Microsoft and AWS services firm focused on cloud infrastructure and quality assurance
Adactin is a 13-year-old Australian IT services firm specializing in Microsoft Azure and AWS deployments, with deep bench strength in infrastructure automation and performance testing. The tech stack is heavily weighted toward Azure networking (Firewall, Front Door, ExpressRoute, Virtual WAN) and enterprise monitoring (Dynatrace, AppDynamics), paired with test automation tooling (JMeter, LoadRunner, NeoScale). Current hiring spans engineering, ops, sales, and security across Australia and Singapore, with notable VP-level openings — suggesting expansion into new delivery lines or geographies. The pain-point list centers on delivery velocity and infrastructure provisioning latency, indicating internal scaling friction.
Adactin delivers application development, cloud migration, and quality assurance services to mid-market and enterprise clients. The firm operates domain-centric delivery teams with specialization in Microsoft ecosystems (Azure infrastructure, Active Directory, DevOps) and AWS cloud services, complemented by AI-powered automation and performance analytics capabilities. Current project work includes landing-zone architecture modernization and network optimization, with explicit expansion focus on AI, ML, QA, and emerging technology domains. Headquarters in Parramatta, NSW; operations extend to Singapore.
Azure and AWS. Stack includes Azure Firewall, Front Door, ExpressRoute, Virtual WAN, AKS, App Service, plus AWS WAF and PrivateLink. Also Oracle and Apache JMeter for performance testing.
Parramatta, NSW, Australia (Suite 402, Level 4, 56 Station Street). Secondary operations in Singapore.
Adactin's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.