Description
As a Senior Engineer (L3) specializing in Defect Management & DevOps, you will play a critical role in driving operational excellence, ensuring defect-free delivery pipelines, and strengthening reliability across cloud-native platforms. You will collaborate closely with engineering, QA, SRE, and product teams to manage end-to-end defect processes, streamline automation, and enhance service observability. The role demands deep analytical capability, strong DevOps experience, and the ability to influence cross-functional improvements through data-driven insights and advanced troubleshooting.
You will act as a subject matter expert (SME) in DevOps and GCP/AWS, overseeing end-to-end release processes, governance, and delivery pipelines. This role requires leadership, deep technical knowledge, and excellent communication skills.
Core Responsibilities
Serve as the Subject Matter Expert (SME) for cloud platforms, primarily AWS (GCP exposure is a plus), providing guidance on cloud best practices, architectural decisions, and solution design. Support customers with core Managed Services technologies, including Cloud, Automation, Terraform, CI/CD, and containerization. Design, implement, and optimize cloud-native and DevOps solutions aligned with customer and organizational objectives. Lead technical discussions, demos, and customer engagements while effectively communicating complex technical concepts to both technical and non-technical stakeholders. Assist with team-building activities such as interviewing, onboarding, and aligning technical resources. Provide technical leadership, coaching, and mentorship to junior team members. Maintain strong project and situational awareness to ensure deliverables meet timelines and organizational expectations. Develop high-quality documentation including architectures, workflows, runbooks, and other written deliverables. Act as a technical expert in internal knowledge-sharing initiatives and external client interactions. Influence cloud governance, operational policies, best practices, and process improvements across teams and customer environments. Ensure precision, accuracy, and strong attention to detail across all tasks and deliverables.
Requirements
Act as the SME for Defect Management processes, governance, tooling, and reporting. Own and manage the full defect lifecycle, including logging, triage, prioritization, RCA, corrective actions, and closure. Partner with Development, QA, SRE, and Product teams to ensure timely resolution of high-impact issues. Establish and maintain defect dashboards, KPIs, and trend analytics to drive quality and process improvements. Develop standardized runbooks, escalation workflows, and operational procedures for defect handling. Lead cross-team Root Cause Analysis (RCA) investigations and drive Corrective and Preventive Actions (CAPA) implementations. Improve operational readiness through enhanced monitoring, alerting, and structured incident-to-defect workflows. Provide guidance on CI/CD optimization, automation strategies, infrastructure stability, and reliability engineering. Mentor junior engineers in DevOps principles, tooling, defect analysis techniques, and troubleshooting best practices.
Requirements
Defect Management Expertise Full ownership of defect lifecycle ensuring SLA adherence. Deep understanding of SDLC, change management, and ITIL best practices. Ability to analyze defect patterns, severity trends, root causes, and long-term systemic issues. Conduct structured RCA using 5 Why’s, Fishbone, Fault Tree Analysis. Define and enforce severity, categorization, and prioritization standards. Create dashboards and quality metrics to drive continuous improvement. Tools & Skills: Strong JIRA workflow, automation rule, dashboard, and reporting expertise. Ability to visualize defect trends and quality metrics effectively. Observability, Monitoring & SIEM Tools Hands-on experience with Dynatrace, Datadog, Prometheus, Grafana, CloudWatch, or similar tooling. Skilled in APM analysis, log correlation, anomaly detection, service mapping, and performance troubleshooting. Build and maintain dashboards and alert frameworks. Integrate monitoring insights with DevOps and operational workflows. Exposure to SIEM event analysis for operational and security correlation.
Core DevOps Responsibilities
Build, enhance, and support CI/CD pipelines across multiple environments using AWS CodePipeline, CodeBuild, CodeDeploy, and Git-based workflows. Collaborate on automation initiatives using Terraform, CloudFormation, AWS CDK, or equivalent IaC tools to standardize and streamline deployments. Deploy and manage AWS cloud-native services including EKS, ECS, Lambda, API Gateway, S3, IAM, and supporting architectures. Work with containers and orchestration platforms such as Kubernetes, EKS, ECS, and AKS (where required). Implement deployment best practices such as blue/green, rolling updates, and automated rollback strategies to ensure safe, repeatable releases. Troubleshoot complex deployment issues, environment drift, infrastructure failures, performance bottlenecks, and service-level degradations. Implement and maintain observability using CloudWatch, Prometheus, Grafana, Datadog, Dynatrace, or equivalent monitoring stacks. Ensure AWS workloads adhere to resiliency, compliance, security, and operational excellence guidelines. Strong hands-on, production-grade DevOps experience in AWS (primary cloud). Deep expertise in Kubernetes, containerized workloads, microservices, autoscaling, and cloud networking. Advanced troubleshooting across AWS services, distributed systems, CI/CD pipelines, and API-driven workflows. Knowledge of AWS cost optimization, tagging, FinOps alignment, and resource lifecycle governance. Exposure to building or maintaining CI/CD pipelines within GCP ecosystems (Cloud Build, GKE, Artifact Registry, etc.). Ability to work with GCP cloud-native services where required, ensuring consistency across hybrid/multi-cloud deployments. Familiarity with GCP IAM, VPC architecture, and core compute/storage/networking components is a plus.
General Qualifications
Strong communication, leadership, and mentoring capabilities. 6–10+ years of experience in DevOps, SRE, QA Engineering, or Cloud Operations. Expert-level AWS knowledge (GCP exposure would be a plus). Strong command of IaC tools such as Terraform, CloudFormation, CDK. Experience with CI/CD systems: Jenkins, GitLab CI, AWS CodePipeline. Proficiency with Docker, Kubernetes, and container orchestration. Experience with monitoring technologies: Datadog, Grafana, Prometheus. Experience with JIRA workflows and project tracking. Ability to excel in dynamic, fast-paced environments.
Expectations
Demonstrate deep expertise across DevOps, cloud platforms, automation, and engineering practices. Balance hands-on delivery with leadership responsibilities and strategic initiatives. Continuously assess, refine, and enhance processes, documentation, and operational workflows. Adapt effectively to evolving customer requirements, project priorities, and technology landscapes. Engage confidently with senior stakeholders, providing clear communication and technical guidance. Lead scoping, planning, and methodology definition for major technical initiatives and transformations. Contribute to the development of new engineering standards, frameworks, and best practices across teams. Take senior-level ownership of critical defects, escalations, and operational issues, driving them to resolution. Influence and drive cross-team improvements in tooling, quality, automation, and operational efficiency. Ensure prevention mechanisms, automation guardrails, and reliability practices are embedded early in delivery cycles. Lead initiatives focused on defect prevention, observability enhancements, and overall DevOps maturity uplift. Participate in on-call rotations and provide Tier-3 technical expertise for complex issues. Continuously propose, design, and implement enhancements across tooling, automation, and operational frameworks.
