Software Engineer II

Summary

Join Bloomreach's Recommendations team as a Software Development Engineer 2 and contribute to designing, building, and enhancing search personalization, recommendation engines, and SEO. You will implement machine learning-based personalization, develop big data pipelines, collaborate with data scientists, and design core components for new features. This role involves improving the performance of high-traffic APIs and contributing to the core product. Bloomreach offers a remote-first work environment with flexible hours and a strong emphasis on personal development and employee well-being. The company provides various benefits, including professional development budgets, extended parental leave, and a supportive culture.

Requirements

• Bachelor's or Master's degree in Computer Science or related fields
• 3+ years of hands-on experience in Java/Python or another object-oriented language, working with cloud providers (AWS, GCP) and building enterprise software products
• Experience with big data and large-scale data processing technologies (Hadoop, Spark, Kafka)
• Proven track record in developing and maintaining distributed systems at scale in a production environment
• Extensive background in data structures and algorithms with strong software architecture skills
• Familiarity with the machine learning algorithms and tools, and keen interest for staying up-to-date with the latest advancements in search/GenAI/LLM technologies, and related fields

Responsibilities

• Design and implement personalization across search and recommendation widgets using the state of the art models
• Build, maintain, and scale data processing pipelines in an efficient and reliable way
• Partner with the Product team to understand requirements and use cases
• Participate in lean and agile development process in an automation- and monitoring-driven environment, from planning, scoping, estimation all the way to optimization, maintenance, and support
• Steward an extremely high bar of technical excellence for the company to drive innovation in the search and personalization space

Preferred Qualifications

• Experience working with Data Science teams to implement ML models in real-time serving
• Experience with feature engineering, data analysis and model training
• Startup experience in a fast-paced growth company

Benefits

• Flexible working hours
• Remote-first work environment
• Company events
• 5 paid days off to volunteer
• People Development Program
• Resident communication coach
• Leader Development Program
• $1,500 professional education budget annually
• Employee Assistance Program
• Subscription to Calm
• ���DisConnect’ days (one additional day off each quarter)
• Sports, yoga, and meditation opportunities
• Extended parental leave up to 26 calendar weeks for Primary Caregivers
• Restricted Stock Units or Stock Options
• Company performance bonus
• Employee referral bonus of up to $3,000
• Work anniversary rewards