Technical Operations Lead (AWS/AI)

Location: Herndon, Virginia, United States. Candidates must reside in one of these states: CA, CO, DC, FL, GA, IL, MD, NJ, NY, NC, OH, OK, PA, SC, TX, or VA. Applicants must be authorized to work in the U.S.

Salary: $160,000–$175,000 USD per year

Company

hirify.global develops technology solutions for the U.S. Government.

What you will do

• Own platform availability, reliability, operational runbooks, and production readiness for data pipelines, feature stores, model serving, and supporting infrastructure.
• Design and operationalize SRE practices, including SLIs, SLOs, SLAs, error budgets, toil reduction, incident response, root-cause analysis, and remediation tracking.
• Build monitoring, alerting, and observability across data and AI systems using metrics, distributed tracing, and centralized logging.
• Automate deployments, scaling, recovery, backup, restore, and disaster recovery using infrastructure as code and CI/CD pipelines.
• Manage AWS capacity, cost optimization, performance tuning, vendor integrations, upgrades, and patching under federal change-control processes.
• Lead and mentor an operations/SRE team while coordinating with data product owners, ML engineers, security, compliance, and stakeholders.

Requirements

• 10+ years of directly relevant IT experience, including 7+ years in technical operations, platform engineering, or SRE and 3+ years in AWS production environments.
• Experience operating data platforms such as Databricks, Airflow, S3, Kafka, and Kinesis, with knowledge of data lineage, stewardship, SLAs, and consumer contracts.
• Strong SRE, incident response, runbook, chaos testing, observability, logging, and distributed tracing experience.
• Hands-on experience with Terraform or CloudFormation, CI/CD, EKS/Kubernetes, Python, and Bash.
• Security and compliance experience in federal environments, including RBAC, encryption, and secrets management.
• Ability to obtain and maintain a Public Trust clearance and authorization to work in the U.S. is required.

Nice to have

• AWS Certified Solutions Architect – Associate certification.
• Experience with MLOps tools such as SageMaker and Databricks, feature stores, and large-scale AWS data or ML workload governance.
• Experience transitioning teams from DevOps to SRE and driving organizational change.
• Familiarity with federal program processes, change control, and procurement cycles.

Culture & Benefits

• Collaborative environment focused on innovation, learning, and professional growth.
• Work supporting a federal government data and AI program.
• Human-led hiring process without automated AI-based candidate screening or decisions.