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Engineering

Software Engineer, Backend

  • - Hybrid Remote
Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. 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. Come help organizations be their best, while you reach new heights with a team that has your back.

Role Summary

The Software Engineer develops and owns moderately complex features or subsystems, ensuring scalable, high-quality solutions. They break down tasks into sprint-sized work, estimate efforts, and design for testability through automation. Writing clean, reusable code is essential, focusing on modularity and scalability. The engineer participates in design and code reviews, collaborates with Product Managers on user stories, and contributes to product evolution. They also coordinate junior engineers and foster a collaborative environment, enhancing cross-team collaboration and knowledge exchange.

Meet the Products and Technology Team

Want to build security and observability products people love AND work with people as smart (and humble) as you are? Our products and technology team delivers digital resilience at enterprise scale with a self-service Splunk portfolio that offers unified security analytics, full stack observability and real-time visibility of streaming data. Learn more about the team, meet our leaders, and hear from Splunk technologists and engineers at splunk.com/careers/products-and-technology.

What you'll get to do

You will be working on next-generation services related to data ingestion and processing of data in motion within a highly scalable, cloud-native distributed system. This system processes petabytes of data and enables customers to transform, filter, and route data efficiently.

In this role, you will:

  • Develop and own moderate complexity features or subsystems for data ingestion and stream processing services; break down tasks into sprint-sized work with accurate estimates.
  • Design for testability by automating test cases and improving test frameworks, and write high-quality, elegant, reusable code focused on efficiency and maintainability.
  • Contribute to system design and architecture, ensuring modularity, reusability, and scalability; lead design/code reviews as a key contributor.
  • Collaborate with Product Managers to define user stories and acceptance criteria, and work with Senior Engineers on product design and architectural decisions.
  • Coordinate and mentor junior engineers, participating in hiring evaluations, and engage with external teams to drive integrations and enhance cross-team collaboration.
  • Foster a strong team culture, promoting knowledge sharing, continuous learning, and innovation.

Must-have Qualifications

  • 5+ years of related experience with a technical Bachelor's degree or equivalent practical experience. Expertise in two or more programming languages, such as Go or Java.
  • Skilled in developing and working with HTTP APIs (e.g., REST, GraphQL) and test-driven development, including various levels of automated tests (unit, functional, integration, system, performance/load).
  • Proficient in developing/debugging TCP-based protocols, CI/CD tools (Jenkins, GitLab CI, Bitbucket pipeline), and modern version control systems like Git. Experienced with development on Linux or Unix systems.
  • Experience with streaming/messaging frameworks (Flink, Pulsar, Kafka) and large-scale data processing technologies such as Apache Spark. Familiar with distributed systems, edge computing, and network programming.
  • Ability to coordinate with full-stack engineers beyond your team, learn new technologies quickly, and mentor junior team members.

Nice-to-have Qualifications

We’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that: Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.
  • Experience with cloud technologies (AWS, Azure, GCP), ideally with certifications, and container technologies (Docker) and orchestration tools (Kubernetes, Docker Swarm).
  • Experience with streaming processing platforms (e.g., Flink, Storm) and analytics solutions like Splunk.
  • Experience leading or contributing to open source projects and working in direct customer-facing environments.

Splunk is an Equal Opportunity Employer

Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Note:

Splunk's Hiring Practices

Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

We value diversity, equity, and inclusion at Splunk and are committed to equal employment opportunity. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement. If you need assistance or an accommodation to apply or during the hiring process, please let us know by completing our Accommodation Request form.

Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.

Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

Splunk is committed to the health and safety of our employees and customers. Splunk is impacted by the mandates outlined for U.S. Government contractors in President Biden’s Path out of the Pandemic: COVID-19 Action Plan. As a result, Splunk requires U.S. employees, whether assigned to an office or 100% remote, to provide proof of full vaccination, as defined by the CDC. Splunk provides reasonable accommodations for employees who have qualifying medical or religious reasons.

Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to accessiblecareers@splunk.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.

To check on your application click here.

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