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Kayzen

Senior Software Engineer (m/f/d)

Posted 28 Days Ago
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Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Design, develop, deploy, and maintain scalable distributed systems, real-time platforms, data pipelines, and analytics tools. Build data extraction, transformation, and loading systems using SQL and big data technologies. Work across low-level systems and distributed architectures, collaborate with data science and product teams, and mentor junior engineers.
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🌏 India, Remote
________________________

Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a Senior Software Engineer who will be a part of the platform engineering team.  🙌

But wait, you have not heard of Kayzen before? 😃 

Kayzen is the Apps DSP: an AI-native platform built on its own bidding engine, for buying app inventory across mobile and connected TV screens. App developers, agencies, media buyers and ad platforms use Kayzen to drive full-funnel outcomes across both screens, from awareness and consideration to installs, purchases and calls. Available through self-serve and managed services, Kayzen combines machine-learning optimisation with bid - and impression-level transparency, granular control over buying decisions, and AI capabilities that connect campaign data to the AI assistants teams already use. Kayzen’s vision is to democratise programmatic marketing by making it accessible to every team. Headquartered in Berlin, Kayzen operates globally.

The role

The Platform Engineering team owns the Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, stream data processing engine and multiple other complex large-scale distributed components and data pipelines. You will work closely with data scientists, data analysts, product and business teams.

Day to day

As a Senior Software Engineer, you will:

  • Design, code, deploy & maintain highly scalable software components, optimal data pipeline architecture for large- scale data volumes
  • Dive deep into any part of the stack and low-level systems, as well as design broad distributed system interaction
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Build the system required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Mentor junior software engineers 

Sounds like you? 😉

We are looking for a candidate with a minimum 5+ yrs of professional experience working in distributed systems.

  • Min. 5 years of experience in coding & implementing complex projects 
  • Proficiency in Java is a MUST 
  • Deep understanding of Multi-threading, JVM, GC and profiling tools
  • Good knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
  • Experience with relational SQL and NoSQL databases, proficiency in working in Unix/Linux-based environment
  • Hands on with AI development tools like (Claude code, Github Copilot etc) and demonstrates AI usage, adoption & agentic coding in day to day work
  • Experience with C++/Golang nice to have
  • Past Experience in ML/DS is a big plus
  • Ad-tech, marketing-tech experience is a big plus
  • Work comfortably in a collaborative, agile environment, and be excited to learn
  • Degree in Computer Science or a related field

What do we offer?

  • Exceptional career growth and learning opportunity
  • A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
  • Direct, day-to-day work experience with the management
  • A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries
  • A flexible work-from-home arrangement: we have office in Bangalore but felly remote mode is possible
  • A 500-dollar home-office setup budget
  • A 1000-dollar annual learning and development budget
  • Regular company events

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