Engineering Manager

Akamai

17d•Remote

About The Position

Do you love leading and motivating others to deliver successful products? Are you passionate about building compelling developer/user experiences? Join our unique Edge Apps Engineering team Our team is part of the Edge & Application Networking group within our Cloud Technology organization. We help thousands of enterprises around the world manage their websites and secure their transactions over the internet. Our globally distributed network can solve problems at a scale that few others can. You will lead a team of passionate developers driving Certificate workflow initiatives within the Edge Apps working group. Partnering with engineering and product teams, you will foster high ownership and engineering excellence while evolving processes for impactful execution. This role blends people leadership and technical vision, developing talent and identifying emerging technologies to keep the team industry-leading.

Requirements

Have 8 years of relevant experience including 3 years leading engineering teams and a Bachelor's degree in Computer Science
Have 5 years of industry Python and Java development with SQL/NoSQL databases and 3 years of TypeScript experience
Have solid experience in system design fundamentals, distributed systems , Public Key Infrastructure, TLS, and orchestration workflows
Demonstrate proven ability in resolving complex production issues and delivering solutions under pressure
Possess ability to build and use automation tools to improve efficiency and operational excellence

Nice To Haves

Have ACME protocol, Certificate Transparency logs, Kubernetes, Boulder, and Cert-Manager experience preferred
Have hands-on experience building AI agents or integrating LLMs into production pipelines a plus

Responsibilities

Leading a team of 5+ full stack engineers building distributed certificate workflow systems
Owning system design, architecture, and SLOs ensuring scalability, performance, security, and availability
Collaborating with product and program leadership to define roadmaps and delivery timelines
Resolving complex production issues, handling escalations, and coach teams on debugging methodologies
Driving observability strategy implementing automated anomaly detection to identify and remediate system deviations
Building alignment across engineering, product, and operations while maintaining technical velocity and autonomy
Developing high-performing engineers through mentorship, coaching, technical guidance and career development
Pioneering AI automation integrating LLMs into production pipelines for autonomous reasoning and orchestration