Senior SRE Platform Engineer

Clarity AI is a global tech company focused on leveraging AI and machine learning to deliver impactful data solutions for investors and consumers. They are seeking a Senior SRE Platform Engineer to enhance their infrastructure and data platform, ensuring a smooth development experience and promoting a collaborative DevOps culture within the organization.

Responsibilities:

• Helping us to improve our infrastructure and data platform (Improving dev experience, reliability, scalability) using a lean approach
• Creating a data platform and infrastructure optimized for developments using Machine Learning and massive data processing
• Improving the development experience
• Spreading the DevOps culture in the company
• Aligning with the mission and principles of the team (accelerate product teams, platform as a product, self-service, team collaboration, small safe steps, software/technology is a means to an end, etc.)
• Experience with Lean Software Development and DevOps practices (Vertical slicing, Lean approach, Continuous Delivery, pair/ensemble programming, etc.)
• Understanding how product team goals contribute to the company’s success
• Ability to identify systemic problems and lead solutions that require coordination and alignment with other teams
• Ability to lead architectural and technology direction for significant company impact
• Ability to detect and respond effectively to team needs, fostering a positive working environment

Requirements:

• Has 6+ years of experience
• Is a team player (collaborative, open) and has a passion for our profession
• Is a product-minded engineer with great empathy for our customers (internal and external)
• Has experience developing IaC for cloud environments (Terraform for AWS preferred)
• Knows at least two of the following technologies (AWS core services, k8s, Crossplane, Argo workflows, ArgoCD, Gitlab pipelines, Prometheus, Grafana)
• Has an interest in the DevOps engineering culture and practices
• Can identify and communicate problems to the team
• Pairs effectively with other team members
• Lean/agile mindset
• Time zone CEST +/- 1 (required for pair/ensemble programming)
• Strong proficiency in Python, Go, or Java
• Capability to align technical solutions with business objectives
• Excellent communication skills for both technical and non-technical audiences
• You know what GitOps is and what the associated tools are (ArgoCD, Flux, etc)
• Experience with Data Science and Machine Learning projects (MLOps, model productization, ML pipelines, etc.)
• Experience with Airflow
• Experience with broad company-wide impact through technical initiatives
• Participation in community-building activities inside or outside of the organization
• Ability to make high-quality, impactful contributions towards company goals
• Engages in technical foresight and strategic planning to guide the company's technology evolution