Associate, Application Engineer

BlackRock•Atlanta, GA

2d•$120,000 - $148,000•Hybrid

About The Position

The Associate, Application Engineer is part of BlackRock’s Technology & Development Operations (TDO) team within Platform & Ecosystem Engineering. TDO works at the intersection of business process, technology, and delivery, partnering with operational teams to identify workflow challenges and build tools and automations that improve scale, resilience, and efficiency across Business Operations and Client Services. The role designs, develops, and delivers technical solutions to workflow challenges. It requires understanding the functions within Business Operations and Client Services, collaborating with business stakeholders to frame problems and define requirements, and building practical, supportable solutions. The engineer owns discrete work from intake through delivery and helps align solutions with platform standards, risk practices, and operational needs. For Atlanta, Georgia, the stated salary range is USD $120,000–$148,000. Employees are also eligible for an annual discretionary bonus and benefits. BlackRock uses a hybrid work model requiring employees to work at least four days per week in the office, with flexibility to work from home one day per week; some business groups may require more office time.

Requirements

Bachelor’s degree in Computer Science, Engineering, Finance, Information Systems, or a related field, or equivalent practical experience.
3–6 years of experience in a Developer or Business Analyst role.
Proficiency and hands-on experience with Python.
Strong SQL and database knowledge, including the ability to write production-quality scripts, queries, or small applications.
Familiarity with version control such as Git and development workflows such as Azure DevOps.
Exposure to Agile methodologies, including backlogs, sprints, and iterative delivery.
Working knowledge of object-oriented programming concepts and basic software design principles.
Understanding of machine learning models, including large language models and other neural networks.
Interest in the investment management industry and investment products.
Ability to manage projects from inception to completion and deliver on time and within estimates.
Comfort operating in ambiguous problem spaces and helping shape both the problem and the solution.
Ability to switch between developer and business analyst perspectives as needed.
Collaborative, accountable approach and comfort working across teams and functions.
Excellent verbal and written communication skills in English, including the ability to explain sophisticated concepts clearly.

Nice To Haves

Experience developing and implementing AI-based solutions.
Exposure to cloud platforms or AI-enabled tooling, such as Azure-based services, automation frameworks, or LLM-enabled solutions.
Curiosity about emerging technology and automation, with good judgment about where it adds value.

Responsibilities

Design, build, and maintain targeted technical solutions addressing workflow inefficiencies and scaling challenges.
Develop production-minded, business-focused tools, automations, data-driven utilities, and AI-enabled solutions.
Apply object-oriented programming principles and basic software design patterns, emphasizing readability, maintainability, and correctness.
Partner with business stakeholders to understand processes, identify gaps or risks, and translate needs into clear technical requirements.
Break ambiguous problems into actionable solution approaches while balancing technical considerations with practical delivery constraints.
Validate that delivered solutions address the original business problem and provide measurable benefit.
Own discrete pieces of work from intake through delivery, including scoping, prioritization, testing, and rollout.
Where appropriate, manage project activities so dependencies, timelines, and risks are understood.
Work with internal technology teams and platform partners to align solutions with broader platform standards and capabilities.
Document solutions, guide users through changes, and incorporate feedback into iterative improvements.
Help ensure solutions are supportable, resilient, and aligned with risk and operational discipline.