DevOps Engineer

Our client is building the first programmable-bandwidth supernetwork - an infrastructure that transforms millions of users idle internet connections into real-time multimodal data streams (text video audio) for AI systems and enterprise use cases. Every day users become nodes in a decentralized network that leverages their bandwidth to fetch public web data at massive scale.

The company is looking for a DevOps Engineer to help build and operate the global infrastructure that powers Trendminer and the companys supernetwork. Youll work directly with the CTO to design scalable systems from day one using AWS Kubernetes and Terraform with the ambition to support millions of users and devices worldwide.

This is a rare opportunity to help lay the groundwork for a new paradigm shift: A world where the Internet data finally becomes fully open and accessible to AI. At the company youll be building petabyte-scale data pipelines orchestrating elastic nodes and implementing intelligent data routing while optimizing for uptime observability and cost efficiency.

What Youll Do

- Infra Architecture & Scaling:

• Design deploy and manage cloud infrastructure with Terraform and Kubernetes.
• Architect systems that scale automatically from zero to millions of users and nodes.

- Data Ingestion Infrastructure:

• Design systems that support global-scale scraping proxy rotation and real-time data ingestion across diverse formats (HTML video audio).
  

- Cloud Migration:

• Lead the migration from DigitalOcean to AWS balancing scalability cost and security.

- CI/CD & Developer Velocity:

• Build automated pipelines with GitHub Actions or similar tools to streamline shipping.

- Observability & Ops:

• Implement logging monitoring and alerting (e.g. Prometheus Grafana Loki Sentry).
• Proactively address reliability bottlenecks and maintain a smooth incident response process.

- Security & Infra Hygiene:

• Set up IAM policies secret management firewalls and data protection strategies.
• Ensure GDPR/CCPA compliance and follow security-by-design principles.

- Cross-Team Collaboration:

• Work with backend data and frontend engineers to ensure the infrastructure supports product needs.
• Contribute to team-wide engineering standards and documentation.

What You Bring

- Technical Expertise:

• Strong experience (6 years) with AWS infrastructure and services (EC2 VPC EKS IAM S3 etc.).
• Mastery of Terraform Docker and Kubernetes for container orchestration.
• Familiar with Linux systems server config and security best practices.
• Built and maintained CI/CD pipelines ideally in GitHub Actions.
• Solid knowledge of observability tooling and incident response workflows.
• Experience with high-scale scraping browserless architectures (e.g. Puppeteer Playwright) rotating proxy networks or data extraction pipelines.

- Mindset & Culture Fit:

• Builder Mentality: Youre hands-on autonomous and thrive in high-ownership environments. You ship fast debug deep and treat infra as a product not just a system.
• First Principles Thinker: You dont default to standard playbooks. You question assumptions design from scratch when needed and optimize for scale cost and resilience.
• Bias for Action: You make pragmatic calls iterate quickly and prioritize momentum over perfection.
• Mission-Driven: Youre excited by the idea of building a new paradigm for AI systems.
• Collaborative by Default: You enjoy working closely with leadership giving and receiving clear feedback and pushing the bar with a lean talented team.

What the company offers

• Foundational Role: Play a core part in shaping the infrastructure of a high-growth AI/data company. Youll join early with the ability to drive architecture reliability and scale across the network.
• Strong Incentives: Competitive compensation token allocation and performance-based bonuses tied to network growth and uptime metrics.
• High-Leverage Work: Build critical systems that underpin petabyte-scale data flows and power real-time intelligence for autonomous agents and enterprise clients.
• Remote-First Culture: Work from anywhere with async flexibility. Join the core tech team in Singapore or operate fully remotely.
• Tight Feedback Loops: Collaborate directly with the CTO and leadership team with fast iteration cycles and high visibility on outcomes.