Senior Software Engineer - App Reliability

When you join Met Life’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments.

In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward.

At Met Life, we seek to make a meaningful impact on the lives of our customers and our communities. Global Technology & Operations group (GTO) is a diverse team of Agile practitioners comprised of engineers, developers, and technology leaders with the freedom to create innovative solutions that address core business challenges. This role is for a software engineer who will design, build, enhance, and support software applications and platforms for US Digital applications.

You’ll work in a collaborative, agile environment and be hands-on with full stack engineering, API and integration development, cloud and Dev Ops practices, production reliability, observability, and AI-enabled engineering tools.

• Design, develop, test, deploy, and maintain full stack software applications across UI, API, data, and integration layers.
• Deliver high-quality, secure, scalable, and maintainable code using modern software engineering practices, including code reviews, automated testing, version control, and CI/CD pipelines.
• Analyze business and technical requirements, translate them into engineering solutions, and partner with product and platform teams to deliver application enhancements.
• Troubleshoot, debug, and resolve complex software defects across applications, API, data, batch, authentication, and integration components.
• Apply site reliability engineering practices to improve application availability, performance, resiliency, observability, monitoring, alerting, incident response, automation, and problem management.
• Participate in production support and incident response activities as an engineering owner, including root cause analysis, corrective actions, and preventive improvements.
• Use AI-enabled engineering and AIOps capabilities to accelerate development, identify incident patterns, analyze trends, automate repetitive tasks, support root cause analysis, and improve operational efficiency.
• Contribute to the integration of AI capabilities into applications, including GenAI APIs, LLM-based tools, agents, and intelligent self-service or support features.
• Collaborate with cross-functional teams to improve system design, reduce technical debt, strengthen operational readiness, and deliver reliable customer-facing digital experiences.
• Perform related duties as assigned or requested.

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related field (or equivalent experience), with 7+ years of experience building and supporting full-stack applications, APIs, integrations, batch processes, data flows, and customer-facing digital platforms.
• Proficiency in one or more programming languages, including Java, Python, C#, JavaScript/Type Script, or similar technologies. Strong knowledge of software engineering practices, including object-oriented design, secure coding, automated testing, code reviews, source control, CI/CD, cloud platforms, Dev Ops methodologies, and/or ITSM tools such as Service Now.
• Experience applying Site Reliability Engineering (SRE) principles and capabilities, including observability, monitoring, alerting, performance analysis, incident response, root cause analysis, reliability improvement, and automation to enhance application stability and operational effectiveness.
• Experience with cloud platforms, Dev Ops practices, container technologies, and application…