Site Reliability Engineer (Azure)

Posted 5 Hours Ago
Be an Early Applicant
India
5-7 Years Experience
Artificial Intelligence • Software • Automation
The Role
Join ABBYY as a Site Reliability Engineer specializing in Azure. Co-own critical production service designs, drive reliability improvements, build internal tools, lead reliability-focused practices, and more. Requires 6+ years of experience, programming skills in Python, expertise in Azure cloud technology, and experience with Terraform and Ansible.
Summary Generated by Built In

Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fuelling ours.

Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.

As a trusted partner for intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Innovation and excellence run through our veins, and you will work with experts who are creating market-leading technologies, using Machine Learning and Artificial Intelligence, and an advanced and sophisticated tech stack.

Responsibilities:

  • Сo-own critical production service designs to ensure high reliability is achievable and measurable
  • rive reliability and observability improvements in the services within the engineering verticals
  • Using monitoring and telemetry data, help teams make informed decisions on where reliability challenges may exist and help design and build solutions to improve them
  • Build and improve internal tools and automation software to make maintaining production services easier and safer
  • Lead reliability-focused practices such as Failure Analysis, Load and Capacity Planning, Service Reviews, Architecture Designs, Incident Postmortems, and others
  • Developing Infrastructure as a Code.
  • You will build SRE dashboards from SLIs to measure SLO adherence
  • Define (from design to implementation details) necessary auto-healing and fault-tolerant systems
  • Point of contact for production application issues, working closely with engineering leadership

Requirements:

  • 6+ years of experience in an Infrastructure, SRE, DevOps, CloudOps role
  • Experience programming in one or more of the following: C#, Java, Python, .Net, NodeJS, Go,
  • Experience with Terraform, Ansible, or any similar programming language
  • Experience with Azure cloud technology 
  • Experience with cloud-performant microservices and event-driven architectures
  • Experience with Kubernetes administration is an added advantage.
  • Understanding of information security concepts and terminology
  • Distributed monitoring experience: logging, metrics, tracing, etc.
  • Strong knowledge of software development methodologies and passion for creating high-standard tool sets for infrastructure-as-code
  • Ability to analyze problems quickly and find suitable solutions based on available resources
  • A proactive and open-minded individual with a clean-cut client focus and structured approach
  • Experience in managing and leading a small team
  • English level - B2

#LI-PD1

At ABBYY you will: 

Love how you work

  • We provide remote and hybrid working options to fit all lifestyles.
  • We use flexible hours across most of our teams to allow you to find your own definition of balance.
  • Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
  • To ensure your family is cared for, we offer paid parental leave in all our locations.

Love whom you work with

  • We are a global team of 800+ colleagues, spread across 15 countries on four continents.
  • With 30+ nationalities and ages ranging from 21 to 80, our workforce reflects the world.
  • Innovation and excellence run through our veins.
  • Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
  • We are guided by the values of respect, transparency, and simplicity. "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.

Love what you work on

  • We are a company with more than 30 years of experience in the technology market.
  • Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK in our client portfolio.
  • ABBYY has modernized the way companies leverage their data in documents by creating the first low-code/no-code Intelligent Document Processing platform.
  • Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a Marketplace built with AI, can transform any document in any process.
  • Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.

ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website. ​

Top Skills

Python
The Company
HQ: Austin, Texas
923 Employees
On-site Workplace
Year Founded: 1989

What We Do

ABBYY puts your information to work. We help enterprises and organizations to transform their data into intelligent, actionable outcomes, so they can make smart decisions faster and drive better results.

Our intelligent automation solutions employ AI that is purpose-built for the enterprise—created with our customers in mind, supporting over 200 languages in real time.

ABBYY intelligent document processing transforms data from any document, in any format or language, any time, into data that drives processes and decision-making. ABBYY Process Intelligence delivers process-related insights and monitoring to improve business process execution.

For more information, please visit the ABBYY website

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