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Remote Elastic Engineer Jobs (NOW HIRING)

Experian

Staff AI Architect, Remote

$115K - $208K/yr

Establish and govern DevOps standards across the organization: CI/CD pipeline design, GitOps ... Elastic/OpenSearch. Additionally, it involves multi-account/multi-region AWS topology. * Lead ...

Ntrepid Corporation

DevOps Engineer 16 - DEVOP16

$54 - $74/hr

Experience securing remote infrastructure is strongly preferred. Responsibilities * Drives efforts ... Experience with OpenSearch/Elastic search in a redundant highly available environment. * Experience ...

Chainguard

Senior Software Engineer (Guarded OS)

$157K - $184K/yr

Operate and develop the Elastic Build service, our Kubernetes + GitHub + Cloud Run pipeline that ... Able to work independently and communicate clearly in a remote-first environment. Nice to haves:

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Remote Elastic Engineer information

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$38K

$115.9K

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How much do remote elastic engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote elastic engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Elastic Engineer vs Remote Data Engineer?

AspectRemote Elastic EngineerRemote Data Engineer
Required CredentialsBachelor's in CS, experience with Elasticsearch, cloud platformsBachelor's in CS or related, experience with data pipelines, SQL, cloud platforms
Work EnvironmentCollaborates with DevOps, backend teams, cloud infrastructureWorks with data teams, analytics, database systems
Industry UsageTech, e-commerce, SaaS companies using ElasticsearchFinance, healthcare, tech firms managing large datasets

Remote Elastic Engineers focus on implementing and maintaining Elasticsearch clusters for search and analytics, while Remote Data Engineers build and manage data pipelines and storage solutions. Both roles require cloud experience and technical skills but differ in their core focus areas within data and search infrastructure.

Does Elastic offer remote work options?

Elastic offers remote work options for many of its roles, including Elastic Engineers, depending on the company's policies and the specific position. Remote work may require familiarity with collaboration tools and cloud-based environments. Candidates should review the job listing for location requirements and remote work policies.

How can I make $2000 a week working from home?

A Remote Elastic Engineer can potentially earn $2000 a week by working on high-demand projects, leveraging specialized skills in Elasticsearch, and maintaining a strong portfolio. Increasing hourly rates through certifications and working on multiple contracts or freelance platforms can also help reach this income level. Consistent remote work, effective time management, and building a reputation for quality are key factors.

What jobs make $10,000 a month without a degree?

Remote Elastic Engineers can potentially earn $10,000 or more per month through freelance projects, consulting, or high-demand specialization, especially with strong skills in Elasticsearch, cloud platforms, and scripting. Success depends on experience, reputation, and the ability to secure high-value contracts, often without formal degrees but with proven expertise. Many high-paying tech roles focus on skills and certifications rather than formal education alone.

What engineers make $500,000?

Senior engineers in high-demand fields such as software development, data engineering, and cloud infrastructure can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. These roles often require advanced certifications, expertise in tools like AWS or Kubernetes, and may include stock options or bonuses that contribute to total compensation.
More about Remote Elastic Engineer jobs
What cities are hiring for Remote Elastic Engineer jobs? Cities with the most Remote Elastic Engineer job openings:
What are the most commonly searched types of Elastic Engineer jobs? The most popular types of Elastic Engineer jobs are:
What states have the most Remote Elastic Engineer jobs? States with the most job openings for Remote Elastic Engineer jobs include:
What job categories do people searching Remote Elastic Engineer jobs look for? The top searched job categories for Remote Elastic Engineer jobs are:
Remote Elastic Engineer jobs near you
Infographic showing various Remote Elastic Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Staff AI Architect, Remote

Experian

Remote

$115K - $208K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
Overview
We are looking for a Staff Software Architect to lead the technical vision and architectural strategy for our cloud-native platform and agentic AI capabilities. You will help shape how our systems are designed and evolved at scale. You will also promote infrastructure excellence across the organization, driving their design, deployment, and evolution at scale. You will report to the Sr. Principal Engineer
Responsibilities:
  • Manage and evolve the end-to-end architectural blueprint for cloud-native applications at scale - covering compute, data, networking, security, and observability layers on AWS.
  • Define and promote agentic AI architecture patterns, including multi-agent systems, tool orchestration, memory and retrieval strategies, LLM routing, guardrails, and feedback loops. Translate these patterns into relevant standards and reusable reference architectures.
  • Establish and govern DevOps standards across the organization: CI/CD pipeline design, GitOps practices, deployment strategies (blue/green, canary, progressive delivery), environment parity, and release engineering.
  • Design and oversee platform infrastructure. This includes ECS, Kubernetes clusters (EKS), service mesh, API gateway strategy, secrets management, IAM/RBAC governance, and data stores like DynamoDB, Aurora RDS, Postgres, Elastic/OpenSearch. Additionally, it involves multi-account/multi-region AWS topology.
  • Lead architecture reviews and provide binding technical decisions on high-risk changes - balancing velocity, reliability, cost, and security.
  • Define SLOs/SLIs/error budgets, logging standards, distributed tracing, capacity planning, and incident response frameworks.
  • Introduce new technologies through structured PoC and risk assessment processes; build internal communities of practice around architectural patterns.
  • Produce architecture decision records (ADRs), system context diagrams, threat models, and runbooks that serve as the source of truth for platform design.
  • Be a technical advisor to Product and Partners - translating architectural constraints and capabilities into clear strategic options.
  • Mentor staff and senior engineers on architectural thinking, systems design, and engineering leadership; conduct design reviews that raise the technical bar across teams.

Qualifications
  • B.S. or M.S. degree in Computer Science, Systems Engineering, or a related discipline
  • 8+ years of experience in software engineering and systems architecture, with 3+ years in a dedicated architect or principal engineer role.
  • 5+ years of AWS architecture experience at scale - including multi-account organization design, landing zone/Control Tower, VPC design, IAM governance, and cost optimization
  • Experience architecting distributed systems and services that sustain high availability (≥99.99%), low latency, and elastic scalability under variable production load.
  • Experience designing agentic AI architectures: orchestration layers, agent frameworks (LangGraph, AutoGen, Semantic Kernel, or equivalent), tool/API integration, evaluation pipelines, and operational monitoring of AI systems.
  • DevOps and platform engineering expertise: Kubernetes (EKS), Terraform/CDK, Helm, ArgoCD/Flux (GitOps), GitHub Actions/Jenkins/Harness CI/CD, and container security practices.
  • Background in API gateway patterns (REST, gRPC, async event-driven).
  • Experience establishing SRE practices including SLO definition, error budgets, runbooks, chaos engineering, and game days.
  • Grasp of cloud security architecture: zero-trust networking, secrets management (Vault, AWS Secrets Manager), SIEM integration, and compliance frameworks (SOC 2, ISO 27001)
  • Experience working across data architecture concerns: streaming pipelines (Kafka, Kinesis), data lakes, OLAP/OLTP boundary design, and caching strategies (ElastiCache, Redis).
  • Experience presenting architecture artifacts - C4 diagrams, sequence diagrams, threat models, ADRs
  • Experience scaling engineering organizations through architecture standards, platform investment, and internal developer experience improvements.
  • #LI-Remote

Additional Information
Benefits/Perks
  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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