Design, build, test, deploy, and enhance enterprise automation solutions using RPA, AI Engineering, API Engineering, and system integration patterns.
Translate business requirements into end-to-end technical solutions that automate workflows across multiple systems and teams.
Build automation workflows with strong error handling, exception management, retry logic, and observability.
Deliver solutions that are scalable, supportable, and aligned with operational realities.
Implement automation solutions that combine deterministic workflow execution with AI agent-based decisioning where appropriate.
Select the right mix of RPA, APIs, enterprise integration platforms, and AI agent automation based on complexity, risk, and business value.
Contribute reusable patterns for orchestration, tool use, and automation safety.
Build and maintain integrations on AWS or enterprise integration platforms and API-led automation patterns as a core part of the automation stack.
Design integrations that connect enterprise applications, data sources, and automation workflows in a secure and maintainable way.
Partner with application and platform teams to define interface contracts, integration patterns, and dependencies.
Ensure automation solutions are reusable, well-documented, and production-ready.
Support production automation solutions through issue resolution, root-cause analysis, and continuous improvement.
Improve deployment quality, platform health, observability, and runtime stability.
Establish strong engineering practices for testing, documentation, review, and controlled change management.
Mentor software engineers and help establish strong technical standards for the automation team.
Contribute to architecture reviews, design reviews, and implementation reviews for complex automation initiatives.
Help define reusable frameworks and patterns that accelerate delivery across the portfolio.

Requirements

8+ years of experience in software engineering, automation engineering, integration engineering or a related field.
5+ years of experience in RPA platforms such as UiPath, Automation Anywhere, Blue Prism, Mulesoft RPA.
2+ years of experience developing GenAI engineering solutions on AWS Bedrock, Azure, Google Vertex etc.
Strong hands-on experience designing and building API integrations in AWS or on one or more enterprise integration platforms in a complex enterprise environment.
Experience building and maintaining production-grade automation workflows with strong attention to reliability, supportability, and quality.
Strong understanding of enterprise APIs, systems integration, and workflow orchestration.
Experience translating business requirements into technical designs and production solutions.
Strong debugging, problem-solving, and cross-functional collaboration skills.
Current, role-relevant certifications in core automation platforms are required. If a required certification is not active at the time of hire, the candidate must be able to obtain or renew it within 30 days of start date. Employees in this role are expected to keep required certifications active thereafter.

Benefits

Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
Free testing for Natera employees and their immediate families.
Fertility care benefits.
Pregnancy and baby bonding leave.
401k benefits.
Commuter benefits.
Generous employee referral program.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

RPAAI EngineeringAPI Engineeringsystem integrationautomation workflowserror handlingexception managementAWSGenAI engineeringworkflow orchestration

Soft Skills

problem-solvingcross-functional collaborationmentoringdocumentationcontinuous improvement

Certifications

RPA platform certifications