Software Engineer, Convergence
Infrastructure
£80-110k
1-5 days a week in office
Next-gen AI general agents
Be an early applicant
Next-gen AI general agents
1-20 employees
Be an early applicant
£80-110k
1-5 days a week in office
1-20 employees
Company mission
To build a future of abundance for all of humanity
Role
Who you are
- 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
Desirable
- 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)
What the job involves
- 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
- 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
Salary benchmarks
Our take
With an average of 62% of an employee's workday spent on repetitive tasks, Convergence is developing AI general agents to automate many manual tasks for office employees. Founded by machine learning engineers, it aims to free up workers so they can focus on innovation and creativity.
General agents are not a novel concept, but Convergence’s focus on general aid rather than tailored software for specific markets acts as a broad market calling card. Indeed, product flexibility is at the core of Convergence’s AI models, encouraging its customers to decide what its models are suited to within the context of their own business. The idea is that the customers adapt the AI agent to a number of skills in a similar way to which humans learn. Convergence calls this a theoretical “long-term memory” for AI, elevating the general models' flexibility to various automated jobs.
£12 million in seed funding from the founders' former employees Shopify alongside a pitch in from Salesforce is a springboard for the young company. It also goes some way to indicate the kinds of companies (fintech and eCommerce) that Convergence will attract as customers in the future for its adaptable, general agents.
Steph
Company Specialist at Welcome to the Jungle
Company
Employee endorsements
Challenging work
"Convergence is building the product that no one has done before, there is lots of challenging during building process. Very interesting challenges...."
Funding (1 round)
Sep 2024
$12m
SEED
Total funding: $12m
Company benefits
- 30 days PTO, Private Medical cover, Pension, Wellness benefit, Lunch allowance and flexible working
Company HQ
London, UK
Articles
Leadership
Marvin Purtorab
(Co-Founder & CEO)Previously a Member of the Technical Staff at Cohere, a Machine Learning Engineer at Shopify, a Tech Lead at Bayer and a Research Scientist at VHV.
Andy Toulis
(Co-Founder & CTO)Previously a Machine Learning Engineer at Cohere, Shopify, RBC and the Vector Institute.
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