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GT

Senior Backend Engineer | Feeld

AI Summary
This is a senior backend engineering contract role supporting Feeld's inclusive dating platform. The engineer will investigate complex production issues, build resilient cloud-native services, and improve scalability, reliability, and data integrity. Core technologies include Node.js, TypeScript, NestJS, GraphQL/REST, AWS, DynamoDB, PostgreSQL, SQS, EventBridge, and WebSockets. The role requires substantial independence, strong debugging skills, and close collaboration with product and QA teams in a remote, mobile-first environment.
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Remote from
Europe
Salary
Undisclosed
Department
Software Engineering
Employment
Contract
Experience
Director
Published
Apply before
11 Dec 2026
Listing views
26
Application actions
2
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Opportunity details

About this role.

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of Feeld, GT is looking for a Senior Backend Engineer to help them improve their inclusive dating application.

About the Client

Founded in 2014 as a dating app, Feeld gathered millions of users in one place to create a safer and more inclusive space online for everyone open to experiencing people and relationships in a new way. Their mission is to elevate the human experience of sexuality and relationships and create a world where everyone is more intimately connected to each other and themselves.

The technology stack of the project: Node.js, NestJS, GraphQL/REST, TypeScript, AWS, DynamoDB, PostgreSQL, SQS, EventBridge, WebSockets.

About the Role

Feeld is building an inclusive, human-centered product and is looking for a Senior Backend Engineer to join their remote team on a contract basis.

In this role, you’ll hit the ground running, taking charge of triaging, investigating, and resolving complex backend issues while optimizing systems for scale, reliability, and data integrity. You’ll work in a mobile-first environment where engineers are expected to have a strong understanding of the product and collaborate closely with cross-functional teams.

We’re looking for someone who can step into the team, get up to speed quickly, and contribute to architectural decisions and direction with a high degree of independence.

Responsibilities:

  • develop and deploy scalable and resilient backend systems utilizing NoSQL and event-driven technologies within cloud-first architectures

  • take charge of in-depth investigations across backend systems and provide clear pathways to resolution

  • optimize system performance to ensure reliability and availability

  • develop real-time features using WebSockets

  • collaborate with cross-functional teams, including product management and QA, to deliver high-quality features and enhancements

Essential knowledge, skills & experience:

  • at least 5 years of experience in back-end development using Node.js

  • demonstrated proficiency in backend development, with expertise in creating self-documented APIs using NestJS with GraphQL or REST

  • strong understanding of event-driven architectures and NoSQL data storage

  • strong proficiency in TypeScript

  • hands-on experience with AWS services, including ECS, DynamoDB, SQS, EventBridge, and PostgreSQL

  • hands-on experience building real-time features using WebSockets

  • practical experience with observability and monitoring tools, such as Sentry, DataDog, CloudWatch, and Amplitude

  • experience writing effective and reliable unit and integration tests

  • experience working in a mobile-first company, with an understanding of the product from an engineering perspective

  • full professional proficiency in English

  • experience working in a collaborative environment, as well as being adaptable to different approaches.

Nice-to-have

  • experience with Infrastructure as Code using Terraform

  • experience with specialized services such as Apollo, Firebase Authentication, Stream Chat, Cloudflare, and Snowflake

  • interest or experience in globally distributed systems and scalability

  • interest or experience with ML/AI recommendation engines

  • test-driven mindset with a focus on automation and efficiency

  • familiarity with mobile development using React Native

Interview Steps

  1. GT interview with Recruiter

  2. GT technical interview

  3. Client technical interview

  4. Final interview

  5. Reference check

We go beyond usual perks… By working with us, you will get

  • Health insurance.

  • Wellbeing coverage.

  • Sport coverage.

  • Learning budget.

  • Paid vacations.

  • Paid sick leaves.

  • All public holidays are paid days off.

GT working model

You will work directly with a client through our Extended Team model. We try to do things differently and put our efforts into integrating you as deeply as possible into the client’s team. You work with the same tools and technologies as they do and are managed directly by the client without any intermediary in between. We help you build relationships and create an environment where you genuinely feel like a member of the client’s team. We also encourage trips to a client and joining teambuilding and after-work activities.

Our Extended Team model is focused on long-term projects that last over several years.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe position requires at least five years of Node.js backend experience and ownership of complex investigations in distributed, event-driven systems. It combines production troubleshooting, architecture input, real-time functionality, cloud infrastructure, and cross-functional delivery.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$130,000
US market range (per year)$110k–$160k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation is disclosed. The annual figures are estimated USD market ranges for a senior backend engineer with Node.js, AWS, distributed-systems, and real-time application experience; the yearly cadence is inferred from the senior professional role.

Core skills

Skills and capabilities most closely associated with this opportunity.

Node.jsTypeScriptNestJSGraphQLREST APIsAWSDynamoDBPostgreSQLEvent-driven architectureSQSEventBridgeWebSocketsObservabilityUnit testingIntegration testing
Sample interview questions
How would you investigate an intermittent data-consistency issue across an event-driven backend?

I would first define the affected workflow and correlate request, event, and database identifiers through centralized logs and traces. I would inspect event ordering, retries, idempotency controls, dead-letter queues, and eventual-consistency behavior, then reproduce the failure where possible. The resolution would include a targeted fix, monitoring alerts, and regression tests for the identified failure mode.

How do you design a resilient NestJS API that serves both REST and GraphQL clients?

I separate domain logic from transport-specific controllers and resolvers so that validation, authorization, and business rules are consistently applied. I use clear DTOs and schemas, structured error handling, versioning where appropriate, and observability around latency and error rates. I also protect dependencies with timeouts, retries where safe, and idempotent operations for mutation workflows.

What considerations matter when implementing real-time features with WebSockets at scale?

I consider connection lifecycle management, authentication, authorization by channel, message ordering, back-pressure, and reconnection behavior. For horizontal scaling, I use a shared pub/sub or event backbone so messages can reach users connected to different instances. I also instrument connection counts, delivery failures, latency, and disconnect patterns to identify reliability issues.

Describe how you would improve performance for a backend service using DynamoDB and PostgreSQL.

I would begin with metrics and traces to identify whether latency comes from database access, application processing, or downstream calls. For DynamoDB, I would review access patterns, partition-key distribution, indexes, and capacity behavior; for PostgreSQL, I would examine query plans, indexes, lock contention, and connection pooling. Changes would be benchmarked and released incrementally with monitoring and rollback safeguards.

How do you contribute to architectural decisions while joining an unfamiliar product team?

I first learn the product flows, current architecture, operational constraints, and recurring engineering pain points through documentation, code review, and conversations with stakeholders. I then present options with explicit trade-offs around reliability, delivery speed, cost, and maintainability. I aim to make small, evidence-based improvements early while building alignment before proposing larger changes.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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