Senior Product Engineer-ROR

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python  & Django

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

UKG is looking to hire a Lead Software Engineer to join our extremely talented Data Science team. As a Lead Software Engineer at UKG, you’ll be embedded on the Data Science team where you can work on the next generation AI Platform. You’ll get to work directly with other Engineers, Software Testers, Business Analysts, Product Managers, and Directors, all of whom make up the team. In this highly collaborative environment, you will have the opportunity to grow as a software engineer, and even help mentor others.

This position requires excellent object-oriented programming skills and knowledge of design patterns. They will be involved in the deployment of our AI Platform/Services solution on the cloud. The job requires you to be able to design, develop, troubleshoot, and debug complex software applications at the enterprise level. We are looking for a software engineer who is passionate about programming and truly enjoys what they do. The ideal candidate for the Python Engineer position is someone who has a can-do attitude and is an innovative thinker.

UKG works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with Business Analysts and Software Testers, as well as work closely with other team members are key components for success in this position.

Primary Responsibilities:

• Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.
• Engage in code reviews and training of team members.
• Support continuous deployment pipeline code.
• Situationally troubleshoot production issues alongside the support team.
• Continually research and recommend product improvements.
• Create and integrate features for our enterprise software solution using the latest Python technologies.
• Write web services, business objects, and other middle-tier framework using Python
• Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.
• Leverage open-source and other technologies and languages outside of the Python platform.
• Develop cutting-edge solutions to maximize the performance, scalability, and distributed processing capabilities of the system.
• Provide troubleshooting and root cause analysis for production issues that are escalated to the engineering team.
• Work with development teams in an agile context as it relates to software development, including Kanban, automated unit testing, test fixtures, and pair programming.

Qualifications

• 5-8 years experience as a Python developer on enterprise projects using Python, Flask, FastAPI, Django, PyTest, Celery and other Python frameworks.
• Software development experience including: object-oriented programming, concurrency programming, modern design patterns, RESTful service implementation, micro-service architecture, test-driven development, and acceptance testing.
• Familiarity with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.
• Proficiency with Git as a version control system
• Experience with Docker and Kubernetes
• Experience with relational SQL and NoSQL databases, including MongoDB and MSSQL.
• Experience with object-oriented languages: Python, Java, Scala, C#, etc.
• Experience with testing tools such as PyTest, Wiremock, xUnit, mocking frameworks, etc.
• Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI
• Excellent problem solving and communication skills.

What You'll Do


You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:

• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable data modeling, data queries and API development for both back-end and front-end data interfaces.
• You will support client specific data processing needs using SQL and Python/Pyspark
• You will integrate our product with other data products through Django APIs
• You will partner with other team members in understanding the functional / non-functional business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions

Who you are


• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in data queries, data processing and data modeling
• Excellent ANSI SQL skills to handle complex queries
• Excellent Python and Django programming skills.
• Strong knowledge and experience in modern and distributed data stack components such as the Spark, Hive, Airflow, Kubernetes, Docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Familiarity with ML models is highly preferred
• Experience with Big Data processing and performance optimization
• Should know how to write modular, optimized and documented code.
• Should have good knowledge around error handling.
• Experience in version control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.

Good to have some exposure to

• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams

What You'll Love About Us – Do ask us about these!

• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors

Fulfil’s software engineers develop the next-generation technologies that change how millions of customer orders are fulfilled by merchants. Our products need to handle information at massive scale. We're looking for engineers who bring fresh ideas from all areas into our technology.

As a senior software engineer, you will work on our python based ORM and applications that scales to handle millions of transactions every hour. This is mission critical software and your primary focus will be building robust and scalable solutions that are easy to maintain.

In this role, you will be collaborating closely with the rest of the team working on different layers of infrastructure in an international environment. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product are important.

What You’ll Do:

• Own definition and implementation of API interfaces (REST and GraphQL). We take pride in our 100% open API with over 600 endpoints.
• Implement simple solutions to complex business logic that enables our merchants to manage financials, orders and shipments across millions of transactions.
• Build reusable components and packages for future use.
• Translate specs and user stories into reviewable, test covered patches.
• Peer review code and refactor existing code.
• Integrate with our eCommerce partners (Shopify, BigCommerce, Amazon), shipping partners (UPS, USPS, FedEx, DHL) and EDI.
• Manage Kubernetes and Docker based global deployment of our infrastructure.

Requirements We’re Looking for Someone With:

• Experience working with ORMs like SQLAlchemy or Django (2-3 years)
• Experience with SQL and databases (Postgres preferred)
• Experience in developing large server side applications and microservices
• Ability to create high quality code
• Experience with python testing tools (pytest) and test automation
• Familiarity with code versioning tools like GIT
• Strong sense of ownership and leadership quality
• Experienced in the tools of our web stack- Python, Celery, Postgres, Redis, RabbitMQ

Nice to Haves:

• Prior experience at a growth stage Internet/Software company
• Experience with ReactJS, Google Cloud, Heroku
• Cloud deployment and scaling experience

• 3 years experience working on Python, Django and DRF (must have projects)
• Back-end Development, Third Party SDK Implementation, CI/CD
• Pipeline with AWS, Containerization of Server, Caching, Micro-service Implementation
• Architecture design of the web applications.
• Implementation of a robust set of services and APIs to power the web application.
• Building reusable code and libraries for future use.
• Optimization of the application for maximum speed and scalability.
• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications.
• Integration of user-facing elements developed by front-end developers with server-side logic.
• Implementation of security and data protection.
• Translation of UI/UX wireframes to visual elements