DevSecOps Engineer Engineering

Raya; United States; Remote; USD 170,000 - 210,000; Full time

Benefits offered by this job

Unlimited vacation

$1,000 a year to go somewhere in the世界

$1k to go somewhere in the world that

Job summary

Raya is seeking an experienced Infrastructure Engineer to design and scale our global platform. You will own Kubernetes, Docker, and AWS-based infrastructure, drive performance optimizations, and sharpen reliability through SLOs, monitoring, and incident response.

You will mentor engineers, advance CI/CD, and explore AI-enabled workflows to automate complex tasks while ensuring cost efficiency and multi-region resilience.

Qualifications

• 6-8+ years of hands-on infrastructure engineering experience.
• Proven ability to design and implement scalable, multi-region infrastructure.
• Strong expertise in Kubernetes and Docker for production environments.
• Experience with AWS and infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, Ansible).
• Performance tuning and optimization for infrastructure and applications.
• Experience with monitoring/observability tools (Datadog, Prometheus, Grafana).
• Scripting and automation skills (Python, Bash, Go, Ruby).
• Background in SRE practices and reliability-focused design.

Responsibilities

• Design and build major new infrastructure components and platforms to support Raya's growing needs.
• Lead Kubernetes strategy and container orchestration for diverse workloads.
• Design and optimize infrastructure for maximum performance, memory management and efficient resource use.
• Implement SLOs, monitoring, and observability for high platform reliability.
• Apply in-depth AWS knowledge to multi-region, scalable architectures.
• Participate in incident response, on-call rotations, and post-incident analyses.
• Improve existing infrastructure through incremental, operations-friendly enhancements.
• Enhance CI/CD pipelines and deployment strategies for faster, safer releases.
• Integrate AI tools into infrastructure workflows to automate tasks and improve efficiency.
• Collaborate with security teams to ensure secure-by-design infrastructure.
• Design cost-effective solutions and implement optimization strategies.
• Mentor other infrastructure engineers to elevate engineering excellence.

Skills

Kubernetes

Docker

SRE practices

Python

Bash

Go

Ruby

Education

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

Tools

AWS

Terraform

CloudFormation

Pulumi

Ansible

Datadog

Prometheus

Grafana

Node.js

Istio

Linkerd

Consul

Job description

Your choice of Uber Eats, Grubhub, or Doordash.

Unlimited vacation

$1,000 a year to go somewhere in the world

$1k to go somewhere in the world that you’ve never been.

12 weeks paid parental leave

Three months off - fully paid - for all new parents.

Learning opportunities

Raya’s team includes a lot of amazing people with diverse backgrounds.

• 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
• 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
• 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
• 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