DevSecOps Engineer

Responsibilties

• Infrastructure Leadership: Design and build major new infrastructure components and platforms to support Raya's growing needs

• Kubernetes & Container Orchestration: Lead our Kubernetes strategy, designing and implementing container orchestration solutions that optimize for various application workloads

• Performance Optimization: Design and optimize infrastructure for maximum application performance, focusing on memory management, resource allocation, network traffic optimization, and system efficiency

• Reliability Engineering: Implement SLOs, monitoring, and observability solutions to ensure high reliability of our platform

• Cloud Engineering: Apply your in-depth knowledge of AWS to design scalable, resilient architectures across multiple regions

• Incident Response: Participate in on-call rotations and lead complex infrastructure incident resolution and post-incident analysis

• System Evolution: Thoughtfully improve existing infrastructure through incremental enhancements while respecting operational constraints

• Deployment Automation: Enhance our CI/CD pipelines and deployment strategies to enable faster, safer releases

• AI-Enhanced Workflows: Integrate AI tools and capabilities into infrastructure workflows to automate complex tasks, enhance decision-making, and maximize operational efficiency

• Infrastructure Security: Collaborate with security teams to implement secure-by-design infrastructure

• Cost Optimization: Design cost-effective infrastructure solutions and implement optimization strategies

• Team Mentorship: Contribute to engineering excellence by mentoring other infrastructure engineers

Qualifications

• A BS/MS in Computer Science, Engineering, Systems Administration, or a related technical field (Professional experience can be substituted for candidates with non-engineering educational backgrounds)

• 6-8+ years of hands-on experience with infrastructure engineering, with a track record of designing and implementing scalable infrastructure solutions

• Strong expertise in Kubernetes and Docker, with experience designing and managing production container orchestration environments

• Demonstrated expertise in AWS and infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, Ansible)

• Experience with performance tuning and optimization of both infrastructure and applications

• Experience with monitoring and observability tools (Datadog, Prometheus, Grafana)

• Proficiency in scripting and automation (Python, Bash, Go, Ruby)

• Experience working with and incrementally improving established infrastructure environments

• Strong collaborative instincts, emphasizing open communication, transparency, and cross-team interaction

Desired Qualifications

• Background in SRE (Site Reliability Engineering) practices

• Experience using AI tools to enhance infrastructure workflows, automate tasks, and improve operational efficiency

• Knowledge of database administration and optimization (PostgreSQL, MongoDB, Redis, Elasticsearch)

• Experience with multi-regional/global infrastructure deployment and operations

• Track record of successfully modernizing legacy infrastructure components

• Strong understanding of Node.js performance characteristics and experience optimizing infrastructure for Node.js workloads, including memory management, CPU utilization patterns, and scaling considerations

• Proficiency in application profiling and performance analysis tools

• Experience with network infrastructure and security

• Experience with infrastructure security and compliance controls

• Understanding of cost optimization strategies in cloud environments

• Experience with service mesh technologies (Istio, Linkerd, Consul)

• Experience with other cloud platforms (GCP, Azure) in addition to AWS

• Familiarity with disaster recovery planning and implementation

What Set's You Apart

• Reliability Focus: You have a passion for building systems that are resilient, self-healing, and maintainable

• Performance Optimizer: You have a keen eye for identifying bottlenecks and optimizing system performance at all levels of the stack

• Problem Solver: You excel at diagnosing complex infrastructure issues and implementing effective solutions

• Application-Aware Infrastructure: You design infrastructure that maximizes application performance by understanding how applications actually behave in production, with particular expertise in Node.js workloads

• Pragmatic Innovator: You can balance working within existing constraints while strategically introducing improvements where they'll have the most impact

• Context Builder: You take time to understand existing systems and historical decisions before proposing changes, appreciating the journey that led to the current state

• Infrastructure Vision: You think beyond immediate needs to design infrastructure that can scale and evolve with Raya's growth

• Automation Mindset: You're driven to automate manual processes and eliminate operational toil

• AI-Powered Efficiency: You're excited about leveraging AI to amplify your capabilities, automate complex workflows, and achieve greater scale and impact in your infrastructure work

• Impact-driven: You prioritize infrastructure initiatives that maximize impact, aligning with Raya's overarching goals

• Growth-oriented: You possess a perpetual learner's mindset, open to challenges, and always seeking opportunities to expand your technical horizons