Software Architect, Reliability Engineering

Role Overview

• Partner with senior technical leaders across Twilio to set and communicate the reliability strategy, translating business goals into measurable outcomes.
• Influence company-wide architectural decisions while balancing long-term vision with near-term and compliance needs.
• Lead the design, implementation, and operation of scalable solutions and paved roads that enable reliable, high-traffic services;
• Influence company-wide architectural decisions to focus on availability, performance, resilience, and cost efficiency using Kubernetes, AWS, Terraform, and modern observability.
• Ensure integrity and quality across the service lifecycle; design fault-tolerant architectures, incident response, disaster recovery, and capacity/cost management.
• Collaborate with product and cross-functional teams to identify reliability risks and convert them into actionable designs, programs, and tooling.
• Establish and champion reliability practices and drive systemic improvements.
• Mentor and grow engineers and technical leaders
• Track and apply emerging SRE, cloud, and large-scale systems best practices; introduce pragmatic innovations that improve reliability at scale.

Requirements

• 15+ years of experience in Reliability Engineering, Software Engineering, DevOps roles with a focus on infrastructure, backend systems, and reliability, including as a principal/architect.
• Strong experience in driving strategic technical decisions and defining long-term technical vision.
• In-depth understanding of the role of Reliability Engineering in a large and diverse SaaS organization.
• Experience driving cross-org technical architecture outcomes.
• Knowledge of cloud architecture, devops practices, and large-scale systems design with microservices.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Strong production experience, including operational management, scaling, partitioning strategies, and tuning for performance and reliability in high-scale environments.
• Hands-on experience with Kubernetes (e.g., EKS), deploying and managing stateful services, and cloud services like AWS.
• Proficiency in infrastructure-as-code tools such as Terraform or CloudFormation for automating infrastructure.
• Expertise in observability tools (e.g., Prometheus, Grafana, Datadog) for monitoring distributed systems and setting up alerting.
• Proficient in at least one programming language (e.g., Go, Python, Java) for building automation and tooling.
• Experience designing incident response processes, SLOs/SLIs, runbooks, and participating in on-call rotations.
• Experience running cross-functional post-incident reviews and driving improvements.
• Strong understanding of distributed systems principles, including consensus, durability, throughput, and availability tradeoffs.
• Proven track record of leading reliability improvements in data-intensive or mission-critical systems and collaborating with engineering teams.
• Excellent problem-solving, analytical, verbal, and written communication skills, with the ability to work in cross-functional and distributed environments.
• Demonstrated leadership in mentoring teams, influencing decisions, and balancing long-term objectives with short-term needs.
• Ability to influence and build effective working relationships with all levels of the organization.

Tech Stack

• AWS
• Cloud
• Distributed Systems
• Grafana
• Java
• Kubernetes
• Microservices
• Prometheus
• Python
• Terraform
• Go

Benefits

• health care insurance
• 401(k) retirement account
• paid sick time
• paid personal time off
• paid parental leave