About Us:
insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance teams the insights required to navigate any economic climate and drive greater financial intelligence, while increasing productivity, visibility, accuracy, and compliance. Learn more at insightsoftware.com.
Job Description:
Platform Engineer — Observability SME (Senior Platform Engineer)
Location: Remote, India | Reports to: Director, Cloud Delivery Platform (US-based)
Role Overview
Join our global platform engineering team as our dedicated Observability Subject Matter Expert. In this role you will own the day-to-day operation, adoption, and continuous improvement of an established enterprise observability platform built on Datadog. Working closely with North America and Europe-based architects, you will drive product team onboarding onto the shared observability standard, lead migrations from fragmented legacy tooling, enable teams to improve their observability maturity, and contribute to the ongoing evolution of the platform as the portfolio scales.
Key Responsibilities
Observability Platform Operations: Own the ongoing configuration, health, and governance of the shared Datadog tenant — maintaining tagging standards, RBAC, agent configurations, log pipelines, monitors, and dashboards as the portfolio grows and the platform evolves.
Product Onboarding: Lead the structured onboarding of product teams onto the shared observability standard, working directly with DevOps leads to deploy agents, configure APM instrumentation, establish baseline monitors, and validate compliance with platform standards.
Migration Execution: Plan and execute migrations of product teams from fragmented or non-standard observability tooling onto the shared Datadog platform, prioritizing by product criticality and coordinating with product teams to minimize disruption.
APM Adoption: Drive APM instrumentation across the portfolio, working with development teams to instrument applications for distributed tracing using Datadog APM libraries appropriate to each runtime.
Maturity Enablement: Support product teams in progressing through the observability maturity framework — from baseline instrumentation through operational monitoring and SLO definition — providing hands-on guidance, runbooks, and training to build self-sufficiency.
Incident Response Support: Collaborate with operational teams to ensure alert routing, escalation paths, and incident management integrations are correctly configured and maintained across all onboarded products.
Cost Governance: Monitor Datadog log ingestion volumes, custom metric cardinality, and index usage across the shared tenant. Enforce retention policies and exclusion filters to keep costs predictable as adoption scales.
Platform Evolution: Contribute to the continuous improvement of the observability platform — identifying gaps, proposing enhancements, and working with the architecture team to implement improvements that benefit the full portfolio.
Community and Enablement: Serve as the observability lead within the Cloud Center of Excellence Community of Practice — running enablement sessions, publishing best practices, and acting as the primary point of contact for observability questions across the organization.
Required Qualifications
- 5+ years of experience in DevOps, Platform Engineering, SRE, or Observability Engineering
- Deep hands-on expertise with Datadog across the full product surface: Infrastructure Monitoring, APM, Log Management, Synthetics, Dashboards, Monitors, and Alerts
- Strong experience operating shared Datadog tenants at enterprise scale, including tagging strategy, RBAC, and multi-team configuration management
- Proficiency with Infrastructure as Code using Terraform, including the Datadog Terraform provider for monitors, dashboards, and log pipelines managed as code
- Hands-on experience deploying the Datadog agent via Kubernetes (Helm DaemonSet), Ansible, and cloud-native approaches for secure API key management
- Familiarity with GitHub Actions and experience integrating observability tooling into CI/CD pipelines
- Strong understanding of structured logging standards, distributed tracing (W3C TraceContext), and APM instrumentation patterns across common runtimes (Java, .NET, Python, Node.js)
- Experience with PagerDuty integration, on-call schedule management, and alert routing design
- Demonstrated ability to work directly with product and engineering teams in an enablement and advisory capacity
- Ability to work effectively in a remote environment with strong self-direction and communication skills
- Excellent English communication skills for collaboration with US-based leadership, global team members, and product engineering teams
Preferred Qualifications
- Experience migrating products from fragmented or non-standard observability tooling to a unified Datadog standard
- Familiarity with Datadog IDP, Software Catalog, and DORA Metrics configuration
- Knowledge of SLO definition and management practices within Datadog
- Datadog certifications (Datadog Fundamentals, Log Management, APM)
- Familiarity with ITIL incident and change management practices and service management tool integrations
- Experience building or operating observability maturity frameworks or scorecard systems
- AI fluency — comfortable leveraging AI code assistants to amplify skills and accelerate delivery
Additional Information
All your information will be kept confidential according to EEO guidelines.
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