Senior DevOps Engineer

At Bayer were visionaries driven to solve the worlds toughest challenges and striving for a world where Health for all Hunger for none is no longer a dream but a real possibility. Were doing it with energy curiosity and sheer dedication always learning from unique perspectives of those around us expanding our thinking growing our capabilities and redefining impossible. There are so many reasons to join us. If youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference theres only one choice.

Senior DevOps Engineer

POSITION PURPOSE:

The Senior DevOps Engineer leads the design automation and continuous improvement of software delivery cloud operations Data Integration solutions and Agentic AI products and capabilities across the organization. This role is responsible for building and optimizing Data Integration Layer infrastructure as code development platforms Data Integration solutions Agentic AI products and observability practices that enable secure reliable and scalable release processes and addition to hands-on technical ownership the Senior DevOps Engineer provides technical leadership across teams by shaping DevOps strategy defining engineering standards mentoring engineers influencing architecture and platform decisions and aligning delivery practices with business security and operational objectives. Working closely with engineering QA security operations and business stakeholders the Senior DevOps Engineer drives DevOps standards strengthens team capabilities improves deployment efficiency and system resilience and ensures that product development and production environments support high-quality software delivery.

YOUR TASKS AND RESPONSIBILITIES:

• Design implement and maintain scalable reliable and secure infrastructure on cloud platforms (AWS Azure GCP).
• Build manage and optimize cloud infrastructure and platform services using infrastructure as code and automation practices to ensure scalability consistency and repeatability.
• Design implement and maintain distributed data integration pipelines using Apache Kafka or equivalent technology by:
  • Automating deployment configuration and management of Kafka clusters on AWS/Azure
  • Building data ingestion frameworks for databases APIs and streaming sources
  • Troubleshooting distributed systems and pipeline issues
  • Automating infrastructure provisioning configuration management containerization and orchestration using tools such as Terraform Ansible Chef Kubernetes Docker or similar IaC tools
  • Designing implement and continuously improve CI/CD pipelines and release automation to enable secure reliable and efficient software delivery across development test and production environments
  • Collaborating with cross-functional teams to align architecture
• Establish and enhance observability practices including monitoring logging alerting and tracing data flow metrics to improve service reliability performance and operational visibility.
• Embed security compliance and governance controls into pipelines infrastructure and operational processes ensuring solutions are designed with risk mitigation and secure-by-default principles.
• Collaborate closely with software engineers QA platform teams security teams and product stakeholders to streamline deployment workflows improve developer experience and remove delivery bottlenecks.
• Lead root cause analysis incident troubleshooting and post-incident improvements for build deployment and production issues driving preventive actions that reduce operational toil and recurrence.
• Review platform and infrastructure designs to ensure appropriate technology choices resilient architecture efficient resource usage and effective integration across systems and services.
• Define and promote DevOps engineering standards reusable patterns and best practices for automation configuration management release management and environment lifecycle management.
• Support continuous improvement through evaluation of emerging tools cloud capabilities and platform engineering practices recommending and implementing changes that improve speed reliability and cost efficiency.
• Create and maintain technical documentation operational runbooks and deployment standards to support maintainability auditability and knowledge sharing across teams.
• Provide technical leadership mentorship and guidance to engineers and team members helping strengthen DevOps capabilities operational discipline and engineering excellence across the organization.
• Work with business leaders product managers and engineering teams to translate business needs into scalable secure and supportable platform and delivery solutions.

WHO YOU ARE:

• Bachelors degree in Computer Science Information Technology Engineering or a related field or equivalent practical experience.
• 8 years of experience in DevOps Data engineering Cloud infrastructure Data Integration platform or a closely related discipline with demonstrated success supporting enterprise-scale environments.
• Strong hands-on experience designing implementing and maintaining CI/CD pipelines release automation and deployment strategies across multiple environments.
• Proficiency with cloud platforms and respective services such as AWS Azure and Google Cloud including experience with infrastructure provisioning networking identity/access management and operational support.
• Extensive hands-on experience with Apache Kafka in production (administration tuning monitoring).
• Experience with distributed systems and event-driven architecture.
• Deep knowledge of and experience with infrastructure as code and configuration automation tools such as Terraform Ansible or similar technologies.
• Experience with containerization and orchestration technologies such as Docker Kubernetes or equivalent platforms.
• Strong coding front-end development scripting and automation skills using tools and languages such as Bash PowerShell Python Java Go or similar with the ability to eliminate manual operational effort.
• Solid understanding of observability and operational excellence practices including monitoring logging alerting tracing incident response and root cause analysis using tools like Grafana Prometheus ELK.
• Good understanding of security compliance secrets management vulnerability remediation and secure-by-design principles within cloud and DevOps workflows.
• Strong knowledge of software development lifecycle practices version control systems such as Git and Agile delivery methodologies such as Scrum Kanban or SAFe.
• Demonstrated ability to troubleshoot complex platform build deployment and production issues across distributed systems and drive sustainable improvements.
• Ability to evaluate business and technical requirements and translate them into scalable resilient secure and supportable platform solutions.
• Fluent in English both written and spoken.
• Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams and lead through influence.
• Strong leadership mentoring and stakeholder management skills with the ability to guide engineers influence decisions and promote DevOps best practices across teams.
• Strong problem-solving skills and attention to detail.

Ever feel burnt out by bureaucracy Us too. Thats why were changing the way we work- for higher productivity faster innovation and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here

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