AWS Data & AI Platform Reliability Lead

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

Job summary

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

You will collaborate with the SRE Lead to implement SRE practices, design monitoring and runbooks, and automate deployments using IaC and CI/CD pipelines.

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.

Responsibilities

• 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.

Skills

Platform SRE

AWS

Databricks

Airflow

SLI/SLO design

Observability

Prometheus

Datadog

OpenTelemetry

Terraform

CloudFormation

GitHub Actions

Jenkins

ArgoCD

Kubernetes

EKS

Python

Bash

RBAC

Encryption

Secrets management

Tools

Databricks

Airflow

S3

Kafka/Kinesis

Prometheus

Datadog

OpenTelemetry

Terraform

CloudFormation

GitHub Actions

Jenkins

ArgoCD

Kubernetes

EKS

Python

Bash

RBAC

Encryption

Secrets management

Job description

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

You will collaborate with the SRE Lead to implement SRE practices, design monitoring and runbooks, and automate deployments using IaC and CI/CD pipelines.