Senior Software Engineer – Observability

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 10,001+Since 1961H1B SponsorCompany SiteLinkedIn

Location

California + 3 moreAll locations: California, Illinois, Montana, South Dakota

Posted

1 day ago

Salary

$106.9K - $147K / year

Seniority

Senior

Associate Degree7 yrs expExperience acceptedEnglishAnsibleCloudDistributed SystemsJavaMicroservicesPythonSplunkTerraformGo

Job Description

• Configure and manage Splunk data inputs (Syslog, Universal forwarders, Application Programming Interface, Hybrid Electronic Cluster, cloud connectors etc.) • Work with stakeholders to gather requirements for new sources and translate them into onboarding plans, with our key partners in Enterprise Security • Develop and maintain technical add-ons for field extractions, data parsing and normalization • Integrate AI/ML models into observability pipelines to enable predictive analytics, anomaly detection, and intelligent alerting • Troubleshoot ingestion issues across forwarders, indexers and parsing capabilities • Automate onboarding workflows with scripts, dashboards, automation tools (Python, Ansible, Terraform etc.) • Design and implement observability solutions using modern engineering practices and observability technologies • Develop and maintain integrations across observability platforms (e.g., Splunk, Dynatrace, OpenTelemetry) • Build and optimize dashboards, alerts, and analytics to support proactive monitoring and incident response • Collaborate with platform teams to ensure observability is embedded across CI/CD pipelines and production workloads • Participate in Agile ceremonies and enterprise change management processes • Mentor junior engineers and contribute to knowledge sharing across the organization

Job Requirements

  • Associate’s degree and 7+ years of software engineering experience (or 10+ years in lieu of a degree)
  • 4+ years of experience designing and implementing observability solutions, metrics, events, logs and traces
  • 1+ years’ experience integrating AI/ML models into operational or observability workflows
  • Experienced in Splunk developing, onboarding and SIEM engineering along with Splunk universal forwarders, heavy forwarders and indexers
  • Proficiency in data parsing and field extractions using props.conf, transforms.conf and Regex
  • Strong proficiency in one or more programming languages (e.g., Python, Go, Java)
  • Deep understanding of distributed systems, microservices, and telemetry pipelines
  • Excellent communication and stakeholder engagement skills
  • Proven ability to work independently and lead technical initiatives

Benefits

  • Medical, dental and vision benefits
  • 401(k) retirement savings plan
  • Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
  • Short-term and long-term disability
  • Life insurance and many other opportunities

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