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Developer Productivity Engineer

As a Developer Productivity Engineer at QuantCo, you will work together with Data Scientists and Software Engineers to ensure a highly effective development infrastructure. While we value the DevOps slogan “You build it, you run it,” there are parts of our infrastructure that are used by every team. Therefore, we require specialised attention to ensure they run smoothly and need a dedicated resource to take care of them accordingly. As such, we are looking for someone who combines the skills of a Site Reliability Engineer with an in-depth knowledge of Engineering Effectiveness principles. You will establish processes that allows teams to develop software as efficiently as possible, while also ensuring that the fundamental tools for running a productive DevOps culture are in place.

We are looking for team players with an entrepreneurial mindset that bring:

    • Proficiency in software development and packaging in Python
    • In-depth knowledge of software development in Linux and Windows
    • Experience with at least one popular DBMS. Familiarity with MySQL/MariaDB, PostgreSQL, SQL Server/T-SQL, Snowflake, BigQuery is an advantage
    • Expertise in working with containerized applications and respective orchestration services like Kubernetes or Nomad
    • At least a year of experience as a full-time developer
    • Good communication skills to interact with users of the development infrastructure
    • Knowledge of Site Reliability Engineering (SRE) best practices is a plus
    • A sense for automation in the right places
    • Experience in setting up IDEs for Python
    • Adaptability to work effectively in interdisciplinary teams of technical and non-technical individuals with different cultural backgrounds
    • Business proficiency in English. Conversational proficiency in German is an asset but is not required
    • Willingness to travel occasionally

What we offer

You will be part of a smart, supportive and diverse team that embraces different viewpoints and ideas; revels in finding novel solutions for challenging problems; values our clients and user base; and strives to deliver thoughtfully impactful products. You will get to learn from skilled colleagues who respect each other and their contributions. QuantCo employees have developed groundbreaking products for Google, Amazon, McKinsey, BMW, and Tesla; graduated at the top of their classes from Cambridge, ETH, KIT, Harvard, MIT, Oxford, Stanford, and TUM; and won international competitions in Mathematics, Physics, Informatics, and Programming. You will have a unique opportunity to work at a company where outsized impact and influence are still possible. We offer a generous compensation package that includes a base salary, bonus, stock options, and relocation support along with additional location-based benefits.

About QuantCo

At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 160 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.
Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.
We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.
QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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