Golang Site Reliability Jobs Paying 200,000 USD a Year

Job Description

It’s our mission to empower every person to improve their life through DNA. We believe DNA will be digitally accessible to each person so that it can be used—at any time—to improve health outcomes and accelerate research.

Helix powers life-changing population health programs. Our world-class clinical laboratory platform and proprietary Exome+ assay enable health systems to integrate genomic information into routine clinical care and enhance the accessibility of personalized healthcare. Additionally, Helix stores and protects participants’ DNA information, so that as the science evolves, health systems, patients and researchers are able to continuously benefit from a lifetime of DNA insights.

Our big vision comes with big responsibility. That’s why we’re building a diverse team of experts in the field of genetics, engineering, design, business development, and beyond to help bring actionable insights to our customers.

What’s important to us:

• Curiosity — we are all passionate about the possibilities enabled by having access to your own genome
• Responsibility — we have an obligation to people and our partners to operate with highly credible research guided by well respected advisors, with clear and effective communication about our products
• Agility — flexibility and a desire to be nimble, smart, and effective are important to the Helix culture
• Follow-through — we’re building a diverse team with amazing track records of achievement in multidisciplinary environments

As a Senior Software Engineer, you will:

• Design and build high quality enterprise grade software solutions for genomics lab and data pipeline applications.
• Collaborate with product managers, bioinformaticians, scientists, regulatory, and other engineers.
• Synthesize requirements and author new engineering designs.
• Build for reliability and scale across users and health systems.
• Advance engineering best practices.
• Mentor other engineers to reinforce a culture of learning and teaching.

Required:

• A passion for improving people’s lives through access to better information about their DNA
• 5+ years development experience in one of the following: Go, Python, or a similar language
• A proven track record of building software solutions for managing and processing large datasets
• Strong written and verbal communication skills
• Familiarity with developing software on cloud platforms — AWS, GCP, Azure
• Affinity for an engineering culture that emphasizes Agile, DevOps, and continuous delivery

Pluses:

• Familiarity with full-stack development
• Familiarity with regulated software systems and entities
• BS+ in Computer Science; coursework in genetics or bioinformatics

What Helix can offer you:

• Competitive compensation, including meaningful equity
• 401(k) with employer matching
• Health insurance, including medical, dental, and vision
• 12 weeks of Maternity or Paternity leave
• 4 weeks of paid Pregnancy Disability
• On-premise nursing room
• Commuter benefits
• Catered meals
• Flexible PTO

Job Description

As an early Platform Engineer at Watchtower, you’ll enable us to deliver our platform reliably, securely, and at massive scale. You’ll help architect low latency, real-time microservices that process & detect sensitive data at scale.

Responsibilities:

Building highly-available and secure authentication and API services Maintaining and evolving mission-critical internal databases and services Optimizing and operating high volume auto-scaling streaming data services Instrumenting streaming data services for visibility into utilization per customer

Qualifications:

Expertise in one or more systems/high-level programming language (e.g. Go, Rust, Python, Java, C++) and the eagerness to learn more. Eagerness to wear multiple hats in a startup environment Experience running scalable (thousands of RPS) and reliable (five 9’s) systems. Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring and reliability. Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. Cassandra, CockroachDB, Spanner) Ability to decompose complex business problems and lead a team in solving them Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper

Tools We Use:

Go, React, Python, Cassandra, Redis, Terraform, Docker, Kubernetes, AWS (SQS, S3, Redshift, RDS, EKS), Kafka, Envoy

About Watchtower:

Watchtower is a cybersecurity startup dedicated to helping enterprises secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in the modern enterprise is often sprayed across a broad set of cloud systems (e.g. SaaS & data infrastructure), and it’s a herculean task for security teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for companies to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and APIs. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup based in San Francisco and Palo Alto, well-funded by leading institutional investors with deep expertise in the cybersecurity industry. Learn more at our website www.watchtower.ai or by reaching out via email at careers@watchtower.ai.