Lead Full Stack Software Engineer

KeyBank•Brooklyn, OH

1d•$96,000 - $181,000•Hybrid

About The Position

KeyBank is seeking a Lead Full Stack Software Engineer to help shape its digital banking platform, which supports online and mobile banking experiences for more than 3 million clients. The role combines hands-on software engineering, cloud-native architecture, DevOps, and technical leadership across modern web applications, cloud-based microservices, and enterprise platforms. The engineer will influence architecture, mentor engineers, and build highly available systems at scale while remaining actively involved in coding and delivery. The position is in KeyBank Digital Banking Technology and is hybrid, with two days in the office at 4910 Tiedeman Road, Brooklyn, Ohio. The position is not eligible for employment visa sponsorship for non-U.S. citizens. The role offers a base salary range of $96,000 to $181,000 annually and eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives. Placement in the range may depend on skills, experience, and geographic location. KeyBank notes that its employee workspace approach prioritizes in-office presence while providing flexible options when a role can be effectively performed in a mobile environment.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent experience.
At least 7 years of professional software engineering experience.
At least 3 years in a senior engineer, technical lead, or architecture-focused role.
Strong hands-on experience with Java (Java 17 or later preferred), Spring Boot and the Spring ecosystem, REST API development and microservices, Angular, and TypeScript.
Experience building scalable, enterprise-grade web applications and distributed systems.
Strong understanding of software design patterns, testing, and code quality practices.
Experience with containerized applications using Docker and Kubernetes.
Experience deploying and supporting solutions in a public cloud environment.
Experience creating and maintaining CI/CD pipelines.
Strong understanding of source control and collaborative development practices using Git.
Experience designing scalable, resilient applications.
Ability to lead technical discussions and influence architectural direction.
Strong communication and mentoring skills.
Experience working in Agile product development environments.
Experience using modern AI developer tools such as GitHub Copilot, Gemini, Cursor, Claude Code, or similar solutions.
Ability to evaluate, validate, and secure AI-generated code.

Nice To Haves

Google Cloud Platform (GCP) experience.
Experience with Redis and Kafka.
Experience with Spring Cloud.
Kubernetes platform engineering experience.
Experience with micro-frontend architectures.
Experience in financial services or regulated-industry environments.
Experience with OAuth 2.0, OpenID Connect (OIDC), Passkeys, FIDO2, or modern identity platforms.
Flutter mobile development experience.
GitLab CI/CD experience.
Experience with AI agents, agentic workflows, MCP integrations, LangGraph, AutoGen, or similar frameworks.

Responsibilities

Design, develop, and deliver scalable full-stack solutions across web, API, and microservice architectures.
Build modern user experiences using Angular and TypeScript.
Develop and maintain cloud-native services using Java and Spring Boot.
Partner with Product, UX, and Architecture teams to translate business requirements into technical solutions.
Define API standards and integration patterns using OpenAPI/Swagger.
Deploy and support applications running in Google Cloud Platform (GCP) and Kubernetes (GKE).
Build and enhance CI/CD pipelines to accelerate software delivery while maintaining quality and security.
Implement deployment strategies that minimize downtime and support high availability.
Champion infrastructure automation, monitoring, and operational excellence.
Design solutions emphasizing performance, reliability, and fault tolerance.
Use technologies such as Redis and Kafka to support high-volume, distributed workloads.
Modernize integrations with enterprise systems and core banking platforms.
Promote observability and proactive issue detection.
Lead architectural discussions and technical design reviews.
Mentor engineers through coaching, code reviews, and knowledge sharing.
Establish engineering standards, reusable frameworks, and development best practices.
Evaluate and adopt emerging technologies, including AI-assisted development tools.
Partner with security teams to address vulnerabilities and maintain compliance standards.
Implement modern authentication and authorization patterns.
Ensure applications adhere to enterprise security, privacy, and regulatory requirements.