Job Opportunities API

As a Senior Security Engineer, Development Security & Operations, you will help build the security engineering layer behind MLB’s application delivery and cloud infrastructure. The work spans applications, APIs, cloud platforms, infrastructure-as-code, CI/CD pipelines, and the Agentic SDLC. You will write automation, integrate security tools, and turn security requirements into controls that engineering teams can use in their normal delivery workflows. The role is focused on reducing preventable security issues, improving how findings are detected and routed, and cutting down repetitive remediation work across revenue-critical applications and fan-facing systems. Responsibilities We are looking for a hands-on security engineer who can write code, integrate tools, automate workflows, and turn security requirements into implemented solutions.   The person in this role should be comfortable using AI-assisted workflows to make security review, prioritization, remediation, and operations faster and more reliable, while keeping engineering ownership, approval, and auditability intact. Application & Account Security Support anti-bot, anti-fraud, account-abuse, and application-abuse prevention through application telemetry integration, automation, and coordination with edge/platform teams Build and deploy application and API security controls as code, including HAProxy configuration, WAF and bot-management rules, rate limits, routing controls, and related edge/platform security policy through version-controlled IaC and CI/CD workflows CI/CD Security & Software Supply Chain Collaborate with development and infrastructure teams to integrate security into CI/CD pipelines Build and improve security controls across CI/CD pipelines, source code platforms, artifact repositories, and deployment workflows Integrate security testing such as code scanning, secrets scanning, dependency scanning, container scanning, and infrastructure-as-code scanning into developer workflows Help define findings severity levels, ownership, exception handling, and remediation routing models Partner with engineering and security teams to reduce remediation noise and improve secure delivery practices Infrastructure and Cloud Platform Security Guardrails Build policy-as-code and security guardrails for cloud, infrastructure-as-code, Kubernetes, and platform delivery workflows Help prevent common risks such as public exposure, overly permissive access, weak logging, insecure storage, missing encryption, and unsafe secrets handling Create reusable security patterns, remediation guidance, and developer-friendly feedback for infrastructure and platform teams Partner with cloud and platform teams to improve baseline security across prioritized environments AI-Assisted Security Engineering and Innovation Identify practical opportunities to use AI-assisted workflows across security review, remediation, prioritization, and operational analysis Evaluate and integrate AI-enabled development and security tools where they improve quality, speed, or consistency Build governed AI-assisted workflows that preserve human approval, auditability, secure data handling, and engineering ownership Help define responsible AI usage patterns for DevSecOps and security engineering workflows Collaboration and Operational Support Partner with Product, Development, Cloud Platform, and Security teams to embed security earlier in engineering workflows Drive adoption of secure engineering practices through practical guidance, reusable patterns, and developer-friendly tooling Support threat modeling and security reviews, and provide practical guidance for prioritized applications and platforms Participate in an on-call rotation to respond to escalated security issues and high-risk operational events Qualifications & Skills Bachelor’s or Master’s degree in Computer Scienc