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No Experience Robotic Process Automation Developer Jobs in Washington, DC

Node.Digital

Automation / AIOps Engineer

Washington, DC · On-site

This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and ... Experience in developing and maintaining automation workflows, scripts, and templates. * Ability to ...

Node.Digital

Automation / AIOps Engineer

Washington, DC · On-site

This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and ... Experience in developing and maintaining automation workflows, scripts, and templates. * Ability to ...

Beth Page tech

Software Engineer

Maryland City, MD · Remote

Software Engineer Location : Remote Type : Full Time : We are seeking a motivated Junior Software ... Experience with UiPath or robotic process automation (RPA) tools is a plus but not required.

Infosys

Appian Developer

Reston, VA · On-site

... Engineering, RPA & Automation Enablement • Experience in design and optimizing Appian ... Experience in Appian Cloud, Amazon Redshift, Amazon S3, Low-Code / No-Code Platform Design ...

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How much do no experience robotic process automation developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for no experience robotic process automation developer in Washington, DC is $58.98, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $67.79 per hour, depending on experience, location, and employer.

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No Experience Robotic Process Automation Developer jobs near you

Automation / AIOps Engineer

Node.Digital

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Automation / AIOps Engineer

Location: Washington, DC

Preferred: US Citizen

Job Description:

The Automation / AIOps Engineer will be responsible for developing, implementing, and maintaining automation workflows, scripts, orchestration routines, and reusable templates to support provisioning, configuration, maintenance, monitoring response, patching, backup validation, reporting, and other operational activities within FA1. This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and AIOps capabilities to transform repetitive, manual tasks into automated, repeatable, and measurable outcomes. The role includes applying advanced analytics and machine learning-driven insights to proactively identify, correlate, and resolve infrastructure and platform issues, optimize capacity and performance, and reduce mean time to detect (MTTD) and mean time to restore (MTTR).

Requirements

Required Skills:

  • Strong expertise in automation technologies, including Infrastructure as Code (IaC), Robotic Process Automation (RPA), and orchestration tools.
  • Proficiency in AIOps practices, including the use of artificial intelligence and machine learning for operational decision support.
  • Experience in developing and maintaining automation workflows, scripts, and templates.
  • Ability to apply advanced analytics and machine learning models to improve operational outcomes.
  • Technical knowledge of cloud-native environments, virtualization platforms, and enterprise storage systems.
  • Strong problem-solving skills to detect operational drift and emerging failure conditions.
  • Excellent communication and collaboration abilities to work with cross-functional teams and stakeholders.

Nice To Have:

  • Familiarity with natural language processing (NLP), computer vision, and TensorFlow-based ML models.
  • Experience with scikit-learn and pandas for processing operational data at scale.
  • Knowledge of AI/ML pipelines and foundation model prompts.
  • Understanding of FinOps practices and cost management tools.
  • Experience with ServiceNow, monitoring tools, and configuration repositories.
  • Ability to collaborate with infrastructure automation teams and other contractor teams.

Certifications:

  • Relevant certifications in automation technologies, such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or similar.
  • Certifications in AIOps and machine learning, such as AWS Certified Machine Learning – Specialty or Google Cloud Professional Machine Learning Engineer.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training