Lead Software Engineer

ugs code written by others

• 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

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

• Adds to team culture of diversity, equity, inclusion, and respect

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 stabilit. Proficiency in automation and continuous delivery methods

• Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Demonstrated proficiency in 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

• Practical cloud native experience. Strong JAVA / Python experience. Strong Spring Ecosystem experience - Spring Boot, Sprint Batch, Spring Data Access, Spring MVC etc.

• Should have good knowledge around Relational Database Systems and SQL - Oracle and Postgres . Should have an understanding around fundamental database concepts like Indexes, Partitions, Shards etc.

• Able to build APIs and expose through GraphQL or Rest interfaces.

• Have a good working knowledge around Maven build systems. Able to work in private cloud platforms like Cloud Foundry.

• Knowledge on public cloud platforms like AWS. Able to Design, Develop, Debug and execute different test automation suites(Regression,Sanity,In-sprint Automation test suites)

• Should have Knowledge and working experience on Jenkins, Bitbucket. Able to work in Agile projects

• Should have knowledge and experience on JIRA. Good analytical, Problem solving and communication skills

Preferred qualifications, capabilities, and skills

• Modern Data Stack - Snowflake, Iceberg
• Data Mesh, AI/ML skills
• Knowledge and experience using Kafka is a big plus.