We are seeking a highly skilled Senior Software Engineer to help design, build, and scale data-intensive applications and cloud-native platforms. In this role, you will contribute to the development of distributed systems, high-performance APIs, and cloud infrastructure supporting large-scale data processing and analytics. The ideal candidate is passionate about software craftsmanship, system reliability, and delivering impactful products through multiple successful release cycles.

Key Responsibilities

• Design, develop, and maintain scalable software products and services using Go (Golang).
• Build and support high-performance, data-intensive RESTful APIs used by internal and external stakeholders.
• Contribute to the architecture, delivery, and maintenance of major product releases throughout the software lifecycle.
• Develop event-driven and real-time processing solutions leveraging Apache Kafka and streaming architectures.
• Apply software engineering best practices, including Unit Testing, Test-Driven Development (TDD), and continuous integration methodologies.
• Develop and maintain containerized applications using Docker and deploy workloads within Kubernetes environments.
• Design, implement, and manage cloud-based infrastructure using platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Collaborate with cross-functional teams to gather requirements, evaluate technical solutions, and deliver scalable systems.
• Create and optimize large-scale database models using both relational and NoSQL technologies.
• Monitor system performance, reliability, and scalability, proactively identifying opportunities for improvement.
• Participate in code reviews, architectural discussions, and technical mentorship activities.

Required Qualifications

• Proven track record of successfully shipping, operating, and maintaining multiple major software product releases.
• Strong experience developing and launching software products or significant platform features using Go (Golang).
• Hands-on experience building and maintaining RESTful APIs in high-volume, data-intensive environments.
• Experience implementing stream processing solutions using Apache Kafka.
• Solid understanding of Unit Testing, automated testing frameworks, and Test-Driven Development (TDD) practices.
• Experience creating and supporting containerized application deployments with Docker or similar technologies.
• Experience deploying and operating applications in Kubernetes cluster environments.
• Proven ability to build, automate, and maintain infrastructure on a major cloud platform, including AWS, Azure, or Google Cloud Platform.
• Experience designing and optimizing data models for large-scale relational and/or NoSQL databases.
• Excellent verbal and written English communication skills with the ability to collaborate effectively across diverse teams and stakeholders.
• Strong analytical and problem-solving abilities with a focus on delivering scalable, reliable solutions.

Preferred Qualifications

• Experience with Protocol Buffers and gRPC for service-to-service communication.
• Hands-on experience with:
  • Google Cloud Platform (GCP)
  • Apache Beam
  • Google Cloud Dataflow
  • Google Kubernetes Engine (GKE)
• Experience working with scientific, research, or highly analytical datasets.
• Background applying quantitative or data-driven methodologies to solve business problems.
• Experience in bioinformatics

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, or a related technical field, or equivalent practical experience.
• Typically 5+ years of professional software engineering experience in distributed systems, cloud infrastructure, or data platforms.