Senior Innovation Engineer

🕒 April 1

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Digital FastForward

Digital FastForward

11 - 50 employees

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Digital FastForward is a company that specializes in helping tech leaders reimagine software solutions through co-innovation. They focus on digital transformation by offering low-code app development, improving customer experience, and implementing intelligent automation to streamline work processes and reduce costs. Digital FastForward partners with some of the world's top companies, leveraging strategies from innovative thought leaders to drive consistent innovation and efficiency. Their services are designed to help organizations accelerate their growth and gain a competitive edge by harnessing the power of digital technology and low-code application development.

📋 Description

• Serve as an in-house developer, supporting the implementation of Pega intelligent automation capabilities and features in support of client delivery projects and programs • Work with lead system architects and business architects to scope use cases and user stories to maximize use of Pega out-of-the-box capabilities • Provide input on user story design, backlog grooming, user story prioritization, and test case development • Configure and implement assigned user stories, leveraging as much of Pega’s out-of-the-box capabilities as possible • Complete unit testing of developed functionality before code reviews and branch merging • Report status for assigned user stories during the agile team’s standup cadence • Troubleshoot and resolve assigned bugs and enhancement issues

🎯 Requirements

• 5 to 7 years of experience in building and implementing model-driven, enterprise level business solutions and applications • Must have an active Pega Certified System Architect (CSA) certification or higher • Must have at least 3 years of hands-on and progressive experience implementing Pega applications • Must have a working knowledge of Pega’s Enterprise Class Structure and working knowledge of Pega rule resolution • Experience developing applications using modern technologies and frameworks, such as: AngularJS, React, REST, NodeJS, HTML5, CSS, NoSQL databases, Hadoop, Chef, iOS, Android, and AWS/Cloud Infrastructure to name a few • BS / MS in computer science or related engineering field • Strong communication skills and confident speaking and presenting in front of internal team members and external clients • U.S. Citizenship or Green Card Required

Apply Now

Similar Jobs

🕒 March 31

NOMA AI

1 - 10

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Machine Learning Research Engineer developing healthcare AI solutions at NOMA AI. Focused on real-time machine learning methodologies for clinical decision systems and patient monitoring.

🇺🇸 United States – Remote

💰 $100k Pre Seed Round - NOMA AI on 2024-07

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

Cloud

Distributed Systems

Numpy

Pandas

Python

PyTorch

Scikit-Learn

Tensorflow

🕒 March 30

Higharc

11 - 50

🏠 Real Estate

☁️ SaaS

Research Engineer developing AI solutions for residential construction at Higharc, a VC-backed startup transforming home design.

JavaScript

Python

PyTorch

React

TypeScript

🕒 March 27

SOCKET

51 - 200

📡 Telecommunications

Vulnerability Research Engineer building and scaling patching infrastructure to secure JavaScript packages. Join Socket to enhance software supply chain security for developers worldwide.

JavaScript

Node.js

Open Source

Python

Rust

TypeScript

Yarn

Go

🕒 March 27

Prime Intellect

1 - 10

🤖 Artificial Intelligence

☁️ SaaS

Research Engineer optimizing systems for large-scale reinforcement learning training infrastructure at Prime Intellect. Building an infrastructure that supports faster model training and deployment.

PyTorch

Ray

🕒 March 27

Prime Intellect

1 - 10

🤖 Artificial Intelligence

☁️ SaaS

Research Engineer developing synthetic data generation and orchestration solutions for AI infrastructure. Collaborating on innovative reinforcement learning models and publishing findings in top-tier conferences.