Workera is a fast-growing, Series B Silicon Valley start-up redefining how enterprises understand, develop, and mobilize talent. Workera’s skills intelligence platform empowers leaders to make better, more informed talent development decisions. Utilizing computational psychometrics and deep learning, Workera delivers best-in-class computer adaptive assessments with hyper-personalized learning plans to companies across all industries. Global organizations, including Samsung, Siemens Energy, and the US Air Force, use the platform to intelligently invest in and support their talent. 

Our founder is Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people and our Chairman is Dr. Andrew Ng, co-founder of Coursera (NYSE: COUR), CEO of DeepLearning.AI, and founding lead of the Google Brain project.

About The Role

We are in search of a highly skilled Senior Infrastructure Engineer to enhance our technical platform team. You will play a pivotal role in crafting, optimizing, and maintaining the robust infrastructure that underpins our cutting-edge projects. If you thrive on challenges and are adept at orchestrating complex technology ecosystems, read on to explore this exciting opportunity.

? Here’s what you’ll do:

• Architect, deploy, and manage advanced infrastructure solutions, with a strong emphasis on AWS services, Docker containerization, and PostgreSQL (RDS) as the primary datastore.
• Collaborate closely with cross-functional teams to understand technology requirements and translate them into reliable and scalable infrastructure.
• Ensure the security, stability, and performance of our infrastructure components, employing industry best practices and monitoring tools.
• Contribute to the automation of deployment processes, scaling mechanisms, and performance monitoring for continuous improvement.
• Create and manage Terraform and Python scripts for provisioning and orchestrating infrastructure resources, streamlining deployment and scaling processes.
• Collaborate closely with the Data Platform team to identify opportunities for Metabase improvements, contributing your technical expertise to enhance data visualization and analysis capabilities.
• Provide technical guidance and mentorship for less experienced engineers, fostering a culture of learning and innovation.

⚒️ We hope you have:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).
• Extensive hands-on experience with AWS services, including but not limited to ECS, EKS, EC2, S3, RDS, and CloudFormation.
• Proficiency in Docker containerization for orchestrating and scaling applications.
• Strong command of PostgreSQL, particularly within an RDS environment.
• Proven expertise in technologies such as Python and Terraform.
• Familiarity with RabbitMQ or other message broker systems.
• Experience in designing, implementing, and managing robust and secure infrastructure solutions.
• A passion for automating processes and implementing Infrastructure as Code (IaC) principles.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Effective communication skills and the ability to collaborate in cross-functional teams.
• Nice to have: Experience with Data Analysis tools like Metabase.

?This role is a good fit if:

• You thrive in a fast-paced, dynamic environment where technology innovation drives your motivation.
• Problem-solving is your second nature, and you excel at creating elegant solutions to intricate challenges.
• Collaborating with diverse teams to achieve common goals energizes you.
• Your technical prowess is matched by your knack for mentorship and knowledge-sharing.
• Staying at the forefront of emerging technologies and trends in infrastructure engineering is both a passion and a priority for you.

?You know you are succeeding in this role if:

• The infrastructure you architect and maintain empowers seamless operations and robust performance.
• Your solutions align with business goals and are recognized for their reliability and scalability.
• You foster a collaborative atmosphere by effectively sharing insights and knowledge.
• Automation and efficiency improvements are a hallmark of your contributions.
• Your mentorship and guidance catalyze the growth and development of less experienced engineers.

The details: remote work & tech stack

We are hiring for a Level 3 (Senior) role. You should be located in the EMEA region. You are free to choose working hours that suit you best, as long as there is a three-hour overlap with your team.

Our platform is hosted on AWS, running on Docker containers, defined in Terraform. We serve our customers where they live, so we are expanding our infrastructure across multiple AWS regions

Our application is built in Elixir on top of the Phoenix web framework. We also use Python for our backend services, with RabbitMQ as the message broker, and PostgreSQL as our database of choice.

Our code lives on GitHub – in fact, GitHub and Slack are where most of the collaboration happens (almost no emails get sent around). We use ShapeUp as our software development methodology.

Workera’s vision is to help humanity measurably close the skills gap. We’re learners, dreamers, and game-changers. Join us to bring everyone the opportunity to achieve their fullest potential!

At Workera we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Workera believes that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.