We are seeking an experienced Software Engineer who is Infrastructure focused to join our dynamic team. As a lead member of our infrastructure team, you will play a crucial role in building and maintaining the robust, scalable systems that power Proxy, our generalist agent, ensuring high availability and optimal performance across our cloud infrastructure.
Responsibilities
- Design, implement, and maintain our cloud infrastructure on GCP using Infrastructure as Code (Terraform)
- Build and manage our Kubernetes clusters, focusing on scalability, reliability, and security
- Develop and maintain automation tools and CI/CD pipelines in Python
- Design and optimise our PostgreSQL database architecture for performance and reliability
- Implement monitoring, logging, and alerting solutions across our infrastructure
- Collaborate with product engineering teams to provide robust infrastructure solutions
- Lead and implement security best practices and compliance measures
Requirements
- 3+ years of experience in infrastructure engineering
- Strong proficiency in Python for automation and tooling
- Extensive experience with Kubernetes administration and deployment
- Proven track record with Terraform and Infrastructure as Code practices
- Solid understanding of GCP services and cloud architecture
- Experience with PostgreSQL database administration and optimisation
- Experience with monitoring and observability tools
- Excellent problem-solving skills with a focus on system reliability
Bonus Qualifications
- Experience scaling ML/AI infrastructure
- Knowledge of service mesh technologies (e.g., Istio)
- Experience with high-performance computing environments
- Contributions to infrastructure-related open-source projects
- Experience with GitOps practices and tools
- Background in site reliability engineering (SRE)
At Convergence, our mission is to build a future of abundance for all of humanity.We are developing the first generation of truly general agents that can pick up any skill by actively working and learning from experience.
- Be at the cutting edge of AI and LLM technology
- Work on challenging problems that impact users' daily lives
- Collaborative and innovative work environment
- Opportunities for professional growth and learning
- Competitive salary and benefits package
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