{"id":4152391,"url":"https://alion.io/job/cognite-senior-software-engineer-2","title":"Senior Software Engineer","company":{"id":4475,"name":"Cognite","domain":"cognite.com","url":"https://alion.io/company/cognite","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":7,"ghost_share":0,"stale_share":0.714,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ClickHouse","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-12T06:09:24Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-14T12:15:41Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"What Cognite is:Relentlessto achieve\nCognite 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.\nWe 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. \nOur Moonshot 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.\nAbout The Role\n\nWe'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.\nHow you’ll demonstrate Ownership\nBuild high-performance data pipelines using Spark, Flink, and Kafka to process terabyte-scale industrial datasets.\nDevelop low-latency APIs and services supporting thousands of concurrent users with sub-second response times.\nOptimize time-series, sensor, and operational data storage and retrieval for massive scale.\nEngineer distributed processing solutions, including real-time streaming that handles millions of events per second.\nDesign and evolve cost-efficient data lake architectures (S3/GCS) using modern formats like Parquet/ORC.\nOptimize OLAP query performance across systems such as ClickHouse, Pinot, or Druid.\nBuild fault-tolerant, highly-available systems with circuit breakers, retries, and distributed tracing.\nDrive technical innovation through research, prototyping, and contributions to open-source.\nCollaborate with product and architecture teams to translate complex industrial data problems into scalable, production-grade solutions.\nThe Impactyou bring to Cognite\nDeep expertise in Spark internals, including Catalyst optimizer, partitioning, and performance tuning.\nStrong hands-on experience with Flink/Kafka for both streaming and batch workloads.\nProven ability to scale systems to 10K+ QPS with strong foundations in JVM performance, GC tuning, and memory management.\nExperience building high-throughput REST/gRPC services and advanced caching with Redis/in-memory data structures.\nStrong understanding of monitoring and observability (Prometheus, Grafana, OpenTelemetry).\nSolid architectural thinking with an ability to design distributed, secure, and resilient platforms.\nCollaborative mindset with the ability to work across engineering, product, and platform teams.\nRequired Qualifications\n6-12 years of experience in distributed data systems, backend engineering, or platform engineering.\nStrong programming skills in Scala, Java, or Python.\nExperience with cloud platforms (AWS/GCP/Azure) and data lake/object storage.\nPrior experience with large-scale data, OLAP systems, or industrial/IoT data is a plus.\nContributions to open-source or experience in industrial data/AI platforms is an added advantage.\nWhat we offer:\nOpportunity to build world-class Industrial DataOps systems powering global energy, manufacturing, and industrial AI customers.\nA fast-growing, high-ownership environment in Cognite’s India R&D Center.\nWork on cutting-edge distributed systems, streaming architectures, AI-ready data platforms, and industrial-scale challenges.\nA culture that rewards innovation, autonomy, continuous learning, and open-source contribution.\nCompetitive compensation, equity, and benefits aligned with Cognite’s global standards.\nLearn more about us\nImpact 2025\nCognite's Industrial AI: Moonshot\nWe’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.\n Equal Opportunity\nCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. 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