DevOps Engineer

About Sentient

At Sentient, we’re pioneering the decentralized artificial general intelligence (AGI) frontier, breaking free from the constraints of centralized AI models. Our cutting-edge platform is designed to democratize AI development, empowering communities to collaboratively train and control AI models in a truly open and accessible ecosystem.

Fueled by our expertise in distributed systems, cryptography, and AI, we’re building a game-changing environment that fosters open-source development and ensures fair value distribution. Say goodbye to the monopolies of the past – Sentient’s decentralized network promotes model composability and adherence to our foundational principles of transparency, trust, and inclusivity.

Imagine being part of a team that’s shaping the future of AGI, where innovation knows no boundaries, and the collective intelligence of global communities drives progress. Join us on this exhilarating journey as we redefine the AI landscape, unleashing the full potential of trustless, decentralized AGI.

Sentient is backed by leading Silicon Valley venture capital firms including Founders’ Fund, Pantera, and Framework.

What you'll do
  • Design, implement, and maintain end-to-end DevOps solutions for large-scale applications
  • Architect and manage robust cloud infrastructure on AWS and GCP using Infrastructure as Code
  • Implement and optimize CI/CD pipelines for frequent, reliable releases
  • Monitor and optimize cloud infrastructure budget and spending across environments
  • Design comprehensive network architectures (VPCs, subnets, API gateways)
  • Maintain multi-environment setups (dev, UAT, prod) with code-driven synchronization
  • Implement serverless architectures and optimize cloud resource utilization
  • Set up and manage advanced release management processes
  • Implement security measures, including IAM, security groups, and encryption
  • Optimize CDNs, load balancers, and caching strategies for high performance
  • Write comprehensive documented testing code to ensure product reliability
  • Establish backup, disaster recovery, and high availability solutions
  • Create comprehensive observability solutions for infrastructure and application performance, including for end-to-end AI products

Qualifications

  • Describe the experience and attributes of the ideal candidate
  • 5+ years hands-on experience in end-to-end DevOps for large applications or startups
  • Strong proficiency in Infrastructure as Code (Terraform, CDK, Cloud Deployment Manager)
  • Extensive experience with CI/CD tools and advanced release management techniques
  • Expertise in containerization (Docker) and orchestration (Kubernetes, EKS, GKE)
  • Proven track record of implementing complex networking solutions
  • Strong background in cloud security best practices and DDoS mitigation
  • Demonstrated ability to optimize cloud costs and resource utilization
  • Experience designing and implementing multi-region, highly available architectures
  • Deep expertise in AWS and GCP services including:
    • Compute: EC2, GCE, Lambda, Cloud Functions
    • Networking: VPC, Cloud VPN, Transit Gateway, Cloud Interconnect
    • Storage: S3, Cloud Storage, EBS, Persistent Disk
    • Databases: RDS, Cloud SQL, DynamoDB, Bigtable
    • Containerization: ECS, GKE, ECR, Container Registry
    • Serverless: Lambda, Cloud Functions, API Gateway, Cloud Run
    • Monitoring: CloudWatch, Cloud Monitoring, CloudTrail, Cloud Audit Logs
Values
  • Appreciate and pursue deep expertise
  • Embrace extreme ownership and bias for action
  • Want to take risks and act upon ambition with integrity and empathy
  • Pursue relentless innovation and experimentation
  • Invest in personal growth and team collaboration

Engineering

Remote (Bengaluru, IN)

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