CloudAEye’s mission is to enable customers achieve their business objectives by providing them with AIOps solution. An AIOps platform combines big data and artificial intelligence functionality to support primary IT operations functions through the scalable ingestion and analysis of the ever-increasing volume, variety and velocity of data generated by IT.
We are looking for an engineer to develop Cloud services, user-interface and infrastructure components for our SaaS (Software as a Service).
We encourage all engineers to take ownership over technical and product decisions, closely interact with customers to collect feedback, and contribute to a thoughtful, fair and inclusive team culture.
At CloudAEye, you will
- Work on world-class solutions to deliver industry's leading Cloud operations management
- Develop system architecture, design and build platform services for scalable, resilient, multi-tenant Cloud SaaS. Examples of work include:
- Writing microservices based distributed applications
- Designing REST APIs for backend services
- Develop user-interface for our SaaS
- Handle cross-cutting microservices concerns such as externalizing configuration, logging, health checks, metrics, distributed tracing
- Work with customers, partners, and business leaders to architect solutions for Cloud Operations
We’re looking for someone who
- Has significant (3+ years) experience developing and deploying Cloud services for a large scale software projects on public clouds (AWS, GCP, Azure)
- Has hands-on experience building multi-tenant SaaS solutions on public clouds (AWS)
- Strong experience with React, NodeJS, Java, GO, Python
- Has expertise with microservices, infrastructure as code (IaC), continuous integration/delivery (CI/CD), etc.
- Has experience working with containerization, cluster orchestration, or infrastructure management frameworks (such as Kubernetes, Docker, Terraform)
- Basic knowledge of AWS security (IAM, Cognito)
- Knowledge of good engineering practices and agile culture
- Takes initiative in a fast-paced environment
- 100% hands-on and loves to code
- Experience with Prometheus, Grafana, ELK, Jaeger, etc.
- AWS certification
- Experience with machine-learning (ML), MLOps
- Experience with Apache Flink, Spark, Hadoop, or other
- Experience working remotely in a distributed team
- Startup experience
Location
Remote - India
About us
We are a pre-seed startup based in Bay Area, California. This is a great opportunity to join an AI/ML startup at the ground floor level. Our founding team consists of members with executive MBA from the University of Michigan Ross School of Business. We have assembled core team with backgrounds in AI/ML, Cloud, DevOps, B2B, SaaS, startups, and executive leadership in Fortune 500 companies.
CloudAEye is an equal opportunity employer. Our team comes from diverse background and we actively embrace and celebrate diversity and inclusion in our culture. We seek team members with moral courage and instincts to lead. We encourage all members to take ownership over decisions, be bold, focus on impact and contribute to a thoughtful, dynamic team culture.
We offer flexible working environment, an opportunity to work in a close knit group, work in a high performance team culture, opportunity to learn from talented individuals and domain experts from the industry, and an equity and compensation package that is competitive.

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Key Responsibilities:
- Design, develop, and maintain web applications using C#, .NET Core, and SQL Server.
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- Integrate and consume RESTful APIs and ensure smooth front-end/back-end communication.
- Deploy and manage applications on Microsoft Azure using basic PaaS services (e.g., App Services, Functions, Storage, Key Vault).
- Collaborate with cross-functional teams to gather requirements, define architecture, and deliver solutions.
- Write clean, testable, and maintainable code following best practices and participate in code reviews.
- Troubleshoot, debug, and optimize application performance.
- Follow Agile development practices for planning, testing, and delivery.
Required Skills and Experience:
- Strong hands-on experience with C#, .NET Core/.NET 6+, and object-oriented programming.
- Proficiency in front-end frameworks like React or Angular with TypeScript, HTML, and CSS.
- Experience working with SQL Server or other relational databases.
- Basic knowledge of Microsoft Azure services such as App Services, Functions, Storage, and Key Vault.
- Familiarity with REST APIs, version control systems (e.g., Git), and CI/CD pipelines.
- Good understanding of software development best practices (SOLID principles, unit testing).
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Preferred Qualifications:
- Experience with Azure DevOps or similar tools for build and release pipelines.
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Job Description – Technical Lead (Java Spring Boot + Angular) – Capital Markets / Financial Services Project
Location: Whitefield, Bangalore (Work from Client Office)
Experience: 8–14 Years
Role Overview
We are seeking an experienced Technical Lead with strong expertise in Java Spring Boot and Angular to lead the development of enterprise-grade applications for a large-scale Banking/Financial Services project. The ideal candidate will combine hands-on technical leadership with strong architecture, design, and stakeholder management capabilities while driving the delivery of high-performance, secure, and scalable solutions.
Key Responsibilities
- Lead and mentor a team of 8–10 developers across front-end and back-end technologies.
- Design, develop, and maintain scalable applications using Java, Spring Boot, Microservices, and Angular.
- Drive technical solutioning, architecture discussions, and application modernization initiatives.
- Collaborate with business stakeholders, product owners, architects, and cross-functional teams to translate business requirements into technical solutions.
- Ensure adherence to coding standards, security guidelines, and development best practices.
- Conduct code reviews, design reviews, sprint planning, and technical grooming sessions.
- Optimize application performance, scalability, reliability, and resiliency.
- Troubleshoot complex production issues and drive root-cause analysis.
- Support CI/CD implementation and DevOps best practices.
- Mentor team members and foster a culture of continuous improvement and technical excellence.
Technical Skills Required
- Strong experience in Java 8/11/17, Spring Boot, Microservices, REST APIs.
- Hands-on expertise in Angular 8+, TypeScript, HTML5, CSS3.
- Experience with Hibernate/JPA and relational databases such as MySQL or PostgreSQL.
- Good understanding of distributed systems, API design, and secure application development.
- Experience with Git, Maven/Gradle, Jenkins, CI/CD pipelines.
- Exposure to cloud technologies, preferably AWS.
- Knowledge of messaging technologies such as Kafka or RabbitMQ is advantageous.
- Experience working in Agile/Scrum environments.
Domain Experience (Preferred)
- Experience in Banking, Financial Services, Credit Cards, Lending, Payments, Risk, Fraud, Customer Servicing, or Digital Banking platforms.
- Understanding of secure, high-volume transaction processing systems and regulatory/compliance-driven environments.
Soft Skills
- Excellent communication and stakeholder management skills.
- Strong client-facing and leadership capabilities.
- Ability to drive technical decisions and influence architecture direction.
- Strong analytical, problem-solving, and decision-making skills.
NOTE: One client round has to be taken F2F from Bangalore Office.
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- Amazon AWS services – EC2, WAF, EBS, SNS, SES, Lambda, Fargate, etc.
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- Top-notch programming and analytical skills
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Job Description: Principal Engineer (Full Stack Architect)
Job Title: Full Stack Architect
Location: Hyderabad, India
Experience: 15Years to 20 years (4+ years in Enterprise Architecture)
Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.
Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning
Job Summary
As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.
This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.
Roles and Responsibilities
Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.
Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.
Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.
Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.
Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.
Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.
Mentorship: Mentor junior engineers and foster a collaborative team environment.
Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.
Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.
Mandatory Requirements
Experience: 12+ years of full-stack development experience, with significant expertise
in building and architecting applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Proven track record of architecting and implementing large-scale
distributed systems with a focus on reliability, scalability, and performance.
Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),
with a deep understanding of cloud services such as compute, storage, networking, and
security.
Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like
Neo4j. Experience with vector databases for high-dimensional data processing.
Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs
for solving complex data relationships.
Data Structures & Algorithms: Strong knowledge of DSA with practical experience in
solving complex technical challenges.
Microservices Architecture: Experience in designing and developing microservices-based
architectures and ensuring high availability.
DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).
Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.
Nice-to-Have Requirements
Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).
Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.
Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).
AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.
Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.
System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.
Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).
Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.
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Develop high-quality software design and architecture.
Achieve the timeline with quality delivery of assigned tasks.
Able to do technical analysis and code review.
Able to troubleshoot internal & production bugs.
Coordinate and support to project co-ordinator/project manager.
Development coding standards are achieved.
Work with internal teams to understand and analyse their needs and to ensure that proposed solution caters to same.
Adopt new technology in quick time.
Implement Unit tests and Functional tests to ascertain highest quality of deliverables.
Identify, prioritize and execute tasks in the software development life cycle.
Understand business needs and know how to implement needs in system to meet business needs.
Able to create the technical documents.
Able to leading team members and planning of team’s task.
Design, develop, modify, implement, and support software components anywhere in the software stack.
Work in close partnership with cross-functional teams and management.
Requirements
Having knowledge of ASP .Net / .net core, Web API, Micro Services, JavaScript, jQuery, Bootstrap, Flutter.
Having good Release management, Cloud Management & Data base management knowledge
Having fluency in Agile methodology
Having knowledge of Power BI / Tablue will be added advantage
Soft skills – Manager level skill
Critical thinker and creative mindset and the ability to approach a problem creatively.
Ability to provide in-depth evaluation and analysis of unique complex technological issues.
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- Strong proficiency with .Net Core API development
- Experience with caching approaches for API
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- Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
- Skilled at performance optimization of .NET APIs
- Experience & Knowledge on Open API specification & swagger documentation
- Experience in building Cloud Native Applications
- Experience in Microservices architecture
- Has worked on the deployment of applications using Docker
- Has Knowledge of Kubernetes
- Has Experience with Cache systems like Redis.
Nice to Have:
- Familiar with .NET design patterns
- Performance tuning of SQL Stored Procedures
Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.
Opportunity to work as a Technical lead.
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