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Remote Observability Jobs in Alabama (NOW HIRING)

Autodesk

$102K - $139.60K/yr

This role is fully remote-friendly, with team members distributed across the US and Canada ... Identify and resolve bottlenecks in data, compute, orchestration, and observability layers * Mentor ...

Autodesk

This role is fully remote-friendly, with team members distributed across the US and Canada ... Define scalable approaches for model deployment, inference services, monitoring, and observability ...

Autodesk

US or Canada Remote Responsibilities * Lead architecture and delivery for major ML platform capabilities across training, evaluation, deployment, and observability * Design scalable systems for ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish principles and patterns for platform scalability, reliability, security, observability ...

Relativity

Senior Software Engineer

Huntsville, AL · On-site +1

$116.80K - $154K/yr

Posting Type Hybrid/Remote Job Overview Who We Are Relativity is a leading legal data intelligence ... Solid understanding of CI/CD, observability, and incident response. * Experience guiding and ...

New

Summit 7 Systems

Infrastructure Linux Engineer

AL · On-site +1

$120K/yr

Monitor system health and performance using observability stacks such as Prometheus, Grafana, and the ELK stack, and proactively resolve issues. * Design and implement secure remote access, user ...

QBE LLC (Federal)

Cloud Solutions Engineer

Huntsville, AL · On-site +1

$55 - $73.50/hr

This position can be performed remote from anywhere, but may require up to 15% travel. As a skilled ... Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog)

PingWind

AI Solution Engineer-Platform

Huntsville, AL · On-site +1

... days remote Position Description: This position focuses on AI/ML and data execution within the ... observability platforms About PingWind PingWind is focused on delivering outstanding services to ...

Relativity

Principal Engineer

Huntsville, AL · On-site +1

Posting Type Remote/Hybrid Job Overview Relativity is aprivate equity-backed, legal data ... Continuous delivery, strong observability, and end-to-end ownership. * Inclusive Environment

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Remote Observability information

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 expertise in monitoring, logging, and tracing, typically supported by experience in systems administration or DevOps and a relevant technical degree. Familiarity with observability tools like Prometheus, Grafana, Datadog, ELK Stack, and cloud monitoring platforms, as well as certifications such as AWS Certified Cloud Practitioner or Google Professional Cloud DevOps Engineer, is highly valued. Strong analytical thinking, problem-solving, and effective communication are vital soft skills for diagnosing issues and collaborating with distributed teams. These skills and qualifications ensure reliable system performance, rapid incident response, and seamless user experiences in complex, cloud-based environments.

What are some common challenges faced by professionals in a Remote Observability role, and how can they be addressed?

Professionals in Remote Observability often face challenges such as monitoring complex, distributed systems, ensuring reliable data collection, and quickly identifying the root causes of issues without physical access to infrastructure. To address these challenges, it's essential to implement robust monitoring tools, establish clear alerting thresholds, and maintain strong communication with development and operations teams. Regular knowledge-sharing sessions and continuous learning about new observability platforms can also help remote teams stay effective and proactive.

What is remote observability?

Remote observability refers to the ability to monitor, measure, and understand the state and performance of systems, applications, or infrastructure from a distance, typically using specialized tools and platforms. It is crucial for organizations that operate distributed or cloud-based environments, as it allows teams to detect issues, analyze metrics, and ensure reliability without needing physical access to the hardware. Remote observability often involves collecting logs, metrics, traces, and other telemetry data to provide a comprehensive view of system health and performance.

What is the difference between Remote Observability vs Remote Monitoring?

AspectRemote ObservabilityRemote Monitoring
FocusComprehensive system insights, including logs, metrics, and tracesTracking specific system metrics and alerts
ToolsOpenTelemetry, Grafana, JaegerNagios, Zabbix, Datadog
Work EnvironmentDevOps, SRE teams managing complex distributed systemsIT operations teams overseeing system health
CredentialsKnowledge of cloud platforms, scripting, and monitoring toolsBasic networking, system administration skills

Remote Observability provides a holistic view of system health through logs, metrics, and traces, enabling proactive troubleshooting. Remote Monitoring focuses on tracking specific metrics and alerts to detect issues. While both roles involve system oversight, observability offers deeper insights for complex environments, whereas monitoring emphasizes real-time alerts for system stability.

What are the most commonly searched types of Observability jobs in Alabama? The most popular types of Observability jobs in Alabama are:
What are popular job titles related to Remote Observability jobs in Alabama? For Remote Observability jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Observability jobs in Alabama look for? The top searched job categories for Remote Observability jobs in Alabama are:
Remote Observability jobs near you
Senior Machine Engineer, ML Systems and Infrastructure

Senior Machine Engineer, ML Systems and Infrastructure

Autodesk

Remote

$102K - $139.60K/yr

Full-time

Posted 23 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 183 rated software companies

Job description

Job Requisition ID #

26WD98118

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation models and ML-powered product features.

This role is ideal for an engineer who is deeply interested in scalable systems and production-grade ML infrastructure. You will operate independently across multiple parts of the stack and help define strong engineering practices for reliability, performance, and maintainability.

This role is fully remote-friendly, with team members distributed across the US and Canada.

Location: US or Canada Remote, East Coast

RESPONSIBILITIES

  • Design and build scalable systems for ML training, evaluation, deployment, and monitoring

  • Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets

  • Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency

  • Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability

  • Contribute to model deployment, inference services, and production monitoring workflows

  • Improve data quality, lineage, provenance, and operational transparency across ML pipelines

  • Contribute to architecture and design discussions across the team

  • Identify and resolve bottlenecks in data, compute, orchestration, and observability layers

  • Mentor engineers through code reviews, design guidance, and knowledge sharing

  • Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines

  • Strong experience in software engineering, distributed systems, backend systems, or ML infrastructure

  • Strong proficiency in Python and experience delivering production-quality systems

  • Experience designing and operating scalable data or compute pipelines

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, CI/CD, observability, and release quality practices

  • Ability to independently drive technical execution on complex work with limited oversight

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Experience with data lineage, provenance, governance, and responsible data usage in ML systems

  • Experience with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Experience with model deployment, inference services, monitoring, and observability for production ML systems

  • Experience building ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience with distributed ML frameworks such as PyTorch, Lightning, DeepSpeed, FSDP, Megatron, or similar

  • Familiarity with AEC workflows, design data, BIM/CAD formats, or Autodesk products

THE IDEAL CANDIDATE

  • Thinks like a systems engineer and executes like a strong software developer

  • Can balance short-term delivery with long-term platform health

  • Brings strong technical judgment and ownership

  • Improves team effectiveness through mentoring and engineering rigor

  • Enjoys solving scaling, performance, and reliability challenges

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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