Senior Software Engineer - Site Reliability

Requirements

• Systems & Core Automation: In-depth knowledge of Linux administration, system-level commands, and expert-level shell scripting alongside proficiency in Python, Ruby, or Go.
• Containerization & Cloud Infrastructure: Deep understanding of Kubernetes architecture, cluster components, resource management via kubectl, and cloud-specific deployment/scaling services (AWS, Azure, GCP).
• CI/CD & Version Control Mastery: Advanced expertise in modern Git workflows (branching models, merging protocols) combined with CI/CD principles and automated test integration frameworks.
• Database Engineering & SQL: Strong grasp of relational database fundamentals, advanced SQL query design, database normalization, and runtime performance tuning.
• Analytical Problem-Solving: Advanced logical reasoning and analytical capabilities required to troubleshoot multifaceted infrastructure bottlenecks under pressure.
• Technical Communication: Excellent interpersonal and documentation skills to communicate complex technical paradigms easily to developers, operations, and cross-functional stakeholders.
• Core Technical Foundation: Advanced understanding of fundamental computer science concepts, including data structures, algorithms, and object-oriented programming (OOP).
• Production DevOps Track Record: Verifiable experience managing large-scale continuous integration and continuous deployment infrastructure in live product environments.
• Enterprise Infrastructure Exposure: Extensive hands-on experience running multi-region cloud applications, distributed databases, and high-density container orchestration platforms.
• Education Baseline: Degree in Computer Science, Engineering, or a related technical field (or equivalent practical industry experience).

Benefits

Additional Information

Impact You Can Create Accelerate Delivery Velocity: Design and scale robust, automated CI/CD pipelines that transition code from development to production seamlessly, minimizing time-to-market. Maximize System Resilience: Establish proactive, high-fidelity monitoring and logging frameworks that guarantee infrastructure visibility, low MTTR, and rock-solid platform stability. Orchestrate at Scale: Architect and manage enterprise-grade Kubernetes clusters and cloud-native environments to support highly available, multi-tenant global applications. Foster Collaborative DevOps Culture: Act as a critical technical bridge between development and operations teams, driving best practices in automation, version control, and infrastructure as code. Roles & Responsibilities Automation & Scripting: Write and maintain high-quality scripts using Python, Ruby, or Go to automate configuration management, infrastructure provisioning, and application deployments. Linux System Administration: Perform advanced Linux systems administration, manage user accounts, access permissions, file systems, and engineer powerful shell scripts to automate routine tasks. CI/CD Pipeline Engineering: Design, build, and optimize scalable CI/CD pipelines utilizing tools such as Jenkins, GitLab CI/CD, or Azure DevOps, ensuring tight integration with version control systems and container platforms. Kubernetes & Cloud Orchestration: Deploy, scale, and manage infrastructure components across major cloud platforms (AWS, Azure, GCP), with a heavy focus on configuring and maintaining highly available Kubernetes clusters. Database Administration & Optimization: Oversee relational database management systems (RDBMS) like MySQL and PostgreSQL, executing tasks related to schema design, query optimization, normalization, backups, recovery, and security tuning. Observability & Incident Mitigation: Set up centralized logging and monitoring solutions to collect and analyze application telemetry, pinpointing root causes of complex infrastructure issues to implement permanent fixes. Repository & Lifecycle Management: Administer Git repositories, establishing clean branching, merging, and conflict-resolution strategies to enable friction-free developer collaboration. Process Documentation: Clearly document internal DevOps frameworks, deployment pipelines, operational runbooks, and system architectures to maintain knowledge continuity.

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Company Intel

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