Jobs Lviv, DevOps

Dear candidates, please note that this position requires office attendance from time to time, please apply only if you live in Lviv or consider relocation! 

About Logivations

Logivations is an international technology company headquartered in Munich, Germany, with a long-established team in Lviv.

We develop W2MO, a leading Digital Twin platform for planning and optimizing warehouse, production and supply chain processes. Our technology is used by more than 30,000 professional users worldwide.

Our software landscape includes:

· Digital Twin planning and optimization systems

· Real-Time Digital Twins connected to operational processes

· computer vision and tracking solutions

· autonomous mobile robots developed together with Pixel Robotics

· databases, services, interfaces and customer-specific installations

We are now working on a major engineering initiative: We want to automate almost all recurring deployment, configuration, update, maintenance and diagnostic processes around these systems.

Our long-term target is 95% automation.

Your Mission

We are looking for a Junior Software Engineer with a strong engineering mindset who enjoys turning complex technical processes into reliable software.

Today, some activities around deploying and operating our systems still require manual intervention: installing components, checking configurations, analysing logs, updating databases, validating services or resolving technical problems.

Your task will be to understand these processes and build software that performs them automatically.

This may include:

· command-line tools

· Python or Java services

· deployment tools

· APIs

· diagnostic utilities

· automated tests and health checks

· configuration management

· monitoring and recovery mechanisms

Where useful, we will also integrate modern AI technologies to analyse technical information, access documentation and assist with diagnosing or resolving unusual situations.

But the foundation of this position is software engineering and automation.

The Engineering Challenge

Automating the normal case is usually straightforward. Building automation that remains reliable when systems are not in the expected state is much more interesting.

For example:

· a service does not start

· a configuration contains an invalid value

· a database migration fails

· two software components use incompatible versions

· a network dependency is unavailable

· a customer installation differs from the expected setup

· an update succeeds partially but leaves one component in an inconsistent state

A robust automation system must detect these situations, collect the relevant information, identify what went wrong and determine the appropriate next step.

Sometimes the solution will be deterministic software logic. Sometimes the system will consult documentation or previous incidents. And in some situations, an AI model may help interpret logs, documentation or unfamiliar system states.

The engineering challenge is to combine these approaches into a system that is reliable, understandable, testable and safe to operate.

What You Will Work On

You will help automate processes such as:

· installation and deployment of software components

· software updates and version management

· configuration of customer systems

· pre-deployment and post-deployment validation

· database setup and migrations

· starting, stopping and checking services

· configuration validation

· log collection and analysis

· system health checks

· automated diagnostics

· error detection and recovery

· backup and recovery procedures

· automated testing after updates

· documentation and reporting of deployments

· identification and elimination of recurring manual processes

A typical project might start with an engineer explaining a manual deployment or troubleshooting procedure. You would then:

1. understand the technical process

2. identify inputs, dependencies and failure cases

3. define how the process can be automated

4. implement the necessary software

5. test it against normal and abnormal situations

6. improve it until human intervention is rarely required

What We Are Looking For

This position is well suited for a Junior Developer, but we are looking for someone with a solid technical foundation.

You should have:

· practical programming experience in Python, Java or a comparable language

· good understanding of software engineering fundamentals

· confidence working with existing code and unfamiliar systems

· understanding of data structures, APIs and basic software architecture

· experience using Git

· ability to analyse technical problems systematically

· interest in automation and systems engineering

· willingness to understand how software behaves outside the development environment

· good written and spoken English

A degree in Computer Science, Software Engineering, Computer Engineering, Mathematics or a comparable technical field is an advantage. Equivalent practical engineering experience is equally welcome.

We value good engineering judgement more than knowledge of a specific technology stack.

Particularly Important to Us

We are looking for someone who does not stop at: “It works on my machine.”

You should be interested in questions such as:

· What happens when an operation fails halfway through?

· Can the process safely be executed twice?

· How do we know whether the system is in the expected state?

· How can we detect an incorrect configuration before it causes a problem?

· What information do we need to diagnose a failure?

· Can the system recover automatically?

· How do we make the automation maintainable for other engineers?

This way of thinking is more important to us than already knowing every infrastructure technology we use.

Technical Knowledge That Is Helpful

Experience with some of the following is useful, but we do not expect a Junior candidate to know all of them:

· Linux

· Windows services

· Docker

· SQL

· PostgreSQL or Microsoft SQL Server

· REST APIs

· networking fundamentals

· CI/CD

· GitHub

· virtual machines

· PowerShell

· Bash

· monitoring and logging systems

You do not need to be an experienced system administrator or DevOps engineer.

Our team already has extensive knowledge about the systems themselves. Your role is to turn this knowledge into reliable automation.

Where AI Fits In

AI is one of the tools we will use, not the purpose of the position.

Modern language models are particularly useful when automation needs to work with information that is difficult to express as fixed rules. For example, they can help:

• interpret complex log output
• search and understand technical documentation
• classify unfamiliar errors
• retrieve information about a specific component
• compare the current system state with documented requirements
• suggest diagnostic steps
• identify similar previously solved incidents.

We therefore expect an interest in modern AI tools and the willingness to use them as part of the engineering solution.

Previous experience with LLM APIs, tool calling, agents, RAG or MCP is welcome, but not required. Strong programming and engineering skills are more important.

Who Will Fit This Role Particularly Well?

You may be a very good fit if you are the kind of developer who sees a repetitive technical process and immediately starts thinking about how it could be automated.

You enjoy understanding how systems work. You like debugging. You want to know why something failed instead of simply trying the same command again. You enjoy building tools that other developers can depend on.

And you like the idea that good engineering can eliminate hundreds of hours of repetitive technical work.

What Makes This Position Interesting

This is not a Junior Developer role where you will spend your first year making small changes to an isolated part of an application.

You will work across real software systems involving Digital Twins, Real-Time Digital Twins, databases, computer vision, industrial software and robotics.

You will learn how these systems are deployed and operated and then help redesign these processes through software.

The results of your work will be very tangible. If a deployment that previously required two hours of engineering work can later run automatically in ten minutes, you will see the impact directly.

And with a target of 95% automation, there is a substantial engineering challenge ahead.

What We Offer

· A technically challenging role with substantial responsibility even at Junior level

· Strong focus on practical software engineering

· Work across Digital Twins, Real-Time systems and robotics

· Direct access to experienced developers and technical experts

· The opportunity to understand complete software systems, not only individual application features

· Freedom to propose and implement better technical solutions

· Modern development and automation technologies

· The opportunity to use AI where it genuinely improves engineering processes

· Flexible working hours

· An international environment with teams in Lviv and Munich

· Long-term cooperation

· Attractive compensation appropriate to the position and your skills

· Direct cooperation with Logivations GmbH in Munich, Germany

Cooperation Model

We are looking for a Ukrainian software developer based in or around Lviv.

The cooperation is structured as a long-term B2B relationship with you as a Ukrainian Private Entrepreneur (FOP).

You will contract directly with Logivations GmbH in Germany.

There is no outsourcing or outstaffing company between you and Logivations.

You will work as an integrated member of our international team and cooperate directly with developers, technical experts and management in Ukraine and Germany.

How to Apply

Please send us:

1. Your CV or LinkedIn profile

2. A short description of your programming experience

3. GitHub links, university projects, personal projects or examples of software you have built, if available

4. A few sentences about a technically interesting problem you have solved

5. If you have already used AI for programming or automation, briefly tell us how

We are especially interested in candidates who can demonstrate that they like building, debugging and understanding software systems.

You do not need a long formal cover letter and you do not need to meet every technology requirement listed above.

If you have a strong engineering foundation, enjoy programming and want to automate complex real-world software processes, we would like to meet you.

Blackthorn Vision is seeking a Middle/Senior DevOps Engineer for an outstaff project with a global leader in energy technology. Founded in 1926 and headquartered in Houston, Texas, the company has 100,000 employees serving customers in more than 120 countries and develops software solutions for automation across the energy and industrial sectors.

Required Qualifications

• Hands-on expertise with Azure DevOps, Azure Cloud, Kubernetes, and Ansible.
• Strong experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins.
• Experience managing and supporting production-grade Kubernetes clusters and Operators
• Strong experience supporting cloud-native, microservices-based applications.
• Familiarity with Kafka, RabbitMQ, Redis, and distributed systems.
• Strong knowledge of observability stacks including Prometheus, Grafana, and Loki.
• Strong communication, collaboration, and problem-solving skills.
• Upper-Intermediate English level.

Preferred Qualifications

• Experience with Terraform or Bicep.
• Experience with GitOps tools such as ArgoCD.
• Docker
• OpenTelemetry
• ELK / OpenSearch
• Python Scripting
• Azure Security Services
• Service Mesh (Istio/Linkerd)
• Experience using AI-assisted tools such as GitHub Copilot, Microsoft Copilot, Cursor, or similar.

Key Responsibilities

• Design, develop, and maintain enterprise-grade CI/CD pipelines using Azure DevOps.
• Provision and manage infrastructure on Microsoft Azure Cloud.
• Deploy, manage, and troubleshooting applications running on Azure Kubernetes Service (AKS) and Kubernetes clusters.
• Develop, customize, and maintain Kubernetes Operators for application lifecycle management.
• Automate infrastructure configuration and application deployment using Ansible.
• Implement Infrastructure as Code (IaC) and DevOps best practices.
• Support and optimize Linux-based environments.
• Implement and maintain monitoring, logging, and alerting solutions.
• Collaborate with development teams to improve deployment reliability and release velocity.
• Troubleshoot production issues and perform root cause analysis
• Ensure security, scalability, availability, and performance of cloud infrastructure.

About:
We are looking for a Senior DevOps Engineer (Azure) to join a project focused on a clinical trial technology platform designed to digitize, streamline, and accelerate clinical trial operations across the full study lifecycle. The solution represents an end-to-end clinical trial management ecosystem that integrates multiple tools into one platform.
You will work across both backend and frontend, collaborating closely with cross-functional teams to deliver scalable, high-performance solutions and contribute to architectural decisions in a distributed, cloud-based environment.

What We’re Looking For:

• 5+ years of professional DevOps experience with a strong understanding of the software development lifecycle (SDLC)
• Hands-on experience creating and maintaining CI/CD pipelines for technologies such as .NET and Java
• Strong working knowledge of the Windows platform
• Hands-on experience with Kubernetes and Docker, including setting up enterprise environments and CI/CD pipelines
• Strong understanding of code management best practices, including branching, merging, and integration strategies
• Hands-on experience with Azure DevOps and a good understanding of cloud security architecture
• Solid experience with the Azure Cloud platform, including Application Gateway, API Management (APIM), Containers/Kubernetes, Docker, Azure Service Bus, Key Vault, Entra ID, App Registrations, Blob Storage, and related services
• Experience with Infrastructure as Code tools such as Terraform or CloudFormation
• Good understanding of databases, including relational databases and querying using joins
• Exceptional problem-solving, troubleshooting, and debugging skills
• Excellent communication skills and a strong team-oriented mindset
• Upper-Intermediate level of English or higher

Your Responsibilities:

• Setting up, improving, and remediating existing CI/CD processes
• Migrating enterprise workloads to Azure using industry-standard and proprietary methodologies
• Automating cloud deployments and building CI/CD pipelines to support cloud-based workloads
• Providing technical expertise and developing cloud computing and CI/CD capabilities
• Collaborating with development, QA, architecture, and other cross-functional teams to ensure efficient and reliable delivery
• Identifying opportunities to improve automation, scalability, reliability, and deployment efficiency
• Troubleshooting and resolving issues across CI/CD pipelines, cloud infrastructure, and deployment processes
• Staying up to date with the latest trends and developing expertise in emerging cloud technologies

Will Be a Plus:

• Experience in the healthcare or life sciences domain
• Familiarity with MLOps concepts and practices
• A degree in Computer Science or a related field, or equivalent practical experience
• Experience with scripting and build/automation tools such as Groovy, Python, Java, Bash, JavaScript, Maven, or Ant

We are looking for a Lead DevOps / Observability Engineer to lead the migration of the client's observability stack from New Relic and Datadog to Grafana, using technologies such as Prometheus, Loki, and Tempo.

This is a hands-on role combining:
- DevOps & platform engineering - deploying and configuring the new observability stack using AWS, Kubernetes, and Terraform.
- Application instrumentation - modifying application code to add or adapt metrics, logs, and traces.
- Migration & collaboration - rebuilding existing dashboards and alerts in Grafana and working with multiple engineering teams to ensure full monitoring coverage.

We are looking for someone who is comfortable working across both infrastructure and application code and can independently drive a cross-team observability migration.

Responsibilities:

• Lead the migration of monitoring, alerting, and dashboards from New Relic and Datadog to Grafana.
• Design and implement the target observability architecture (metrics, logs, traces) and the infrastructure-as-code (Terraform) needed to support it.
• Audit existing New Relic and Datadog dashboards, alerts, and integrations to build a complete migration inventory and ensure feature/coverage parity in Grafana.
• Make application-level code changes across services to add, adjust, or replace instrumentation (metrics exporters, logging, tracing libraries) as needed for the new stack.
• Work with AWS infrastructure, including EKS, Kubernetes, and Docker, to deploy and operate the new observability tooling.
• Configure AWS networking and access as needed to support the observability platform (VPCs, security groups, IAM).
• Contribute to CI/CD pipelines and deployment automation using GitHub Actions to support the rollout.
• Collaborate with development, platform, and infrastructure teams to coordinate the cutover from New Relic/Datadog to Grafana with minimal disruption.
• Identify and remediate any security issues (secrets, keys, dependencies) encountered in the course of this work.
• Document the new observability architecture, migration procedures, and dashboard/alert mappings.
• Use AI-assisted development tools, including Codex, to improve engineering productivity and delivery speed.

Requirements: 

• Strong hands-on experience with Grafana, including dashboard design, alerting, and data source configuration (e.g. Prometheus, Loki, Tempo, or similar).
• Practical experience migrating away from commercial observability platforms such as New Relic and/or Datadog.
• Full-stack development experience — comfortable reading, modifying, and instrumenting application code across front-end and back-end services, not just infrastructure.
• Solid experience with AWS in production environments, including EKS and Kubernetes.
• Practical experience with Docker and containerized workloads.
• Strong Terraform and infrastructure-as-code skills.
• Experience with GitHub Actions or comparable CI/CD tools.
• Ability to work across multiple teams, services, and codebases to coordinate a cross-cutting migration.
• Fluency with Codex or comparable AI-assisted coding tools.

Nica to have:

• Prior experience running a similar New Relic/Datadog-to-Grafana (or equivalent) observability migration end to end.
• Grafana-specific certifications or demonstrated community contributions (plugins, dashboards, etc.).
• Experience with the broader Prometheus/Loki/Tempo (LGTM) ecosystem.
• AWS certification, such as AWS Solutions Architect Associate/Professional.
• Experience with RDS and other AWS data services.
• Prior contract or consulting experience with clearly defined deliverables.
• At least an Upper-Intermediate level of English 

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable — and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale.

We operate a high-load programmatic infrastructure — processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant.

The opportunity

Do you want to work with patented AI technology and develop high-performance solutions? If so, we have the perfect job for you at LoopMe!

We are a global team of skilled engineers who develop and maintain real-time bidding platforms for leading advertisers worldwide. Leveraging technologies such as Java, Postgres, Clickhouse, Kafka, you will be instrumental in scaling performance, optimizing cloud infrastructure, and creating innovative features across our product portfolio. 

Our strong AI orientation extends beyond our products; we use enterprise tools like Claude Code Enterprise and Gemini Enterprise for internal automation, application development, infrastructure management, and optimization.

As the market leader in AI, LoopMe uses agile methodology to deliver product features at a fast pace. Join us and be a part of our mission to push the boundaries of what is possible in the advertising industry!

We're looking for a Software Engineer with experience designing, building and maintaining high-scale, big-data distributed systems. You'll work closely with a strong team of 16 DevOps engineers across the company to deliver a stable and highly scalable product.

What you'll do

• Collaborate on designing and setting up new features and system improvements.
• Manage and optimize cloud infrastructure on Google Cloud Platform (GCP).
• Managing, optimizing, and maintaining our diverse database ecosystem (10+ technologies).
• Designing and scaling our microservices-oriented architecture across numerous Kubernetes clusters spread across several continents.
• Update and maintain software processes and tools.
• Bring in current IT best practices to our setup.
• Work on reducing costs for the solutions we use.
• Drive automation and optimization initiatives across application development and infrastructure management using enterprise AI tools.

What you'll bring

Essential:

• 3+ years of experience in Cloud Infrastructure or Software Development.
• 3+ years of hands-on Kubernetes experience.
• 2+ years of experience with GCP, AWS, or Azure.
• Experience with scripting (Python, Bash, Go, or similar).
• Experience building and maintaining CI/CD pipelines.
• Experience with Infrastructure as Code.

Nice to have:

• Experience with high-scale distributed systems.
• Experience with Config Connector or Crossplane.
• Experience in infrastructure and cloud cost optimization.
• Knowledge of PostgreSQL administration.

What we offer

• Flexible working schedule
• 1 month of work-from-anywhere
• Annual performance bonus
• English classes
• LoopMe Gives Back
• Learning & development support

Project overview

The project focuses on building a modern observability platform for AI driven applications and autonomous agent ecosystems. The solution provides comprehensive tracing, metrics collection, logging, and monitoring capabilities across cloud based services, enabling reliable operations, performance analysis, and operational insights.

Position overview

We are looking for a Senior Observability Engineer with strong experience in OpenTelemetry, AWS observability services, and Python based instrumentation. You will design and implement observability solutions for AI powered applications and agent based systems, ensuring end to end visibility, monitoring, tracing, and telemetry collection across distributed environments.

Team

You will work with observability engineers, software engineers, AI engineers, cloud specialists, and platform architects. The team collaborates closely on designing scalable telemetry solutions, defining observability standards, and supporting production grade AI and cloud workloads.

Technology stack

Python, OpenTelemetry, AWS Distro for OpenTelemetry (ADOT), AWS CloudWatch, AWS X Ray, AWS AgentCore Observability, LangChain, W3C Trace Context, W3C Baggage Propagation, YAML, Git, CI/CD, Cloud Infrastructure
 

Responsibilities

• Develop and maintain observability solutions for cloud native and AI powered applications
• Implement OpenTelemetry instrumentation for Python services and distributed systems
• Design telemetry pipelines using AWS Distro for OpenTelemetry
• Configure and optimize metrics, logs, and tracing integrations with AWS CloudWatch and AWS X Ray
• Implement distributed tracing using W3C Trace Context and Baggage propagation standards
• Integrate and monitor LangChain based workflows and AI application components
• Design structured logging standards and telemetry data models
• Collaborate with engineering teams to define observability requirements and establish monitoring best practices
• Support performance analysis, troubleshooting, and incident investigation activities
• Contribute to the evolution of observability architecture for agent based systems and AI workloads

Requirements

• 3+ years of experience in observability engineering
• Experience implementing OpenTelemetry instrumentation for Python applications and services
• Experience with AWS CloudWatch including Metrics, Logs, and Structured Logs
• Experience integrating AWS X Ray for distributed tracing and performance analysis
• Strong understanding of telemetry concepts including metrics, traces, logs, and distributed observability
• Experience working with cloud environments and production systems
• Knowledge of W3C Trace Context and Baggage propagation standards
• Experience working with source control systems and collaborative development practices

Nice to have

• Experience with LangGraph or Strands agent frameworks
• Knowledge of OpenTelemetry GenAI SIG semantic conventions
• Experience configuring AWS Distro for OpenTelemetry collectors and export pipelines
• Familiarity with AWS AgentCore Observability capabilities
• Experience supporting observability for AI applications, agentic systems, or LLM powered solutions
• Knowledge of cloud native monitoring and distributed systems architectures

Ми шукаємо DevOps Engineer, який прагне працювати в динамічному середовищі та розділяє цінності взаємної довіри, відкритості та ініціативності.

ПриватБанк — є найбільшим банком України та одним з найбільш інноваційних банків світу. Займає лідуючі позиції за всіма фінансовими показниками в галузі та складає близько чверті всієї банківської системи країни.

Ми прагнемо знайти цілеспрямованого професіонала, який вміє працювати в режимі багатозадачності, орієнтованого на якість та результат.

Основні обов’язки:

- Експлуатація інформаційних систем банку та забезпечення їх стабільного функціонування

Основні вимоги:

- Вища освіта (бажано технічна)

- 2+ роки досвіду адміністрування ОС Linux (CentOS / Redhat, тощо)

- Досвід використання систем розгортання інфраструктири (Terraform,AWS CloudFormation) та розуміння принціпів Iac ( Infrastructure as Code)

- Досвід використання Git

- Вміння користуватися скриптовими мовами програмування (Python, Bash, JScript, тощо)

- Досвід автоматизації з використанням систем управління конфігураціями (Ansible, Puppet, Chief, тощо)

- Досвід використання систем оркестрації (Kubernetes, EKS , ECS)
- Досвід підтримки докеризованих додатків

- Досвід використання aws хмарних сервісів

- Досвід роботи з системами моніторингу (Prometeus, Grafana, AWS CloudWatch)

- Розуміння основних принципів роботи Nginx

- Досвід роботи з java-додатками

- Знання та досвід використання хмарних провайдерів (GCP, Azure) буде перевагою

Своїм співробітникам ми пропонуємо:

- Роботу в найбільшому та інноваційному банку України

- Офіційне працевлаштування та 24+4 календарних дні відпустки

- Конкурентну заробітну плату

- Медичне страхування та корпоративний мобільний зв’язок

- Корпоративне навчання

- Сучасний комфортний офіс

- Цікаві проєкти, амбіційні задачі та динамічний розвиток

- Дружній професійний колектив та сильну команду