Junior Cloud Software Engineer (Cloud & Python), Quality Interfaces - Splunk

Cisco; Kraków; On-site; PLN 120,000 - 180,000; Full time

Job summary

Splunk is seeking a Junior Software Engineer to contribute to development, testing, documentation, and operation of services and internal engineering interfaces that support engineering quality signals.

You will participate in the software development cycle with guidance, write unit tests, and help deploy changes. This role focuses on straightforward business problems via small-to-medium features while learning internal tools and processes.

Qualifications

• Bachelor's degree or equivalent with 2+ years related experience or equivalent practical experience.
• Practical coding experience in Python or Go.
• Fundamentals in data structures, algorithms, debugging, and writing maintainable code.
• Understanding of APIs, HTTP, databases, automated testing, and SDLC.
• Ability to read logs, investigate defects, and troubleshoot with guidance.

Responsibilities

• Develop and maintain services and internal engineering interfaces for quality signals collection and exposure.
• Write tests, documentation, and support deployment readiness across the software lifecycle.
• Participate in design and code reviews, address feedback, and collaborate with team members.

Skills

Python

Go

Data structures

Algorithms

Unit testing

Debugging

Communication

Education

Bachelor's degree or equivalent

Tools

CI/CD

Containers

SQL/NoSQL basics

Git

Job description

Join us as we pursue our innovative vision to make machine data accessible, usable, and valuable to everyone. We are a company filled with passionate people who seek to deliver the best experience for our customers. At Splunk, we are committed to our work, our customers, having fun, and most meaningfully, to each other's success. Are you excited to grow your engineering skills while helping improve software quality at scale? Would you like to contribute to systems, standards, and internal tools that help engineering teams make better decisions about testing, reliability, and release readiness? If this resonates with you, we would love to speak with you. Our Quality Interfaces team is part of the Control Loop organization and focuses on the software development lifecycle across Splunk. The team builds the standards, quality signals, data contracts, and integration surfaces that help Splunk engineering teams understand their quality posture and act on it. Our customers are internal engineering teams, repository owners, engineering managers, platform teams, and release stakeholders who rely on clear and consistent quality data to improve engineering outcomes. We are seeking a Junior Software Engineer to contribute to the development, testing, documentation, and operation of services and internal engineering interfaces that support this mission. This is a great opportunity for someone with solid software engineering fundamentals, practical coding experience, curiosity about developer productivity and quality systems, and a strong willingness to learn how large-scale engineering organizations measure and improve software quality. Participate in the software development cycle with guidance from more experienced engineers: understand requirements, contribute to technical design, implement features, write tests, fix defects, and support deployment readiness. Work on straightforward business and customer problems through small-to-medium features or clearly scoped parts of larger initiatives. Develop and maintain service components, APIs, data collection jobs, validation checks, automation, and internal tools that help collect, normalize, and expose engineering quality signals. Contribute to internal applications and lightweight engineering interfaces that help teams inspect quality data, understand missing signals, and identify practical next steps. Apply user-centered thinking with a focus on simplification, usability, reliability, secure coding practices, and privacy-aware handling of engineering data. Write clean, maintainable code and unit tests with guidance, and execute relevant tests for your changes. Participate in design and code reviews, address review feedback, and learn how to provide constructive review comments on changes from others. Create and update technical documentation used by the team, and contribute to user-facing or operational documentation where relevant. Debug and troubleshoot issues in development, test, pre-production, and production environments with support from the team. Monitor and triage incident reports with guidance, participate in postmortems, and over time support on-call activities as appropriate for the role. Estimate assignments, communicate status clearly, raise blockers early, and collaborate with team members to identify paths forward.

Minimum Qualifications

• Bachelor's degree with 2 years of related experience, Master's degree with 0 years of related experience, or equivalent practical experience.
• Basic knowledge of software engineering theories, principles, and concepts, with exposure to current technologies through coursework, internship, professional work, open-source work, or personal projects.
• Practical coding experience in at least one general-purpose programming language such as Python or Go.
• Good fundamentals in data structures, algorithms, debugging, and writing readable, maintainable code.
• Basic understanding of backend or service development concepts such as APIs, HTTP, databases, data formats, and automated testing.
• Basic understanding of the software development lifecycle and common agile engineering practices, including requirements analysis, design, coding, unit testing, acceptance testing, and iterative delivery.
• Ability to write functional code and unit tests with guidance.
• Ability to read logs, investigate defects, use development tools, and troubleshoot straightforward issues with support from others.
• Good communication and collaboration skills, including the ability to communicate status, blockers, and delays.
• Willingness to learn secure coding practices, reliability practices, and production support expectations.

Preferred Qualifications

• Familiarity with Python or Go.
• Familiarity with backend frameworks, internal tools, data pipelines, or developer-facing systems.
• Basic knowledge of SQL or NoSQL databases.
• Exposure to CI/CD systems, source control systems, test automation frameworks, containers, or cloud-based development environments.
• Interest in engineering quality topics such as test coverage, contract testing, linting, pipeline reliability, release readiness, or software delivery metrics.
• Exposure to secure coding principles, privacy-aware development, reliability testing, incident triage, or production support practices.

What We Offer

• A team of highly capable and dedicated peers across engineering, and platform organizations.
• The opportunity to work on meaningful internal systems that improve engineering quality and software delivery across Splunk.
• A stable, collaborative, and supportive work environment.
• We work in an open environment, collaborate to get things done, and adapt to the team's changing needs.
• We keep it real by being open and honest.
• Growth. You will have the opportunity to learn from experienced engineers, build practical software engineering skills, and gradually take on more ownership as your confidence and experience grow.
• Balance. We want you to be successful outside of work too. We trust our colleagues to b