TL;DR

Manager, Software Engineering (Kafka Streams & Event Sourcing): Leading a Platform Data Services team to build and optimize high-throughput backend services for an Exposure Management platform with an accent on architectural designs, technical strategy, and high-level code reviews. Focus on solving complex concurrency and data consistency issues, and defining the execution plan for a scalable and reliable backend.

Location: Hybrid in Columbia, Maryland, USA. Must be legally authorized to work in the US.

Salary: $163,000 - $217,666.67 USD

Company

%hirify_global% is an Exposure Management company helping 44,000 organizations globally understand and reduce cyber risk by providing cybersecurity solutions.

What you will do

Drive the development of high-throughput backend services that calculate the running history of millions of assets and vulnerabilities.
Act as a technical backstop for the team, performing deep code reviews and challenging architectural assumptions.
Lead immediate recruiting efforts to double the team’s size, identifying and onboarding top-tier backend talent.
Collaborate with Product Management and Engineering leadership to define the execution plan for the new Exposure Management backend.
Foster a DevOps culture, ensuring high availability and performance through Infrastructure-as-Code (Terraform) and robust observability (Datadog).
Encourage an environment of positive collaboration, iterative development, and continuous learning within the team.

Requirements

4+ years of experience as an engineering manager in SaaS-based product development.
Strong background in JVM languages (Java, Scala, and/or Kotlin) and JVM internals.
Hands-on experience with event-driven architectures and messaging systems, specifically Apache Kafka or RabbitMQ.
Experience building systems that handle high-volume data ingestion and stateful processing.
Ability to understand and guide complex backend software architecture, including microservices, distributed databases, and fault-tolerant systems.
Proven ability to attract and hire great engineers, focusing on computer science fundamentals.
Experience with AWS cloud services and infrastructure tools like Terraform, Kubernetes, and Datadog.
US work authorization is required.

Nice to have

Previous experience in the cybersecurity space.
Knowledge of best practices related to "Stateful Stream Processing" or "Event Sourcing" patterns.
Experience migrating legacy services to modern, containerized distributed systems.

Culture & Benefits

Partner with talented and passionate people in an environment of belonging, respect, and excellence.
Comprehensive and competitive benefits, including medical, dental, vision, disability, and life insurance.
401(k) retirement savings with company match and an employee stock purchase plan.
Employee referral program, flexible spending accounts, and an Employee Assistance Program (EAP).
Education assistance, parental leave, paid time off (PTO), and company-paid holidays.