Turn Job Alerts On
Citi
Irving,TX
New
Description
Lead.Net Platform Engineer (Payments Ingestion)
We are seeking an experienced, hands-on Senior.Net Lead to contribute to the development of our engineering frameworks, with a strong focus on microservice architecture. This senior engineering leadership role merges hands-on technical contribution with organizational accountability. The ideal candidate will remain deeply involved in the code and architecture while simultaneously owning the platform strategy, defining engineering standards, and guiding a scrum team in developing core functionalities within the payments lifecycle.
Key Responsibilities
1. Hands-On Technical Contribution & System Design
- Actively code in.Net developing reusable frameworks while performing system design, architecture reviews, and code reviews for the core cheque payment platform.
- Contribute to the design of distributed, fault-tolerant, real-time systems for high-volume, low-latency transaction processing.
- Write, review, and refactor production-grade code in .Net setting a high technical standard for the team.
- Independently design event-driven, microservices-based architectures utilizing REST APIs, .Net. React knowledge is a plus.
- Apply hands-on experience with Kafka, including message schema design, topic partitioning, consumer group strategies, and fault-tolerant processing.
- Design and govern data architecture across Oracle (SQL) and MongoDB (NoSQL), covering schema design, indexing strategies, query optimization, and data consistency patterns.
- Champion continuous development, feature flags, and progressive delivery, contributing to the design and optimization of CI/CD pipelines.
- Produce and review Architecture Decision Records (ADRs) and technical design documents for key platform components.
2. Engineering Excellence & Quality
- Maintain and enforce engineering standards within the scrum team, including Test-Driven Development (TDD), reusable framework development, CI/CD, secure coding, and observability.
- Conduct code reviews for critical platform components, providing detailed technical feedback to enhance team quality and capacity, ensuring the development of scalable and reusable services.
- Drive the adoption of AI-powered quality practices, including leveraging tools like GitHub Copilot for coding, utilizing LLMs (Gemini experience preferred) to improve payment processing quality, and implementing automated test script generation and vulnerability remediation.
- Lead performance engineering initiatives, including profiling JVM-based applications identifying performance hotspots, and optimizing critical settlement processing paths.
- Own the security and compliance posture of the cheque payment platform by participating in threat modeling, vulnerability assessments, and secure design reviews.
- Ensure all engineering delivery aligns with Citi Engineering Excellence Standards, including CI/CD, DevOps, cloud-native practices, and modern ways of working.
3. Platform Strategy & Domain Ownership
- Define and own the engineering roadmap for modernizing the cheque payment platform, migrating global components from monolithic mainframe and legacy applications to a reusable microservices architecture.
- Develop strong domain knowledge in the payment lifecycle, settlement, and cheque image processing to inform sound engineering decisions.
- Own the platform's SLA commitments, driving architectural decisions to meet availability, throughput, and latency targets.
- Develop cross-platform integration by governing API contracts, data flows, and system dependencies across the Payments, Settlements, DDA, and Data Lake ecosystems.
- Drive capacity planning and investment prioritization, making informed decisions on platform scaling, technology refresh, and resource allocation.
- Partner with Operations, Risk, Compliance, and Business teams to ensure the platform meets all regulatory requirements and business needs.
4. Leadership & Stakeholder Engagement
- Act as the primary engineering point of contact for the core Cheque Processing pillar, engaging with senior business, technology, and operations stakeholders.
- Clearly communicate platform health, delivery progress, engineering strategy, and risks to senior leadership.
- Partner with Product, Operations, Risk, Finance, and Compliance teams to align engineering priorities with business and regulatory needs.
- Demonstrate the ability to pivot direction to meet timelines and delivery commitments with tactical solutions, while maintaining a clear vision for strategic platform development.
Skills and Qualifications
1. Core Programming & System Architecture
- .Net: 10+ Extensive hands-on experience in high-throughput, production-grade.Net engineering, including JVM performance tuning.
- API Development: Hands-on experience building RESTful APIs with frameworks such as Spring MVC or Spring Boot.
- Microservices Architecture: Proven experience designing microservices ecosystems, including service decomposition, API design, inter-service communication, and cloud engineering.
- Event-Driven & Messaging Systems: Deep, hands-on expertise in Kafka, including topic design, partitioning, consumer groups, exactly-once semantics, and high-throughput stream processing.
- High-Performance Computing: Hands-on experience with profiling and optimization, including JVM tuning, garbage collection (GC) optimization, thread management, and memory profiling.
- High Availability & Fault Tolerance: Practical experience designing resilience patterns such as circuit breakers, bulkheads, failover, and disaster recovery.
- Databases: Hands-on expertise in Oracle (SQL) and Microsoft SQL for schema design, query optimization, and indexing, as well as MongoDB (NoSQL) for document modeling, aggregation pipelines, sharding, and replica sets.
2. Cloud & DevOps
- Cloud-Native Engineering: Hands-on experience with OpenShift/AWS, Kubernetes, and Docker for container orchestration, autoscaling, and cloud-native deployment.
- CI/CD & DevOps: Experience designing and owning CI/CD pipelines aligned with enterprise-level Engineering Excellence Standards. Experience with tools like Jenkins and Gradle/Maven.
- Observability: Hands-on experience with distributed tracing, intelligent alerting, and AI-driven observability using tools like Grafana.
- Secure Engineering: Practical experience with threat modeling, vulnerability assessments, and secure design reviews.
- Agile at Scale: Experience with Agile/SAFe delivery at the program level, including PI planning, cross-team dependency management, and delivery governance.
Good-to-Have Skills
- ML Integration: Hands-on experience with real-time ML model serving, including feature stores, online inference, and model monitoring.
- AI Frameworks: Familiarity with Retrieval-Augmented Generation (RAG) patterns, vector databases (e.g., Pinecone, Weaviate), or agentic AI frameworks (e.g., LangChain, AutoGen).
- MLOps: Knowledge of MLOps practices such as model versioning, deployment pipelines, and production model monitoring.
- Resilience Testing: Experience with chaos engineering and resilience testing, including fault injection and production readiness reviews.
- Financial Systems: Knowledge of reconciliation and exception handling patterns in settlement workflows.
- LLM Experience: Familiarity with prompt engineering and LLM fine-tuning in a regulated enterprise context.
- Python: Hands-on expertise in Python for data pipelines, AI/ML integration, scripting, and automation.
- Legacy Modernization: Experience with large-scale transformation projects, including migrating mainframe components (COBOL, Assembler) and legacy systems (C++,.NET) to a microservices architecture.
- Strategy: Experience with technology investment governance and engineering budget management.
What We Are Looking For
- A hands-on leader who actively contributes to code, frameworks, reviews, and technical problem-solving.
- A strategic thinker who is equally comfortable at the code/architecture level and the platform strategy/stakeholder management level.
- A pragmatic innovator who identifies practical, high-value opportunities to apply AI/ML without losing focus on engineering fundamentals.
- An accountable owner with a strong sense of ownership for platform quality, reliability, and delivery.
- A mentor committed to developing engineers and managers, building technical capability and leadership depth across the team.
- An effective communicator able to translate technical complexity into clear, concise updates for business and senior leadership.
Why Join Us
- Lead engineering for a central global payment platform while remaining deeply technical.
- Drive AI and engineering transformation on a high-visibility modernization initiative with significant business impact.
- Work at the intersection of high-throughput financial systems and
Turn Job Alerts On
Citi
Irving,TX
New
Description
Lead.Net Platform Engineer (Payments Ingestion)
We are seeking an experienced, hands-on Senior.Net Lead to contribute to the development of our engineering frameworks, with a strong focus on microservice architecture. This senior engineering leadership role merges hands-on technical contribution with organizational accountability. The ideal candidate will remain deeply involved in the code and architecture while simultaneously owning the platform strategy, defining engineering standards, and guiding a scrum team in developing core functionalities within the payments lifecycle.
Key Responsibilities
1. Hands-On Technical Contribution & System Design
- Actively code in.Net developing reusable frameworks while performing system design, architecture reviews, and code reviews for the core cheque payment platform.
- Contribute to the design of distributed, fault-tolerant, real-time systems for high-volume, low-latency transaction processing.
- Write, review, and refactor production-grade code in .Net setting a high technical standard for the team.
- Independently design event-driven, microservices-based architectures utilizing REST APIs, .Net. React knowledge is a plus.
- Apply hands-on experience with Kafka, including message schema design, topic partitioning, consumer group strategies, and fault-tolerant processing.
- Design and govern data architecture across Oracle (SQL) and MongoDB (NoSQL), covering schema design, indexing strategies, query optimization, and data consistency patterns.
- Champion continuous development, feature flags, and progressive delivery, contributing to the design and optimization of CI/CD pipelines.
- Produce and review Architecture Decision Records (ADRs) and technical design documents for key platform components.
2. Engineering Excellence & Quality
- Maintain and enforce engineering standards within the scrum team, including Test-Driven Development (TDD), reusable framework development, CI/CD, secure coding, and observability.
- Conduct code reviews for critical platform components, providing detailed technical feedback to enhance team quality and capacity, ensuring the development of scalable and reusable services.
- Drive the adoption of AI-powered quality practices, including leveraging tools like GitHub Copilot for coding, utilizing LLMs (Gemini experience preferred) to improve payment processing quality, and implementing automated test script generation and vulnerability remediation.
- Lead performance engineering initiatives, including profiling JVM-based applications identifying performance hotspots, and optimizing critical settlement processing paths.
- Own the security and compliance posture of the cheque payment platform by participating in threat modeling, vulnerability assessments, and secure design reviews.
- Ensure all engineering delivery aligns with Citi Engineering Excellence Standards, including CI/CD, DevOps, cloud-native practices, and modern ways of working.
3. Platform Strategy & Domain Ownership
- Define and own the engineering roadmap for modernizing the cheque payment platform, migrating global components from monolithic mainframe and legacy applications to a reusable microservices architecture.
- Develop strong domain knowledge in the payment lifecycle, settlement, and cheque image processing to inform sound engineering decisions.
- Own the platform's SLA commitments, driving architectural decisions to meet availability, throughput, and latency targets.
- Develop cross-platform integration by governing API contracts, data flows, and system dependencies across the Payments, Settlements, DDA, and Data Lake ecosystems.
- Drive capacity planning and investment prioritization, making informed decisions on platform scaling, technology refresh, and resource allocation.
- Partner with Operations, Risk, Compliance, and Business teams to ensure the platform meets all regulatory requirements and business needs.
4. Leadership & Stakeholder Engagement
- Act as the primary engineering point of contact for the core Cheque Processing pillar, engaging with senior business, technology, and operations stakeholders.
- Clearly communicate platform health, delivery progress, engineering strategy, and risks to senior leadership.
- Partner with Product, Operations, Risk, Finance, and Compliance teams to align engineering priorities with business and regulatory needs.
- Demonstrate the ability to pivot direction to meet timelines and delivery commitments with tactical solutions, while maintaining a clear vision for strategic platform development.
Skills and Qualifications
1. Core Programming & System Architecture
- .Net: 10+ Extensive hands-on experience in high-throughput, production-grade.Net engineering, including JVM performance tuning.
- API Development: Hands-on experience building RESTful APIs with frameworks such as Spring MVC or Spring Boot.
- Microservices Architecture: Proven experience designing microservices ecosystems, including service decomposition, API design, inter-service communication, and cloud engineering.
- Event-Driven & Messaging Systems: Deep, hands-on expertise in Kafka, including topic design, partitioning, consumer groups, exactly-once semantics, and high-throughput stream processing.
- High-Performance Computing: Hands-on experience with profiling and optimization, including JVM tuning, garbage collection (GC) optimization, thread management, and memory profiling.
- High Availability & Fault Tolerance: Practical experience designing resilience patterns such as circuit breakers, bulkheads, failover, and disaster recovery.
- Databases: Hands-on expertise in Oracle (SQL) and Microsoft SQL for schema design, query optimization, and indexing, as well as MongoDB (NoSQL) for document modeling, aggregation pipelines, sharding, and replica sets.
2. Cloud & DevOps
- Cloud-Native Engineering: Hands-on experience with OpenShift/AWS, Kubernetes, and Docker for container orchestration, autoscaling, and cloud-native deployment.
- CI/CD & DevOps: Experience designing and owning CI/CD pipelines aligned with enterprise-level Engineering Excellence Standards. Experience with tools like Jenkins and Gradle/Maven.
- Observability: Hands-on experience with distributed tracing, intelligent alerting, and AI-driven observability using tools like Grafana.
- Secure Engineering: Practical experience with threat modeling, vulnerability assessments, and secure design reviews.
- Agile at Scale: Experience with Agile/SAFe delivery at the program level, including PI planning, cross-team dependency management, and delivery governance.
Good-to-Have Skills
- ML Integration: Hands-on experience with real-time ML model serving, including feature stores, online inference, and model monitoring.
- AI Frameworks: Familiarity with Retrieval-Augmented Generation (RAG) patterns, vector databases (e.g., Pinecone, Weaviate), or agentic AI frameworks (e.g., LangChain, AutoGen).
- MLOps: Knowledge of MLOps practices such as model versioning, deployment pipelines, and production model monitoring.
- Resilience Testing: Experience with chaos engineering and resilience testing, including fault injection and production readiness reviews.
- Financial Systems: Knowledge of reconciliation and exception handling patterns in settlement workflows.
- LLM Experience: Familiarity with prompt engineering and LLM fine-tuning in a regulated enterprise context.
- Python: Hands-on expertise in Python for data pipelines, AI/ML integration, scripting, and automation.
- Legacy Modernization: Experience with large-scale transformation projects, including migrating mainframe components (COBOL, Assembler) and legacy systems (C++,.NET) to a microservices architecture.
- Strategy: Experience with technology investment governance and engineering budget management.
What We Are Looking For
- A hands-on leader who actively contributes to code, frameworks, reviews, and technical problem-solving.
- A strategic thinker who is equally comfortable at the code/architecture level and the platform strategy/stakeholder management level.
- A pragmatic innovator who identifies practical, high-value opportunities to apply AI/ML without losing focus on engineering fundamentals.
- An accountable owner with a strong sense of ownership for platform quality, reliability, and delivery.
- A mentor committed to developing engineers and managers, building technical capability and leadership depth across the team.
- An effective communicator able to translate technical complexity into clear, concise updates for business and senior leadership.
Why Join Us
- Lead engineering for a central global payment platform while remaining deeply technical.
- Drive AI and engineering transformation on a high-visibility modernization initiative with significant business impact.
- Work at the intersection of high-throughput financial systems and
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