Lead Software Engineer – Cloud

Job Description:

BASIC PURPOSE:

Cloud Engineer who will be responsible for the plan, design, as well as deployment automation of platform solutions on AWS. Instrumental in profiling and improving front-end and back-end application performance, mentor team members and take end to end technical ownership of applications. Must be able to stay on top of technology changes in the market and continuously look for opportunities to leverage new technology.

ESSENTIAL FUNCTIONS:   

• Design, build and implement performant and robust cloud platform solutions.
• Design and build data pipelines for supporting analytical solutions.
• Provide level of effort estimates to support planning activities.
• Provide microservices architecture and design specifications.
• Fix defects found during implementation process or reported by the software test team.
• Support software process definition and improvement initiatives and release process working with DevOps team in CI/CD pipelines developed with Terraform and CDK as Infrastructure-as-Code.

• Execute security architectures for cloud systems.

• Understand and recognize the quality consequences which may occur from the improper performance of their specific job; has awareness of system defects that may occur in their area of responsibility, including product design, verification, and validation, and testing activities.
• Mentor less experienced team members.

Collaborate with Product Designers, Product Managers, Architect and Software Engineers to deliver compelling user-facing products.

REPORTING RELATIONSHIPS: 

Reports to Engineering Manager

QUALIFICATIONS:

• Bachelor’s degree in Computer Science / related engineering field OR equivalent experience
• in related field.
• 10+ years of experience in cloud application development.
• Expert proficiency in Javascript / TypeScript.
• Experience in architecting and developing event driven cloud-based solutions.
• Experience in AWS services including API Gateway, AppSync, Amplify, S3, CloudFront, Lambda, ECS/Fargate, Step Functions, SQS, Event Bridge, Cognito, Dynamo, Aurora PostgreSQL, OpenSearch/Elasticsearch, AWS Pinpoint.
• Extensive experience in developing applications in POSIX compliant environments.
• Strong knowledge of containerization, with expert knowledge of either Docker or Kubernetes
• Proficient in IAM security and AWS Networking.
• Expert understand of building and working with CI/CD pipelines.
• Experience in designing, developing and creating data pipelines, data warehouse applications and analytical solutions including machine learning.
• Deep cloud domain expertise in: architecture, big data, microservice architectures, cloud technologies, data security and privacy, tools, and testing
• Excellent programming skills in data pipeline technologies like Lambda, Kinesis, S3, EventBridge and MSK
• Extensive experience with Service Oriented Architecture, microservices, virtualization and working with relational databases and non-relational databases.
• Excellent knowledge of building big data solutions using NoSQL databases.
• Experience with secure coding best practices and methodologies, vulnerability scans, threat modeling, and cyber-risk assessments.
• Familiar with modern build pipelines and tools
• Ability to understand business requirements and translate them into technical designs
• Familiarity with Git code versioning tools
• Good written, verbal communication skills
• Great team player

PREFERRED SKILLS:

• Experience with RDBMS and is a plus
• Experience in Java, .NET, Python is a plus
• Experience in big data solutions and analytics; using BI tools like Power BI or AWS QuickSight is a plus
• Experience with other cloud computing platforms

Azure or AWS Certification such as a Solutions Architect Expert, Azure Fundamentals, data scientist, developer, etc.

CRITICAL COMPETENCIES FOR SUCCESS:

Analytical Skills: Demonstrate aptitude towards analytical and problem-solving skills and the ability to conceptually pull together patterns or connections that are not clearly related; ability to assess relevant facts, identify alternative approaches and provide the best course of action.

 Strategic Agility: Eagerness and ability to learn quickly and leverage a flexible mindset in response to shifting dynamics, adversity, and/or change; continually pushes oneself, their teams, and their businesses to learn, to generate new ideas

* Disciplined Execution: Orientation towards a process-focused, decisive course of action that will ensure client/customer needs are met with a high standard of excellence, urgency and predictability; focused on the task at hand in the face of ambiguity, and applies past experiences and expertise to consistently pull through results.

* Organizational Collaboration: Ability to partner across organizational lines and work cooperatively within and outside one’s own team in order to best serve client needs and exceed the expectations of end customers and clients; actively supports key decisions and promote a spirit of teamwork to demonstrate the commitment to the company