Has shipped on top of Elasticsearch, OpenSearch, Vespa, Algolia, vector databases, or a custom IR ... TypeScript/Node.js proficiency; comfortable with observability tooling (Datadog, Sentry ...
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Has shipped on top of Elasticsearch, OpenSearch, Vespa, Algolia, vector databases, or a custom IR ... TypeScript/Node.js proficiency; comfortable with observability tooling (Datadog, Sentry ...
Has shipped on top of Elasticsearch, OpenSearch, Vespa, Algolia, vector databases, or a custom IR ... TypeScript/Node.js proficiency; comfortable with observability tooling (Datadog, Sentry ...
Has shipped on top of Elasticsearch, OpenSearch, Vespa, Algolia, vector databases, or a custom IR ... TypeScript/Node.js proficiency; comfortable with observability tooling (Datadog, Sentry ...
Has shipped on top of Elasticsearch, OpenSearch, Vespa, Algolia, vector databases, or a custom IR ... TypeScript/Node.js proficiency; comfortable with observability tooling (Datadog, Sentry ...
Has shipped on top of Elasticsearch, OpenSearch, Vespa, Algolia, vector databases, or a custom IR ... TypeScript/Node.js proficiency; comfortable with observability tooling (Datadog, Sentry ...
Senior Backend Engineer
San Francisco, CA · On-site
$200 - $250/hr
Think AI foundation models driving schema migrations, real‑time observability across ops/finance ... Expertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph ...
Senior Backend Engineer
San Francisco, CA · On-site
$200 - $250/hr
Think AI foundation models driving schema migrations, real‑time observability across ops/finance ... Expertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph ...
... observability, and deployment • Improve infrastructure for real-time and batch processing ... with Elasticsearch or large-scale search/indexing systems • Strong academic background in ...
... observability, and deployment • Improve infrastructure for real-time and batch processing ... with Elasticsearch or large-scale search/indexing systems • Strong academic background in ...
Senior Software Engineer (Remote)
Burlingame, CA · On-site +1
$155K/yr
In addition to our successful database business, we're building the industry's first observability ... Spark, Presto, ElasticSearch. * A history of open-source contributions is a plus; being a ...
Quick apply
Senior Software Engineer (Remote)
Burlingame, CA · On-site +1
$155K/yr
In addition to our successful database business, we're building the industry's first observability ... Spark, Presto, ElasticSearch. * A history of open-source contributions is a plus; being a ...
Senior Software Engineer (Remote)
Burlingame, CA · On-site +1
$155K/yr
In addition to our successful database business, we're building the industry's first observability ... Spark, Presto, ElasticSearch. * A history of open-source contributions is a plus; being a ...
Senior Software Engineer (Remote)
Burlingame, CA · On-site +1
$155K/yr
In addition to our successful database business, we're building the industry's first observability ... Spark, Presto, ElasticSearch. * A history of open-source contributions is a plus; being a ...
Senior Software Engineer (Remote)
Burlingame, CA · On-site +1
$155K/yr
In addition to our successful database business, we're building the industry's first observability ... Spark, Presto, ElasticSearch. * A history of open-source contributions is a plus; being a ...
Senior Software Engineer (Remote)
Burlingame, CA · On-site +1
$155K/yr
In addition to our successful database business, we're building the industry's first observability ... Spark, Presto, ElasticSearch. * A history of open-source contributions is a plus; being a ...
... observability capabilities are integrated in how OpenAI and Anthropic build for the enterprise ... Elasticsearch as the retrieval layer for agentic AI - giving developers building with OpenAI and ...
... observability capabilities are integrated in how OpenAI and Anthropic build for the enterprise ... Elasticsearch as the retrieval layer for agentic AI - giving developers building with OpenAI and ...
Data Platform Engineer
San Francisco, CA · On-site
$200K - $400K/yr
Improve observability, tooling, and developer experience for data, ML, and agent systems. What You ... Deep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or ...
Data Platform Engineer
San Francisco, CA · On-site
$200K - $400K/yr
Improve observability, tooling, and developer experience for data, ML, and agent systems. What You ... Deep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or ...
... observability help organizations deliver on the promise of AI. What is The Role: Elastic is ... Elasticsearch as the retrieval layer for agentic AI - giving developers building with OpenAI and ...
... observability help organizations deliver on the promise of AI. What is The Role: Elastic is ... Elasticsearch as the retrieval layer for agentic AI - giving developers building with OpenAI and ...
... observability help organizations deliver on the promise of AI. What is The Role: Elastic is ... Elasticsearch as the retrieval layer for agentic AI - giving developers building with OpenAI and ...
... observability help organizations deliver on the promise of AI. What is The Role: Elastic is ... Elasticsearch as the retrieval layer for agentic AI - giving developers building with OpenAI and ...
Principal AI Ecosystem Architect - OpenAI/Anthropic Elastic San Francisco, CA
San Francisco, CA · On-site
$200 - $250/hr
... observability help organizations deliver on the promise of AI. What is The Role Elastic is ... Elasticsearch as the retrieval layer for agentic AI -- giving developers building with OpenAI and ...
Principal AI Ecosystem Architect - OpenAI/Anthropic Elastic San Francisco, CA
San Francisco, CA · On-site
$200 - $250/hr
... observability help organizations deliver on the promise of AI. What is The Role Elastic is ... Elasticsearch as the retrieval layer for agentic AI -- giving developers building with OpenAI and ...
Principal AI Ecosystem Architect - OpenAI/Anthropic Elastic San Francisco, CA (San Francisco)
San Francisco, CA · On-site
... observability help organizations deliver on the promise of AI. What is The Role Elastic is ... Elasticsearch as the retrieval layer for agentic AI -- giving developers building with OpenAI and ...
Principal AI Ecosystem Architect - OpenAI/Anthropic Elastic San Francisco, CA (San Francisco)
San Francisco, CA · On-site
... observability help organizations deliver on the promise of AI. What is The Role Elastic is ... Elasticsearch as the retrieval layer for agentic AI -- giving developers building with OpenAI and ...
... observability help organizations deliver on the promise of AI. What is The Role Elastic is ... Elasticsearch as the retrieval layer for agentic AI - giving developers building with OpenAI and ...
... observability help organizations deliver on the promise of AI. What is The Role Elastic is ... Elasticsearch as the retrieval layer for agentic AI - giving developers building with OpenAI and ...
Principal Engineer, Software Development Engineering (Apps)
Milpitas, CA · On-site
$153K - $206K/yr
Establish and evolve standards for service design, API contracts, security, identity, observability ... Working knowledge of relational (PostgreSQL), NoSQL (MongoDB, Elasticsearch), in-memory (Redis ...
Principal Engineer, Software Development Engineering (Apps)
Milpitas, CA · On-site
$153K - $206K/yr
Establish and evolve standards for service design, API contracts, security, identity, observability ... Working knowledge of relational (PostgreSQL), NoSQL (MongoDB, Elasticsearch), in-memory (Redis ...
Principal Engineer, Software Development Engineering (Apps)
Milpitas, CA · On-site
$142K - $235K/yr
Establish and evolve standards for service design, API contracts, security, identity, observability ... Working knowledge of relational (PostgreSQL), NoSQL (MongoDB, Elasticsearch), in-memory (Redis ...
Principal Engineer, Software Development Engineering (Apps)
Milpitas, CA · On-site
$142K - $235K/yr
Establish and evolve standards for service design, API contracts, security, identity, observability ... Working knowledge of relational (PostgreSQL), NoSQL (MongoDB, Elasticsearch), in-memory (Redis ...
PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Elasticsearch * DevOps & Infrastructure: Terraform, CloudFormation, Jenkins, GitLab CI, GitHub Actions * Observability: Prometheus, Grafana, ELK Stack or ...
PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Elasticsearch * DevOps & Infrastructure: Terraform, CloudFormation, Jenkins, GitLab CI, GitHub Actions * Observability: Prometheus, Grafana, ELK Stack or ...
Establish and evolve standards for service design, API contracts, security, identity, observability ... Working knowledge of relational (PostgreSQL), NoSQL (MongoDB, Elasticsearch), in-memory (Redis ...
Establish and evolve standards for service design, API contracts, security, identity, observability ... Working knowledge of relational (PostgreSQL), NoSQL (MongoDB, Elasticsearch), in-memory (Redis ...
Senior Software Development Engineer
San Francisco, CA · On-site
$144K - $190K/yr
... our observability and security stance, and increasingly the agentic tools that transform how our ... SageMaker, Kubernetes GPU platforms); search-engine internals (OpenSearch/Elasticsearch, vector ...
Senior Software Development Engineer
San Francisco, CA · On-site
$144K - $190K/yr
... our observability and security stance, and increasingly the agentic tools that transform how our ... SageMaker, Kubernetes GPU platforms); search-engine internals (OpenSearch/Elasticsearch, vector ...
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?
| Aspect | Elasticsearch Observability Engineer | Elasticsearch Developer |
|---|---|---|
| Primary Focus | Monitoring, logging, and observability of Elasticsearch clusters and related systems | Developing, customizing, and optimizing Elasticsearch applications and integrations |
| Skills & Certifications | Knowledge of Elasticsearch, Prometheus, Grafana, scripting, and monitoring tools | Proficiency in Elasticsearch APIs, Java, REST, and development frameworks |
| Work Environment | Operations teams, DevOps, SREs, cloud environments | Development 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.
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For Elasticsearch Observability Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
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Job description
About this role
We are looking for a Product Engineer (Search) with 3–12 years of experience to own our client's developer-facing search endpoint — closing the gap between retrieval and ranking research and what developers actually feel in the API. You'll be the single person who takes a ranking improvement from research and ships it as a live, polished developer experience in days, not sprints. No PM, no hand-holding — just you, the product, and a fast-moving team building infrastructure for the AI era.
What will you be doing?
Own the search API end-to-end — response format, latency, error handling, filtering, and docs — as the sole accountable person for how it feels to developers.
Translate retrieval and ranking research wins into shipped product changes developers notice (think: 200ms latency improvements, better recall/precision tradeoffs).
Dogfood the API relentlessly — read every GitHub issue and Discord thread touching search and fix friction before users have to ask.
Run fast product experiments: form a hypothesis, instrument it, ship it, measure it, and decide quickly with imperfect data.
Define what good looks like independently — no PM to scope tickets; you set the priorities and own the outcomes.
Key Requirements
Production search experience (retrieval, ranking, relevance) at a developer-facing company — this is a hard requirement, not a nice-to-have.
Has shipped on top of Elasticsearch, OpenSearch, Vespa, Algolia, vector databases, or a custom IR stack, and owned an externally consumed search API.
Can talk fluently about BM25 vs. semantic hybrid retrieval, re-ranking, and recall vs. precision tradeoffs — unprompted.
Founding engineer DNA: has shipped features end-to-end at a sub-200-person startup (Series A–C) without a PM, designer, or QA layer.
TypeScript/Node.js proficiency; comfortable with observability tooling (Datadog, Sentry, OpenTelemetry) and cloud infra in production.