CDI - Site Reliability Engineer (H/F)

Key Responsibilities
As a Site Reliability Engineer within Advanced Analytics (DA3) in the Chief Data & AI Office at Allianz Partners, you will join the platform engineering team to own the reliability and operational health of the central engineering platform.

You will define and maintain service level objectives, drive incident response at the infrastructure layer, and systematically eliminate operational toil through automation.

You will work closely with Platform Engineers, Security Engineers, and incident-response leads to ensure the platform meets its reliability commitments across production workloads spanning AI services, Java APIs, and frontend applications.

Through this role, you will have the main following responsibilities:

• Define, instrument, and maintain SLOs and SLIs for platform components; own error budget tracking and produce regular reliability reports for senior leadership.
• Serve on the on-call rotation as the infrastructure escalation tier; lead incident response for cluster-level, network-level, and storage failures; chair blameless post-incident reviews.
• Implement and operate Kubernetes infrastructure (AKS): cluster lifecycle management, networking, resource quotas, autoscaling configuration, and multi-tenancy patterns across product team namespaces.
• Develop Infrastructure as Code (Terraform) to provision and manage Azure resources with consistency, auditability, and repeatable rollback capability.
• Build and maintain observability infrastructure: Prometheus, Grafana, Azure Monitor, and Application Insights; own alerting rules, dashboards, and distributed tracing coverage across platform components.
• Perform capacity planning and cost-aware resource management: right-size node pools, tune vertical and horizontal pod autoscalers, and identify resource waste across namespaces.
• Identify and eliminate toil: automate repetitive operational tasks through scripting and tooling; measure and track toil reduction over time.
• Maintain platform reliability procedures: rolling upgrades, backup and recovery testing, disaster recovery runbooks, and change freeze coordination.
• Contribute to CI/CD pipelines and GitOps tooling (GitHub Actions, ArgoCD) from a reliability and deployment safety perspective; work with platform engineering on release gates and rollback mechanisms.
• Collaborate with incident-response leads on incident SLA targets and operational procedures; work with Security Engineers on infrastructure hardening and vulnerability remediation.

What You Bring

• 5+ years professional experience in site reliability engineering, DevOps, or platform engineering roles.
• Strong Kubernetes experience: cluster operations, networking (Ingress, network policies), storage, autoscaling, and hands-on troubleshooting across production environments.
• Solid Infrastructure as Code experience with Terraform; familiarity with Bicep or ARM templates is a plus.
• Production experience with Azure cloud services: AKS, ACR, Key Vault, Azure Monitor, Application Insights, Virtual Networks, and Private Endpoints.
• Strong observability experience: Prometheus, Grafana, centralized logging, alerting configuration, and distributed tracing instrumentation.
• Working knowledge of SLO/SLI methodology: error budget principles, reliability target setting, and capacity planning.
• Structured incident management experience: on-call ownership, blameless post-incident review, and runbook authorship.
• Scripting and automation proficiency in Python or bash for toil elimination and operational tooling.
• Strong CI/CD experience: GitHub Actions and ArgoCD or equivalent GitOps tooling.

Ways of Working

• Comfortable in agile, iterative delivery environments with personal ownership and accountability for platform reliability.
• Clear communicator across global, cross-functional stakeholders; able to translate technical reliability metrics into business impact for non-technical audiences.
• Proactive learner with pragmatic adoption of AI-assisted developer tools (e.g., GitHub Copilot, Claude Code) to improve automation coverage and delivery velocity.

Nice to Have

• Kubernetes certifications: CKA or CKAD.
• Experience supporting AI or ML infrastructure workloads: GPU scheduling, model serving platforms, or inference pipeline operations.
• Exposure to chaos engineering practices and fault injection testing.
• FinOps experience: reserved capacity planning, resource right-sizing programs, and cost attribution per team or workload.
• Service mesh experience (Istio, Linkerd) for traffic management and reliability patterns.
• Experience in regulated industries (insurance, finance, healthcare) where auditability, change traceability, and secure-by-default operations are standard practice.

How We Hire
Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier lists, under contract. Any unsolicited submission will not be considered.

What We Offer
Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey. We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs.

All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance.

90377 | Data & AI | Professional | Allianz Partners | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.

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About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role
As a
Site Reliability Engineer (SRE)
on the
Cloud Platform
team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers.

This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime.

What You Will Do

• Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform.
• Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling.
• Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance.
• Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging.
• Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence.
• Drive continuous improvement in infrastructure automation, deployment, and orchestration.
• Collaborate with software engineers to enable safe and reproducible model-training experiments.
• Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams.
• Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance.
• Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team.
• Document processes and procedures to ensure consistency and knowledge sharing across the team.

What We're Looking For

• A Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems.
• Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations.
• Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs.
• Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes.
• Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices.
• Solid grasp of networking, security, and system administration concepts.
• Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.
• Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus.

What we offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role
As a
Site Reliability Engineer (SRE)
on the
Platform
team, you will shape the reliability, scalability, and performance of our platform and customer-facing applications. You’ll work closely with software engineers and research teams to ensure our systems meet and exceed the expectations of both internal and external customers.

This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform.

What You Will Do

• Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads.
• Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters.
• Operate systems and troubleshoot issues in production, including interrupts, on-call responses, and infrastructure scaling.
• Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance.
• Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging.
• Participate in on-call rotations to respond to incidents and perform root cause analysis.
• Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform.
• Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments.
• Build a cloud-agnostic platform that abstracts infrastructure complexities for science and engineering teams.
• Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance.
• Work with the security team to ensure infrastructure adheres to best practices and compliance requirements.
• Document processes and procedures to ensure consistency and knowledge sharing across the team.

What We're Looking For

• A Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing and distributed systems.
• Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations.
• Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs.
• Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes.
• Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices.
• Solid grasp of networking, security, and system administration concepts.
• Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.
• Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus.

What we offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.