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Operations Maintenance Jobs in Austin, TX (NOW HIRING)

STV

Senior Engineering Operations Manager

Austin, TX · On-site

$116K - $133K/yr

Lead development of Operations & Maintenance (O&M) plans and operational frameworks for new system start-ups and expansions * Support testing & commissioning activities, system integration testing ...

Base Power Company

Maintenance Supervisor

Austin, TX · On-site

About the Role As the Facilities and Maintenance Leader, you will oversee the operations, maintenance, and safety of Base Factory 1. The key responsibilities will be the support of building ...

VVater

Operations Manager

Austin, TX · On-site

Own field execution and O&M programs: startup checklists, preventive/predictive maintenance plans (CMMS), spares/kitting, service SLAs, and technician training. * Drive operational excellence ...

Base Power Company

Maintenance Supervisor

Austin, TX · On-site

About the Role As the Facilities and Maintenance Leader, you will oversee the operations, maintenance, and safety of Base Factory 1. The key responsibilities will be the support of building ...

VVater

Operations Manager

Austin, TX

Own field execution and O&M programs: startup checklists, preventive/predictive maintenance plans (CMMS), spares/kitting, service SLAs, and technician training. * Drive operational excellence ...

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All JobsOperations Maintenance JobsOperations Maintenance Jobs in Austin, TX

Operations Maintenance information

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$24

$46

How much do operations maintenance jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for operations maintenance in Austin, TX is $24.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $27.16 per hour, depending on experience, location, and employer.

What is operations maintenance?

Operations Maintenance refers to the ongoing activities required to keep equipment, machinery, and facilities functioning efficiently within an organization. This typically includes routine inspections, preventive maintenance, troubleshooting, and repairing any issues that arise. The goal is to minimize downtime, ensure safety, and extend the lifespan of assets. Operations Maintenance professionals work in various industries such as manufacturing, utilities, and facilities management, playing a crucial role in daily business operations.

What are some typical challenges faced in an operations maintenance role and how can they be addressed?

Operations Maintenance professionals often encounter challenges such as unexpected equipment breakdowns, tight maintenance schedules, and balancing preventive versus reactive tasks. To address these, it's important to prioritize preventive maintenance, communicate effectively with production teams to schedule downtime, and stay current with training on new technologies. Building strong relationships with other departments and maintaining accurate maintenance records can also help minimize disruptions and improve overall equipment reliability.

What are the key skills and qualifications needed to thrive as an operations maintenance professional, and why are they important?

To thrive as an Operations Maintenance professional, you need a solid understanding of mechanical and electrical systems, preventive maintenance techniques, and often a technical diploma or relevant certification. Familiarity with computerized maintenance management systems (CMMS), diagnostic tools, and safety regulations is typically required. Strong problem-solving abilities, attention to detail, and effective communication help professionals excel in this role. These skills are crucial for ensuring equipment reliability, minimizing downtime, and maintaining safe and efficient operations.

What is the difference between Operations Maintenance vs Equipment Technician?

AspectOperations MaintenanceEquipment Technician
Required CredentialsHigh school diploma or equivalent; technical certifications often preferredHigh school diploma; technical certifications or associate degree often required
Work EnvironmentIndustrial plants, manufacturing facilities, or facilities managementManufacturing floors, industrial sites, or equipment repair shops
Employer & Industry UsageManufacturing, facilities management, energy, and utilitiesManufacturing, industrial maintenance, and equipment repair
Common Search & Comparison IntentUnderstanding roles in maintenance and operationsTechnical repair and equipment troubleshooting

Operations Maintenance professionals focus on maintaining and operating industrial systems, ensuring smooth facility functions. Equipment Technicians specialize in repairing and troubleshooting specific machinery. While both roles require technical skills and certifications, Operations Maintenance covers broader operational tasks, whereas Equipment Technicians focus on equipment-specific repairs.

What cities near Austin, TX are hiring for Operations Maintenance jobs?

Cities near Austin, TX with the most Operations Maintenance job openings:

Operations Maintenance jobs near you
Infographic showing various Operations Maintenance job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $50,033 per year, or $24.1 per hour.

Cloud Service Security Platform DevOps & Maintenance

BitDeer

Austin, TX • On-site, Remote

$52.25 - $71.50/hr

Full-time

Posted 10 days ago

Job description

About Bitdeer Technologies Group
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/
Job Description
You are the paved road for every AI product we ship - the CI/CD, IDP, and MLOps substrate that lets model teams deploy without opening a ticket.
This is an entry-to-mid level role
Position Summary
Bitdeer is building an AI-operated GPU cloud, and the AI Cloud team ships the products on top of it. As Cloud Senior DevOps Engineer you build the paved road those products travel down: CI/CD, infrastructure-as-code, MLOps pipelines, and the Internal Developer Platform that lets model, data-science, and product teams deploy at speed without stepping around governance. You are the bridge between research and production, and the operator of the platform substrate the AIOps team plugs into.
Key Responsibilities
  • CI/CD & MLOps Pipeline Management: Design, implement, and maintain end-to-end CI/CD pipelines for both software applications and machine learning models. Automate build, test, deployment, and rollback processes to ensure seamless transitions from innovation to production.
  • Cloud-Native & AI Infrastructure: Build, optimize, and scale cloud-native infrastructure using Kubernetes (K8s) and Docker. Manage and provision specialized computing resources (e.g., GPU clusters) to support high-performance AI workloads and model inferencing.
  • High Availability Architecture: Take ownership of high-availability design in production environments. Implement disaster recovery (DR) strategies, self-healing mechanisms, capacity planning, and performance tuning to meet stringent business SLAs.
  • Infrastructure as Code (IaC): Champion IaC practices utilizing tools such as Terraform, Ansible, and Helm to achieve fully automated, reproducible, and auditable infrastructure provisioning across multiple cloud environments.
  • Observability & Monitoring: Architect and refine comprehensive monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK/EFK stack) to provide deep visibility into system health, application performance, and AI model metrics. Feed the AIOps substrate with clean, well-labeled telemetry.
  • Internal Developer Platform (IDP): Build the paved road that lets product, model, and data-science teams deploy without opening a ticket. Make golden paths so obvious that shortcuts feel harder than doing it right.
  • Cross-functional Collaboration: Work closely with R&D, Data Science, Security, and Business teams to streamline workflows, eliminate bottlenecks, and continuously elevate engineering efficiency.
  • Governance, Security & Compliance: Establish and enforce system stability and security standards. Manage release workflows, implement Zero Trust access controls, oversee secrets management, and ensure compliance (e.g., SOC2, ISO27001).
  • Incident Management & Resolution: Act as the technical lead during complex system anomalies and major incidents. Spearhead rapid troubleshooting, thorough RCA, and preventative remediation - and turn each incident into an automation that stops the next one before it pages a human.
Basic Qualifications
  • Experience & Education: Bachelor's degree or above in Computer Science, Engineering, or a related technical field, with 5+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles.
  • Networking & OS: Expert-level knowledge of Linux operating systems and core networking principles (TCP/IP, DNS, HTTP, Load Balancing, VPCs).
  • Containerization & Orchestration: Deep mastery of Docker and Kubernetes orchestration, including a thorough understanding of underlying principles, cluster management, and production-level best practices.
  • Cloud Platforms: Proven proficiency in designing and managing infrastructure on major Public or Hybrid Cloud platforms (e.g., AWS, GCP, Azure, Alibaba Cloud), including multi-cloud and hybrid-cloud strategies.
  • Programming Skills: Strong coding and scripting capabilities in at least one major language (Go, Python, Shell, etc.) with a solid engineering-oriented mindset focused on automation and tooling development.
  • Domain Knowledge: Systematic and practical understanding of CI/CD methodologies, Infrastructure as Code (IaC), Observability paradigms, and Site Reliability Engineering (SRE) principles.
  • Soft Skills: Exceptional problem-solving abilities, sharp technical judgment, and excellent cross-team communication skills to effectively collaborate in a fast-paced, dynamic environment.
Preferred Qualifications (Plus)
  • AI/ML Infrastructure Experience: Familiarity with MLOps practices, model serving/inferencing frameworks (e.g., vLLM, TGI, Triton Inference Server), and experience managing GPU clusters for AI/ML workloads.
  • Large-Scale Systems: Proven track record working with large-scale distributed systems or high-concurrency environments (e.g., Fintech, Trading, Real-time processing, or AI platforms).
  • Platform Engineering: Hands-on experience in designing and building Internal Developer Platforms (IDP) to enhance developer autonomy and productivity.
  • Advanced Security: Deep familiarity with Zero Trust architecture, automated security testing (DevSecOps), and implementing strict compliance frameworks (e.g., SOC2, ISO27001).
  • Leadership: Prior experience acting as a Technical Lead, mentoring junior engineers, or managing DevOps teams.
  • AIOps Builder Mindset: You see incidents, tickets, and manual runbooks as source material for the next automation, not as steady-state work. You've either wired an LLM-driven code/config helper into a pipeline or have strong opinions on how to.
  • Paved-Road Philosophy: You think in golden paths and defaults, not policies; you'd rather make the right thing easy than write a doc scolding people for doing the wrong thing.

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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