Senior Backend Go Developer

Unknown; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Unknown is building a global, cloud-native backend platform with Go services on AWS. The role focuses on end-to-end backend development, AI-assisted workflows, and integration with banks and partner services across multiple markets.

You will collaborate across product, front-end, data and bank integration teams, shaping architecture, data models and scalable services while maintaining strict data privacy and compliance standards.

Qualifications

• AI-assisted development as daily workflow and agentic coding with Claude Code or equivalents.
• Structured, critical approach to AI-assisted engineering: gather info, plan, choose tools, review AI output.
• Judgment about method: scale process to problem, not the other way round.

Responsibilities

• Own complete backend feature development from spec through deployment - Go services on AWS.
• Lead architectural discussions and document the decisions that matter.
• Build and review AI agent workflows using Claude Code or equivalent tools.
• Design and operate scalable, event-driven services - APIs, queues and jobs (Go on Lambda, EventBridge, SQS).
• Integrate with partner banks, credit data providers, the CCP and internal platform services.
• Instrument what you ship and read the results - event tracking, experiment readouts, and judgement to drop non-movers.
• Enforce GDPR and EU AI Act compliance requirements in every feature.
• Share knowledge with peers - reviews, pairing, and elevating code quality.

Skills

AI tooling workflow

Go backend

REST/gRPC APIs

Event-driven design

Tools

AWS (Lambda, EventBridge, SQS)

RDS

Docker

CI/CD pipelines

Job description

Responsibilities

You will become a member of a global Tech team located in Oslo, Helsingborg and Lisbon, building a multilanguage, highly scalable, cloud native, multi market broker and membership platform.

Owns significant backend features end-to-end on the One Platform core of the Money & Volume business - Go services on AWS. Works in an AI-First engineering culture where Claude Code and AI-assisted development are daily workflow, not optional extras. Bridges product thinking, strong architecture instincts, and practical delivery: shipping multiple features a week while maintaining the quality standard that financial data demands. Contributes to architectural direction, shares knowledge with peers (we learn together rather than in a hierarchy) and collaborates across product, front-end, data and our bank partners' integration teams.

How we build: One Platform is an event-driven, cloud-native platform - Go services on AWS Lambda with EventBridge and SQS, relational data on RDS, infrastructure as code, trunk-based development and a green pipeline as table stakes. It carries ~1.5M applications a year through bank integrations in four markets, and it is being connected to the group's Central Customer Platform (CCP), which provides shared customer identity and single sign-on across the Axo brands. AI-assisted development is the default daily workflow, and much of what we ship goes out flag-gated so we can measure it - and may be deleted once the data speaks. Experiments exist to move commercial outcomes (submissions, approvals, disbursements, gross profit - not engagement for its own sake)

We are not looking for someone who has memorized this exact setup - it is bespoke. We want someone with the underlying instincts (clear domain boundaries, idempotent event handling, data-model discipline, knowing when to experiment vs. when to build to last) who is energized rather than unsettled by an opinionated architecture.

Your responsibilities will grow to match your abilities and experience.

Own complete backend feature development from spec through deployment - Go services on AWS

• Lead architectural discussions and document the decisions that matter - in the lightest form that does the job
• Build and review AI agent workflows using Claude Code, or equivalent tools - delegate implementation, review all output
• Design and operate scalable, event-driven services - APIs, queues and jobs (Go on Lambda, EventBridge, SQS)
• Integrate with partner banks, credit data providers, the Central Customer Platform (CCP) and internal platform services
• Instrument what you ship and read the results - event tracking, experiment readouts, and the judgment to drop what did not move the number
• Enforce GDPR and EU AI Act compliance requirements in every feature - data privacy is architecture, not a checkbox
• Share knowledge with peers - reviews, pairing, showing how you solved something; set the bar for code quality and AI-assisted development practices

Qualifications

Must have:

AI Tooling & Development Workflow

• Strong motivation to make AI-assisted development their primary workflow - agentic coding (Claude Code, Cursor, or equivalent) is our daily way of working, and the candidate must be eager to learn and master it
• Structured, critical approach to AI-assisted engineering: analyses the problem, proactively gathers the information a plan needs, plans the solution and picks the right tool for the job - then reviews all AI generated output critically rather than accepting it
• Judgment about method: knows when a change needs a written plan and when it is too small or too unshaped for one - matches the process to the problem, not the other way round

Backend - Go

• 5+ years backend experience; 2+ years of production Go strongly preferred - strong backend engineers from an adjacent typed/compiled language (e.g. Rust, Java, C#, Kotlin) willing to move to Go will be considered
• Strong command of Go concurrency - goroutines, channels, context - and idiomatic Go
• Solid API design (REST and/or gRPC) with clear domain boundaries; domain modelling and resource-oriented API design
• Writes clean, structured code using best practices (SOLID, clear domain boundaries, DTOs)
• Deep relational-database experience: schema design, performance, query optimization
• Experience designing scalable, event-driven systems (queues, jobs, APIs, integrations) - including idempotency and failure handling
• Knowledge of testing (Go test, table-driven) and static analysis tooling
• Comfortable with debugging, performance tuning, and zero-downtime deployments

Cloud-native - AWS

• Cloud-native on AWS - Lambda, EventBridge, SQS, RDS (serverless, event-driven patterns)
• Comfortable operating services in production - monitoring, alerting, incident response
• Infrastructure-as-code and CI/CD for backend services
• Containerisation (Docker) and service-to-service integration
• Treats