Staff Software Engineer - Java

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

The Staff Software Engineer is the ‘go to’ person for technical advice and expertise for the team. We are seeking a Staff Software Engineer to join our Reporting Platform team. As a Staff Software Engineer, you will provide technical leadership and expertise to help build ad verification, analytics, and anti-ad fraud solutions that deliver on the team’s mission of helping advertisers understand the quality of the ad opportunities they’re purchasing. Our team provides the tools that advertisers need to maximize their ROI by displaying the recommended targets for their investments. You will make a solid contribution in software design, development, writing test cases, QA, documentation, fixing software defects. You will be working with cutting edge cloud technologies, building robust, scalable, high performance software solutions which help our customers to launch campaigns, activate tags, ads verification and optimizations.

The ideal candidate will have strong expertise in Java, Spring Boot, JPA, relational database, big data warehouse, AWS services, enjoys working in a collaborative and agile environment, and brings innovative solutions to complex problems with a desire to improve the status quo.

What you’ll do:

• Design, build and integrate Java micro services which talks to React front end and MySQL database.
• Hands-on development, code reviews, testing, deployment, and documentation.
• Fix software bugs and respond to incident escalated to our team
• Collaborate with other engineers in the team to deliver product features on time, elevate the team's coding standard, and promote best practices through thorough code and design reviews and improved processes
• Partner with the Product team and other stakeholders across the company to understand product requirements, gather business and technical requirements from broadcaster clients, and research and develop solutions, including API development
• Automate cloud infrastructure, services, and observability
• Develop CI/CD pipelines and testing automation

Who you are and what you have:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related STEM field.
• 15+ years of experience in backend development.
• Proficiency in Java, Spring, Spring Boot and JPA.
• Extensive experience with relational DB, e.g., MySQL or PostgreSQL. 
• Advanced understanding of SQL, data model design, dimensional modeling, database performance troubleshooting and improvement.
• Have a sense of security, both authentication and authorization when design and build API
• Good understanding of RESTful API and gRPC design and implementation.
• Familiarity with cloud platforms (e.g., AWS).
• Experienced in building and deploying scalable backend systems on AWS using services like EC2, RDS, S3, SQS, and EKS.
• Familiar with monitoring and log analysis using Grafana for observability and performance tuning.
• Good knowledge of git, Jenkins and CI/CD
• Excellent problem-solving skills and attention to detail.
• Strong verbal and written communication skills and the ability to work effectively in a team environment.

What puts you over the top:

• Prior tech lead experience
• Experience with system design and architecture
• Superior problem solving, and the capability to explain a complex problem clearly to non technical people
• Knowledge with Databricks
• Experience in AdTech

New York Applicants: The salary range for this position is $126,000.00 - $216,000.00. Actual pay may vary based on experience or geographic location.

About Integral Ad Science:

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at [email protected].

To learn more about us, please visit http://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to [email protected]. We will get back to you if there's interest in a partnership.

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