Full Stack Engineer ID67833 at AgileEngine

, Baja California, Mexico -

Full Time

Start Date

Immediate

Expiry Date

29 Aug, 26

Salary

0.0

Posted On

31 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Boot, Python, Django, React, Kafka, GraphQL, SQL, MongoDB, CI/CD, Dagster, Data Lakes, Amazon Athena, Debugging, Data Analysis, English Communication

Industry

Software Development

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 Mid-level Full Stack Engineer to support and evolve a live Hiring Events platform operating in a high-production, real-time environment. You will troubleshoot and resolve production issues across backend systems built on Java, Spring Boot, and Kafka, while maintaining frontend experiences in React and collaborating closely with Client Support and GTM teams. The role requires strong ownership, fast ramp-up, and comfort managing deployments and production releases independently. WHAT YOU WILL DO - Analyze, troubleshoot, and resolve production issues related to live hiring events and platform functionality; - Collaborate closely with Client Support and GTM teams to triage and prioritize support requests; - Monitor production systems and respond quickly to alerts, incidents, and performance degradation; - Ensure issues are resolved within established SLAs while maintaining a high level of client satisfaction; - Support architecture updates, integrations, and dependency changes impacting event functionality; - Maintain and improve backend and frontend systems powering hiring events and lobby experiences; - Take ownership of deployments, code merges, and production releases; - Help lead, mentor, onboard, and support other engineers joining the team; - Use data and logs to investigate and troubleshoot production issues effectively; - Contribute to technical prioritization and strategic decision-making across multiple projects. MUST HAVES - 3+ 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 - Previous Product Manager or cross-functional prioritization experience; - Experience working with GTM and client-facing teams; - Familiarity with AI-assisted development tools such as Claude, Cursor, or Windsurf; - Experience leading teams, coordinating work across engineers, or acting as a technical lead. 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.

Responsibilities

The engineer will troubleshoot and resolve production issues for a live Hiring Events platform across backend and frontend systems. Responsibilities include monitoring system performance, managing deployments, and collaborating with GTM teams to prioritize support requests.