Backend Senior Lead Software Engineer

Formal training or certification in software engineering concepts with 5+ years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages, such as Java or Python.
In-depth knowledge of software applications and technical processes, with expertise in technical disciplines like cloud, AI, machine learning, or mobile.
Ability to independently tackle design and functionality problems with minimal oversight.
Practical experience with cloud-native technologies.
Background in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Proficiency in coding with Core Java and Spring Boot.
Experience with SQL, Relational Databases (e.g., Oracle), JUnit, and Cucumber.
Experience in developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages.
Solid understanding of the Software Development Life Cycle and agile methodologies, including CI/CD, application resiliency, and security.

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.
Adds to the team culture of diversity, equity, inclusion, and respect.
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.

Experience with Google Cloud, BigQuery, data engineering, Kubernetes, machine learning, and Dataflow.
Familiarity with modern front-end and back-end technologies.
Exposure to cloud technologies.
Proficiency with Terraform.
Experience in debugging containerized applications in Kubernetes.
Ability to scale cloud-based applications to 10x volume.