PRINCIPAL

Principal Engineer/Architect (India)

BidgelyVisit website ↗·Posted 1 month ago

Location

About the Role

How We Do It

From a distributed energy resources (DER) and grid edge perspective, Bidgely is advancing smart meter innovation with data-driven solutions for solar PVs, electric vehicle (EV) detection, EV behavioral load shifting and managed charging, energy theft, short-term load forecasting, grid analytics and time of use (TOU) rate designs. Bidgely’s UtilityAITM energy analytics provides deep visibility into generation and consumption for better peak load shaping and grid planning and delivers targeted recommendations for new value-added products and services.

For more information, please visit-

Website: www.bidgely.com

Blog: bidgely.com/blog

Role Summary:

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.

Requirements:

• 9+ 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 solid plus.

About You:

We’re looking for candidates with a proven ability to work effectively with all levels within the organization, a strong aptitude for idea generation and the ability to work with the subtleties of experience design, analytics, and data-driven iteration. Passionate about a clean energy future Enjoy Ambiguity - You thrive in an environment that is fast-paced, challenging, and has many unknowns Innovative - You challenge the status quo to drive impact Results driven - Be dedicated to delivering stellar outcomes, and accept nothing less. Know your goals, chart your path, and execute with precision and passion. Quality Focused - Quality is at the heart of everything you do. You take great pride in your work and are a trusted resource.

Equal Opportunity Statement:

Bidgely is an equal-opportunity employer. We are serious about and embrace diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills to build a better future and a better workforce.

HireIQ AI InsightsBeta

Ideal Candidate

Someone who has architected distributed data systems handling 100B+ events/day (Kafka, Spark, NoSQL at scale) at a growth-stage SaaS, moved beyond individual IC contributions to setting engineering direction, and can navigate ambiguity in emerging ML infrastructure patterns.

Estimated Salary Range(medium confidence)

₹30 L – ₹55 L per year

Likely Interview Questions

1.Walk us through a time you designed a high-throughput ingestion + real-time serving architecture. What trade-offs did you make between latency, throughput, and cost, and how did you validate those decisions?
🔒 4 more questions locked — unlock with Professional + run a full mock interview

🔒 Strengths to highlight + red flags locked.

Land this role fasterProfessional

🎙️