About Stem - Driven by human and artificial intelligence - Stem is unlocking energy intelligence Stem is a global leader reimagining technology to support the energy transition Turning complexity into clarity and potential into performance We help asset owners operators and stakeholders benefit from the full value of their energy portfolio by enabling the intelligent development deployment and operation of clean energy assets Our integrated software suite PowerTrack is the industry standard and best-in-class for asset monitoring supported by professional and managed services under one roof Meant to tackle challenges as seamlessly as possible Stem shows the information needed clearly and accurately and helps harness raw data to inform actionable insight With global projects managed in 55 countries - from Germany to Japan and across North America - customers have relied on Stem for nearly 20 years to maximize the value of their clean energy projects Stem s culture embodies diversity inclusion beyond the traditional facets of gender ethnicity age disabilities and sexual orientation to include experience personality communication workstyles and more At our core Stem is at the momentous intersection of clean energy and software technology where diverse ideas experiences and professional skills converge to make the inclusive culture we have today Together we are turning old school thoughts about software and energy into progressive collaborative and innovative solutions By joining our team you will be collaborating with data scientists energy experts skilled salespeople thought-leading executives and more from a range of backgrounds This intersection of ideas beliefs and skills is what makes us unique enough to lead the world s largest network of digitally connected energy storage systems Role Overview We are seeking a Principal Cloud Infrastructure Engineer to provide technical leadership and ownership of Stem s core data platform and pipeline architecture Approximately 70 of this role will focus on designing scaling and operating high-performance data pipelines and distributed backend systems The remaining 30 will support microservices development This is a technical leadership position responsible for defining platform architecture setting engineering standards and driving reliability scalability and operational excellence across the organization Key ResponsibilitiesArchitect design and own large-scale data pipelines for real-time and batch ingestion transformation and delivery Provide technical leadership and architectural direction for distributed backend and data platform systems Establish platform-wide standards for performance reliability security and maintainability Lead technical design reviews and mentor senior engineers on data platform and infrastructure best practices Drive operational excellence including observability alerting incident response and post-incident improvements Own the reliability and correctness of systems powering analytics forecasting and control platforms Influence long-term technical roadmap and platform evolution in partnership with engineering leadership Collaborate closely with US-based engineering product and operations teams Support OpenADR integrations and utility data import services Required Qualifications12 years of experience in distributed systems cloud infrastructure or data platform engineering Expert-level programming skills in Java and Python both required Deep expertise in designing and operating data pipelines streaming and batch Strong understanding of distributed systems principles fault tolerance scalability consistency and performance Proven experience operating Kubernetes-based systems in production environments Strong experience with real-time processing frameworks such as Spark or Flink Solid experience with SQL and NoSQL datastores Search platforms such as Elasticsearch Proven leadership in building and operating monitoring observability and alerting platforms Demonstrated ability to influence architecture across multiple teams and services Preferred QualificationsBachelor s degree in computer science Engineering or a related technical field is required Experience with OpenADR or demand response energy market integrations Experience designing utility data ingestion pipelines e g meter data market data settlement files Experience working in regulated compliance-driven or reliability-critical environments Robust hands-on experience with AWS Nice to have Experience building or integrating AI agents or intelligent automation systems such as LLM-based agents workflow orchestration or AI-driven operational tooling Core Technologies and PlatformsJava Python Kubernetes and cloud-native infrastructure Large-scale data pipelines streaming and batch Spark Flink or similar processing frameworks SQL databases NoSQL datastores Elasticsearch Observability platforms metrics logging tracing alerting Stem Inc is an equal opportunity employer committed to diversity in the workplace and does not discriminate against any employee or applicant for employment because of race color sex pregnancy religion national origin ethnicity citizenship sexual orientation gender identity age marital status disability genetic information military status protected veteran status or any other factor protected by applicable federal state or local laws

📌 Principal Cloud Infrastructure Engineer (Haryana)
🏢 Important Business
📍 Haryana