Job Description
Key Responsibilities:
Solution Architecture & Engineering
Design and implement
enterprise integrations on Azure
(API-first, event-driven), ensuring performance, resilience, and cost efficiency.
Build and maintain
workflow-based systems
(Logic Apps, Functions/Durable Functions) to streamline complex processes.
Deliver
proofs of concept
to validate emerging technologies and automation opportunities; transition PoCs into production-grade services.
Embed
identity, access, key management, and data protection
(Entra ID/Managed Identity, Key Vault, RBAC, Customer-Managed Keys) across all designs.
Produce
clear technical documentation
(HLD/LLD, runbooks, operational guidelines).
Intelligent Automation & Applied AI
Integrate
AI-enabled capabilities
(e.g., Azure OpenAI/Cognitive Services) into automations and decision-support workflows.
Identify automation potential by analysing
process flows and data patterns
; develop
data-enabled solutions
that enhance efficiency and accuracy.
Partner with product, platform, and data teams to bring
governed, secure
solutions from prototype to production.
Governance, Risk & Compliance
Apply structured
risk management
and promote
responsible technology
adoption (e.g., model guardrails, prompt safety, data minimization).
Align solutions to
enterprise security, compliance, and audit
requirements (e.g., SOC 2 controls, GDPR principles, traceability & evidence).
Ensure
observability/traceability
(App Insights/Log Analytics, KQL dashboards),
operational resilience
and disaster recovery patterns.
Cross-Functional Collaboration
Translate business/operational requirements into
sustainable technical solutions
with clear SLIs/SLOs.
Work closely with
architecture, platform, and data
teams to ensure interoperability, scalability, and cost control.
Drive
continuous improvement and modernization
of integration patterns, landing zones, and engineering practices.
Candidate Profile (Must-Haves):
10+ years
in solution engineering/enterprise system delivery, incl.
hands-on Azure integration
in the
last 3–5 years
.
Azure Integration Services:
API Management (APIM)
,
Azure Functions
(incl. Durable Functions),
Azure Logic Apps
,
Service Bus
,
Event Grid
—used
productively in projects
.
DevOps & IaC:
Azure DevOps Pipelines (CI/CD)
plus
Infrastructure as Code
(
Terraform
or
Bicep
or
ARM templates
).
Secure-by-Design:
Entra ID/Managed Identity,
Key Vault
, RBAC/scopes, secrets rotation, data protection (at rest & in transit).
Proficiency in
backend & API architectures
(
C#/.NET
strongly preferred; Python a plus), testing & quality practices.
Strong analytical/problem-solving skills, system thinking, and
excellent communication
with technical & business stakeholders.
Degree in
Computer Science, Information Systems
or equivalent;
continuous learning mindset
.
Nice-to-Haves
Applied AI
in production (e.g.,
Azure OpenAI
, Cognitive Services,
RAG/guardrails/evals
, prompt safety).
Event-driven
reference architectures,
event sourcing
, and
Kubernetes/AKS
.
Observability
(App Insights, Log Analytics, KQL),
cost governance
(tags, budgets, FinOps awareness).
Experience in
regulated environments
(audit evidence, runbooks, change control).
