PH - DevOps Engineer

Working at Thinking Machines

Thinking Machines is a technology consultancy building AI & data platforms to solve high impact problems for our client. Our vision is for Southeast Asia to become a global hub for data science. To do that, we create data cultures, one organization at a time.

We’re a company made up of intellectually curious, civic-minded, forever-learning individuals. We believe that great data science products are built with care for people, and that the best way to drive inclusive innovation is to start with a diverse team.

Our field of work is incredibly dynamic, so we want to work with people who are committed to growing with us. We want to hire people who can demonstrate an ability to learn, then provide them with personalized coaching, growth opportunities, and a great working environment to get them to world-class.

Role Description

As a DevOps Engineer, you will play a critical role in creating infrastructure, applications, and deploying them. You will be responsible for developing AI-based software applications, CI/CD for deploying said applications, and contributing to the infrastructure that will run the application. You will also be consulted on the design of the above for our clients.

Key Responsibilities

• Infrastructure Engineering
• Design, deploy, and maintain cloud infrastructure in Azure, AWS, and GCP platforms.
• Tailor-fit our core solution templates for Infrastructure to our clients.
• Navigate and manage integrations with existing client infrastructure in cloud or on-prem.
• Set up and configure secure networking environments, including private networks, firewalls, peering, gateways, and VPNs, ensuring compliance with enterprise security standards and vulnerability assessments and penetration testing (VAPT).
• Implement infrastructure via Terraform.
• Implement infrastructure that is scalable, secure, and highly available with our Engineering Leads.
• Software Engineering & Data Engineering
• Design and develop web applications and APIs in different cloud environments following best practices.
• Design and develop high data volume pipelines and applications that use them.
• Work and collaborate with stakeholders and engineers in Thinking Machines to achieve the above.
• Collaboration & Communication
• Work closely with the Engineering Leads and other team members to bring our systems towards clients.
• Communicate infrastructure and CI/CD effectively to both technical and non-technical stakeholders.
• Foster a culture of continuous improvement and innovation within the team.
  

Requirements

• Proven experience in solution design and architecture as a DevOps Engineer or similar role in a cloud environment (Azure, AWS).
• Expertise in CI/CD such as Github Actions, Jenkins, or Azure DevOps.
• Strong knowledge of web applications and API development.
• Experience using some or all of our usual tech stack:
• Python, Javascript
• React, NextJS
• Django, Flask, FastAPI
• Airflow, Dagster
• Experience working with any SQL/NoSQL databases:
• PostgreSQL
• Elasticsearch
• Strong external communication skills to effectively communicate technical solutions to teammates and clients.
• Quick learning agility and a strong sense of initiative.
• Relevant certifications (e.g., Azure Solutions Architect, AWS Certified Solutions Architect) are a plus.

Benefits and Perks

We Offer The Following Compensation And Benefits

• Competitive salary — the compensation amount is positively correlated with the difficulty of the job, relevant experience, fit, and skill factors.
• Hybrid Set-Up — Hybrid-remote means employees are required to come in an average of two days a week for client engagements and internal in-person days intended for collaboration, socials, and strategic planning.
• Individual professional development budget — an annual budget for conferences, training courses, books, and software is available to sharpen your skills and build new ones to help you grow in your role.
• Full health benefits — generous health insurance package upon hiring, with options to include dependents.
• Apprenticeship and yearly performance reviews with the leadership team to discuss career and personal goals, job progress and any questions and concerns.