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Bloomreach

Staff Engineer (Analytics team)

Posted 9 Days Ago
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India
Senior level
India
Senior level
As a Staff Engineer, you will lead the design and scaling of data processing and analytics frameworks, guiding technical direction and mentoring engineers to enhance personalized customer experiences across global brands.
The summary above was generated by AI

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 businesses leverage data to drive personalized and optimized customer experiences. We are seeking a Staff Software Engineer to join our Analytics Team, which focuses on building scalable data infrastructure, developing analytics frameworks, and delivering actionable insights that enhance search, recommendations, and personalization.

As a Staff Engineer, you will play a critical technical leadership role, setting direction for major engineering efforts and guiding teams through design, implementation, and scaling of core data and analytics systems. Your work will directly influence personalization capabilities and the performance of Bloomreach’s intelligent commerce platform.

This is a unique opportunity to own key architectural decisions, mentor engineers, and shape the long-term vision of our analytics platform that powers personalized digital experiences across global brands.

What You'll Do:

  • Architect, design, and scale complex data processing pipelines and analytics systems to support real-time and batch use cases across search and recommendations.
  • Develop high-performance, fault-tolerant infrastructure that enables fast, accurate, and actionable insights across large-scale datasets.
  • Lead cross-functional initiatives by partnering with Product, Data Science, and Engineering teams to deliver innovative, data-driven personalization features.
  • Drive the design and evolution of analytics frameworks to measure and optimize customer engagement, search effectiveness, and recommendation relevance.
  • Guide the integration of machine learning models into production pipelines, ensuring reliable delivery of ML-powered features at scale.
  • Champion engineering best practices around data quality, monitoring, performance optimization, and platform reliability.
  • Mentor engineers, provide architectural guidance, and influence long-term technical strategy across the team.
  • Take ownership of project execution, helping teams navigate ambiguity and ensuring timely, high-quality delivery in an agile environment.

What You'll Need:

  • 8+ years of hands-on experience in software engineering, with deep expertise in data-intensive systems, analytics platforms, or personalization technologies.
  • 5+ years of experience working with big data technologies such as Spark, Hadoop, Map/Reduce, Kafka, and cloud-native data platforms (e.g., AWS, GCP, or Azure).
  • Strong proficiency in Java, Python, Go, or other modern programming languages; deep understanding of distributed systems and software architecture.
  • Proven experience designing, building, and maintaining scalable and reliable data pipelines in production environments.
  • Advanced knowledge of data structures, algorithms, and system design principles.
  • Familiarity with machine learning workflows, including feature engineering and model serving in production.
  • Experience with analytics frameworks, BI tools, and data platforms such as Databricks, Snowflake, BigQuery, and Tableau is a plus.
  • Demonstrated ability to lead through influence, drive complex projects across teams, and foster a culture of technical excellence.
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.

#LI-Remote

Top Skills

AWS
Azure
BigQuery
Databricks
GCP
Go
Hadoop
Java
Kafka
Map/Reduce
Python
Snowflake
Spark
Tableau

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