Insight Global is looking for a Angular in Pittsburgh – Apply Here!

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This job is an integral member of the Enterprise Technology & Operation’s Digital Chatbot team, within their agile software engineer team, responsible for building complex scalable software applications across all digital channels to serve our customers. The incumbent will be responsible for taking an enterprise-wide, architectural view of the solutions and the technical execution of products using the technical stack that best meets the needs of the platform. The incumbent and team, will be involved in every aspect at part of the software application build process from idea generation, business analysis, technical design and software development using the latest technologies and design patterns. The senior level acts as subject matter expert and provides guidance/mentor to lower level Software Engineers. This role supports the ETO digital team specific initiatives.

Responsible for designing and creating engineering specifications for software applications and programs. Responsible for designing & writing code that adheres to coding standards set forth by the Principal Engineers. Perform code reviews.

Responsible for idea generation, exploring and implementing appropriate technical solutions to achieve the required product features, as well as monitoring technical process against project plan while safeguarding functionality, scalability and performance.

Responsible for complex software applications/projects/products. May be part of a subset of the team that is responsible for setting direction on technical architecture based on business requirements.

A part of an agile work team and responsible for participating in all scrum ceremonies, assisting in sprint planning and completing required sprints in the development through final execution of software applications/programs. Communicate any issues/blockers to the Scrum Master in a timely manner.

Drive story creation (i.e. DoD, Acceptance Criteria, estimation). Creates Tasks for their stories in digital.ai agility , and updates status and assignment accordingly within Digital team.

Monitor work against production schedule and provide progress updates and report any issues or technical difficulties to lead developers on a regular basis.

Mentor and coach other associate software engineers as needed on ETO Digital team.

Comprehension and utilization of the newest, emerging, innovative technologies and applications

Apply lead level knowledge of software development best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.

Expected to conduct analysis of requirements to deliver codable solutions

Other duties as assigned or requested.

Minimum Requirements

Bachelor’s Degree or 6 years of experience web services, programming, design and analyzing solutions in lieu

5 years in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable; highly available systems to include: A) 5 years with at least one modern programming languages (Java, JavaScript preferred) and at least two of the following: Typescript, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Dialogflow, Google Cloud Platform or Amazon Web Services B) 5 years using web services technologies such as REST, HTTPS, JSON C) 5 years with one or more general purpose programming languages including but not limited to: Java, C/C , C#, Objective C, Python, JavaScript, or Go D) 5 years of defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities

Desired Skills

Master’s Degree

7 years working with a variety of technology systems, designing solutions or developing applications in healthcare to include: A) 5 years of translating design mockups, prototypes and user stories into working applications B) 3 years producing code that is fault-tolerant, efficient, and maintainable and C) 3 years working with Machine Learning esp. in Natural Language Understanding, Machine Translation, Deep Neural Networks and related fields

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