
1001 - 5000 employees
Founded 1869
⚽ Sports
📱 Media
🛒 Retail
Sports • Media • Retail
Major League Baseball (MLB) is a professional sports organization that manages the premier baseball league in North America. It oversees team operations, player transactions, broadcast arrangements, and events such as the All-Star Game and World Baseball Classic. MLB facilitates player development with its minor league system and offers products and services like MLB. TV for streaming games. It also engages with fans through various platforms including youth programs and merchandising. MLB is central to baseball's presence in the media, tourism, and retail markets, offering tickets, sports apparel, and other fan experiences.
🕒 April 30
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 1869
⚽ Sports
📱 Media
🛒 Retail
Sports • Media • Retail
Major League Baseball (MLB) is a professional sports organization that manages the premier baseball league in North America. It oversees team operations, player transactions, broadcast arrangements, and events such as the All-Star Game and World Baseball Classic. MLB facilitates player development with its minor league system and offers products and services like MLB. TV for streaming games. It also engages with fans through various platforms including youth programs and merchandising. MLB is central to baseball's presence in the media, tourism, and retail markets, offering tickets, sports apparel, and other fan experiences.
• Own and operate MLB’s edge security platforms (WAF, bot mitigation, CDN), including configuration, tuning, and lifecycle management • Maintain secure, resilient environments using infrastructure-as-code and controlled deployment practices • Continuously refine rules, policies, and thresholds to improve protection and prevent drift • Participate in an on-call rotation for high-severity edge security incidents • Design and manage defenses against automated abuse (e.g., credential stuffing, scraping, ticketing bots, payment fraud) • Analyze telemetry to identify threats, false positives, and attacker behavior • Partner with fraud and payment teams to strengthen early detection and mitigation • Optimize security controls to protect uptime and user experience during high-traffic events • Serve as a subject matter expert during incidents, ensuring mitigations meet latency, conversion, and availability targets • Build and maintain logging, monitoring, dashboards, and alerting across edge and application layers • Integrate telemetry with SIEM tools to improve detection, triage, and auditability. • Track and report on key risk and performance metrics • Drive automation for detection, response, and change management while maintaining human oversight • Establish strong deployment controls, audit trails, and support compliance (e.g., PCI, SOC 2) • Collaborate cross-functionally to enhance edge security strategy, tooling, and execution
• Bachelor’s degree in Computer Science, Cybersecurity, Software Engineering, or a related field, or equivalent practical experience • 5+ years in security, platform, SRE, or infrastructure engineering roles supporting high-scale, internet-facing systems; experience with high-demand consumer platforms such as ticketing, e-commerce, streaming, or live events strongly preferred • Hands-on experience operating and tuning WAF, bot mitigation, rate limiting, CDN security, and related traffic protection controls in production environments • Direct experience with HAProxy Enterprise WAF and bot/security modules, and with CDN including WAF, bot management, rate controls, and telemetry or log streaming • Strong understanding of HTTP/S, TLS, DNS, TCP/IP, reverse proxying, caching, rate limiting, server- and client-side fingerprinting, and edge traffic behavior • Experience investigating web abuse, fraud signals, or adversarial automation affecting login, checkout, account, or transaction flows • Proficiency with Python, Go, Bash, or similar scripting languages, and experience with Terraform, Ansible, Git-based workflows, CI/CD pipelines, or other infrastructure-as-code practices • Experience with observability, logging, and SIEM integration for security and operational telemetry • Strong troubleshooting skills across distributed systems, production incidents, and customer-impacting edge events • Strong written and verbal communication skills, with the ability to work effectively across technical and non-technical teams.
• Competitive Benefits Package • Company 401K Contribution • Paid Time Off and Holidays • Paid Parental Leave • Access to Free Tickets to Baseball Games & MLB.TV • Discounts at MLB Store | MLBShop.com • Employee Assistance Programs (EAP) • Onsite/Online Training & Development Programs • Tuition Reimbursement • Disability Benefits (short term and long term) • Life and Accidental Death Insurance • Pet Insurance
Apply Now🕒 April 29
Applied Machine Learning Engineer improving cloud infrastructure and tooling at Buzz Solutions. Collaborating with experienced ML engineers on scalable training and data pipelines.
AWS
Cloud
Docker
DynamoDB
Google Cloud Platform
Kubernetes
Node.js
Postgres
Python
Terraform
🕒 April 29
Platform Network Engineer focused on building Azure cloud networking environments for healthcare. Collaborating with infrastructure teams to ensure a secure and high-performing network foundation.
🇺🇸 United States – Remote
💵 $120k - $135k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🏗️ Platform Engineer
🦅 H1B Visa Sponsor
Ansible
AWS
Azure
Cloud
DNS
Firewalls
Google Cloud Platform
HAProxy
Switching
Terraform
🕒 April 28
Security Engineer at Beghou Consulting focusing on strengthening security practices across technology platforms. Collaborating across teams to enhance automation and visibility.
AWS
Azure
Cloud
🕒 April 27
Technical Consultant at AHEAD, focusing on digital transformation through cloud and automation solutions. Leading design and implementation of enterprise-grade technical solutions for clients with a focus on collaboration.
AWS
Azure
Cloud
Terraform
🕒 April 27
Senior Software Platform Engineer developing cloud-based AI and data infrastructure at TetraScience. Collaborating with AI and data engineers to optimize production-grade AI workflows.
AWS
Cloud
Docker
Python
TypeScript