Engineering

Krakow Office, Poland

- Hybrid Remote

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. Learn more about Splunk careers and how you can become a part of our journey!

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 in building large scale services that seamlessly orchestrate updates and changes to our customer's environments. We have a substantial AWS, GCP, and Kubernetes presence of large-scale traditional and containerized systems. This is an incredible opportunity to apply your existing cloud experience and drive the automation and exciting growth of the Splunk Cloud. If you possess a passion for outstanding technology contribution 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 of automation instrumentation that will greatly impact how our customers successfully use data to improve their businesses performance, scalability, profitability, and market strategies.

Role

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
Develop sophisticated and maintainable code with focus on consistency and following the best practices.
Participate in rotating on-call duties to diagnose and solve production customer issues.
Own features from start to finish; mentor junior engineers

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: Java, Go, Python, C++
Experience in working on distributed systems like databases, distributed file systems, distributed concurrency control, consistency models, CAP theorem is an added plus.
Experience with Kubernetes or containers echo systems building micro services based applications and solutions.
Strong debugging and troubleshooting skills including the use of associated tools
Experience building applications using CI/CD and test automation frameworks
Ability to create design documents to share your ideas/proposals with the team and cross-functional partners.
Experience with REST, grpc or similar communication paradigms
Experience working with public cloud services providers- AWS, GCP, Azure
Operational excellence: you think beyond feature delivery into how your code is serving customers in production
BS, EE, or CS degree; 8 + years related experience (or Masters and 6 + years related experience or PhD and 3+ years experience)

What we offer

A team of incredibly capable and dedicated peers, all the way from engineering to product management and customer support.
A stable, collaborative, and supportive work environment. We work in an open environment, work together to get things done, and adapt to the changing needs for the team. We keep it real by being open and honest.
Balance. We want you to be successful outside of work too. We trust our colleagues to be responsible with their time and commitment, and believe that balance helps cultivate a positive environment.
Fun. We are committed to having every employee want to give it their all, be respectful and a part of the family, and have a smile on their face while doing it.

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.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

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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 an equal employment opportunity employer. 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 Equal Employment Opportunity 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.}

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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. We comply with local, state/territory, and federal regulations to prevent the spread of COVID-19 in the countries in which we operate. Splunk provides reasonable medical, religious, or other legally required accommodations for eligible employees.

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