Technical Operations Lead

This individual will lead technical operations for a cloud-native (AWS) data and AI platform supporting a federal program; own reliability, observability, incident response, platform engineering, and data-product operationalization., * Serve as primary technical owner for platform availability, reliability, and operational runbook development for data pipelines, feature stores, model serving, and supporting infrastructure.

• Work closely with the SRE Lead to design and operationalize SRE practices (SLIs/SLOs/SLAs, error budgets, toil reduction) to transition teams from DevOps to SRE.
• In collaboration with SRE Lead, build and maintain monitoring, alerting, and observability across data and AI stacks (ETL/ELT, data lakes/warehouses, model training & serving), including metrics, distributed tracing, and centralized logging.
• Lead incident management: on-call rotations, incident response, RCA, remediation tracking, and continuous improvement.
• In collaboration with SRE Lead, automate operational workflows (deployments, scaling, recovery) using IaC (Terraform/CloudFormation) and CI/CD pipelines; reduce manual operational toil.
• Define and enforce runbooks, backup/restore, RTO/RPO, and disaster recovery for data and ML systems.
• Partner with data product owners, ML engineers, security, and compliance to ensure production readiness, access controls, and federal compliance requirements.
• Manage capacity planning, cost optimization, and performance tuning of AWS resources for data and ML workloads.
• Mentor and lead an ops/SRE team; set technical priorities and coordinate cross-functional platform changes.
• Maintain vendor and third-party integrations and coordinate upgrades/patching under federal change-control processes.
• Track and report reliability metrics and operational maturity improvements to stakeholders
• Ability to obtain and maintain a Public Trust clearance.

• 10+ years of directly relevant IT work experience.
• 7+ years technical operations / platform / SRE experience supporting data-intensive systems; 3+ years in AWS production environments.
• Deep understanding of data products and product ownership: data lineage, stewardship, SLAs, and consumer contracts.
• Proven experience operating data platforms: Databricks, Airflow, S3, Kafka/Kinesis, Airflow.
• Strong SRE practice knowledge: SLI/SLO design, incident response, runbooks, chaos/failure-mode testing.
• Hands-on with observability tooling (Prometheus, Datadog, OpenTelemetry) and log/tracing systems.
• Familiar with IaC (Terraform or CloudFormation), CI/CD (GitHub Actions/Jenkins/ArgoCD), container orchestration (EKS/Kubernetes), and scripting (Python, Bash).
• Solid security and compliance experience for federal environments (RBAC, encryption, secrets management).
• Excellent written and verbal communication; ability to produce clear runbooks, RCA reports, and brief leadership., * AWS Certified Solutions Architect - Associate (desirable).
• Prior experience with ML lifecycle/MLOps tooling (SageMaker, Databricks) and feature stores.
• Experience migrating teams from DevOps to SRE and driving organizational change.
• Experience with cost optimization and governance of large AWS data/ML workloads.
• Familiarity with federal program processes, change control, and procurement cycles., Applicants must be authorized to work in the U.S.

The proposed salary range for this role is $160,000 to $175,000 USD. The salary range provided is a good faith estimate representative of all experience levels. Karsun considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.