Product engineering and infrastructure modernization for enterprise clients
Coditude is a 51–200-person product engineering firm built around modernization work: replacing legacy systems, scaling infrastructure on AWS and GCP with Kubernetes, and building ML recommendation platforms. The tech stack (Java, TypeScript, React, PostgreSQL, Kubernetes, Ansible) and active projects signal a services business anchored in backend modernization and DevOps, not a product company. Hiring is engineering-heavy (18 of 31 open roles), heavily senior-weighted (20 of 31), and concentrated in India — a classic offshore-augmented model.
Notable leadership hires: Technical Lead, Frontend Lead
Coditude delivers custom product development and infrastructure services to mid-market and enterprise clients. Core competencies span SaaS product engineering, cloud migration, AI/ML platform work, and digital experience design. The company operates from San Francisco with an engineering-focused offshore team in India. Notable projects include petabyte-scale web scraping systems, Kubernetes-based microservice migrations, CI/CD pipeline automation, and ML recommendation platforms. Pain points center on modernization velocity (replacing outdated systems, database migrations, improving IT ops maturity) and organizational challenges (performance monitoring, training, compliance) — typical friction points for services delivery at scale.
Coditude's primary stack includes Java, TypeScript, React, PostgreSQL, MySQL, Kubernetes, and Ansible. Testing is covered by Selenium, Playwright, Cypress, and TestRail. Analytics tools include Google Analytics and Adobe Analytics.
Yes. Engineering roles dominate hiring: 18 of 31 active positions are engineering roles, with 20 total positions at senior level. Hiring is concentrated in India.
Active projects include infrastructure automation on AWS and GCP, Kubernetes microservice migrations, petabyte-scale web scraping, ML recommendation platforms, legacy system replacement, and CI/CD pipeline development.
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Coditude'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.