Technical Operations Lead

Karsun Solutions, LLC; West Virginia; On-site; USD 160,000 - 175,000; Full time

Job summary

Karsun Solutions, LLC is seeking an experienced leader to own technical operations for a cloud-native AWS data and AI platform supporting a federal program. You will oversee reliability, observability, incident response, platform engineering, and data-product operationalization.

You will partner with SRE and Data teams to design standards, implement IaC, CI/CD, and monitoring across ETL/ELT, data lakes, and model serving, while ensuring security and compliance for federal environments.

Qualifications

• 10+ years of IT work experience.
• 7+ years in technical operations / platform / SRE; 3+ years in AWS production.
• Experience with data products, SLAs, data lineage, and consumer contracts.
• Experience operating data platforms: Databricks, Airflow, S3, Kafka/Kinesis.
• Strong SRE practice knowledge: SLIs/SLOs, incident response, runbooks.
• Hands-on with observability tools: Prometheus, Datadog, OpenTelemetry; log tracing.
• Familiar with IaC (Terraform or CloudFormation) and CI/CD (GitHub Actions/Jenkins/ArgoCD); Kubernetes; scripting (Python, Bash).
• Security and compliance in federal environments (RBAC, encryption, secrets management).
• Excellent written and verbal communication; ability to produce runbooks and RCA reports.

Responsibilities

• Serve as primary technical owner for platform availability and runbooks for data pipelines and model serving.
• Design and operationalize SRE practices (SLIs/SLOs/SLAs, toil reduction) with the SRE Lead.
• Build and maintain monitoring, alerting, and observability across data and AI stacks.
• Lead incident management: on-call rotations, RCA, remediation tracking, and improvements.
• Automate deployments, scaling, and recovery using IaC and CI/CD pipelines; reduce toil.
• Define runbooks, backup/restore, RTO/RPO, and disaster recovery for data/ML systems.
• Ensure production readiness, access controls, and federal compliance in collaboration with stakeholders.
• Manage capacity planning, cost optimization, and performance tuning of AWS resources.
• Mentor and lead an ops/SRE team; coordinate cross-functional platform changes.

Skills

Platform operations

SRE practices

Observability tooling

AWS experience

CI/CD pipelines

IaC

Kubernetes

Python scripting

Security & compliance

Tools

Terraform

CloudFormation

GitHub Actions

Jenkins

ArgoCD

Kubernetes

OpenTelemetry

Datadog

Prometheus

Airflow

Databricks

SageMaker

Job description

Why Karsun?

Join Karsun Solutions to grow your career with the company transforming possible for the US Government.

At Karsun, collaboration drives our community. We're committed to building an environment where team members from diverse backgrounds can innovate, learn and grow with us. Here at Karsun, the only limit to your potential is the limit of your curiosity.

Join Team Karsun, and Find Your Next!

Summary

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.

What You'll Be Doing:

• 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.

Required Qualifications:

• 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.

Preferred Qualifications:

• 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.

Things to Know:

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Salary Range

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.

Third Party Resumes:

Karsun does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Karsun and Karsun will not be obligated to pay a placement fee.

Clearance Information

This position requires the eligibility to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website:https://www.state.gov/m/ds/clearances/c10978.htm

Location

To be considered for this role, you must reside in one of the following states: CA, CO, DC, FL, GA, IL, MD, NJ, NY, NC, OH, OK, PA, SC, TX, VA.

Work Authorization

Applicants must be authorized to work in the U.S.

Statement on AI and Hiring Process

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.