New

Senior Software Developer

India
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 5 values 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 Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page 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 Ivo Večeřa 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.

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