Application Architect-AWS

TATA Consulting Services•Chicago, IL

41d

About The Position

Mandatory Technical Skills Expertise in AWS cloud security and architecture Experience with IaaS, PaaS, and SaaS environments Strong background in security best practices Knowledge of cloud providers and security frameworks Experience in vulnerability remediation Skills in automating security processes Deep expertise in AWS services and architecture best practices, understanding of the AWS architecture pillars: Familiarity with cloud platforms (AWS) Experience with cloud security frameworks Strong knowledge of infrastructure as code Expertise in cloud migration strategies Understanding of containerization and microservices Understanding of DevOps and Preferred: MLOps practices Preferred: Strong programming skills in languages like Python, R, or Java Preferred: Proficiency in machine learning frameworks, Experience with deep learning architectures and algorithms Preferred: Knowledge of data processing and big data technologies Desirable Technical Skills Finance application Modernisation Architect Experience Bachelors, Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field Continuous learning and staying updated with the latest AI trends and technologies AWS Professional level certifications Proven experience in enterprise architecture Strong leadership and communication skills Experience in cloud transformation initiatives Expertise in developing cloud governance frameworks Proficiency in software development languages (Python, Java, C#, or similar). Strong knowledge of microservices architecture, APIs, and integration patterns. Job Responsibilities Lead enterprise architecture models and repositories Design secure cloud architectures Assess and manage cloud-related risks Ensure data security and compliance Develop strategies across multiple disciplines Design and implement AWS cloud architecture solutions following Well-Architected framework principles Lead enterprise architecture models and establish cloud standards Develop strategies across multiple domains and subject areas Facilitate development of architecture patterns Provide thought leadership in cloud technologies Guide teams in implementing cloud-native solutions Ensure cloud security and compliance adherence Optimize cloud infrastructure for cost and performance Preferred: Design and develop AI/ML solutions aligned with business objectives Preferred: Create scalable AI architectures that integrate with existing systems Preferred: Lead AI project teams and collaborate with cross-functional stakeholders Preferred: Evaluate and implement new AI technologies and methodologies Preferred: Ensure AI models are ethical, unbiased, and compliant with regulations Preferred: Optimize AI model performance and efficiency Preferred: Provide technical mentorship to data scientists and engineers Preferred: Translate complex AI concepts for non-technical audiences Preferred: Contribute to the company's AI strategy and roadmap"

Requirements

Expertise in AWS cloud security and architecture
Experience with IaaS, PaaS, and SaaS environments
Strong background in security best practices
Knowledge of cloud providers and security frameworks
Experience in vulnerability remediation
Skills in automating security processes
Deep expertise in AWS services and architecture best practices, understanding of the AWS architecture pillars: Familiarity with cloud platforms (AWS)
Experience with cloud security frameworks
Strong knowledge of infrastructure as code
Expertise in cloud migration strategies
Understanding of containerization and microservices
Understanding of DevOps and Preferred: MLOps practices
Preferred: Strong programming skills in languages like Python, R, or Java
Preferred: Proficiency in machine learning frameworks, Experience with deep learning architectures and algorithms
Preferred: Knowledge of data processing and big data technologies

Nice To Haves

Finance application Modernisation Architect Experience
Bachelors, Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Continuous learning and staying updated with the latest AI trends and technologies
AWS Professional level certifications
Proven experience in enterprise architecture
Strong leadership and communication skills
Experience in cloud transformation initiatives
Expertise in developing cloud governance frameworks
Proficiency in software development languages (Python, Java, C#, or similar).
Strong knowledge of microservices architecture, APIs, and integration patterns.

Responsibilities

Lead enterprise architecture models and repositories
Design secure cloud architectures
Assess and manage cloud-related risks
Ensure data security and compliance
Develop strategies across multiple disciplines
Design and implement AWS cloud architecture solutions following Well-Architected framework principles
Lead enterprise architecture models and establish cloud standards
Develop strategies across multiple domains and subject areas
Facilitate development of architecture patterns
Provide thought leadership in cloud technologies
Guide teams in implementing cloud-native solutions
Ensure cloud security and compliance adherence
Optimize cloud infrastructure for cost and performance
Preferred: Design and develop AI/ML solutions aligned with business objectives
Preferred: Create scalable AI architectures that integrate with existing systems
Preferred: Lead AI project teams and collaborate with cross-functional stakeholders
Preferred: Evaluate and implement new AI technologies and methodologies
Preferred: Ensure AI models are ethical, unbiased, and compliant with regulations
Preferred: Optimize AI model performance and efficiency
Preferred: Provide technical mentorship to data scientists and engineers
Preferred: Translate complex AI concepts for non-technical audiences
Preferred: Contribute to the company's AI strategy and roadmap

Benefits

Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume