Staff Software Engineer – Platform Engineering

At Toku, we create bespoke cloud communications and customer engagement solutions to reimagine customer experiences for enterprises. We provide an end-to-end approach to help businesses overcome the complexity of digital transformation and deliver mission-critical CX through cloud communication solutions. Toku combines local strategic consulting expertise, bespoke technology, regional in-country infrastructure, connectivity, and global reach to serve the diverse needs of enterprises operating at scale.

Headquartered in Singapore, Toku supports customers across APAC and beyond, with a growing footprint across global markets. As a publicly listed company, Toku continues to scale its presence and impact across international markets.

As a Staff Software Engineer, you will be one of Toku’s most senior individual contributors, helping shape the architecture and technical direction of our cloud communications platform. You will combine hands-on engineering with cross-team technical leadership, working across distributed systems, cloud-native architecture, platform engineering, observability and infrastructure automation. You will influence Technical Leads and senior engineers while remaining close to the code and solving complex engineering problems yourself. You will thrive in this role if you enjoy turning complex platform challenges into scalable, reliable and pragmatic engineering solutions.

Requirements

What you will be doing

• Platform architecture: Shape the evolution of Toku’s platform architecture, helping unify our CCaaS, UCaaS and CPaaS capabilities into a scalable and cohesive platform.

• Technical direction: Translate business and product priorities into technical strategy, architecture and pragmatic engineering roadmaps that can evolve over multiple years.

• Hands-on engineering: Remain deeply technical and hands-on, designing, building, reviewing and improving production systems while tackling complex engineering problems that require senior-level judgement.

• Distributed systems: Design scalable, resilient distributed systems and microservices, reasoning about service boundaries, performance, failure modes, scalability, reliability and architectural trade-offs.

• Cloud-native engineering: Design and evolve services on AWS using cloud-native patterns, containerisation with Docker and Kubernetes, and modern platform engineering practices.

• Infrastructure as Code: Drive scalable infrastructure automation and abstraction using Terraform and associated tooling such as Terragrunt and Atlantis.

• APIs & platform integration: Establish scalable API-first patterns using technologies such as Kong, AWS API Gateway and OpenAPI, enabling services and platform capabilities to integrate cleanly and consistently.

• Observability & reliability: Establish strong observability practices across metrics, logs and distributed tracing, using tooling such as Grafana, Prometheus, Loki, Tempo, Datadog, Sentry and CloudWatch to improve platform reliability and reduce detection and recovery times.

• Delivery & automation: Partner with DevOps and engineering teams to improve CI/CD, GitOps, infrastructure provisioning, deployment automation, zero-downtime releases and database deployment/migration processes.

• Security & identity: Help shape secure platform architecture and authentication patterns using technologies and standards such as Keycloak, JWT, OAuth2 and OIDC, embedding DevSecOps principles into engineering practices.

• Data architecture: Guide database design, performance and scalability across SQL and NoSQL systems, helping teams make appropriate architectural decisions for production workloads.

• Cross-team technical leadership: Influence architecture and engineering standards across squads, working closely with Technical Leads, Engineering Managers and senior engineers without relying on formal reporting authority.

• Engineering mentorship: Mentor senior engineers and Technical Leads, raise engineering standards through design and code reviews, and encourage strong ownership, pragmatic decision-making and continuous technical improvement.

We’d love to hear from you if you have

• Staff-level engineering experience: Significant experience as a senior individual contributor designing and evolving complex production software systems, with the ability to influence technical direction across multiple engineering teams.

• B