Senior Software Engineer, I

70%

You understand and will confidently address the challenges associated with delivering flexible, reliable, and highly performant services to drive engagement across our sites. You are capable of being hands-on with code and development tools. You will:

• Implement new services, APIs, and operational monitoring functions that are scalable and reliable.
• Work with other technology members to collaborate on overall infrastructure, best practices, and processes.
• Own production services, investigate and resolve issues, bottlenecks, and inefficiencies.
• Create and update thorough and readable living documentation for services.
• Develop APIs that allow brand content to be processed, enhanced, and made available to customers through multiple channels.
• Collaborate closely with other developers, designers, and product managers to define innovative ways to improve services.
• Work closely with developers creating internal tools to monitor and inform stakeholders of data being processed by our systems.

30%

Contribute to best practices for coding conventions and standards. Ensure that code quality is high, and work with developers to improve if it is not.

• Demonstrate passion for code quality and lead by example to produce high quality services and applications that meet timeline expectations to deliver value to the business.
• Follow technologies relevant to the application and its domain and advocate for their use as appropriate.

You have a fundamental knowledge of modern development techniques and trends, and you are not done learning. You have:

• 6+ years of professional experience building and interacting with backend applications.
• 5+ years of experience building software and services as a backend or full-stack developer using object oriented languages.
• TypeScript, NodeJS and Python experience is required.
• Experience with ElasticSearch is required.
• Experience with event-driven architecture using Kafka is required.
• Proficiency in Bitbucket, Git and other version control systems.
• Knowledge with telemetry, logging and observability [Grafana, Kibana, Splunk].
• Familiarity with cloud platforms – AWS, GCP and code deployment knowledge of containerization using Docker and Kubernetes.
• Knowledge of serving models in production environments using MLOps workflows such as KubeFlow, MlFlow through containerization (e.g., Docker), including error handling and debugging techniques.
• Experience with designing and implementing data pipelines using tools like Apache Beam, Apache Airflow  to ingest, process, and transform data.
• Familiarity with data preprocessing and feature engineering techniques.
• Familiarity with experiment management systems like Jupyter Notebooks, Apache Spark, to track and reproduce experiments.
• Good understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
• Experience with testing frameworks like Jest, Cypress.
• Expertise in developing and consuming RESTful and GraphQL APIs.
• Experience with API versioning, documentation, and security best practices (e.g, OAuth, JWT).
• Ability to provide constructive feedback during code reviews and refinement sessions.
• The ability to make yourself understood to both technical and non-technical audiences.
• Great analytical and problem-solving skills.
• Curious about new technologies with a drive to pursue change.
• Passionate interests in exploring advanced AI and LLM technologies and how it can help power our components.

Specific Knowledge, Skills, Certifications and Abilities:

Elastic Search, Kafka, Python, Typescript, Node.js, Vector DB