Software Engineer - Infrastructure
About Us
At Convergence, we're transforming the way AI integrates into our daily lives. Our team is developing the next generation of AI agents that don't just process information but take actions, learn from experience, and collaborate with humans. By introducing Large Meta Learning Models (LMLMs) that integrate memory as a core component, we're enabling AI to improve continuously through user feedback and acquire new skills during real-time use.
We believe in freeing individuals and businesses from mundane, repetitive tasks, allowing them to focus on innovative and creative work that truly matters. Our personalised AI assistant, proxy, collaborates with users to enhance productivity and creativity. With a $12 million pre-seed funding from Balderton Capital, Salesforce Ventures, and Shopify Ventures, we're poised to make a significant impact in the AI space. Join us in shaping the future of human-AI collaboration and be part of our mission to transform the AI landscape.
The Role
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)
Why Join Us?
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
