Software Development Engineer at Sprinklr (Gurgaon) | ₹10-20 LPA

Build the Technology Behind Global Customer Experiences

Sprinklr is shaping the future of how companies interact with their customers. Thousands of global brands rely on the platform to manage conversations, marketing campaigns, service requests, and customer insights across dozens of digital channels. Behind that platform sits a complex web of data, automation, and intelligent systems. This is where the Software Development Engineer role comes in.

If you enjoy building backend systems that operate at serious scale, this position offers exactly that. The engineering team works on distributed architectures that process massive volumes of data while maintaining speed, reliability, and flexibility. The work is technical, sometimes demanding, but always interesting.

You'll be surrounded by engineers who enjoy solving tough problems. And yes, you'll write a lot of code.

What the Role Looks Like Day to Day

Software Development Engineers at Sprinklr work on backend services that power enterprise-grade applications used by companies across the world. The systems must handle real-time interactions, large datasets, and constantly evolving product requirements.

Some days involve deep algorithmic thinking. Other days revolve around optimizing system performance or collaborating with product teams to design a new feature. That mix keeps the role engaging.

Expect to spend most of your time writing production-quality code, reviewing pull requests, and brainstorming improvements to the architecture. Engineers here are encouraged to challenge assumptions and suggest better approaches when they see them.

Key Responsibilities

• Design, develop, and maintain scalable backend services that support high-volume enterprise applications.
• Write efficient, clean code with a strong focus on performance, maintainability, and reliability.
• Collaborate with engineers and product managers to translate product requirements into technical solutions.
• Participate in architecture discussions and contribute ideas that improve system design and product capabilities.
• Tackle complex engineering problems using solid data structure and algorithm fundamentals.
• Create reusable components and internal libraries that accelerate development across teams.
• Debug and resolve production issues while ensuring minimal disruption to customers.
• Stay curious about emerging technologies and explore ways they can strengthen the platform.

Technology Environment

Sprinklr engineers work with a modern technology stack built for scale. The backend infrastructure uses distributed systems that handle enormous amounts of data while remaining responsive and reliable.

You will likely encounter technologies such as MongoDB, ScyllaDB, Cassandra, Apache Spark, Elasticsearch, Kafka, and Redis. Each plays a specific role in powering the platform's analytics, messaging, and real-time processing capabilities.

But tools are only part of the story. What really matters is the mindset. Engineers are encouraged to experiment, evaluate trade-offs, and refine solutions until they perform exceptionally well in production environments.

The Engineering Culture

Now, here's the thing. Sprinklr values engineers who genuinely enjoy programming. Curiosity matters. Ownership matters even more.

Teams move quickly, and the environment can feel fast-paced. But that speed comes with a high level of collaboration. Brainstorming sessions are common, and engineers frequently exchange ideas about algorithms, performance optimizations, and architectural decisions.

You'll also find a strong sense of responsibility across the team. Engineers are trusted to own features end-to-end, from the early design phase to deployment and ongoing improvements.

That ownership makes the work meaningful. When something you built improves the experience of millions of users interacting with global brands, the impact is very real.

Why Engineers Enjoy Working Here

Sprinklr operates at the intersection of artificial intelligence, large-scale data processing, and customer experience technology. The problems being solved are both technical and practical. Systems must scale globally while remaining flexible enough to adapt to new digital channels and evolving customer expectations.

For early-career engineers, this environment offers rapid learning. You won't spend months fixing trivial bugs. Instead, you'll be exposed to distributed system design, high-performance backend services, and real production challenges.

And the learning never really stops. Teams regularly experiment with new approaches, optimize existing infrastructure, and refine how the platform handles real-time data across millions of interactions.

Worth mentioning, the company also invests heavily in its people. Mentoring programs help new engineers grow faster, and internal collaboration across teams encourages knowledge sharing.