Azure Developer

Role summary:

You will work under continuous guidance from the Senior Architect and deliver using Agile methodologies, meeting release, acceptance, product-standard, and security criteria. Acceptance reviews are conducted by the Product Manager/Product Owner in line with Agile practice, while the Senior Architect provides architectural direction and technical quality oversight.

Hiring focus:

Any degree qualification is accepted, but learning ability and Microsoft Azure are mandatory.

A Computer Science background and/or completion of Azure courses/certifications is an advantage.

Huge advantage:

Following are the detailed Job Responsibilities for this position:

AI-assisted engineering & AI-agent development

• Use AI tools, LLMs, and AI agents to draft and refine implementation artifactsconfiguration, code, tests, documentation, and runbooksfor Azure services (subject to review by the Senior Architect and acceptance by the Product Manager/Owner).
• Build and extend existing reusable blueprints for Azure Data Factory (pipelines, datasets, linked services), Logic Apps (workflows, connectors), Azure Data Lake Storage Gen2 (foldering, ACLs), API Management (APIs, products, policies), Event Grid (topics/subscriptions), Service Bus (queues/topics), and databases (Azure SQL, PostgreSQL Flexible Server, Cosmos DB), including templates, orchestration patterns, and governance guidelines.

Implementation, configuration & integration (end-to-end)

• Translate product requirements and scenarios into working realizations on Microsoft Azure under the Senior Architect’s direction.
• Deliver across the full Azure stack— APIs/services, data ingestion/processing, persistence/DB, telemetry/observability—applying product standards, best practices, and coding guidelines.
• Implement secure, reliable integrations and data exchanges across:
  

• Azure Data Factory:

  pipelines, triggers, parameterization, integration runtimes, error handling/retry patterns.

• Logic Apps:

  event/API-driven workflows, connectors, exception routing, idempotency.

• Azure Data Lake Storage Gen2:

  hierarchical namespaces, RBAC/ACLs, lifecycle management, partitioning conventions.

• API Management:

  API onboarding, versioning, products, policies (rate limit, validate-jwt, rewrite/transform, CORS), backend-to-frontend mediation.

• Event Grid & Service Bus:

  eventing vs. messaging patterns, topics/subscriptions, dead-letter handling, at-least-once delivery.

• Databases:

  Azure SQL / Postgres / Cosmos DB schema basics, CRUD/data access, simple query optimization.
• Engineer for security, performance, and supportability using Microsoft Entra and Azure controls: app registrations & enterprise apps (OIDC/SAML/OAuth2), managed identities, Key Vault secrets, RBAC, Conditional Access–aware designs, private endpoints, diagnostics, and structured logging.

Rapid prototyping reliable delivery

• Prototype to validate approach; then mature to production-ready with tests, input validation, logging/metrics, rollback paths, and operational documentation.
• Produce clear READMEs and how-to guides so others can deploy, run, monitor, and support what you build.

Agile delivery & collaboration

• Work in Agile sprints with stand-ups, reviews, and retrospectives; publish minutes and action items (AI-assisted).
• Plan work using the Definition of Ready/Done; deliver to release and acceptance criteria, SYplat product standards, and security criteria, with Senior Architect guidance and Product Manager/Owner acceptance.

Engineering excellence & compliance

• Apply an end-to-end quality approach: unit/integration/E2E testing where appropriate, peer reviews, static checks/linters, and traceable acceptance evidence.
• Adhere to SYplat’s security baseline (secrets in Key Vault, least privilege via Entra RBAC/role assignments, dependency hygiene), observability (Azure Monitor, Application Insights, Log Analytics), and basic resilience practices (retries, circuit breakers, DLQs).
• Follow SYplat processes, procedures, guidelines, and methodology at all times, including change/release checklists and documentation standards.
• The Senior Architect remains engaged throughout for direction and sign-offs; you are expected to learn and ultimately own your deliverables.

In short, you will be predominantly working on Microsoft Azure services—especially Azure Data Factory, Logic Apps, Azure Data Lake Storage Gen2, API Management, Event Grid, Service Bus, Azure-hosted databases—plus Microsoft Entra–integrated authentication/authorization patterns, alongside AI-agent development and end-to-end SYplat platform components.

What you bring

• Azure knowledge (mandatory):

  Knowledge/expertise in few or more of - Azure Portal/CLI, subscriptions/resource groups; ADF, Logic Apps, Data Lake Gen2, API Management policies, Event Grid vs. Service Bus, and Azure SQL/Postgres/Cosmos DB; understanding of managed identities, Key Vault, and RBAC.

• Microsoft Entra (huge advantage):

  Knowledge/expertise in one or more of - Azure Portal/CLI, subscriptions/resource groups; ADF, Logic Apps, Data Lake Gen2, API Management policies, Event Grid vs. Service Bus, and Azure SQL/Postgres/Cosmos DB; understanding of managed identities, Key Vault, Identity and Access Management (IAM), and Workload ID.

• Learning agility (mandatory):

  Ability to acquire new Azure services, concepts, and tools quickly; proactive inquiry; steady improvement.

• Problem-solving (mandatory):

  Structured analysis of ambiguous problems; evaluation of alternatives; sound technical judgment; appropriate use of prototypes and experiments.

• People & communication:

  Clear written/oral communication, professional collaboration, concise demos, and status updates across functions.

• SQL knowledge (advantage):

  Ability to read/write queries for validation, reporting, and troubleshooting (T-SQL or Postgres).

• Credentials (advantage, not required):

  Any recognized certifications/courses (AZ-900, DP-900, AI-900, AZ-204, DP-203, SC-300, SC-100, etc.).

• Professionalism:

  Commitment to SYplat’s processes, procedures, guidelines, and methodology; accountability for outcomes under the Senior Architect’s ongoing guidance.

Note:

Use AI tools, LLMs, and AI agents to draft and refine implementation artifacts, configuration, code, tests, documentation, and runbooks—for Azure services (subject to review by the Senior Architect and acceptance by the Product Manager/Owner).