DevOps Engineer Signavio + AI (m/f/d)

LOCATION

Hyderabad, IND

COMPANY

BASF Digital Solutions Private Limited

JOB FIELD

Digitalization

JOB TYPE

Permanent

JOB ID

145316

FLEXIBLE WORK OPTIONS

Hybrid

Responsibilities:

• Develop, operate, and continuously improve SAP Signavio workflows, Signavio interfaces to connected platforms and AI-enabled process solutions

• Implement, test, and deploy changes while ensuring stability of productive systems

• Respond to incidents, prioritize work items, and ensure compliance with agreed service level agreements (reaction time, resolution time, availability)

• Support the capture and clarification of customer and business requirements in close collaboration with internal stakeholders

• Support SAP Signavio administration, including platform configuration and user management

• Collaborate with training, process quality assurance, and engineering teams to improve services and operational standards

Requirements:

• Bachelor’s degree with a technical focus from an accredited institution

• Solid DevOps engineering background with minimum 5 years experience in:

• Cloud-native, service-oriented architectures

• Java script

• Python and backend frameworks such as FastAPI

• BPMN 2.0 based process engines

• SAP BTP deployments

• Docker and container-based deployments

• CI/CD pipelines like Azure Pipelines

• Debugging and maintaining distributed systems

• Basic AI engineering knowledge, including:

• Model Context Protocol (MCP)

• Agent frameworks (e.g. Microsoft Agent Framework, LangChain)

• Experience working in agile environments

• Practical experience in business process management and business process modeling using BPMN 2.0

• Strong analytical mindset, structured working style, and high sense of ownership

• Fluent communication skills in English are a must

Nice to have (Education, Additional Qualifications and experience)****:

• Familiarity with LLM-based agent architectures and orchestration patterns

• Exposure to MLOps or AI lifecycle management

• Experience with monitoring, logging, and observability tools in AI-heavy systems

• Ability to work efficiently under pressure and in globally distributed, multicultural teams