Senior Solution Architect / Senior Technical Lead (Java /.NET)

Job Summary

We are seeking an experienced Senior Solution Architect / Technical Lead to lead the architecture, design, and delivery of mission-critical enterprise applications for the Defence sector. This role is responsible for driving enterprise architecture, technical governance, cloud-native modernization, AI-assisted software engineering, DevSecOps practices, and engineering excellence across large-scale government projects.

The ideal candidate possesses deep expertise in Java and/or Microsoft .NET technologies, modern cloud-native platforms, secure software engineering, AI-powered development tools, and enterprise solution architecture within highly regulated environments. You will lead high-performing engineering teams while ensuring scalable, secure, resilient, and maintainable solutions that align with government engineering standards.

Key ResponsibilitiesEnterprise Architecture

Define enterprise application architecture aligned with DSTA engineering standards.

Design secure, scalable, resilient, and highly available enterprise solutions.

Lead architecture reviews and technical governance activities.

Produce High-Level Designs (HLD), Low-Level Designs (LLD), Architecture Decision Records (ADR), and technical roadmaps.

Design API-first, Microservices, and Event-Driven architectures.

Lead modernization initiatives for legacy enterprise systems.

Ensure architecture compliance with government security and engineering standards.

Technical Leadership

Lead cross-functional engineering teams of 10–30 developers.

Establish software engineering standards, best practices, and coding guidelines.

Drive code quality through reviews, automation, and continuous improvement.

Mentor Solution Architects, Technical Leads, and Senior Developers.

Conduct architecture and design reviews.

Troubleshoot and resolve complex technical and production issues.

Support Agile/Scrum delivery and technical planning.

AI-Assisted Software Engineering (Mandatory)

Leverage AI-powered software engineering tools to improve developer productivity and software quality.

Experience with AI development tools such as:

GitHub Copilot Enterprise

Claude Code

OpenAI Codex

Cursor IDE

Amazon Q Developer

JetBrains AI Assistant

Continue.dev

Windsurf

Sourcegraph Cody

Practical experience in:

AI-assisted code generation

Automated test generation

Code refactoring

AI-powered code reviews

Documentation generation

Architecture generation

Unit test creation

Security scanning

AI-assisted debugging

Prompt engineering

AI pair programming

Agentic software development workflows

Vibe Coding methodologies

AI coding governance

Technical SkillsBackend DevelopmentJava

Java 17+

Spring Boot

Spring Cloud

Spring Security

Hibernate

JPA

Maven

Gradle

JUnit

Mockito

Microsoft .NET

.NET 8

ASP.NET Core

C#

Entity Framework Core

Minimal APIs

Blazor

Web API

LINQ

NUnit

xUnit

Frontend

React

Angular

Vue.js

TypeScript

HTML5

CSS3

Bootstrap

Material UI

API & Integration

REST APIs

GraphQL

gRPC

OpenAPI

Swagger

Kong API Gateway

WSO2

Apigee

NGINX

Event Streaming

Apache Kafka

RabbitMQ

IBM MQ

ActiveMQ

Azure Service Bus

Databases

PostgreSQL

Microsoft SQL Server

Oracle

MySQL

MongoDB

Redis

Elasticsearch

Cloud Platforms

Experience with one or more:

Microsoft Azure

AWS

Red Hat OpenShift

Kubernetes

Docker

DevSecOps (Mandatory)CI/CD

GitHub Actions

Azure DevOps

Jenkins

GitLab CI

Source Control

Git

GitHub Enterprise

Bitbucket

Infrastructure as Code

Terraform

Ansible

Helm

Kustomize

Container Platforms

Kubernetes

OpenShift

Docker

Observability

Prometheus

Grafana

Datadog

ELK Stack

Splunk

Secure Software Engineering

Strong understanding of:

OWASP Top 10

OWASP ASVS

Secure SDLC

Threat Modeling

SAST

DAST

Software Composition Analysis (SCA)

Secrets Scanning

Infrastructure-as-Code Security

Container Security

SBOM

Dependency Management

Zero Trust Architecture

OAuth2

OpenID Connect (OIDC)

JWT

PKI

Mutual TLS (mTLS)

AI Engineering (Preferred)

Experience with:

OpenAI APIs

Azure OpenAI

Claude APIs

MCP (Model Context Protocol)

AI Agents

LangChain

LangGraph

Semantic Kernel

Vector Databases

Retrieval-Augmented Generation (RAG)

Prompt Engineering

AI Guardrails

AI Security

Agentic AI

AI Gateway

LLM Observability

Architecture Expertise

Microservices Architecture

Event-Driven Architecture

Domain-Driven Design (DDD)

Clean Architecture

Hexagonal Architecture

CQRS

Saga Pattern

Service Mesh

API Gateway

Enterprise Integration

Distributed Systems

High Availability

Disaster Recovery

Government / Defence Experience (Highly Preferred)

Hands-on experience delivering enterprise solutions for:

DSTA

MINDEF

GovTech

Home Team

CSA

HTX

Other Singapore Government Agencies

Knowledge of:

Government procurement processes

Government engineering governance

Public Sector SDLC

Government security policies

Secure deployment environments

Mission-critical systems

Defence engineering lifecycle

DSTA Technical Experience (Preferred)

Experience with:

Azure Government Cloud / GCC

Azure Kubernetes Service (AKS)

Azure API Management

Azure DevOps

Azure Functions

Azure Logic Apps

Azure Service Bus

Azure Event Grid

Azure Key Vault

Microsoft Graph API

Microsoft Entra ID (Azure AD)

Application Insights

Microsoft Defender for Cloud

Microsoft Sentinel

SQL Always On

OpenShift Container Platform (OCP)

Windows Server

Linux (RHEL)

Engineering Excellence

Experience driving:

Architecture Review Boards

Technical Governance

Engineering KPIs

Quality Gates

Coding Standards

Technical Debt Reduction

Performance Engineering

Capacity Planning

Release Governance

Production Readiness Reviews

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or a related discipline.

12–18+ years of enterprise software engineering experience.

Minimum 5 years of experience as a Solution Architect or Technical Lead.

Proven experience delivering enterprise-scale solutions within government, defence, or highly regulated industries.

Strong hands-on coding capability in Java and/or .NET (not purely managerial).

Experience leading Agile/Scrum delivery teams.

Excellent communication, stakeholder management, and leadership skills.

Preferred CertificationsMicrosoft

Azure Solutions Architect Expert

Azure Developer Associate

Azure AI Engineer Associate

Azure DevOps Engineer Expert

Cloud

AWS Solutions Architect – Professional

AWS Developer Associate

Red Hat OpenShift Certification

Certified Kubernetes Administrator (CKA)

Certified Kubernetes Application Developer (CKAD)

Kubernetes and Cloud Native Associate (KCNA)

Security

CISSP

CCSP

CCSK

Certified DevSecOps Professional

GIAC Cloud Security

Architecture

TOGAF

Zachman Framework

ArchiMate

Nice-to-Have Skills

Platform Engineering

Internal Developer Platforms (IDP)

Backstage

Crossplane

ArgoCD

FluxCD

Dapr

Istio

Kong Gateway

NGINX

Redis Enterprise

Apache Ignite

AI Coding Governance

FinOps

Green Software Engineering

Chaos Engineering

Performance Engineering

Digital Twin Architectures

Site Reliability Engineering (SRE)

Low-Code Platforms (Power Platform, Mendix, OutSystems)

Key Competencies

Enterprise Solution Architecture

Technical Leadership

Cloud-Native Development

AI-Assisted Software Engineering

DevSecOps & Secure SDLC

Government & Defence Systems

Stakeholder Management

Architecture Governance

Team Mentoring

Strategic Decision-Making

Problem Solving

Executive Communication

Cross-Functional Collaboration

Experience:

enterprise software engineering : 1 year (Required)

Solution Architect : 5 years (Required)

Technical Lead: 5 years (Required)

Java: 5 years (Required)

.NET: 6 years (Required)

Work Location: In person