Vertoz is looking for a Technical Lead and Solutions Architect to spearhead the design and delivery of enterprise-grade AdTech solutions. In this role, you’ll be responsible for system architecture, large-scale engineering team leadership, and end-to-end project management—from planning through delivery—ensuring that technology execution aligns with business strategy.
Key Responsibilities
Architecture & Technology Leadership
● Architect and build scalable, low-latency systems for RTB, DSP, SSP, DMP, and identity solutions.
● Lead end-to-end solution design, ensuring system scalability, performance, security, and maintainability. ● Drive adoption of best practices in software design, DevOps, cloud-native architecture, and data engineering. Engineering & Team Management
● Lead, mentor, and grow a cross-functional engineering team.
● Foster a high-performance, collaborative engineering culture with continuous improvement and learning.
Project Management & Execution
● Own project planning, scoping, estimation, prioritization, and delivery using Agile/Scrum methodologies. ● Define project timelines, allocate resources, and proactively manage risks and dependencies.
● Collaborate with stakeholders to ensure technical feasibility and alignment with product roadmaps.
● Monitor progress, resolve blockers, and ensure delivery within time, scope, and budget.
● Use tools like Jira, Confluence, Trello, or Asana to manage execution and reporting. Cross-Functional
Collaboration
● Work closely with Product Managers, Data Scientists, and Business Leaders to translate functional requirements into scalable technical solutions.
● Communicate architecture plans and project progress clearly across technical and non-technical audiences.
● Partner with DevOps teams to ensure system uptime, reliability, and observability.
Required Qualifications
● 8+ years of software engineering experience with 3+ years in a technical leadership or architect role.
● Proven track record of managing large engineering teams and leading full project lifecycles.
● Strong hands-on experience with AdTech technologies: RTB, OpenRTB, DSP/SSP platforms, user identity frameworks, fraud prevention, and data pipelines.
● Expertise in backend programming languages (Go, Java, Scala, or Python) and real-time processing tools (Kafka, Flink, Spark).
● Deep understanding of cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.