Bioinformatics/DevOps Engineer — Cloud Genotyping Pipeline (AWS/GCP)

We're an agricultural biotech lab migrating a targeted-genotyping workflow (DNBSEQ-G99 sequencer, amplicon SNP panels) to the cloud and need a bioinformatics/DevOps freelancer to set us up on Google Cloud or AWS — whichever you can show is more cost-effective for this workload. Experience in agri-genomics or plant genomics is preferred. The job: stand up a cloud instance where sequencing data uploads automatically after a run, we log in from Windows (plug-and-play preferred, no command line), and the pipeline produces our four standard output files — a genotype matrix, per-marker call-rate table, per-sample call-rate table, and a run QC report — matching the example files provided, plus top/topbottom genotype-call exports as CSV. Acceptance is straightforward: we'll give you one existing plate with known results, and your pipeline's output must match it. You should be comfortable with FASTQ→BAM→VCF workflows (bwa-mem2/samtools/bcftools), amplicon primer trimming, IAM/secure access, S3 or Cloud Storage, and cost-aware instance sizing (overnight runtime is fine). Detailed spec available on request. Please share relevant genotyping/cloud experience and a rough estimate.