AWS Cloud Engineer

Company Overview

Incedo is a US-based consulting data science and technology services firm with over 3000 people helping clients
from our six offices across US Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering data science and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom Banking Wealth Management product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations deep
technology and domain experts and global teams. Incedo University our learning platform provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by

• Harnessing the transformational impact of emerging technologies
• Bridging the gap between business and technology

Role Description

Role Description:
As a Principle Engineer - AWS Python at Incedo you will be responsible for developing and maintaining applications on the Amazon Web Services (AWS) platform. You will be expected to have a strong understanding of Python and AWS technologies including EC2 S3 RDS and Lambda.

Guide development teams through best practices design patterns and coding standards while ensuring high-quality maintainable and secure code.

Collaborate with business teams product owners and stakeholders to convert functional requirements into detailed technical designs and implementation plans.

Lead the design and deployment of AI and cloud-native solutions using AI LLMs inbuild agents including AWS services ensuring scalability cost optimization and operational efficiency.

Identify bottlenecks and implement performance tuning strategies ensuring systems remain reliable and responsive under high load.

Lead regular code reviews and architecture discussions to enforce consistency quality and alignment with enterprise standards.

Lead the estimation planning and delivery of application and tool development efforts providing accurate timelines resource allocation and risk assessments.

Collaborate closely with cross-functional teams including product management DevOps and QA to align technical implementation with business requirements.

Drive continuous architectural improvement initiatives by defining and evolving system architecture and integration patterns promoting best practices in microservices APIs event-driven design and cloud-native solutions.

Leverage AI-driven agents within container orchestration platforms (e.g. Kubernetes) to automate deployment scaling monitoring and management of complex applications enhancing system resilience efficiency and self-healing capabilities.

Evaluate and Optimize architecture and performance across applications wherever applicable.

Provide strategic technical direction and vision by evolving the enterprise technical reference model and defining comprehensive technology and architecture roadmaps across Ceteras applications and tools to support modernization and digital transformation initiatives.

Technical Skills

Skills Requirements:

• Experience: 14 years of hands-on experience in software development with a track record of guiding technical teams.
  
  Technical Expertise: Deep knowledge of core JAVA programming languages modern frameworks cloud infrastructure and software design patterns.
  
  Technical Skills: AWS Cloud knowledge is must services like S3 Lambda Event bridge & API Gateway Java Spring boot & Python
  
  Leadership & Communication: Strong ability to communicate complex technical concepts clearly delegate effectively and resolve team conflicts.
  Incedo Inc.
  New Jersey: 100 Campus Dr #420 Florham Park NJ 07932 United States
  California: 2880 Lakeside Drive Suite 224 Santa Clara CA 95054
  
  Problem-Solving: Exceptional analytical and troubleshooting skills to navigate technical roadblocks and manage project risks.
  
  AI First Delivery: Excellent understanding of AI Native delivery model across the SDLC with hands on experience. Willing to learn and lead the team along the journey.

Nice-to-have skills

Qualifications

Qualifications

• 11-12 years of work experience in relevant field
• or MCA degree from a reputed university. Computer science background is preferred

Company Value

We value diversity at Incedo. We do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.