Senior Cloud Systems Engineer

Seneca Resources
Reston, VA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Data Analysis Systems Engineering Microsoft Azure Bash Shell Databases DevOps Python (Programming Language) Nagios Performance Tuning Ansible
+17 more
Prometheus Runbook Software Engineering Web Applications Web Application Frameworks Data Logging Google Cloud Cloud Platform System Grafana Backend Containerization Kubernetes Deployment Automation Performance Monitor Front End Software Development Splunk Elk Stack

Job description

Tier 4 Escalation & Advanced Troubleshooting: Serve as the highest escalation point for critical and complex web application incidents, performing in-depth analysis, root cause identification, and implementing effective resolutions to minimize downtime and prevent recurrence. Web Application Subject Matter Expertise: Develop and maintain comprehensive expertise in the web application’s architecture, components, dependencies, and operational behavior within the deployment environment. Problem Management & Prevention: Lead efforts in post-incident reviews, identifying underlying issues, and driving the implementation of permanent solutions and preventative measures to enhance application reliability and stability. Collaboration & Knowledge Transfer: Work closely with Operations, On-site DevOps, and Development teams to facilitate efficient incident response, share expert knowledge, and contribute to the continuous improvement of operational processes and application design. Deployment Environment Support: Troubleshoot and resolve issues related to the web application’s deployment within its environment, encompassing infrastructure, networking, and related services. Kubernetes Troubleshooting: Utilize existing Kubernetes knowledge or rapidly acquire proficiency to diagnose and resolve application issues within containerized environments, understand deployment strategies, and assist with related infrastructure challenges. Documentation & Best Practices: Create and maintain detailed troubleshooting guides, runbooks, knowledge base articles, and technical documentation to empower other support tiers and foster a culture of shared knowledge. Performance Monitoring & Optimization: Proactively monitor application performance, identify bottlenecks, and recommend architectural or configuration changes to optimize efficiency, scalability, and resilience. Continuous Improvement: Champion initiatives to enhance the application’s operational excellence, including automation, improved monitoring, and streamlined deployment practices.

Requirements

Proven experience as a Systems Engineer, Application Engineer, or similar role with a strong focus on supporting and troubleshooting complex web applications. Demonstrated Subject Matter Expertise in a critical web application, including its full stack (front-end, back-end, database, APIs). Extensive experience in incident management and problem resolution at a Senior escalation level. Strong understanding of web application architecture, performance tuning, and security best practices. Experience working with and troubleshooting applications in modern deployment environments. Familiarity with containerization technologies, specifically Kubernetes, or a strong aptitude and willingness to learn and apply it for troubleshooting and operational tasks. Proficiency with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK Stack, Splunk). Exceptional analytical, problem-solving, and critical thinking skills with a methodical approach to complex issues. Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Ability to work effectively under pressure, prioritize tasks, and manage multiple concurrent issues.

Nice to Have Qualifications Experience with specific web application frameworks or technologies relevant to our stack. Certifications in cloud platforms (e.g., AWS, Azure, GCP) or Kubernetes (e.g., CKA, CKAD). Experience with scripting and automation (e.g., Python, Bash, Ansible). Prior experience in a government or highly regulated environment.

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