Senior Software Developer

Bloomreach is building the world s premier agentic platform for personalization We re revolutionizing how businesses connect with their customers building and deploying AI agents to personalize the entire customer journey We re taking autonomous search mainstream making product discovery more intuitive and conversational for customers and more profitable for businesses We re making conversational shopping a reality connecting every shopper with tailored guidance and product expertise - available on demand at every touchpoint in their journey We re designing the future of autonomous marketing taking the work out of workflows and reclaiming the creative strategic and customer-first work marketers were always meant to do And we re building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn t only autonomous it s also consistent From retail to financial services hospitality to gaming businesses use Bloomreach to drive higher growth and lasting loyalty We power personalization for more than 1 400 global brands including American Eagle Sonepar and Pandora Bloomreach is solving one of the digital world s most fundamental problems helping people instantly find what they need when they need it We are seeking a Senior Software Engineer to join our Recommendations team responsible for handling and serving thousands of queries on our recommendations system and development of our personalized search system In this role you ll work with a passionate versatile and collaborative team improving system scalability by utilizing cloud technologies building big data spark pipelines training and deploying ML models Additionally you ll have the opportunity to influence and implement architectural solutions that will enable us to achieve our goal of being the world s most trusted digital experience platform Who you are You are curious with a desire to understand how the world works and why our semantic search engine is leading the industry You are happy the work is challenging but you always put a smile on your face You are honest even if it means having to share bad news or disagree with a team member You are motivated and willing to do whatever it takes to honor your commitment and get the job done You are humble always open-minded eager to learn from others and focus on the We instead of I You are team-oriented and find fulfillment working in a highly collaborative team environment with like-minded individuals to drive our business forward Responsibilities Own end-to-end development and operation of recommendations and search personalization data ingestion training evaluation deployment and low-latency serving Design build and optimize Spark-based batch and streaming pipelines for training data feature computation backfills and replays at multi-tenant scale Train fine-tune and productionize ML models for recommendations and re-ranking e g sequential recommenders Integrate real-time user signals clicks add-to-cart conversions into features and ranking balancing freshness with query-triggered re-ranking constraints Develop offline and online evaluation frameworks define metrics and guardrails run A B tests and analyze results RPV CTR ATC conversion with deep-dive segment insights and readouts Optimize performance and cost across the stack Spark tuning resource sizing caching and precomputation and robust fallbacks for cold-start and sparse data Build and maintain backend APIs and services for personalization write clean tested code add observability metrics logs tracing alerts operate services in production including on-call Collaborate with search data science product and infrastructure teams to translate business goals into ranking strategies features and experiments encode business rules and diversity constraints Investigate and resolve production issues end-to-end drive root-cause analyses documentation and preventive improvements mentor peers and contribute to the technical roadmap Qualifications BS MS degree in Computer Science or related fields 4 years of experience building enterprise software applications and systems in a corporate or startup engineering environment using Python 4 years experience working with AWS Experience with training and deploying ML models is must Experience with data analysis and generating insights is must Experience with developing and maintaining distributed systems at scale in a production environment is a must Experience working with search or recommendation domain is must More things you ll like about Bloomreach Culture A great deal of freedom and trust At Bloomreach we don t clock in and out and we have neither corporate rules nor long approval processes This freedom goes hand in hand with responsibility We are interested in results from day one We have defined our and the 10 underlying key behaviors that we strongly believe in We can only succeed if everyone lives these behaviors day to day We ve embedded them in our processes like recruitment onboarding feedback personal development performance review and internal communication We believe in flexible working hours to accommodate your working style We work virtual-first with several Bloomreach Hubs available across three continents We organize company events to experience the global spirit of the company and get excited about what s ahead We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer The elaborates on our stellar 4 4 5 rating The Culture score is even higher at 4 9 5 Personal Development We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company We are continuously developing updating competency maps for select functions Our resident communication coach is available to help navigate work-related communications decision-making challenges Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader The program includes regular comprehensive feedback consultations with a coach and follow-up check-ins Bloomreachers utilize the 1 500 professional education budget on an annual basis to purchase education products books courses certifications etc Well-being The Employee Assistance Program with counselors is available for non-work-related challenges Subscription to Calm - sleep and meditation app We organize DisConnect days where Bloomreachers globally enjoy one additional day off each quarter allowing us to unwind together and focus on activities away from the screen with our loved ones We facilitate sports yoga and meditation opportunities for each other Extended parental leave up to 26 calendar weeks for Primary Caregivers Compensation Restricted Stock Units or Stock Options are granted depending on a team member s role seniority and location Everyone gets to participate in the company s success through the company performance bonus We offer an employee referral bonus of up to 3 000 paid out immediately after the new hire starts We reward celebrate work anniversaries Bloomversaries Subject to employment type Interns are exempt from marked benefits usually for the first 6 months Excited Join us and transform the future of commerce experiences If this position doesn t suit you but you know someone who might be a great fit share it - we will be very grateful Any unsolicited resumes candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees LI-Remote