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Elasticsearch Observability Engineer Jobs in San Ramon, CA

Zscaler

Principal Software Development Engineer

San Jose, CA · Hybrid

$158K - $212K/yr

... ElasticSearch for correctness, speed, and cost efficiency * Harden production readiness and ... Strong track record designing debuggability/observability for distributed applications alongside ...

Cisco

Cloud Engineer

Milpitas, CA · On-site

$65 - $86.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with observability platforms and tools such as Prometheus, Grafana, Open Telemetry ... or Elasticsearch. * Experience with cloud security, identity, access control, RBAC, and multi ...

Cisco

Cloud Engineer

Milpitas, CA · On-site

$65 - $86.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with observability platforms and tools such as Prometheus, Grafana,Open Telemetry ... or Elasticsearch. * Experience with cloud security, identity, access control, RBAC, and multi ...

EvenUp

Senior Backend Engineer, Entities

San Francisco, CA · Remote

$184K - $249K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Elasticsearch). * Growth & Collaboration: Grow as an engineer working alongside world-class peers ... Maintain high standards for reliability, performance, observability, and maintainability. * Drive ...

Adobe

Senior Machine Learning Engineer

San Jose, CA

$122K - $168K/yr

Evaluation, observability, and agent quality * Sandboxed execution and security * Fine-tuning ... Elasticsearch, Snowflake, or similar). * Self-motivated with strong communication skills and the ...

EvenUp Inc

Senior Backend Engineer, Entities

San Francisco, CA · On-site

$184K - $249K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Elasticsearch). * Growth & Collaboration: Grow as an engineer working alongside world-class peers ... Maintain high standards for reliability, performance, observability, and maintainability. * Drive ...

Hebbia

Integrations Engineer

San Francisco, CA · On-site

$122K - $164K/yr

... observability to make systems more robust and easier to operate • Partner with product and ... ElasticSearch • Operational mindset: you take ownership of systems in production, not just in a ...

SoFi

Senior Staff AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Deep experience designing and institutionalizing AI observability solutions (e.g., LangSmith, Arize ... Elasticsearch, Pinecone, or FAISS for enhancing LLM performance. * Exceptional ability to ...

Adobe Systems

Senior Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

Evaluation, observability, and agent quality * Sandboxed execution and security * Fine-tuning ... Elasticsearch, Snowflake, or similar). * Self-motivated with strong communication skills and the ...

New

Doss

Staff Backend Engineer

San Francisco, CA · On-site

$230K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deliver end‑to‑end observability & search across supply‑chain, finance, and ops data ... Expertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph ...

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All JobsElasticsearch Observability Engineer JobsElasticsearch Observability Engineer Jobs in San Ramon, CA

Elasticsearch Observability Engineer information

What does an Elasticsearch Observability Engineer do?

An Elasticsearch Observability Engineer is responsible for designing, implementing, and maintaining observability solutions using the Elasticsearch stack (Elasticsearch, Logstash, Kibana, and Beats). Their primary role is to ensure that systems are monitored effectively, logs and metrics are collected and analyzed, and issues are detected and diagnosed quickly. They collaborate with development and operations teams to build dashboards, set up alerts, and optimize performance for monitoring infrastructure and applications. These engineers play a key role in improving system reliability and supporting incident response.

How does an Elasticsearch Observability Engineer typically collaborate with development and operations teams?

As an Elasticsearch Observability Engineer, you frequently partner with both development and operations teams to design and implement monitoring solutions using the Elastic Stack. You'll help developers instrument applications for better traceability and support operations in troubleshooting and optimizing system performance. Regular communication is key, as you'll often lead workshops, create dashboards, and respond to incidents collaboratively. This cross-functional teamwork ensures observability solutions align with organizational goals and provide actionable insights.

What are the key skills and qualifications needed to thrive as an Elasticsearch Observability Engineer, and why are they important?

To thrive as an Elasticsearch Observability Engineer, you need expertise in Elasticsearch, log management, and data analysis, often supported by a degree in computer science or a related field. Familiarity with observability tools such as Kibana, Logstash, Beats, and experience with cloud platforms and scripting languages like Python or Bash are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in this role. These competencies are vital for ensuring system reliability, quickly detecting issues, and delivering actionable insights for continuous improvement.

What is the difference between Elasticsearch Observability Engineer vs Elasticsearch Developer?

AspectElasticsearch Observability EngineerElasticsearch Developer
Primary FocusMonitoring, logging, and observability of Elasticsearch clusters and related systemsDeveloping, customizing, and optimizing Elasticsearch applications and integrations
Skills & CertificationsKnowledge of Elasticsearch, Prometheus, Grafana, scripting, and monitoring toolsProficiency in Elasticsearch APIs, Java, REST, and development frameworks
Work EnvironmentOperations teams, DevOps, SREs, cloud environmentsDevelopment teams, software engineers, backend developers

While both roles require expertise in Elasticsearch, the Elasticsearch Observability Engineer focuses on system monitoring and ensuring Elasticsearch health, whereas the Elasticsearch Developer concentrates on building and customizing Elasticsearch-based applications. Their skills and daily tasks differ, but both are essential in Elasticsearch-centric environments.

What are popular job titles related to Elasticsearch Observability Engineer jobs in San Ramon, CA?

For Elasticsearch Observability Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What cities near San Ramon, CA are hiring for Elasticsearch Observability Engineer jobs?

Cities near San Ramon, CA with the most Elasticsearch Observability Engineer job openings:

Elasticsearch Observability Engineer jobs near you
Infographic showing various Elasticsearch Observability Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Sr. Principal Engineer/ Principal Engineer - Cloud Platform (10395, 10448)

Extreme Networks

San Jose, CA • On-site

Full-time

Posted 21 days ago

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team.
JOB DESCRIPTION
Sr. Principal Engineer/ Principal Engineer - Cloud Platform
Reports To: Director of Software Systems Engineering
Position Summary
We are seeking an exceptional Sr. Principal/Principal Engineer to lead the design, architecture, and development of a comprehensive cloud platform. This role requires a visionary technologist with 15+ years of experience in building and scaling large-scale distributed systems, microservices architectures, and cloud infrastructure. The successful candidate will provide technical leadership across multiple service domains, mentor engineering teams, and drive architectural excellence across our rapidly evolving platform.
Key Responsibilities
  • Design and architect a scalable, highly available cloud platform with 15+ microservices including Audit Logs, API Gateway, Device Health, Usage & Capacity, Device Status, Users, Applications, IAM, License, Alerts, Metrics, Network Visualization, and Orchestration.

  • Establish and enforce architectural standards, best practices, and patterns across all platform services.

  • Lead the technical strategy for cloud platform evolution, including infrastructure decisions, technology selections, and deployment architectures.

  • Mentor and guide engineering teams in microservices design, providing code reviews and architectural guidance.

  • Drive performance optimization, scalability improvements, and reliability enhancements across the platform.

  • Collaborate with product, DevOps, and security teams to align platform capabilities with business objectives.

  • Define and implement monitoring, observability, and alerting strategies for complex distributed systems.

  • Lead technical investigations and resolution of complex production issues.

  • Evaluate and integrate new technologies and frameworks to enhance platform capabilities.

  • Participate in architectural review boards and technology steering committees.

Required Qualifications
  • 15+ years of software engineering experience with at least 8+ years in distributed systems and microservices architecture.

  • Demonstrated expertise in designing and building large-scale cloud platforms or SaaS applications.

  • Deep understanding of microservices architecture, API design, and event-driven systems.

  • Strong proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).

  • Expertise in modern programming languages (Java, Go, Python, or similar) and frameworks.

  • Hands-on experience with database technologies (relational and NoSQL), data management, and eventual consistency patterns.

  • Strong background in DevOps practices, CI/CD pipelines, and infrastructure-as-code.

  • Proven ability to lead complex technical initiatives and guide cross-functional teams.

  • Experience with security and compliance considerations in cloud platform design.

  • Bachelor's or master's degree in computer science, Computer Engineering, or equivalent professional experience.

Preferred Qualifications
  • Experience with identity and access management (IAM) systems and authentication/authorization frameworks.

  • Knowledge of licensing systems, metering, and usage-based analytics.

  • Background in network visualization, monitoring, or IT operations platforms.

  • Experience with real-time data streaming platforms (Kafka, Kinesis, or similar).

  • Expertise in audit logging, compliance monitoring, and regulatory frameworks.

  • Prior experience with API management platforms and developer portals.

  • Knowledge of orchestration platforms and workflow management systems.

  • Experience mentoring and building high-performing engineering teams.

  • Open-source contributions or speaking engagements at technical conferences.

Technical Skills & Competencies
Core Technical Skills:
  • Architecture & Design: Microservices, event-driven architecture, CQRS, API design, distributed systems patterns

  • Cloud Platforms: AWS (EC2, ECS, EKS, Lambda, RDS, DynamoDB), Azure, or GCP

  • Container & Orchestration: Docker, Kubernetes, Helm, container networking

  • Programming Languages: Java, Go, Python, C#, or TypeScript

  • Databases: PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Elasticsearch

  • DevOps & Infrastructure: Terraform, CloudFormation, Jenkins, GitLab CI, GitHub Actions

  • Observability: Prometheus, Grafana, ELK Stack or similar

  • Security: OAuth 2.0/OIDC, TLS/SSL, secrets management, vulnerability scanning

Soft Skills:
  • Strategic thinking and long-term vision for technology direction

  • Exceptional communication and presentation skills

  • Leadership and mentorship capabilities

  • Problem-solving and analytical thinking

  • Passion for operational excellence and continuous improvement

  • Ability to make trade-offs and prioritize technical decisions

What We Offer
  • Opportunity to lead the architecture of a cutting-edge cloud platform serving thousands of enterprise customers

  • Collaborative environment with talented engineering teams and cross-functional stakeholders

  • Professional development opportunities including training, conferences, and certifications

  • Competitive compensation package

  • Comprehensive health, wellness, and retirement benefits

  • Flexible work environment with remote options

  • Leadership role with high visibility and impact across the organization

Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on "protected categories," Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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