
Senior Software Engineer II, Fullstack (AI)
Required skills
- AI
- Measurement
- Reporting
- web applications
- APIs
- database integrations
- maintainable code
- efficient code
- responsive UI
- intuitive UI
Nice to have
- AdTech space
- containerization
- Databricks
- GenAI
Role summary
LG Ad Solutions is seeking a Senior Software Engineer 2 (Full Stack) for their Measurement and Reporting team in NYC or Denver. This role involves designing, developing, and maintaining scalable web applications, APIs, and backend services, with a focus on AI and AdTech. Responsibilities include UI development, database management, performance optimization, and technical mentorship. The position requires 5+ years of full stack experience, proficiency in ReactJS/AngularJS/VueJS/TypeScript and NodeJS, and expertise with relational/NoSQL databases. Familiarity with AI tools, testing, CI/CD, Docker, and Kubernetes is preferred. The role is onsite 4 days/week.
We require people to be on-site, 4 days/week at our NYC or Denver office and are unable to offer relocation support.LG Ad Solutions
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
The Opportunity:
We are seeking a talented and motivated Senior Software Engineer 2 (Full Stack) to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and enable our sales and operations teams to identify the shortcomings during the campaign execution.
You will work on both frontend and backend development, building and maintaining the web applications and services that power our reporting platform. You will be responsible for developing user interfaces, APIs, backend services and Agentic solutions, collaborating with cross-functional teams, and contributing to all stages of the development lifecycle. If you're passionate about building efficient, scalable, and user-friendly applications at scale in the adtech space, we want to hear from you!
Responsibilities:
Design, develop, deploy and maintain scalable web applications across both frontend and backend. This includes developing UI features, APIs, and database integrations.
Write clean, maintainable, and efficient code while adhering to best practices across the full technology stack.
Develop responsive and intuitive user interfaces while simultaneously building robust backend services and APIs.
Design and implement backend services, RESTful APIs, and microservices architectures to support application functionality and business logic.
Manage databases and ensure data integrity through effective backend development. Optimize database queries and design efficient data models.
Work on micro services which are integrated with the UI application, ensuring seamless communication between frontend and backend systems.
Identify and address performance bottlenecks. Optimize system performance, scalability, and reliability across both client and server-side components.
Troubleshoot and resolve complex technical issues across both frontend and backend systems.
Conduct code reviews, providing constructive feedback to ensure high code quality and adherence to best practices.
Provide technical mentorship to junior engineers and foster a culture of innovation.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in full stack software development, with demonstrated ability to work effectively on both frontend and backend technologies.
Proficiency in ReactJS/AngularJS/VueJS/TypeScript and NodeJS programming languages.
Expertise in working with relational and NoSQL databases (e.g., MySQL, MongoDB, Redis). Experience with database design and optimization.
Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests.
Demonstrated ability to stay current with AI tools and emerging technologies, with a quick learning aptitude for adopting new tools and frameworks.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.
Ability to coordinate and work with contractors/consultants and owning the work done by contractors.
Preferred:
Familiarity with the AdTech space.
Familiarity with Scala/PySpark and Python.
Experience with CI/CD pipelines.
Familiarity with containerization (Docker) and orchestration (Kubernetes).
Familiarity with Databricks.
Familiarity with GenAI and AI Agents.
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.
Application Deadline: December 31, 2026
Compensation & Benefits
Tier 1* (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area)$185,000 - $264,000/year
Tier 2* (all other U.S. Locations outside of Tier 1) $162,000 – $231,000/yr
Offers Bonus
Benefits & Perks: 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents. Company-paid life and AD&D, STD and LTD insurance, plus optional supplemental coverage. 401(k) with company match. Flexible Time Off (FTO). Paid parental leave.
*Certain markets, including the San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area, are aligned to Tier 1 compensation bands. All other U.S. locations -including Denver - are aligned to Tier 2 compensation bands. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience.
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