Senior Go Backend Engineer: Context Storage for AI Agents

Sinch; Madrid; On-site; EUR 60,000 - 80,000; Full time

Job summary

Sinch is building the next generation of conversational AI infrastructure. As a Senior Software Engineer on the Context Storage team, you will design, build, and own the core data platform that captures, persists, and serves conversational context to AI agents across SMS, WhatsApp, and voice at scale.

You will work on a zero-to-one platform from the ground up, partnering with cross-functional teams and senior engineers to deliver high-impact solutions with autonomy and accountability.

Qualifications

• 5–8+ years of professional software engineering experience.
• Strong backend and platform skills including distributed systems, microservices, event-driven architectures, and cloud-native design on AWS.
• Experience with Kafka or other event-streaming platforms.
• Solid backend engineering experience in Golang (preferred) / Java / Node; willingness to learn other languages.
• Solid experience with data modelling and persistence at scale, ideally with DynamoDB or equivalent NoSQL experience.
• Experience integrating with LLMs and vector databases in a backend or platform context.
• Experience with AWS and operations including core AWS services (DynamoDB, EKS, etc.), Docker, Kubernetes, CI/CD, infrastructure as code, and monitoring.
• Ability to explain architectural trade-offs clearly around storage, consistency, and throughput.
• Strong engineering fundamentals including clean code, testing strategies, debugging production systems, and building reliable systems.
• Experience using AI coding tools such as Copilot, Claude Code, Cursor, or similar.
• Ability to work autonomously, define scope, and deliver solutions independently; strong prioritisation.
• Strong communication skills with technical and non-technical stakeholders.
• Fluency in English.

Responsibilities

• Design and build the event-driven pipelines that capture conversational and interaction events across channels.
• Own the data model and storage architecture for DynamoDB for AI agents.
• Design system architecture and proposals for ingestion, schema design, and access patterns.
• Build event-sourcing / CQRS-style systems for high-throughput streams with consistent reads.
• Write production-grade Go services with tests and documentation; ensure observability and resilience.
• Own the full lifecycle from design to deployment, monitoring and on-call.
• Follow a build-ship-run approach.
• Design APIs and data contracts for efficient context retrieval by AI agent platforms.
• Optimize DynamoDB capacity modes, indexing, and access patterns as volume grows.
• Contribute to architecture discussions, code reviews, and standards definition.
• Mentor team members and share knowledge.
• Collaborate across teams with product and technical stakeholders.

Skills

Distributed systems

Microservices

Event-driven

Golang

Kafka

Cloud-Native AWS

DynamoDB

CI/CD

Observability

Mentorship

English fluency

Tools

Docker

Kubernetes

EKS

Terraform

Job description

Sinch is building the next generation of conversational AI infrastructure. As a Senior Software Engineer on the Context Storage team, you will design, build, and own the core data platform that captures, persists, and serves conversational context to AI agents across SMS, WhatsApp, and voice at scale.

You will work on a zero-to-one platform from the ground up, partnering with cross-functional teams and senior engineers to deliver high-impact solutions with autonomy and accountability.