WEX Inc

Software Development Mgmt 4

India - Bangalore Office Full time

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)