Technology Lead

Broadridge

. Develop full-stack solutions with production-grade AWS deployments .

Posted 9/15/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack development with a focus on AWS deployments, multi-tiered architecture design, and secure integration of AI/ML capabilities. Proficient in both frontend and backend technologies, with a strong emphasis on secure development practices and compliance in regulated industries.

Highest-signal resume keywords

Full-Stack DevelopmentAWS ServicesJavaScript/TypeScript, React.jsPython with FastAPI or FlaskAI/ML Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack DevelopmentMulti-Tiered Architecture DesignJavaScriptTypeScriptReact.jsPythonFastAPIFlaskPostgreSQLRESTful API Development

Soft Skills

Excellent Communication SkillsProblem-Solving AbilityProactive Mindset

Tools & Technologies

AWS EC2AWS S3AWS CloudFrontTerraformGitCI/CD PracticesOpenAI APIsAWS BedrockPGVectorOpenSearch

Certifications & Qualifications

AWS Certified DeveloperCCSKCCSP

Industry Keywords

Regulated IndustriesFinanceHealthcareInsuranceSecure Development PracticesCloud Governance FrameworksOWASPNIST 800-53ISO 27001

Tech Stack

Tools & technologies

AWSCloudEC2FlaskJavaScriptPostgresPythonReactSQLTerraformTypeScript

About the role

Key responsibilities & impact

Develop full-stack solutions with production-grade AWS deployments
Design multi-tiered architectures separating presentation, business, and data layers
Integrate RAG pipelines, semantic search, and LLMs securely in production environments
Develop frontend applications using JavaScript/TypeScript, React.js, REST APIs, and HTML/CSS
Build backend services using Python, FastAPI or Flask, RESTful APIs, PostgreSQL, or SQL Server
Use AWS services including EC2, S3, CloudFront, WAF, Glue, Elastic Beanstalk, Fargate, Secrets Manager, and Glacier
Integrate AI/ML capabilities using OpenAI APIs or AWS Bedrock, PGVector, and OpenSearch
Apply Terraform, Git, and CI/CD practices
Implement identity management, network and data segmentation, and secure data storage and transmission
Collaborate in an inclusive environment to deliver secure, scalable technology solutions

Requirements

What you’ll need

6–10 years of experience in full stack development with production-grade deployments in AWS
Experience designing multi-tiered architectures with clean separation of presentation, business, and data layers
Previous exposure to RAG pipelines, semantic search, or secure integration of LLMs in production environments
Familiarity with secure development practices and cloud governance frameworks such as OWASP, NIST 800-53, and ISO 27001
Certifications such as AWS Certified Developer, CCSK, or CCSP
Experience working in regulated industries such as finance, healthcare, or insurance
Frontend: JavaScript/TypeScript, React.js, REST API integration, HTML/CSS
Backend: Python with FastAPI or Flask, RESTful API development, PostgreSQL or SQL Server
AWS Services: EC2, S3, CloudFront, WAF, Glue, Elastic Beanstalk, Fargate, Secrets Manager, Glacier
AI/ML Integration: OpenAI APIs or AWS Bedrock, RAG pipelines, PGVector, OpenSearch
DevOps: Terraform, Git, and CI/CD practices
Security: Familiarity with identity management, network and data segmentation, and secure data storage and transmission
Excellent communication skills, problem-solving ability, and proactive mindset

Benefits

Comp & perks

Collaborative, engaging, and inclusive work environment
Workplace focused on employee safety, understanding, and value
Culture that empowers associates to be authentic and bring their best to work