About us:Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an /"Engineering Company/" delivering measurable value and key business outcomes.Intuitive Superpowers:- DataOps & AI/ML- Cloud Native, AppSecOps, DevSecOps- Cloud Migration & Transformation- Cloud FinOps- Cybersecurity (App/Data/Infra) & GRC- SDx & Digital WorkspaceWe are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.About the job:Title – Senior Platform EngineerStart date: ImmediatePosition Type: Full TimeLocation: Remote across IndiaJob SummaryWe are seeking a Senior Platform Engineer to build Python automation services and APIs on top of our OpenStack cloud infrastructure. You will architect scalable service layers, design robust APIs, and implement automation frameworks that abstract infrastructure complexity. This is a hands-on software engineering role where you'll write production Python code daily while ensuring platform reliability and scalability.You will build the core services that make our cloud platform programmable: API services, workflow automation, resource management systems. Your focus will be on software engineering excellence—clean architecture, comprehensive testing, and maintainable code. We value engineers who write clean, maintainable code with comprehensive tests, design intuitive and reliable APIs, and balance engineering excellence with pragmatic delivery.Key ResponsibilitiesAs a Senior Platform Engineer, you will:Build Python services for OpenStack VM provisioning, configuration, and lifecycle management using FastAPI/Flask and openstacksdkDesign REST APIs for infrastructure operations including VM creation, volume management, and metadata updates with proper error handlingImplement automated workflows for cloud-init provisioning, post-deployment configuration, and resource cleanupWrite comprehensive test suites covering unit, integration, and end-to-end scenarios with minimum 80% coverageIntegrate with OpenStack services (Nova for compute, Neutron for networking, Cinder for storage) via Python SDKsBuild CI/CD pipelines using GitLab CI that validate, test, and deploy infrastructure automation codeCreate monitoring and alerting for platform services using Prometheus/Grafana and structured loggingDocument API specifications, deployment procedures, and troubleshooting guides for operational teamsCollaborate with infrastructure teams on requirements gathering, technical design, and production deploymentsMaintain production services including incident response, performance optimizationBuild storage management functionality for volume snapshots, backups, and multi-attach scenariosRequired Qualifications5+ years of software engineering experience, with 3+ years in platform/backend engineering roles3+ years building production REST APIs with comprehensive error handling, validation, and OpenAPI documentation2+ years experience with cloud platforms (OpenStack/AWS/GCP/Azure)Expert-level Python 3 proficiency with FastAPI/Flask, type hints, async/await patterns, and PydanticProven software architecture experience including service-oriented architecture, microservices patterns, and design patterns (Repository, Factory, Dependency Injection)Production service experience including deployment, monitoring, incident response, and CI/CD pipeline implementationProven ability to collaborate with cross-functional teams and stakeholders on complex technical initiativesPreferred QualificationsInfrastructure as Code experience with Terraform, Ansible, or PulumiOpenStack expertise with hands-on experience in Nova, Neutron, Cinder APIsContainer orchestration with Kubernetes and Docker in production environmentsMessage queue systems experience (RabbitMQ, Kafka, Redis Pub/Sub)Database systems experience with PostgreSQL, MySQL, or other RDBMSGitLab CI/CD pipeline configuration and automationMonitoring and observability tools (Prometheus, Grafana, ELK stack)Linux system administration and networking fundamentalsExperience with API gateway and service mesh technologiesPerformance optimization and scalability patterns for distributed systems
Job Title
Senior Platform Engineer