Staff Java Developer

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3 days ago

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Weekday (YC W21)

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Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

📋 Description

• Lead the design, development, and maintenance of robust, scalable, and high-performance Java applications. • Architect and implement data lake solutions, ensuring data ingestion, storage, and processing pipelines are efficient, secure, and scalable. • Collaborate with data engineering teams to integrate structured and unstructured data into the data lake environment. • Analyze complex business requirements and translate them into technical solutions, focusing on performance optimization and system reliability. • Conduct code reviews, mentor junior and mid-level developers, and enforce coding standards and best practices. • Troubleshoot, debug, and optimize existing Java applications and data pipelines for enhanced performance and maintainability. • Participate in architectural discussions and decision-making to ensure alignment with overall technology strategy and data governance principles. • Evaluate and recommend emerging technologies, frameworks, and tools relevant to Java development and data lake management. • Ensure high standards of security, data privacy, and compliance are maintained across all applications and data solutions.

🎯 Requirements

• 8–12 years of professional experience in software development, with a strong focus on Java and backend systems. • Hands-on experience with data lakes, big data ecosystems, and related technologies (e.g., Hadoop, Spark, AWS S3, Azure Data Lake, or equivalent). • Proficiency in designing, developing, and maintaining RESTful APIs and microservices architectures. • Strong understanding of data modeling, ETL processes, and data ingestion pipelines. • Experience with SQL and NoSQL databases, data warehousing, and distributed data processing frameworks. • Solid grasp of software engineering principles, object-oriented programming, design patterns, and multithreading/concurrency in Java. • Familiarity with cloud platforms (AWS, Azure, or GCP) and associated services for data storage and processing. • Excellent problem-solving, analytical, and communication skills. • Proven ability to mentor and guide teams, manage technical challenges, and drive project delivery.