Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Hands on coding with Python, AWS Services (like Lambda, Glue, ECS, Lake Formation, SNS, SQS, S3, Step functions etc.), Terraform, Snowflake and Starburst.
- Knowledge of Table Formats like Iceberg and file formats like JSON, Avro, parquet is required.
- Must have hands-on experience in agile methodologies and building pipelines adhering to CI/CD.
- Must have solid understanding of Application Resiliency, Security.
- Hands-on practical experience in system design, object-oriented development using common design patterns, automated testing, and ensuring operational stability.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages like SQL.
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Knowledge of Databricks, Kafka and Kubernetes would be preferable.
- Demonstrable ability to code in one or more languages
- Hand-on Knowledge of ML Ops will be an added advantage.
- Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)