DevSecOps Engineer

Raya; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Raya is seeking a seasoned Infrastructure Engineer to design and lead scalable cloud platforms. You will own Kubernetes orchestration, AWS architectures, and CI/CD enhancements to support rapid product development.

You will mentor team members, implement observability with Datadog/Prometheus, and drive cost optimization while maintaining reliability and security.

This role demands hands-on leadership across multi-region deployments, IaC tooling, and collaboration with security and software teams.

Qualifications

• 6-8+ years hands-on infrastructure engineering experience.
• Proven ability to design scalable, production-ready infrastructure.
• Strong Kubernetes and Docker expertise.
• Experience with AWS and IaC tools.
• Proficiency in scripting (Python, Bash, Go, Ruby).

Responsibilities

• Design and build major new infrastructure components and platforms for Raya.
• Lead our Kubernetes strategy and production orchestration.
• Optimize infrastructure for performance and resource efficiency.
• Implement SLOs, monitoring, and observability.
• Design scalable AWS architectures across regions.
• Participate in on-call rotations and lead incident resolution.
• Improve existing infrastructure with incremental enhancements.
• Enhance CI/CD pipelines for faster, safer releases.
• Integrate AI tools into infrastructure workflows.
• Collaborate on security to enforce secure-by-design infra.
• Design cost-effective infrastructure and optimization strategies.
• Mentor other infrastructure engineers.

Skills

Kubernetes

Docker

AWS

Python

Go

SRE

Node.js

Education

BS/MS in Computer Science, Engineering, Systems Administration, or related field

Tools

Terraform

CloudFormation

Pulumi

Ansible

Datadog

Prometheus

Grafana

Istio

Linkerd

Consul

Job description

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.