Staff Software Engineer – Distributed Systems

🕒 August 3

🌐 Malaysia, India, +1 more countries – Remote

🇲🇾 Malaysia – Remote 🇮🇳 India – Remote 🇳🇱 Netherlands – Remote

⏰ Full Time

🔴 Lead

⛓️ Blockchain Engineer

👻 Ghost score 39%

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Toku

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

✈️ Travel

💰 $5M Series A on 2022-10

Consulting • Logistics • Travel

Toku is a company that specializes in AI-powered communication solutions, focusing particularly on customer engagement and business telephony. They offer a wide range of products, including conversational AI platforms, AI voice agents, and business telephony solutions for platforms like Microsoft Teams and Zoom Phone. Their services also include customer engagement tools such as contact centers, campaign managers, and feedback management systems. Toku is particularly focused on enhancing customer experience (CX) in the APAC region with solutions tailored to address unique language and communication challenges in the area. Additionally, Toku provides embedded communication solutions like programmable voice and messaging, user verification, and number masking to enhance security and efficiency in client communications. They cater to various industries including government, fintech, insurance, and travel, aiming to provide omnichannel and seamless digital experiences.

📋 Description

• Design, build and evolve robust backend services and APIs that power Toku's cloud communications platform. • Design and develop scalable distributed systems and microservices, making sound architectural decisions around service boundaries, scalability, reliability, latency, fault tolerance and operational simplicity. • Build and evolve event-driven systems using technologies such as Kafka, AWS SQS, RabbitMQ and similar messaging platforms to support high-volume asynchronous communication workflows. • Develop backend integrations connecting Toku's platform with external communication providers, internal platform services and asynchronous workflows. • Develop and operate backend services on AWS using modern cloud-native engineering principles. • Contribute to technical direction, challenge existing designs, improve architecture and help evolve backend systems toward simpler, more scalable and maintainable solutions. • Own backend systems in production, including monitoring, troubleshooting, performance optimisation, reliability improvements, incident investigation and continuous operational improvement. • Contribute to the ongoing modernisation of backend services, including increased adoption of Go, event-driven architecture and scalable distributed systems. • Design and optimise SQL-based data models, ensuring performance, correctness and scalability. • Write clean, maintainable and well-tested code, and participate actively in design discussions, code reviews and technical decision-making. • Proactively identify technical debt, recurring engineering problems and opportunities for improvement, driving solutions through to completion while collaborating across multiple engineering squads.

🎯 Requirements

• Strong hands-on experience designing, building and operating production backend systems. • Strong practical experience developing production backend services in Go. • Experience designing or operating distributed systems, microservices and backend architectures, with an understanding of scalability, latency, resilience, fault tolerance and system trade-offs. • Practical experience working with technologies such as Kafka, AWS SQS, RabbitMQ or similar messaging and event-streaming platforms. • Experience designing, building and integrating production APIs and backend services. • Strong cloud engineering fundamentals with AWS experience preferred, although candidates with solid Azure or GCP experience are also encouraged to apply. • Strong SQL knowledge including schema design, query optimisation and production data management. • Experience with NoSQL technologies such as DynamoDB, Cassandra or Redis is advantageous. • Experience operating production systems, including monitoring, troubleshooting, incident response, performance optimisation and continuous reliability improvements. • Demonstrated ability to improve existing systems, influence technical direction and proactively solve engineering problems rather than simply delivering assigned tasks. • Experience with observability and monitoring tools such as Grafana, Prometheus, OpenTelemetry, Datadog or similar technologies.

🏖️ Benefits

• Competitive salary • Flexible work hours • Professional development budget • Home office setup allowance • Global team events

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