Engineering Lead
2 meses atrás
Corteva Agriscience is seeking a highly skilled and experienced Engineering Lead - Observability to join our team. As a key member of our IT organization, you will be responsible for setting and realizing the vision for IT solutions within your portfolio of products, platforms, and services.
Key Responsibilities- Develop and implement a comprehensive Observability strategy aligned with the organization's goals and vision.
- Manage the lifecycle of Observability products and pipeline.
- Identify opportunities for improving Observability processes and tools to enhance overall business efficiency.
- Lead the design, deployment, and maintenance of Corteva's Observability framework.
- Implement best practices for Observability framework, performance optimization, and monitoring.
- Maintain detailed documentation of system configurations, procedures, and troubleshooting guides.
- Implement strategies to drive high levels of adoption and engagement across the organization.
- Identify opportunities for system performance improvements and implement enhancements.
- Seek, embrace, and maintain strategic partnerships with product vendors and suppliers.
- Stay informed about vendor roadmaps and upcoming technologies.
- Establish strong connections between the respective teams within IT.
- Develop and maintain close partnerships with associated functions within Corteva IT.
- Incorporate operational excellence standards into daily operations to continually improve performance.
- Bachelor's degree in computer science, Information Technology, or related field (or equivalent experience).
- 8+ years of experience in deployment of Observability solutions.
- Engineer delivery best practices for Modern Observability solutions including, but not limited to, Grafana, Dynatrace, Data Dog, Cisco Observability, Solarwinds, and Open Telemetry (OTEL), etc.
- Used open standards such as Open Telemetry (OTEL), Open Metrics, and Open Tracing to achieve observability goals.
- Experience in designing, implementing, automating, maintaining and optimizing observability platforms (metrics, events, logging and tracing).
- Expertise and experience in delivering large-scale systems using big data technologies including but not limited to: Enterprise scale Kafka, Splunk, Prometheus, and other Time Series databases.
- Abreast of industry standards and trends related to telemetry and software pipelines.
- Experience rationalizing and implementing monitoring and observability toolchain at enterprise scale.
- Engineering and consulting Observability services around Cloud core resources, cloud networking, IAM, etc.
- Highly proficient in Observability solutions, Cloud architecture, Application architecture, Infrastructure architecture.
- Demonstrated understanding and experience with Terraform, Ansible or equivalent IaC automation tools and technologies.
- Demonstrated knowledge of on-premises and cloud platforms with awareness of multi-platform solutions and capabilities.
- Experience working as an engineer / team member within an agile environment.
- Demonstrated ability to speak to business value of public cloud solutions.
- Demonstrate solid interpersonal skills and ability to collaborate with delivery engineering teams.
- Additional technology areas and experience: Linux, PowerShell, BASH, Cloud platform specific automation tooling, additional scripting languages, additional software development languages, data experience, networking experience.
- Observability solution vendor certifications.
- Excellent problem-solving and troubleshooting skills.
- Ability to communicate technical information effectively to both technical and non-technical stakeholders.
- Excellent product management skills.
- Excellent analytical and critical thinking skills.
- Strong ability to engage with a global team and provide coaching and oversight.
- Strong organizational skills to manage multiple tasks within the constraints of timeline and budget.
- Ability to thrive in a fast-paced environment, learn rapidly and master diverse technologies and techniques.
- ITIL, Agile, PMP certification(s).
- Understanding of SRE principles.
- Operating in an Infrastructure as Product (IaP) environment.
- Experience in strategy, customer service, and internal consulting.
- Proven success in contributing to a collaborative environment.
- Proven ability to work creatively and analytically in a problem-solving environment.
- Engineer additional automation solutions including, but not limited to, Containers, CI/CD pipelines, Kubernetes, Azure DevOps, etc.
- Operate as part of a team leveraging ITIL, Agile, and Scrum methodologies.
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