanisms.
• Develop retrieval-augmented generation (RAG) and large language model (LLM) pipelines, including retrieval systems, vector stores, prompt management, guardrails, and offline/online evaluation.
• Create modular, reusable AI components for integration into production systems.
• Implement ML governance practices such as versioning, reproducibility, dataset and model documentation, and privacy/export-control compliance.
• Collaborate with data engineering, product, and cloud infrastructure teams to ensure efficient data flow and model integration.

Machine Learning Engineer, AI Engineer – Cloud Focus

• Design and operate cloud infrastructure for AI workloads using EKS, Lambda, and IAM
• Implement CI/CD pipelines, monitoring, and alerting solutions for cloud-based systems
• Optimize cloud costs, performance, and resource allocation
• Build and manage data ingestion and transformation pipelines using Glue, Athena, and Lake Formation
• Manage data schemas, partitions, and cost-control strategies for large-scale datasets
• Develop and maintain infrastructure as code using Terraform or AWS CDK
• Implement GitOps workflows and manage CI/CD pipelines with GitLab
• Ensure security, observability, and compliance across all deployed resources.

Cloud Developer / MLOps Engineer

Data Engineer

• Migrate and transform existing data pipelines into AWS services (e.g., Glue, S3, Redshift, Athena, RDS).
• Develop and maintain Python-based automation and ETL processes using tools such as Pandas, PySpark, and boto3.
• Ensure data quality, consistency, and security throughout the migration and transformation processes.
• Contribute to the design and implementation of an AWS-native architecture for self-service data modeling.
• Integrate and optimize data models in Redshift (DWP2) and Athena for scalable analytics and reporting.
• Collaborate with cross-functional teams, including data architects, developers, and business stakeholders.
• Document solutions and provide handover and validation to business units.
• Support centralized monitoring, governance, and security compliance in line with organizational standards.

Cloud Data Engineer

Operations Engineer, Elastic Stack

DevOps Engineer

• Design, implement, and maintain Elastic Stack and ECE clusters in secure, air-gapped environments.
• Develop automation pipelines using Ansible and AWX for deployment, configuration, and maintenance of core infrastructure components.
• Manage Kubernetes-based installations of AWX, including integration with LDAP and TLS.
• Architect and optimize Elasticsearch clusters, templates, Logstash pipelines, Beats configurations, and dashboards.
• Manage cluster security, user/role access, and system integrations (LDAP, SMTP, TLS).
• Troubleshoot and provide support for Elastic Stack components in production environments.
• Administer Linux systems (CentOS, Ubuntu, SUSE) including patching, configuration, and container virtualization tools.
• Develop automation scripts in Python to streamline system operations.
• Configure networking, logical volumes, and security rules (iptables).
• Support the transition from CentOS 7 to Ubuntu and SUSE Linux distributions.
• Collaborate with development and operations teams to improve workflows through automation and monitoring.
• Drive best practices for infrastructure as code, observability, and secure system administration.

DevOps Engineer, Elastic Stack

Events

• Part-time (25 hours/week) Event Manager taking ownership of planning, execution, and success measurement of events.
• Manage events from trade fairs and sponsorships to executive-level (C-level) meetings.
• Ensure compliance with event process and develop new event concepts and formats.
• Act as project lead for diverse event types and manage external agencies and service providers.
• Drive event success by achieving defined KPIs such as generating new contacts and business opportunities.
• Collaborate closely with marketing (content, digital, operations, press), sales teams, and subject matter experts.
• Integrate events with other marketing disciplines ensuring relevant content and digital support.
• Communicate effectively with stakeholders via internal and external channels.
• Conduct event reporting, gather participant feedback, and analyze outcomes to optimize event impact.
• Role begins with a trial period aiming to transition into long-term collaboration.

German-Speaking Event Manager

• Design and implement data processes and pipelines (e.g., Azure Data Factory, Databricks).
• Develop, version, and maintain data models.
• Build and optimize data models for scalable, high-performance data solutions.
• Work with cloud-based data infrastructures, primarily on Microsoft Azure.
• Design and execute schema and data migrations.
• Optimize ETL performance for large and complex datasets.
• Collaborate with cross-functional teams to ensure smooth data flow, integration, and scalability.
• Enable efficient migration, transformation, and analysis of data to support client needs.

Support Engineer

• LITIT joint venture between NTT DATA and Reiz Tech, delivering IT service and support in the DACH region.
• Role: multilingual Service Desk Agent providing first-line and advanced (1.5-level) IT support.
• Responsibilities: Serve as first point of contact for IT incidents and service requests; provide 1st/1.5-level support; document and follow support processes; deliver customer-oriented service; collaborate with colleagues; participate in on-call rotations; use designated contact center solution.
• Planned start date in January 2026.