Senior Software Engineer

2 weeks ago

Bengaluru, Karnataka, India Cognite Full time ₹ 15,00,000 - ₹ 60,00,000 per year
About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
About the Opportunity Join our Bengaluru engineering hub to build the data backbone of the next-gen industrial AI platform. This is a greenfield role where you'll architect and own large-scale distributed systems handling terabytes of real-time industrial data daily — powering decisions that impact billion-dollar operations worldwide. If you're driven by complex technical challenges where milliseconds, reliability, and impact all matter — this is your stage. Why This Role Stands Out
  • Impact at Scale: Build systems that power Fortune 500 industrial operations, cutting costs and preventing downtime.
  • Real Engineering Challenges: Tackle data fusion, sub-second queries on petabyte-scale datasets, and resilient SaaS infrastructure.
  • Ownership from Day One: Shape the tech direction and culture as part of the Bengaluru core team with direct leadership access.
  • World-Class Culture: Collaborate with global teams, use modern tools, and grow in an environment that values craftsmanship, learning, and autonomy.
How you will create an impact
  • Build Systems That Power Industrial DataOps
  • Design and implement high-throughput data ingestion and processing services that integrate industrial data sources into a unified, contextualized data platform.
  • Own key components and services end-to-end, from technical design through deployment, monitoring, and production operations.
  • Contribute to architectural discussions and collaborate with Principal/Staff engineers on technical design and platform strategy
    Solve Complex Industrial Data Challenges
  • Build robust, fault-tolerant services and APIs that process industrial data at scale with high reliability
  • Implement low-latency microservices that power real-time industrial AI applications, digital twins, and predictive maintenance systems
  • Tackle complex technical problems across the stack, demonstrating technical depth and ability to work in multiple programming languages
  • Work on challenges like: real-time data processing, distributed system design, schema evolution, query optimization, and multi-tenant SaaS architecture
    Own Operational Excellence for Your Services
  • Build services with strong observability and monitoring, ensuring system health, uptime, and fast incident response
  • Take ownership of your services: performance tuning, capacity planning, and continuous optimization
  • Participate in on-call rotations, solve live production issues, and conduct thorough RCA (Root Cause Analysis) to prevent recurrence
  • Evaluate and propose new technologies and approaches to improve your services and team productivity
    Grow as a Technical Leader
  • Write high-quality, well-tested, and maintainable code that sets the standard for engineering excellence
  • Participate in architectural reviews and contribute your perspective on system design and technical decisions
  • Mentor junior engineers through code reviews, pair programming, and technical guidanceWork hands-on to deliver features, fix critical bugs, and support high-priority initiatives
What You Bring to the Table
  • 8–10 years of hands-on backend engineering experience with distributed systems and microservices.
  • Proficiency in C# (required) and at least one of Rust, Scala, Kotlin, or Java.
  • Strong grasp of system design, APIs, and cloud-native development (Azure/AWS/GCP).
  • Experience with Kubernetes, Docker, CI/CD, and databases (PostgreSQL, Elasticsearch, NoSQL).
  • Solid understanding of event-driven architectures, data consistency, and observability tools.
  • Collaborative, clear communicator with a problem-solving and ownership mindset.
  • Eager to learn, adapt, and deliver high-quality, scalable software.
  • Nice to Have:
  • Experience with industrial protocols, Rust, Kafka, Spark, React+TypeScript, or IoT/time-series systems.
  • Exposure to ML/AI systems or open-source contributions.
  • Qualifications:
  • Bachelor's/Master's in Computer Science or equivalent.
  • Proven track record building and supporting backend systems in production.
What We Offer
  • Top-tier compensation aligned with India's best tech talent
  • Global impact: Build products used by Fortune 500 companies
  • Career growth: Clear path to Staff/Principal roles with strong mentorship
  • Modern workplace: Flexible hybrid model, world-class tools, and infrastructure
  • Continuous learning: Budgets for conferences, certifications, and upskilling
  • High-trust culture: Work directly with senior engineering leadership
Join the Global Cognite Community Be part of a diverse, global team of 70+ nationalities, building technology that transforms how the world's industries operate. Work from our modern Bengaluru hub in a hybrid, high-trust environment with a flat structure and direct access to decision-makers. At Cognite, you'll learn fast, make an impact, and grow your career alongside exceptional talent. Why Cognite Recognized by CNBC and Frost & Sullivan as a global innovation leader, Cognite is driving the next wave of industrial AI and digital transformation. Join us to shape the future of data and industry. Apply today — and follow us on LinkedIn (@Cognite) to discover more opportunities.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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