Job Description: DevOps Engineer with Database Experience —  AI Startup, DBtune

About DBtune

DBtune is an innovative AI startup based in the vibrant Malmö area, a short train ride away from Copenhagen, Denmark, and Lund and Helsingborg, Sweden. Since our founding in 2020, our dedicated team of engineers and Ph.D. researchers has been on a mission to revolutionize cloud and database 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. By utilizing DBtune, users enhance their databases' performance while significantly reducing cloud costs and environmental impact.

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.

Job Overview

In the role as DevOps Engineer with database experience at DBtune, you will be at the forefront of integration efforts, ensuring seamless deployment of our AI-driven database tuning service. This customer-facing position will see you closely collaborate with our dynamic sales team, actively participating in the integration process. 

Your responsibilities will extend to designing and implementing integration software, utilizing technologies like Kubernetes, Docker, Ansible, and Puppet. This crucial function ensures a smooth assimilation of DBtune into our customers' existing software and hardware environments.

Additionally, you will lead the effort to streamline our internal deployment processes, maintain our cloud-based services for high availability, and implement robust monitoring and alerting systems.

Furthermore, you will work closely with our marketing department and writers to craft compelling use case studies and insightful blogs. These materials will highlight specific aspects of database performance, offering a firsthand look at the impact of DBtune in real-world scenarios.

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. 

In this role, you will be reporting to the Technical Product Manager. 

Key Responsibilities

• Collaborate with clients to understand their unique deployment requirements and provide expert guidance on implementation.

• Designing the integration of DBtune's AI-based database tuning service into customer database environments.

• Collaborate with the development team to create tailored solutions for database optimization.

Requirements

• At least 5 years of experience in DevOps engineering and databases.

• Experience with database performance tuning.

• Proficiency in PostgreSQL.

• Expertise in AWS. 

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Strong scripting and automation skills (e.g., Bash, Python).

• Experience in Linux system administration (e.g., Red Hat, Ubuntu).

• Familiarity with CI/CD tools (e.g., GitHub Actions).

• Experience with infrastructure as code (e.g., Terraform, CloudFormation).

• Excellent problem-solving and troubleshooting skills.

• Oral and written proficiency in English, allowing effective communication within the team and clients.

Additional Merits

• Degree in Computer Science, Engineering, or a related field.

• Proficiency in other database management systems (e.g., MySQL, Oracle, MongoDB).

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

• Knowledge of infrastructure monitoring tools (e.g., Prometheus, Grafana, Datadog).

• Previous experience in a startup or 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 position, presenting abundant opportunities for professional growth and development at DBtune. We take pride in offering 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

We will prioritize candidates who are local to Malmö or the neighboring cities, such as Copenhagen and Lund, and keep a 2-day in-office policy, but will keep an open-minded attitude for applicants in other countries and regions close to the CET timezone. Our team in Malmö is part of the Minc startup incubator, which has hosted companies such as Neo4j, Polar Rose, Hövding, and Debricked.   

How to Apply

Applications must be written in English, compiled into a PDF-file and sent through The Hub by clicking the 'Apply' button. They should contain:

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.