Be responsible for providing technical leadership and defining, developing, and evolving software on AWS platform for physical-digital projects such as inspection, deep learning and AI projects.
Design AWS architecture that meets key functional and non-functional requirements (security, compliance, performance, resiliency, and availability). Perform trade off analysis to identify best solutions with multiple evaluation criteria.
Provide guidance to developers on use and implementation of AWS services to develop the physical-digital software.
Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse with AWS services as framework.
Lead impact assessment and decision related to technology choices, design /architectural considerations and implementation strategy.
Take lead in navigating through ambiguity and prioritizing conflicting asks. Work with different teams to prioritize different options based on value, speed and reliability of solutions.
Expert level skills in design, architecture and development on AWS, with an ability to take a deep dive in the implementation aspects if the situation demands.
Leads the architecture and design efforts across the product / multiple product versions and is an expert in architecting custom solutions off the base AWS services.
Use lean principles to remove defects in data and management practices, develop strategies with physical (manufacturing, services) in mind.
Job Characteristics:
Technical Expertise:
Expert in the area of architecture and solution development with AWS services as base and is able to guide GE business teams on best options for solutions.
Facilitates and coaches software engineering team sessions on requirements estimation and alternative approaches to team sizing and estimation. Leads a community of practice around estimation to share best practices among teams
Publishes guidance and documentation to promote adoption of design. Proposes design solutions based on research and synthesis; creates general design principles that capture the vision and critical concerns for a program.
Guides new teams to adopt Agile, troubleshoots adoption efforts, and guide continuous improvement. Provides training on Lean / Agile. Drives elimination of inefficiencies in coding process. Teaches XP practices to others. Actively embraces new methods and practices that increase efficiency and effectiveness.
Business Acumen:
Strong problem-solving abilities and capable of articulating specific technical topics or assignments
Experience in building scalable and highly available distributed systems
Expert in breaking down problems and estimate time for development tasks
Evangelizes how our technology solves customer problems from a technology and business perspective
Leadership:
Demonstrates clarity of thinking to work through limited information and vague problem definitions
Influences through others; builds direct and “behind the scenes” support for ideas
Proactively identifies and removes project obstacles or barriers on behalf of the team
Shares knowledge, power, and credit, establishing trust, credibility, and goodwill
Personal Attributes:
Able to work under minimal supervision
Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
Able to work well with global teams, including time-zone flexibility
Skilled in providing oversight and mentoring team members. Shows ability to effectively delegate work
Qualifications/Requirements:
Required Qualifications
Bachelor’s Degree Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with 8 years of experience minimum.
Require at least 5 years’ experience in architecture and solution design.
Require at least 5 years’ experience in implementing large projects in AWS using services such AutoScaling, CloudFormation, Kafka, Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, GraphDB, Lambda, Spark, Glue, Sage Maker, Hive, Presto, AI/ML, etc.
Desired Characteristics:
Master’s degree is preferred.
Strong experience in developing AI-based applications for industrial environments, industrial software and user experience design in energy, transportation and healthcare segment.
