Role Overview

Develop strategies and roadmaps in partnership with senior leadership
Manage the overall budget for the product portfolio area
Lead and scale high‑performing engineering teams to deliver complex software solutions efficiently and effectively
Define and execute a strategic vision for the engineering organization, aligning technology adoption and resource allocation with business goals
Mentor and develop engineering managers and other high‑performing leaders
Foster a culture of innovation, continuous learning, and engineering excellence
Analyze business needs and recommend technologies, budgets, and resources to achieve strategic outcomes
Identify and implement innovative solutions to improve efficiency, scalability, and customer experience
Present technical thought leadership and insights at leadership forums
Drive a data‑driven decision‑making culture across engineering
Champion organizational alignment and readiness for evolving business needs
Oversee the reliability, performance, and operational excellence of the enterprise Integration Platform, ensuring high availability and rapid issue resolution
Lead modernization initiatives, including cloud migration, replatforming, and adoption of modern integration patterns and technologies
Partner with architecture, security, and product teams to ensure integrations are secure, scalable, and aligned with enterprise standards
Advance observability maturity using platforms such as Dynatrace, Splunk, and other monitoring and alerting tools to ensure proactive detection and resolution of issues.

Requirements

Bachelor’s degree in engineering or related field; Master’s in Computer Science strongly preferred
7–10 years of hands‑on software engineering experience, including leadership of engineering teams and delivery of successful projects
Proven ability to build and manage high‑performing engineering teams using data and KPIs
Experience running agile practices
Strong understanding of data and architectural principles
Demonstrated ability to make independent, data‑driven decisions
Strong stakeholder management and communication skills
Ability to prepare and present executive‑level content
Ability to build long‑term strategies and technology roadmaps
Experience with Integration Platforms, APIs, and integration patterns
Experience with Java, Spring, Spring Boot, and Spring Batch
Experience with event messaging technologies such as RabbitMQ, IBM MQ, SQS, and Kafka
Experience with AWS; certification preferred
Experience with AWS‑native services including Lambda, API Gateway, SQS, SNS, EventBridge, RDS, EC2, and ECS Fargate
Experience with observability platforms such as Dynatrace, Splunk, and related monitoring, logging, and tracing tools
Strong understanding of enterprise integration governance, observability, and operational best practices
Experience managing mission‑critical platforms with high uptime expectations.

Tech Stack

AWS
Cloud
EC2
Java
Kafka
RabbitMQ
Splunk
Spring
Spring Boot
SpringBoot

Benefits

Competitive health coverage
Retirement plans
Paid time off
Flexible work options
Employee discounts
Tuition reimbursement
Leadership programs
Internal mobility opportunities

Senior AI/ML Engineer

About this role