Devops Engineer For Life Sciences

????????Seqera develops software that helps scientists analyze and process data, consolidating fragmented data and computing resources into a unified platform for life sciences organizations.??????Build and operate internal infrastructure supporting engineers, services, and customers;Design and evolve cloud infrastructure with a focus on security, reliability, and cost-effectiveness;Own CI/CD pipelines and infrastructure-as-code tooling;Develop and maintain CI/CD pipelines to automate software deployment, testing, and release processes;Automate infrastructure provisioning and configuration management using Terraform and related tools;Collaborate across engineering, product, and internal teams to deliver high-impact projects and provide infrastructure expertise;Implement and maintain monitoring, logging, and alerting systems;Design and implement tools and technologies to improve efficiency, scalability, and security;Write internal tools and services to automate manual workflows, improve developer productivity, and provide operational insights;Respond to production incidents and contribute to blameless postmortems;Continuously improve system reliability.??????????Experience developing robust and scalable infrastructure solutions;Expert knowledge of Infrastructure As Code, CI/CD, and modern engineering tooling;Proficiency with Terraform, CloudFormation, or similar tools;Experience using infrastructure tooling in an enterprise setting;Ability to work with ambiguity, develop hypotheses with limited information, and learn complex concepts quickly;Ability to drive tasks independently and proactively seek help and additional resources when needed;Strong foundational knowledge of cloud infrastructure engineering;Experience applying industry best practices and implementing security measures to protect data integrity and prevent vulnerabilities;Experience identifying and responding to complex incidents, including issues related to customer infrastructure;Ability to communicate with technical teams and leadership to collect requirements and describe software product features and technical designs;Nice to have: Experience with multiple cloud providers, developer productivity experience, release engineering experience.???????23 Vacation days per year;3 Additional days off provided by Seqera in December;National and public holidays according to the employee’s location;Equity;Private health insurance;Private life insurance;Home office allowance valued over 1,000 USD;Subscription to Oliva Mental Health App;Learning and development budget of 1,000 USD per year.#J-*****-Ljbffr

??????????Experience developing robust and scalable infrastructure solutions;Expert knowledge of Infrastructure As Code, CI/CD, and modern engineering tooling;Proficiency with Terraform, CloudFormation, or similar tools;Experience using infrastructure tooling in an enterprise setting;Ability to work with ambiguity, develop hypotheses with limited information, and learn complex concepts quickly;Ability to drive tasks independently and proactively seek help and additional resources when needed;Strong foundational knowledge of cloud infrastructure engineering;Experience applying industry best practices and implementing security measures to protect data integrity and prevent vulnerabilities;Experience identifying and responding to complex incidents, including issues related to customer infrastructure;Ability to communicate with technical teams and leadership to collect requirements and describe software product features and technical designs;Nice to have: Experience with multiple cloud providers, developer productivity experience, release engineering experience. ???????23 Vacation days per year;3 Additional days off provided by Seqera in December;National and public holidays according to the employee’s location;Equity;Private health insurance;Private life insurance;Home office allowance valued over 1,000 USD;Subscription to Oliva Mental Health App;Learning and development budget of 1,000 USD per year.

????????Seqera develops software that helps scientists analyze and process data, consolidating fragmented data and computing resources into a unified platform for life sciences organizations.