Job Description
Stefanini Group is hiring! Stefanini is looking for Technical Analyst-Remote
For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510 [email protected]
W2 Candidates Only
As a Contract Sr. Technical Analyst, you will be hands-on for performing technical analysis and troubleshooting on highly complex integrated systems, including diagnostic approaches, determining root causes, and identifying solutions. The technology you will work with is an AWS High-Performance Compute Platform.
Essential Responsibilities:
- This is a hands-on role. Applicants should not be managers or architects.
- Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors.
- Monitor application, production and/or implementation support, both technical and user, for new releases.
- Consult on application testing strategies, document observations and coordinate responses.
- Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation.
- Make recommendations to management regarding process improvements.
- Coordinate the information flow between business owners and development staff.
- Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely.
- Document end-user interactions into the automated call logging tools for tracking and productivity purposes.
- Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management.
Technical Skills Required:
- Kubernetes & Container Orchestration
- 5+ years of hands-on experience with Kubernetes in production environments (EKS preferred)
- Strong understanding of container runtime troubleshooting (Docker).
- High-Performance Computing (HPC)
- 3+ years of experience supporting High-Performance Computing (HPC) environments, including job schedulers and parallel computing frameworks.
- Experience integrating HPC workloads within containerized/Kubernetes environments.
- Cloud Platform - AWS
- Hands-on experience with core AWS services: EKS, EC2, S3, IAM, VPC, CloudWatch.
- Experience building and managing dashboards and alerts using CloudWatch and Container Insights.
- Familiarity with AWS cost and performance optimization practices for compute-heavy workloads.
- Observability & Monitoring
- Proven experience building observability pipelines covering metrics, logs, and traces.
- Hands-on experience with Grafana for dashboarding and visualization.
- Experience configuring alerting thresholds and health-check mechanisms for production applications.
- Data & Analytics Platform
- Working knowledge of Databricks for supporting data pipeline health, job monitoring, and troubleshooting within the application ecosystem.
- Production Support & Incident Management
- Strong experience in root cause analysis (RCA) and incident resolution in production environments.
- Comfortable working in on-call rotations with a sense of urgency for critical incidents.
- Ability to create and maintain clear runbooks and SOPs for support handoff.
- Training & Knowledge Transfer
- Experience delivering technical training sessions to both technical support staff and non-technical end users.
- Strong documentation skills - creating training guides, SOPs, and onboarding materials for new support team members.
- Comfortable conducting live walkthroughs/demos of dashboards, alerting systems, and troubleshooting workflows.
- Security & Compliance
- Understanding of security/compliance considerations in observability tooling (logging/data retention, access controls).
Soft Skills:
- Excellent verbal and written communication skills - able to train/mentor both technical and non-technical audiences.
- Patient and effective teacher/mentor, comfortable repeating/simplifying technical concepts as needed.
- Strong collaboration skills across cross-functional teams (support, platform engineering, security, end users).
- Self-starter who can work independently while also building up team capability through training.
Requirements:
- Provide hands-on production support for applications running on Kubernetes and HPC clusters, including incident triage, root cause analysis, and resolution.
- Maintain observability pipelines (metrics, logs, traces) to support the new application's operational readiness.
- Implement monitoring/alerting using tools such as Grafana, Container Insights, CloudWatch Dashboards for performance