Job Description

As a Software Engineer, you are comfortable designing scalable APIs and distributed systems. You will have strong interests in all things data, and a passion for delivering high quality, rock-solid code. You will be part of the core technical team that will be charting the course for the entire platform. You thrive in a collaborative, creative environment that moves fast and are comfortable learning new skills and working with unfamiliar technologies.

Think you might be MAZEGEEKian enough? If yes, we’d love to talk to you.

What You’ll Do:

• Architecture and development on our enterprise-grade data access APIs and data platform
• Architecture and development of our application APIs
• DevOps and system stability
• Serving as part of the core team for the technology stack
• Partnering closely with the Founders to bring a disruptive AI based technology platform to the beauty and fashion markets
• Investigating and prototyping new technologies

Qualifications

What You Bring to the MazeGeek Team:

• Bachelor's Degree is required
• At least 2 years of employment as a platform/back-end engineer in a professional setting
• Must have working experience on Laravel / Advanced PHP (Composer Packages)
• Must have working experience in Ajax, jQuery
• Experience third-party REST/SOAP API integration
• Solid understanding in OOP, Data Structure & Database
• Demonstrable knowledge of web technologies including HTML, CSS, Bootstrap
• Must have self-learning and exploration skill
• Good communication & leadership skill
• Experience on Vue.js framework will be a plus
• Ability to easily dive into code written in unfamiliar languages
• Expertise working with cloud platforms (DigitalOcean, AWS, Google Cloud, etc) and designing large-scale cloud architecture
• Strong experience with complex application integrations
• Ability to define data model and data storage strategies, including knowledge of distributed data systems
• Ability to manage multiple/competing priorities and make the right tradeoffs and timely delivery of features
• Strong experience planning and writing unit, functional, and integration tests, load profiling and testing, and performance and availability monitoring

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Job Description

MazeGeek is looking for an experienced Amazon Web Services architect to be part of its Cloud practice. You will be working on industry leading AWS platform to design, develop, and implement next generation data modernization solutions leveraging Cloud native and Commercial/Open Source Big Data technologies.

Key Responsibilities

As a AWS Solutions Architect, you will

• Be the force behind shaping the future of our AWS practice by leading innovation efforts and developing Intellectual Property
• Leading the attainment of AWS competencies, specializations, certifications and accreditation by MazeGeek
• Lead efforts on listing MazeGeek solutions on AWS marketplace
• Lead the development of minimum viable products for MazeGeek & AWS joint innovation solutions
• Advise clients on AWS optimized architectures for enterprise data management, craft strategy and roadmaps for on-prem to Cloud migration initiatives
• Be hands-on in developing prototypes and conducting Proof of Concepts
• conduct architectural reviews and develop cloud economic models
• Act as a trusted advisor to client on all things AWS
• Assist pre-sales team in client pitches
• Participate in technical interactions with client’s executives and senior management
• Mentor client/MazeGeek resources on AWS and its services
• Evaluate and analyze new commercial/open-source services/technologies offered by AWS, and other Big Data technology vendors
• Interface with AWS Solution Architects and Engineers on:
• Development of reference architectures and design pattern library for typical AWS based solution implementations
• Creation of MazeGeek’s new services capabilities, packaged solution offerings
• Advise on AWS set up, security and role based access implementation, and network optimizations
• Advise on DevOps strategy and methodology
• Create customer facing pre-sales collateral such as demos, technical presentations
• Assist in MazeGeek’s achievement of AWS competencies and specializations

Qualifications

• Hands-on AWS professional
• Possess thorough understanding of AWS technical landscape, business drivers, and emerging computing trends in the industry
• AWS Professional/Associate Solutions Architect certification (or similar) along with AWS Specialty level certification(s) in Big Data or Data & Analytics space
• Minimum 6 years overall experience in systems integration field with strong hands-on experience in data integration, data warehousing, and analytical projects
• Intimate familiarity with enterprise data modernization efforts, EDW migration to Cloud
• Proven track record of building technical and business relationships with senior executives
• Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow up
• Problem-solving mentality leveraging internal and/or external resources, where and when needed, to do what’s right for the customer
• Exceptional verbal and written communication
• Ability to connect technology with measurable business value
• Demonstrated technical thought leadership in customer facing situations

Requirements:

• Certified AWS Professional/Associate Solutions Architect or similar AWS Professional level certification
• 3+ years of technical management and thought leadership role with a Global/Regional System Integrator delivering success in complex data analytics projects on AWS
• 3+ year’s design and/or implementation of highly distributed applications on AWS
• 2+ years’ experience in “migrating” on premise workloads (especially EDW, Data Lake, Analytic sandboxes) to AWS
• Demonstrated experience of designing and building Big Data solutions on AWS stack leveraging Redshift, EMR, Glue, Lambda, Athena, Sagemaker, etc.
• 3+ years experience using Python as programming and scripting language
• Experience in DevOps to build CI/CD pipelines
• Experience in AGILE development, SCRUM and Application Lifecycle Management (ALM)
• Technical architectural and development experience on Massively Parallel Processing technologies, such as Redshift, Hadoop, Spark, Teradata, Netezza
• Familiarity with technical architectural experience on Data Visualization technologies, such as Tableau, Qlik, etc.
• Technical architectural experience on data modeling, designing data structures for business reporting
• Deep understanding of Advanced Analytics, such as predictive, prescriptive, etc.
• Working knowledge of cloud components: Software design and development, Systems Operations / Management, Database architecture, Virtualization, IP Networking, Storage, IT Security
• Technical prowess and passion-especially for public Cloud, modern Application design practices and principles. Accrediations on AWS preferred.
• Oversight experience on major transformation projects and successful transitions to operations support teams
• Presentation skills with a high degree of comfort to both large and small audiences

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