About the Role
Core Responsibilities
Requirements to Architecture: Partner directly with business stakeholders to translate functional requirements into technical designs, system architectures, and data flow diagrams without hand-holding.Proof-of-Concept Development: Rapidly prototype solutions to validate feasibility, demonstrate value, and accelerate stakeholder buy-in.Full Stack Development: Own the end-to-end codebase. Backend services, frontend interfaces, APIs, Terraform IaC development, setup and deployment pipelines.Performance Engineering: Design and optimize data-heavy applications that handle large-scale datasets with low latency and high reliability.Enterprise Integration: Build and maintain integrations across enterprise platforms including identity providers, internal APIs, and shared services operating at scale across multiple business lines.AI-Augmented Development: Leverage GenAI-assisted coding tools and agentic frameworks to accelerate development velocity while maintaining code quality and best practices.Agentic AI Design and Orchestration: Architect and build multi-agent systems, designing agent roles, tool integrations, orchestration patterns, and memory strategies using frameworks like Google ADK, LangGraph, or CrewAI to solve complex enterprise workflows autonomously. Required Technical Skills Languages and Frameworks
Python (advanced) — Flask, FastAPIJavaScript/TypeScript — React, Next.js, modern frontend frameworksHTML5, CSS3, Tailwind CSS or equivalent utility-first CSS frameworksRESTful API designCloud and Infrastructure (GCP)
Cloud Run, Cloud FunctionsBigQuery for large-scale analyticsCloud SQL (PostgreSQL)Cloud StorageCloud IAM, VPC, networking fundamentalsGeminiGoogle ADKAPIGEEInfrastructure as Code and DevOps
Terraform for provisioning and managing cloud infrastructureGitLab repositories, branching strategies, and GitLab CI/CD pipelinesContainer orchestration, deployment automation, and environment promotion workflowsData and Performance
Designing high-performance, data-intensive applicationsSQL proficiency across large-scale analytical and transactional databasesData pipeline design and optimizationCaching strategies, async processing, and query tuningAI and GenAI
Strong understanding of LLMs, prompt engineering, and retrieval-augmented generation (RAG)Hands-on experience with agentic AI frameworks — Google Agent Development Kit (ADK), LangGraph, CrewAI, or equivalentMulti-agent orchestration — designing, deploying, and managing systems where multiple specialized agents collaborate to complete complex tasksExperience integrating GenAI capabilities into applications via Vertex AI, OpenAI APIs, or similar platformsProficient in AI-assisted development — actively uses tools like Google Code Assist, Claude Code, or GitHub Copilot as part of their daily workflowStays current with the rapidly evolving AI landscape and can evaluate and adopt new frameworks and patterns as they emergeEnterprise Operations
Active Directory group management and RBAC patternsSSO and Okta integration for federated identityServiceNow — submitting change requests (CRs), service requests, and coordinating approvals to push changes through to productionComfortable navigating enterprise processes and coordinating across cross-functional teams to drive deployments and resolve dependenciesFamiliar with enterprise change management processes, production governance, and release coordination Desired Experience
7+ years of professional hands-on software development experience, with at least 5 years in a full stack capacityDemonstrated history of building and shipping enterprise-grade applications from scratch — not just maintaining existing codebasesExperience working within large financial institutions or similarly regulated industries is a strong plusComfortable operating across organizational boundaries — collaborating with cross-functional teams spanning cloud, networking, DevOps, infrastructure, security, data, and businessTrack record of independently driving technical initiatives from concept through production