Here at Ailytics, we’re building AI solutions to envision a safer world. By combining computer vision and predictive analytics, we enable organizations to proactively identify risks, optimize processes, and ultimately save lives. Our platforms are currently deployed all over the world, covering more than 300 million square meters!
As our Senior DevOps and Cloud Solutions Architect, you’ll be a hands-on technical leader who will design, build, and optimize our cloud infrastructure and deployment pipelines. You’ll play a key role in ensuring scalability, security, and reliability of our applications. Working closely with cross-functional teams, you’ll leverage your expertise in AWS, container orchestration, and automation to help us deliver high-performing and resilient systems.
What You Will Be Doing
- Architect and maintain highly available, secure, and scalable cloud infrastructure (primarily on AWS).
- Implement and adhere to Continuous Integration and Continuous Deployment (CI/CD) pipelines, ensuring seamless and efficient software delivery processes.
- Integrate security best practices (DevSecOps), vulnerability scanning, and compliance checks into pipelines.
- Work alongside CTO and other Senior Engineers to build and scale Django applications in a cloud environment.
- Collaborate with cross-functional teams for the continued development of our technology roadmap and long-term company goals.
- Guide and mentor developers and foster a growing team environment.
Our Tech Stack
- Programming Languages: Proficiency in languages such as Python, ReactJS, and TypeScript.
- Web Frameworks: Experience with web frameworks like Django and Flask.
- Databases: Skilled in both relational and NoSQL database technologies (comparable to PostgreSQL and MongoDB).
- Containerization & Orchestration: Proficiency in containerization and orchestration tools (akin to Docker and Kubernetes).
- Cloud Services: Familiarity with major cloud platforms (AWS, Azure and/or GCP).
Our Ideal Requirements
- Advanced Degree: Master’s or PhD in Computer Science, Electrical Engineering, or related fields, or equivalent practical experience.
- 4+ years of experience in DevOps, SRE, or Cloud Engineering roles, preferably in AWS environments
- Hands-on experience building and scaling Django applications in a cloud environment (AWS, Azure, or GCP).
- Expertise in cloud storage, content delivery networks, virtual server environments, web socket technology, and optimizing cloud-based resources for performance and security.
- Experience in code versioning, monitoring, and CI/CD pipelines.
- Demonstrated ability to lead projects, work independently and in teams with excellent verbal and written communication.
Why Work At Ailytics?
- This is an opportunity to create lasting impact and explore the intersection of AI and safety.
- We’re a start-up that’s still in its early stages. If you’re looking for an environment where you can really make an impact, this is it.
- We value strong standards, high transparency, and low ego. Let us know if this sounds like you.