Prodege

Prodege

Sr. Engineer (Scala)

Remote New York · Senior · Full-time

Sponsorship not specified$170k-$200kDetected 39 days ago
JavaScalaDistributed SystemsBackend DevelopmentCode ReviewGitAWSGCPAzureDockerKubernetesCI/CDAPI DevelopmentKafkaRabbitMQMachine LearningLLMsA/B TestingIncident ResponseLoad TestingTest AutomationCommunication

About the role

  • Job Description: Strategic Imperative The Sr.
  • Engineer strengthens Prodege's technical foundation by delivering high-quality Scala/Java services that scale with business demand.
  • Pay Transparency: The anticipated base salary range for this position is $170,000 to $200,000.

Responsibilities

  • Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish, BitBurst & AdGate Media in 2022, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.
  • As an organization, we go the extra mile to "Create Rewarding Moments" every day for our partners, consumers, and team.
  • Deliver Scalable Backend Services (Scala/Java)
  • Build and maintain backend services, APIs, and supporting libraries using Scala and Java.

Requirements

  • participate in on-call or escalation support as required.
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • Five or more (5+) years of professional software engineering experience, including backend/service development.
  • Strong hands-on expertise in Scala and/or Java in production environments.
  • Experience delivering cloud-based or distributed systems (AWS/GCP/Azure), including observability and incident response participation.
  • Strong understanding of distributed systems fundamentals (concurrency, consistency, resiliency patterns).
  • Proficiency with CI/CD and modern engineering workflows (Git, code reviews, automated testing).
  • Experience with observability practices (logging/metrics/tracing) and operational ownership.

Compensation

  • The anticipated base salary range for this position is $170,000 to $200,000.
  • The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc.
  • Prodege is a multi-state employer and final compensation within this range could be impacted by work location.
  • Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Benefits

  • Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance.
  • Employees receive flexible PTO, as well as paid sick leave prorated based on hire date.
  • Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Company info

  • A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption.
  • At Prodege, we are committed to creating a diverse and inclusive environment.

Equal opportunity

  • We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law.
  • We encourage individuals of all backgrounds to apply.
  • Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.
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This listing is sourced directly from Prodege's careers page and normalized into a canonical job model.