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Remote Observability Engineer Jobs in Kansas (NOW HIRING)

$89K - $122K/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 ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Demonstrable knowledge of Observability tools (New Relic, Splunk, DataDog) * Comprehensive ...

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 ...

US or Canada Remote Responsibilities * Lead architecture and delivery for major ML platform ... Guide the design of model deployment, inference services, monitoring, and observability for ...

... observability practice, and build an Internal Developer Platform with golden paths that make ... remote state, and GitOps-based plan/apply pipelines - no unmanaged resources Audit the cloud estate ...

New

... observability practice, and build an Internal Developer Platform with golden paths that make ... remote state, and GitOps-based plan/apply pipelines - no unmanaged resources Audit the cloud estate ...

New

Senior Software Engineer II

Topeka, KS · On-site +1

$197K - $232K/yr

Remote Department Engineering Compensation: $197.4K - $232K • Offers Equity At Confluent, we are ... Improve service reliability and operations by defining SLOs/SLAs, strengthening observability, and ...

Senior AI/ML Engineer

Topeka, KS · On-site +1

$98K - $135K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with A/B testing and telemetry/observability systems to measure impact and reliability.

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Proficient in scripting for automation and observability such as Bash, Python, or similar scripting ...

New

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Proficient in scripting for automation and observability such as Bash, Python, or similar scripting ...

Improve observability and operational readiness (monitoring, alerting, tracing, dashboards ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Improve observability and operational readiness (monitoring, alerting, tracing, dashboards ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Work closely with infrastructure engineers on Supabase + AWS environments, observability, and ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

Work closely with infrastructure engineers on Supabase + AWS environments, observability, and ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

Data Engineer AI

Overland Park, KS · On-site +1

$108K - $130K/yr

Implement automated validation and observability layers to detect data drift and quality issues ... LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Establish best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability ... Actively mentor engineers, conducting technical workshops, leading design reviews, and ...

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... That means thinking through orchestration, error handling, observability, cost, and how things ...

$111K - $143K/yr

Deploy and support best-in-class observability/monitoring tools. * Deploy and manage containerized ... site, remote, or dispersed across global networks. Our platform automates network discovery ...

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Showing results 1-20

Remote Observability Engineer information

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

Senior Machine Engineer, ML Systems and Infrastructure

Autodesk

Remote

$89K - $122K/yr

Full-time

Posted 17 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 191 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.

Autodesk logo

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