Interval Group

Operations

• Provide Tier-3 ownership for storage services, including file, block, and object storage (S3-like concepts)
• Ensure operational readiness for all storage-related changes
• Handle complex incidents and perform root cause analysis
• Manage and troubleshoot storage integration within Kubernetes environments
• Reduce operational toil by automating standard tasks
• Validate deployment artifacts and enforce quality assurance measures
• Maintain monitoring and alerting coverage, performance baselines, and hardening strategies
• Implement logging strategies to support audit requirements and perform routine security scans

T3 Operations Specialist – Compute & OS

Security Engineer

• Tier-3 Network & Security Ownership: Resolve complex connectivity and security-related incidents, driving root cause analysis (RCA) and remediation across the network and security stack.
• Operational Readiness: Ensure readiness for network/security changes by managing monitoring/alerting, validation steps, rollback strategies, and runbooks.
• Technical Coordination: Collaborate with Kubernetes, Data, and Storage SMEs to resolve cross-domain production issues and application impacts caused by network constraints.
• Automation: Reduce operational toil and improve stability by automating standard operational procedures and remedial processes.
• Compliance Consulting: Advise on operational controls, including logging/monitoring evidence, access enforcement patterns, and vulnerability handling coordination.
• Deployment Validation: Define and enforce quality assurance measures and documentation for deployment artifacts to ensure high-quality service delivery.
• Security Enforcement: Implement logging strategies to support audit requirements and perform routine security scans to remediate vulnerabilities.

T3 Operations Specialist – Network & Security

QA Engineer

• Consult with Product Management and Architecture to ensure the Quality Assurance strategy aligns with the evolving needs of the internal developer platform
• Proactively plan and prioritise tests, ensuring transparent communication of timelines and progress to all stakeholders
• Coordinate specific QA functions, ensuring thorough test execution across all platform components
• Adapt testing strategies and processes to remain compliant with new requirements and industry guidelines
• Orchestrate regression testing to maintain system functionality and manage systematic bug reporting and fix validation
• Balance manual and automated testing efforts while offering detailed insights into methodologies and outcomes

Quality Assurance Project Lead

• Oversee identity workflows including user onboarding, roles, and permission management within cloud platforms
• Ensure the high availability and performance of the on-premises private cloud environment hosting mission-critical applications
• Implement monitoring and logging strategies to support audit requirements, perform routine security scans, and remediate identified vulnerabilities
• Support automated pipelines, validate deployment artifacts, and enforce quality assurance measures for software delivery
• Monitor system health and service availability across multi-tenant environments, ensuring operational stability and responsiveness
• Lead root cause analysis, resolve technical issues within business hours, and execute routine system optimisations and patches
• Address recurring operational issues by automating standard processes following an established software development lifecycle

IAM Operations Engineer

• Ensure high availability of on-premises infrastructure and consult on operation of productive business applications
• Provide expertise for CI/CD pipelines, validate deployment artifacts from an operations perspective
• Monitor system health, performance metrics, and service availability across multi-tenant managed Kubernetes environments
• Identify and resolve technical incidents to minimise service disruption
• Implement monitoring and logging strategies for audit requirements
• Perform routine security scans and remediate vulnerabilities
• Execute routine updates, patches, and system optimisations within the local infrastructure.

mk8s Operations Engineer

AI Engineer

• Design and development of an agent-based AI system
• Implementation of LLM-based workflows with LangChain and LangGraph
• Building and optimizing RAG pipelines
• Integration of Azure AI Services into existing cloud infrastructures
• Infrastructure automation with Terraform
• Close collaboration with business units and cloud architecture teams
• Ensuring scalability, stability, and security of the solution

AI Engineer – GenAI

Data Engineer

• Design and further development of modern data architectures in line with Data Mesh
• Development and optimization of high-performance data pipelines with Spark
• Implementation of data processing workflows using Python and/or Java
• Orchestration of workflows with Airflow
• Collaboration with architecture, DevOps, and business teams
• Ensuring scalability, maintainability, and performance of the platform

Senior Data Engineer

Product Manager

• Translate product strategy into prioritised epics and user stories.
• Own and refine the product backlog to maximise value.
• Consult with engineering teams and product management to define scope and clarify requirements.
• Define clear user stories and acceptance criteria.
• Accept or reject completed work based on defined criteria and adjust priorities as needed.

Product Owner – Cloud-Native Platform

DevOps Engineer

• Lead the strategic direction and lifecycle of a new developer platform for an enterprise, energy client.
• Bridge the gap between high-level programme goals and technical execution.
• Ensure delivery of robust, cloud-native solutions.
• Define and drive the product strategy in close coordination with cross-functional stakeholders.
• Consult across various domains to identify and manage technical dependencies and interfaces.
• Monitor interdependencies and provide comprehensive documentation to support informed, data-driven decision-making.
• Collaborate with platform leads and delivery teams to define and maintain detailed product and release specifications.
• Own and maintain the product backlog, including creation of features, requirements, and user stories within Jira and Confluence.

Product Owner – Cloud Platform, DevSecOps

Data Scientist

• Leitung der Entwicklung fortgeschrittener Personalisierungs- und Empfehlungs-Anwendungsfälle
• Erstellung und Optimierung von Recommendation-Modellen und Algorithmen mittels PySpark und Spark SQL
• Unterstützung bei der Orchestrierung von Empfehlungs-Workflows
• Entwicklung konfigurierbarer, algorithmusbasierter Ansätze
• Zusammenarbeit mit zentralen Teams zur Aufrechterhaltung einer robusten Governance
• Unterstützung bei Integrationsaufgaben im Bereich CRM, CDP und verschiedenen nachgelagerten Aktivierungssystemen
• Enge Zusammenarbeit mit internen Geschäftsbereichen und Erstellung von High-Level-Ergebnissen für die Geschäftsleitung

Data Scientist – Databricks

ServiceNow

• Technical architecture and solution design within the ServiceNow platform in an OT environment.
• Implementation and further development of the ServiceNow OT module.
• Implementation and optimisation of the Common Service Data Model (CSDM), including the OT data model.
• Technical integration of OT systems and monitoring solutions into ServiceNow.
• Integration of Claroty CTD with the ServiceNow OT module via appropriate interfaces.
• Technical configuration and enhancement of OT Visibility, OT Asset Management, and OT Service Management capabilities.
• Advisory support to production and shopfloor stakeholders.
• Ensuring IT/OT security and monitoring integration.

ServiceNow Technical Solution Architect – OT, Manufacturing

• Technical architecture and design within the ServiceNow platform in the OT environment
• Implementation and further development of the ServiceNow OT module
• Implementation and optimization of the Common Service Data Model (CSDM) including the OT Data Model
• Technical integration of OT systems and monitoring solutions into ServiceNow
• Integration of Claroty CTD with the ServiceNow OT module via appropriate interfaces
• Technical configuration and further development of the following functions: OT Visibility, OT Asset Management, OT Service Management
• Advising business units in production and shop floor environments
• Ensuring IT/OT security and monitoring integration
• Consideration and application of the ISA-95 Equipment Model

ServiceNow Technical Solution Architect – OT / Manufacturing

• Technical implementation of software solutions with a strong focus on Artificial Intelligence
• Object-oriented software development primarily in the Java ecosystem, supplemented by Python for implementing AI use cases
• Design and implementation of solutions in the area of LLMs and Generative AI, especially applying prompt engineering and RAG architectures
• Integration of frameworks such as LangChain or comparable technologies to optimize processes
• Processing and structuring of unstructured data sets
• Design and integration of interfaces (REST, OpenAPI) and connection of various services
• Work in modern, container-based cloud environments (Docker, Kubernetes / OpenShift)
• Ensuring the quality, traceability and performance of AI outputs