The Digital S/W Engineer Lead Analyst is a lead-level professional role. This individual applies deep disciplinary knowledge to pioneer new techniques, drive strategic improvements in processes and workflow across multiple functions, and set technical direction for teams. This role demands a high degree of independent judgment, strategic thinking, and the ability to influence technical outcomes across the organization.
We are seeking highly experienced and technically astute full-stack software engineers who are not only passionate about solving complex business problems through innovative engineering practices but also possess the leadership capabilities to guide and mentor teams. This role involves leading the design and development of critical software components, driving architectural decisions, and ensuring the delivery of high-quality, scalable solutions. The Lead Analyst will be responsible for defining technical strategies, mentoring junior and intermediate engineers, and championing best practices in modern cloud-based software development, agile methodologies, code quality, and advanced tool usage. This role is instrumental in shaping software architecture and significantly contributing to Citi’s technical excellence and user base.
Strategic Technical Leadership: Provide expert guidance and strategic oversight across the entire software development lifecycle, partnering continuously with senior stakeholders to align technical solutions with business objectives.
Architectural Stewardship: Lead the design and evolution of robust, scalable, and secure enterprise applications, defining architectural patterns and ensuring adherence to best practices in cutting-edge technologies and software design patterns.
Team & Project Leadership: Drive complex engineering initiatives within Agile delivery teams, fostering a culture of collaboration, excellence, and continuous improvement. Lead sprint goal achievement, oversee code quality, and actively participate in and lead broader Citi technical communities and advanced Agile/Scrum processes.
Mentorship & Coaching: Act as a technical mentor and coach for junior and intermediate engineers, fostering their growth, critical thinking, and advanced problem-solving capabilities.
Advanced Problem Solving & Troubleshooting: Exhibit mastery in analyzing and resolving intricate coding, application performance, and design challenges. Lead cross-functional efforts to diagnose and troubleshoot complex system issues.
Proactive Root Cause Analysis: Spearhead thorough investigations to identify systemic root causes of development and performance bottlenecks, leading the implementation of comprehensive, long-term defect resolutions and preventative measures.
Technical Vision & Acumen: Demonstrate a profound and forward-looking understanding of technical requirements, emerging trends, and their strategic implications for solutions under development, ensuring future-proof designs.
Containerization, Orchestration & Cloud Strategy: Drive the strategic adoption and optimization of Docker for application containerization, Kubernetes for efficient service orchestration, and other cloud-native technologies to build resilient and scalable infrastructure.
Communication, Risk & Stakeholder Management: Master effective communication of progress, proactively anticipate and mitigate technical and project bottlenecks, provide expert escalation management, and adeptly identify, assess, track, and manage issues and risks at strategic and operational levels.
Process and System Optimization: Champion and lead initiatives to streamline, automate, and eliminate redundant processes within architecture, build, delivery, production operations, and across various business areas, driving significant efficiency gains and innovation.
AI-Driven Development Strategy: Define and lead the adoption of AI tools, such as GitHub Copilot and other advanced generative AI capabilities, to significantly enhance development efficiency, accelerate delivery timelines, and optimize software solutions across the engineering landscape.
AI Innovation & Landscape Shaping: Maintain deep awareness of the rapidly evolving AI landscape, proactively evaluate emerging technologies, and propose innovative and strategic approaches to integrate AI capabilities into product features and core engineering practices.
Defining Technical Standards: Play a key role in defining, implementing, and enforcing advanced technical and team standards, fostering consistency and excellence across development initiatives.
7+ years of progressive software development experience, demonstrating expert-level proficiency in JavaScript and Java frameworks (e.g., React.js, Spring Boot), and databases (e.g., Oracle, MongoDB, PostgreSQL).
Expert in Modern Application Architecture:
Mastery of modern application architecture principles, including microservices, event-driven architectures, serverless, and cloud-native patterns.
Deep expertise in Data Structures, Algorithms, and Object-Oriented Design Principles with Java.
Proven leadership in leveraging and integrating Artificial Intelligence (AI) and Machine Learning (ML) tools to optimize development workflows, enhance code quality, and drive intelligent features.
Extensive experience with Microservices frameworks (e.g., Spring Boot, Quarkus), Event-Driven Services (e.g., Kafka, RabbitMQ), and advanced Cloud-Native Application Development (AWS, Azure, GCP).
Multiple years of experience leading the design and implementation of Service-Oriented and Microservices architectures, including advanced REST, GraphQL, and gRPC implementations.
Full Stack Architecture & Leadership: Demonstrated ability to architect, design, develop, and maintain complex, enterprise-grade full-stack solutions, encompassing both front-end and back-end components of robust web applications, with an emphasis on scalability and performance.
Front-End Expertise: Expert-level proficiency in designing and developing highly intuitive, performant, and accessible user interfaces using cutting-edge JavaScript frameworks (e.g., React, Angular, Vue), advanced HTML5, and CSS (e.g., SASS/LESS, CSS-in-JS).
Back-End Mastery: Extensive experience in architecting and developing scalable server-side logic and sophisticated APIs using languages suchs as Java, Python, or similar, with a focus on high-throughput and low-latency systems.
Advanced Database & Data Architecture Expertise: Comprehensive knowledge of SQL and PL/SQL, with a deep understanding of Relational Database Management Systems (RDBMS), particularly Oracle, including advanced database design, performance tuning, data warehousing, and NoSQL databases.
API Design & Governance: Proven capability in designing, developing, implementing, and governing enterprise-wide high-performance RESTful APIs, GraphQL endpoints, and event-driven interfaces, leveraging appropriate frameworks and security best practices.
CI/CD and Advanced DevOps:
Expertise in establishing, optimizing, and automating Continuous Integration/Continuous Deployment (CI/CD) pipelines and tools for building (e.g., Maven, Gradle, Bazel), testing, and deploying code (e.g., Docker, Kubernetes, Jenkins, OpenShift, Argo CD).
Significant experience and leadership in implementing advanced DevOps practices, site reliability engineering (SRE) principles, and Infrastructure as Code (IaC) (e.g., Terraform, Ansible).
Extensive experience with cloud platforms like AWS, Azure, or GCP, with a focus on cloud-native services and architecture.
Agile & Lean Leadership: Proven ability to lead and coach multiple Agile development teams, fostering a culture of continuous delivery, iterative development, and strong collaboration. Expertise in various Agile methodologies (Scrum, Kanban, SAFe) and advanced project management tools such as JIRA.
Comprehensive Test Automation Strategy: Ability to define, implement, and oversee comprehensive test automation strategies and frameworks across unit, integration, end-to-end, performance, and security testing to ensure the highest code quality and system reliability.
Version Control & Code Governance: Mastery of advanced code versioning tools and strategies, including GitHub Enterprise, complex branching models, pull request workflows, and establishing robust code review processes and governance.
