Biotechnology / Senior Bioinformatics Engineer / USA #358

DevKit is more than just an IT company - we are a team of passionate professionals dedicated to creating cutting-edge solutions. Our employees work on exciting international startups, collaborating with highly skilled teams from around the world. With expertise in software development, design, and engineering, we help bring innovative ideas to life and drive success on a global scale!

Our mission is to connect exciting projects with top-tier professionals. We are committed to creating a dynamic space where innovation thrives, top talent excels, and global teams unite to develop cutting-edge solutions.

We’re building an AI platform that combines whole-genome sequencing, bioinformatics, LLMs, and modern backend engineering to help AI reason accurately about human genetics and health.

We are hiring a Senior Bioinformatics Engineer to develop cutting-edge genomic analysis tools and infrastructure for the Bioinformatics team. You build the data analysis and interpretation that helps users uncover meaningful insights about their health, wellness, and ancestry from their DNA. This role requires expertise in cloud technologies, large-scale genomic data processing, and software development. Your work helps power the future of personal genomics.

The Impact

• Design, build, and maintain scalable pipelines for processing and analyzing clinical-grade 30x whole-genome data.
• Support a wide range of genomic data types at consumer scale.
• Optimize performance, reliability, and cost of data processing pipelines across AWS and hybrid environments.
• Keep throughput high and latency predictable for end users.
• Develop production-quality services and tools using Python/C#, SQL, and AWS, including Lambda, Glue, Batch, S3, and RDS.
• Power Sequencing's DNA apps and reports with the services and tools you build.
• Collaborate across product, science, engineering, and UX teams to translate scientific findings into clear, consumer-friendly genetic insights that are easy to navigate.
• Establish and adhere to best practices for software engineering, data versioning, testing, observability, and documentation across bioinformatics workflows.
• Debug complex data and infrastructure issues with a systematic approach.
• Operate and improve production systems where correctness and reliability are critical.
• Leverage AI tools to increase productivity, code quality, and testing depth.
• Deliver high quality, validated output.

Qualifications

• 6+ years of experience in bioinformatics, computational biology, computer science, or a related field.
• Strong hands-on experience working with real-world genomic datasets and file formats such as VCF, BAM, and FASTQ.
• Solid understanding of genomic databases, standards, and annotation resources.
• Proficient in Python/C#, SQL, with a track record of writing clean, maintainable code.
• Designed and implemented bioinformatics pipelines and data processing systems in production.
• Built scalable, reliable systems on cloud platforms such as AWS, including the use of managed services.
• Familiar with containerization and orchestration technologies such as Docker and Kubernetes.
• Excellent problem-solving skills and exceptional attention to detail.
• Fluent in English, both written and verbal, with clear communication across technical and non-technical stakeholders.

Working terms

• A long-term role in a stable, fast-growing company
• Flexible working hours with a results-oriented approach
• Competitive salary and benefits package (vacation, sick leave, national holidays)
• Comfortable workspace, corporate events, and team-building
• Continuous learning, professional growth, and skill development

If you're looking for a place to grow, innovate, and make an impact, we'd love to have you on board!