Associate, Quantitative DevOps Engineer

Job Description Summary For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking. In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm. HarbourVest is an equal opportunity employer. This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed. Job Summary We are seeking a highly skilled Quantitative DevOps Engineer to join our Quantitative Investment Science organization. This role is ideal for a technology professional with a strong passion for data, a [... source excerpt omitted ...] ith quantitative researchers, data and application engineers, vendors, and IT partners. They will develop, deploy, and support robust CI/CD pipelines and cloud-based environments. You will play a critical role in supporting the full application and data lifecycle—from development through production—within our Azure-based Investment Data Analytics Platform. Your contributions will directly enhance development efficiency, system reliability, and operational excellence across the organization. The ideal candidate is someone who: Experience supporting technology applications or digital products using DevOps and process automation methods, preferably in data-focused or research-base [... source excerpt omitted ...] iency with containerization technologies such as Docker or Podman. Strong background in configuration management, security, and operational rigor. Proven track record to support production environments, manage incidents, diagnose sophisticated issues, and coordinate resolution efforts. Demonstrated success delivering results on fast-paced, complicated projects. Excellent verbal and written communication skills, with the ability to engage effectively with technical and non-technical collaborators at all levels. What you will do: Build, implement, and maintain continuous integration and delivery workflows to support automated build, test, approval, and deployment processes acro