SMX
Robotic Process Automation (RPA) Developer (5409)
United States
No sponsorship$115k-$165kDetected 4 days ago
AWSMachine LearningData VisualizationRoboticsCommunicationAdaptability
About the role
- Have you been looking to shift your career into high gear?
- We invest in our biggest asset - our people!
- From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
Responsibilities
- SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
Requirements
- Bachelor's degree
- Ability to represent and uphold our core values of integrity, client service, expertise, adaptability, communication, and teamwork
- 3 Years experience as an RPA developer with any one of these tools (UiPath, Blueprism, Automation Anywhere, or Pega)
- 1 Year experience in any programming language
Compensation
- $115,000 - $165,000 USD
Benefits
- At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits.
- Some key components of our robust benefits include health insurance, paid leave, and retirement.
- We share your vision for the future and strive to accelerate your impact on the world.
- Selected applicant may be subject to a background investigation and/or education verification.
Equal opportunity
- SMX is an Equal Opportunity employer including disabilities and veterans.
Visa & Work Authorization
- SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization t
This listing is sourced directly from SMX's careers page and normalized into a canonical job model.