Software Engineer (Java/AWS)

Location: United States - Exton, PA; hybrid workplace with in-person orientation for all new hires.

US base salary: $86,000–$164,000 annually, depending on experience, skills, education, training, and location.

Company

hirify.global provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers.

What you will do

• Develop and maintain scalable Spring Boot applications for data processing and analytics.
• Design, build, and operate cloud-native enterprise data platforms and analytics SaaS offerings using Spark, Iceberg, Kafka, AWS Redshift, and AWS EMR.
• Participate in the full software development lifecycle, from requirements gathering through deployment and monitoring.
• Collaborate with cross-functional teams to deliver secure, efficient solutions aligned with product and customer goals.
• Drive adoption of AI, cloud, and data platform capabilities while improving operational excellence and platform reliability.
• Support team members and contribute to continuous learning and technical excellence.

Requirements

• 0–2+ years of experience as a Software Engineer or in a similar role.
• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Ability to design and implement large-scale distributed systems.
• Experience with AWS services and programming skills in Java and SQL.
• Understanding of distributed systems concepts, including consistency, availability, durability, reliability, fault tolerance, and consensus algorithms.
• Strong knowledge of algorithms, data structures, and performance optimization techniques.
• Ability to embrace AI and apply data-driven insights to improve innovation, productivity, and continuous improvement.
• Eagerness to learn new technologies and passion for innovation.

Nice to have

• Experience building and maintaining Spring Boot applications.
• Experience with Spark, Iceberg, Kafka, AWS Redshift, AWS EMR, Terraform or CloudFormation, Kubernetes, and other modern public-cloud Big Data technologies.
• Experience with Big Data and distributed systems.
• Experience in the insurance or SaaS industry.
• Familiarity with additional cloud platforms or data engineering tools.

Culture & Benefits

• Flexible work environment with health and wellness benefits.
• Paid time off programs, including volunteer time off.
• Market-competitive pay and incentive programs.
• Continual development and internal career growth opportunities.
• Full-time employees and part-time employees working 30 or more hours per week are eligible for health, dental, vision, paid time off, and a company-sponsored retirement plan.
• Some roles may include annual bonuses, commissions, or long-term incentive awards.

Hiring process

• All new hires participate in an in-person orientation process.
• Offers are contingent on passing criminal history and other applicable background checks.