Lead DevSecOps Engineer

About Axya

Axya is building the AI Copilot for Procurement, an AI platform that empowers supply chain teams to make smarter, faster decisions. Trusted by Airbus, Rio Tinto, Pratt & Whitney, and other market leaders, Axya connects buyers and suppliers through intelligent workflows that blend data, insight, and automation.

Our platform sits at the center of manufacturing, bridging human expertise, ERP systems, and real-time operational data. As we scale, Axya is deepening AI capabilities and integrations across the global manufacturing ecosystem.

The Role

We are seeking a Lead DevSecOps Engineer to join our product team and take ownership of optimizing our existing AWS infrastructure. You will be responsible for critically evaluating our current setup (RDS, EC2, Nginx, Docker Compose, Target Groups, Route53) and implementing improvements to enhance scalability, security, and resilience.

This role requires a highly autonomous professional who can take full ownership of infrastructure decisions, identify weaknesses in our current architecture, and drive meaningful improvements. You'll work independently while collaborating with our backend, data, and AI teams to ensure our infrastructure can support our rapid growth and enterprise client demands.

Key Responsibilities

Infrastructure Assessment & Optimization

• Critically evaluate our existing AWS infrastructure setup including RDS configurations, EC2 instances, Nginx load balancing, Docker Compose deployments, Target Groups, and Route53 DNS management
• Identify security vulnerabilities and scalability bottlenecks in the current architecture
• Design and implement infrastructure improvements with a focus on high availability, disaster recovery, and auto-scaling capabilities
• Modernize deployment strategies moving from Docker Compose to more scalable orchestration solutions where appropriate

Security & Compliance

• Conduct security audits of existing infrastructure and implement security hardening measures
• Redesign network architecture with proper VPC segmentation, security groups, and IAM policies
• Implement secrets management and encryption at rest/in transit across all services
• Establish compliance frameworks suitable for enterprise clients in manufacturing and aerospace sectors

Scalability & Performance

• Architect auto-scaling solutions to handle variable workloads and traffic spikes
• Optimize database performance and implement proper backup/recovery strategies for RDS
• Design load balancing strategies that can handle global traffic distribution
• Implement caching layers and CDN strategies for improved performance

Ownership & Autonomy

• Take full ownership of infrastructure decisions and their implementation
• Drive initiatives from conception to completion with minimal supervision
• Establish infrastructure standards and best practices across the engineering organization
• Lead incident response and post-mortem analysis for infrastructure-related issues

Required Qualifications

• 7+ years of hands-on DevOps/Infrastructure engineering experience with AWS
• Proven track record of redesigning and scaling production infrastructure for high-growth companies
• Deep expertise in AWS services including RDS, EC2, ELB/ALB, Route53, VPC, IAM, and CloudFormation/Terraform
• Strong security background with experience in infrastructure hardening and compliance
• Experience migrating from traditional deployments to modern container orchestration (Kubernetes/ECS)
• Proficiency in infrastructure-as-code tools (Terraform preferred)
• Expert-level scripting skills in Python, Go, or Bash
• Experience with GitLab CI/CD pipelines and GitLab-based workflows

Preferred Qualifications

• Kubernetes expertise for container orchestration at scale
• Experience with monitoring/observability tools (Prometheus, Grafana, DataDog, ELK stack)
• Advanced GitLab experience including GitOps practices, GitLab Runner optimization, and GitLab security scanning
• Knowledge of serverless architectures and event-driven systems
• Experience with compliance frameworks (SOC2, ISO 27001, etc.)
• Previous experience supporting AI/ML workloads and data pipelines

Benefits

• Unlimited vacation policy

• Health group insurance program

• Join a dynamic and highly collaborative team

• 100% Remote

**Axya is an equal opportunity employer and encourages applications from Indigenous peoples, persons with disabilities, members of visible minority groups, and women. We believe diversity drives innovation and strive to create an inclusive environment where everyone can thrive.