Senior Full Stack Infrastructure Engineer
hace 2 semanas
About Maisamaisa AI is an AI Research Lab, as well as AI SaaS (b2b) startup providing a horizontal platform that enables companies and knowledge workers to create and manage their Digital Workforce of Autonomous AI Workers. These workers operate 24/7, handling end-to-end jobs and mission-critical processes with unparalleled traceability, explainability and consistent quality. No hallucinations
We are seeking a Senior Full Stack Infrastructure Engineer to play a crucial role in our Site Reliability engineering (DevOps/SysOps/SecOps) and platform development efforts.
This position offers a unique opportunity to work across our entire stack, ensuring the reliability, scalability, and security of our systems while also contributing directly to our product development.
Key Responsibilities- Actively contribute as a hands-on engineer, dedicating 60% of your time to DevOps and SysOps responsibilities and 40% to supporting the engineering team as a regular contributor.
- Implement and maintain robust SysOps, DevOps & SecOps practices, including CI/CD pipelines, infrastructure as code, and automated testing.
- Manage and optimize our cloud infrastructure and on-premises systems, ensuring high availability, performance, and cost-effectiveness.
- Collaborate closely with the development team, providing feedback and implementing best practices to improve the performance and reliability of applications.
- Design, implement, and maintain scalable, high-performance systems capable of handling high-concurrency and real-time processing.
- Assist in implementing and maintaining security best practices across our infrastructure and applications.
- Troubleshoot and resolve complex technical issues across the entire stack.
- Implement and manage monitoring, alerting, and logging systems to ensure proactive problem detection and resolution.
- Participate in on-call rotations to provide 24/7 support for critical systems.
- Continuously evaluate and integrate new technologies to improve our infrastructure and development processes.
- Strong proficiency in Golang and Python, with familiarity in Rust for small-scale features.
- Extensive experience with DevOps practices and tools, including CI/CD, configuration management, and infrastructure as code.
- Solid SysOps skills, including system administration, network management, and performance tuning.
- Experience working with AWS services and the ability to handle cloud environments across various providers (GCP; Azure, etc.).
- Solid understanding of event-driven architectures and high-concurrency environments, with hands-on experience using Kafka, EventBridge, or similar event streaming technologies.
- Familiarity with Large Language Models (LLMs), retrieval-augmented generation (RAGs), embeddings, and other AI-related services is a major plus.
- Proficiency in containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes)
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