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Medium due to strong institutional brand and broad technical requirements attracting qualified applicants.
Medium because core engineering skills are transferable but investment-domain experience is preferred.
High due to explicit 12+ years and many mandatory technical, cloud, and GenAI requirements.
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Lead the design, development, testing, and support of enterprise-grade technology solutions end-to-end for complex business capabilities in an Agile environment.
Drive engineering excellence within own team and influence across multiple teams via technical leadership, coaching, and continuous improvement.
Engage deeply in problem framing, root-cause analysis, and maintaining strong relationships with business, IT peers, and vendor partners.
Undergraduate degree in Engineering, Computer Science, or related field.
At least 12 years of relevant experience in software engineering and technology solution delivery.
Proficient with Java, Spring Boot, Angular, AWS Cloud, microservices architecture, Git version control, CI/CD pipelines, Agile methodologies.
Experience with Generative AI tools in SDLC (e.g., GitHub Copilot, OpenAI Codex) and AWS services including EKS, Terraform; Experience with Python, Kafka, Redis, ELK; Experience building AI solutions using LLMs and AWS Bedrock.
Experienced senior engineer capable of providing technical leadership and coaching to teams in an enterprise environment.
Comfortable operating at the intersection of advanced software engineering and evolving business needs, with ability to influence stakeholders and cross-functional teams.
Demonstrated ability to leverage cutting-edge AI tools and cloud technologies for software productivity and innovative solution delivery.