ZipRecruiter

Log In

1

Technical Operations Engineer Jobs (NOW HIRING)

Medlytix

Technical Operations Engineer

Roswell, GA · On-site

The Technical Operations Engineer is responsible for supporting the performance, reliability, and visibility of the Medlytix Production System. This role serves as a hybrid technical function ...

Saildrone

Technical Operations Engineer

Alameda, CA · On-site

$78K - $106K/yr

THE POSITION Saildrone is seeking a Technical Operations Engineer to join our Fleet Operations Team. Reporting to the Senior Manager, Technical Operations Engineer, you will play a critical role in ...

Profound

Technical Operations Engineer

New York, NY · On-site

$130K - $170K/yr

We are hiring a Technical Operations Engineer to own the reliability, security, and scalability of our identity, endpoint, and IT infrastructure systems. You will work directly with our Engineering ...

next page

Showing results 1-20

All JobsTechnical Operations Engineer Jobs

Technical Operations Engineer information

See salary details

$36K

$85K

$135K

How much do technical operations engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for technical operations engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a technical operations engineer?

To thrive as a Technical Operations Engineer, you need a strong background in systems administration, troubleshooting, and network management, usually supported by a degree in computer science or a related field. Familiarity with infrastructure monitoring tools, cloud platforms (such as AWS or Azure), and scripting languages is typically required, along with relevant certifications like AWS Certified SysOps Administrator or CompTIA Network+. Exceptional problem-solving, communication, and teamwork skills help you respond effectively to operational challenges and collaborate across departments. These abilities are crucial for minimizing downtime, ensuring system reliability, and supporting business continuity.

What are some common challenges technical operations engineers face when supporting live production systems?

Technical Operations Engineers often encounter challenges such as troubleshooting critical incidents under time pressure, balancing multiple high-priority tasks, and ensuring system uptime during deployments or upgrades. They must quickly diagnose complex issues, often requiring collaboration with development and infrastructure teams. Strong communication skills and the ability to remain calm in high-stress situations are essential for success in this fast-paced, dynamic role.

What is the difference between Technical Operations Engineer vs Network Operations Center (NOC) Technician?

AspectTechnical Operations EngineerNOC Technician
CredentialsTypically requires a degree in IT, Computer Science, or related certifications like CompTIA Network+ or Cisco CCNAOften requires similar certifications, such as CompTIA Network+ or Cisco CCNA, but may have less emphasis on formal degrees
Work EnvironmentWorks in data centers, IT departments, or cloud environments, focusing on system stability and performanceOperates in 24/7 NOC centers monitoring network health and troubleshooting connectivity issues
Employer & Industry UsageUsed across tech companies, cloud providers, and enterprise IT teamsCommon in telecommunications, internet service providers, and large enterprise networks

While both roles involve maintaining IT infrastructure, Technical Operations Engineers focus on system and application performance, whereas NOC Technicians primarily monitor network health and respond to outages. The roles often overlap but differ in scope and environment.

What does a technical operations engineer do?

A technical operations engineer is responsible for maintaining and supporting the infrastructure, systems, and services of an organization. They troubleshoot technical issues, automate processes, monitor system performance, and ensure reliability and security, often using tools like scripting languages and monitoring software. This role typically requires strong technical skills, problem-solving abilities, and knowledge of network and server environments.
More about Technical Operations Engineer jobs

What cities are hiring for Technical Operations Engineer jobs?

Cities with the most Technical Operations Engineer job openings:

What states have the most Technical Operations Engineer jobs?

States with the most job openings for Technical Operations Engineer jobs include:

What job categories do people searching Technical Operations Engineer jobs look for?

The top searched job categories for Technical Operations Engineer jobs are:

Technical Operations Engineer jobs near you
Infographic showing various Technical Operations Engineer job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.

Technical Operations Engineer

Medlytix

Roswell, GA • On-site

Full-time

Re-posted 24 days ago

Job description

The Technical Operations Engineer is responsible for supporting the performance, reliability, and visibility of the Medlytix Production System. This role serves as a hybrid technical function combining production monitoring, telemetry analysis, workflow orchestration support, and automation engineering.

Working under the direction of the Director, this individual plays a critical role in maintaining operational health across distributed systems, data pipelines, and workflow orchestration environments. The position requires strong hands-on expertise with monitoring tools, telemetry platforms, cloud technologies, and data processing systems.

The Technical Operations Engineer evaluates system behavior, investigates production issues, supports and maintains monitoring of production systems, and drives automation and reliability improvements. The ideal candidate is highly proficient in relevant technical tools and platforms, with the ability to effectively monitor, analyze, and improve production systems.

This role also requires strong critical thinking and problem-solving skills to evaluate complex system behaviors, identify root causes, and implement effective solutions across interconnected systems.

Responsibilities:

  • Monitor systems, workflows, and data pipelines to ensure optimal performance, high data quality, and system reliability
  • Build and maintain monitoring dashboards, alerts, and observability frameworks using telemetry tools
  • Analyze workflow performance metrics (latency, failures) and identify trends or anomalies
  • Support workflow orchestration platforms (e.g., Airflow) to ensure successful job execution and dependency management
  • Troubleshoot workflow failures, data pipeline issues, and system disruptions across distributed environments
  • Perform root cause analysis using logs, telemetry data, and execution history, and provide actionable recommendations
  • Manage and respond to production incidents, including triage, escalation, and coordination with cross-functional teams
  • Ensure data quality and integrity by implementing validation checks and identifying anomalies early
  • Develop automation scripts and tools to reduce manual operational effort and improve efficiency
  • Identify opportunities to improve system reliability, fault tolerance, and operational scalability
  • Collaborate with Engineering, Product, and Data teams to resolve issues and enhance system performance
  • Communicate technical findings clearly and contribute to operational reporting and dashboards

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field, with 3+ years of experience in technical operations, data engineering, or business intelligence
  • Strong proficiency in SQL and experience with Python or scripting for troubleshooting, analysis, and automation
  • Hands-on experience with workflow orchestration tools (e.g., Airflow) and data pipelines
  • Familiarity with cloud platforms (AWS preferred) and monitoring/observability tools (e.g., Datadog, CloudWatch)
  • Proven ability to perform root cause analysis and troubleshoot complex issues across distributed systems
  • Strong critical thinking and problem-solving skills with the ability to quickly learn and apply new tools and technologies
  • Effective communication skills with the ability to translate technical findings into actionable insights
  • Exposure to ML/AI concepts, tools, or operational use cases is a plus

Apply