Senior DevOps Engineer (Observability)

Location: Pune, India

Company

hirify.global develops cybersecurity solutions and provides a production-focused environment centered on innovation and teamwork.

What you will do

• Design, build, operate, and continuously improve a high-scale observability platform using ClickHouse, HyperDX, OpenTelemetry, and Kubernetes.
• Architect and optimize ClickHouse schemas, partitioning, ordering keys, TTLs, materialized views, retention policies, storage efficiency, and queries for high-volume logs, metrics, and traces.
• Build scalable OpenTelemetry Collector pipelines with batching, queuing, retries, backpressure handling, sampling, rate limiting, enrichment, filtering, and routing.
• Operate HyperDX for log search, distributed tracing, service analysis, dashboards, telemetry correlation, troubleshooting, and root-cause analysis.
• Automate infrastructure deployment, configuration management, upgrades, application onboarding, and CI/CD workflows using Jenkins, Terraform, Ansible, Consul, Vault, and Kubernetes.
• Partner with application, platform, SRE, and operations teams on production troubleshooting, incident response, capacity planning, remediation, and observability standards.

Requirements

• 6+ years of experience in DevOps, SRE, platform, infrastructure, or observability engineering.
• Strong production experience with ClickHouse administration, architecture, schema design, performance tuning, query optimization, retention management, troubleshooting, and large-scale operations.
• Hands-on experience operating HyperDX with ClickHouse, including log search, tracing, dashboards, service analysis, and troubleshooting.
• Strong experience with OpenTelemetry Collector, Fluent Bit, Filebeat, Prometheus, Alertmanager, Grafana, Jenkins, Ansible, Terraform, Consul, Vault, and Kubernetes.
• Strong understanding of Linux, networking, microservices, REST, gRPC, distributed systems, high availability, scripting, and production operations.
• Ability to own production systems end to end, lead complex investigations, communicate during incidents, improve reliability, and mentor engineers.

Nice to have

• Java and Python development experience, including instrumentation troubleshooting and performance analysis.
• Experience building automation, internal tools, APIs, platform services, or self-service onboarding workflows.
• Experience with Kafka or other high-throughput messaging and streaming platforms.
• Experience with APM, distributed tracing, context propagation, service maps, SLOs, SLIs, alert quality, cloud platforms, and large-scale Kubernetes environments.

Culture & Benefits

• Hands-on ownership of critical observability services and production outcomes.
• Automation-first engineering practices focused on repeatability, reliability, scalability, performance, cost, and operational safety.
• Technical leadership through design reviews, documentation, runbooks, incident reviews, standards development, and mentoring.