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Software Engineer, Platform Engineering – Observability
Mercari, Inc.. Design, build, and operate Mercari's observability platform covering metrics, logs, traces, and alerting at scale .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating observability platforms, with a strong focus on metrics, logs, traces, and alerting. Proficient in developing AI-powered solutions and internal tools that enhance system reliability and developer productivity.
Highest-signal resume keywords
Observability And Monitoring PlatformsKubernetes And Container OrchestrationGo Or Python ProficiencyGCP And/AWS ExperienceSLIs, SLOs, And Error Budgets
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Observability And MonitoringInfrastructure As CodeMetrics And LoggingDistributed TracingAlerting Systems DesignAI Technologies For ObservabilityOpenTelemetryData Pipeline DesignIncident Management ProcessesCost Optimization Of Observability Data
Soft Skills
Documentation SkillsCommunication SkillsMentoringTechnical Leadership
Tools & Technologies
DatadogPrometheusGrafanaTerraform
Industry Keywords
Mean Time To DetectMean Time To MitigateMicroservices EnvironmentEngineering Culture
Tech Stack
Tools & technologiesAWSDistributed SystemsGoogle Cloud PlatformGrafanaKubernetesMicroservicesPrometheusPythonTerraformGo
About the role
Key responsibilities & impact- Design, build, and operate Mercari's observability platform covering metrics, logs, traces, and alerting at scale
- Drive measurable improvements in Mean Time to Detect and Mean Time to Mitigate across all services
- Build AI-powered solutions for automated anomaly detection, alert correlation, and incident response assistance
- Develop self-service observability tooling for product engineers
- Define and champion observability standards, best practices, and SLO frameworks
- Collaborate with platform teams, SRE, Security, and product engineering teams on system visibility and reliability
- Automate operational workflows to reduce toil and improve team efficiency
- Lead technical decisions, mentor team members, and shape engineering culture
- Take end-to-end ownership of the observability stack, from data collection and pipeline efficiency to intelligent alerting and AI-assisted incident response
Requirements
What you’ll need- 9+ years of experience building, operating, and maintaining scalable production systems
- Strong expertise in observability and monitoring platforms, such as Datadog, Prometheus, Grafana, or similar, in production environments
- Hands-on experience with Kubernetes and container orchestration in production
- Proficiency in Go or Python for building infrastructure tooling and services
- Experience with GCP and/or AWS and Infrastructure as Code using Terraform
- Deep understanding of metrics, logging, and distributed tracing, including instrumentation patterns and data pipeline design
- Experience designing and tuning alerting systems to reduce noise and improve incident detection
- Strong understanding of SLIs, SLOs, and error budgets as reliability frameworks
- Proven ability to develop internal tools and platforms that improve developer productivity
- Strong documentation and communication skills; able to write design docs and drive technical discussions
- Shared commitment to the company's mission and values
- Preferred: Experience leveraging AI technologies for observability use cases
- Preferred: Track record of measurably improving MTTD and MTTM in a microservices environment
- Preferred: Experience with observability for large-scale distributed systems
- Preferred: Hands-on experience with OpenTelemetry
- Preferred: Cost optimization of observability data at scale
- Preferred: Ability to lead technical direction, mentor engineers, and build engineering culture
- Preferred: Experience with incident management processes and tooling
Benefits
Comp & perks- Full-time employment
- Hybrid workstyle: 2 days work from office and 3 days work from home
- Encouragement to work from the Bangalore office, especially during the initial office setup phase