Posted:2 days ago|
Platform:
Work from Office
Full Time
As part of the Siemens DISW SRE organization, this position plays a key role in delivering automated solutions that support best-in-class cloud-based applications. Our team is passionate about automation, reliability, and innovation. Were looking for an engineer who thrives on building scalable systems, automating everything, and is excited about the future of AI in operations. This role supports the Siemens Xcelerator platform and is responsible for driving improvements in availability, resiliency, and reliability through automation and intelligent systems. The ideal candidate will have strong hands-on experience in Python development, RESTful API design and testing, and a growing interest or background in AI technologies. Youll work closely with DISW business units product teams to ensure SLAs are met and help shape the future of AI-driven automation within the SRE space.
Bachelors Degree with at least 3+ years of experience in IT, DevOps, or SRE roles Strong proficiency in Python for scripting, automation, and API development Experience in designing, developing, and testing RESTful APIs Familiarity with automated testing frameworks for APIs (e.g., Pytest, Postman, or similar) Experience with cloud platforms, especially AWS/Azure Familiarity with observability tools (e.g., Datadog, CloudWatch, CloudTrail, Elastic Stack, Grafana or similar) Hands-on experience with Kubernetes and containerized environments Proficiency with Infrastructure as Code tools (e.g., Terraform, CloudFormation, Ansible or similar) Experience with incident management and response Familiarity with issue tracking tools (e.g., ServiceNow, ServiceDesk, Jira or similar) Prior experience in a Site Reliability Engineering or equivalent DevOps role Preferred Qualifications - AI & Future-Focused Development: Understanding of AI Agents and orchestration in cloud-native environments Familiarity with Retrieval-Augmented Generation (RAG) and related frameworks Experience with Python-based AI/ML libraries such as LangChain, Hugging Face, OpenAI, or similar Ability to integrate AI models into automation workflows or observability pipelines Interest in developing intelligent automation solutions using generative AI and LLMs Awareness of ethical AI practices and responsible deployment in production systems
Siemens
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