Urgent! Level AI - Senior Backend Engineer - Analytics Platform Job Opening In Noida – Now Hiring Level AI
<p>About Us : </p><p><br/></p><p>We are a fast-growing tech company focused on delivering cutting-edge analytics solutions that empower businesses to make data-driven decisions.
Our platform handles vast amounts of data daily, transforming raw information into actionable insights through scalable and efficient backend systems.
Join us as a Senior Backend Engineer to shape the backbone of our analytics infrastructure </p><p>and build systems that impact millions of users worldwide.</p><p><br/></p><p>Job Description : </p><p><br/></p><p>We are looking for an experienced Senior Backend Engineer with a strong passion for analytics and data-driven applications.
You will be responsible for designing, developing, and maintaining scalable backend services that process and analyze large datasets in real-time.
Your work will directly influence our products ability to deliver accurate, timely, and actionable insights.</p><p>As a senior member of the team, you will collaborate closely with data scientists, frontend engineers, and product managers to build robust APIs, optimize data pipelines, and ensure the reliability and scalability of our analytics : </p><p><br/></p><p>- Architect, design, and develop backend services and APIs for large-scale analytics systems.</p><p><br/></p><p>- Build and optimize data ingestion pipelines to efficiently process massive volumes of structured and unstructured data.</p><p><br/></p><p>- Collaborate with data engineering and data science teams to integrate complex analytical models into backend services.</p><p><br/></p><p>- Implement efficient algorithms for data processing, aggregation, and real-time analytics.</p><p><br/></p><p>- Ensure high availability, performance, and scalability of backend systems.</p><p><br/></p><p>- Conduct code reviews, mentor junior engineers, and promote best practices in software development and data engineering.</p><p><br/></p><p>- Troubleshoot production issues and implement long-term fixes to improve system robustness.</p><p><br/></p><p>- Maintain thorough documentation of systems, APIs, and workflows.</p><p><br/></p><p>- Stay updated with the latest trends in backend development, data processing frameworks, and cloud technologies.</p><p><br/></p><p>Required Skills & Qualifications : </p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Engineering, or a related field.</p><p><br/></p><p>- Minimum 5 years of experience in backend development, preferably in analytics or data-intensive applications.</p><p><br/></p><p>- Strong proficiency in backend programming languages such as Java, Python, Scala, or Go.</p><p><br/></p><p>- Deep understanding of database technologies (SQL & NoSQL) including PostgreSQL, MySQL, Cassandra, MongoDB, or similar.</p><p><br/></p><p>- Experience with data processing frameworks such as Apache Spark, Kafka, Flink, or Hadoop.</p><p><br/></p><p>- Expertise in designing and building RESTful APIs and microservices architecture.</p><p><br/></p><p>- Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).</p><p><br/></p><p>- Solid grasp of distributed systems, data structures, algorithms, and performance optimization.</p><p><br/></p><p>- Familiarity with version control systems such as Git.</p><p><br/></p><p>- Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.</p><p><br/></p><p>- Excellent communication skills with the ability to articulate technical concepts clearly.</p><p><br/></p><p>Preferred Skills : </p><p><br/></p><p>- Experience with real-time analytics and stream processing.</p><p><br/></p><p>- Knowledge of machine learning pipelines and integrating ML models in production.</p><p><br/></p><p>- Exposure to monitoring and logging tools like Prometheus, Grafana, ELK stack.</p><p><br/></p><p>- Familiarity with data visualization tools and analytics dashboards.</p><p><br/></p><p>Why Join Us?</p><p><br/></p><p>- Work with a passionate team on exciting challenges involving big data and analytics.</p><p><br/></p><p>- Opportunity to grow your career in a cutting-edge technology environment.</p><p><br/></p><p>- Competitive salary and benefits.</p><p><br/></p><p>- Flexible working hours and remote work options.</p><p><br/></p><p>- Culture of continuous learning, innovation, and collaboration.</p><p><br/></p><p>If youre passionate about backend development and analytics and want to make a tangible impact through data-driven products, wed love to hear from you! Apply Now!</p> (ref:hirist.tech)
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Unlock Your Level AI Potential: Insight & Career Growth Guide
Real-time Level AI Jobs Trends in Noida, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Level AI in Noida, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 120707 jobs in India and 1065 jobs in Noida. This comprehensive analysis highlights market share and opportunities for professionals in Level AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Level AI is currently hiring and seeking a Level AI Senior Backend Engineer Analytics Platform to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Level AI Senior Backend Engineer Analytics Platform Jobs India varies, but the pay scale is rated "Standard" in Noida. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Level AI Senior Backend Engineer Analytics Platform typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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