Staff Engineer, Platform Engineering & Operational Health

About the Team

At AudioEye, we believe access to digital content is a fundamental right, not a privilege. Our mission is clear: eliminate every barrier to digital accessibility so that everyone, regardless of ability, can experience the web without limitations.

We are a team of passionate problem-solvers who are driven by purpose and impact. Every challenge we tackle moves us closer to a future where creating accessible experiences is the standard. If you’re looking for meaningful work where you can drive real change, influence how people with disabilities experience the internet, and be part of a mission that matters, AudioEye is the place for you.

About the Role

AudioEye is seeking a Staff-level Software Engineer to join the Platform Engineering team with a deep focus on operational health and reliability. The primary mission is to diagnose and fix foundational issues that cause incidents, slow down deployments, and burden on-call engineers. This role requires someone who thinks like an SRE, operates like a systems engineer, and builds like a software engineer, identifying root causes of operational pain and implementing systemic solutions. The successful candidate will own the technical strategy for our operational posture, set reliability standards, mentor peers in operational thinking, and drive architectural decisions with company-wide impact.

This is not a full-time on-call position. This is a strategic platform engineering role focused on making on-call sustainable and incidents rare.

How you’ll Contribute: 

• Conduct comprehensive audits of infrastructure, deployment processes, incident patterns, and on-call burden
• Identify foundational issues causing operational pain: fragile systems, deployment friction, poor observability, and architectural weaknesses
• Establish baseline metrics for system health and operational efficiency
• Prioritize improvements systematically based on impact to on-call burden and reliability
• Design and implement solutions that address the root causes of incidents
• Eliminate single points of failure in critical paths
• Implement patterns for graceful degradation and rapid recovery
• Build comprehensive observability, logging, metrics, and tracing infrastructure
• Identify and automate repetitive manual work that burdens operational staff
• Establish organizational standards and expectations for reliability
• Design and maintain runbooks, playbooks, and incident response processes
• Create feedback loops from incidents to systemic improvements
• Support CI/CD pipelines that enable safe, frequent deployments
• Develop operational tooling (dashboards, alerts, automation)
• Reduce friction in how engineers interact with infrastructure and deploy code
• Scale infrastructure responsibly as the organization grows
• Optimize platform reliability, performance, and cost through capacity planning, workload tuning, and architectural tradeoffs
• Own the technical strategy and roadmap for infrastructure, reliability, and operational posture
• Mentor engineers across the organization on operational thinking and reliability engineering
• Lead architecture reviews and establish technical standards
• Build organizational practices and knowledge that outlast any single engineer

Who you are: 

• 5–8+ years of software engineering experience with demonstrated expertise in infrastructure, operations, reliability engineering, or SRE
• Staff-level technical depth with ownership of significant platform decisions at scale
• Proven ability to manage complex trade-offs and defend technical direction
• Experience carrying the pager; understanding of on-call burden from lived experience
• Demonstrated pattern recognition; ability to design systemic solutions rather than one-off fixes
• Expert-level infrastructure-as-code (Terraform); comfortable with complex multi-environment deployments
• Docker and container orchestration expertise (Kubernetes or similar); experience designing or improving deployment pipelines
• Deep familiarity with Node.js and TypeScript in production environments
• Substantial AWS experience (EC2, RDS, Lambda, CloudWatch, VPC, load balancers, auto-scaling, managed services)
• Understanding of AWS architecture patterns and cost optimization
• Proficiency in scripting/automation languages (Python, Go, Bash); ability to write maintainable, scalable automation
• Hands-on experience designing and implementing comprehensive monitoring, logging, metrics collection, and distributed tracing
• Ability to instrument systems for visibility and rapid diagnosis
• Experience optimizing systems at scale and handling growth challenges
• Strategic thinking about capacity planning, resource requirements, and cost management
• Understanding of relational databases, including performance considerations and optimization
• Knowledge of networking concepts, caching patterns, and load balancing strategies
• Understanding of distributed systems concepts and failure modes
• Comfortable with AI/LLM tools (Claude, ChatGPT, Cursor, etc.) and uses them effectively in day-to-day work
• Ability to validate AI/LLM output and use it as a jump-off point (ask better questions, iterate, and verify with real evidence)
• Experience experimenting with AI for infrastructure automation, code generation, and problem-solving
• Proactive thinking about how AI can accelerate platform engineering work
• Experience leading the design of resilient systems and conducting architecture reviews
• Proven ability to elevate other engineers' capabilities and establish technical standards
• Strong communication skills; able to explain technical complexity to diverse audiences
• Ability to write clear ADRs and technical documentation that guides future decisions
• Demonstrated ability to influence technical direction without formal authority