Devops Engineer

About the role

Unlike a traditional production support role, this position requires strong engineering aptitude and a proactive operational mindset. The ideal candidate combines customer/agent facing application ecosystem knowledge, application monitoring expertise, incident management experience, automation skills, and a passion for leveraging AI and GenAI technologies to improve operational efficiency. You will partner closely with engineering teams, release management, security, compliance, and business stakeholders to identify risks, reduce incidents, enhance monitoring capabilities, and drive platform reliability across a complex ecosystem supporting hundreds of enterprise applications.

Responsibilities

Site Reliability & Operations

• Serve as a key member of the Engineering Operations organization supporting self-assist Web & Mobile App and related business applications.
• Provide Tier 1/2 operational support for production systems in a 24x7 environment.
• Monitor application health, performance, availability, and customer experience across the platform.
• Drive proactive issue detection and prevention rather than relying solely on customer-reported incidents.
• Participate in incident response, triage, war rooms, major incident management, and post-incident reviews.
• Perform root cause analysis (RCA) and identify opportunities to improve platform stability and resiliency.
• Partner with Tier 1, Tier 2, Tier 3, infrastructure, security, and application teams to rapidly resolve issues.
• Create and maintain operational runbooks, knowledge articles, and support documentation.

Observability & Monitoring

• Build, maintain, and optimize monitoring dashboards, alerts, and health checks.
• Analyze application logs, API activity, transactions, and performance metrics.
• Utilize observability and monitoring platforms including:
  • Dynatrace
  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • Catchpoint or other synthetic monitoring solutions
  • Quantum Metrics or other user session replay solutions
• Reduce alert fatigue through automation, threshold tuning, and intelligent event correlation.
• Develop and enhance monitoring strategies to provide end-to-end visibility across Digital ecosystem and integrated systems.

Incident Management & Problem Management

• Act as a technical responder during production incidents and service disruptions.
• Coordinate issue resolution efforts across multiple technical teams and stakeholders.
• Manage incident lifecycle activities including:
  • Detection
  • Triage
  • Resolution
  • Communication
  • Root cause analysis
• Identify recurring issues and lead problem management initiatives to eliminate operational inefficiencies.

Automation & AI Enablement

• Develop innovative approaches to reduce manual operational effort through automation.
• Leverage AI, GenAI, agentic workflows, and intelligent operational tooling where appropriate.
• Create automation solutions to improve:
  • Shift handoffs
  • Incident reporting
  • Alert management
  • Knowledge management
  • Operational reporting
• Contribute to internal AI initiatives that improve engineering productivity and service reliability.
• Evaluate and implement automation opportunities across monitoring, ticketing, collaboration, and support workflows.

Requirements

Required Qualifications

• 5+ years experience performing Production Support for Mission Critical, high-performance applications (Customer Care, Retail and eCommerce customer/agent facing application experience preferred)
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
• Experience using Docker, Kubernetes and Microsoft Azure Cloud, Unix, Networking and troubleshooting knowledge
• Experience with enterprise monitoring and observability tools such as:
  • Application & Infrastructure Performance Monitoring tools like Dynatrace
  • Application Log Analytics tools like Elastic
  • Visualization tools like Kibana and Grafana
• EFK stack experience preferred
• Creation of Dashboards on Dynatrace, ELK and Grafana
• Debugging java log, debugging microservices log
• Experience in Relational & NoSQL databases like Oracle & Cassandra
• Strong experience with:
  • Incident Management
  • Problem Management
  • Root Cause Analysis
  • Service restoration processes
• Experience working across multiple technical teams in large-scale enterprise environments.
• Strong written and verbal communication skills.

Preferred Qualifications

• Site Reliability Engineering (SRE) experience.
• Experience building operational dashboards and observability platforms.
• Hands-on experience with AI, GenAI, Copilot, & operational automation.
• Experience with scripting or automation using Python, PowerShell, JavaScript, or similar technologies.
• Exposure to release management, change management, and production deployments.
• Understanding of security, SOX, compliance, and enterprise operational controls.
• Experience supporting large-scale environments with hundreds of integrated applications.
• Generative AI and Workflow Automation skills
• GPT-4o LLM - Advanced LangGraph and LangChain
• Google DialogFlow (Api.ai)
• Google Vertex
• Databricks, Spark, Snowflake
• Python, Java, SQL
• Selenium, Playwright
• Robotic Process Automation (RPA)
• Power Automate, Automation Anywhere
• Demonstrated experience leveraging AI-driven tools for automating end-to-end operational workflows
• Demonstrated experience using Text Generative & Code Generative AI Models
• Automation, Gen AI & Agentic Workflow