Senior Software Engineer (Big Data)

Location: Hybrid in San Francisco, United States

Annual base compensation: $130,000–$196,500

Company

hirify.global builds a data collaboration network for brands, retailers, financial services providers, and healthcare innovators, supporting customer insight and marketing AI capabilities.

What you will do

• Lead complex engineering problems by breaking them into essential components and designing elegant, value-focused solutions.
• Maintain and improve the graph processing engine that connects trillions of consumer and device identifiers.
• Modernize applications into modular and scalable systems using current technologies.
• Develop and enhance large-scale batch processing systems, REST APIs, and infrastructure.
• Collaborate with product managers, engineers, and cross-functional teams to deliver high-quality software.
• Apply privacy- and security-first design principles while improving scalability, performance, cost, reliability, legal compliance, and quality.

Requirements

• 6+ years of professional software development experience, primarily focused on big data technologies.
• 3+ years of experience writing and optimizing large-scale batch processing with Spark, Hadoop, or similar technologies.
• 3+ years of Java and SQL programming experience.
• 2+ years of experience with cloud-based platforms such as GCP, AWS, Azure, or similar technologies.
• Experience with Docker, Terraform, and/or Kubernetes.
• A collaborative, ethical, friendly, hard-working, and productive startup-oriented approach.

Nice to have

• Experience with GCP products such as Bigtable, BigQuery, Dataproc, and Pub/Sub, or data tools such as Kafka, Hive, or Apache Beam.
• Experience with development tools such as Terraform, Kubernetes, Helm, or Gradle.
• Experience designing and implementing interfaces and infrastructure for large-scale systems and RESTful APIs.

Culture & Benefits

• Hybrid work arrangement in San Francisco.
• Compensation includes an annual base salary range of $130,000–$196,500.
• Total compensation and benefits are determined by experience, knowledge, skills, abilities, geography, and internal equity.
• Privacy, security, ethical conduct, teamwork, and high-quality delivery are emphasized.
• Reasonable accommodations are available during the recruitment and hiring process.