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Lead Azure DevOps Engineer

Проектная занятость

Project: IT service provider for the life science and healthcare industry.


  • Managing a distributed team of DevOps engineers and streams within the project
  • Participating in customer meetings, setting objectives, and responding to inquiries
  • Advising on technical aspects of installation, configuration, sizing, and scaling in Azure Cloud
  • Providing new Azure Cloud resources and services via Terraform and/or Azure ARM templates (including Azure Policies and Azure Blueprints)
  • Managing and supporting various environments in Microsoft Azure Cloud
  • Configuring and managing the infrastructure deployed in Azure Cloud
  • Developing and managing the CI/CD process in Azure DevOps for different types of applications, environments, and automation processes
  • Deploying and configuring various data pipelines based on Data Factory, Azure Batch, and Azure Databricks
  • Automating deployment of application code to different environments
  • Managing build assembly, deployment, and configuration, testing implemented solutions.
  • Managing and deploying custom scripts.

What we expect:

  • Deep understanding of Azure Cloud, Azure DevOps/Pipelines
  • Effective team management skills
  • Strong customer negotiation skills
  • Good knowledge of Terraform and/or Azure ARM templates/Blueprints
  • Solid experience with Kubernetes/Docker
  • Knowledge of Azure Virtual Networks, App Services, PostgreSQL, Virtual machines, Data Factory, Batch, Functions (Serverless), Logic Apps
  • Knowledge of Azure Monitor, Security Center, Log Analytics, and App Insights and ability to use them for system monitoring and developer support (logs, traces, RCAs)
  • Experience in creating infrastructure (planning, scaling, monitoring)
  • Upper-Intermediate English or higher.

Инженер DevOps


Уровень: Senior

Английский: Разговорный

Описание проекта: Команда работает в 3 направлениях: инженерное, аналитически-процессное и прикладное, которое покрывает работу над инструментами для команд разработки (Slack, Jira и т.п).


  • Понимание принципов работы систем мониторинга и алертинга, метрик и time series, построения графиков и т.д.;
  • Понимание практик SRE, в том числе критерии доступности - SLO, SLI, SLA
  • Опыт администрирования Linux (CentOS, Ubuntu), баз данных и работы с сетевым стеком (HTTP, TCP/IP, DNS, REST API);
  • Опыт работы с системами виртуализации и контейнеризации;
  • Опыт работы с Kubernetes, организации его мониторинга и владение Helm;
  • Владение любым языком: Bash, Python, Go, Groovy и т.д.;
  • Уверенное владение английским языком (мы плотно взаимодействуем с зарубежными коллегами).
  • Понимание паттернов обеспечения отказоустойчивости - load balancing, circuit breakers, disaster recovery;
  • Опыт работы с Яндекс.Облаком и Terraform;
  • Опыт построения long-term хранилища метрик на базе VictoriaMetrics/Thanos/Cortex/Grafana Mimir будет большим плюсом;
  • Опыт внедрения трассировки (tracing) на базе OpenTelemetry будет большим плюсом;
  • Опыт построения HA реализаций мониторинга на базе Prometheus stack;
  • Умение работать с Git, Ansible/Salt, JSON, YAML и опыт написания CI/CD пайплайнов;
  • Понимание методологии DevOps и опыт взаимодействия с Agile командами разработки.

SRE/DevOps Engineer

Постоянная работа

Looking for a SRE/DevOps Engineer to work on a trading product.


  • Strong knowledge of Linux (or any other Unix);
  • Experience with DevOps tools (Docker, Jenkins, Gitlab-CI, Ansible, Terraform, Chef, Puppet etc.);
  • Understanding of principles of web-servers (ex. Nginx);
  • Understanding of HTTP Stack;
  • Understanding CI/CD;
  • Version control systems: Git;
  • Knowledge of SQL;
  • Basic knowledge of databases: PostgreSQL/MySQL;
  • Basic knowledge of networks.


  • Monitor the operation of reporting systems in production, solve current problems and work on improving the operation of systems (find errors in logs and performance loss, detect problems in the interaction of services, analyze application performance metrics and system metrics of host resources on which the application is deployed and create tasks for development team to fix the problems);
  • Incident resolution, root cause analysis, reporting, collaboration in problem;
  • solving including problems related to other teams;
  • Configure and adjust monitoring of services;
  • Build, release and configuration management of production systems;
  • Deploying, automating, maintaining and managing AWS cloud-based production system, to ensure the availability, performance, scalability and security of production systems;
  • Managing dev QA and production environments.

Tech stack:

  • *nix family OS;
  • AWS;
  • Kubernetes;
  • ELK;
  • Zabbix, Grafana, Dynatrace;
  • Git;
  • Jenkins, Gitlab CI;
  • Terragrunt;
  • PostgreSQL;
  • Kafka;
  • Consul, Vault.

Relocation to Montenegro.

DevOps Engineer


We are a leading back-office solution provider for Fintech companies that specialises in brokerage-related solutions. We have been operational for over ten years and are continually innovating on a wide range of products and services that serve the financial industry. 

We are looking for an experienced DevOps Engineer to automate builds, regression testing, monitoring, and pushing releases across multiple environments. You will be working as part of a highly talented team of IT and business specialists. The team’s top priority is to deliver new features and improve existing services.

You like:

  • A Challenge;
  • A stable environment to nurture your passion for technology;
  • A chance to grow as a specialist;
  • To work in an agile, fast-paced environment;
  • To deliver quality work on time and focus on business value;
  • Meaningful work with a profound impact on the company and the industry.

About you:

  • Passionate about DevOps, Software Engineering, and Continuous Delivery;
  • Hands-on experience in administration of Linux and Windows-based infrastructure;
  • Experience in Cloud infrastructure such as AWS, Azure, GCP;
  • Good knowledge of Configuration Management and Deployment tools like Puppet, Ansible, Chef, Terraform, etc.;
  • Experience in developing Continuous Integration / Continuous Delivery pipelines (CI/CD);
  • Experience in writing Documentation;
  • Have an automation/config management mindset.

As an advantage:

  • Proficient in scripting;
  • Hands-on experience with Terraform;
  • Knowledge of Kubernetes;
  • Up-to-date knowledge of best practices regarding system security measures;
  • Excellent troubleshooting.


  • Creation and enhancement of Continuous Integration automation across multiple platforms using Jenkins or Bamboo;
  • Creation and Enhancement of Continuous Deployment automation built on Docker and Kubernetes;
  • Maintaining and migrating legacy services from on-premise to cloud infrastructure;
  • Defining and setting development, testing, release, update, and support processes for DevOps operation;
  • Monitoring and adjustment of processes during the entire software development lifecycle.

We offer:

  • Work in an international company;
  • Comprehensive health insurance, social guarantees;
  • Paid sports activities;
  • Fruits, cookies and great coffee;
  • Sponsored educational package;
  • Modern office environment in the centre of Riga;
  • Friendly team and career grown opportunities;
  • Fully subsidised parking near the office after the probation period;
  • Remote work during the COVID-19 pandemic.

Senior Azure DevOps engineer


Project description and requirements for Background to the assignment

The company provides Data Science support for chemistry product development and support R&D. This includes the design and development of production-ready web application to serve the developed data science model to the end-user and other things.

Therefore, the development requires a secure setup of Azure services according to an existing system architecture. To keep compliance with company's standards, the setup needs to be automated using Terraform and should follow Microsoft recommendations for security and networking. There is also a need for a proper test environment concept and deployment automation for the web application components according to the concept.

Consequently, we need an expert with sufficient expertise in connection with Azure Serverless technologies in a secure setup and their automated deployment, handling of test environment as well as logging and monitoring of serverless applications.

Backlog items will be assigned in Azure DevOps containing business requirements and acceptance criteria.

Workload based on Agile environment, 2 weeks sprints. With Sprint meetings once in two weeks and Daily meetings.


Automation of build and deployment of web app components based on Docker container and Azure serverless technologies

  • Staged deployment and test environment concept for App Service apps and Function App APIs
  • Concept for deployment and hosting of API specs
  • Concept for deployment and hosting of code documentation
  • Concept for logging and monitoring of serverless functions App Service apps and Function App APIs

Automation of Azure services provisioning based on Terraform

  • Setup of Azure App Service, Function App under consideration of Azure security recommendations and automation via Terraform
  • Setup of Cosmos DB under consideration of Azure security recommendations and automation via Terraform

Documentation of technical implementation which is subject to approval by the client.

Data engineer


Who are we?

The fintech startup working on the first large-scale e-wallet in region. We aim to provide people with simple and convenient alternative to cash.

Role Description

Data engineer will be responsible for improving and expanding our data capabilities:

· You will design and develop data applications in one of languages: Python, Scala, SQL

· Develop, customize and manage data integration tools, databases, warehouses, and analytical systems

· Design, build and maintain scalable data models that are clean, tested, and well documented

· Work closely with product teams and other stakeholders to desing and build data marts providing reliable and accurate data in a fast way

· Handle all our data pipelines and contribute towards our data strategy and its execution

Experience, Competencies and Skills Required

· 2+ years of experience as a Data Engineer building data pipelines and analytical data models

· At least 2 years of hands-on experience with Python, SQL. Knowledge of Scala is a plus

· Strong competencies in algorithms and software architecture

· Strong experience in real-time data processing and data ingestion

· At least 2 years of hands-on experience with Big Data systems like Hadoop, Spark

· Experience building data infrastructure using at least one major cloud provider, preferably AWS

· Knowledge of Terraform is a plus

· Knowledge of Scrum, Agile

· Advanced English, good Russian