About DBtune

DBtune is an innovative B2B software startup based in the vibrant Malmö, Sweden, a short train ride away from Copenhagen, Lund and Helsingborg. Since our founding in 2020, our dedicated team of engineers and Ph.D. researchers has been on a mission to revolutionize cloud and database management systems using Artificial Intelligence and Machine Learning. 

DBtune's core technology is a fully automated service designed to optimize databases. Our optimizer, based on machine learning, tailors each optimization to the specific customer workload and hardware in use. This approach leads to improved key performance indicators, making the process of database tuning more efficient and scalable across hundreds of instances. We make databases twice as fast, save massive infrastructure costs, and reduce the environmental footprint of data management.

We have garnered support from institutional and angel investors in the EU and the US, along with pre-seed funding from the Knut and Alice Wallenberg Foundation (KAW). With a growing customer base, DBtune is poised to expand its influence even further, scaling our operations to bring AI-driven database optimization to a broader audience. In the last two years we have set up the distribution channel to reach and optimize 10% of the world PostgreSQL databases within a few years. 

Job overview

DBtune is seeking an accomplished software engineer with a strong background in building complex software solutions. As a Tech Lead, Machine Learning and Data Science at DBtune, you will play an integral role in transforming research concepts and ideas to core libraries that powers all the machine learning products, from SaaS platforms to self-hosted solutions. Managing internal research libraries and experimental setups are also part of the role. Working closely with our existing development team, you will be responsible for building the software infrastructure of the DBtune optimizer. Your expertise will drive the creation of a cutting-edge platform hosted on AWS, catering to the needs of our growing customer base. You will report to the CEO.

DBtune encourages employees to attend and represent DBtune at prominent database conferences, sharing expertise and insights on performance engineering and AI-driven database optimization solutions. This role provides a unique platform to contribute to our ongoing mission of revolutionizing cloud and database systems.

Key responsibilities

• Design and build software software data and research libraries that enable various DBtune products. 

• Collaborate with researchers to improve and further develop the internal research processes.

• Design and build the software infrastructure of the database optimization product in collaboration with the development team.

• Help build, mentor and grow a team of passionate deep tech specialists.

• Apply critical thinking in feature development and the product roadmap.

Requirements

• 5+ years of software development experience.

• Strong software architecture skills for machine learning and data driven systems.

• Highly proficient in Python and Python concepts such as Typing, Testing, Generators, Context Managers, Async/Await, and Metaclasses.

• Experience with framework, library and API design. 

• Knowledge of infrastructure as code (e.g., Terraform, Pulumi), CI/CD tools (e.g., GitHub Actions), and testing strategies such as unit, integration, property based, and snapshot.

• Good understanding of container technologies (e.g., Docker).

• A proven history of delivering high-quality work on stringent timelines.

• Excellent problem-solving and troubleshooting skills.

• Oral and written proficiency in English.

Additional merits

• Degree in Computer Science or related field.

• Experience in PostgreSQL. 

• Familiarity with infrastructure monitoring tools (e.g., Prometheus, Grafana, Datadog).

• Experience with other cloud platforms (e.g., Azure, Google Cloud). 

• Previous experience in startups or other fast-paced environments.

Work environment

DBtune fosters a dynamic and collaborative work environment where innovation thrives. As a tight-knit team, we value diversity, embrace differences, and we are constantly committed to creating a culture, where everyone feels safe, valued, respected, and included. In our journey, we emphasize a culture of continuous learning and professional growth. We believe in the power of creativity to transform the industry, and we encourage each team member to bring their unique perspective to the table. Our team is multinational and is located partially on-site in Malmö and partially fully-remote.  

Terms of employment

This is a permanent and full-time position, presenting abundant opportunities for professional growth and development at DBtune. We take pride in offering competitive salaries and a robust Swedish benefits package, ensuring our team's well-being and security. Furthermore, we are committed to investing in our team's continuous learning and skill enhancement. This commitment is exemplified through workshops and conferences, to foster personal and professional growth. In recognition of the importance of work-life balance, we provide flexible work hours.

Location

This in-office position calls for regular attendance at our Malmö headquarters, providing ample opportunities for face-to-face interactions and collaboration with our team of 10. DBtune offers flexibility with a 2-day-a-week in-office policy. We're proud to be a part of the Minc startup incubator, which has hosted companies such as Neo4j, Polar Rose, Hövding, and Debricked.  

For candidates residing in Denmark, our compensation package is crafted to acknowledge the elevated cost of living and ensure an appropriate salary adjustment. Furthermore, the implemented 2-day-a-week office policy offers a flexible and manageable work arrangement, making commuting to the office less burdensome. 

How to apply

Applications must be written in English, compiled into a PDF-file:

1. Résumé/CV.

2. Links to previous work/artifacts such as code samples (e.g., Github, personal site, LinkedIn, direct files, blog posts, etc.).

3. Contact information of at least two professional references. References will be contacted only after the candidate has been informed and following the initial interview stage.

4. Copies of relevant certificates/grades that you wish to be considered.

Join the DBtune team

If you are passionate about AI, machine learning, and creating impactful software solutions, we encourage you to apply! Be part of our journey to transform cloud and database systems and contribute to a more efficient and sustainable future.