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Remote Zoo Jobs in Virginia (NOW HIRING)

All JobsZoo JobsRemote Zoo JobsRemote Zoo Jobs in Virginia

Remote Zoo information

See Virginia salary details

$12.6K

$62.1K

$162.4K

How much do remote zoo jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote zoo in Virginia is $62,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,772.00 and $88,986.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a zoo keeper, and why are they important?

To thrive as a Zoo Keeper, you need a background in animal science, biology, or a related field, often supported by a relevant degree or certification in animal care. Familiarity with animal management software, safety protocols, and specialized equipment for feeding and habitat maintenance is essential. Strong observational skills, teamwork, and clear communication set outstanding zoo keepers apart. These skills are crucial for ensuring animal welfare, maintaining safety standards, and delivering engaging educational experiences to the public.

What are some common challenges faced by remote zookeepers, and how can they be addressed?

Remote zookeepers often face challenges related to monitoring animal health and behavior without being physically present, which can make it harder to detect subtle changes. Effective communication and collaboration with on-site staff are crucial, as is leveraging technology such as remote cameras and sensor systems to provide real-time updates. Staying organized, maintaining detailed records, and participating in regular virtual meetings can help remote zookeepers stay connected and responsive to the animals' needs.

What is a remote zoo?

A Remote Zoo job typically involves managing, monitoring, or supporting virtual or remote wildlife experiences, education, or conservation efforts. This could include roles such as virtual zookeepers, digital content creators for zoos, customer support for live animal cams, or remote wildlife researchers. Tasks may involve coordinating live feeds, engaging with online audiences, assisting with remote animal care management, or analyzing wildlife data. These roles allow professionals to contribute to animal care and conservation efforts without being physically present at a zoo or wildlife facility.

What is the difference between Remote Zoo vs Remote Data Analyst?

AspectRemote ZooRemote Data Analyst
Required CredentialsTypically zoology, biology, or environmental science degreesStatistics, data analysis, or related degrees
Work EnvironmentWildlife reserves, zoos, or conservation organizations (often on-site or field-based)Remote, office-based, or home-based data analysis settings
Industry UsageWildlife conservation, zoological parks, environmental NGOsBusiness, healthcare, finance, tech sectors
Common Search/ComparisonRemote Zoo vs Remote Data Analyst

The main difference between Remote Zoo and Remote Data Analyst lies in their industry focus and work environment. Remote Zoo roles are centered around wildlife and conservation efforts, often requiring fieldwork or on-site presence, whereas Remote Data Analysts primarily work with data analysis in various industries from home or office settings. Both roles may require analytical skills, but their credentials and daily tasks differ significantly.

What are the most commonly searched types of Zoo jobs in Virginia?

The most popular types of Zoo jobs in Virginia are:

What are popular job titles related to Remote Zoo jobs in Virginia?

For Remote Zoo jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Zoo jobs in Virginia look for?

The top searched job categories for Remote Zoo jobs in Virginia are:

What cities in Virginia are hiring for Remote Zoo jobs?

Cities in Virginia with the most Remote Zoo job openings:

Remote Zoo jobs near you
Infographic showing various Remote Zoo job openings in Virginia as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $62,060 per year, or $29.8 per hour.

Site Reliability Engineer (OpenSearch) - Remote

Information Consulting Services

Herndon, VA • Remote

$58.50 - $78/hr

Full-time

Posted 9 days ago

Job description

Contract Details

  • Work Mode: 100% Remote (US-based)
  • Location: Herndon, VA
  • Schedule: 40 hours/week
  • Duration: 08/17/2026 08/16/2027
  • Type: Contract with potential to convert to full-time after ~12 months (not guaranteed)

About the Opportunity

Seeking a Site Reliability Engineer to ensure availability, performance, scalability, and security for mission-critical, cloud-hosted search and analytics services built on OpenSearch. You will focus on reliability engineering, operations, automation, and continuous improvement for distributed platforms, working within a diverse, globally distributed team.

Key Responsibilities

  • Provision, build, deploy, monitor, operate, and support cloud services in a global team environment.
  • Architect, build, deploy, and maintain high performance OpenSearch clusters and platforms from the ground up.
  • Optimize OpenSearch for high availability, resiliency, scalability, security, and performance.
  • Monitor and troubleshoot cluster health, node performance, indexing throughput, search latency, shard allocation/replication, and storage utilization.
  • Analyze and resolve operational issues across infrastructure, platform, and application layers; lead incident response, RCA, and remediation.
  • Maintain integrity and security of servers, systems, and OpenSearch platform infrastructure.
  • Support lifecycle activities: installation, configuration, upgrades/patching, backup/restore, and disaster recovery.
  • Develop and maintain monitoring policies, alerting standards, runbooks, and support procedures.
  • Automate testing, deployment, scaling, recovery, and operational workflows for OpenSearch and related cloud services.
  • Plan capacity for compute, memory, storage, and network; partner with engineering to enhance reliability and operational readiness.
  • Support log ingestion, index management, lifecycle/retention, and search performance tuning.
  • Participate in an on-call rotation; support occasional weekend/after-hours needs.

Required Qualifications

  • US citizenship required; dual citizenship not permitted.
  • 8 years of experience in SRE/DevOps/cloud operations with distributed systems.
  • Proven, hands-on experience designing, building, deploying, operating, and optimizing OpenSearch clusters from scratch in production.
  • Expert-level Kubernetes experience (operations, troubleshooting, management, configuration of complex services).
  • Deep OpenSearch administration: cluster architecture, performance tuning, scaling, upgrades, and troubleshooting; index/shard/replica strategy; sizing; snapshot/restore; backup/DR.
  • Strong Linux expertise (SUSE and Ubuntu).
  • Expertise with Git and Concourse (pipeline setup, management, troubleshooting).
  • Experience with Kafka and Zookeeper; strong automation for testing, deployment, scalability, and cloud service management.
  • Experience building/implementing/supporting cloud monitoring and observability; solid knowledge of cloud computing, infrastructure operations, databases, web services, networking, virtualization, and internet protocols.
  • Security fundamentals for SaaS multi-tenant application systems; excellent communication and prioritization skills; ability to multitask.

Preferred Qualifications

  • AWS experience (e.g., Route 53, EC2, S3, CloudWatch, DynamoDB, RDS, IAM, ACM, KMS, VPC); experience deploying/operating OpenSearch in AWS.
  • Experience with Cloud Foundry environments.
  • Experience with Jenkins, Chef, and/or Terraform.
  • Experience with Prometheus and Grafana.
  • Background with log ingestion pipelines, index lifecycle management, retention strategies, and search platform security controls.
  • Familiarity with capacity forecasting, performance benchmarking, and resilience testing for distributed search platforms.

Work Environment

  • Collaborative, globally distributed team with cross-training opportunities.
  • Participation in an on-call rotation and occasional after-hours/weekend support.
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