Software Engineering Manager

You will collaborate closely with cross-functional teams based in the U.S., including Engineering, Quality Assurance, Product Management, and Project Management, to ensure alignment on requirements, timelines, and deliverables.

This role''s primary responsibility is managing the team, but the ideal candidate should also be capable of contributing to the codebase as time permits using Java, Spring, and Node.js in an AWS environment.

• 10+ years of hands-on experience as a software engineer, with strong proficiency in Java and Node.js. Experience building and scaling enterprise data platforms. Diligently observe and help maintain Standards for Regulatory Compliance and Information Security. Familiarity with data privacy and security best practices preferred.
• 5+ years of experience managing software development teams.
• Lead, mentor, and grow a team of software engineers working on cloud-native applications. Oversee the delivery of well-tested, robust, and efficient software while following software development best practices. Ensure high-quality software development practices including code reviews, testing, and CI/CD.
• Collaborate with U.S.-based stakeholders to define technical requirements, project scope, and delivery timelines. Solid understanding of Agile/Scrum methodologies. Excellent communication, collaboration, and mentoring skills. Own deliverables from ideation to production operationalization. Experience working with distributed teams across time zones preferred.
• Proven experience working in cloud environments, preferably AWS. Strong understanding of AWS services including ECS Fargate, S3, RDS, Lambda, SQS, MSK (or Kafka). Experience with NATS.io is a plus.
• Proven experience integrating with third-party HTTP APIs, typically leveraging JSON payloads. Java engineers should have strong experience with Spring and Spring Cloud frameworks. Proficiency with development and monitoring tools such as GitHub, Splunk, DataDog, Jira.
• Contribute to the codebase as needed, providing hands-on support and technical guidance. Foster a culture of continuous improvement, innovation, and accountability. Drive adoption of best practices in cloud architecture, microservices, and DevOps. Troubleshoot system functionality and performance using tools like Splunk and DataDog. Foster a culture of continuous improvement, innovation, and accountability. Drive adoption of best practices in cloud architecture, microservices, and DevOps.