Senior Site Reliability Engineer (AI)

Location: Hybrid role based in Arlington, VA, United States

Base salary: $160,000–$200,000 per year, plus eligible performance bonuses and stock options.

Company

hirify.global is an AI and optimization company building software for complex operational environments, including cloud-native platforms, computer vision, natural language processing, data infrastructure, secure collaboration, and mission-focused AI/ML applications.

What you will do

• Design, deploy, and maintain secure, scalable, highly available AWS infrastructure using Terraform and reusable infrastructure patterns.
• Improve CI/CD pipelines, deployment automation, infrastructure validation, rollback procedures, and operational automation.
• Build production observability with Datadog, including metrics, logs, dashboards, monitors, APM, and distributed tracing; define SLIs, SLOs, and error budgets.
• Participate in on-call rotations, lead technical investigations and major incident response, conduct blameless postmortems, and maintain runbooks and recovery playbooks.
• Operate and improve AWS relational databases, including Aurora and RDS, backups, restores, replication, failover, migrations, and point-in-time recovery.
• Partner with backend, AI/ML, security, and software engineering teams on resilient architecture, capacity planning, deployment safety, disaster recovery, and operational standards; mentor engineers.

Requirements

• 5+ years of hands-on experience operating production systems on AWS, with responsibility for the reliability, security, and availability of business-critical applications.
• Experience in SRE, platform engineering, or DevOps supporting mission-critical systems serving thousands of users or operating under similarly demanding reliability requirements.
• Strong AWS experience with networking, VPCs, IAM, KMS, Secrets Manager, SQS, Lambda, and production cloud architecture.
• Advanced Terraform experience covering module design, state management, reusable infrastructure patterns, and safe production changes.
• Hands-on experience with production monitoring, logging, distributed tracing, dashboards, and alerting using Datadog or a comparable platform; experience with SLIs, SLOs, error budgets, and actionable alerting.
• Experience with on-call rotations, high-severity incident troubleshooting, technical incident coordination, corrective actions, and postmortems.
• Strong experience operating AWS relational databases, including RDS or Aurora, backup and restore, point-in-time recovery, replication, failover, and production migrations.
• Strong understanding of distributed architectures, networking, failure modes, scalability, and production performance troubleshooting.
• Experience with CI/CD, deployment automation, release safety, rollback strategies, and operational readiness.
• Proficiency in Python, Go, Bash, or another programming or scripting language used for infrastructure and operational automation, plus strong technical judgment, communication, ownership, and independent problem-solving.

Nice to have

• Experience with Aurora or RDS MySQL, cross-region disaster recovery, automated failover, multi-region architectures, database performance tuning, replication, schema migrations, and zero-downtime deployments.
• Experience as an incident commander and with Datadog APM, logging, metrics, dashboards, and monitors.
• Experience with Docker, Kubernetes, ECS, EKS, blue-green deployments, canary releases, automated rollback, performance testing, load testing, chaos engineering, or fault injection.
• Experience supporting government, defense, highly regulated, real-time, secure communications, AI/ML, or data-intensive applications.
• Familiarity with AWS Organizations, multi-account infrastructure, least-privilege access controls, infrastructure security, FedRAMP, NIST 800-53, DoD security requirements, or AWS GovCloud.
• Experience establishing reliability practices or SRE processes across multiple engineering teams and active or previous U.S. government security clearance.

Culture & Benefits

• Hybrid work based in Arlington, VA, United States.
• Health, dental, and vision coverage for eligible employees.
• Performance bonus opportunities and stock options.
• Flexible work environment with significant technical ownership and influence over product and architecture decisions.
• Collaboration across AI/ML, distributed systems, computer vision, audio, NLP, navigation, optimization, and real-time infrastructure.
• Legal authorization to work in the United States and ability to obtain and maintain a U.S. government security clearance are required. Additional eligibility verification may apply.