Senior Python Engineer in UKEESS Software House

The UKEESS Software House team is currently looking for a Senior Python Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office). 

About the Customer and the Project:

Our customer is the world’s largest DNA network from the USA. This presents a unique opportunity to work with more than 30 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

As part of the Data Science Engineering Team, you will be responsible for deploying and operating data science models designed to extract data from images. This includes image classification, image segmentation, handwriting recognition, and natural language processing. The team accepts the models from data scientists as Python applications using the SageMaker Model Registry. Additionally, we build and maintain web applications for model output visualization.   

Responsibilities will include:

• Maintaining infrastructures and environments of all types, from dev to production

• Work with Data Scientists, Data Engineers, Software Engineers, and Product teams

• Work on and guide microservice REST API design

• Write key algorithms to maximize scalability and reliability

• Focus on and working with throughput, scale, cost, and error handling

• Write code and unit tests

• Conduct code reviews

• Diagnose complex problems involving multiple systems and technologies

• Security monitoring and administration

• Identify opportunities to adopt innovative technologies

Requirements:

• 6+ years of commercial experience with Python

• 3+ years of commercial experience with AWS (SQS, SNS, S3, and Lambdas)

• 2+ years of commercial experience with customer-facing operations, including monitoring, cost analysis, and troubleshooting production issues

• Commercial experience with relational database 

• English: Upper-intermediate at least (both spoken and written)

It will be a plus:

• Experience in deploying and managing ML models

• Ability to design and implement cloud solutions and to build MLOps pipelines on AWS

• Bachelor's degree in a related field or equivalent experience

• Terraform and Data Science experience 

What do we offer our new colleague?

• Competitive compensation (based on market data but also depending on the technical level of the candidate)

• Flexible work schedule

• 3 health packages to choose

• Annual paid vacation and state holiday celebration

• Free English classes (online)

• Individual approach to professional growth

• Lack of bureaucracy and micromanagement

• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)

• Foreign business trips (after the war)

• On-site parking lot and charge station for Electric Cars

• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

If you have a passion for solving challenging problems; building scalable, robust systems; love working with the latest technologies in a fast-paced, flexible environment; and are excited at the prospect of having a significant impact on products which has more than 3 million paying subscribers, then we want to talk to you! ;-)

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< span style="font-weight: 400; font-style: normal; text-decoration: none">UKEESS Software House is looking for Senior Python Engineerfull-time (either in the office in Lviv, or with the possibility of remote cooperation in Ukraine).

About the customer and the project:

This is one of the world's largest resources on family history and DNA. With the help of this service and DNA analysis, for example, you can determine ethnic origin, susceptibility to allergies, various diseases, features of body structure, etc. (now it is you can also build your family tree on the basis of more than 30 billion digitized (in the USA) records from the 18th century (+ this number is constantly growing). In general, our customer is considered the largest in its space :)

About the team:

As part of the Data Science Engineering Team, you will be responsible for the deployment and operation of data science models designed to extract data from images. This includes image classification and segmentation, handwriting recognition and natural language processing. Our team accepts models by data scientists as Python programs using the SageMaker model registry.In addition, we create and maintain web applications for visualizing model results.

Duties:

• Support of infrastructures and environments of all types, from development to production

• Collaboration with data scientists, data engineers, software engineers and product teams

• REST API microservice development and support

• Writing key algorithms to maximize scalability and reliability

• Working with project throughput, scaling, cost, and error handling

• Writing code and unit tests

• Conducting code review of pool requests

• Diagnosis of complex problems involving several systems and technologies

• Security Monitoring and Administration

• Determining the possibilities of implementing innovative technologies

Required experience and skills:

• 6+ years of commercial Python experience

• 3+ years of commercial experience with AWS (SQS, SNS, S3, and Lambdas)

• 2+ years of commercial experience working with clients, including monitoring, cost analysis and troubleshooting on the production floor

• English: above average at least (spoken and written)

The advantage will be:

• Experience deploying and managing ML models

• Ability to design and implement cloud solutions and build MLOps pipelines on AWS

• Bachelor's degree in relevant field or equivalent experience

• Experience with Terraform and Data Science

What do we offer a new colleague?

• Competitive compensation (based on market data, but also depends from the technical level of the candidate)

• Annual paid leave

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Free English lessons (online)

• Health insurance or two alternatives to choose from

• Individual plans for professional and personal development

• Absence of bureaucracy and micro-management

• Modern comfortable office (barbecue area, kitchen, lounge, etc.)

• Foreign business trips (after the war)

• Parking on the territory and a charging station for electric cars

• Corporate gifts, holidays and entertainment

• Sports activities: table tennis, football, workout

Send us your resume and let's get to know each other! ;)