Middle/Senior Go Engineer (Accessibility Product House)

Remote Full-time
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 PROFILEIndependent 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. CUSTOMEROur 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

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