Image Processing Engineer Jobs in Philadelphia, PA

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.

• 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.

• 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.

• 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.

• 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.

• .Net: 10+ years of 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 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.

• 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.

• 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.

• 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.

• 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 modern AI capabilities.
• Build and mentor a strong engineering team with access to state‑of‑the‑art tools, platforms, and talent.
• Be part of an engineering culture that values technical depth at every level of seniority.

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Please see the requirements listed above.

For complementary skills, please see above and/or contact the recruiter.

Jun 22, 2026

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