Software Engineer

at  Splunk

You will join a team that is responsible for developing and operating Splunk’s Kubernetes platform for multiple cloud service providers such as AWS, Azure and GCP. The platform enables service teams to easily build and operate micro services on this platform. You will play a crucial role in ensuring high availability, performance, efficiency, usability, and security of the platform as well as modernizing the platform to keep up with the industry trends.
A little about us. Splunk is the key to enterprise resilience for the 11,000+ organizations that use our Unified Security and Observability Platform. We regularly appear on a lot of “Best Places to Work” lists, and we think it’s because we encourage our Splunkers to bring their whole, authentic selves. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Because when you feel free to be you, it makes it a lot easier for us to be us.
Join us as we pursue our innovative vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, our customers, having fun and most meaningfully, to each other’s success.
Are you passionate about working on critical systems to create tangible customer impact? Would you like the opportunity to work at a growing company that is changing the way that information is used to support business decisions? If this resonates with you, we would love to speak with you.
Our team is a dynamic technology group with a mission to make data accessible, usable and valuable to everyone. If you possess a passion for outstanding technology leadership and embrace the challenge of working on highly scalable systems that handle large volumes of data, this position is for you. We are building state-of-the art capabilities, data processing and search systems, support tools, security frameworks and automation instrumentation that will greatly impact how our customers successfully use data to improve their businesses performance, scalability, profitability, and market strategies.

REQUIREMENTS

Strong fundamentals in software engineering: data structures and algorithms
Coding proficiency in one or more of the following languages with the ability to quickly learn new languages: Go (preferred), C++, Python
Strong fundamentals of Kubernetes and container orchestration platforms
Experience in working on distributed systems like databases, distributed file systems, distributed concurrency control, consistency models, CAP theorem is an added plus.
Strong debugging and troubleshooting skills including the use of associated tools
Experience with developing CI/CD systems, test automation frameworks,
Ability to document your work for the benefit of the team
Knowledge of REST, grpc or similar communication paradigms
Knowledge of public cloud services such as AWS, GCP, Azure
Operational excellence: you think beyond feature delivery into how your code is serving customers in production
Preferred Qualifications
Experience with deploying and managing large-scale OpenShift and Kubernetes environments
Experience with the Kubernetes operator pattern
Experience with helm chart lifecycle management

Participate in the complete software development cycle: Understand requirements, design, develop, test, automate and deploy software
Identify and resolve pre-production system bottlenecks and production issues
Engage in design and code reviews of the product, and enhance your knowledge of customers’ experiences to prevent future problems
Make code maintainable and the product diagnosable and serviceable
Participate in rotating on-call duties to diagnose and solve customer issues.
Own features from start to finish; Mentor junior engineers