About AgileEngine
AgileEngine is an Inc.
5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in application development, AI/ML, and we have earned multiple Best Place to Work awards for our people‑first culture.
Why Join Us
We’re looking for people who want to grow, make an impact, and work with a team that cares.
If that sounds like you, we’d love to meet you!
About the Role
As a Middle Java Engineer, you’ll build and maintain high‑throughput, event‑driven systems that power the world’s largest job platform.
Your work will directly impact millions of users by ensuring reliable, scalable, and efficient data processing pipelines.
This role offers the opportunity to collaborate with a talented global team, tackle complex backend challenges, and grow your expertise in Java, AWS, and modern infrastructure practices.
What You Will Do
- Drive operational excellence by proactively monitoring and optimizing system performance at scale.
- Ensure system stability and reliability by integrating modern testing techniques throughout the development lifecycle.
- Design, implement, and maintain backend services supporting large‑scale event streaming systems using Java and Kafka.
- Establish and maintain SLAs/SLOs, track system health, and build tooling to measure and improve reliability.
- Define and maintain infrastructure using Terraform for reproducible, scalable deployments in AWS.
- Collaborate with engineers and SREs to design event‑driven solutions that meet functional and non‑functional requirements.
- Automate environment provisioning and configuration through GitLab CI/CD pipelines.
MUST HAVES
- At least 3 years of experience with Java.
- Experience with event‑driven architectures handling high‑throughput data streams (Kafka, SQS/SNS).
- Experience with Terraform.
- Hands‑on experience with AWS.
- Proven ability to collaborate across roles and teams to design solutions that meet product requirements.
- Solid understanding of measuring reliability through SLAs/SLOs and fostering a culture driven by operational metrics.
- Upper‑Intermediate English level.
Nice to Haves
- Experience with Rust and/or Golang.
- Familiarity with big data processing technologies (e.g., Apache Spark).
- Experience building change data capture (CDC) pipelines.
- Experience with Kubernetes and ArgoCD.
Perks and Benefits
- Professional Growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive Compensation: USD‑based salary and budgets for education, fitness, and team activities.
- Exciting Projects: Work on modern solutions for Fortune 500 clients and leading product brands.
- Flextime: Flexible schedule with options for remote work and office days to optimize work‑life balance.
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