Software Development Mgmt 4 at Wex in Bengaluru, Karnataka, India

Software Development Mgmt 4 Location: India - Bangalore Office About the Team/Role We are seeking a Senior Engineering Manager with a highly technical, hands-on engineering mindset to lead a team within WEX’s International Mobility Engineering organization. International Mobility is a global team operating across the UK, India, Brazil, and the US. This role requires a leader who can blend technical excellence with strong engineering leadership, fostering a DevOps mindset, Agile execution, and best-in-class software development practices. As a Senior Engineering Manager, you will be responsible for building scalable, reliable, and secure systems while driving a culture of continuous improvement, automation, and operational excellence. You will partner with engineering teams, product leaders, and business stakeholders to ensure that WEX’s International Mobility products deliver high-performance, cloud-native solutions that meet global business needs. How you’ll make an impact  Lead by example with hands-on involvement in architecting, coding, reviewing, testing, and deploying mission-critical software.  Instill a DevOps culture by championing automation, CI/CD pipelines, and infrastructure-as-code to enhance system reliability and efficiency.  Promote Agile and Lean engineering best practices, ensuring incremental delivery, iterative improvements, and continuous integration.  Own the full development lifecycle, from system design and implementation to deployment and monitoring.  Establish and enforce engineering excellence in code quality, test automation, and observability.  Drive a data-driven approach to engineering productivity, measuring performance using key engineering and operational metrics.  Lead a high-performing engineering team, setting clear goals, fostering a culture of accountability, and mentoring engineers.  Optimize team efficiency by eliminating bottlenecks, improving developer experience, and streamlining workflows.  Build scalable, fault-tolerant, and secure distributed systems that meet business SLAs and regulatory requirements.  Collaborate with Product and Business teams to align technical execution with strategic priorities.  Own and drive technical decisions, balancing trade-offs between speed, scalability, security, and cost.  Champion engineering best practices for cloud computing, microservices architecture, API-first development, and event-driven systems.  Ensure system reliability and uptime, leveraging SRE principles, observability tools, and incident management frameworks. Experience you’ll bring  Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.  10+ years of experience in software engineering, with at least 3+ years in an engineering leadership role.  Deep technical expertise in cloud computing platforms (AWS, Azure, or GCP) and cloud-native architectures.  Strong coding and architectural skills in modern programming languages (Java, Kotlin, Go, Python, or similar).  Experience leading Agile engineering teams, with a proven track record of delivering software using Scrum/Kanban methodologies.  Hands-on experience with CI/CD pipelines, Kubernetes, container orchestration, and DevOps automation.  Proven ability to scale engineering teams and optimize development workflows.  Expertise in building distributed systems, microservices, and event-driven architectures.  Deep understanding of API-first development, RESTful and GraphQL APIs, and secure API gateways.  Strong experience in monitoring, logging, and observability tools (e.g., Prometheus, Datadog, ELK, Grafana, OpenTelemetry).  Experience working in a fast-paced, high-growth, globally distributed environment.  Ability to communicate complex technical topics to both engineering and non-engineering stakeholders.  Experience in financial technology, mobility, or fleet management systems. (Preferred)  Familiarity with global compliance and regulatory standards for payments and mobility. (Preferred)  Background in real-time data processing, analytics, or AI-driven optimizations. (Preferred)  Experience integrating machine learning models or AI-driven decision-making into engineering workflows. (Preferred)