דרושים Senior Full Stack .net - Defender Tools Feature Lead ב-Bank Of America ב-United States, Addison

Job Description:

This position is focused on design, build, and serve the Gen AI inferencing capabilities.

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

• Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems
• Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality
• Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement
• Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines
• Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes
• Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes
• Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls
• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution. Accountable for the availability, stability, scalability, security, and recoverability enabled by the designs.
• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews
• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
• Works with stakeholders to establish high-level solution needs and with architects for technical requirements
• Proficient written and verbal communication skills to support and shape the platform and clearly articulate technical designs and concepts; and to communicate effectively with all levels within the organization
• Design and execute the implementation plans to both move forward strategically, while at the same time ensuring the current technology stack is supporting current needs.
• Manage multiple priorities, and simultaneously engage with multiple teams worldwide.
• Coach and mentor team members

Required qualifications:

• 10+ years strong experience designing and delivering AI, ML, Data platform, and advanced analytics platforms capabilities using open-source technologies in large enterprise environment
• Experience with emerging technologies e.g. of GenAI (public and open source), MCP, Agents, AI BI etc.
• Hands-on experience on data science, big data, cloud, governance technologies
• Experience architecting next generation AI analytical product delivery to all levels of users in organization using self-service interfaces
• Proven track record in data, analytics, insight and AI/ML platforms supporting multiple business units.
• Experience in designing, developing, and maintaining software frameworks using Open-Source technologies such as Python, Spark, Jupyter, FastAPI, LabelStud.io, Ragas etc.
• Strong working experience of how metadata management, semantic layers, labeling, annotations is important for enabling AI BI, MCP, Agents, Data Assistants etc.
• Experience with using various Open source and Cloud model for AI BI, Summarization etc., and tuning those models and deployment to provide higher throughput for latency and cost optimizations.
• Experience of building RAG with knowledge base, data sources and Vector Store platforms such as Redis, Solar, Postgres DB, FAISS, Teradata, Oracle, SQL Server, Hadoop etc.
• Hands on experienced building RAG, RAG Fusion, CAG etc.
• Experience with various inference metrics, and related monitoring and observability.
• Experience with serving multiple tenants/clients with model endpoints with secure boundaries.
• Experience with AI gateway, OPA, authentication & authorization, policy as code, API based systems Integration, cost management, and model routing

Desired Qualifications

• Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc.
• Hands on experience on driving and maintaining a culture of quality, innovation, and experimentation.
• Research on new tools and capabilities for better UI and UX for advanced analytics platform, quick prototype and demonstrate the features and capabilities, and participate on various user forums.

Skills:

• Analytical Thinking
• Application Development
• Data Management
• Risk Management
• Solution Design
• Agile Practices
• Architecture
• Collaboration
• Decision Making
• DevOps Practices
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process
• Test Engineering

Job Description:

This job is responsible for providing leadership, technical direction and oversight to a team delivering technology solutions. Key responsibilities of the job are to provide oversight of the design, implementation, and maintenance of complex computer programs, align technical solutions to business objectives, and ensure that coding practices/quality comply with software development standards. Job expectations include conducting multiple software implementations and applying both depth and breadth in knowledge of several technical competencies.

Responsibilities:

• Designs, develops and is accountable for feature delivery
• Applies enterprise standards for solution design, coding and quality
• Ensures solution meets product acceptance criteria with minimal technical debt
• Guides the team on work breakdown and execution
• Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria
• Plays a team lead role (as an individual contributor) and mentors the team
• Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)
• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
• Utilizes multiple architectural components (across data, application, business) in design and development of client requirements.
• Performs Continuous Integration and Continuous Development (CI-CD) activities.
• Contributes to story refinement and definition of requirements.
• Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.
• Manage multiple priorities, and simultaneously engage with multiple teams.
• Be vocal and actively participate in all session with business stakeholders and agile teams.
• Collaborate with product teams, data analysts and data scientists to design and build solutions

Required Qualifications

• 8+ years of software development experience on large, complex systems focused on AI/ML/Gen AI/ Adv. analytics
• Minimum 2 years of hands on experience and knowledge generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking and summarization.
• Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc.
• Experience in designing, developing, and maintaining software frameworks using Open-Source technologies such as Python, Spark, Jupyter, FastAPI, OPA, API Six, LabelStud.io, Ragas etc.
• Knowledge of metadata management, Labeling, annotations, principles of data governance
• Hands on experience building & leading team and delivering features and capabilities.
• Experience in OOP in Python/Java programming experience with expert level development skills
• Hands-on experience in application development in one or more areas MongoDB, Redis, React Frameworks, Containers, Building API based application leveraging FAST API services, JWT Integration
• Experience on model serving pipelines and deployments in production: steps including Data prep, model tuning, training models, Deployment, Inferencing/Scoring, Monitoring and Optimization
• Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Architecture
• Business Acumen
• Risk Management
• Solution Delivery Process
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• DevOps Practices

Job Description:

Key Responsibilities:
• Design & Implementation: Design, develop and integrate solutions to gather security control evidence across multiple cloud platforms (e.g., AWS, Azure, GCP) to ensure the security and compliance of cloud infrastructure and workloads.
• Controls Evidencing and Enforcement: Identify security controls applicable to CI/CD pipeline and in the runtime environments to prevent misconfigurations, enforce security best practices and security standards.
• Compliance & Governance: Demonstrate that our cloud environments comply with internal control requirements and regulatory obligations, with robust reporting and dashboards.
• Advocacy: Communicate the possibilities the Cloud Provides for Cybersecurity vision and roadmap to stakeholders and the team and drive user adoption.
• Collaboration: Work closely with DevOps, engineering, and IT teams to integrate security best practices into CI/CD pipelines, ensuring secure and efficient deployment processes.
• Documentation: Maintain comprehensive documentation of security controls, policies, and procedures for cloud environments.

Required Skills:
• Experience: Significant experience in cybersecurity across multiple domains, with a strong focus on cloud security and integrating controls as code.
• Technical Expertise: Deep knowledge of cloud platforms (AWS, Azure, GCP) and significant experience building and operating cloud-native security tools and services.
• Programming & Scripting: Proficiency in programming and scripting languages (e.g., Python, Go, Shell) used for automation and security integration.
• Infrastructure as Code (IaC): Significant Hands-on experience building Cloud Services with IaC tools such as Terraform, CloudFormation, or similar.
• DevSecOps: Strong understanding of DevSecOps principles and experience integrating security into CI/CD pipelines and operational processes.
• Problem-Solving: Excellent problem-solving skills, with the ability to think critically and adapt to new challenges and communicate insights in simple terms.
• Communication: Strong written and verbal communication skills, with the ability influence at all levels by explain complex security concepts to non-technical stakeholders.
• Certifications: Relevant certifications such as AWS Solutions Architect; AWS Security Specialty AWS Certified Security; AWS Certified Developer; Azure Developer Associate & Azure Security Engineer Associate; Certified Kubernetes Application Developer.

Desired Skills:
• Planful: Thoughtfully setting, proactively managing, and predictably achieving commitments through strategy, process, communication, and delivery.
• Ownership: Acceptance of full responsibility for delivery outcome – “buck stops here” mentality. And collaboratively addressing problems as they arise.
• Connected: Clear orientation and understanding of where you, your team, your work/priorities join with others in a common goal.
• Consistency: Drive toward and adoption of logical, efficient, and sustainable processes and tools to achieve predictable results.
• Accuracy: Achieving business value (as agreed with key stakeholders and control partners) within defined tolerance across measurable parameters (scope, schedule, cost).
• Influence
• Result Orientation
• Solution Design
• Stakeholder Management

Job Description:

This position is focused on design, build, and serve the Gen AI inferencing capabilities.

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution.Accountable for the availability, stability, scalability, security, and recoverability enabled by the designs.
• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews
• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
• Works with stakeholders to establish high-level solution needs and with architects for technical requirements
• Proficient written and verbal communication skills to support and shape the platform and clearly articulate technical designs and concepts; and to communicate effectively with all levels within the organization
• Design and execute the implementation plans to both move forward strategically, while at the same time ensuring the current technology stack is supporting current needs.
• Manage multiple priorities, and simultaneously engage with multiple teams worldwide.
• Coach and mentor team members

Required qualifications:

• 10+ years strong experience designing and delivering AI, ML, Data platform, and advanced analytics platforms capabilities using open source technologies in large enterprise environment

• Experience with emerging technologies e.g. of GenAI (public and open source), MCP, Agents, AI BI etc.
• Hands-on experience on data science, big data, cloud, governance technologies
• Experience architecting next generation AI analytical product delivery to all levels of users in organization using self-service interfaces
• Proven track record in data, analytics, insight and AI/ML platforms supporting multiple business units.
• Experience in designing, developing, and maintaining software frameworks using Open-Source technologies such as Python, Spark, Jupyter, FastAPI, LabelStud.io, Ragas etc.
• Strong working experience of how metadata management, semantic layers, labeling, annotations is important for enabling AI BI, MCP, Agents, Data Assistants etc.
• Experience with using various Open source and Cloud model for AI BI, Summarization etc., and tuning those models and deployment to provide higher throughput for latency and cost optimizations.
• Experience of building RAG with knowledge base, data sources and Vector Store platforms such as Redis, Solar, Postgres DB, FAISS, Teradata, Oracle, SQL Server, Hadoop etc.
• Hands on experienced building RAG, RAG Fusion, CAG etc.
• Experience with various inference metrics, and related monitoring and observability.
• Experience with serving multiple tenants/clients with model endpoints with secure boundaries.
• Experience with AI gateway, OPA, authentication & authorization, policy as code, API based systems Integration, cost management, and model routing

Desired Qualifications

• Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc.
• Hands on experience on driving and maintaining a culture of quality, innovation, and experimentation.
• Research on new tools and capabilities for better UI and UX for advanced analytics platform, quick prototype and demonstrate the features and capabilities, and participate on various user forums.

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process

Job Description:

This position is focused on design, build, and serve the Gen AI inferencing capabilities.

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution
• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews
• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
• Works with stakeholders to establish high-level solution needs and with architects for technical requirements
• Collaborate with product teams, data analysts and data scientists to design and build solutions.
• Design and execute the implementation plans to both move forward strategically, while at the same time ensuring the current technology stack is supporting current needs.
• Manage multiple priorities, and simultaneously engage with multiple teams worldwide.
• Be vocal and actively participate in all session with business stakeholders and agile teams.
• Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.
• Coach and mentor team members.

Required qualifications:

• Minimum 8 years of relevant experience required.
• Experience in Model Ops and design, software development with proven effectiveness in delivering technology in fast-paced, demanding, industry driven environment for AI/ML, and advanced analytics.

• Hands on experience in both Python development on Linux. Strong understanding of modern open-source data science platform architecture for storage & compute separation, interactive development workbenches, containers, and toolsets such as Jupyter, VSCode etc.
• Experience of data sources and Vector Store platforms such as Redis, Solar, Postgres DB, FAISS, Teradata, Oracle, SQL Server, Hadoop etc.
• Experienced in using design patterns and following best software engineering practices.
• An understanding of fundamental algorithms and ability to optimize existing code.
• Proficient written and verbal communication skills to support and shape the platform and clearly articulate technical designs and concepts; and to communicate effectively with all levels within the organization.

• Experience with deploying models using vLLM/Triton Inference Server
• Performance Tuning those models and deployment to provide higher throughput.
• Experience with various inference metrics, and related monitoring and observability.
• Experience with serving multiple tenants/clients with model endpoints with secure boundaries.
• Experience with Atheization & Authorization, Policy as Code, Systems Integration, and Model Routing
• Model Evaluation frameworks to evaluate different models and their tradeoffs between efficiency and metrics.
• Experience building RAG for various knowledge bases, and document types.
• Model Monitoring – Ability to collect metrics to measure things like Model Drift, KPIs.
• Self-starter with the ability to challenge conventions, excellent communication skills.
• Strong analytical skills which enable ability to problem solve, apply reason, take initiative, use judgment, and perform concurrent tasks.
• Follows Test Driven Development practices including continual integration and clean code principles.

Desired Qualifications:

• Experience developing Gen AI training and Inferencing platform with open-source model, Gen AI Model servicing capabilities, designing RAG frameworks, MCP modules for enterprise data systems.

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process

Job Description:

Job Description: This job is responsible for planning and coordinating the execution of project/small program deliverables which requires the engagement of multiple teams. Key responsibilities include communicating work objectives, coordinating delivery, facilitating sync points across teams, providing end-to-end visibility into the health of the deliverables, and managing program risk and compliance to standards. Job expectations include ensuring delivery meets the client’s expectations in terms of the functionality, quality, timeline, and cost.

Minimum 5 Years of Experience

Responsibilities:
• Leads and coordinates routines to support delivery (for example, kick-offs, status reviews, stakeholder meetings, change controls, and tollgates, etc.)
• Manages coordination of delivery and dependencies across multiple teams
• Facilitates communication and collaboration across organizations to support the deliverable completion and timeline
• Provides status updates for the deliverables to stakeholders and leadership pertaining to delivery, risks, issues, and schedule
• Works with sponsors and stakeholders to ensure that execution is aligned with deliverable requirements
• Supports resource planning for delivery and execution
• Ensures adherence with Enterprise Change Management standards

Required Skills:
• Agile Scrum Experience and use of Jira/Confluence
• MS Project
• Technical Change Management (software/hardware deployments)
• Requires advanced understanding of the security business practices, and familiarity with the project management processes, controls and Enterprise Change Management standards
• Strong knowledge of financial services, cybersecurity products, services and technologies at a functional and data level.
• Cyber security policy, standards and project management process controls as well as other bank governance processes such as Permit to Operate, Cloud Governance, Data Transmission Registration, etc

Key Responsibilities:
• Threat Modeling & Risk Assessment: Conduct threat modeling and risk assessments to identify potential vulnerabilities in cloud environments and develop strategies to mitigate these risks.
• Design & Implementation: Develop and integrate security controls as code across multiple cloud platforms (e.g., AWS, Azure, GCP) to ensure the security and compliance of cloud infrastructure.
• Build Controls: Automate security processes and controls, leveraging Infrastructure as Code (IaC) tools (e.g., Terraform) to embed security at every stage of the cloud lifecycle.
• Delivery Controls: Create rules scanning of Infrastructure as Code at deployment to prevent non-Compliant code from creating Cloud Resources.
• Runtime Controls: Automate the detection and remediation of Non-Compliant Cloud Resources moving them back to a known good state without the need for human interaction.
• Compliance & Governance: Demonstrate that our cloud environments comply with internal control requirements and regulatory obligations, with robust reporting and dashboards.
• Advocacy: Communicate the possibilities the Cloud Provides for Cybersecurity vision and roadmap to stakeholders and the team and drive user adoption.
• Collaboration: Work closely with DevOps, engineering, and IT teams to integrate security best practices into CI/CD pipelines, ensuring secure and efficient deployment processes.
• Documentation: Maintain comprehensive documentation of security controls, policies, and procedures for cloud environments.

Minimum Years of Experience
8

• Experience: Significant experience in cybersecurity across multiple domains, with a strong focus on cloud security and integrating controls as code.
• Technical Expertise: Deep knowledge of cloud platforms (AWS, Azure, GCP) and significant experience building and operating cloud-native security tools and services.
• Programming & Scripting: Proficiency in programming and scripting languages (e.g., Python, Go, Shell) used for automation and security integration.
• Infrastructure as Code (IaC): Significant Hands-on experience building Cloud Services with IaC tools such as Terraform, CloudFormation, or similar.
• Security Frameworks: Familiarity with security frameworks and standards (e.g., NIST, CIS, ISO) and their application in cloud environments.
• DevSecOps: Strong understanding of DevSecOps principles and experience integrating security into CI/CD pipelines and operational processes.
• Problem-Solving: Excellent problem-solving skills, with the ability to think critically and adapt to new challenges and communicate insights in simple terms.
• Communication: Strong written and verbal communication skills, with the ability influence at all levels by explain complex security concepts to non-technical stakeholders.
• Certifications: Relevant certifications such as CISSP, CCSP, AWS Solutions Architect; AWS Security Specialty AWS Certified Security; Azure Developer Associate & Azure Security Engineer Associate

• Planful: Thoughtfully setting, proactively managing, and predictably achieving commitments through strategy, process, communication, and delivery.
• Ownership: Acceptance of full responsibility for delivery outcome – “buck stops here” mentality. And collaboratively addressing problems as they arise.
• Connected: Clear orientation and understanding of where you, your team, your work/priorities join with others in a common goal.
• Consistency: Drive toward and adoption of logical, efficient, and sustainable processes and tools to achieve predictable results.
• Accuracy: Achieving business value (as agreed with key stakeholders and control partners) within defined tolerance across measurable parameters (scope, schedule, cost).
• Influence
• Result Orientation
• Solution Design
• Stakeholder Management