Java Engineering Lead Analyst

• Collaborate with other engineers to meet engineering goals, deploy new products, enhance processes, and drive the organization towards engineering platforms
• implement solutions and standards and guide engineers to develop robust, scalable, and secure APIs
• develop blueprints for Public Cloud (AWS, GCP, etc) involving cloud-native architecture, ensuring cost-effectiveness, security, optimized performance, and scalability
• identify opportunities and implement improvements on CICD pipelines and observability
• develop and promote codified blueprints and reusable patterns for application development, infrastructure, and security
• mentor and coach engineers on software development best practices, clean code, testing, and operational excellence
• ensure automated metrics and goals
• provide expertise in advanced engineering knowledge and plan assignments involving cross-functional projects
• develop engineering methodologies and standards for program analysis, design, testing, and implementation
• implement AI engineering solutions to support engineer productivity
• utilize advanced knowledge to achieve technology goals
• develop PoV/PoC to quickly pivot problem analysis into scale engineering solutions
• guide sessions with end users to identify system function specifications and incorporate into system design
• influence and negotiate with senior leaders
• assess risk and ensure compliance when business decisions are made.

• 12+ years of relevant experience coding in Java, Java Frameworks, Concurrency, Python, Kotlin, TypeScript
• experience in AWS or GCP, Microservices, Event-Driven, DDD, API (RestFul, GraphQL, Messaging, etc), Secure Design and Coding, Blueprints, Patterns, and Code Standards
• experience in CICD Pipelines and tools such as Harness, Ansible, Tekton, Jenkins, SonarQube, Junit/Cucumber, Observability (e.g: Prometheus, Grafana, Splunk)
• experience in database (e.g: Oracle, Postgres, MongoDB, Redis, Cassandra)
• experience in AI Engineering Solutions (e.g: Copilot, Agentic AI, Devin.ai or similar, LLMs)
• demonstrated Subject Matter Expert (SME) in area(s) of Applications Development and/or proven results of managing large adoption for engineering practices
• experience in Financial Industry – Markets will be considered a plus
• demonstrated leadership, agile project management, risk management, and development skills
• proven record of delivering trainings.

Certification in AWS, GCP, others will be considered a plus.

• Equal opportunity employment
• accessibility accommodations
• global benefits.