Company Description
Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, our all-in-one platform delivers precise answers about the performance and security of applications, the underlying infrastructure, and the experience of all users to enable organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That's why many of the world's largest organizations trust Dynatrace to modernize and automate cloud operations, release better software faster, and deliver unrivaled digital experiences.
Job Description
Our Business Insights team is looking for a DevOps to enhance our internal process and scale our delivery capabilities. The focus is to embrace the NoOps thinking and assist with knowledge in areas such as delivery, automation, and remediation. Suppose you have a passion for large-scale deployments and an interest in growing your skills around Site Reliability Engineering. In that case, joining our team is the right next step!
Responsibilities include:
* Use your insights into production to translate manual tasks into automated processes.
* Tackle the challenge of capacity planning and being as cost-efficient as possible.
* Coordinate the product release/rollout and refine existing processes with your ideas.
* Automate monitoring and alerting to enhance the efficiency and reliability of our infrastructure.
* Assist in investigating and fixing production incidents.
* Leverage the Dynatrace/Business Insights platform and open it up to our analysts.
* Assist our data scientist in their quest for better insights.
* Maintain and improve the current solutions.
Qualifications
Minimum Requirements:
* Degree in Engineering, Computer Science, Mathematics, or another quantitative field.
* 3+ years of experience with AWS or Azure.
* Solid understanding of CI/CD and DevOps pipelines.
* Highly proficient in Dynatrace's working language of English.
Desired Requirements:
* Experience with Data and MLOps.
* Fond of teamwork, problem-solving, and supporting internal customers.
* Curiosity about working on high-scale systems.
* Experience with Dynatrace (and/or its competitors).
* Fluency in Python.
* Ability to deal with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
Additional Information:
All Insights team members are expected to travel at least 1 to 2 times per year for annual team meetings & events.
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