
Chief Software Architect
3 days ago
We are seeking an experienced Software Engineer to lead the design and delivery of cutting-edge technology products.
- Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- 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.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- Adds to team culture of diversity, equity, inclusion, and respect.
We require a formal training or certification on software engineering concepts and 5+ years of applied experience including DevOps and/or FinOps in a cloud environment.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Proficient in coding in one or more languages.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle.
- 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, artificial intelligence, machine learning, mobile, etc.).
- In-depth knowledge of the financial services industry and their IT systems.
- Very good communication & Presentation skills with an ability to articulate technical matters to a broad audience.
- Practical cloud deployment experience in AWS Cloud services and native data technologies such as AWS EMR, Glu, Lambda, MSK, RDS, Document DB, EC2, EKS etc.
Understanding of database design concepts and data modeling for relational or nonrelational databases will be useful.
- Experience with deploying to public and/or private cloud ideally with multi-cloud experience, ideally Cloud agnostic (Snowflake or another public cloud) and Active/Active across region designs.
- Experience in one or more big data processing frameworks such as Spark, Flink, Storm etc. with stream processing experience using Kafka.
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