Full Stack Engineer
Senior Software Engineer, Backend and Platform
About This Role
The Senior Software Engineer, Backend and Platform will help build Prudential Japan's next
generation Product Engineering capabilities as part of the Japan Technology Transformation
initiative.
This role is responsible for designing, building, and operating digital products and platforms that
support customer journeys, sales journeys, policy administration experiences, and business
workflows across Prudential Japan's end-to-end journey of life insurance value streams.
As part of a newly established Product Engineering organization, this role offers the opportunity
not only to build products, but also to help establish engineering practices, standards, and ways
of working that will shape the future of technology delivery at Prudential Japan.
What you could work on
We allocate after offer, across multiple domains. Policy administration, where contract truth must
survive multiple years and a change to old insurance product must never silently break tens of
thousands of live contracts. Customer communications, where essential customer
communications reach every customer in one immovable window. CRM, where customer and
agent information and interactions are managed consistently across products and channels.
New business and policy issuance, where an application must move accurately from initial
submission through underwriting and approval to a legally effective insurance contract.
Integration, where the industry wide used services, banking and government systems meet our
systems. And the compliance records, which are essential to maintain as an insurer.
Key Responsibilities
Design, build and continuously improve backend services and data models for systems of
record, where a change can alter an obligation the company owes a customer rather than only
an applicationʼs behavior.
Create, maintain and enhance software capabilities and functionality across modern
technology stacks, integrations and the full software lifecycle.
Own integrations with external parties you do not control, including government and banking
systems, shared industry data services and print and delivery vendors.
Build and operate scheduled and batch processing that must finish inside a fixed window,
including month end and year end cycles.
Build and extend the audit and evidence layer: what was shown, agreed, triggered and paid,
retrievable for years.
Work closely with systems engineers, architects and business partners to ensure the quality
and reliability of the product, and to deliver on business objectives.
Work alongside long-lived legacy systems and decide, case by case, what to wrap, what to
replace and what to leave alone.
Engage with broader product considerations and planning across ideation, design,
development, testing, business engagement and team leadership.
Carry on-call for what you own, and run incident reviews that look for causes rather than for
someone to blame.
Qualifications
General
You do not need insurance experience. We will teach the domain.
Five or more years building and operating backend systems in production, including
ownership of something that mattered when it broke.
Strong data modelling, especially temporal and bitemporal data modelling.
Transactional integrity, idempotency and reconciliation as daily practice rather than interview
vocabulary.
Integrating with external organizations where the interface is theirs and will not change for
you.
Real-time as well as batch processing at scale, with a working understanding of time windows
and dependency chains.
Any high consequence or regulated domain is an advantage: payments, healthcare, logistics,
energy, safety-critical systems.
Degree in relevant field or equivalent practical experience.
Technical
We run on AWS. We are not dogmatic about languages or frameworks and we do not screen
on keyword matches: we care that you have gone deep in at least one stack and can pick up
another. Depth in one column beats a shallow tick in all of them.
AI assisted development: Claude, Codex, Copilot or Cursor. Knowing how to build Agent skills
is an advantage.
Languages: Java or Kotlin, Go, Python or TypeScript on Node.
Data: PostgreSQL or Aurora as the default. Experience with schema evolution on live data
matters more than any particular engine.
AWS Ecosystem
Integration: REST and event-driven patterns, plus the older shapes you will meet at the
boundary, including scheduled file exchange and message queues.
Infrastructure as code and CI/CD: Terraform or CDK or Ansible, with pipelines you have
owned rather than inherited.
Observability: Structured logging, metrics and tracing. CloudWatch, OpenTelemetry,
Dynatrace, or Datadog
Nice to have: Kafka or Kinesis, and any experience bridging a mainframe or vendor package
to modern services.
Language
English: Fluent to Native
Japanese: Working level. JLPT N2 or native is an advantage.
Culture and Leadership Expectations
- Act as One Prudential for customers by building integrated products across business
domains
- Drive Change by modernizing legacy systems and improving engineering practices
- Be Highly Accountable for code quality, delivery, reliability, and production outcomes
- Engage with Candor through open collaboration and constructive technical discussion
- Demonstrate core values: Worthy of Trust, Customer Focused, Respect for Each Other, and
Winning with Integrit