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Elasticsearch Remote Jobs in California (NOW HIRING)

Senior Back End Engineer

San Francisco, CA · On-site +1

$175K - $195K/yr

Work extensively with Elasticsearch - indexing, querying, aggregations, performance tuning, and ... Unlimited PTO with encouragement to actually use it * Remote First Policy : Work from anywhere in ...

Location The company has always operated as a fully remote team. As such, you should be comfortable ... Elasticsearch, Redis, Memcache * Unit / integration / acceptance testing Salary and benefits Pay is ...

Experience with vector search databases (Pinecone, Weaviate, Elasticsearch). Familiarity with cloud-based AI platforms and containerization tools. Excellent problem-solving, analytical, and ...

Software Engineer

San Francisco, CA · On-site +1

$166K - $235K/yr

... Elasticsearch. You enjoy fast-paced entrepreneurial environments where you can solve difficult ... Employee divides their time between in-office and remote work. Access to an office location is ...

DevOps Engineer

San Jose, CA · Remote

$61.75 - $84.75/hr

... remote teams across time zones. _____ Preferred Qualifications • Experience with GitHub Actions/Workflows, and GitLab CI. • Experience with distributed databases such as PostgreSQL, Elasticsearch ...

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with Elasticsearch, including cluster tuning, index design, and scaling search workloads ...

Software Engineer

San Francisco, CA · On-site +1

$118K - $183K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Elasticsearch, Solr) * 1+ years of experience with distributed data processing frameworks (e.g ...

Experience with Kubernetes, Containerization (Docker), Kafka, Elasticsearch and Redis * Experience ... Ability to interact with diverse groups of people including remote and offshore teams * Experience ...

Sr. Architect, Software Engineering

Carlsbad, CA · Remote

$133K - $180K/yr

Experience with Kubernetes, Containerization (Docker), Kafka, Elasticsearch and Redis * Experience ... Ability to interact with diverse groups of people including remote and offshore teams * Experience ...

Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards ... Hands-on experience with search engines (Opensearch or Elasticsearch) * Strong understanding of ...

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Showing results 1-20

Elasticsearch Remote information

See California salary details

$82.4K

$125.4K

$168.8K

How much do elasticsearch remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for elasticsearch remote in California is $125,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $141,600.00 per year, depending on experience, location, and employer.

What is an Elasticsearch remote?

An Elasticsearch Remote job is a position where professionals work with Elasticsearch, a powerful search and analytics engine, from a remote location. These roles typically involve tasks such as optimizing search performance, managing Elasticsearch clusters, and integrating Elasticsearch with various applications. Remote Elasticsearch professionals can work as developers, engineers, or administrators, ensuring efficient indexing, querying, and data management. Companies hire remote Elasticsearch experts to maintain and scale their search infrastructure without requiring on-site presence. This type of job offers flexibility while allowing specialists to contribute to large-scale data and search projects.

What does an Elasticsearch remote do?

As a remote Elasticsearch specialist, your daily tasks often include configuring and managing Elasticsearch clusters, monitoring performance, optimizing queries, and troubleshooting data issues. You will also work with development and DevOps teams to implement new features and ensure the reliability and scalability of search infrastructure. Regular collaboration via chat, video meetings, and project management tools is common, and you may participate in peer code reviews and knowledge-sharing sessions. Staying up to date with the latest Elasticsearch developments and documenting best practices are also important aspects of the role.

What are the key skills and qualifications needed for an Elasticsearch remote?

To thrive as an Elasticsearch Remote professional, you need strong experience with Elasticsearch, data indexing, distributed systems, and query optimization, typically supported by a background in computer science or a related field. Familiarity with tools such as Kibana, Logstash, Beats, as well as cloud platforms (AWS, GCP, or Azure), and relevant certifications like Elastic Certified Engineer are often required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial for success in a distributed work environment. These competencies ensure that you can build, maintain, and improve scalable search solutions while collaborating efficiently across remote teams.

What are the most commonly searched types of Elasticsearch jobs in California?

The most popular types of Elasticsearch jobs in California are:

What are popular job titles related to Elasticsearch Remote jobs in California?

For Elasticsearch Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Elasticsearch Remote jobs in California look for?

The top searched job categories for Elasticsearch Remote jobs in California are:

What cities in California are hiring for Elasticsearch Remote jobs?

Cities in California with the most Elasticsearch Remote job openings:

Infographic showing various Elasticsearch Remote job openings in California as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $125,368 per year, or $60.3 per hour.

Senior Back End Engineer

Troveo AI Inc

San Francisco, CA • On-site, Remote

$175K - $195K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago


Job description

About Troveo
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. We have created the world's largest licensed platform of scarce, proprietary data for AI, spanning video, audio, text, and business workflows.
Troveo indexes, enriches, and packages this high-quality data into formats ready for training, fine-tuning, evaluation, and agentic use cases. Backed by top investors, we're a small, high-impact team solving one of the biggest bottlenecks in AI development.
About the Role
We are hiring a Senior Backend Software Engineer with deep expertise in building scalable, reliable systems. You will design and operate backend services, with strong expertise in Elasticsearch, container orchestration, and systems architecture.This is a high-impact senior role where you will be building and evolving backend systems while driving best practices in distributed architecture and observability.
Key Responsibilities
  • Design, develop, and maintain scalable backend services and APIs using microservices architecture
  • Build and operate production workloads on Kubernetes (deployments, services, ingress, autoscaling, Helm, etc.)
  • Work extensively with Elasticsearch - indexing, querying, aggregations, performance tuning, and cluster management
  • Apply distributed systems concepts to design fault-tolerant, highly available, and scalable systems
  • Optimize application performance and reliability in distributed and containerized environments
  • Design and implement robust CI/CD pipelines with GitOps and Kubernetes-native deployments
  • Troubleshoot complex issues across services, ECS and EKS clusters, and Elasticsearch
  • Improve system observability, monitoring, and alerting in distributed environments
  • Participate in architectural decisions and mentor engineers on distributed systems and Kubernetes best practices
  • Collaborate with platform teams to evolve internal tooling and developer experience

Job Requirements
  • 10+ years of professional software engineering experience (strong backend focus)
  • Strong hands-on experience with Kubernetes (minimum 3+ years running production workloads)
  • Solid experience working with Elasticsearch (indexing strategies, query optimization, cluster scaling, etc.)
  • Strong understanding of distributed systems concepts (consistency models, partitioning, replication, consensus, failure handling, CAP theorem, etc.)
  • Proficiency in at least one backend language: Go, Python, or Java.
  • Experience with Docker and container orchestration
  • Experience with cloud-managed Kubernetes (EKS, GKE, or AKS)
  • Good understanding of microservices architecture and inter-service communication patterns
  • Experience with relational and/or NoSQL databases
  • Familiarity with infrastructure-as-code tools (Terraform preferred)

Preferred Requirements
  • Experience with GitOps tools (Argo CD / Flux)
  • Knowledge of service mesh (Istio, Linkerd)
  • Experience with workflow orchestration tools (Temporal, Airflow, etc.)
  • Background in building or operating search-heavy systems
  • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK stack)
  • Contributions to open-source projects related to Kubernetes or distributed systems

Compensation
  • Base Salary: $175,000 - $195,000 (depending on experience and location)
  • Equity: Competitive equity package in a well-funded AI startup with significant upside

Compensation is location-adjusted for cost of living. We are open to candidates in California, New York, and select other states.
What We Offer
  • Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees)
  • Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it
  • Remote First Policy: Work from anywhere in the US (with occasional team offsites)
  • Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders
  • Equity Ownership: Competitive equity package with clear growth potential as we scale
  • Modern Tech Stack & Tools: Budget for the best equipment and software
  • Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance

We believe great work happens when people are supported, challenged, and given ownership.
Equal Opportunity Employer
Troveo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.