Sr Advanced Data Scientist (Senior Adv Software Engineer)

Sr Advanced Data Scientist (Senior Adv Software Engineer) for Vocollect, Inc. in Pittsburgh, PA

Responsibilities:

Responsible for developing and supporting Honeywell’s Voice Enterprise software platforms (Voice Console, Voice Check, Voice Link) using Agile Scrum/SAFe methodologies and expected to use industry standard tool (e.g., Jira, Bitbucket Github, Confluence, etc.).

Work directly with developers, testers, and product managers to deliver across the entire application life cycle (Concept, Design, Build, Deploy, Test, Release and Support).

Perform software development on existing products while defining/designing next generation platform such as microservices architecture (Spring Boot), flexible API development (GraphQL), container orchestration (Kubernetes) and knowledge of migrating enterprise applications to Software-as-a-Service (SaaS) model to Azure cloud.

Perform demos on features or concepts.

Participate in the Secure Software Lifecycle activities with Global and Cyber-Security teams; interact cross-functionally with Honeywell global teams, partners and customers to address customer field issues; support the learning, mentoring and on-boarding of new and/or junior team members. Experience with mobile application development for creating and deploying across iOS and Android devices.

ADDITIONAL INFORMATION:

Location: Pittsburgh, PA

40 hours/week

Employee Referral Fee: $1500

If offered employment must have legal right to work in U.S. EOE.

YOU MUST HAVE:

Qualified applicants must
have a Bachelor’s degree or foreign equivalent in Computer Science, Software
Engineering, Information Systems, or related field, and 5 years of enterprise,
webbased software development experience. Full term of experience must include:
developing, scripting, testing and troubleshooting applications developed in
Java plus one or more of the following languages: Javascript, React, Python,
C/C++; working knowledge of Spring, Springboot, Struts, SQL/No-SQL, RESTful
services, GraphQL; efficient with software version control tools (e.g,
Bitbucket, SVN, Github, GitLab) and defect tracking tools (e.g., Jira,
Bugzilla); demonstrated experience with cloud technologies including an
understanding of modern microservice-based architectures and methodologies;
experience converting enterprise applications to Software-as-a-Service
solutions by migrating it to a cloud platform (e.g. Azure); experience using
container orchestration tools (e.g. Kubernetes) for automating software
deployment, scaling, and management; and knowledge of speech recognition
technologies for transcribing spoken audio into text. Up to 10% domestics
travel required. Telecommuting is permitted up to two (2) times per week.