Bidgely

Lead Software Engineer

Bidgely is seeking an exceptional and visionary Lead Software Engineer to join its core team in Bangalore. As a Lead Software Engineer, you will be working closely with EMs and org heads in shaping the roadmap and planning and set the technical direction for the team, influence architectural decisions, and mentor other engineers while delivering highly reliable, scalable products powered by large data, advanced machine learning models, and responsive user interfaces. Renowned for your deep technical expertise, you are capable of deconstructing any system, solving complex problems creatively, and elevating those around you. Join our innovative and dynamic team that thrives on creativity, technical excellence, and a belief that nothing is impossible with collaboration and hard work.

Responsibilities

• Lead the design and delivery of complex, scalable web services, APIs, and backend data modules.
• Define and drive adoption of best practices in system architecture, component reusability, and software design patterns across teams.
• Provide technical leadership in product, architectural, and strategic engineering discussions.
• Mentor and guide engineers at all levels, fostering a culture of learning and growth.
• Collaborate with cross-functional teams (engineering, product management, data science, and UX) to translate business requirements into scalable, maintainable solutions.
• Champion and drive continuous improvement initiatives for code quality, performance, security, and reliability.
• Evaluate and implement emerging technologies, tools, and methodologies to ensure competitive advantage.
• Present technical concepts and results clearly to both technical and non-technical stakeholders; influence organizational direction and recommend key technical investments.

Requirements

• 6+ years of experience in designing and developing highly scalable backend and middle tier systems.
• BS/MS/PhD in Computer Science or a related field from a leading institution.
• Demonstrated mastery of data structures, algorithms, and system design; experience architecting large-scale distributed systems and leading significant engineering projects.
• Deep fluency in Java, Spring, Hibernate, J2EE, RESTful services; expertise in at least one additional backend language/framework.
• Strong hands-on experience with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Redis) databases, including schema design, optimization, and performance tuning for large data sets.
• Experience with Distributed Systems, Cloud Architectures, CI/CD, and DevOps principles.
• Strong leadership, mentoring, and communication skills; proven ability to drive technical vision and alignment across teams.
• Track record of delivering solutions in fast-paced and dynamic start-up environments.
• Commitment to quality, attention to detail, and a passion for coaching others.

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.

• 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.

•  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.