Publicada em 06 de ago. de 2026 · Verificamos em 11 de ago. de 2026 que ainda está no ar
Here’s
a summary of the role:
This is a
principal-level role
for someone who has already
operated
at Staff or Principal Engineer level in a sizeable engineering organization and can point to specific platform decisions — in production today — that they own.
You'll
set the technical direction for our AI-enabled platform : architecting secure, scalable, serverless systems on AWS, defining the patterns and governance practices that multiple teams adopt, and guiding where AI genuinely adds value across the stack.
Your leverage comes from the systems, architectures, and standards you put in place — not from individual output.
You'll
mentor senior engineers , lead org-wide design decisions, and be the person other technical leaders turn to when the hard calls need to be made.
You'll
still write code, but
that's
not where your impact is measured.
If
you've
led complex platform or AI initiatives
at scale, have strong opinions about AI governance in production systems, and want the scope to shape an entire platform's
future,
this is that role.
Here’s
a breakdown of what
you’ll
do (not all of it, just the important stuff):
Shape engineering strategy with broad organizational impact —
you'll
influence long-term architectural direction across multiple teams and products, not just within your own squad.
Drive platform evolution by
identifying
cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern serverless and microservice patterns.
Lead architectural discussions and design reviews where the stakes are real — making clear trade-offs around performance, security, reliability, and maintainability, and getting alignment across teams with competing priorities.
Own AI architectural decisions end-to-end: design AI-enabled systems with built-in governance, monitoring, and regulatory readiness baked in from the start, not retrofitted. Define where AI adds genuine value and where it
doesn't.
Act as the organization's AI thought leader — educate engineering teams on model
behavior, agentic systems, and responsible AI practices, and raise the overall maturity of how we design and deploy AI.
Mentor and stretch senior and staff engineers, building technical leadership depth across the organisation and holding a high bar for engineering standards.
These
are the essentials
you’ll
need to get an interview:
Principal-level
track record
at scale.
10+ years of software engineering experience , including at least 3
years'
operating
at Staff or Principal Engineer level in an
organization
of 100+ engineers.
You've
led large, complex platform or AI initiatives where you were the decision-maker, not a contributor.
Deep, opinionated
AWS platform
expertise .
You've
designed multi-account AWS architectures and made the call on when serverless is the wrong choice. You work fluently with Infrastructure as Code — Terraform or CDK preferred — and have strong views on observability, resilience, and security that
you've
translated into org-wide patterns.
Production AI systems experience.
You've
shipped AI-enabled systems — RAG pipelines, agentic frameworks,
LLM
orchestration, or similar — into production and can discuss the architectural decisions, failure modes, and trade-offs involved. "Understanding AI concepts" is not enough; we need someone who has built and run these systems.
AI governance in practice .
You've
defined and implemented AI governance in real production environments — bias and privacy checks in pipelines, audit-ready monitoring, AI usage policies — not just read about it. This is essential, not a bonus.
API
design and
backend platform delivery .
Proven
track record
designing and shipping RESTful APIs and backend platform components using Node.js/TypeScript. You understand frontend concerns well enough to set API contracts that serve product teams effectively, even if
you're
not writing React day-to-day.
Org-level communication and influence.
You can align stakeholders on complex technical decisions, run architecture forums, and mentor other senior technical leaders.
You're
as comfortable in a board-level conversation as you are in a design review.
It would be great if you had these to, but
we’ll
support you if you
don’t:
Experience building platform components or SDKs that multiple product teams depend on, including the documentation and
enablement
work that makes them
adoptable .
Involvement in architecture forums, tech councils, or similar bodies that define org-wide standards — either running them or playing a leading role.
Experience optimising cost and performance for data and AI-heavy workloads at scale, including capacity planning and infrastructure tuning.
Leadership of major modernisation efforts — legacy migration to serverless, multi-region architecture, or platform consolidation across product lines.
A public technical presence — conference talks,
open-source
contributions, published writing — that
demonstrates
thought leadership beyond your current organisation.
#LI-Hybrid
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater re
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