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Advertising at our client is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on our clients portal and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies.The Supply Quality organization in Bangalore has the charter to solve optimization problems for ad programs to ensure high-quality ad-impressions. We develop advanced algorithms and systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems.
The Supply Quality infrastructure(SQI) team builds large-scale real-time transactional solutions, batch and stream processing systems, internet scale crawling solutions and storage infrastructure. We process bid requests in the orders of tens of billions per day with our real-time, batch and stream processing systems. To handle data at this scale, we use cutting-edge open source technologies like Hadoop, Spark, Redis etc.. We are not tied to one technology. Instead, we use what is best suited for the purpose. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. All our systems need to also implement complex machine learning and optimization algorithms at scale.
We are looking for a talented Engineering Manager to lead a new big-data engineering initiative within SQI. The team will own building highly available, efficient and low latency internet scale infrastructure including web-scale crawler, contextual processing and classification systems that will be used across multiple advertising use cases. As a leader of the team, you will be responsible to evolve the charter of the team, work with stakeholders to set goals and deliver them. To succeed, you need to demonstrate sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You will be responsible for fostering a culture of engineering excelllence towards delivering cutting-edge solutions that materially improve customer experience.
Primary responsibilities:
- Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics
- Work with business leaders and product managers to define product requirements.
- Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments
- Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner
- Build and maintain world-class customer experience and operational excellence for your deliverables
- Hire, manage, mentor and grow a high performance team of Software Engineers
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Our client is looking out for an Associate Architect who has strong experience in to Technology
You will be involving in design, coding &scaling the product.
Collaborate with cross functional teams to solve complex problems.
You will be designing large scale distributed system.
Requirements:
8+ years of hands-on experience in developing, designing & scaling complex systems
Programming experience in Java, spring, Hibernate and MongoDb, micro services

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Engineering Manager
Our Client is a leading SaaS platform used by about 100,000 users across 25 countries to grow their businesses.
Our Client differentiates itself by focusing on high-velocity, high-volume sales businesses, and helping the sales force in those businesses to close deals faster. Clearly – scale, performance are the key drivers for us given that our users need to work in large, high-volume, fast-paced environment.
World’s largest edutech and financial services organizations use our product to drive their sales execution.
ROLE
With the recent Series B raise of $32 million, we are all geared up to scale our business globally. Naturally, the engineering team needs to rapidly improve the product, work on scale and performance, and build new features and products to capture new markets.
We are seeking seasoned leaders to grow our engineering teams, scale our development & release processes, and create world class products.
The role will involve building high-performance software engineering teams and delivering world-class software
Presenting plans, updates and risks to all stakeholders is a critical part of the role.
Leaders must be hands-on when it comes to addressing customer issues, code quality, RCA / issue prevention and managing risks.
Requirements
- 10+ years of experience in building software products and SaaS applications
- Highly energetic leader with experience of building high-performance engineering teams and delivering great software
- Exposure to managing scale and huge growth in software usage
- Worked with product design teams, customers and other stakeholders to create a well-defined product roadmap and deliver per plan
- Highly customer-focused with the ability to manage fast-paced release environment
- Strong knowledge of AWS from architecture and costs perspective.
- Exceptionally well-organized individual with great listening, communication and presentation skills
Experience- .NET, AWS
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We started with a simple question: w̲h̲a̲t̲ i̲f̲ y̲o̲u̲r̲ t̲e̲a̲m̲ c̲o̲u̲l̲d̲ f̲o̲c̲u̲s̲ o̲n̲ w̲h̲a̲t̲ t̲h̲e̲y̲ l̲o̲v̲e̲ m̲o̲s̲t̲?̲
𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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