DevOps Engineer

HarbourVest Partners•Boston, MA

9d•Hybrid

About The Position

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, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments. The successful candidate will collaborate with 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-based environments. Demonstrated experience implementing and administering Git-based repositories , including branching and version control standards. Proven expertise in CI/CD pipeline development and deployment automation , including the use of approval gates. Strong scripting capabilities in Bash, Python, and/or PowerShell . Working knowledge of Snowflake and data platform ecosystems. Experience managing cloud infrastructure using infrastructure-as- code methodologies, ideally within Microsoft Azure . Proficiency 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.

Requirements

High energy and collaborative work style
Proficient in using scripting languages to develop quick prototypes and proof-of-concepts
A track record of completed high-intensity, high-complexity projects
Experience with business intelligence tools such as Tableau, Power BI, or equivalent
Skilled in implementing and managing DevOps practices, CI/CD pipelines
6 Years of DevOps experience in cloud based, software delivery.
Experience working within the financial services or investment management industry
Experience supporting technology applications or digital products using DevOps and process automation methods, preferably in data-focused or research-based environments.
Demonstrated experience implementing and administering Git-based repositories , including branching and version control standards.
Proven expertise in CI/CD pipeline development and deployment automation , including the use of approval gates.
Strong scripting capabilities in Bash, Python, and/or PowerShell
Working knowledge of Snowflake and data platform ecosystems.
Experience managing cloud infrastructure using infrastructure-as- code methodologies, ideally within Microsoft Azure
Proficiency 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.

Responsibilities

Build, implement, and maintain continuous integration and delivery workflows to support automated build, test, approval, and deployment processes across development, test, and production environments.
Provide DevOps and process automation expertise to improve the efficiency, scalability, and reliability of data-centric and analytical applications.
Support the ongoing maintenance, stability, and performance of a Microsoft Azure cloud.
Administer and enforce Git-based source control , including branching strategies, versioning standards, and code promotion practices.
Develop and maintain infrastructure-as-code (IaC) solutions for managing cloud storage, compute, and networking resources.
Leverage containerization technologies (Docker or Podman) to standardize application deployments.
Apply strong configuration management and security guidelines, ensuring alignment with enterprise standards.
Provide production support , including issue triage, root cause analysis, prioritization, and coordination with analysts and engineers for timely resolution.
Collaborate closely with data engineers, researchers, product, and platform engineering to support high-complexity, important initiatives.
Contribute to the continuous improvement of DevOps standards, tools, and operational processes.