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Remote Observability Engineer Jobs in Baton Rouge, LA

MasteryPrep

Backend Product Engineer

Baton Rouge, LA · On-site +1

$130K - $140K/yr

Remote - USA Description MasteryPrep helps students succeed on the ACT, SAT, TSIA, WorkKeys, and ... Experience with observability tooling and incident response. Benefits * $130,000 - $140,000 salary ...

Databricks

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

... the Field Engineering team for depth in the specific domain. This position can be remote. The ... and observability systems * Serve as a trusted technical advisor to customer architects ...

All JobsObservability Engineer JobsRemote Observability Engineer JobsRemote Observability Engineer Jobs in Baton Rouge, LA

Remote Observability Engineer information

See Baton Rouge, LA salary details

$36.5K

$111.3K

$183.9K

How much do remote observability engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote observability engineer in Baton Rouge, LA is $111,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a remote observability engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.

What are the typical collaboration patterns for a remote observability engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

What are the key skills and qualifications needed to thrive as a remote observability engineer, and why are they important?

To thrive as a Remote Observability Engineer, you need strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

What is the difference between Remote Observability Engineer vs Site Reliability Engineer?

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What are popular job titles related to Remote Observability Engineer jobs in Baton Rouge, LA?

For Remote Observability Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Remote Observability Engineer jobs in Baton Rouge, LA look for?

The top searched job categories for Remote Observability Engineer jobs in Baton Rouge, LA are:

Remote Observability Engineer jobs near you
Infographic showing various Remote Observability Engineer job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,257 per year, or $53.5 per hour.

Backend Product Engineer

Baton Rouge, LA • On-site, Remote

MasteryPrep
Education Programs Administration • 51 - 200 employees
Learn more about MasteryPrepexternal

$130K - $140K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago

Job description

Backend Product Engineer
Department: Product
Employment Type: Full Time
Location: Remote - USA
Description
MasteryPrep helps students succeed on the ACT, SAT, TSIA, WorkKeys, and other high-stakes assessments. Our test delivery and learning platforms serve schools and students who count on them working every day. We're looking for a Backend Product Engineer to own the data and backend systems that power those products and platforms.
This is an AI-first role. We build with AI-native development practices - using AI coding tools as a core part of the daily workflow and designing systems with AI capabilities in mind from the start, not bolted on later. You should be excited about that way of working, not just tolerant of it.
You'll be building products, and responsible for all of our data and backend systems, and you'll work closely with our Site Reliability Engineer to manage and develop the environment - keeping it reliable, secure, and ready to scale.
What You'll Do
  • Own the design, development, and maintenance of our backend services and data systems that power our products.
  • Build and maintain APIs and services running on Google Cloud Platform (GCP).
  • Manage our data layer across PostgreSQL, Firestore, and Firebase - including schema design, data integrity, migrations, and performance.
  • Practice AI-first development: use AI coding and development tools daily, and help shape how the team applies them.
  • Design backend systems that support AI-powered product features (for example, integrating LLM APIs and building the data pipelines that feed them).
  • Partner closely with our SRE to manage, monitor, and improve the environment - deployments, observability, incident response, and infrastructure decisions.
  • Safeguard the data of the schools and students we serve through sound security and privacy practices.
  • Write clear documentation and communicate technical decisions to both technical and non-technical teammates.
  • Cloud: Google Cloud Platform (GCP)
  • Databases: PostgreSQL, Firestore
  • Platform services: Firebase
  • Language: TypeScript/Python
  • Workflow: AI-native development - AI tooling is a first-class part of how we build

What We're Looking For
  • 5+ years of professional backend development experience.

  • Strong technical skills and solid experience building and running production APIs and services.
  • Hands-on experience with relational databases (PostgreSQL preferred) - schema design, queries, and performance tuning.
  • Experience with a major cloud platform; GCP experience is a requirement, as is Firebase/Firestore.
  • Genuine enthusiasm for AI-assisted development - you already use tools like Claude Code, Cursor, or Copilot and can speak to how they've changed the way you work.
  • Experience integrating AI/LLM APIs into applications, or a strong desire to build that skill quickly.
  • Comfort collaborating on infrastructure and reliability work - you don't need to be an SRE, but you should care about how your systems run in production.
  • Clear communication and the ability to work well with teammates across engineering, product, and support.
  • Experience in education technology or with assessment/testing platforms.
  • Familiarity with accessibility requirements (WCAG) and how they shape product decisions.
  • Experience with data migrations between environments (for example, staging to production).
  • Experience with observability tooling and incident response.

Benefits
  • $130,000 - $140,000 salary range
  • Employee benefits eligibility (health, disability, AD&D, life insurance).
  • Matching 401k
  • Paid time off
  • Generous paid holidays
  • Ability to work fully remote
  • Company supplied device/laptop

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