Technical Analyst

Stefanini Group•San Francisco, CA

4d•Remote

About The Position

Stefanini Group is hiring a remote Technical Analyst for a W2 contract role. The position provides hands-on technical analysis and troubleshooting for highly complex integrated systems on an AWS High-Performance Compute Platform. The role is explicitly not intended for managers or architects. The analyst provides production support for applications running on Kubernetes and HPC clusters, including incident triage, root-cause analysis, resolution, monitoring, and operational readiness. The work includes maintaining observability pipelines and monitoring systems, coordinating with application, infrastructure, platform engineering, security, and compliance teams, and documenting runbooks and support procedures. The position also involves training and mentoring technical support staff and end users, preparing training and onboarding materials, and facilitating walkthroughs of dashboards, alerting systems, and troubleshooting workflows. The analyst works with stakeholders and distributed teams in an Agile environment and may participate in weekday on-call rotations.

Requirements

At least 5 years of hands-on Kubernetes experience in production environments; EKS is preferred.
Strong understanding of Docker container-runtime troubleshooting.
At least 3 years of experience supporting High-Performance Computing environments, including job schedulers and parallel computing frameworks.
Experience integrating HPC workloads within containerized or Kubernetes environments.
Hands-on experience with AWS EKS, EC2, S3, IAM, VPC, and CloudWatch.
Experience building and managing dashboards and alerts using CloudWatch and Container Insights.
Familiarity with AWS cost and performance optimization for compute-heavy workloads.
Proven experience building observability pipelines for metrics, logs, and traces.
Hands-on Grafana dashboarding and visualization experience.
Experience configuring alert thresholds and health-check mechanisms for production applications.
Working knowledge of Databricks for data pipeline health support, job monitoring, and troubleshooting.
Strong production incident management, root-cause analysis, and incident-resolution experience.
Ability and willingness to participate in on-call rotations and respond urgently to critical incidents.
Experience creating and maintaining runbooks and standard operating procedures.
Experience delivering technical training to technical support staff and non-technical end users.
Strong documentation skills, including training guides, SOPs, and onboarding materials.
Understanding of security and compliance considerations in observability tooling, including logging, data retention, and access controls.
Excellent verbal and written communication skills, including the ability to present and facilitate training sessions.
Patient and effective teaching and mentoring skills, with the ability to simplify technical concepts as needed.
Strong collaboration skills across support, platform engineering, security, and end-user teams.
Ability to work independently and build team capability through training.
Strong experience in Agile delivery, requirements engineering, backlog development and refinement, and stakeholder engagement.
Experience working in Agile and SAFe environments and with Agile management tools such as Jira.
Experience working with distributed teams and software solution providers.
Broad knowledge of application and data modeling techniques and the ability to identify root causes and appropriate solutions.
Excellent analytical and design skills, customer-service orientation, and ability to work effectively in a highly matrixed or virtual organization.
Willingness to be on call periodically during 8 a.m.–2 p.m. ET or 2 p.m.–8 p.m. ET, Monday through Friday.
W2 candidates only.

Nice To Haves

EKS experience is preferred.

Responsibilities

Provide hands-on production support for applications running on Kubernetes and HPC clusters, including incident triage, root-cause analysis, and resolution.
Provide primary technical support to end users for software, data, data communication, and processing issues.
Monitor applications and provide technical and user support for new releases and implementations.
Maintain observability pipelines covering metrics, logs, and traces.
Implement and maintain monitoring, dashboards, alerts, and health checks using tools such as Grafana, CloudWatch Dashboards, and Container Insights.
Troubleshoot Kubernetes cluster and HPC job issues in collaboration with application, infrastructure, and platform engineering teams.
Participate in on-call rotations and respond urgently to production incidents.
Document runbooks, troubleshooting guides, standard operating procedures, support handoffs, and end-user interactions.
Consult on application testing strategies, document observations, and coordinate responses.
Maintain project and application information, including schedules, system scope, requirements, and related documentation.
Coordinate information flow between business owners and development staff, and coordinate tasks, functional reviews, and application development sessions.
Validate proposed technical approaches to system or application problem logs and make recommendations to management.
Make recommendations to management regarding process improvements.
Partner with security and compliance teams to align observability practices with governance, risk, and regulatory standards.
Train and mentor support team members on Kubernetes and HPC troubleshooting, observability tools, and incident response procedures.
Create training materials, how-to guides, FAQs, and onboarding materials for end users and support staff.
Conduct live walkthroughs and demonstrations of dashboards, alerting systems, and troubleshooting workflows.
Engage stakeholders and work with distributed teams and software solution providers in Agile delivery.
Perform independent research and develop creative work products and proposals.