Responsibilities:

• Serve as a technical lead, architecting and designing complex cloud native and cloud agnostic-based infrastructure for building and scaling our enterprise GenAI platform.
• Collaborate with product managers, applied research, customer success and technology teams contributing to roadmap planning and technology evaluations.
• Be a hands-on engineer who delivers solutions that set the example for rapid innovation, engineering excellence, from architecture to algorithms to implementations
• Mentor and develop engineers, help define and grow the technical culture, and assist in attracting and retaining engineering talent
• Rotating responsibilities for on-call when required
• Passionate about data, cloud infrastructure challenges at scale.

Required Qualifications: Hands-on involvement in the architecture, development, and deployment of reliable infrastructure.

8+ years of experience leading, mentoring, or managing software engineers.

• Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation
• Practical Expertise in one or more cloud platforms like AWS, Azure, or GCP including scaling with Docker and Kubernetes.
• Deep understanding of network architecture, protocols, and security best practices
• Experience with containerization technologies like Docker, Kubernetes
• Familiarity with scripting languages like Python, Bash
• Experience with service mesh (Linkerd, Istio) and API gateways (Kong, Traefik) to enhance microservices deployment and management.
• Ability to tackle complex problems, make data-driven decisions, and apply best practices in secure software development.

Preferred Qualifications:

• 10+ years of hands-on experience building and maintaining high performance scalable infrastructure
• Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in production environments.
• Proficiency in orchestration frameworks like Flyte, MLFlow or similar technologies for automating complex workflows
• Education Experience: Bachelor’s degree in Computer science, Computer Engineering, or relevant technical field, or equivalent practical experience.

Professional Attributes:

• Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.
• Collaboration and Communication: proficiency in working within cross-functional teams—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.
• Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Ability to follow and oversee projects, coordinating resources, setting milestones, monitoring progress, and adjusting plans accordingly.
• Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.
• Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.
• Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.

What we offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.

If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.