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Senior Software Engineer – Distributed Systems
TokuSenior Backend Engineer designing, building and operating distributed systems for cloud communications solutions at Toku. Contributing to critical backend services and architecture improvements with a focus on scalability and reliability.
Tech Stack
Tools & technologiesAWSCassandraCloudDistributed SystemsDynamoDBGoGrafanaKafkaMicroservicesNoSQLPrometheusRabbitMQRedisSQL
About the role
Key responsibilities & impact- Design, build and evolve robust backend services and APIs that power Toku's cloud communications platform.
- Design and develop scalable distributed systems and microservices.
- Build and evolve event-driven systems using technologies such as Kafka, AWS SQS, RabbitMQ.
- Develop backend integrations connecting Toku's platform with external communication providers 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.
- Own backend systems in production, including monitoring and troubleshooting.
- Contribute to the ongoing modernisation of backend services.
- 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 and opportunities for improvement.
Requirements
What you’ll need- 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.
- 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.
- 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
Comp & perks- Flexible work arrangements