Site Reliability Engineer || Remote || Contract

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

API
Amazon Web Services
AppDynamics
Cloud Architecture
Cloud Computing
Collaboration
Command-line Interface
Communication
Computer Networking
Conflict Resolution
Continuous Delivery
Continuous Integration
Continuous Integration and Development
Database
Debugging
High Availability
Java
Kubernetes
Management
Microsoft Azure
Software Architecture
Network Protocols
Performance Monitoring
Problem Solving
Python
Scalability
Software Engineering
Software Management
Splunk
System Administration
Telecommunications

Job Details

Role- Site Reliability Engineer

Experience- 8 Years

Location: Remote

Job Type- Contract

Job description:

  1. System Administration: Strong knowledge of infrastructure, including command-line tools and system internals.
  2. Networking: Understanding of network protocols, configurations, and troubleshooting.
  3. Computing: Experience with cloud understanding, including cloud architecture (on-perm and public) and services.
  4. Application Management: Familiarity with continuous integration and continuous deployment processes and tools.
  5. Monitoring and Observability: Skills in using monitoring tools to track system performance and detect issues including all the backend systems, database, and API's
  6. Problem-Solving: Ability to diagnose and resolve complex issues quickly and efficiently
  7. Collaboration: Strong communication skills to work effectively with cross-functional teams
  8. Adaptability: Flexibility to handle changing priorities and technologies
  9. Attention to Detail: Precision in managing configurations and deployments to avoid errors

Required Skills & Qualifications:

  • 8+ years of experience as a Site Reliability Engineer and experience with Telecom domain is must.
  • Strong proficiency in Java and Go (must-have); experience with Python is a plus.
  • Hands-on experience with Kubernetes, CI/CD, containerization, and service mesh.
  • Expertise in observability tools: Splunk, AppDynamics, or similar platforms.
  • Experience with cloud platforms AWS and Azure is must.
  • Solid background in software engineering and application architecture.
  • Experience in application performance monitoring, scalability, and high availability.
  • Knowledge of telecom systems and domain-specific challenges is highly preferred.
  • Strong problem-solving and debugging skills across distributed systems.
  • Excellent communication and collaboration abilities in a remote work environment.

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