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Technical Lead and Solutions Architect - Vertoz

Technical Lead and Solutions Architect - Vertoz

VertozMumbai, MH, in
30+ days ago
Job type
  • Quick Apply
Job description

Job Description

What we want :

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.

Who we are :

Vertoz (NSEI : VERTOZ), an AI-powered MadTech and CloudTech Platform offering Digital Advertising, Marketing and Monetization (MadTech) & Digital Identity, and Cloud Infrastructure (CloudTech) caters to Businesses, Digital Marketers, Advertising Agencies, Digital Publishers, Cloud Providers, and Technology companies. For more details, please visit our website  here.

What you will do :

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.

    • Requirements

  • 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.

  • Background in high-scale programmatic advertising or data-driven platforms.
  • Experience in managing multiple concurrent projects across globally distributed teams.
  • Knowledge of data privacy frameworks (GDPR, CCPA), first-party data strategies, and

    • audience segmentation.

  • PMP, any programming language and Database certification is a strong plus.

    • Benefits

  • No dress codes
  • Flexible working hours
  • 5 days working
  • 24 Annual Leaves
  • International Presence
  • Celebrations
  • Team outings

    • Requirements

  • 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.
  • Background in high-scale programmatic advertising or data-driven platforms.
  • Experience in managing multiple concurrent projects across globally distributed teams.
  • Knowledge of data privacy frameworks (GDPR, CCPA), first-party data strategies, and audience segmentation.
  • PMP, any programming language and Database certification is a strong plus
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