Senior Backend Engineer

Sentient Foundation

. Design, implement, and maintain fault-tolerant core infrastructure for the Sentient platform .

Posted 10/6/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing fault-tolerant core infrastructure and performance-critical backend services on AWS and GCP. Proficient in developing scalable AI workflows and custom AI agent frameworks, with a strong focus on security and documentation.

Highest-signal resume keywords

Python Programming LanguageAWS ServicesGCP ServicesContainerization with DockerKubernetes Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fault-Tolerant Infrastructure DesignBackend Service ArchitectureREST APIsWebSocket APIsServerless ArchitecturesInfrastructure as CodeGenerative AIAI InferenceFine-TuningMulti-Agent Systems

Soft Skills

Problem-Solving MindsetCollaboration

Tools & Technologies

TerraformCDKCloud Deployment ManagerDockerKubernetesEKSGKEAWS IAMCloudWatchCloudTrail

Industry Keywords

AI ApplicationsCloud Resource UtilizationScalable WorkflowsPerformance-Critical ServicesSecurity Measures

Tech Stack

Tools & technologies

AWSCloudDockerDynamoDBEC2Google Cloud PlatformKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

Design, implement, and maintain fault-tolerant core infrastructure for the Sentient platform
Architect and manage robust, performance-critical backend services on AWS and GCP
Implement serverless architectures and optimize cloud resource utilization
Implement and maintain REST and WebSocket APIs for AI applications
Collaborate with cross-functional teams to define, design, and ship new features
Design and deploy scalable, reliable, and secure end-to-end AI workflows, including generative AI fine-tuning and inference pipelines
Design and implement custom AI agent frameworks and multi-agent systems from scratch
Deploy, test, and manage releases from development through UAT to production
Deploy services using security measures including IAM, security groups, and encryption
Write comprehensive documentation for reproducibility and transparency

Requirements

What you’ll need

5+ years hands-on experience in developing large applications and designing end-to-end infrastructure
Demonstrated mastery of the Python programming language
Expertise in AWS and GCP services, including EC2, GCE, Lambda, Cloud Functions, VPC, Cloud VPN, Transit Gateway, Cloud Interconnect, S3, Cloud Storage, EBS, Persistent Disk, RDS, Cloud SQL, DynamoDB, Bigtable, ECS, GKE, ECR, Container Registry, API Gateway, Cloud Run, CloudWatch, Cloud Monitoring, CloudTrail, and Cloud Audit Logs
Expertise in containerization with Docker and orchestration with Kubernetes, EKS, and GKE
Familiarity with Infrastructure as Code using Terraform, CDK, and Cloud Deployment Manager
Understanding of Generative AI, LLMs, datasets, fine-tuning, and AI inference
Problem-solving mindset to navigate ambiguity in a fast-paced startup
Passion for building revolutionary AI products

Benefits

Comp & perks

Competitive salary, equity, and insurance
Flexible PTO and WFH policy
Top-of-the-line engineers and technology
Opportunity to shape the direction of a pioneering open AI platform