At Maxim, we are building an end-to-end evaluation stack to help development teams evaluate AI applications and iteratively improve them. Our platform streamlines the entire lifecycle of AI applications, right from prompt engineering (experimentation, versioning, deployment) to pre-release testing for quality and functionality, test-set creation and management, and post-release monitoring. Our goal is to help development teams collaborate seamlessly to ship high quality AI products, faster.
About the role Responsibilities
Infrastructure Security and Governance:
Implement robust security measures to safeguard the infrastructure from potential threats and vulnerabilities.
Establish and enforce security policies, procedures, and best practices across the organization.
Perform regular security audits and vulnerability assessments to identify and mitigate risks proactively.
In-VPC Deployment Management:
Design, configure, and maintain secure and scalable in-VPC deployments for various applications and services.
Automate deployment processes and ensure seamless integration with existing infrastructure components.
Monitor and optimize in-VPC deployments for performance, reliability, and cost-effectiveness.
Infrastructure Scaling and Optimization:
Architect and implement scalable infrastructure solutions capable of handling thousands of servers injecting data.
Leverage cloud computing technologies and auto-scaling techniques to dynamically adjust resources based on demand.
Continuously monitor and optimize infrastructure performance, identifying and resolving bottlenecks.
High Availability and Responsiveness:
Implement redundancy and failover mechanisms to achieve 99.99% uptime for critical systems and services.
Design and configure load balancing strategies to distribute traffic effectively across multiple servers.
Monitor system performance and responsiveness, taking proactive measures to maintain optimal user experience.
Automation and DevOps Practices:
Embrace DevOps principles and implement automation tools and processes for infrastructure provisioning, configuration management, and deployment.
Collaborate with development teams to establish continuous integration and continuous delivery (CI/CD) pipelines.
Promote a culture of Infrastructure as Code (IaC) and version control for infrastructure management.
Tech Stack
k8s on GCP
Terraform
Go + Typescript
Betterstack + Google Command Center
About you
Platform engineering is engineering: We do expect you to be part of engineering initiatives along with platform engineering.
You are proficient with k8s, Terraform, Go.
You have experience designing 0-1 B2B products, and are comfortable working in ambiguity.
Nice to Haves
Been in a full-stack/backend engineering role in the past or still are.
You have worked on LLM based products before.
You have managed/mentored a team of engineers before.
You have experience with Go and Typescript.
Benefits
At Maxim, we provide competitive compensation - great salary, robust equity grants, and other perks including health benefits and AI stipend. Beyond compensation, we constantly strive to build an empowering workplace with high-degree of autonomy, take-charge ownership, and dynamic opportunities for growth, all as Maxim continues to soar!
Location
At Maxim, we believe in the power of close collaboration and swift communication. To maintain our dynamic and agile work environment, we currently do not offer remote positions. Our engineering teams are based in Pune and Bangalore, India, and we are dedicated to providing all the necessary assistance to facilitate your relocation.
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