This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Backend Engineer, Core APIs based in United Arab Emirates.

Join a fully remote engineering team building technology that helps leading organizations detect and prevent online fraud.

In this role, you’ll design and scale high-performance backend systems responsible for real-time data processing and critical API services.

You’ll work across Go and Node.js to build reliable, scalable infrastructure that supports rapidly growing usage.

The role offers meaningful ownership, from investigating complex technical problems to designing, implementing, testing, and deploying solutions.

You’ll collaborate with globally distributed engineers and cross-functional teams in a highly asynchronous environment.

Your work will directly contribute to the performance, reliability, and scalability of fraud detection capabilities used by major technology companies.

You’ll also have opportunities to mentor teammates, share engineering practices, and influence the evolution of core backend architecture.

Accountabilities

Design, develop, and optimize scalable backend systems supporting real-time data processing and high-performance web services. Build, maintain, and improve APIs, microservices, and backend infrastructure with a strong focus on reliability, scalability, and performance. Develop primarily with Go and/or Node.js while collaborating across services and technologies to deliver robust backend solutions. Partner with cross-functional engineering teams to integrate backend components and ensure systems operate efficiently at scale. Investigate complex or problematic features through technical deep dives, root-cause analysis, hypothesis development, experimentation, and data-driven evaluation. Conduct performance tuning, debugging, testing, and reliability improvements across backend systems. Contribute to a data-driven engineering culture by sharing technical knowledge, best practices, and learnings with colleagues. Take ownership of engineering work from initial concept and investigation through implementation, deployment, and iteration. Participate in a shared on-call rotation, with schedules communicated in advance and coverage balanced across the team. Mentor junior developers and support the technical and professional growth of teammates. Contribute to cross-functional and open-source initiatives where appropriate, working effectively with stakeholders across a globally distributed organization.

Requirements

2+ years of professional backend software development experience, with demonstrated experience building production-grade systems. Strong hands-on experience with Go and/or Node.js, with a willingness to deepen expertise across both technologies. Experience designing, developing, and maintaining scalable backend systems, APIs, real-time data-processing services, and microservice architectures. Strong understanding of SQL and experience working with databases or data stores such as Dynamo DB, Redis, or Elasticsearch. Solid knowledge of software engineering fundamentals and development tools, including Git, IDEs, shell scripting, and CI/CD workflows. Ability to investigate complex technical problems independently, analyze system behavior, form hypotheses, run experiments, and turn findings into practical improvements. Strong communication skills in English, with the ability to collaborate effectively across a globally distributed and asynchronous team. Ability to work independently while contributing constructively to team decisions, technical discussions, and shared engineering goals. Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related discipline is an advantage, though equivalent professional experience is also valued. Experience with infrastructure-as-code tools such as Terraform or AWS Cloud Formation is a plus. Additional experience with Type Script, Express, Click House, dbt, Snowflake, Big Query, Redshift, or Databricks is beneficial. Familiarity with observability and monitoring platforms such as Datadog, as well as modern logging and telemetry practices, is preferred. Knowledge of Docker, Kubernetes, and modern containerization and orchestration technologies is an advantage. Experience contributing to large open-source projects or working asynchronously with globally distributed stakeholders is a plus. Experience with both Go and Node.js in a backend context, as well as knowledge of Internet security and privacy mechanisms, is highly valued.

Benefits

Fully remote work environment with the ability to work from an authorized home location. Opportunity to work on large-scale backend systems and real-time data processing in the online fraud detection and developer technology space. International, distributed team with an asynchronous and collaborative working culture. Exposure to modern backend technologies, distributed systems, APIs, cloud infrastructure, observability, and data platforms. Opportunities for mentorship, knowledge sharing, and continued technical growth. Shared on-call rotation with advance scheduling and an emphasis on equitable coverage and minimizing off-hours disruption. Inclusive workplace that values diverse experiences, perspectives, backgrounds, and contributions. Candidates must be authorized to work from their home location; visa sponsorship is not provided. For US-based employees, the listed cash compensation range is US$130,000–US$180,000; compensation ranges may vary depending on hiring location.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.