Backend Developer

Responsibilities:

● Design, develop, and maintain scalable backend services and APIs using Java and Spring

Boot.

● Create and optimize SQL database schemas and queries in PostgreSQL to ensure efficient

data storage and retrieval.

● Implement RESTful APIs to facilitate seamless communication between frontend and backend

components.

● Configure and manage Nginx web servers to efficiently handle incoming requests and improve

application performance.

● Deploy and manage applications on AWS or GCP, ensuring scalability, reliability, and

security.

● Configure and optimize message broker systems using Kafka for real-time data processing

and communication.

● Containerize applications using Docker for easy deployment, scaling, and management.

● Create detailed Low-Level Designs (LLDs) and High-Level Designs (HLDs) to guide the

development and architecture of backend systems.

● Automating CI/CD pipelines and streamlining the software development lifecycle.

● Integrate AI/ML models into backend workflows using Python, PyTorch/TensorFlow, or

third-party AI APIs.

● Leverage AI tools (e.g., OpenAI APIs, Hugging Face, AWS AI services) to build intelligent

features.

● Collaborate closely with frontend developers, product managers, data scientists, and other

stakeholders to deliver high-quality AI-powered solutions.

● Monitor and troubleshoot production systems to ensure optimal performance, reliability, and

uptime.

What We’re Looking For:

● Bachelor’s degree in Computer Science, Engineering, or related field.

● 3-5 years of experience in backend development.

● Proficiency in Java, Spring Boot, PostgreSQL, SQL, and GitActions.

● Strong understanding of RESTful API design principles and best practices.

● Experience with configuring and optimizing Nginx web servers.

● Experience with configuring and optimizing Kafka service.

● Hands-on experience with AWS or GCP.

● Familiarity with Docker containers and container orchestration.

● Ability to create comprehensive Low-Level Designs (LLDs) and High-Level Designs (HLDs)

for backend systems.

● Experience with Python for AI/ML model integration in backend services.

● Familiarity with AI platforms and APIs such as OpenAI, Hugging Face, AWS AI/ML, or GCP

Vertex AI.

● Excellent problem-solving skills and attention to detail.

● Strong communication and collaboration skills, with the ability to work effectively in a team

environment.

Preferred Qualifications:

● Knowledge of microservices architecture and related technologies.

● Experience with cloud-native development and serverless computing.

● Understanding of software development best practices, including Agile methodologies

At Egnyte we develop content governance and collaboration products that are deployed across several large companies such as Yamaha and Red bull. The Egnyte platform supports daily, business critical operations for a million-plus user base interacting with a multi-petabyte content set.

We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.  

We’re looking for Senior Software Engineers and he should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.

• Design and develop scalable cloud components that seamlessly integrates with on-premises systems.
• Challenge and redefine existing architecture or make 10x improvements in performance and scalability.
• Ability to foresee post-deployment design challenges, performance and scale bottlenecks.
• Hire and mentor junior engineers
• Doing code reviews, unit and performance testing of the code.
• Monitor and manage 3000+ nodes using modern DevOps tools and APM solutions.

• Demonstrated success designing and developing complex cloud based solutions
• Solid CS fundamentals with one or more areas of deep knowledge
• Experience with the following technologies: Java, SQL, Linux, Python, Nginx, Haproxy, BigQuery, HBase, New Relic, memcache, Elasticsearch, docker.
• Data driven decision process
• Relies on automation testing instead of manual QA
• Experience in working with Google cloud, AWS or Azure is preferred

Role Responsibilities:

• Development and Maintenance of REST APIs: Lead the creation and management of our RESTful APIs, ensuring top-notch performance and alignment with evolving requirements.
• Proficiency in Coding: We're in search of expertise in Python or equivalent programming languages. Your coding skills will play a pivotal role in delivering high-quality (efficient, reusable, testable, and scalable) solutions.
• Unit and Integration Testing: Apply your expertise to craft unit and integration tests, upholding code quality and reliability.
• Version Control Systems: Proficiency in Distributed Version Control Systems is vital for seamless collaboration during development.
• Elasticsearch Expertise: Having valuable experience with Elasticsearch is a plus, given its critical role in data retrieval and search functionalities.
• NOSQL Database Familiarity: Knowledge of NOSQL databases like Cassandra and MongoDB will be advantageous.
• Message Broker Knowledge: Understanding message brokers, especially RabbitMQ, is beneficial for effective communication within our systems.

Desired Qualifications:

• Experience: 1-2 years of hands-on experience as a Python developer.
• AWS: Proficiency in AWS cloud management and architecting enterprise data solutions.
• Pragmatic Problem-Solving: Recognize when a solution should be streamlined and when creating the right abstraction will lead to long-term efficiency gains.
• Passion for Quality: Demonstrate dedication to producing work of the highest quality and following best practices.
• Agile/Lean Process: Familiarity with Agile/Lean methodologies is a plus, reflecting your adaptability and collaborative spirit.
• Startup Mindset: Embrace the challenges and opportunities of a startup environment, contributing your skills and insights to our growth.
• Debugging and Optimization: Showcase excellent debugging and optimization capabilities to enhance system performance.
• Tech Awareness: Stay updated on emerging technologies and possess a solid understanding of the full product development life cycle.
• UX and Information Architecture: Exhibit excellent knowledge of mobile user experience, information architecture, and industry trends.

• Coding and creating functional web applications and optimizing code for increasing response time and efficiency.
• Coordinating with front-end developers and providing server-side algorithms of user-facing web application elements.
• Analyzing the goals and requirements, handling bugs and errors and providing solutions for the same.
• Interacting with the database for storing data and ensuring that every user has access to what they search.

• Accomplishing the projects and goals within the deadline.
• Managing APIs that are executed across the devices.
• Participating in defining the architecture of the system.

Required skills

• Proven knowledge of front-end technologies, such as Angular, React, HTML, CSS, and JavaScript will be preferred.
• In-depth knowledge of PHP and related frameworks. Knowledge of Ruby, Python, NodeJs, and Java will be an added advantage.
• Good Communication, Analytical, Logical, and Leadership skills.
• Knowledge of front-end technologies such as Angular, React, HTML, CSS, and JavaScript will be preferred.
• Ability to manage a hosting environment along with database administration such as MySQL, Oracle.
• Excellent knowledge of APIs (REST, SOAP) and Web services.
• Capable of scaling applications to handle the load changes.
• Knowledge of version control, such as GIT.
• Knowledge of accessibility and security compliance.

Primary Responsibilities:

• Principal Engineers  are responsible for driving Technology and Engineering Best Practices in their respective teams.
• They should demonstrate a high level of ownership and accountability for their product and software systems.
• They are expected to go above and beyond their role by contributing in tools, processes and practices which bring operational efficiency and are aligned with business goals.
• They are expected to actively participate in development along with team members and create systems and modules which represent a working model of engineering best practices.
• They are expected to participate in code reviews, design reviews, architecture discussions.
• They are responsible for the Engineering metrics/health of their systems including strong alerting and monitoring mechanisms.
• They are expected to lead the adoption of best practices around coding, designing, performance of systems in a team.

Experience or Skills Required:

• B.Tech or Advanced degree in Computer Science with 6-12 years of industry experience in product based companies.
• Proficiency with Basic libraries for machine learning such as scikit-learn and pandas
• Experience in building solutions based on Linear Regression, Logistic Regression, K Nearest neighbor, SVM, Random Forest, Decision Trees.
• Strong experience with at least one of programming languages: Python, Java, Vertx, Golang
• Strong experience in building Server side reusable components based on Microservices or Distributed Architecture.
• Solid coding skills with ability to lead teams in identifying clearing tech debts for large scale code base.
• Good understanding & experience in improving performance of scalable and real time responsive applications.
• Excellent Problem Solving skills and an aptitude to approach problems from first principles and build solutions for those.
• Must have excellent communication (verbal & written), interpersonal, leadership, and problem solving skills.
• Must be able to work independently and enjoy working at a fast paced start-up environment
• Excellent Mentoring skills. Be the technical mentor to your team.
• Must be comfortable working in fuzzy environments where boundaries are not clearly defined.

SpringML is looking to hire a top-notch Data Engineer who is passionate about working with data and using the latest distributed framework to process large datasets. As a Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.

Title-Data Engineers 
Location-Hyderabad
Work Timings-10.00 AM-06.00 PM