Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
155к-172к CAD/год
210к CAD250к CADмедиана310к CAD
По похожим ролям (50) ~ 250к CAD/год
82
Хорошая вакансия
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Добротная SRE-роль в стабильном медтех-продукте с четким кругом задач и рыночной зарплатой, хотя придется столкнуться с очень старым легаси на Windows.
Senior Site Reliability Engineer (Cloud/DevOps/AI): Designing and operating resilient cloud-based infrastructure and mission-critical application services with an accent on automation, observability, and operational scalability. Focus on improving service reliability, testing infrastructure resilience, optimizing performance and costs, and safely responding to security risks.
Location: Remote - US; travel to the Mississauga and/or Salt Lake City offices is required for onboarding, team events, and semi-annual or annual team meetings.
Salary: CAD 155,000–172,000 per year, plus bonus, equity, and benefits.
Company
hirify.global is a privately held health technology company providing a healthcare platform and marketplace for more than 30,000 provider organizations, supported by a large long-term and post-acute care dataset.
What you will do
Provide technical leadership for applying software engineering practices to operations at scale.
Monitor and report on service-level objectives and collaborate with business and product owners to establish performance indicators.
Design operational solutions that improve automation, repeatability, consistency, observability, and operational workload.
Conduct technical training, game day scenarios, engineering spikes, and persistent resilience testing for applications and infrastructure.
Partner with security engineers to develop plans and automation for responding to risks and vulnerabilities.
Guide software development teams on resiliency, efficiency, performance, costs, change management, and sustainable operational practices.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, MIS, or a related discipline.
Relevant software development or architecture experience and hands-on experience in DevOps or system administration.
Experience building and supporting cloud-based solutions and supporting mission-critical applications in production.
Experience with one or more of C, C++, Java, Python, Go, Perl, or Ruby.
Experience with algorithms, data structures, complexity analysis, and software design.
Experience with configuration management and deployment automation tools such as Chef, Terraform, Puppet, or Ansible.
Experience administering Windows and Linux machines, plus knowledge of the software development life cycle and QA and beta environments.
Proficiency in cloud computing concepts and on-premise infrastructure, with a strong understanding of infrastructure platforms and concepts.
Strong understanding of Agile software development, standard production practices including change management, debugging, code optimization, and routine-task automation.
Systematic problem-solving skills, strong communication, ownership, and drive.
Nice to have
Experience with Azure cloud infrastructure and services.
Experience with virtualization and container solutions such as Docker, Kubernetes, or ECS.
Broad troubleshooting experience across web servers, Java application platforms, operating systems, networks, virtualization, and databases.
Advanced Linux knowledge, including kernel compilation, syscall tracing, TCP, and init systems such as sysvinit, runit, or systemd.
Open-source software knowledge and contributions to the open-source community.
Use of generative AI code assistants such as GitHub Copilot and knowledge of current generative AI model capabilities.
Culture & Benefits
Remote work with required travel to office events in Mississauga and/or Salt Lake City.
Benefits begin on Day 1 and include retirement plan matching, flexible paid time off, parental and caregiver leave, and fertility and adoption support.
Wellness support, employee assistance, continuous development support, recognition programs, and allyship and inclusion communities.
AI tools are used to support parts of the hiring process, while final hiring decisions are made by humans.
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