Associate Technical Architect - SD - Java/Spring Boot

Posted Yesterday
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Hiring Remotely in USA
Remote
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
Lead per-SYSID assessments and design L2 sequence and data-flow diagrams. Define Kafka topic topology and microservice boundaries, plan Oracle AQ to Confluent Kafka migrations, assess Spring Boot migration paths, design AWS Step Functions for batch orchestration, and produce current vs. future-state architectures.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

  • 21 Google Cloud Partner of the Year awards in the past 10 years
  • 3 AWS AI/ML Partner of the Year awards
  • 3 NVIDIA Partner of the Year awards
  • 3 Snowflake Partner of the Year awards
  • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Role: Technical Architect/Lead - Java

Experience Level: 8+ years

Employment type: Full Time

Location: Remote (USA)

What You Will Do:

  • Lead per-SYSID deep-dive assessments (15 SYSIDs across Sprints 2–3).
  • Design L2 sequence diagrams and data-flow diagrams for all Tier 1 SYSIDs.
  • Define Confluent Kafka topic topology, partition strategy, and message ordering per business process.
  • Design interim-state architectures showing current → target transition per SYSID.
  • Lead Oracle AQ → Confluent Kafka migration patterns.
  • Define microservices boundaries per SYSID (service decomposition).
  • Assess Spring Boot migration path for each Java engine and batch workload.
  • Design Step Functions state machines for MBN/MBC batch orchestration.
  • Create current-state and future-state comparison diagrams.

Basic Qualifications (BQ):

  • 8+ years Java/Spring Boot development and architecture.
  • Production experience with Apache Kafka / Confluent Platform.
  • OpenShift / Kubernetes container orchestration expertise.
  • Amazon EKS, IRSA, Karpenter, managed node groups.
  • Event-driven microservices patterns (CQRS, event sourcing, Saga).
  • Oracle-to-PostgreSQL migration experience.
  • IBM MQ / Oracle AQ messaging systems knowledge.

What is in it for you:

  • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
  • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
  • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
  • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • 8+ years Java/Spring Boot development and architecture
  • Production experience with Apache Kafka / Confluent Platform
  • OpenShift / Kubernetes container orchestration expertise
  • Amazon EKS, IRSA, Karpenter, managed node groups
  • Event-driven microservices patterns (CQRS, event sourcing, Saga)
  • Oracle-to-PostgreSQL migration experience
  • IBM MQ / Oracle AQ messaging systems knowledge

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Wellbeing & Lifestyle Benefits Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
  • Flexible Benefits Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
  • Parental & Family Support Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.

Quantiphi Insights

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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