Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, or related field.
Minimum 5 years of software engineering experience, with at least 3 years in cloud platform development or distributed systems.
Proficiency in one or more backend languages: Go, Java, Python, or Rust for production-grade services.
Deep familiarity with cloud-native technologies including Kubernetes and Docker.
Solid understanding of distributed systems including consensus algorithms and fault tolerance.
Experience with major cloud platforms (AWS, GCP, Azure) in large-scale service design.
Knowledge of database technologies (PostgreSQL, MySQL) and data optimization strategies.
Responsibilities
Design, develop, and maintain core cloud platform services including compute orchestration and API gateway components.
Build and optimize RESTful/gRPC APIs and microservices for cloud resource management.
Develop scalable distributed systems for high-throughput workloads across multi-region deployments.
Write clean, well-tested code following software engineering best practices.
Implement cloud-native architectures using Kubernetes and Docker.
Collaborate with SRE teams to ensure high availability and disaster recovery.
Conduct performance profiling and capacity planning for scalability.
Benefits
A culture that values authenticity and diverse backgrounds.
Inclusive environment with exciting start-up spirit.
Opportunities to network with industry pioneers.
Ability to directly impact the future of the digital asset industry.
Involvement in new projects and system development.
Personal accountability and fast growth opportunities.
Attractive welfare benefits and developmental opportunities through training.
Full Job Description
What you will be responsible for:
Cloud Platform Software Development
Design, develop, and maintain core cloud platform services including compute orchestration, resource management, multi-tenancy, and API gateway components using Go, Java, Python, or Rust.
Build and optimize RESTful/gRPC APIs and microservices that support cloud resource provisioning, lifecycle management, and monitoring on Bitdeer AI Cloud.
Develop scalable, fault-tolerant distributed systems that handle high-throughput workloads across multi-region deployments. Implement service mesh, rate limiting, authentication, and authorization mechanisms for cloud platform services.
Write clean, well-tested, and well-documented code following software engineering best practices (CI/CD, code review, TDD).
By improving the efficiency of container orchestration, automating operational workflows, and ensuring system reliability, the role directly applies engineering management principles to enhance organizational performance.
Through continuous innovation in container and cloud-native technologies, the position allows for the application of research, design, and ethical engineering practices, which are core to engineering management training.
Cloud-Native Infrastructure & DevOps
Design and implement cloud-native architectures using Kubernetes, Docker, and container orchestration platforms.
Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform, Pulumi, or similar tools for automated provisioning and environment management.
Build and optimize CI/CD pipelines for automated testing, building, and deployment of cloud services.
Implement service discovery, configuration management, and secrets management for distributed cloud environments.
Collaborate with SRE and infrastructure teams to ensure high availability (99.9%+ uptime), disaster recovery, and capacity planning.
Database & Storage Systems
Design and implement data access layers and storage solutions for cloud platform services, including relational databases (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), and caching systems (Redis, Memcached).
Optimize database queries, indexing strategies, and connection pooling for high-performance cloud applications.
Implement data migration, backup, and recovery strategies for multi-tenant cloud environments.
Monitoring, Observability & Reliability
Implement comprehensive observability solutions including distributed tracing, structured logging, and metrics collection using Prometheus, Grafana, Jaeger, and ELK stack.
Design and build alerting mechanisms and SLI/SLO frameworks for proactive issue detection and service reliability.
Conduct performance profiling, load testing, and capacity planning to ensure system scalability and efficiency.
Participate in on-call rotations and incident response, driving root cause analysis and post-mortem improvements.
Cross-Team Collaboration & Technical Leadership
Collaborate with AI platform, product, and infrastructure teams to define technical requirements and deliver integrated solutions.
The role involves planning, organizing, and controlling large-scale engineering projects in the cloud computing domain, which mirrors the program's emphasis on effective project leadership.
Participate in architecture design reviews, code reviews, and technical discussions to maintain high engineering standards.
Mentor junior engineers and contribute to team knowledge sharing through documentation, tech talks, and best practice guides.
Evaluate and adopt new technologies, frameworks, and tools to continuously improve the cloud platform's capabilities.
How you will stand out:
Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, or related field.
Minimum 5 years of professional experience in software engineering, with at least 3 years focused on cloud platform development, distributed systems, or backend services at scale.
Strong proficiency in one or more backend programming languages: Go, Java, Python, or Rust, with demonstrated experience building production-grade cloud services.
Deep experience with cloud-native technologies including Kubernetes, Docker, microservices architecture, and service mesh (Istio, Envoy, Linkerd).
Solid understanding of distributed systems concepts: consensus algorithms, eventual consistency, sharding, replication, and fault tolerance.
Experience with major cloud platforms (AWS, GCP, or Azure), particularly in designing and operating large-scale cloud services and infrastructure.
Strong knowledge of database technologies (PostgreSQL, MySQL, MongoDB, Redis) and experience with data modeling, query optimization, and storage system design.
Proficiency in CI/CD tools and practices (GitHub Actions, Jenkins, ArgoCD) and Infrastructure-as-Code (Terraform, Pulumi).
Experience with observability and monitoring tools (Prometheus, Grafana, Jaeger, ELK) and SRE practices. Knowledge of cloud security best practices, including authentication/authorization (OAuth, JWT, RBAC), encryption, and compliance standards (SOC 2, ISO 27001).
Familiarity with AI/ML infrastructure and workload management is a plus (GPU scheduling, model serving, training pipelines).
Fluent in English; proficiency in Chinese is a plus. Experience working in multinational or cross-cultural environments is preferred.
Strong problem-solving skills, excellent communication abilities, and a collaborative mindset with the ability to work effectively in a globally distributed team.
What you will experience working with us:
A culture that values authenticity and diversity of thoughts and backgrounds;
An inclusive and respectable environment with open workspaces and exciting start-up spirit;
Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
Ability to contribute directly and make an impact on the future of the digital asset industry;
Involvement in new projects, developing processes/systems;
Personal accountability, autonomy, fast growth, and learning opportunities;
Attractive welfare benefits and developmental opportunities such as training and mentoring.
