Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Develop python product and provide end to end support, have hands-on-knowledge in python application development, testing and operational stability to help team deliver high-quality products and implement solution adhering to micro services Architecture
Be instrumental in solving technical issues, developing integration elements, building data models, APIs, and open 3rd-party SDKs
Implement and adhere to resiliency patterns
Harness massive amounts of brainpower through our global network of technologists from around the world to tackle big challenges
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced Python coding experience ; Proven experience in application design and development
Proficiency in Python and Django/flask ; Kubernetes or Cloud Foundry ; Automated testing
Good understanding of Rabbit MQ , Celery/Asynchronous APIs ; algorithms & data structure
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
In-depth knowledge of the financial services industry and their IT systems
Practical cloud native experience
Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Preferred qualifications, capabilities, and skills
Basic understanding of NoSQL databases like Cassandra, Elastic Search, Cockroach DB
Good understanding of Micro services architecture
Good understanding of RDMS database
