Middle/Senior Go Engineer (Accessibility Product House)

• Design and implement scalable, distributed Back-end solutions for a SaaS platform 
• Architect and deliver complex systems focused on accessibility compliance 
• Plan, execute, and maintain large-scale software delivery pipelines 
• Monitor system health and optimize performance across services 
• Research, evaluate, and integrate modern technologies into the Back-end architecture 
• Troubleshoot issues across various Back-end services and infrastructure 
• Collaborate on evolving the product's core architecture to meet performance and scale requirements 
• Lead or contribute to hands-on technical architecture and SaaS infrastructure decisions

• 3+ years of experience with Golang
• Proficiency with at least one major cloud provider (GCP, AWS, or Azure), including serverless and container-based deployments
• Expertise in modern software design practices
• Familiarity with multiple data stores/services (SQL, NoSQL, ElasticSearch, BigQuery, etc.)
• Knowledge of high-scale stream and batch processing systems (e.g., Flink, Spark, Kafka)
• Extensive experience in managing and maintaining production systems
• Upper-Intermediate level of English

WILL BE A PLUS:

• Knowledge of Kotlin, Python, and Node.js
• Understanding of distributed systems and microservices architecture
• Familiarity with Kubernetes and container orchestration platforms
• Experience with ClickHouse or other high-performance databases

PERSONAL PROFILE

• Independent and self-motivated learner
• Excellent problem-solving skills
• Proactive attitude
• Strong team player with a collaborative mindset

We’re looking for an experienced Go Engineer to join our client's innovative team. In this role, you’ll be responsible for designing and implementing scalable, distributed Back-end solutions for a SaaS platform.

CUSTOMER

Our client is a market-leading software development company that specializes in web and mobile accessibility. They focuse on providing accessibility automation to enterprises. Their AI-powered products save time and reduce risk via proprietary discovery and analysis algorithms that integrate directly into software development pipelines.

Originally posted on Himalayas