Enhance, build, and deliver top-notch technology products in a secure, stable, and scalable way, promoting significant business impact through deep technical expertise and problem-solving methodologies.
Requirements
- Hands-on and proficient in coding in one or more languages eg. Java, Python , C/C++, C
- Hands-on practical experience in system design, application development, testing, and operational stability on AWS, Azure, GCP with focus on services, compute & data technologies
- Experience in large scale data processing, using micro services, API design,Kafka, Redis, MemCached,
- Observability (Datadog, Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages with good overlap of application & DB.
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, bigdata, data platforms). Working knowledge of OLAP & OLTP databases
Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Other
- Formal training or certification in Software Engineering concepts and 5+ years applied experience.
- Adds to the team culture of diversity, opportunity, inclusion, and respect
- Ability to tackle design and functionality problems independently with little to no oversight
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Experience in Data engineering, Databricks, ETL, DataMesh, DataLake
