Senior Full Stack Engineer ID67824

Job Description 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 areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE We are looking for a

Senior Full Stack Engineer

to own production reliability and troubleshooting on a high-scale live hiring events platform serving enterprise clients. You will diagnose and resolve issues across distributed backend systems built on Java, Spring Boot, and Kafka, while collaborating closely with Client Support and GTM teams to maintain SLA compliance. The role demands rapid execution, strong React frontend experience, and the ability to take ownership across multiple concurrent projects.

WHAT YOU WILL DO - Analyze, troubleshoot, and resolve production issues related to live hiring events and platform functionality; - Diagnose problems across distributed systems, integrations, and event workflows; - Collaborate closely with Client Support and GTM teams to triage and resolve support tickets efficiently; - Ensure timely issue resolution in accordance with established SLAs; - Monitor production systems and respond quickly to alerts, incidents, or performance degradation; - Maintain and update event logic as platform dependencies and integrations evolve; - Contribute to architecture improvements, backend reliability, and system scalability initiatives; - Own code merges, deployments, and production changes with minimal supervision; - Support and onboard additional engineers as the team grows; - Provide technical leadership, guidance, and operational support across multiple projects.

MUST HAVES -

5+ years of professional software engineering experience ; - Strong backend development experience with

Java

and

Spring Boot ; - Strong backend development experience with

Python

and

Django ; - Strong frontend experience with

React ; - Experience working with

Kafka ,

GraphQL , and

SQL

and/or

MongoDB ; - Experience with build systems,

CI/CD pipelines , and deployment processes; - Proven ability to ramp up quickly and take ownership of multiple projects simultaneously; - Experience troubleshooting and resolving production issues in live environments; - Experience with at least one of the following:

Dagster ,

Data Lakes , or

Amazon Athena ; - Strong debugging and data-analysis skills for investigating production incidents; - Excellent written and verbal communication skills; - Upper-intermediate English level.

NICE TO HAVES - Product Management experience or close collaboration with GTM and Engineering teams on prioritization initiatives; - Experience with AI-assisted development tools such as

Claude ,

Cursor , or

Windsurf ; - Experience mentoring or leading engineering teams in high-growth environments.

PERKS AND BENEFITS -

Professional growth : Mentorship, TechTalks, and personalized growth roadmaps. -

Competitive compensation : USD-based pay with education, fitness, and team activity budgets. -

Exciting projects : Modern solutions with Fortune 500 and top product companies. -

Flextime : Flexible schedule with remote and office options.

Requirements 6+ years of commercial data science experience, operating completely autonomously with no required supervision. Advanced proficiency in Python, R, and SQL. Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools. Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models.