
Senior Software Engineer – Cloud Platform Engineering
Posted 23 hours ago

Posted 23 hours ago
This is a fully remote position, open to applicants in United States.
• Design and execute application layers, business logic, and API workflows for cloud infrastructure and relational database services.
• Oversee features from inception to production.
• Produce clean, scalable, production-quality code.
• Utilize cloud orchestration expertise for reliable multi-cloud deployments.
• Construct resilient cloud infrastructure for a globally deployed relational database engine.
• Create cloud-native applications, controllers, and automation tools.
• Design and manage multi-cloud infrastructure across AWS, GCP, and Azure.
• Develop and uphold CI/CD pipelines for automated, scalable deployments.
• Deploy, troubleshoot, and oversee application services across public clouds.
• Construct or integrate vector databases, embedding pipelines, semantic search, and RAG systems.
• Create LLM-based applications or workflows utilizing AI agent frameworks.
• Implement relational database features such as SQL, indexing, query optimization, transactions, and schema design.
• Develop temporal data models, event-driven tracking, audit logs, and security measures.
• Create REST and/or gRPC APIs for external consumers or frontend systems.
• Collaborate within a small, high-ownership team with direct visibility into engineering strategy.
• 8+ years of experience in software development with extensive knowledge in distributed systems and cloud-native architecture.
• Proven experience in designing and managing multi-cloud infrastructure at scale across AWS, GCP, and Azure.
• Advanced skills in Terraform for Infrastructure as Code (IaC) and complex cloud orchestration.
• Expertise in containerization and orchestration using Kubernetes and Docker in production-grade settings.
• Experience in developing and maintaining robust CI/CD pipelines.
• Strong proficiency in Go or Python for cloud-native applications, controllers, and automation tools.
• BS/MS in Computer Science or a related technical discipline.
• Experience in designing and implementing REST and/or gRPC APIs.
• 5+ years of professional software development experience, with a minimum of 2 years focused on data-intensive applications, database-related features, or enterprise software.
• Demonstrated end-to-end ownership of a significant production feature or module.
• Hands-on production experience across at least two major public cloud platforms (AWS, Azure, GCP).
• Familiarity with vector databases, embedding pipelines, semantic search, or RAG systems.
• Prior experience in building LLM-based applications or workflows leveraging AI agent frameworks.
• Strong expertise in Python and high proficiency in at least one backend language such as Go, Java, or C++.
• In-depth knowledge of relational databases, complex SQL, indexing, query optimization, transactions, and schema design.
• Experience with temporal data models, event-driven tracking, audit logs, or system-versioned tables.
• Understanding of authentication, authorization, RBAC, row-level security, and multi-tenant data isolation.
• Proficiency in structured logging, distributed tracing, OpenTelemetry, and alerting.
• Familiarity with MariaDB server is a plus.
• Health insurance.
• Life insurance.
• Disability insurance.
• Funding for professional development resources.
• Flexible Paid Time Off (FPTO).
• Paid holidays.
• 401(k) plan.
• Parental leave.
• A high degree of flexibility and freedom.
inexogy smart metering
Skylo
SYNCREON
TechPionier
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