SRE-Platform Lead

Job Description

Position: Senior Site Reliability Engineer (SRE) Platform Lead

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Job Location: Remote/ US

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Job Type: Full Time

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Immediate Interview

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Role Overview

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• We are looking for a Senior Site Reliability Engineer (SRE) with a strong platform
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• ownership mindset to drive reliability, scalability, and performance of mission-critical, distributed systems.
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• This role sits at the intersection of software engineering, cloud infrastructure, and production operations, with a focus on building resilient systems, improving observability, automating operations, and driving reliability at scale.
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• You will act as a technical lead for platform reliability, working closely with engineering and business stakeholders to ensure systems are highly available, performant, and continuously improving.
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Experience:

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• 5+ years of experience in SRE, DevOps, or Production Engineering
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• Experience supporting large-scale distributed systems
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• Experience working in production-critical environments with high availability requirements
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• Exposure to global systems and cross-team collaboration
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Key Responsibilities

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Platform Reliability & Ownership

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• Own availability, performance, and scalability of production systems
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• Define and implement SLIs, SLOs, and error budgets
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• Drive continuous improvements in system resilience and efficiency
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Incident Management & Root Cause Analysis

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• Lead end-to-end incident response and service restoration
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• Perform deep root cause analysis across infrastructure, application, data, and network layers
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• Implement long-term fixes and reduce recurrence through engineering improvements
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Observability & Monitoring

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• Design and enhance monitoring, logging, and alerting systems
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• Develop actionable dashboards and improve alert quality
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• Enable proactive detection of system issues
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Automation & DevOps Practices

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• Automate operational workflows to reduce manual effort
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• Build and maintain CI/CD pipelines
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• Implement Infrastructure as Code (IaC) for scalable infrastructure management
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Cloud & Distributed Systems

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• Manage and optimize systems on modern cloud platforms
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• Troubleshoot distributed systems across compute, storage, and network layers
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• Diagnose latency, routing, and performance issues in globally distributed environments
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Data & Workflow Reliability

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• Troubleshoot data pipelines, job failures, and data inconsistencies
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• Perform data validation and analysis
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• Ensure reliability across data dependencies and workflows
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Networking & Traffic Management

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• Diagnose issues related to DNS, proxies, and load balancing
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• Work with CDN and edge delivery platforms (e.g., Akamai or similar) to optimize traffic routing and performance
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Stakeholder Collaboration

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• Act as a liaison between engineering teams and business stakeholders
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• Communicate system status, incidents, and risks with clarity and context
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• Partner with cross-functional teams to drive reliability improvements
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AI-Driven Reliability (Emerging Focus)

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• Apply AI/ML-driven techniques for anomaly detection, alert optimization, and
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• predictive issue identification
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• Leverage intelligent automation to improve incident response and operational
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• efficiency
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Core Expectations

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• Demonstrates strong ownership of production systems and outcomes
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• Independently drives incident resolution and follow-through
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• Applies structured, analytical thinking to complex technical problems
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• Communicates effectively in high-impact, production-critical scenarios
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• Focuses on long-term reliability and scalability improvements
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Technical Skills:

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Programming & Automation

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• Strong experience in Python for automation and tooling
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• Proficiency in shell scripting (Bash)
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• Experience with API-driven and event-driven automation
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Cloud & Infrastructure

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• Hands-on experience with AWS, Azure, or GCP
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• Strong understanding of cloud architecture, networking, and security fundamentals
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• Infrastructure as Code using Terraform, CloudFormation, or Ansible
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DevOps & CI/CD

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• Experience with Jenkins, GitLab CI, or similar tools
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• Strong understanding of build, release, and deployment pipelines
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Observability

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• Experience with Datadog, Splunk, Prometheus, or Grafana
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• Strong logging, monitoring, and alerting practices
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• Familiarity with incident management tools (e.g., PagerDuty)
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Data & Databases

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• Strong SQL skills for troubleshooting and validation
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• Understanding of data pipelines and system dependencies
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Systems & Platform

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• Strong Linux fundamentals
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• Experience with Docker and containerized environments
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• Exposure to Kubernetes and web servers (e.g., Nginx)
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Orchestration

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• Experience with Airflow, Autosys, or similar scheduling tools
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Networking & CDN

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• Strong understanding of DNS, proxies, and load balancing
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Experience with CDN and edge delivery platforms (e.g., Akamai or similar)