Senior Backend Kotlin Developer

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 Backend Engineer

to design and maintain scalable, secure backend systems that power a high-scale consumer dating platform. You will work with Kotlin and AWS-native services, owning projects end-to-end from architecture to production delivery. The role includes mentoring junior engineers and contributing to technical standards, with AI-assisted development tools integrated into the engineering workflow.

WHAT YOU WILL DO

- Design, implement, and maintain backend systems that are scalable, secure, and reliable, using AWS-native services;

- Drive individual projects from inception to delivery, owning the full software development lifecycle;

- Collaborate with Product Managers, Designers, and other Engineers to ship new features and improvements;

- Apply AI-based development tools and workflows to enhance productivity and code quality;

- Participate in architecture discussions and propose technical solutions that support long-term scalability;

- Support junior engineers through pairing, mentoring, and code reviews;

- Contribute to engineering standards and best practices to maintain a high-quality codebase.

MUST HAVES

- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;

-

5+ years

of professional experience in backend

Kotlin software engineering ;

-

2+ years

working with cloud environments, preferably

AWS , including deployment and monitoring;

- Proven experience using

AI-powered development tools

(e.g., Cursor, Claude, ChatGPT) as part of day-to-day engineering workflows, along with hands-on experience integrating and supporting AI/LLM-powered features or services in production systems;

- Proven ability to run projects autonomously and deliver production-ready systems;

- Exposure to secure API design, distributed systems, and microservices architecture;

- Experience with

CI/CD pipelines

and containerization tools like

Docker or Kubernetes ;

- Familiarity with infrastructure-as-code tools such as

Terraform

and observability platforms such as

Datadog, Prometheus ;

- Excellent communication skills and a collaborative, inclusive mindset;

- Upper-intermediate English level.

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.