Principal Engineer

EDUCATION & EXPERIENCE :

- A professional degree in Computer Science from a reputable institution, backed by a consistent academic record.

- A knack for problem-solving, data structures, and algorithms.

- Proficiency in ElasticSearch.

- 6+ years of hands-on development experience, primarily in building products for large enterprises.

- Exceptional communication skills.

- Mastery in Java programming; familiarity with Python is a plus.- Experience with Spring Boot.

- Practical knowledge of one or more cloud-based technologies (e.g., ElasticSearch, Storm, Hazelcast, MongoDB, Ceph, Kafka) is highly desirable.

- Expertise in building concurrent and/or parallelized, highly performant scalable applications.

- A track record of identifying and addressing complex issues in scalable deployments.

- Exposure to Service-Oriented Architecture (SOA) and Test-Driven Development (TDD) is an added advantage.

ROLES & RESPONSIBILITIES :

- Dive deep into technical aspects (Analysis, Design & Implementation) as required.

- Take complete ownership of features within the product.

- Engage in debates and detailed discussions about functional and non-functional requirements with our Product Management team.

- Collaborate with the team to design solutions, seeking stakeholder input before implementation.

- Create essential artifacts such as functional specifications and detailed designs for your assigned features.

- Implement intricate features with an unwavering commitment to quality, following the Test- Driven Development (TDD) process.

- Maintain open lines of communication, promptly reporting risks and progress to your supervising manager.

- Share your expertise and mentor team members.

- Provide support by troubleshooting and creating Root Cause Analysis (RCA) for production issues, subsequently working on short-term and long-term solutions.

• Writing efficient, reusable, testable, and scalable code
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
• Integration of user-oriented elements into different applications, data storage solutions
• Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
• Designing and implementing – High availability and low latency applications, data protection and security features
• Performance tuning and automation of application
• Working with Python libraries like Pandas, NumPy, etc.
• Creating predictive models for AI and ML-based features
• Keeping abreast with the latest technology and trends
• Fine-tune and develop AI/ML-based algorithms based on results

Good proficiency in,

• Python frameworks like Django, etc.
• Web frameworks and RESTful APIs
• Core Python fundamentals and programming
• Code packaging, release, and deployment
• Database knowledge
• Circles, conditional and control statements
• Object-relational mapping
• Code versioning tools like Git, Bitbucket

Fundamental understanding of,

• Front-end technologies like JS, CSS3 and HTML5
• AI, ML, Deep Learning, Version Control, Neural networking
• Data visualization, statistics, data analytics
• Design principles that are executable for a scalable app
• Creating predictive models
• Libraries like Tensorflow, Scikit-learn, etc
• Multi-process architecture
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system

Responsibilities:

• Your primary responsibility as a senior backend engineer will be to architect and develop a scalable and robust micro-services backend with strong Java, Spring(Boot), SQL, AWS/GCP.
• Experience being part of a software development team in an Agile/Lean/Continuous Delivery environment
• Be a key performer in a high-performance product engineering team

Qualifications:

• 2 to 4 years of overall IT experience. Most of this experience in Java (Core Java, Spring boot, Java collections, Java Multithreading)
• Should have experience designing database schemas - SQL and NoSQL.
• Exposure to frameworks like Spring, Hibernate, Play would be a plus
• Experience with microservices architecture would be beneficial.
• Working knowledge of any public cloud (AWS, GCP or Azure)
• Broad understanding and experience of real-time analytics, NoSQL data stores, data modeling and data management, analytical tools, languages, or libraries
• Knowledge of container tech like Docker, Kubernetes would be a plus.
• Bachelor's Degree in Computer Science or Engineering.

Intro

We are looking for an experienced Senior Software Engineer to join our team and drive the technology growth of our pay later platform. At Rely, we want passionate and talented individuals that want a challenge building the next generation payment products for Millennials across Asia. Together we will build the best products using amazing technology.

What will you do

• Design and implement business critical, high performance large scale services.
• Translate business requirements into scalable and extensible design.
• Coordinate with cross functional teams (Data, UX, QA etc.) on planning and execution.
• Continuously improve code quality, product execution and customer delight.
• Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies.
• Building and managing automated build/test/deployment environments.
• Lead team members on functional and nonfunctional requirements and spread goals across the team.
  
  

What will you need

• 3+ years of hands-on experience with python and a backend framework (ideally django)
• 1+ years Hands-on experience working with Javascript and JS frameworks (Angular, React)
• Hands-on experience in designing, developing, testing and deploying applications large scale applications in any language or stack
• Experience working with high scale distributed systems.
• Practical knowledge of scalable software design.
• Good working knowledge of AWS
• Proficient with APIs, web protocols, OAuth, git.
• Ability to understand and implement Continuous Integration and Continuous Delivery.
• Well versed with Lean methodologies, TDD and Test Engineering and Automation.
• Ability to design and implement low latency RESTful services.
• Willingness to learn new languages and methodologies.

What would be a bonus

• Experience in production environments with large data sets
• Experience in scaling systems to millions of users.
• Work experience in a fast-growth startup
• Experience in DevOps tools but not limited to Docker, Kubernetes
• Experience in Gunicorn and Nginx