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Sobre esta vaga de Manager Fullstack Java na Weekday AI

Weekday AI · Presencial · Bengaluru, Karnataka, India

This role is for one of Weekday’s clients
Salary range: Rs 3600000 - Rs 4600000 (ie INR 36 - 46 LPA)


Min Experience: 15+ years
Location: Bangalore, Hybrid (3 days onsite, 2 days remote)
JobType: full-time

We are seeking an experienced Manager – Full-Stack Java Engineering to lead the design, development, and delivery of scalable, high-performance software products and features. This role combines hands-on engineering expertise with technical leadership, cross-functional collaboration, and mentorship to build robust, secure, and future-ready applications.

The ideal candidate will have extensive experience in Java-based backend development, modern frontend frameworks, microservices architecture, and distributed systems. You will work closely with product managers, UX designers, and engineering teams to deliver user-centric solutions, improve system reliability, and drive engineering excellence. The role requires strong technical ownership, the ability to guide engineering teams, and a pragmatic approach to solving complex problems at scale.

Requirements

Key Responsibilities

  • Lead the design, development, deployment, and maintenance of scalable full-stack applications using Java, Spring Boot, ReactJS, and modern frontend technologies.
  • Architect and develop reliable microservices and user interfaces that support high-volume, mission-critical business applications.
  • Collaborate with product, UX, and engineering stakeholders to translate business requirements and user stories into technical solutions and actionable development plans.
  • Provide technical leadership and mentorship to engineers through code reviews, design discussions, documentation, and knowledge sharing.
  • Drive best practices in software architecture, coding standards, automated testing, agile development, and continuous integration.
  • Design and optimize RESTful APIs, relational database schemas, queries, and distributed system components.
  • Improve system reliability and operational excellence through monitoring, metrics, alerting, observability, and proactive risk management.
  • Participate in production support and on-call rotations, ensuring timely incident resolution and continuous system improvement.
  • Evaluate and implement appropriate technologies, tools, and architectural patterns to improve scalability, performance, and maintainability.
  • Leverage AI-assisted development tools responsibly while adhering to organizational policies and engineering standards.
  • Promote effective communication and collaboration across technical and non-technical teams.

Required Qualifications and Skills

  • 15–18 years of hands-on software engineering experience, with strong expertise in full-stack application development.
  • Proficiency in Java and Spring Boot, including experience with related Spring frameworks, ORM tools, and enterprise application development.
  • Strong frontend development experience with ReactJS or other modern JavaScript frameworks, with the ability to adapt to new technologies as required.
  • Extensive experience designing and developing microservices, RESTful APIs, and distributed systems.
  • Strong knowledge of relational databases such as MySQL and PostgreSQL, including schema design, query optimization, and data modeling.
  • Solid understanding of computer science fundamentals, including data structures, algorithms, object-oriented programming, and design principles.
  • Experience building scalable, resilient, and maintainable software systems.
  • Strong problem-solving, analytical, communication, and stakeholder management skills.
  • Demonstrated ability to provide technical guidance, mentor engineers, and influence engineering decisions.
  • Understanding of system observability, operational metrics, performance monitoring, and production reliability.

Good-to-Have Skills

  • Experience in advertising technology (AdTech) or digital advertising platforms.
  • Familiarity with programmatic advertising, real-time bidding (RTB), and high-throughput advertising systems.
  • Experience with cloud platforms, particularly AWS.
  • Knowledge of DevOps and infrastructure tools such as Terraform, Docker, and Kubernetes.
  • Experience with data streaming and messaging technologies such as Apache Kafka, AWS Kinesis, Amazon SNS, and Amazon SQS.
  • Familiarity with Vue.js, Angular, or other modern frontend frameworks.
  • Experience with CI/CD pipelines, automated deployment, and cloud-native application development.

Education

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Equivalent practical experience and a strong technical background may also be considered.
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