Associate, Application Engineer

BlackRock•Atlanta, GA

22h•$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 and Platform Enablement. TDO works at the intersection of business process, technology, and delivery, partnering with operational teams to identify workflow challenges and create pragmatic 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 Business Operations and Client Services functions and their operational needs. The engineer builds production-minded, business-focused solutions, partners with stakeholders to frame problems and define requirements, and owns discrete work from intake through delivery. Solutions should be maintainable, supportable, resilient, and aligned with platform standards and operational risk discipline. BlackRock describes itself as a fiduciary to investors and a provider of financial technology, managing approximately $14 trillion in assets on behalf of investors worldwide. For Atlanta, Georgia, the stated salary range is $120,000–$148,000, with eligibility for an annual discretionary bonus and healthcare, leave, and retirement benefits. The role follows BlackRock’s hybrid work model: employees are currently required to work in the office at least four days per week, with the flexibility to work from home one day per week; some 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 writing 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 (LLMs) 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 question and the answer.
Ability to shift between developer and business analyst mindsets as needed.
Curiosity about emerging technology and automation, with judgment about where they add value.
Collaborative, accountable approach and comfort working across teams and functions.
Excellent verbal and written English communication skills, 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.

Responsibilities

Design, build, and maintain technical solutions addressing workflow inefficiencies and scaling challenges.
Develop tools, automations, data-driven utilities, and AI-enabled solutions that are production-minded and business-focused.
Apply object-oriented programming principles and basic software design patterns, emphasizing readability, maintainability, and correctness.
Partner with business stakeholders to understand current processes, identify gaps or risks, and translate needs into clear technical requirements.
Break ambiguous problems into actionable solution approaches while balancing technical quality and practical delivery constraints.
Validate that delivered solutions address the original business problem and provide measurable benefit.
Own discrete work from intake through delivery, including scoping, prioritization, testing, and rollout.
When appropriate, support project management by clarifying dependencies, timelines, and risks.
Work with internal technology teams and platform partners to align solutions with 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.