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., At Karsun, we are committed to a fair and equitable hiring process. We do not use artificial intelligence to make decisions on candidates, scan resumes, or source potential hires. Applicants are reviewed by our talent acquisition team and hiring managers to ensure a thorough evaluation based on skills, experience, and alignment with our company values. Our hiring decisions are made with human judgement, ensuring fairness and transparency throughout the process.

• 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.