Software Engineer (Python+ Go + Cloud)

at  Splunk

Join us as we pursue our vision to make the world a place where data provides clarity,
elevates discussion, and accelerates progress for 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, customers, having fun and most
importantly, to each other’s success. Learn more about Splunk careers and how you can
become a part of our journey.
Role:
Applications are the lifeblood of organizations. They support the processes that engage
customers, partners, and employees. Effective application management isn’t just a “nice to
have” — it’s critical to the success of your organization.
Our goal in the App Deployment Team is to remove the barriers between data and action,
and provide people with access to informative, predictive, relevant, and actionable data via
the Splunk platform. This team focuses on applications management, which is integral in
the adoption and successful use of Splunk’s platform.
We are looking for an extraordinary Software Engineer to drive the technical direction and
implementation of the Splunk Cloud application management experiences. You thrive in a
dynamic environment and have a proven record of software delivery. This role requires
cross-team collaboration with our product management, user experience, and
documentation teams, as well as technical leaders from other engineering teams.

Responsibilities:

• Lead the design, implementation and delivery of long-term impact software in

accordance with given requirements and existing system architecture

• Maintain existing technology stack and debug and fix issues
• Work closely with product management and architects and the team to build exciting

features, reusable components and products.

• Analyze and optimize back-end code, and pursue simplicity, efficiency, reliability and

performance.

• Use independent judgment to take existing code, understand its function and

change/improve as needed.

• Understand the challenges and trade-offs to be made when building and deploying

new systems to production.

• Lead code reviews of the product, and use your knowledge of customers’

experiences to dedicatedly prevent future problems.

• Follow SDLC process in Agile methodology.

Requirements:

• 2+ years of experience with a BS EE or CS degree, or equivalent training or work

experience.

• Solid knowledge of Python, Go or another modern programming language (most of

our code base is written in Python).

• AWS and Azure experience.
• Working in Kubernetes systems with experience in kubectl and Docker containers.
• Expertise working with thoughtfully designed Restful APIs and influencing API

design choices.

• Experience developing, debugging, and performance tuning highly concurrent

systems.

• Mastery of test-driven development, developing different levels of automated tests,

such as unit tests, functional tests, and integration tests.

• Excellent problem solving, collaboration, and communication skills, both verbal and

written.

What We Offer You:

• A constant stream of new things for you to learn. We’re always expanding into new

areas, bringing in open source projects and contributing back, and exploring new

technologies.

• A set of exceptionally talented and dedicated peers, from engineering and QA to

product management and customer support.

• Growth and mentorship. We believe in growing engineers through ownership and

leadership opportunities. We also believe mentors help both sides of the equation.

• A stable, collaborative and supportive work environment.
• An opportunity to see the positive impact of your work on real customers.

We value diversity at our company. All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, sexual orientation, gender identity,
national origin, or any other applicable legally protected characteristics in the location in
which the candidate is applying
Note:

• Lead the design, implementation and delivery of long-term impact software i