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Role Overview
We are seeking a Senior Dev Ops Engineer, Observability to design, build, operate, and continuously improve a high-scale observability platform built around Click House, HyperDX, Open Telemetry, Kubernetes, and modern Dev Ops automation practices. This role is intended for a senior hands-on engineer who can take end-to-end ownership of observability infrastructure for production environments. The engineer will be responsible for building reliable telemetry pipelines for logs, metrics, and distributed traces, optimizing Click House for large-scale observability workloads, operating HyperDX for troubleshooting and application performance analysis, and partnering with application, platform, and SRE teams to improve production visibility, reliability, and incident response. The ideal candidate is deeply technical, operationally disciplined, automation-oriented, and comfortable working in high-volume, production-critical environments. Senior-level expectation: This role requires ownership beyond task execution, including technical judgment, production accountability, automation-first delivery, mentoring, and clear communication during incidents and escalations.
Key Responsibilities
• Design, build, and operate scalable observability platforms using Click House, HyperDX, Open Telemetry, Kubernetes, Prometheus, Grafana, Alertmanager, Fluent Bit, and Filebeat.
• Architect and optimize Click House for high-volume observability workloads, including logs, traces, metrics, and telemetry analytics.
• Design and manage Click House schemas, partitioning strategies, ordering keys, TTLs, materialized views, retention policies, storage efficiency, and query optimization.
• Build, operate, and improve HyperDX for log search, distributed tracing, service analysis, dashboards, telemetry correlation, troubleshooting, and root-cause analysis.
• Build and maintain scalable Open Telemetry Collector pipelines for collecting, processing, enriching, filtering, sampling, and routing telemetry data.
• Implement reliable correlation across logs, metrics, and traces to support faster application troubleshooting, service dependency analysis, and incident resolution.
• Design resilient telemetry pipelines with batching, queuing, retries, backpressure handling, sampling, rate limiting, and cardinality controls.
• Deploy and operate observability infrastructure on Kubernetes, with focus on scalability, high availability, capacity planning, resiliency, and operational safety. • Automate infrastructure deployment, configuration management, platform upgrades, application onboarding, and recurring operational tasks using Dev Ops best practices.




• Build and maintain CI/CD workflows using Jenkins, infrastructure automation using Terraform and Ansible, and service discovery or secrets management integrations using Hashi Corp Consul and Vault.
• Partner with application engineering, platform engineering, SRE, and operations teams to troubleshoot production issues, improve observability coverage, and reduce mean time to detect and resolve incidents.
• Analyze production performance issues across infrastructure, applications, telemetry pipelines, and Click House queries, and drive corrective actions to closure.
• Define and improve standards for telemetry instrumentation, log quality, metric hygiene, trace propagation, dashboard design, alert quality, and production readiness.
• Participate in incident response, post-incident reviews, capacity planning, operational reviews, and remediation tracking for observability services.
• Mentor junior engineers, review designs and automation changes, and raise the overall technical and operational maturity of the team.
Required Qualifications
• 6+ years of experience in Dev Ops, SRE, Platform Engineering, Infrastructure Engineering, or Observability Engineering roles.
• Strong production experience with Click House, including architecture, administration, schema design, performance tuning, query optimization, troubleshooting, retention management, and operations at scale.
• Hands-on experience deploying and operating HyperDX, including integration with Click House and usage for log search, distributed tracing, dashboards, service analysis, and troubleshooting.
• Strong experience with Open Telemetry and Open Telemetry Collector, including receiver, processor, exporter, sampling, enrichment, batching, and routing configurations.
• Solid working knowledge of Fluent Bit, Filebeat, Prometheus, Alertmanager, Grafana, Click House, HyperDX, and Open Telemetry.
• Strong Dev Ops and automation experience with Jenkins, CI/CD pipelines, Ansible, Terraform, Hashi Corp Consul, Hashi Corp Vault, and Kubernetes.
• Strong understanding of Linux, networking, microservices, REST, gRPC, distributed systems, high-availability architectures, and production operations.
• Experience operating and troubleshooting high-volume production systems with focus on reliability, scalability, capacity, and performance.
• Ability to debug complex issues across application telemetry,



Kubernetes infrastructure, data ingestion pipelines, storage systems, and query performance. • Strong scripting and automation skills, with the ability to reduce manual operations and improve repeatability, reliability, and operational efficiency.
• Ability to take ownership of production systems, drive problems to closure, communicate clearly during incidents, and collaborate effectively with engineering and operations teams.
Preferred Qualifications
• Development experience with Java and Python, including the ability to understand application code, troubleshoot instrumentation issues, and analyze performance behavior.
• Experience developing automation, internal tools, APIs, platform services, or self-service onboarding workflows.
• Experience with Kafka or other high-throughput messaging and streaming platforms.
• Strong understanding of APM, distributed tracing, Open Telemetry instrumentation, context propagation, service maps, and service dependency analysis.
• Experience with cloud platforms such as AWS, Azure, GCP, or OCI.
• Experience designing observability solutions for large-scale Kubernetes, microservices, or distributed application environments.
• Experience improving alert quality, reducing noise, defining SLOs or SLIs, and supporting production readiness reviews.
Senior Engineer Expectations
As a Senior Dev Ops Engineer, this role is expected to go beyond task execution and operate with strong ownership, judgment, technical leadership, and accountability for production outcomes. The candidate should be able to:
• Own critical observability services end to end, from design and implementation to production operations, troubleshooting, and continuous improvement. • Make sound technical decisions around scalability, reliability, performance, cost, capacity, security, and operational maintainability.
• Proactively identify risks, gaps, and scaling bottlenecks before they become production issues.
• Build automation-first solutions rather than relying on manual processes.
• Lead technical investigations during complex incidents and drive clear remediation plans.
• Influence application and platform teams to improve instrumentation quality, telemetry consistency, and operational readiness.
• Write clear technical documentation, operational runbooks, onboarding guides, and incident review notes.
• Mentor engineers, review technical designs, and help establish standards for observability engineering.
• Communicate effectively with technical and non-technical stakeholders during incidents, escalations, and planning discussions.
• Demonstrate strong accountability for production stability, platform reliability, and measurable operational outcomes.

📌 Senior DevOps Engineer (India)
🏢 Qualys
📍 India