Lumnix

About Us

We operate and scale complex, production infrastructure supporting multiple platforms across financial intelligence and media technology domains.

Our systems are data-heavy, API-driven, and customer-facing, with requirements around reliability, security, and predictable operations. The infrastructure spans multiple environments, services, and workloads, and continues to evolve as the platforms grow.

Role Overview

We are looking for a DevOps / Platform Engineer to own and improve AWS infrastructure, deployment pipelines, and operational foundations across our platforms.

This role is about making systems reliable, observable, secure, and maintainable without unnecessary complexity. You will work closely with engineering teams to ensure services are easy to deploy, operate, and scale.

What You Will Do

• Own and maintain AWS infrastructure across multiple platform
• Design and operate CI/CD pipelines for backend services and frontend deployments
• Improve reliability and consistency of deployments and environments
• Manage and evolve infrastructure as code (Terraform or equivalent)
• Set up and maintain monitoring, logging, and alerting
• Support and operate long-running Node.js services, with limited use of serverless functions (AWS Lambda)
• Support backend services with scaling, networking, and secrets management
• Manage environments (dev, staging, production) and access controls
• Partner with engineers to improve service operability and deployment hygiene
• Identify and reduce operational risk (security, cost, availability)
• Assist with incident response and root-cause analysis when needed
• Support containerized workloads and services running on AWS
• Operate and optimize Docker-based deployments
• Focus on cloud cost optimization, including compute sizing and utilization, storage and data transfer costs, observability-driven cost insights
• Support data infrastructure decisions and operations, including data lifecycle management and retention
• Reliability and scaling of data-heavy workloads

• Partner with engineering teams to improve efficiency of data ingestion and processing pipelines

   

What You Will Not Be Doing

• No people management
• No over-engineered internal platforms
• No unnecessary process overhead

Focus is on outcomes and reliability.

Required Skills & Experience

• 5+ years of experience in DevOps, Platform, or Infrastructure roles
• Strong, hands-on experience operating AWS-based infrastructure in production
• Experience supporting API-driven, customer-facing systems
• Solid experience with Docker and containerized workloads
• Experience building and maintaining CI/CD pipelines for backend and frontend services
• Strong experience with Infrastructure as Code (Terraform preferred)
• Proven ability to manage and optimize:
  • Compute resources
  • Storage
  • Networking
  • Environment separation (dev, staging, production)
• Experience with cloud cost optimization, including:
  • Resource sizing and utilization
  • Cost monitoring and analysis
  • Identifying and reducing unnecessary spend
• Experience supporting data-heavy systems, including:
  • Operating managed databases in AWS
  • Data reliability, scaling, and lifecycle considerations
• Strong understanding of:
  • Linux systems
  • Networking fundamentals
  • Security and access control (IAM, secrets management)

• Comfortable operating in early-stage, evolving environments with limited process

   

Nice to Have

• Experience supporting data-heavy or analytics platforms
• Experience operating PostgreSQL in production
• Familiarity with Docker and containerized workloads
• Experience with monitoring and observability tooling
• Security-first mindset

• Experience supporting multiple products or teams

   

What Success Looks Like in the First 90 Days

• Clear understanding of platforms infrastructure and deployment flows
• More predictable, lower-stress deployments
• Improved visibility into system health
• Reduced operational and security risk
• Engineering teams trust and rely on the platform