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Weekday AI

Proactive software engineer recruitment via referrals

Java Backend Specialist

Backend EngineeringConfirmed live in the last 24 hours
Full-time₹1.5M - ₹3.5M

About the Job

Requirements

  • At least 8 years of professional experience in Java development, backend engineering, software architecture, or technical leadership.
  • Strong hands-on expertise in Core Java, including Java 8, Java 11, and Java 17 or later.
  • Deep understanding of concurrency, multithreading, synchronization, Executors, CompletableFuture, locks, and concurrent collections.
  • Strong knowledge of JVM internals, memory management, garbage collection, profiling, and performance optimisation.
  • Extensive experience with Spring Boot, the Spring ecosystem, microservices, and REST APIs.
  • Strong understanding of event-driven architecture and messaging technologies such as Kafka or RabbitMQ.
  • Experience with SQL and NoSQL databases, data modelling, query optimisation, and scalable data access.
  • Strong understanding of distributed systems, scalability, high availability, fault tolerance, security, and resiliency.
  • Hands-on experience with AWS, Azure, or GCP, along with Docker and Kubernetes.
  • Strong knowledge of Java collections and internals, including HashMap, ConcurrentHashMap, HashSet, equals(), and hashCode().
  • Strong understanding of SOLID principles, design patterns, clean code, and software engineering best practices.
  • Ability to analyse complex systems, identify bottlenecks, and make effective architecture and technology decisions.
  • Proven experience leading technical discussions, design reviews, code reviews, and engineering initiatives.
  • Strong mentoring and team leadership capabilities.
  • Ability to explain complex technical concepts to technical and non-technical stakeholders.
  • Ability to independently drive solutions from requirements through design, implementation, troubleshooting, and delivery.

Responsibilities

  • Design, develop, and deliver scalable enterprise applications using Core Java, Java 8/11/17+, and Spring Boot.
  • Design and implement robust microservices architectures with appropriate service boundaries and communication patterns.
  • Develop secure and scalable REST APIs and event-driven solutions using Kafka, RabbitMQ, or similar messaging technologies.
  • Design efficient data models and work with SQL and NoSQL databases based on application requirements.
  • Architect cloud-native solutions using AWS, Azure, or GCP, along with Docker and Kubernetes.
  • Apply concurrency, multithreading, asynchronous processing, caching, messaging, and resiliency patterns to build high-performance systems.
  • Analyse and optimise application performance, including JVM memory, garbage collection, CPU utilisation, and resource consumption.
  • Identify and resolve memory leaks, performance bottlenecks, race conditions, deadlocks, and other complex production issues.
  • Evaluate algorithms and data structures with a strong understanding of time and space complexity.
  • Apply SOLID principles, clean-code practices, and design patterns such as Factory, Strategy, Singleton, and Observer.
  • Lead technical discussions, architecture reviews, design sessions, and engineering decision-making.
  • Conduct code reviews and establish development standards, engineering practices, and quality guidelines.
  • Mentor and guide developers to help teams improve technical capabilities and problem-solving skills.
  • Collaborate with architects, product owners, business stakeholders, and cross-functional teams to define effective technical solutions.
  • Drive resolution of complex technical and production issues while balancing scalability, reliability, security, cost, and maintainability.
  • Contribute to technology evaluations and make architecture decisions based on technical and business trade-offs.

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size
201-500
Company stage
Seed
Total funding
$2.3M
Headquarters
Bengaluru, India
Founded
2021

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