Bidgely
https://bidgely.comAbout
Bidgely is an energy-intelligence company founded in 2011. They specialise in turning smart-meter and utility data into actionable insights via their platform UtilityAI™. Their goal: help utilities (electric, gas, water) personalise customer engagement, modernise grids, enable EV charging, distributed energy resources—all while lowering operating cost and improving efficiency. They work globally (North America, Europe, Asia Pacific) and are in a growth/scale-up phase.
Bidgely holds 17+ patents and has raised over $50M in funding. Our team of 30+ data scientists and 150+ engineers brings a shared passion for using AI to revolutionize how the world consumes energy.
As energy usage evolves, our platform is scaling fast — growing from 700 billion to trillions of data points processed. Headquartered in Silicon Valley with hubs in India and Europe, Bidgely blends the agility of a scale-up with the impact of a global clean-energy leader.
Our India Development Center is the heart of innovation, driving data science, technology, and product delivery for customers worldwide.
Candid answers by the company
They provide an AI-powered SaaS platform (UtilityAI™) that takes meter-data (AMI or non-AMI) and disaggregates usage to the appliance level for each household, enabling utilities to personalise engagement and optimise grid operations.
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Jobs at Bidgely
Java
Amazon Web Services (AWS)Bidgely is seeking an outstanding and deeply technical Principal Engineer / Sr. Principal Engineer / Architect to lead the architecture and evolution of our next-generation data and platform infrastructure. This is a senior IC role for someone who loves solving complex problems at scale, thrives in high-ownership environments, and influences engineering direction across teams.
You will be instrumental in designing scalable and resilient platform components that can handle trillions of data points, integrate machine learning pipelines, and support advanced energy analytics. As we evolve our systems for the future of clean energy, you will play a critical role in shaping the platform that powers all Bidgely products.
Responsibilities
- Architect & Design: Lead the end-to-end architecture of core platform components – from ingestion pipelines to ML orchestration and serving layers. Architect for scale (200Bn+ daily data points), performance, and flexibility.
- Technical Leadership: Act as a thought leader and trusted advisor for engineering teams. Review designs, guide critical decisions, and set high standards for software engineering excellence.
- Platform Evolution: Define and evolve the platform’s vision, making key choices in data processing, storage, orchestration, and cloud-native patterns.
- Mentorship: Coach senior engineers and staff on architecture, engineering best practices, and system thinking. Foster a culture of engineering excellence and continuous improvement.
- Innovation & Research: Evaluate and experiment with emerging technologies (e.g., event-driven architectures, AI infrastructure, new cloud-native tools) to stay ahead of the curve.
- Cross-functional Collaboration: Partner with Engineering Managers, Product Managers, and Data Scientists to align platform capabilities with product needs.
- Non-functional Leadership: Ensure systems are secure, observable, resilient, performant, and cost-efficient. Drive excellence in areas like compliance, DevSecOps, and cloud cost optimization.
- GenAI Integration: Explore and drive adoption of Generative AI to enhance developer productivity, platform intelligence, and automation of repetitive engineering tasks.
Requirements:
- 8+ years of experience in backend/platform architecture roles, ideally with experience at scale.
- Deep expertise in distributed systems, data engineering stacks (Kafka, Spark, HDFS, NoSQL DBs like Cassandra/ElasticSearch), and cloud-native infrastructure (AWS, GCP, or Azure).
- Proven ability to architect high-throughput, low-latency systems with batch + real-time processing.
- Experience designing and implementing DAG-based data processing and orchestration systems.
- Proficient in Java (Spring Boot, REST), and comfortable with infrastructure-as-code and CI/CD practices.
- Strong understanding of non-functional areas: security, scalability, observability, and
- compliance.
- Exceptional problem-solving skills and a data-driven approach to decision-making.
- Excellent communication and collaboration skills with the ability to influence at all levels.
- Prior experience working in a SaaS environment is a strong plus.
- Experience with GenAI tools or frameworks (e.g., LLMs, embedding models, prompt engineering, RAG, Copilot-like integrations) to accelerate engineering workflows or enhance platform intelligence is highly desirable.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
- Design and develop a framework, internal tools, and scripts for testing large-scale data systems, machine learning algorithms, and responsive User Interfaces.
- Create repeatability in testing through automation
- Participate in code reviews, design reviews, architecture discussions.
- Performance testing and benchmarking of Bidgely product suites
- Driving the adoption of these best practices around coding, design, quality, performance in your team.
- Lead the team on all technical aspects and own the quality of your teams’ deliverables
- Understand requirements, design exhaustive test scenarios, execute manual and automated test cases, dig deeper into issues, identify root causes, and articulate defects clearly.
- Strive for excellence in quality by looking beyond obvious scenarios and stated requirements and by keeping end-user needs in mind.
- Debug automation, product, deployment, and production issues and work with stakeholders/team on quick resolution
- Deliver a high-quality robust product in a fast-paced start-up environment.
- Collaborate with the engineering team and product management to elicit & understand their requirements and develop potential solutions.
- Stay current with the latest technology, tools, and methodologies; share knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
- BS/MS in Computer Science, Electrical or equivalent
- 6+ years of experience in designing automation frameworks, tools
- Strong object-oriented design skills, knowledge of design patterns, and an uncanny ability to
design intuitive module and class-level interfaces - Deep understanding of design patterns, optimizations
- Experience leading multi-engineer projects and mentoring junior engineers
- Good understanding of data structures and algorithms and their space and time complexities. Strong technical aptitude and a good knowledge of CS fundamentals
- Experience in non-functional testing and performance benchmarking
- Knowledge of Test-Driven Development & implementing CD/CD
- Strong hands-on and practical working experience with at least one programming language: Java/Python/C++
- Strong analytical, problem solving, and debugging skills.
- Strong experience in API automation using Jersey/Rest Assured.
- Fluency in automation tools, frameworks such as Selenium, TestNG, Jmeter, JUnit, Jersey, etc...
- Exposure to distributed systems or web applications
- Good in RDBMS or any of the large data systems such as Hadoop, Cassandra, etc.
- Hands-on experience with build tools like Maven/Gradle & Jenkins
- Experience in testing on various browsers and devices.
- Strong communication and collaboration skills.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Deep Learning
Machine Learning (ML)● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.
● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.
● Productize has proven or working models into production-quality code.
● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions
● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.
● File patents for innovative solutions that add to the company's IP portfolio
Requirements
● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.
● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)
● Experience in productizing models to code in a fast-paced start-up
environment.
● Fluency in analytical tools such as Matlab, R, Weka etc.
● Strong intuition for data and Keen aptitude on large scale data analysis
● Strong communication and collaboration skills.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring BootAmazon Web Services (AWS)● Design and deliver scalable web services, APIs, and backend data modules.
Understand requirements and develop reusable code using design patterns &
component architecture and write unit test cases.
● Collaborate with product management and engineering teams to elicit &
understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas, and methodologies; share
knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
● 3-6 years of strong experience in developing highly scalable backend and
middle tier. BS/MS in Computer Science or equivalent from premier institutes
Strong in problem-solving, data structures, and algorithm design. Strong
experience in system architecture, Web services development, highly scalable
distributed applications.
● Good in large data systems such as Hadoop, Map Reduce, NoSQL Cassandra, etc.. Fluency in Java, Spring, Hibernate, J2EE, REST Services Ability to deliver code
quickly from given scenarios in a fast-paced start-up environment.
● Attention to detail. Strong communication and collaboration skills.
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