Software Engineer, Associate or VP at BlackRock

Belgrade, Serbia

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, FinTechIndustries

7+ years’ experience in software engineering
Strong technical ability across the full stack: Python, FastAPI, React and Typescript is a plus
Experience with databases like Postgres and Snowflake
Experience of working within cloud provider services – Azure or AWS (preferred) and utilization of infrastructure as code
A data-driven mindset to make development decisions based on robust analyses
Ability to collaborate effectively with designers, engineering and data scientist teams to build our technical solutions
You have driven technical solution design, taking the balance of engineering quality, testing, scalability and security into consideration
A “let’s do it” and “challenge accepted” attitude when faced with less known or challenging tasks, with a willingness to learn new technologies and ways of working
Excellent verbal and written communication and interpersonal skills, with the ability to influence at all organizational levels and bridge technical perspectives
Proficiency in English required; additional languages and prior work experience at a global firm are desirable
People management experience
Experience with AI-related projects/products
Knowledge of Terraform, CI/CD pipelines, and Kubernetes

Develop workflows that seamlessly combine AI/ML with human expertise to accelerate data collection and improve decision-making processes
Prioritize work based on data-driven insights and outcome-based goals in collaboration with stakeholders
Design and implementation of scalable, reliable data pipelines that ingest, process, and deliver high quality data to downstream applications and analytics platforms
Work closely with engineering teams across the business, ensuring the best technical solutions are adopted, and elevate development standards through knowledge sharing and best practices
Collaborate across engineering, product, and data scientist teams to translate business requirements into technical solutions and ensuring our data assets are organized and accessible
Mentor and guide team members, fostering a culture of continuous improvement, innovation, and open communication
Actively participate in technical discussions about new product directions, data modelling, and architectural decisions, ensuring our technology platform remains extensible
Lead an engineering pod using strong leadership and influence skills
Manage of a team of junior and mid-level engineers, supporting their careers and growth