Lead FullStack Software Developer
Aquila Clouds
A complete application in a minute
Tailored resume and cover letter, ready to send.
Benefits offered by this job
Job summary
AquilaClouds is seeking a Lead FullStack Software Developer to own critical initiatives end-to-end, architect scalable solutions, and mentor engineers. You’ll work on enterprise-grade AI-enabled cloud platforms, integrating Java/Spring Boot backends with React frontends and cloud-native infrastructure.
Ideal candidates have 10+ years in software development, strong Java/J2EE skills, and hands-on cloud/Kubernetes experience, with a track record of leadership and delivering complex projects on
Qualifications
- 10+ years hands-on experience building and delivering enterprise-grade software products.
- Expert-level proficiency in Java/J2EE, Spring Boot, Hibernate, and microservices architecture.
- 5+ years developing and optimizing applications with PostgreSQL and relational databases.
- Front-end experience with React.js and building modern web applications.
- Hands-on experience with cloud platforms (AWS, Azure, GCP, OCI) and Kubernetes for deployment and observability.
Responsibilities
- Own end-to-end delivery of complex technical initiatives from requirements to production deployment.
- Architect scalable, high-performance solutions for enterprise-grade AI/cloud workloads.
- Lead design reviews and provide architectural guidance to development teams.
- Mentor and lead a team of engineers, ensuring code quality and best practices.
- Collaborate with product managers to translate business needs into robust technical solutions.
Skills
Education
Tools
Job description
Location: Pune, India
Are you a motivated innovator who turns ideas into reality? Do you thrive on solving complex problems and building technology that will shape the future? AquilaClouds is a Silicon Valley-based startup revolutionizing AI-powered cloud management. We're building the next generation of autonomous cloud platforms—driven by AI and intelligent automation—that self-optimize, proactively protect, and seamlessly migrate workloads across on-premises, multi-cloud, and containerized environments. We foster a collaborative culture focused on collective growth, delivering exceptional value to our customers, and tackling ambitious challenges. We believe in asking tough questions, supporting each other with critical thinking and innovative solutions, and winning together. If you're ready to join a team driving exponential innovation and growth, let's talk.
We're seeking an experienced Lead FullStack Software Developer to join our engineering team. As a technical leader, you'll own critical initiatives from conception to delivery, working closely with product managers, development teams, and quality engineers. You'll architect and build enterprise-grade solutions that power our next-generation Agentic AI Hybrid cloud and AI workload management platform, while mentoring developers and driving technical excellence across the organization.
- Own and drive end-to-end delivery of complex technical initiatives, from requirements to production deployment.
- Architect scalable, high-performance solutions for enterprises using large-scale AI and cloud environments.
- Lead technical design reviews and provide architectural guidance to development teams.
- Establish engineering best practices, design patterns, and coding standards across the organization.
- Collaborate with product managers to translate business requirements into robust technical solutions.
- Design and develop containerized microservices-based backend systems using Java, Spring Boot, and Hibernate.
- Build responsive, high-performance frontend applications using React.js with custom component development.
- Implement RESTful APIs and integrate with cloud services across AWS, Azure, GCP, and OCI.
- Optimize database performance for large-scale datasets using PostgreSQL and other data stores.
- Deploy and manage cloud-native applications using Kubernetes with Helm charts for configuration management.
- Design and implement agentic AI systems that autonomously make decisions and execute actions within the platform.
- Build analytics pipelines and integrate machine learning models for cost optimization, anomaly detection, and predictive insights.
- Develop AI-powered automation workflows for cloud resource management and optimization.
- Integrate with ML frameworks and services to deliver intelligent, data-driven features.
- Design fault-tolerant, highly available systems that perform seamlessly at enterprise scale.
- Implement observability, monitoring, and optimization solutions for Kubernetes environments.
- Apply advanced design patterns and architectural principles to solve complex technical challenges.
- Ensure system resilience, security, and performance across distributed cloud infrastructures.
- Drive innovation by evaluating and adopting emerging technologies and frameworks.
- Lead and mentor a team of software developers, fostering technical growth and collaboration.
- Conduct code reviews to ensure quality, maintainability, and adherence to best practices.
- Manage multiple concurrent projects with competing priorities and tight deadlines.
- Build a culture of continuous learning, innovation, and technical excellence.
- Provide technical leadership during critical production issues and escalations.
- 10+ years of hands-on experience building and delivering enterprise-grade software products
- Expert-level proficiency in Java/J2EE, Spring Boot, Hibernate, and microservices architecture
- Strong experience with RESTful API design, JSON, and modern backend frameworks
- 5+ years developing and optimizing applications with PostgreSQL and relational databases
- Performance tuning expertise for large-scale datasets and high-throughput systems
- 5+ years developing custom React.js components and building modern web applications
- Deep understanding of React ecosystem, state management, and component lifecycle
- Experience creating reusable, performant UI components from scratch
- Hands-on experience with cloud platforms (AWS, Azure, GCP, OCI) and their core services
- Strong knowledge of Kubernetes for container orchestration, observability, and optimization
- Experience building and deploying containerized microservices in production environments
- Proficiency with Helm charts for Kubernetes application deployment and configuration management
- Familiarity with CI/CD pipelines and DevOps practices
- Experience building agentic AI systems that autonomously reason, plan, and execute actions
- Hands-on experience with analytics platforms and data processing frameworks
- Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and ML model deployment
- Understanding of LLMs, prompt engineering, and AI agent architectures
- Python, Flask, and SQLAlchemy for backend services
- Databricks for data engineering and analytics workloads
- VMware and virtualization technologies
- Proven track record leading development teams and delivering complex projects on time.
- Ability to quickly learn and implement new technologies, frameworks, and tools
- High-energy, detail-oriented, and proactive approach to problem-solving.
- Strong analytical and troubleshooting skills for complex distributed systems.
- Excellent written and verbal communication skills
- Strong collaboration, relationship-building, and organizational abilities
- Self-motivated with a driver mentality and ability to function independently under pressure
- Advanced knowledge of software engineering concepts, methodologies, and SDLC
Bachelor's or Master's degree in Computer Science, Engineering (BTech/BE/MTech/MS), MCA, or equivalent.
- Architect and build cutting-edge AI-powered cloud platforms with agentic AI capabilities.
- Lead technical initiatives with significant impact on enterprise customers.
- Work with modern tech stack: Java, Spring Boot, React, Kubernetes, Helm, AI/ML, multi-cloud
- Mentor talented engineers in a collaborative, innovation-driven startup culture.
- Shape the technical direction of a high-growth company positioned for exponential success.
- Competitive compensation and opportunity for professional growth
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
