Senior Full-Stack Engineer

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 diagnose and resolve production issues for a high-traffic hiring events product.

MUST HAVES

• 4+ years of professional software engineering experience.
• Java/Spring Boot as the primary skill set, first priority.
• Django/Python as a secondary skill set, second priority.
• React.
• Kafka.
• GraphQL.
• SQL or MongoDB.
• Build and deployment experience.
• Senior-level engineer able to ramp up quickly and assume ownership across multiple projects.
• High level of ownership and autonomy.
• Experience with at least one of the following: Dagster, Data Lakes, or Amazon Athena.

NICE TO HAVES

• Product Manager experience working with GTM teams and engineers to help with prioritization.
• Experience with AI-assisted development tools (e.g., Claude, Cursor, Windsurf).
• Ability to work independently and autonomously.
• Initiative and ownership, taking tasks forward (including merging and deploying code) without requiring close hand-holding.
• Clear and concise communication. Comfort handling ambiguity.
• Prioritization and strategic thinking.
• Using data to troubleshoot production issues.

WHAT YOU WILL DO

• Analyze and resolve production issues, with particular focus on in-progress hiring events.
• Partner closely with client-facing teams to triage and address support tickets.
• Ensure issues are resolved promptly to meet established SLAs.
• Monitor production systems and respond swiftly to alerts or performance degradation ("going red").
• Support architecture changes and system integrations that may impact hiring events.
• Maintain and update event logic in response to changes in dependencies and underlying systems.
• Support and onboard additional team members as further roles are filled, with Lead/Senior-level hires prioritized first to enable this.

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.

Sr. Full-Stack Software Engineer - Remote

Location: Global, Fully Remote

Job Type: Contractor | ~15 hours/week

Schedule: Flexible

We're looking for experienced Full-Stack Software Engineers to support an AI training project focused on software development, debugging, code evaluation, and technical problem-solving.

Key Responsibilities

• Develop and debug front-end and back-end applications.
• Build features, APIs, services, and data models.
• Understand and work across unfamiliar codebases.
• Troubleshoot application, API, database, and integration issues.
• Review and evaluate AI-generated code for correctness, security, performance, and maintainability.
• Translate and adapt software builds between programming languages.

Required Skills

• Python
• React
• JavaScript
• Java
• Node.js
• Rust
• Go
• TypeScript
• Strong full-stack development experience
• Experience with APIs, databases, application architecture, and debugging

Requirements

• 4+ years of experience in Cloud Engineering, with a focus on GCP.
• Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions, Cloud Run, Cloud Load Balancing).
• Experience with GKE, Docker, GKE networking, and Helm.
• Hands-on experience with Azure DevOps for CI/CD pipeline automation.
• Expertise in Terraform for provisioning cloud resources.
• Proficiency in Python, Bash, or PowerShell for automation.
• Knowledge of cloud security principles, IAM, and compliance standards.
• Demonstrated hands-on involvement in at least one real AWS-to-GCP migration — not just multi-cloud familiarity — with the ability to explain what was migrated and what broke.
• Comfortable delivering production-quality code with Claude Code, Cursor, GitHub Copilot, Codex, or comparable AI coding assistants.

Pe