Senior Software Engineer I

Senior Software Engineer

Remote - Colombia

*ONLY CVs SUBMITTED IN ENGLISH WILL BE CONSIDERED*

The Opportunity:
Anthology offers the largest EdTech ecosystem on a global scale, supporting over 150 million users in 80 countries. Our mission is to provide dynamic, data-informed experiences to the global education community so that learners and educators can achieve their goals.

We believe in the power of a truly diverse and inclusive workforce. As we expand globally, we are committed to making diversity, inclusion, and belonging a foundational part of not only our hiring practices but who we are as a company.

The Analytics and Enterprise Data Services teams bring data together from across Anthology’s extensive product lines into a cloud-based data lake. We deliver products and services for analytics, data science, business intelligence, and reporting.

Primary responsibilities will include:

- Working with the development manager, product manager, and engineering team on projects related to system research, product design, product development, and defect resolution
- Translating business requirements to implement metrics, reports, dashboards, and data visualizations
- Learning quickly and developing creative solutions that encompass performance, reliability, maintainability, and security
- Designing, developing, and maintaining business intelligence solutions and reporting dashboards and views using BI tools, such as AWS QuickSight
- Responding to the unique challenges of delivering and maintaining cloud-based software. This includes minimizing downtime, troubleshooting live production environments, and responding to client-reported issues
- Working with other engineering personnel to ensure consistency among products
- Designing and implementing technology best practices, guidelines, and repeatable processes
- Through continued iteration of existing development processes, ensuring that we’re leading by example, fixing things that aren’t working, and always improving our expectations of ourselves and others

Required skills/qualifications:

- At least 5 years of relevant experience in analytics or software development
- Fluency in written and spoken English at CEF B2 level or above
- Knowledge of professional engineering best practices for the full Agile SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience with version control and source code management Systems like GIT, Stash, or similar
- Experience with Java, JavaScript frameworks, and scripting languages (such as Python, Ruby, or Groovy)
- Experience with Business Intelligence and Data Warehousing
- Knowledge of logical and physical data modeling concepts (relational and dimensional)
- Ability to work with Design, Architecture, PM, PO, and other team members and stakeholders to understand the breakdown of work and reporting needs
- Experience developing and consuming RESTful web services and knowledge of authentication and access management protocols and products (SAML, OIDC, OAuth)
- Experience creating, tuning, and optimizing indexes, stored procedures, DTS/SSIS packages, and SQL jobs

Preferred skills/qualifications:

- BS/BA in Computer Science, Engineering or a relevant field
- Previous experience in the education industry and with e-learning technologies
- Experience building Analytics dashboards and proficiency in data visualizations
- Ability to proactively identify, troubleshoot, and resolve database issues
- Experience with big data: extraction, processing, filtering, and presenting large data quantities via AWS technologies, SQL, Python, and data pipelines
- Knowledge of the AWS tool suite (Quicksight, Kinesis, API Gateway, Lambda, etc.) and relevance for each

This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.

Anthology is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.