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Open nowPosted 40 hours ago

Senior Software Engineer (m/f/d)

Kayzen8 open roles

Where
Remote India
Work mode
Remote
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Your applicationOpen nowSenior Software Engineer (m/f/d)Kayzen · Remote India
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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. Kayzen postings stay open a median of 15 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted 40 hours ago

Kayzen median: 15 days open

The posting

🌏 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 a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage.

With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

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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