Lead Software Engineer: (Vice President), Cloud Infrastructure & Platform Engineering (Java, Agentic AI)

Job Responsibilities

• Lead the design, build, and day-to-day operation of cloud platform capabilities and production environments at scale, emphasizing resiliency, security, and reliability
• Build and maintain secure Java (Java 17+) and Spring Boot services, including RESTful APIs, with strong code review and debugging
• Implement Infrastructure-as-Code / Everything-as-Code using Terraform, including secure provisioning and policy controls where applicable
• Enable and support safe release practices (e.g., rolling and blue/green deployments) for high-availability, high-scale services
• Improve operational stability by eliminating recurring issues and automating remediation/runbooks where appropriate
• Apply SRE-aligned practices (SLIs/SLOs, error budgets, incident response) and participate in formal change and incident management processes
• Use observability and APM tooling (e.g., Splunk, Datadog, Dynatrace) to monitor, troubleshoot, and improve production services
• Deliver CI/CD in a “you build it, you own it” culture using Git and enterprise pipelines (e.g., Jules, Spinnaker, or similar)
• Prototype and deliver AI-enabled/agentic workflows (e.g., tool-using agents, orchestration patterns, evaluation and guardrails) and translate stakeholder needs into technical designs
• Mentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirements

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on Java/J2EE development experience, with strong depth in Spring Boot and REST API design
• AWS platform/infrastructure engineering experience, including designing and operating cloud workloads
• Hands-on experience operating Kubernetes in high-availability environments, including deployments and incident troubleshooting
• Strong Infrastructure-as-Code experience with Terraform (modules, state management, secure provisioning practices)
• Production support experience using observability/APM tooling (e.g., Splunk, Datadog, Dynatrace), including root-cause analysis and reliability improvements
• Experience with testing practices and frameworks (e.g., JUnit, Mockito) and performance testing tools (e.g., JMeter/BlazeMeter or equivalent)
• Solid grounding in domain-driven design, microservices patterns, resiliency patterns, and operating services under change/incident management controls
• 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

Preferred Qualifications, Capabilities, And Skills

• Experience with AWS services commonly used in modern platforms (e.g., ELB/ALB, Route 53, API Gateway, Lambda, ECS, managed caching such as Redis)
• Experience implementing policy-as-code and guardrails for cloud/Kubernetes environments
• Experience building platform “golden paths” (templates, paved roads, reusable modules) that accelerate application teams safely
• Experience with secrets management tooling and patterns (e.g., rotation, least privilege, auditability) in regulated environments
• Practical experience building or integrating AI/agentic workflows with measurable evaluation, safety controls, and monitoring in production-like environments
• Operate Kubernetes platforms (preferably Amazon EKS), including cluster operations, upgrades, deployment strategies, networking/ingress, configuration and secrets management, and troubleshooting in high-availability environments