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.
Job Requirements
Details:
Technical Skills Required:* Kubernetes & Container Orchestrationo 5+ years of hands-on experience with Kubernetes in production environments (EKS preferred)
o Strong understanding of container runtime troubleshooting (Docker).
* High-Performance Computing (HPC)o 3+ years of experience supporting High-Performance Computing (HPC) environments, including job schedulers and parallel computing frameworks.
o Experience integrating HPC workloads within containerized/Kubernetes environments.
* Cloud Platform - AWSo Hands-on experience with core AWS services: EKS, EC2, S3, IAM, VPC, CloudWatch.
o Experience building and managing dashboards and alerts using CloudWatch and Container Insights.
o Familiarity with AWS cost and performance optimization practices for compute-heavy workloads.
* Observability & Monitoringo Proven experience building observability pipelines covering metrics, logs, and traces.
o Hands-on experience with Grafana for dashboarding and visualization.
o Experience configuring alerting thresholds and health-check mechanisms for production applications.
* Data & Analytics Platformo Working knowledge of Databricks for supporting data pipeline health, job monitoring, and troubleshooting within the application ecosystem.
* Production Support & Incident Managemento Strong experience in root cause analysis (RCA) and incident resolution in production environments.
o Comfortable working in on-call rotations with a sense of urgency for critical incidents.
o Ability to create and maintain clear runbooks and SOPs for support handoff.
* Training & Knowledge Transfero Experience delivering technical training sessions to both technical support staff and non-technical end users.
o Strong documentation skills - creating training guides, SOPs, and onboarding materials for new support team members.
o Comfortable conducting live walkthroughs/demos of dashboards, alerting systems, and troubleshooting workflows.
* Security & Complianceo 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 and health visibility.
- Troubleshoot issues across Kubernetes clusters and HPC job in Collaboration with application, infrastructure, and platform engineering teams
- Participate in on-call rotations and respond to production incidents with a sense of urgency
- Document runbooks, troubleshooting guides, and standard operating procedures (SOPs) for support teams.
- Partner with security and compliance teams to ensure observability practices align with governance, risk, and regulatory standards.
- Train and mentor support team members on Kubernetes/HPC troubleshooting, observability tools, and incident response procedures.
- Create training materials, how-to guides, and FAQs to enable self-sufficiency for both end users and support staff.
- Ability to perform involved, independent research and develop highly creative work products and proposals.
- Demonstrate a high degree of creativity in addressing problems/issues and opportunities.
- Demonstrated concentration on customer service orientation.
- Ability to work effectively in a highly matrix or virtual organization.
- Strong verbal and written communication skills with an ability to present/facilitate effective training sessions.
- Strong experience in Agile delivery, requirements engineering, backlog development and refinement.
- Strong experience in stakeholder engagement.
- Experience working with distributed teams, and providers of software solutions.
- Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions.
- Strong experience working in Agile environment/SAFe framework and Agile management tools like Jira.
- Excellent analytical and design skills.
- Must be willing to be on call periodically from 8am-2pm ET or 2pm-8pm ET Monday through Friday.
#LI-SS3#LI-REMOTEPay Range:
$ 110.00 - $ 118.00
