Senior Software Engineer

Summary

Join Bloomreach's Analytics Team as a Senior Software Engineer and contribute to building scalable data infrastructure, developing analytics frameworks, and delivering actionable insights that enhance search, recommendations, and personalization. You will design, build, and optimize data pipelines, analytics platforms, and ML-driven insights to improve business outcomes for our customers. This role offers the exciting opportunity to contribute to the core analytics capabilities of our platform, applying your expertise to enhance personalization functionalities and redefine the digital shopping experience. You will work with various teams, lead integrations, and mentor junior engineers. Bloomreach offers a flexible, virtual-first work environment with a strong emphasis on employee well-being and professional development.

Requirements

• 6+ years of hands-on experience in software engineering, working with data-intensive applications, analytics platforms, or personalization systems
• Strong expertise in Java, Python, or another object-oriented language, with a deep understanding of software architecture and distributed systems
• Experience with big data technologies such as Hadoop, Spark, Kafka, and data lakes for large-scale processing
• Proven experience designing, implementing, and maintaining scalable and reliable data pipelines in cloud environments (AWS, GCP, or Azure)
• Strong understanding of data structures, algorithms, and system design for building highly available, high-performance systems
• Familiarity with machine learning concepts, feature engineering, and model serving frameworks

Responsibilities

• Design, build, and optimize scalable data processing pipelines to support real-time and batch analytics use cases
• Develop and maintain high-performance data infrastructure, ensuring reliability, accuracy, and efficiency in data workflows
• Partner with Product, Data Science, and Engineering teams to understand requirements and implement data-driven solutions that enhance personalization and recommendations
• Design and implement analytics frameworks for measuring and improving search, recommendations, and customer engagement
• Lead the integration of machine learning models into real-time production systems, collaborating closely with Data Science teams
• Ensure best practices in data engineering, monitoring, and governance to drive high-quality analytics and insights
• Participate in lean and agile development processes, taking ownership of the full software lifecycle from design to deployment and maintenance
• Mentor junior engineers, drive technical excellence, and contribute to architectural decisions that shape the future of analytics at Bloomreach

Preferred Qualifications

• Experience working with analytics frameworks, data visualization, and business intelligence tools like Databricks, Snowflake and Tableau
• Startup experience in a fast-paced growth company

Benefits

• Flexible working hours
• Virtual-first work environment with several Bloomreach Hubs available across three continents
• Company events
• 5 paid days off to volunteer
• People Development Program -- participating in personal development workshops on various topics run by experts from inside the company
• Resident communication coach available to help navigate work-related communications & decision-making challenges
• Leader Development Program for managers
• $1,500 professional education budget annually
• Employee Assistance Program with counselors
• Subscription to Calm - sleep and meditation app
• ���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
• Rewards & celebrations for work anniversaries