Chief DevOps Officer

Role Name : Data and AI Solutions Architect

Location : Jersey City, NJ (Onsite)

Duration : 6-12 Months

Required Experience :

5-10 years of professional software development and solution design experience

Strong proficiency in Python programming and architectural design patterns

Extensive background with AWS cloud services and cloud-native architectures

Experience with AI / ML solution development and governance frameworks

Proven experience with data strategy frameworks including cataloging, lineage, and quality management

Hands-on experience with generative AI technologies and implementation

Key Responsibilities :

Design scalable, enterprise-grade data and AI solutions and system architectures

Build and maintain complex software solutions and AI governance platforms

Develop proof-of-concepts to validate architectural approaches and technology choices

Implement data cataloging, quality monitoring, and security frameworks

Create detailed technical specifications and implementation plans

Collaborate with cross-functional teams to translate business requirements into technical designs

Implement end-to-end solutions from design through production deployment

Technical Requirements

Core Technologies

Advanced Python development

Strong database experience : relational and non-relational

AWS services : EC2, S3, RDS, Lambda, API Gateway, Bedrock, SageMaker

Containerization and orchestration : Docker, Kubernetes, Helm

Data Strategy & Governance

Data cataloging tools and metadata management

Data quality frameworks and monitoring tools

Data security and privacy implementation (encryption, access controls, PII detection)

Data lineage tracking and impact analysis

Architecture & DevOps

Microservices architecture and RESTful API design

Infrastructure as Code : Terraform, CloudFormation

CI / CD pipelines : Jenkins, GitLab CI, GitHub Actions

Monitoring tools : Grafana, Prometheus, Loki

Version control systems (Git)

AI / ML & Generative AI

AI governance frameworks and MLOps practices

Generative AI implementation and fine-tuning (LLMs, prompt engineering, RAG)

Model monitoring, validation, and compliance implementation

Experience with OpenAI, Anthropic, or AWS Bedrock services

Understanding of AI ethics, bias detection, and regulatory requirements

Preferred Qualifications

Bachelor's degree in Computer Science or related field

Experience with big data technologies and data pipelines

Test-driven development and Agile methodologies

AWS certifications

Experience with vector databases and embedding technologies