Loka is a San Francisco software consultancy delivering AI, ML, data and DevOps engagements, with a strong tilt toward healthcare and life sciences. Its stack reveals genomics depth: Nextflow, WDL, Snakemake, GATK and OncoKB sit alongside lakehouse formats Hudi, Delta Lake and Iceberg on Databricks. Hiring is senior-heavy and data-led, focused on production pipelines and real-time streaming, though overall velocity is slowing.
Loka is a privately held software consultancy headquartered in San Francisco, founded in 2004 and employing 201–500 people. It builds custom software, mobile and web apps, machine learning systems and data platforms for clients ranging from funded startups to large enterprises. Focus verticals include healthcare, life sciences, education and logistics. The company is an AWS partner and also works across GCP and Azure, with a distributed team spanning many countries and current hiring in Portugal, North Macedonia and Brazil.
Loka works with Python, Node.js and TypeScript on AWS, GCP and Azure, using Docker, Kubernetes, Terraform and AWS CDK, plus Databricks, Apache Spark, Delta Lake, Iceberg and Hudi for data.
Loka's current hiring is concentrated in Portugal, North Macedonia and Brazil, mostly for senior and lead data, engineering and operations roles.
Yes. Its stack includes genomics workflow tools such as Nextflow, WDL, Snakemake and Conda, along with GATK and OncoKB, supporting its healthcare and life sciences client work.
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Loka'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.
