Technical Lead Developer – Data Classification & Compliance
IBM
Technical Lead Developer – Data Classification & Compliance
Job Description
Technical Lead Developer – Data Classification & Compliance
📋 Job Overview
The Technical Lead Developer – Data Classification & Compliance role at IBM requires a strategic technical leader with deep expertise in both legacy mainframe systems and modern software development. The position focuses on leading data classification initiatives within the financial services industry, ensuring solutions align with business goals and regulatory compliance. The role involves high-level project planning, technical guidance, and the integration of machine learning and containerization technologies.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Serve as the primary technical leader for complex projects, providing high-level project planning and strategic direction
- Apply deep understanding of financial data types and regulatory compliance requirements to design and implement ML solutions
- Drive software architecture decisions, promoting component-based and domain-driven design principles
- Oversee the technical integration and deployment of machine learning workloads for data categorization in containerized environments
- Implement robust security practices following OWASP guidelines and Security-by-Design methodologies
- Guide and mentor engineering teams, fostering a culture of technical excellence and clean coding
✅ Required Qualifications
- Deep technical expertise in legacy mainframe systems and modern software development practices
- Experience in leading data classification initiatives within the financial services industry
- Strong technical expertise in software development and architecture
- Highly skilled in Python for data science, machine learning, and automation
- In-depth knowledge of mainframe environments including z/OS, JCL, and REXX
- Excellent understanding and experience with DB2 and VSAM databases
- Familiarity with External Security Managers (ESMs) such as RACF
- Experience with deploying machine learning models in containerized environments (Docker, zCX)
- Familiarity with Unix/Linux operating systems
- Prior experience working with large enterprises in highly regulated sectors such as Financial Services, Insurance, Government, and Transportation
⭐ Preferred Qualifications
- Familiarity with web technologies, CI/CD pipelines, test automation, and security-based design practices (OWASP)
- Familiarity with Java or JavaScript ecosystems
- Prior use of API gateways and management platforms (e.g., Apigee, Mulesoft)
- Experience with other database technologies such as IBM IMS
- Relevant certifications in software architecture, machine learning, or mainframe technologies
🛠️ Required Skills
- Legacy mainframe systems
- Modern software development practices
- Data classification
- Financial services industry knowledge
- Project planning
- Technical guidance
- Software architecture
- Component-based design
- Domain-driven design
- Machine learning
- Containerization
- Docker
- zCX
- Security practices
- OWASP guidelines
- Security-by-Design
- Mentorship
- Clean code principles
- Modern software design patterns
- Python
- Data science
- Automation
- z/OS
- JCL
- REXX
- DB2
- VSAM
- External Security Managers (ESMs)
- RACF
- Unix/Linux
- Web technologies
- CI/CD pipelines
- Test automation
- Java
- JavaScript
- API gateways
- API management platforms
- Apigee
- Mulesoft
- IBM IMS
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
- Collaborative team-focused approach
- Equal-opportunity employment
- Commitment to fair employment practices regarding citizenship and immigration status
Locations
- BANGALORE, IN, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Legacy mainframe systemsintermediate
- Modern software development practicesintermediate
- Data classificationintermediate
- Financial services industry knowledgeintermediate
- Project planningintermediate
- Technical guidanceintermediate
- Software architectureintermediate
- Component-based designintermediate
- Domain-driven designintermediate
- Machine learningintermediate
- Containerizationintermediate
- Dockerintermediate
- zCXintermediate
- Security practicesintermediate
- OWASP guidelinesintermediate
- Security-by-Designintermediate
- Mentorshipintermediate
- Clean code principlesintermediate
- Modern software design patternsintermediate
- Pythonintermediate
- Data scienceintermediate
- Automationintermediate
- z/OSintermediate
- JCLintermediate
- REXXintermediate
- DB2intermediate
- VSAMintermediate
- External Security Managers (ESMs)intermediate
- RACFintermediate
- Unix/Linuxintermediate
- Web technologiesintermediate
- CI/CD pipelinesintermediate
- Test automationintermediate
- Javaintermediate
- JavaScriptintermediate
- API gatewaysintermediate
- API management platformsintermediate
- Apigeeintermediate
- Mulesoftintermediate
- IBM IMSintermediate
Required Qualifications
- Deep technical expertise in legacy mainframe systems and modern software development practices (experience)
- Experience in leading data classification initiatives within the financial services industry (experience)
- Strong technical expertise in software development and architecture (experience)
- Highly skilled in Python for data science, machine learning, and automation (experience)
- In-depth knowledge of mainframe environments including z/OS, JCL, and REXX (experience)
- Excellent understanding and experience with DB2 and VSAM databases (experience)
- Familiarity with External Security Managers (ESMs) such as RACF (experience)
- Experience with deploying machine learning models in containerized environments (Docker, zCX) (experience)
- Familiarity with Unix/Linux operating systems (experience)
- Prior experience working with large enterprises in highly regulated sectors such as Financial Services, Insurance, Government, and Transportation (experience)
Preferred Qualifications
- Familiarity with web technologies, CI/CD pipelines, test automation, and security-based design practices (OWASP) (experience)
- Familiarity with Java or JavaScript ecosystems (experience)
- Prior use of API gateways and management platforms (e.g., Apigee, Mulesoft) (experience)
- Experience with other database technologies such as IBM IMS (experience)
- Relevant certifications in software architecture, machine learning, or mainframe technologies (experience)
Responsibilities
- Serve as the primary technical leader for complex projects, providing high-level project planning and strategic direction
- Apply deep understanding of financial data types and regulatory compliance requirements to design and implement ML solutions
- Drive software architecture decisions, promoting component-based and domain-driven design principles
- Oversee the technical integration and deployment of machine learning workloads for data categorization in containerized environments
- Implement robust security practices following OWASP guidelines and Security-by-Design methodologies
- Guide and mentor engineering teams, fostering a culture of technical excellence and clean coding
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaborative team-focused approach
- general: Equal-opportunity employment
- general: Commitment to fair employment practices regarding citizenship and immigration status
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Answer 10 quick questions to check your fit for Technical Lead Developer – Data Classification & Compliance @ IBM.
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Technical Lead Developer – Data Classification & Compliance
IBM
Technical Lead Developer – Data Classification & Compliance
Job Description
Technical Lead Developer – Data Classification & Compliance
📋 Job Overview
The Technical Lead Developer – Data Classification & Compliance role at IBM requires a strategic technical leader with deep expertise in both legacy mainframe systems and modern software development. The position focuses on leading data classification initiatives within the financial services industry, ensuring solutions align with business goals and regulatory compliance. The role involves high-level project planning, technical guidance, and the integration of machine learning and containerization technologies.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Serve as the primary technical leader for complex projects, providing high-level project planning and strategic direction
- Apply deep understanding of financial data types and regulatory compliance requirements to design and implement ML solutions
- Drive software architecture decisions, promoting component-based and domain-driven design principles
- Oversee the technical integration and deployment of machine learning workloads for data categorization in containerized environments
- Implement robust security practices following OWASP guidelines and Security-by-Design methodologies
- Guide and mentor engineering teams, fostering a culture of technical excellence and clean coding
✅ Required Qualifications
- Deep technical expertise in legacy mainframe systems and modern software development practices
- Experience in leading data classification initiatives within the financial services industry
- Strong technical expertise in software development and architecture
- Highly skilled in Python for data science, machine learning, and automation
- In-depth knowledge of mainframe environments including z/OS, JCL, and REXX
- Excellent understanding and experience with DB2 and VSAM databases
- Familiarity with External Security Managers (ESMs) such as RACF
- Experience with deploying machine learning models in containerized environments (Docker, zCX)
- Familiarity with Unix/Linux operating systems
- Prior experience working with large enterprises in highly regulated sectors such as Financial Services, Insurance, Government, and Transportation
⭐ Preferred Qualifications
- Familiarity with web technologies, CI/CD pipelines, test automation, and security-based design practices (OWASP)
- Familiarity with Java or JavaScript ecosystems
- Prior use of API gateways and management platforms (e.g., Apigee, Mulesoft)
- Experience with other database technologies such as IBM IMS
- Relevant certifications in software architecture, machine learning, or mainframe technologies
🛠️ Required Skills
- Legacy mainframe systems
- Modern software development practices
- Data classification
- Financial services industry knowledge
- Project planning
- Technical guidance
- Software architecture
- Component-based design
- Domain-driven design
- Machine learning
- Containerization
- Docker
- zCX
- Security practices
- OWASP guidelines
- Security-by-Design
- Mentorship
- Clean code principles
- Modern software design patterns
- Python
- Data science
- Automation
- z/OS
- JCL
- REXX
- DB2
- VSAM
- External Security Managers (ESMs)
- RACF
- Unix/Linux
- Web technologies
- CI/CD pipelines
- Test automation
- Java
- JavaScript
- API gateways
- API management platforms
- Apigee
- Mulesoft
- IBM IMS
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
- Collaborative team-focused approach
- Equal-opportunity employment
- Commitment to fair employment practices regarding citizenship and immigration status
Locations
- BANGALORE, IN, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Legacy mainframe systemsintermediate
- Modern software development practicesintermediate
- Data classificationintermediate
- Financial services industry knowledgeintermediate
- Project planningintermediate
- Technical guidanceintermediate
- Software architectureintermediate
- Component-based designintermediate
- Domain-driven designintermediate
- Machine learningintermediate
- Containerizationintermediate
- Dockerintermediate
- zCXintermediate
- Security practicesintermediate
- OWASP guidelinesintermediate
- Security-by-Designintermediate
- Mentorshipintermediate
- Clean code principlesintermediate
- Modern software design patternsintermediate
- Pythonintermediate
- Data scienceintermediate
- Automationintermediate
- z/OSintermediate
- JCLintermediate
- REXXintermediate
- DB2intermediate
- VSAMintermediate
- External Security Managers (ESMs)intermediate
- RACFintermediate
- Unix/Linuxintermediate
- Web technologiesintermediate
- CI/CD pipelinesintermediate
- Test automationintermediate
- Javaintermediate
- JavaScriptintermediate
- API gatewaysintermediate
- API management platformsintermediate
- Apigeeintermediate
- Mulesoftintermediate
- IBM IMSintermediate
Required Qualifications
- Deep technical expertise in legacy mainframe systems and modern software development practices (experience)
- Experience in leading data classification initiatives within the financial services industry (experience)
- Strong technical expertise in software development and architecture (experience)
- Highly skilled in Python for data science, machine learning, and automation (experience)
- In-depth knowledge of mainframe environments including z/OS, JCL, and REXX (experience)
- Excellent understanding and experience with DB2 and VSAM databases (experience)
- Familiarity with External Security Managers (ESMs) such as RACF (experience)
- Experience with deploying machine learning models in containerized environments (Docker, zCX) (experience)
- Familiarity with Unix/Linux operating systems (experience)
- Prior experience working with large enterprises in highly regulated sectors such as Financial Services, Insurance, Government, and Transportation (experience)
Preferred Qualifications
- Familiarity with web technologies, CI/CD pipelines, test automation, and security-based design practices (OWASP) (experience)
- Familiarity with Java or JavaScript ecosystems (experience)
- Prior use of API gateways and management platforms (e.g., Apigee, Mulesoft) (experience)
- Experience with other database technologies such as IBM IMS (experience)
- Relevant certifications in software architecture, machine learning, or mainframe technologies (experience)
Responsibilities
- Serve as the primary technical leader for complex projects, providing high-level project planning and strategic direction
- Apply deep understanding of financial data types and regulatory compliance requirements to design and implement ML solutions
- Drive software architecture decisions, promoting component-based and domain-driven design principles
- Oversee the technical integration and deployment of machine learning workloads for data categorization in containerized environments
- Implement robust security practices following OWASP guidelines and Security-by-Design methodologies
- Guide and mentor engineering teams, fostering a culture of technical excellence and clean coding
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaborative team-focused approach
- general: Equal-opportunity employment
- general: Commitment to fair employment practices regarding citizenship and immigration status
Tags & Categories
Answer 10 quick questions to check your fit for Technical Lead Developer – Data Classification & Compliance @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs