Description

o Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms. Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of approved platform capabilities.

o Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools.

o Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.

o Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness. AI Engineering and Intelligent Automation

o Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.

o Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.

o Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.

o Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.

o Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.

o Automate architecture-review feedback and remediation tracking within developer workflows.

· Resilience, Scalability, and Operational Excellence

o Identify and remediate single points of failure, shared-resource risks, scaling bottlenecks, and critical dependency weaknesses.

o Implement timeouts, bounded retries, circuit breakers, bulkheads, idempotency, backpressure, and graceful degradation where appropriate.

o Design and validate high-availability, failover, disaster-recovery, and data-reconciliation capabilities aligned with business requirements.

o Build observability through metrics, structured logs, distributed tracing, dashboards, and actionable alerts.

o Partner with SRE and application teams on load testing, failure testing, incident analysis, and recovery validation.

· Architecture Standards and Platform Governance

o Translate architectural patterns and standards into reusable libraries, reference implementations, automated checks, and engineering guardrails.

o Develop and maintain the infrastructure platform catalog, adoption guidance, and architecture decision records.

o Detect deviations from approved designs and service-level objectives, and help teams prioritize corrective actions.

o Promote consistent API design, secure integration, platform reuse, and measurable production-readiness criteria.

o Share engineering practices through demonstrations, documentation, mentoring, and PEArch Guild sessions.

· Required Qualifications

o Strong hands-on software development experience using Java, Python, C#/.NET, or comparable backend technologies.

o Experience developing user interfaces with React, Angular, TypeScript, or an equivalent modern framework.

o Demonstrated ownership of production applications or platform services, from design through operational support.

o Experience designing APIs, distributed systems, asynchronous integrations, and relational or NoSQL data access.

o Practical experience developing LLM-enabled applications, AI agents, retrieval workflows, or AI-powered automation.

o Experience with containers, Kubernetes or equivalent platforms, CI/CD, and infrastructure/configuration as code.

o Strong understanding of authentication, authorization, secrets management, secure coding, and data protection.

o Ability to diagnose application, database, network, and dependency-related performance or reliability issues.

o Strong collaboration skills and the ability to explain technical decisions and trade-offs to diverse stakeholders.

· Preferred Qualifications

o Experience with Wealth Management, banking, trading, or other high-availability transaction-processing systems.

o Familiarity with API gateways such as Apigee, messaging platforms such as Kafka or MQ, and distributed caching.

o Experience with MCP integrations, agent orchestration, vector search, AI evaluation, and production AI monitoring.

o Knowledge of multi-data-center architecture, disaster recovery, SLOs, and resilience testing.

o Experience building internal developer platforms, service catalogs, policy-as-code, or automated architecture-governance capabilities

Key Skills

Education

Bachelor's degree