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About Strand Life Sciences:
Strand is a 24-year-old spin-off from the Indian Institute of Science. We are a cutting-edge Genomics company with a global customer base. We build applications that use DNA sequencing to improve human health. In the process, we build algorithms, data pipelines, and visualizations to handle large amounts of sequence data. We are committed to transforming complex data into actionable insights, contributing to groundbreaking research and innovative solutions in the field of genomics. We anticipate that in the next few years, hundreds of millions of individuals will have their DNA sequenced, and invite you to join us in this transformative journey.
About the Position
We are seeking a Senior Software Engineer with strong expertise in AWS and in building and operating scalable, distributed systems to join our Genomic Data Store (GDS) platform team.
In this role, you will design and develop high-performance backend systems using technologies such as C# and .NET, while working across cloud-native architectures involving Kafka, PostgreSQL, and AWS. You will play a key role in driving system scalability, reliability, and performance, contributing to complex data workflows that power genomic data processing at scale.
You will collaborate closely with cross-functional teams, influence architectural decisions, and help elevate engineering standards through best practices in system design, testing, and deployment.
Key Responsibilities:
Qualification and Required Skills:
Good to have experience:
We offer:
Job ID: 147484167
Skills:
react.js , Golang, Css3, Javascript, Gcp, Terraform, Html5, Vault, Azure, Python, AWS, cloud monitoring tools, Packer, DevOps principles
Skills:
Golang, Node, Cassandra, Prometheus, Kafka, OpenStack, Grafana, Azure, Shell, Docker, Typescript, Elasticsearch, Openshift, Sensu, Python, AWS, Java, Sql, New Relic, Memcached, Appdynamics, Gcp, Splunk, Nagios, Kubernetes, Postgress, Mesosphere, Docker EE, graphite
Skills:
data engineering , Java, Apache Flink, Hadoop, Scala, Apache Spark, Kafka, Google Cloud, Sql, Azure, Python, AWS, Etl, HDFS, Streaming Data
Skills:
React, Git, Typescript, Javascript, Docker, Vue, Node.js, Restful Apis, Svelte
Skills:
Prometheus, Angular, React, Docker, Python, AWS, Java, Aws Lambda, Saas, Elk Stack, Sql, Sdlc, Gcp, Node JS, Azure, Devops Tools, Kubernetes, KNative, No-SQL Databases, event-driven development, AI tools, Data Dog, Cloud Functions, Go, cloud-native product development, microservices architecture
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