Associate, Engineering Excellence
External
Blackrock · Bengaluru, IndiaFull-timeHybrid3w ago
AirflowAPI DesignAWSAzureCI/CDDocker
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Responsibilities
- Data & AI Workflow Engineering
- Accelerate data collection at scale from millions of sources using robust, scalable pipelines
- Design, build, and deploy workflows that combine AI/ML models with human in the loop systems
- Operate as a full stack data engineer , taking projects from problem formulation to production
- Develop APIs and services to expose data and model outputs for downstream consumption
- System Engineering, Reliability & DevOps
- Build and maintain CI/CD pipelines for data and ML services using Azure DevOps or GitHub Actions
- Implement observability (metrics, logs, traces) and reliability features (retries, circuit breakers, graceful degradation)
- Optimize data workflows and infrastructure for performance, scalability, and fault tolerance
- Lead incident response, root cause analysis, and post‑mortems for data and ML systems
- Contribute to infrastructureascode (IaC) for cloud native environments
- Platform & Framework Development
- Elevate development standards through reusable services, frameworks, templates, and documentation
- Champion best practices in code quality, security, and automation
- Collaborate across engineering teams to improve time to value and share internal solutions
- Required Skills & Qualifications
- 4+ years' experience in data engineering, ML, or system/platform engineering
- Strong programming skills in Python / .NET / Java
- Proficiency in SQL and orchestration tools (e.g., Airflow)
- Experience with Docker and Kubernetes on Azure and/or AWS
- Strong CI/CD, Git, and cloud native development experience
- Familiarity with observability tools (Azure Monitor, Prometheus, Grafana)
- Working knowledge of data science libraries (Pandas, NumPy, scikit‑learn)
- Strong understanding of distributed systems, microservices, and API design
- Excellent communication and stakeholder engagement skills
- Bachelor's or master's degree in CS, Data Science, Engineering, or related field
Benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.Our hybrid work modelAbout BlackRockThis mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrockBlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.Health insuranceFlexible schedule
Additional Information
About this role Role Summary We're seeking a dynamic System Engineer to design and deliver intelligent, scalable, and reliable data systems . This hybrid role combines data engineering, AI/ML integration, system reliability, and DevOps to accelerate data collection, enable intelligent workflows, and drive business impact. You'll collaborate across engineering, data analytics, and business teams to build reusable frameworks, reduce time‑to‑value, and uphold engineering excellence.
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