Sr. Full Stack Infrastructure Engineer

**About Maisa**:
maisa 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're revolutionizing productivity through cutting-edge AI technology.

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.
- Design, implement, and maintain scalable, high-performance systems capable of handling high-concurrency and real-time processing.
- 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.

# Required Skills and Experience
- 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).
- Strong knowledge of networking concepts, security best practices, and database management.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).

# Soft Skills and Personal Qualities
- A true team player with excellent collaboration skills, willing to share knowledge generously and help colleagues grow.
- Honest, humble, and modest; a person who values teamwork and puts the needs of the team ahead of personal ambition.
- Willingness to take ownership and responsibility while maintaining open and transparent communication.
- Strong problem-solving skills and the ability to think critically under pressure.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Self-motivated with a passion for continuous learning and staying up-to-date with emerging technologies.
- Fluency in English and Spanish is essential, with strong written and verbal communication skills.

# Additional Qualifications (Preferred but Not Required)
- Prior experience with **high-traffic, event-based systems** and knowledge of **real-time processing**.
- Experience working in fast-paced, high-concurrency environments, with the ability to scale systems to handle high loads.
- Knowledge of **SecOps** practices and experience in implementing security measures in cloud environments.
- Familiarity with InfoSec principles and experience in conducting security audits or implementing security controls.
- Bonus points for contributions to **open-source projects** or having built tooling that improves infrastructure or developer efficiency.
- Experience with data processing and analytics platforms (e.g., Apache Spark, Flink).
- Knowledge of machine learning operations (MLOps) and AI infrastructure management.

# What We Offer
- Opportunity to work on cutting-edge AI technologies in a fast-paced startup environment.
- Competitive salary
- Flexible work arrangements
- Chance to make a significant impact on the company's technical direction and growth.

If you're passionate about DevOps, SysOps, and building scalable, reliable, and secure systems, and want to