Site Reliability Engineer

Alvaria Inc• TX, US, TX

About The Position

We are seeking a Site Reliability Engineer to help build and operate reliable, secure, and efficient cloud services. In this role, you will combine software engineering and systems expertise to improve availability, performance, scalability, observability, and operational readiness across our SaaS platforms. This person will partner closely with application engineering, platform, security, and product teams to define service-level objectives, automate repetitive work, strengthen incident response, and design systems that remain resilient as they scale. The ideal candidate is a pragmatic problem-solver who measures what matters, learns from failures, and improves systems through automation rather than manual intervention.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
4–5+ years of experience in site reliability engineering, DevOps, platform engineering, cloud operations, or production software engineering
Hands-on experience operating production workloads in AWS; comparable experience with Azure or GCP is also valuable
Proficiency in at least one programming or scripting language such as Python, Go, TypeScript/JavaScript, or C#
Experience with infrastructure as code and configuration automation, such as AWS CDK, CloudFormation, Terraform, or similar tools
Experience building or supporting CI/CD pipelines and source-control workflows, preferably with GitHub and GitHub Actions
Working knowledge of Linux, networking, DNS, load balancing, firewalls, certificates, and common distributed-systems failure modes
Experience with observability and monitoring tools such as Datadog, Grafana, CloudWatch or equivalent platforms
Understanding of incident management, root-cause analysis, and blameless post-incident practices
Strong troubleshooting, documentation, collaboration, and communication skills

Nice To Haves

Experience with containerized or serverless architecture, including Kubernetes, Docker, AWS Lambda, or related technologies
Experience with AWS services such as API Gateway, CloudFront, S3, IAM, WAF, DynamoDB, Aurora, EventBridge, SQS, Kinesis, Cognito, VPC, Route 53, and Secrets Manager
Experience designing multi-region systems, disaster recovery strategies, backup and restoration processes, and business-continuity controls
Experience with performance testing, capacity planning, chaos engineering, or reliability testing
Familiarity with security, privacy, audit, and compliance requirements for enterprise SaaS products
Experience supporting data-intensive, real-time, or high-volume enterprise applications
Experience mentoring engineers or leading cross-team reliability initiatives

Responsibilities

Design, build, and operate highly available, scalable, and secure production services and cloud infrastructure
Partner with engineering teams to define and maintain service-level indicators (SLIs), service-level objectives (SLOs), error budgets, and actionable alerts
Build automation and self-service tooling that reduces toil, accelerates safe delivery, and improves operational consistency
Improve observability through meaningful metrics, logs, distributed tracing, dashboards, synthetic checks, and health monitoring
Participate in an on-call rotation and lead or support incident response, communication, mitigation, and recovery
Facilitate blameless post-incident reviews and ensure corrective actions address systemic causes
Improve CI/CD pipelines using automated validation, deployment health gates, progressive delivery, canary releases, and reliable rollback strategies
Review system designs for reliability, performance, capacity, security, recoverability, and cost efficiency
Strengthen resilience through redundancy, autoscaling, fault-tolerant patterns, disaster recovery planning, and appropriate load or chaos testing
Troubleshoot complex issues across applications, infrastructure, networking, databases, and third-party dependencies
Develop and maintain runbooks, operational standards, architectural documentation, and support procedures
Collaborate across teams and time zones while clearly communicating risk, trade-offs, incident status, and reliability priorities