Staff Software Engineer (Ad Serving Platform)

Location: New York, United States; hybrid working with office attendance generally Monday through Thursday and flexible remote work on Fridays

Salary: $195,000–$408,000 annual salary for New York

Company

hirify.global operates a TV streaming platform and advertising ecosystem connecting consumers, content publishers, and advertisers.

What you will do

• Design, build, and operate core components of a large-scale, real-time distributed decisioning system with strict latency requirements.
• Own subsystems end to end, including architecture, implementation, testing, deployment, on-call support, and long-term evolution.
• Scale and advance the Demand Bidder platform, including pacing, scoring and ML-driven decision systems.
• Diagnose timing-, statistics-, and concurrency-related issues in a complex multi-region production system.
• Partner with engineers and applied scientists on distributed systems and statistical or ML-driven decision-making.
• Mentor engineers, improve engineering rigor and operational excellence, and align with technical, product, and business stakeholders.

Requirements

• 10+ years of experience designing, building, and operating large-scale, low-latency distributed systems, ideally including a system built substantially from the ground up.
• End-to-end ownership of complex production systems, including design, implementation, operations, on-call, and iteration from production feedback.
• Ability to quickly understand unfamiliar, complex codebases and evolve live business-critical systems without compromising uptime or correctness.
• Strong command of Java, algorithms, data structures, concurrency, multithreading, and performance optimization.
• Practical experience with distributed caching, high-throughput messaging or streaming systems, and SQL or NoSQL datastores.
• Experience operating cloud infrastructure at scale in GCP or AWS.
• B.S. or M.S. in Computer Science, Engineering, or equivalent practical experience.
• High ownership, self-motivation, critical thinking, comfort with ambiguity, collaboration, and receptiveness to critical feedback.
• Experience using AI coding assistants such as Claude Code or Cursor in production work, with the ability to evaluate their output and apply them responsibly.

Nice to have

• Experience applying statistical, control-theory, or ML-driven techniques in production decision-making systems.
• Real-time bidding or ad-tech experience; adjacent low-latency experience in trading, ranking or recommendation, matchmaking, risk, or fraud systems is also valued.
• Curiosity about using AI for system monitoring, issue triage, or agentic workflows.
• Experience with agentic engineering tools such as MCP servers, custom skills, or agent frameworks.

Culture & Benefits

• Fast-paced, collaborative environment focused on pragmatic problem-solving, delivery, and low-ego teamwork.
• Hybrid work generally requires office attendance Monday through Thursday; Fridays are generally flexible for remote work unless the role or office requires five days on site.
• Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
• Global mental health and financial wellness resources, with local healthcare, retirement, commuter, and statutory benefits varying by location and role.

Hiring process

• Applicants may request reasonable accommodations during the hiring process.