Companies that use AWS Application Load Balancer

Source: Analysis of job postings that mention AWS Application Load Balancer (using the Bloomberry Jobs API)

I analyzed these postings and found that AWS Application Load Balancer purchasing decisions are primarily driven by technical leadership within infrastructure and platform engineering teams. DevOps Engineers (39%) and Backend Engineers (28%) represent the core buyers, with Network Engineers (11%) and Cloud Architects (11%) also playing key roles. These teams are focused on cloud migration, platform modernization, and building scalable infrastructure. My analysis shows they prioritize security, automation, and operational efficiency when making infrastructure decisions.

The day-to-day users are hands-on infrastructure practitioners managing containerized workloads and microservices architectures. They configure load balancers alongside services like Amazon ECS, EKS, and API gateways. I noticed consistent emphasis on managing CI/CD pipelines, implementing infrastructure as code using CloudFormation or Terraform, and maintaining high availability for production applications. These engineers monitor network traffic, optimize performance, and ensure seamless integration across cloud and hybrid environments.

The pain points reveal a strong push toward modernization and operational excellence. Companies describe needs like "design and implement scalable, secure, and highly available AWS infrastructure" and "eliminate operational bottlenecks through smart software solutions." I found repeated references to "digital modernization initiatives," "migration to AWS," and building platforms that "compress time to market." Organizations are clearly investing in load balancing technology to support their transition from legacy systems to cloud-native architectures while maintaining reliability and security compliance.

Source: Analysis of Linkedin bios of 6,218 companies that use AWS Application Load Balancer

I noticed AWS Application Load Balancer users span an incredibly diverse range of operations, from food services and hospitality to education, healthcare, and technology. What strikes me is they're not just tech companies. I see restaurants like CookUnity delivering meal subscriptions, hotels managing bookings, schools handling student services, financial platforms processing transactions, and media companies streaming content. What unites them is they all run digital platforms that customers depend on, whether that's ordering food, making payments, accessing health records, or consuming content.

The maturity level varies wildly. I see early-stage startups with seed funding under $1M alongside established institutions operating for 30+ years with hundreds or thousands of employees. However, most fall into a middle category: companies with 50-500 employees who've moved past startup phase but aren't massive enterprises yet. They're scaling, managing growth, and professionalizing their digital infrastructure. Even century-old organizations like Britannia Industries present themselves as modernizing and expanding their digital capabilities.

Source: Analysis of tech stacks from 6,218 companies that use AWS Application Load Balancer

I noticed that companies using AWS Application Load Balancer tend to be mature, digitally-sophisticated businesses operating at significant scale. The presence of OneTrust Consent Management Platform (43.4x more likely) and Akamai (47.9x more likely) tells me these are companies handling substantial web traffic across multiple regions, often serving European customers who require GDPR compliance. They're likely B2C or B2B SaaS companies with complex privacy requirements and global reach.

The pairing of Rudderstack (175.3x more likely) with AWS Application Load Balancer is particularly revealing. Rudderstack is a customer data platform that requires robust infrastructure to handle event streaming at scale. Companies using both tools are clearly investing in sophisticated data collection and analysis, routing massive amounts of user behavior data through scalable infrastructure. The high correlation with Amazon SES (18.1x more likely) reinforces this picture of companies sending transactional emails at volume, likely triggered by user actions flowing through their data pipelines. Meanwhile, Atlassian Cloud appearing 19.1x more often suggests these organizations have engineering teams large enough to need formal collaboration and project management tools.

My analysis shows these are typically product-led growth companies in their expansion or maturity phase. They've moved beyond startup infrastructure and invested in enterprise-grade solutions for compliance, security, and data management. The emphasis on AWS services and third-party integrations suggests they prioritize reliability and scalability over cost optimization. These aren't early-stage companies experimenting with technology choices.