Software Engineer, Lifecycle
RemoteHunter · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Build scalable backend services for communications.
- Develop real-time messaging and automation systems.
- Transform data into marketing solutions.
- Collaborate with cross-functional teams.
- Lead medium-sized projects and improve reliability.
About the role
About Our Client
The organization operates within the AI-driven lending industry, focusing on reducing the cost and complexity of borrowing. It addresses the challenge of expanding access to affordable credit by partnering with banks and credit unions and utilizing advanced AI technology. The platform analyzes extensive data signals to support fairer lending decisions for millions of customers. The organization emphasizes a digital-first work environment with flexible options for remote or in-person collaboration across multiple U.S. and Canadian locations.About the Opportunity
The Software Engineer, Lifecycle plays a crucial role in developing and maintaining scalable backend services that support the organization's unified communications platform. This position contributes to personalized and timely engagement with millions of customers through multiple channels, including SMS, email, and push notifications. The role involves collaborating with marketing, analytics, and data teams to transform complex data into actionable marketing solutions and leads medium-sized projects to enhance platform capabilities and reliability.Responsibilities
- Design and build scalable backend services for unified communications across various channels.
- Develop real-time, event-triggered messaging and marketing automation systems.
- Translate complex datasets into marketing capabilities using APIs, streaming pipelines, and reverse ETL workflows.
- Collaborate with cross-functional teams to define requirements and deliver data-driven solutions.
- Independently lead medium-sized projects from design through launch, managing risks and ambiguity.
- Improve system reliability and accelerate iteration while communicating technical trade-offs clearly.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, plus 3 years of experience.
- Experience building and operating microservices and APIs in cloud environments, preferably AWS.
- Proficiency in at least one backend language such as Kotlin, Java, Ruby, or Python.
- Ability to independently execute projects, navigate ambiguity, and collaborate with cross-functional partners.
- Strong written and verbal communication skills for distributed team environments.
Preferred Qualifications
- Experience supporting Marketing, Growth, or GTM teams, especially with CDPs, customer segmentation, or campaign orchestration.
- Familiarity with reverse ETL tools, data pipeline tooling, or marketing automation platforms.
- Knowledge of real-time event streaming systems and high-throughput messaging architectures.
- Experience with third-party API integration and handling large data volumes.
- Proven leadership in medium-to-large projects and contributions to long-term platform design.
Pay Range and Compensation Package
The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.Equal Opportunity Statement
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company's career page or ATS.Key skills/competency
- Software Engineering
- Backend Development
- Microservices
- APIs
- AWS
- Kotlin OR Java OR Ruby OR Python
- Messaging Systems
- Data Pipelines
- Marketing Automation
- Project Leadership
Skills & topics
- Software Engineer
- Lifecycle
- Backend Development
- Microservices
- APIs
- AWS
- Kotlin
- Java
- Ruby
- Python
- Messaging
- Data Pipelines
- Marketing Automation
- AI Lending
- Unified Communications
- Remote Jobs
- Tech
How to get hired
- Tailor your resume: Highlight experience with backend languages (Kotlin, Java, Ruby, Python), microservices, and cloud environments like AWS. Emphasize project leadership and cross-functional collaboration.
- Craft a compelling cover letter: Showcase your understanding of AI-driven lending and unified communications platforms. Express your ability to navigate ambiguity and deliver data-driven solutions.
- Prepare for technical interviews: Be ready to discuss your experience with building and operating scalable backend services, APIs, and real-time systems. Practice coding challenges in your preferred backend language.
- Demonstrate collaboration skills: Highlight examples of working effectively with marketing, analytics, and data teams. Showcase your communication skills in a distributed environment.
Technical preparation
Practice building microservices and APIs.,Solve coding problems in Kotlin, Java, Ruby, or Python.,Review AWS services for building scalable applications.,Understand data pipeline and messaging concepts.
Behavioral questions
Describe a complex project you led independently.,How do you handle ambiguity in projects?,How do you communicate technical trade-offs effectively?,Tell me about collaborating with non-technical teams.
Frequently asked questions
- What is the work arrangement for the Software Engineer, Lifecycle role at RemoteHunter?
- The Software Engineer, Lifecycle role is a remote position, offering flexible work options across multiple U.S. and Canadian locations. The organization emphasizes a digital-first work environment.
- What programming languages are preferred for the Software Engineer, Lifecycle position?
- Proficiency in at least one backend language such as Kotlin, Java, Ruby, or Python is required for the Software Engineer, Lifecycle role. Familiarity with these languages will be assessed during the hiring process.
- What is the typical career progression for a Software Engineer, Lifecycle at this company?
- While specific paths vary, a Software Engineer, Lifecycle can progress to leading larger projects, specializing in areas like data pipelines or marketing automation, or moving into more senior engineering or technical leadership roles within the organization.
- What kind of projects will a Software Engineer, Lifecycle work on?
- A Software Engineer, Lifecycle will design and build scalable backend services for unified communications, develop real-time messaging and marketing automation systems, and translate complex datasets into marketing solutions using APIs and data pipelines.
- How does this role contribute to the company's mission?
- The Software Engineer, Lifecycle directly contributes by developing and maintaining the core communication platform that enables personalized and timely engagement with millions of customers, supporting the company's AI-driven lending mission to expand access to affordable credit.
- What are the key technical skills needed for the Software Engineer, Lifecycle role?
- Key technical skills include building and operating microservices and APIs in cloud environments (AWS preferred), proficiency in backend languages like Kotlin, Java, Ruby, or Python, and experience with data pipelines, messaging systems, and marketing automation.
- What does 'independently lead medium-sized projects' mean for a Software Engineer, Lifecycle?
- It means you will be expected to take ownership of projects from inception to completion, managing timelines, resources, risks, and ambiguity with minimal direct supervision, while effectively communicating technical decisions and trade-offs.