As a Sr. Engineer, you will be a self-starter who is seen as a technical expert in Observability Engineering, responsible for building high performance next generation Observability systems. This will be accomplished with a combination of general application/environment understanding and building new engineering capabilities to improve and enhance existing distributed solutions to solve critical Observability Engineering problems for both cloud and on-premises. You will also participate in a 24x7 on-call rotation and be accountable for all aspects of IT Service Delivery, including incident, problem, and change management and ensure adherence to these processes, from coding to scaling applications, performance tuning and post-mortem analysis. Lastly, as the Sr. Engineer, you will drive thought leadership and function as an interim leader in the absence of the Sr. Manager, partnering with SRE and DevOps teams to define and implement observability and monitoring practices during the SDLC. The ideal candidate has deep technical expertise in Python/Java coding, Kubernetes and building cloud Observability Platform solutions.
Collaborate proactively with interdisciplinary teams across the IT department to identify and mitigate unplanned application downtime and engage in thorough root cause analysis post-outage, improving system designs for automated troubleshooting
What’s needed to succeed (Minimum Qualifications):
- Bachelor's degree in computer science, information technology, or relevant field
- 4+ years in an IT organization with experience in Observability and Monitoring solutions
- 4+ years of experience with Service Management for cloud in a medium to large IT organization
- Experience with distributed storage technologies such as EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), RDS (Relational Database Service), VPC (Virtual Private Cloud), Lambda, and CloudFormation
- Proficiency with dynamic resource management frameworks (Kubernetes, Yarn)
- Experience with AWS networking services like VPC, Route 53, and CloudFront, with understanding of cloud concepts like IaaS, PaaS, and SaaS
- Strong knowledge of Dynatrace APM (Application Performance Monitoring), including setup, configuration, and optimization. Familiarity with Dynatrace's AI-driven analytics capabilities, and Dynatrace extensions and plugins
- Proficiency with DevOps practices and tools (CI/CD pipelines, Jenkins)
- Ability to code (structured and OOP) using one or more high-level languages, such as Python, Java, C# or JavaScript
- Understanding of API management and integration services like API Gateway, and experience with RESTful and SOAP APIs
- Dynatrace Associate Certification or AWS Certified DevOps Engineer required
- Must be legally authorized to work in the United States for any employer without sponsorship
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
- 3+ years of experience with DevOps in a medium to large IT organization
- 2+ years of proven experience using Dynatrace, DQL and large enterprise experience is a plus
- 1-2 years of experience leading small projects or teams