SDE - SDE I

Responsibilities of a Senior Software Engineer (Backend):

• You will be a guide in the entire application lifecycle including research, design, development, testing (dev owns quality), along with continuous deployment and delivery
• Lead design with a major focus on best user experience, performance, scalability and future expansion
• You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills to bring in continuous improvements and implement best practices.
• You will apply the latest technology thinking from our tech radar, adopt best design practices to solve complex problems and ensure our product is the best in usability.
• You will work directly with the CEO and the cross functional product teams, align on the needs of the products and operations.
• You will analyze business, technology challenges and suggest solutions
• Build an “Awesome” team

This opportunity is for you if,

• You have 4-6 Years of work experience in building highly-interactive applications using Java, Spring MVC, Spring JMS, Spring JDBC, Spring IOC, Spring Boot, MySQL, MiBatis, ReactJS, Java Script, jQuery, AWS, JMS and have knowledge on wide range of web technologies, tools and Frameworks.
• You have experience in working with Restful webservices
• You have strong knowledge and understanding of design patterns and domain driven design
• You understand fundamental design principles behind building scalable, resilient, and maintainable applications 
• You have functional knowledge of inclusive design: accessibility, and related tooling
• You have consumer web development experience for high-traffic, public facing web applications
• You have knack for writing clean, readable, re-usable code
• You have good knowledge on TDD and CI/CD practices.
• You have experience in managing and publishing releases using Git branching and tools like NPM and YARN.
• You have penchant for learning
• You are a great analytical & logical thinker and someone who loves solving problems
• You are passionate, energetic, enthusiastic and a go-getter
• You are “ FUN @ Work “

Responsibilities

- Software Engineering

- Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal

guidance for a market leader in the logistics industry

- Partner with team members on functional and nonfunctional requirements and spread design

philosophy, goals and improve the code quality across the team

- Research new technologies and tools that enable building the next generation of our services

- Provide technology leadership to the team and foster engineering excellence

- Product Delivery

- Partner with product managers to define and execute on the feature roadmap

- Translate business requirements into scalable and extensible design

- Coordinate with various cross functional teams on planning and execution

- Maintaining automated build / test / deployment environments

Qualifications

- Software Engineering

- Should have at least 2 years of hands on experience in designing, developing, testing and deploying

applications on Java, Ruby, Kotlin, Python, Node or Go for large scale applications

- Deep knowledge of one of the programming language they have experience in

- Proficient in OOP and Design Patterns, experience with functional programming would be a plus

- Data modelling experience in Relational Databases

- Ability to design and implement low latency RESTful services

- Product Delivery

- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency

risks.

- Well versed in working with agile methodologies which includes phases such as design, development,

code review, testing and release management

- Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source

code management tools

- Product Maintenance

- Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks

etc

- Continuously refactor applications to ensure high quality design.

• Java – Spring, Hibernate, Data Structures & Algorithms
  • Knowledge on a Database system.
  3+ years of experience in software development.

Preferably BE/B-Tech engineering degree, but not a must.
• 3 years’ experience developing server-side Java – Spring, Hibernate and REST
• Full-SDLC cycle, with large-scale live roll-out participation as a developer.
• Expert understanding of the object-oriented design and programming concepts
• Good understanding of relational and non-relational database/datastores/caches best practices and challenges
• Have a passion for quality and writing clean, solid, readable code that scales and performs well
• Proficient in Git and familiarity with continuous integration
• A team player who values collaboration, innovation, and inclusion
• Comfortable working in an Agile environment
• Strong verbal and written communication skills

Job Role: Java SpringBoot Developer

Job Description:

• Should have expertise in Core Java, Java & J2ee
• Built MVC based Web Application Using JSP/Struts framework
• Hands on experience of OOPS concepts, Hibernate and Spring version 3.x 1, Spring Boot
• Hands on experience of Application Servers like Tomcat and WebLogic.
• Hands on experience of Restful services and Web services
• Experience in deploying Spring boot in Micro services
• Good verbal and written communication
• Excellent team player, ability to work in a global team and follow through on deadlines

Primary Skills:

• Core Java, Java & J2ee
• Spring Boot

• Hands-on Java Engineers, with experience building consumer-facing or enterprise applications using Java stack – Spring, Hibernate, MySQL
• Strong problem solving and analytical skills
• Strong understanding of Object-Oriented Programming concepts and Design patterns.

Do You Know? (Skills good to have)

• Exposure to building service-oriented distributed systems
• In building systems that process big data in a distributed environment, either in real-time streaming or offline batching.
• In messaging systems like Kafka, RabbitMQ, kinesis, etc.
• In real-time computation tools like Storm / Spark or Hadoop-based tools.
• In Data warehousing technologies like Redshift, BigQuery, etc.