--- title: 'Senior Software Engineer at Cognite - AI for Industry' canonical: 'https://feeny.ai/job/senior-software-engineer-cognite-ai-for-industry-bengaluru-09tka7vhngh4' type: 'job' last_seen: '2026-11-12' --- # Senior Software Engineer at Cognite - AI for Industry - **Company:** Cognite - AI for Industry - **Location:** Bengaluru, India - **Posted:** 2026-11-12 - **Last confirmed live:** 2026-11-12 - **Apply:** https://job-boards.eu.greenhouse.io/cognite/jobs/5034416101 ## Job description What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our [Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. ## About The Role We're seeking a Senior Software Engineer who excels at building high-performance distributed systems and thrives in a fast-paced startup environment. You'll be working on cutting-edge data infrastructure challenges that directly impact how Fortune 500 industrial companies manage their most critical operational data. ## How you’ll demonstrate Ownership - Build high-performance data pipelines using Spark, Flink, and Kafka to process terabyte-scale industrial datasets. - Develop low-latency APIs and services supporting thousands of concurrent users with sub-second response times. - Optimize time-series, sensor, and operational data storage and retrieval for massive scale. - Engineer distributed processing solutions, including real-time streaming that handles millions of events per second. - Design and evolve cost-efficient data lake architectures (S3/GCS) using modern formats like Parquet/ORC. - Optimize OLAP query performance across systems such as ClickHouse, Pinot, or Druid. - Build fault-tolerant, highly-available systems with circuit breakers, retries, and distributed tracing. - Drive technical innovation through research, prototyping, and contributions to open-source. - Collaborate with product and architecture teams to translate complex industrial data problems into scalable, production-grade solutions. The Impact you bring to Cognite - Deep expertise in Spark internals, including Catalyst optimizer, partitioning, and performance tuning. - Strong hands-on experience with Flink/Kafka for both streaming and batch workloads. - Proven ability to scale systems to 10K+ QPS with strong foundations in JVM performance, GC tuning, and memory management. - Experience building high-throughput REST/gRPC services and advanced caching with Redis/in-memory data structures. - Strong understanding of monitoring and observability (Prometheus, Grafana, OpenTelemetry). - Solid architectural thinking with an ability to design distributed, secure, and resilient platforms. - Collaborative mindset with the ability to work across engineering, product, and platform teams. Required Qualifications - 6–12 years of experience in distributed data systems, backend engineering, or platform engineering. - Strong programming skills in Scala, Java, or Python. - Experience with cloud platforms (AWS/GCP/Azure) and data lake/object storage. - Prior experience with large-scale data, OLAP systems, or industrial/IoT data is a plus. - Contributions to open-source or experience in industrial data/AI platforms is an added advantage. What we offer: - Opportunity to build world-class Industrial DataOps systems powering global energy, manufacturing, and industrial AI customers. - A fast-growing, high-ownership environment in Cognite’s India R&D Center. - Work on cutting-edge distributed systems, streaming architectures, AI-ready data platforms, and industrial-scale challenges. - A culture that rewards innovation, autonomy, continuous learning, and open-source contribution. - Competitive compensation, equity, and benefits aligned with Cognite’s global standards. Learn more about us - [Impact 2025](https://www.cognite.com/en/resources/blog/key-highlights-from-impact-2025) - [Cognite's Industrial AI: Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) - We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. ## Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment. ## About Cognite - AI for Industry ## Company Overview - **One-liner**: Cognite delivers industrial AI software that unifies siloed operational data to help energy, process manufacturing, and other industrial companies improve production efficiency and scale AI solutions. - **Entity Type**: Private (backed by Aker ASA, total funding of $338.9M) - **Headquarters**: Tempe, Arizona, United States (global HQ; also Lysaker, Norway) - **Founded**: 2016 - **Founders**: Not publicly available (co-founded by a team with industrial and tech backgrounds) ## Core Business - **Primary industries**: Industrial AI, Industrial DataOps, Energy (oil & gas, renewables), Process Manufacturing, Power & Utilities - **Target customers**: B2B – enterprise industrial companies (energy, manufacturing, chemicals, etc.) - **Mission or purpose**: “Power a high-tech, sustainable, and profitable industrial future” — enabling industrial teams to move faster, work safer, and achieve more with AI. ## Products & Services - **Cognite Data Fusion®**: Open Industrial DataOps platform that contextualizes operational, engineering, and IT data into a real-time Industrial Knowledge Graph, making data accessible for AI and analytics. (SaaS/platform) - **Cognite Atlas AI™**: Low-code industrial AI agent workbench for building and deploying agentic AI to automate complex operational tasks. (AI agent platform) - **Cognite Flows™**: Tool for building and scaling production-ready industrial workflows 100x faster. (Workflow automation) - **Composable reference applications**: Pre-built solutions for production optimization, smart maintenance, workforce digitalization, and sustainability. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding $338.9M (5 rounds); Annual revenue SEK 790.7M (approx. $75M based on current exchange rates, but exact USD not given) - **Notable Investors/Partners**: Parent company Aker ASA; partners include Microsoft, Aker BP, Sopra Steria, Omny, Aize, and others. Recognized as a Leader in IDC MarketScape for Industrial DataOps Platforms. - **Growth Signals**: 663 employees (+20.9% YoY); 102 active job postings (+67.2% YoY); LinkedIn followers 103,713 (+65.8% yearly); committed to delivering $100B in customer value by 2035; customers report 30-80% reduction in maintenance time and 4-month deployment cycles. ## Competitive Advantages - **Industrial domain expertise**: Deep specialization in heavy industry (energy, process manufacturing) with a platform built for complex OT/IT data integration. - **Open ecosystem**: Works with any cloud, any data source, any LLM, enabling flexible partnerships and off-the-shelf integrations. - **Low-code AI agents**: Cognite Atlas AI allows domain experts to build AI agents without deep coding, speeding adoption. - **Proven ROI**: Customers report 10x productivity improvements, rapid scaling (e.g., from pilot to 9 facilities in months), and significant downtime reduction. ## Strategic Focus - **Scaling industrial AI**: Accelerate time-to-value with pre-built solutions, AI agents, and use-case best practices. - **Global expansion**: Growing presence in Americas (Tempe, Austin, Houston), Europe (Oslo), Asia (Tokyo, Bengaluru). - **Customer value commitment**: Ambitious goal of $100B in customer value by 2035. - **Partner ecosystem**: Deepening integrations with cloud providers, system integrators, and industrial software vendors. ## Why Work Here - **Culture**: Values of Relentless (innovation, learning from setbacks), Ownership (shared responsibility, inclusivity), and Impact (result-oriented, adding value to team and customers). Described as “smart, passionate builders, and problem solvers.” - **Remote/Hybrid/Office**: Hybrid model with offices in Tempe, Austin, Houston, Oslo, Tokyo, Bengaluru. Some roles listed as “USA (remote)” indicating flexibility for certain positions. - **Diversity**: Employees from 60+ countries; global team of engineers, product managers, domain experts. - **Perks & Growth**: Opportunity to work on “biggest impact on our planet” — industrial AI at scale; strong investment in R&D and career development; fast-growing company with 100+ open roles. - **Engineering culture**: Emphasis on AI, data engineering, machine learning, and full-stack development; roles like Senior AI Engineer, ML Engineer, Data Engineer, Applied AI Engineer. ## Sources 1. [cognite.com](https://www.cognite.com/en) 2. [cognite.com](https://www.cognite.com/en/company/about-us-cognite) 3. [cognite.com](https://www.cognite.com/en/company/careers) 4. [linkedin.com](https://www.linkedin.com/company/cognitedata) 5. [cbinsights.com](https://www.cbinsights.com/company/cognite) ## Other roles at Cognite - AI for Industry - [Data Engineer](https://feeny.ai/job/data-engineer-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-tvtv7aw8zcbb) — Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico - [Software Engineer](https://feeny.ai/job/software-engineer-cognite-ai-for-industry-bengaluru-ha6dj4308dr9) — Bengaluru, India - [Data Scientist](https://feeny.ai/job/data-scientist-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-n5kc9zct4cqc) — Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico - [Engineering Manager, Atlas AI](https://feeny.ai/job/engineering-manager-atlas-ai-cognite-ai-for-industry-phoenix-z120nn4w483x) — Phoenix, AZ - [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-p2r8zr16fdwr) — Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico - [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-oslo-nagsfasyvn5p) — Oslo, Norway - [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-houston-pcym041j25fq) — Houston, TX - [Senior Software Engineer - Backend, Knowledge Graph](https://feeny.ai/job/senior-software-engineer-backend-knowledge-graph-cognite-ai-for-industry-oslo-2n5kq6e2qkny) — Oslo, Norway - [Cognite Academy Engineer](https://feeny.ai/job/cognite-academy-engineer-cognite-ai-for-industry-phoenix-4pf24w5fyayh) — Phoenix, AZ - [Product Manager](https://feeny.ai/job/product-manager-cognite-ai-for-industry-oslo-yn811jndsmce) — Oslo, Norway