Go Developer

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🕒 4 days ago

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Social Links

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🔒 Cybersecurity

🏛️ Government

Cybersecurity • Government • Private Investigations

Social Links is a leader in the open-source intelligence (OSINT) sector, providing advanced tools and solutions for data-driven investigations. With a suite of products such as SL Crimewall and SL API, the company enables clients to extract and analyze data from over 500 sources, including social media and the Dark Web, to uncover insights across various fields including crime, fraud prevention, and corporate security. Their offerings are utilized by law enforcement and government agencies worldwide to facilitate effective investigations and decision-making.

📋 Description

• Design and implement high-throughput REST APIs using Gin • Build Temporal workflows and activities for complex, multi-step data pipelines • Create robust validation logic for YAML DSL against ontology schemas • Integrate with PostgreSQL, MongoDB, and Delta Lake data stores

🎯 Requirements

• Strong production experience with Go • Strong understanding of distributed systems and microservices patterns • Experience with workflow orchestration: Temporal, Cadence, or similar • Proficiency with PostgreSQL and schema design • Experience building high-throughput REST APIs • Familiarity with event-driven architecture: Kafka, Pulsar, or similar • Solid understanding of concurrency patterns in Go: goroutines, channels, context • Experience with Docker and basic understanding of Kubernetes/container orchestration • English – intermediate level or higher • Russian – advanced level or higher • Nice To Haves: Background in OSINT, threat intelligence, or security domain; Experience with MongoDB and document databases; Familiarity with Delta Lake or data lakehouse patterns; Kubernetes deployment and operations experience; Experience with gRPC alongside REST

🏖️ Benefits

• Remote-first setup: work from anywhere in the world, except Russia and Belarus • Work on a greenfield, technically challenging product: distributed system at scale • High degree of ownership: influence architecture, reliability, and engineering practices • Strong engineering culture: code reviews, clear boundaries, focus on maintainability and observability • Direct collaboration with senior technical stakeholders: engineering leadership, product