ZipRecruiter

Log In

2

Remote Sample Catcher Mud Logging Jobs (NOW HIRING)

Logging-in

Principal Cloud Engineer

OR · Remote

$55 - $60/hr

Remote Duration: Long Term We are seeking a Principal Cloud Engineer who thrives at the ... Create reference implementations (IaC, CI/CD templates, policy as code, sample services). * Provide ...

Catch Creation, LLC

Head of TikTok Shop

Miami, FL · Remote

At Catch Creation, we believe great ideas can come from anywhere-and our remote-first culture ... sample shipments, inventory availability, and promotional calendars with teams • Hold team ...

Wood Plc

Mid-Level Geologist/Hydrogeologist

Fresno, CA · Remote

... sampling, soil logging and monitoring well installation) throughout the Central Valley Region. *The ... May require work at remote sites around heavy construction equipment, drilling rigs, and ...

Humana

Senior Full Stack Engineer

Observability and logging - own the platform's logging, alerting, and monitoring stack; ensure the ... Cross-pod coordination - work closely with all delivery pod leads to catch quality and reliability ...

Humana

Senior Full Stack Engineer

Observability and logging - own the platform's logging, alerting, and monitoring stack; ensure the ... Cross-pod coordination - work closely with all delivery pod leads to catch quality and reliability ...

Mountville Careers

DevOps Engineer II

Lagrange, GA · Remote

$48 - $66/hr

DevOps Engineer II Location: 99% Remote Position Type: Full-time About Us Mountville Inc. is a ... Build and maintain monitoring, logging, and alerting so we catch issues before our users do.

Humana

Senior Full Stack Engineer

Observability and logging - own the platform's logging, alerting, and monitoring stack; ensure the ... Cross-pod coordination - work closely with all delivery pod leads to catch quality and reliability ...

next page

Showing results 1-20

All Jobsremote JobsHealthcare JobsHospital JobsMedical Collector JobsRemote Sample Catcher Mud Logging Jobs

Remote Sample Catcher Mud Logging information

See salary details

$11

$17

$21

How much do remote sample catcher mud logging jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote sample catcher mud logging in the United States is $17.36, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $19.23 per hour, depending on experience, location, and employer.

What is a remote sample catcher in mud logging?

Remote Sample Catchers in mud logging are professionals responsible for collecting and preparing rock and fluid samples from drilling operations, often while working remotely or off-site. They play a crucial role in monitoring the drilling process by ensuring accurate sample collection, labeling, and initial analysis, which helps geologists and drilling engineers make informed decisions. Remote Sample Catchers typically communicate with on-site teams and use digital tools to log data and transmit information to central offices. Their work is essential for maintaining data quality and operational safety in oil and gas exploration.

What are the key skills and qualifications needed to thrive as a remote sample catcher in mud logging?

To thrive as a Remote Sample Catcher in Mud Logging, you need a solid understanding of geology, drilling operations, and safe sample collection techniques, typically supported by a high school diploma or relevant field experience. Familiarity with mud logging software, gas detection systems, and laboratory equipment is essential for accurate data collection and reporting. Strong attention to detail, effective communication, and the ability to work independently in remote environments are crucial soft skills. These abilities ensure accurate geological data capture, operational safety, and smooth collaboration with drilling teams in demanding field conditions.

What are some common challenges faced by remote sample catchers in mud logging, and how can they be addressed?

Remote sample catchers in mud logging often face challenges such as maintaining clear communication with on-site teams, handling time-sensitive sample collection, and ensuring data accuracy from a distance. Overcoming these challenges typically involves utilizing reliable digital communication tools, adhering to standardized sampling protocols, and staying organized with proper documentation. Regular training on remote collaboration and technology updates helps sample catchers stay effective and responsive, ensuring seamless integration with the on-site mud logging team.

What is the difference between Remote Sample Catcher Mud Logging vs Remote Mud Logger?

AspectRemote Sample Catcher Mud LoggingRemote Mud Logger
CredentialsTechnical certifications in mud logging, geology backgroundSimilar certifications, often with additional geoscience training
Work EnvironmentOn-site at drilling sites, remote monitoring possiblePrimarily remote, with occasional site visits
Industry UsageCommonly used in oil and gas exploration, drilling operationsUsed interchangeably in industry, focusing on mud data analysis
Job FocusSample collection, initial data logging, mud analysisData interpretation, reporting, and remote monitoring

Both roles involve mud logging and require similar certifications. The main difference is that Remote Sample Catcher Mud Logging emphasizes sample collection and initial analysis on-site, while Remote Mud Logger focuses more on remote data interpretation and reporting. Both positions are vital in drilling operations and often overlap in skills and industry usage.

More about Remote Sample Catcher Mud Logging jobs

What cities are hiring for Remote Sample Catcher Mud Logging jobs?

Cities with the most Remote Sample Catcher Mud Logging job openings:

What are the most commonly searched types of Sample Catcher Mud Logging jobs?

The most popular types of Sample Catcher Mud Logging jobs are:

What states have the most Remote Sample Catcher Mud Logging jobs?

States with the most job openings for Remote Sample Catcher Mud Logging jobs include:

What job categories do people searching Remote Sample Catcher Mud Logging jobs look for?

The top searched job categories for Remote Sample Catcher Mud Logging jobs are:

Remote Sample Catcher Mud Logging jobs near you
Infographic showing various Remote Sample Catcher Mud Logging job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $36,114 per year, or $17.4 per hour.

Principal Cloud Engineer

Logging-in

OR • Remote

$55 - $60/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Role: Principal Cloud Engineer
Location: Remote
Duration: Long Term

We are seeking a Principal Cloud Engineer who thrives at the intersection of cloud architecture, platform engineering, and delivery excellence.
This is a high-impact, design-centric role responsible for shaping cloud strategy and producing implementation-ready designs that teams can execute confidently.

You will lead the design of scalable, secure, reliable systems—and you will remain close to the code and the infrastructure to ensure designs are practical, automatable, and operable.

You’ll partner with Architecture, Security, DevOps, SRE, Data, and Application teams to deliver well-architected solutions across compute, networking, identity, data, integration, observability, resiliency, and cost optimization.

Design is not just diagrams here. We expect you to establish patterns, document decisions (ADRs), validate designs through prototypes, and drive adoption through reference implementations and guardrails.
 
What You’ll Do (Core Responsibilities):
Lead cloud solution design (primary focus):
  • Own architecture and detailed design for complex cloud initiatives (greenfield + modernization). 
  • Create implementation-ready designs: 
    • Logical + physical architectures.
    • Network and identity models.
    • Security controls and threat analysis.
    • Availability, DR, and scaling strategies.
    • Data flow and integration patterns.
    • Observability and operational runbooks.
  • Produce clear and actionable artifacts, such as: 
    • Architecture decision records (ADRs).
    • Reference architectures and “golden paths”.
    • Patterns catalog (e.g., event-driven, API-first, data share, batch/stream).
    • Standards and guardrails for teams.
 
Validate designs with practical engineering:
  • Build prototypes / spike solutions to de-risk complex designs (e.g., networking, IAM, performance, data movement). 
  • Create reference implementations (IaC, CI/CD templates, policy as code, sample services). 
  • Provide technical leadership during delivery: unblock teams, review PRs, guide implementation choices, and ensure design fidelity. 
 
Establish secure, compliant, well-governed cloud platforms:
  • Define a secure-by-default posture: identity, encryption, secrets, network isolation, logging, vulnerability management. 
  • Implement governance using native cloud capabilities and automation (policies, blueprints, landing zones, guardrails). 
  • Partner with security and risk teams to ensure controls are built-in, not bolted-on. 
 
Engineer for reliability and operability (SRE mindset):
  • Design for resilience: HA patterns, DR strategies, chaos/testing approaches, graceful degradation. 
  • Create observability standards: logs/metrics/traces, SLOs/SLIs, alerting, incident response workflows. 
  • Drive operational readiness: runbooks, on-call enablement, error budgets, postmortems. 
 
Optimize cost and performance (FinOps + pragmatism):
  • Design cost-aware architectures and continuous optimization practices: right-sizing, storage tiers, reserved capacity, autoscaling. 
  • Provide guidance for performance testing, capacity planning, and scaling strategies. 
 
Mentor and elevate engineering practices:
  • Raise the bar for design quality and engineering rigor across teams. 
  • Lead architecture reviews and design sessions; coach engineers on tradeoffs and patterns. 
  • Influence without authority—build alignment across stakeholders. 
 
Lead vendor partner selection and engagement:
  • Identify, evaluate, and select cloud technology vendors and partners to support strategic initiatives.
  • Assess vendor solutions for technical fit, security, compliance, cost, and operational impact.
  • Drive RFP/RFI processes, coordinate technical due diligence, and negotiate terms with vendors.
  • Establish ongoing relationships with key partners, ensuring alignment with architecture standards and delivery goals.
 
Required Qualifications (Must Have):
  • 10+ years in software/platform engineering with significant cloud architecture ownership at scale.
  • Proven experience leading design for complex cloud systems (not just participating).
  • Demonstrated hands-on experience building and operating cloud workloads: 
    • Infrastructure as Code (Terraform strongly preferred; CloudFormation/Bicep acceptable).
    • CI/CD and release automation (GitHub Actions/Azure DevOps/Jenkins/etc.)
    • Containers and orchestration (Kubernetes/EKS/AKS/GKE; or equivalent)
  • Strong cloud fundamentals across: 
    • Identity and access management (IAM, RBAC, OAuth/OIDC, least privilege)
    • Networking (VPC/VNet, routing, peering, private endpoints, DNS, zero trust patterns)
    • Security (encryption, key management, secrets, threat modeling, posture management)
    • Reliability (HA, DR, multi-zone, multi-region strategies)
    • Observability (structured logging, distributed tracing, metrics, SLOs)
  • Experience with architecture artifacts and methodologies: 
    • ADRs, reference architectures, patterns, and well-architected reviews.
    • Ability to communicate design tradeoffs clearly to technical + executive audiences.
 
Preferred Qualifications (Nice to Have):
  • Multi-cloud design experience (Azure/AWS/GCP) or hybrid cloud design (on-prem + cloud). 
  • Strong integration architecture background: 
    • API management, event streaming, messaging, service mesh, integration platforms.
  • Data platform knowledge: 
    • Data lakes/lake houses, data sharing patterns, streaming vs batch, governance.
  • Policy-as-code tooling (OPA/Gatekeeper, Azure Policy, AWS SCPs; etc.). 
  • FinOps practices and cloud cost optimization leadership. 
  • Certifications (helpful but not required): 
    • AWS Solutions Architect Professional / Azure Solutions Architect Expert / GCP PCA.
  • Kubernetes (CKA/CKAD), Security (CCSP), etc.