Senior Manager, Software Engineering
New
J
JobgetherTravel technology
Based in the United StatesFull-TimeManager
SalaryAnnual base pay ranging from $225,000 to $265,000, depending on experience, expertise, and location.
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Job Details
- Experience
- At least 5 years of software engineering experience and at least 5 years in engineering management
- Required Skills
- Node.jsRuby on RailsSCRUMReactTerraformDatadogAWS Lambda
Requirements
- Have at least 5 years of software engineering experience.
- Have at least 5 years of engineering management experience.
- Demonstrate a record of leading engineering teams and delivering complex software projects.
- Bring a technical foundation in some or all of Node.js, Ruby on Rails, React, AWS, Lambda, Terraform, and Datadog.
- Have practical experience using AI-assisted development tools such as Claude and Cursor.
- Understand the end-to-end software development lifecycle and modern engineering principles.
- Have knowledge of scalable architecture, security, performance optimization, and observability.
- Have experience applying agile frameworks, including Scrum and Kanban.
- Be able to translate business objectives into technical strategies and make data-informed decisions.
- Understand customer activation, engagement, retention, and product adoption.
- A bachelor's degree in Computer Science, Engineering, or a related field is preferred; a master's degree is an advantage. Equivalent professional experience is accepted.
Responsibilities
- Lead, mentor, and develop a high-performing engineering team.
- Oversee the software development lifecycle from planning and technical design through implementation, testing, deployment, and continuous improvement.
- Integrate AI-powered development tools and practices into engineering workflows.
- Apply agile methodologies, automation, and modern engineering practices to improve workflows and team velocity.
- Guide engineering initiatives to improve customer onboarding, time-to-value, engagement, and adoption across the travel marketplace.
- Collaborate with Product, Data, and Design teams to identify growth opportunities and implement data-driven experiments.
- Align engineering priorities, timelines, and outcomes with business stakeholders.
- Make architectural and technical decisions that support platform growth, performance, and observability.
- Establish goals, monitor engineering performance, and identify opportunities to improve team effectiveness and delivery predictability.
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