Jobs DevOps

We are looking for a Senior DevOps Engineer to join our client's project and help build, migrate, and operate a secure and scalable cloud infrastructure.

This is an outstaff position, meaning you will work as a dedicated engineer directly on the client's project.

What You'll Do

• Build and maintain cloud infrastructure with GCP as the primary cloud platform
• Support cloud migration and modernization of existing infrastructure and workloads
• Design and maintain Infrastructure as Code using Terraform
• Build and improve CI/CD pipelines and implement GitOps practices
• Work with Kubernetes, Docker, and containerized workloads
• Improve cloud security, access management, secrets management, backup and disaster recovery
• Develop monitoring, logging, alerting, and observability solutions
• Support reliable and secure production environments
• Automate infrastructure and operational processes using Bash and/or Python
• Collaborate with developers and other engineering teams in a distributed environment

What We’re Looking For

• 5+ years of experience in DevOps, SRE, Platform Engineering, or Infrastructure Engineering
• Strong hands-on experience with GCP — this is a key requirement
• Practical experience with Terraform / Infrastructure as Code
• Strong knowledge of Kubernetes and Docker
• Experience designing and maintaining CI/CD pipelines
• Experience with GitOps tools and practices, such as ArgoCD or FluxCD
• Strong understanding of Linux and networking
• Experience with cloud security, IAM, secrets management, monitoring, backup, and disaster recovery
• Scripting skills in Bash and/or Python
• Experience working with production infrastructure
• Good spoken and written English
• Ability to work independently and take ownership of infrastructure-related tasks

Nice to Have

• Experience with AWS
• Experience with databases such as PostgreSQL, MongoDB, Redis, or RabbitMQ
• Experience with observability tools such as Prometheus, Grafana, Loki, or OpenTelemetry
• Experience with legacy-to-cloud or on-premise-to-cloud migrations
• Experience with AI/LLM infrastructure or AI-assisted development tools
• Experience with security scanning and DevSecOps practices

Working Conditions

• Outstaff position — dedicated work on the client's project
• Remote
• Full-time, Monday to Friday
• Working hours: 9:00 AM–6:00 PM
• Hourly payment
• Please specify your expected gross hourly rate when applying
• Vacation is initially unpaid
• After successfully completing a 6-month adaptation period on the project, there may be an opportunity to discuss joining the company's internal team
• In this case, the benefits package may include 1.75 paid vacation days accrued per completed month of work and 5 sick days per year

Hiring Process

1. HR Interview
2. Technical Interview with the Client
3. Final Decision & Offer

We're looking for an SRE / DevOps engineer to build the reliability layer for a platform that commands live power plants. No unified log pipeline, no dashboard anyone watches, no rehearsed restore - the app runs in production, the layer underneath it is a set of habits. You decide what the observability stack looks like, what an alert may wake a person up for, and how failover is designed and tested.

Second part is physical: with the Infra Lead, dispatch control room - workstations, UPS, local network, secured remote access to plants. Grafana in one tab, a rack in the other.

Must have

• 4+ years SRE / DevOps / systems engineering, Linux daily: services, systemd, storage, performance diagnostics
• Real experience with physical or VPS servers, not cloud consoles only - UPS, RAID, remote management. Cloud-only profile is an automatic no
• Cloud VMs: provisioning, patching, hardening, capacity planning, TLS, nginx
• Docker / Docker Compose in production: dev/staging/prod layouts, registry, zero-downtime deploys
• Observability you built yourself: Prometheus + Grafana or equivalent, log pipeline (fluent-bit / ELK class), and an alerting philosophy you can defend
• Redundancy you tested: PostgreSQL backup/restore and replication, Redis failover, measured recovery. You can describe a backup you personally restored
• Networking: WireGuard or similar, firewalls, DNS, TLS, diagnosing cloud ↔ office ↔ plant links
• CI/CD as code (GitHub Actions or similar), promotion through environments
• Bash + Python for automation
• English B2

About the Project

We are looking for an experienced DevOps Engineer with strong Python expertise to work on the core engine behind an AI assistant.

The platform processes customer requests within a regulated environment, with a strong focus on security, reliability, and performance.

Responsibilities

• Build and maintain AWS infrastructure as code using Terraform, Docker, and ECS
• Manage IAM, AWS Secrets Manager, encryption, security, monitoring, and logging
• Build and expose data through REST APIs
• Maintain a clean GitHub workflow, including branches, pull requests, and code reviews
• Write and maintain unit and integration tests using pytest
• Implement security scanning and support platform performance optimization

Requirements

• Solid cloud expertise, preferably with AWS
• Strong hands-on experience with infrastructure as code, preferably Terraform
• Experience with Docker and containerized environments
• Practical experience with IAM, AWS Secrets Manager, ECS, and encryption
• Hands-on experience setting up infrastructure security, monitoring, and logging in AWS
• Experience building and exposing data through REST APIs
• Strong knowledge of GitHub team workflows, feature branches, pull requests, and code reviews
• Experience writing automated unit and integration tests using pytest, including mocking and fixtures

• Experience with security scanning and platform performance

   

Nice to Have

• Experience in telecom, fintech, or a similar regulated industry
• Exposure to agentic systems, LLM orchestration, or retrieval-augmented generation (RAG)

Location: Poland (priority for candidates locally based in Poland)

We are looking for a Middle+/Senior DevOps Engineer to take ownership of the infrastructure and operational reliability of Talisa, an established e-commerce platform.

The primary focus of this role is to ensure the stability, availability, security, and predictable operation of our production and staging environments. Talisa is a mature product, so the role is less about building new infrastructure from scratch and more about maintaining and continuously improving an existing production environment.

You will be responsible for infrastructure maintenance and upgrades, monitoring and incident response, security patching, infrastructure automation, CI/CD, capacity and cost optimization, and reducing operational risk.

We value operational discipline, careful change management, automation, documentation, and proactive identification of reliability or security issues.

Key responsibilities

Infrastructure Management:

• Operate and maintain Talisa production and staging AWS environments, ensuring stability, performance, and availability.
• Plan and execute infrastructure upgrades with proper testing, rollback procedures, and documentation.

• Monitor capacity, backups, recovery readiness, and AWS costs.

   

Security Ownership:

• Own infrastructure security, including OS patching, hardening, and vulnerability remediation.
• Maintain protection against malicious traffic, bots, and DDoS attacks using CloudFront, AWS WAF, and related services.
• Support infrastructure security and compliance requirements.

Observability & Monitoring:

• Maintain monitoring, logging, dashboards, health checks, and actionable alerts.
• Investigate production incidents, perform root-cause analysis, and escalate application issues when needed.
• Improve alert quality and maintain operational runbooks.

Automation & Efficiency:

• Automate repetitive operational tasks using Bash/Python and CloudFormation.
• Maintain and improve CI/CD pipelines.
• Ensure infrastructure changes are documented and reproducible.

Team Collaboration:

• Work with development and QA teams on deployments, troubleshooting, and infrastructure changes.
• Prioritize planned infrastructure work alongside production and monitoring issues.

Requirements

• Experience: 4–6+ years in DevOps/SRE (Strong Middle/Senior).
• AWS: Strong hands-on experience with EC2, RDS/MySQL, VPC, CloudFront, WAF, IAM, CloudWatch, and S3.
• Linux & Docker: Strong production administration and troubleshooting skills.
• IaC & Automation: Experience with CloudFormation, Bash/Python, Git, and CI/CD.
• Security: Good understanding of infrastructure security, patching, access control, and DDoS/web protection.
• Operations: Experience with monitoring, incident response, backups, recovery, and safe production changes.
• Ownership: Proactive, disciplined, and focused on reliable, documented infrastructure.
• AI Tools: Comfortable using AI-assisted engineering tools.
• Communication: Strong communication skills; Intermediate+ English.

Technical Stack

• Cloud & IaC: AWS (EC2, VPC, ALB, Lambda, S3, CloudFront), CloudFormation, Docker.
• Main Platform: Magento2 (PHP).
• Databases: RDS (MySQL), ElastiCache (Redis), MongoDB.
• Observability: AWS CloudWatch, Route53 health checks, Graylog.
• Process: GitHub, GitHub Actions, JIRA/Confluence.

Work Schedule

8 hours per day, 5 days a week.

Sometimes it’s necessary to react to nightly alerts/outages.

What We Offer

• 100% Remote.
• Ownership: Direct influence on the observability and security/compliance of the project.
• Direct Access: transparent team collaboration.
• Stability: Competitive salary with long-term growth potential.

Функції:

·         техпідтримка (рівень L2+L3) та забезпечення розвитку (аналіз, проектування, впровадження, оптимізація) мереж та мережевих сервісів  Enterprise-рівня: LAN, WAN, WLAN WiFi, DATACENTER, всі різновиди VPN.

Вимоги:

·         Неповерхневі (на рівні, реально еквівалентному CCNP Enterprise/Routing&Switching + CCNP Security) знання механізмів та протоколів L2/L3 комутації, маршрутизації (BGP, OSPF, EIGRP), QoS, Network Monitoring/Logging/Troubleshooting/Management, відмовостійкості, автоматизації, забезпечення захисту мереж, та т.і.

·         Досвід роботи (від 4 років) з Cisco Catalyst (провідні та безпровідні мережі) та з Fortinet FortiGate (OSPF, BGP, створення, аналіз та оптимізація політик, функціонал Unified Threat Management, інспекція трафіку, IPS, SD-WAN, всі підтримувані різновиди VPN).

Режим роботи та особливі умови:

Офіс/гібрид

What You Will Do

• Advise teams on DevOps best practices, processes, and tools.
• Improve the overall Software Development Life Cycle (SDLC).
• Design, implement, and maintain monitoring, tracing, and logging infrastructure.
• Build and maintain CI/CD pipelines and supporting cloud infrastructure.
• Maintain and optimize custom-built systems, with scalability, reliability, and security in mind.
• Support the migration of services from GCP-hosted Kubernetes environments to AWS using serverless frameworks and architectures.
• Help establish and reinforce development best practices and deployment procedures.
• Create automation scripts for system deployment, monitoring, maintenance, and operational workflows.
• Support both cloud-based and on-premises or distributed systems.
• Produce clear and detailed technical documentation for systems, processes, and procedures.

• Promote continuous improvement across infrastructure, operations, and software delivery.

   

Requirements

• At least 3 years of professional experience working with AWS and/or GCP cloud services.
• At least 3 years of experience with technologies such as:
  • AWS Lambda or other cloud functions
  • Amazon Route 53
  • Amazon VPC
  • Amazon EC2
  • Pub/Sub messaging systems
  • Kubernetes
  • Serverless Framework
• At least 2 years of experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, AWS CodeBuild, and AWS CodePipeline.
• At least 2 years of experience with source-control platforms such as GitHub and AWS CodeCommit.
• At least 2 years of experience monitoring distributed systems, preferably with Datadog.
• Experience implementing secure Software Development Life Cycle practices.
• Strong scripting skills using PowerShell, Bash, or Node.js. Python experience is an advantage.
• Fundamental knowledge of Linux and Windows operating systems.
• Practical experience with Docker, Kubernetes, and REST APIs.
• Experience working with on-premises or distributed solutions.
• Solid understanding of ITIL principles and a proactive approach to continuous improvement.
• Ability to create accurate, detailed, and well-structured technical documentation.
• Strong problem-solving skills and a self-driven, hands-on working style.
• Passion for technology and the ability to influence technical decisions across software-development teams.

• Commitment to completing tasks with precision, accountability, and integrity.

   

Advantages

Experience with any of the following would be an advantage:

• AI or MLOps, including NVIDIA Jetson or other NVIDIA technologies
• Agile software-development methodologies
• Cloudflare services
• Helm
• Docker Compose
• Swagger or OpenAPI documentation
• SQL and NoSQL databases, including DynamoDB, MongoDB, and MySQL
• AWS or GCP professional certifications

Innovecs is a global digital services company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Collaboration Tech, and Gaming.

For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US, and a ranking of the best global outsourcing service providers by IAOP. Recently, Innovecs was honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing, won gold at the Employer Brand Management Awards, and was included in the Global Top 100 Inspiring Workplaces Ranking.

Our value to you:

• Flexible hours and remote-first mode,
• Competitive compensation,
• Complete Hardware/Software setup – anything you need for work,
• Open-door culture, transparent communication, and top management at a handshake distance,
• Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave,
• Access to our learning & development center: workshops, webinars, training platform, and edutainment events,
• Virtual team buildings and social activities.

If you feel like you’re the perfect match for this role, drop us your CV! 

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.
 

Requirements

Education & Experience:

• 5+ years of experience in DevOps roles with deep,
• Strong hands-on experience with Microsoft Azure,
• Hands-on experience with CI/CD pipeline development, maintenance, and improvement, preferably using GitLab Ultimate,
• Hands-on experience with Docker and Kubernetes (AKS & EKS),
• Proficiency in Infrastructure as Code (IaC), primarily using Terraform,
• Experience in monitoring, performance optimization, and system security,
• Excellent problem-solving skills,
• Cost-conscious approach to infrastructure and DevOps solutions,
• Proactive mindset: ability to identify gaps, risks, inefficiencies, and propose improvements,
• Strong ownership attitude and ability to work independently with minimal supervision.

Nice-to-Have Skills:

• Practical experience with AWS, especially in hybrid or multi-cloud environments,
• Advanced Cloud Security: Experience with cloud-native security tools, identity management, and implementing security best practices,

• MLOps Experience: Exposure to building or managing infrastructure for machine learning pipelines (e.g., Azure Machine Learning, AWS SageMaker, MLFlow, KubeFlow).

   

Responsibilities

• Design, build, and maintain secure, scalable, and resilient cloud infrastructure across Azure,
• Develop and automate CI/CD pipelines for application deployment using GitLab Ultimate,
• Manage and optimize containerized environments using Docker and Kubernetes (AKS/EKS),
• Implement and maintain Infrastructure as Code, primarily using Terraform,
• Monitor system performance, ensure high availability, and proactively address issues,
• Apply cloud security best practices, including identity management and threat detection,
• Continuously evaluate and integrate new tools and technologies to improve DevOps processes.

Blackthorn Vision is seeking a Middle/Senior DevOps Engineer for an outstaff project with SLB, a global technology company driving energy innovation. Founded in 1926 and headquartered in Houston, Texas, SLB has 100,000+ employees and operates in more than 100 countries, developing technologies and digital solutions for the energy industry.

You will work as part of an international team, collaborating with Blackthorn Vision specialists, client-side engineers, and management. We are looking for a self-driven team player with strong problem-solving skills, a commitment to quality, and a passion for delivering robust and maintainable solutions. Upper-Intermediate English or higher is required for effective day-to-day communication. The position follows a regular full-time working schedule aligned with the Ukrainian time zone.
 

Required Qualifications:

• Experience working with Azure Cloud and Azure DevOps.
• Hands-on experience with AKS, Helm, and FluxCD.
• Experience with Terraform and Ansible.
• Experience with Rancher and Harbor in on-premise environments.
• Strong knowledge of Linux and Linux Networking.
• Experience with GitLab.
• Experience working with Cassandra.
• Strong problem-solving and collaboration skills.
• Upper-Intermediate English or higher.

Nice to Have:

• Experience working with both cloud and on-premise infrastructure.
• Experience with infrastructure and deployment processes in large enterprise environments.

Responsibilities:

• Work on decoupling application pipelines and deployment processes.
• Support the technical separation of infrastructure, pipelines, and deployments.
• Contribute to the separation of application code and dependencies from the DevOps side.
• Support the development and maintenance of CI/CD pipelines and deployment processes.
• Collaborate with development and platform teams to ensure reliable application delivery.
• Contribute to building a foundation for future projects and deployments.

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

Project Description:

Monitoring and diagnostics system which fulfills both local and remote data access and analytics requirement, as well as local and remote
troubleshooting purpose.

Responsibilities:

-Analyze, design and implementing solutions for Edge using AWS greengrass components
-Building the code and logic required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python or programming languages.
-Building analytics solutions that provide valuable insights for clients and end users.
-Work in an agile project team which has specific goals and deliverables.
-Translate business demands into architecture requirements.
-Responsible for providing technical support and / or leadership in the creation and delivery of technology solutions designed to meet customers' business needs and, consequently, for understanding customers' businesses.
-Shape technical direction and technical strategies within the organization and for external customers.
-Guide the project team members on specific deliverables.

Mandatory Skills Description:

• Degree in Computer Science, IT, or similar field
• 6+ years of relevant working experience as a Devops Engineer or in a similar role
• Technical expertise with CI/CD
•Terraform and Infrastructure as Code.
•CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).
•Docker and Kubernetes.
•Python and/or Bash scripting.
•Monitoring and observability tools (CloudWatch, Grafana, Prometheus).
•Understanding of cloud security and networking.
• Understanding of Industrial IoT
• AWS, GreenGrass IoT - must
• Experience in real-time data processing systems
• Hands-on experience with SQL database design
• Great numerical and analytical skills

• Strong ownership, accountability, and committed to delivery deadlines
•Resilience
•Proactive and effective communication

Nice-to-Have Skills Description:

AWS certification
GreenGrass

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

Meet the YozmaTech

YozmaTech isn’t just another tech company - we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family - you’ll feel right at home with us.

Our client is an international technology company developing a multi-SaaS solution for infrastructure management and DevOps processes. The company serves over 100 clients worldwide, including some of the largest global corporations across various industries. Their product is focused on delivering high reliability, scalability, and security for infrastructure, as well as improving developer experience and automating CI/CD, monitoring, and cloud environment management.

The engineering team consists of around 30 specialists and managers distributed across different countries, including Israel, Dubai, Eastern Europe, Africa, and more. All teams operate in a unified global format, without strict location-based divisions. Special emphasis is placed on building modern cloud infrastructure (AWS, Kubernetes, Elasticsearch, MongoDB) and implementing best practices in DevOps and SRE.

The company values proactivity, independence, the ability to work in a multicultural environment, and adaptability to the fast-paced changes typical of startup culture. Modern tools and approaches are used in daily work, including the active use of AI tools to increase efficiency.
The project is focused on developing and supporting a platform that helps clients automate and optimize infrastructure management processes, integrate new services, and scale their solutions.

Key Requirements:
🔹 5+ years of experience in software or platform engineering in a cloud-native environment (AWS, GCP, or Azure), ideally within a startup or high-growth company;
🔹 Strong hands-on experience with Kubernetes, containers, and microservices;
🔹 Deep understanding of observability tooling and practices, including Prometheus, Grafana, and Elastic ELK stack);
🔹 Experience designing and maintaining CI/CD pipelines and internal developer tooling;
🔹 Solid experience with distributed databases and data stores (e.g., PostgreSQL, MongoDB, Elastic);
🔹 Familiarity with multi-tenant architectures, zero-downtime deployments, and cost-efficient infrastructure design;
🔹 Excellent collaboration and communication skills - comfortable working cross-functionally with product, engineering, and leadership teams;
🔹 Security and compliance awareness in cloud environments;
🔹 Background in operating high-availability systems or SaaS platforms;
🔹 Significant development experience with the following: Python, Go;
🔹 English - Upper-Intermediate or higher.

What you will do:
🔹 Build and contribute to a platform engineering team focused on scalable infrastructure,Kubernetes, CI/CD, observability, and developer experience;
🔹 Drive the evolution of CI/CD processes, ensuring fast, secure, and reliable delivery pipelines;
🔹 Champion observability standards and tooling to ensure system visibility and resilience;
🔹 Collaborate closely with product, security, and development teams to support scalable;
🔹 Multi-tenant architecture and operational efficiency;
🔹 Contribute to initiatives around infrastructure cost optimization, performance tuning and high availability;
🔹 Stay current with infrastructure trends and bring best practices into the teamʼs workflows.

Interview stages:
🔹 HR Interview;
🔹 Interview with Platform Team Leader (1 hour);
🔹 Technical interview with the Platform Team Leader and the Chief Architect (1.5 hour);
🔹 Interview with VP Engineering (45 minute);
🔹 HR Interview (45 minute);
🔹 Final interview with one of the company founders (if needed).

We're looking for a Senior Azure Platform / AI Engineer for a long-term engagement with an enterprise client. You'll work directly with the client's IT and Security teams in a sprint-based model. 

What you'll do:

• Design and maintain Azure infrastructure: AKS, Entra ID, Private Endpoints, VNets, Network Security Perimeters, multi-region
• Deploy and operate AI/ML workloads: Azure OpenAI, AI Foundry, RAG, multi-agent systems, vLLM, embedding pipelines
• Own IaC & CI/CD: Terraform, GitHub Actions, OIDC federation, Helm/Kustomize, secret management
• Data integrations: Microsoft Fabric, PostgreSQL, Python ETL, Power BI API
• Backend/frontend support: Python/FastAPI (async), React + TypeScript (Vite)

Stack:
Azure AKS Entra ID RBAC Key Vault APIM AI Search Azure OpenAI AI Foundry Azure ML Terraform GitHub Actions Helm Microsoft Fabric PostgreSQL FastAPI React TypeScript

Requirements:

• 5+ years of Azure platform engineering
• Strong communication with enterprise clients (English)
• Experience working with IT/Security stakeholders

Nice to have:

• Production AKS & Azure ML model serving
• Azure OpenAI in production
• Locked-down / regulated Azure tenants
• FDE or embedded team experience

Format: Remote, Europe, long-term , sprint model, start ASAP.

We’re looking for a Trainee DevOps Engineer to join a project in the financial domain, where infrastructure reliability, release quality, and operational stability directly impact business outcomes. In this role, you’ll work on deployment pipelines, Kubernetes-based environments, observability, and production support, helping development and QA teams deliver software safely, consistently, and with high quality. This position is ideal for candidates who have completed relevant training, internships, academic programs, or personal projects in DevOps and are eager to grow their expertise in a professional environment.
 

Required for this role

• Good understanding of version control systems such as Git
• Basic hands-on experience with automation scripting using Bash, PowerShell, or Python gained through personal, academic, or internship projects
• Familiarity with artifact management concepts and tools such as Nexus or Artifactory
• Basic knowledge of CI/CD pipelines and exposure to tools like Jenkins, GitLab CI, or CircleCI
• Understanding of software development fundamentals and familiarity with Java, Python, or Node.js ecosystems
• Basic knowledge of containerization using Docker and understanding of Kubernetes concepts
• Exposure to cloud platforms such as Azure, AWS, or IBM Cloud through coursework, training, personal projects, or internships
• Familiarity with monitoring and logging concepts and tools such as Prometheus, Grafana, or Azure Monitor
• Understanding of infrastructure automation and configuration management concepts; exposure to tools like Ansible, Chef, or Puppet is a plus
• Upper-Intermediate English (B2) for effective communication with international teams
• Strong motivation to learn, problem-solving mindset, communication, collaboration, and time management skills
   

Your responsibilities

• Assist in maintaining and improving deployment pipelines under the guidance of experienced DevOps engineers
• Collaborate with development and QA teams to support CI/CD processes and software delivery activities
• Help monitor application and infrastructure health using observability and monitoring tools
• Support troubleshooting of development, testing, and production environment issues
• Participate in release activities and post-deployment validation to ensure successful software delivery
• Contribute to automation initiatives aimed at improving development and operational efficiency
• Assist with infrastructure and configuration management tasks across different environments
• Create and maintain infrastructure, deployment, and troubleshooting documentation
• Continuously learn DevOps best practices, cloud technologies, containerization, and automation tools while contributing to team initiatives
   

What you get
 

Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities
   

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities
   

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops
   

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives
   

Your future responsibilities:

• Integrate security tools and practices into CI/CD pipelines (SAST, DAST, SCA, container scanning, etc)
• Implement security as a service in AWS and Kubernetes environments, enforce security policies across infrastructure and applications
• Implement integrations and perform DevOps tasks for authentication and authorization platforms, collaborate with Golang/Java developers
• Design, implement, and deploy scalable, reliable, and secure devops infrastructure
• Monitor and troubleshoot production systems to ensure optimal performance, low latency, and high availability. Implement and maintain monitoring, logging, and alerting systems
• Automate security checks and compliance validation in deployment workflows
• Own and maintain critical infrastructure and DevOps services end-to-end
• Contribute to technical documentation, security guidelines, and knowledge sharing
• Leverage AI tools and automation to accelerate development, troubleshooting, and security operations

Your skills and experience:

• Proficiency in managing and orchestrating containerized applications with Kubernetes (deployment, scaling, monitoring, security)
• Hands-on experience with Git, AWS, k8s, Vault, Helm, Prometheus, Grafana, PostgreSQL
• Experience with GitOps tools such as Argo CD, Flux, or similar
• Solid understanding of CI/CD pipeline implementation with integrated security scanning
• Knowledge of DevSecOps practices and shift-left security principles
• Experience with security scanning tools (Trivy, Snyk, SonarQube, Checkov, or similar)
• Experience with infrastructure-as-code tools (Terraform/Terragrunt)
• Understanding of container security best practices and image hardening
• Experience with secrets management solutions (HashiCorp Vault, AWS Secrets Manager, or similar)
• Strong problem-solving and troubleshooting abilities
• Solid understanding of Linux systems and networking fundamentals
• Proactive mindset with a sense of ownership and accountability

Nice to have

• Knowledge of OAuth 2.0, OpenID Connect, or similar authentication protocols
• Background in high-availability and secure system design
• Knowledge of network security, firewalls, and zero-trust architecture
• Experience automating security tasks with AI-powered tools or scripts
• Openness to using AI-assisted development tools

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral reward program for attracting new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional “maternity leave” for fathers, and financial assistance for parents upon the birth of children
• Comfortable working conditions: the possibility of a hybrid work format, offices equipped with shelters and generators, provision with modern equipment
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist or lawyer; discount program for sports and shopping; family days for children and adults; massage in the office
• Learning and development: access to over 130 online educational resources; corporate training programs, online library, mentoring program
• A great team: our colleagues are a community where curiosity, talent and innovation are welcomed. We support each other, learn together and grow. You can find like-minded people in over 15 professional communities, reading or sports clubs
• Career opportunities: we encourage advancement within the bank between functions
• Innovation and technology. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Andorid)Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, we develop expertise in AI and actively integrate it into processes
• Support program for defenders: we preserve jobs and pay the average salary to mobilized people. We have a support program for veterans, and the Bank’s veteran community is developing. We are working to raise awareness among managers and teams on the issues of veterans’ return to civilian life. Raiffeisen Bank is recognized as one of the best employers for veterans (Forbes)
  ______________________________________________________________
  Твої майбутні обов’язки: 
• Впровадження безпеки як сервісу в середовищах AWS і Kubernetes, забезпечення політик безпеки в інфраструктурі та застосунках
• Реалізація інтеграцій і виконання DevOps-задач для платформ автентифікації та авторизації, співпраця з розробниками Golang/Java
• Проєктування, впровадження та розгортання масштабованої, надійної й безпечної DevOps-інфраструктури
• Моніторинг і усунення несправностей у продакшн-системах для забезпечення оптимальної продуктивності, низької затримки та високої доступності; впровадження і підтримка систем моніторингу, логування та сповіщень
• Автоматизація перевірок безпеки та валідації відповідності у процесах розгортання
• Повна відповідальність за критичну інфраструктуру та DevOps-сервіси (end-to-end)
• Участь у створенні технічної документації, рекомендацій із безпеки та обміні знаннями
• Використання AI-інструментів і автоматизації для пришвидшення розробки, діагностики та операцій безпеки
• Твій досвід та навички:
• Впевнені навички керування та оркестрації контейнеризованих застосунків із Kubernetes (деплоймент, масштабування, моніторинг, безпека)
• Практичний досвід роботи з Git, AWS, k8s, Vault, Helm, Prometheus, Grafana, PostgreSQL
• Досвід роботи з GitOps-інструментами, такими як Argo CD, Flux або аналогами
• Ґрунтовне розуміння побудови CI/CD пайплайнів із вбудованим скануванням безпеки
• Знання практик DevSecOps і принципів shift-left security
• Досвід використання інструментів сканування безпеки (Trivy, Snyk, SonarQube, Checkov або аналогів)
• Досвід роботи з інструментами інфраструктури як коду (Terraform/Terragrunt)
• Розуміння найкращих практик безпеки контейнерів і харденінгу образів
• Досвід роботи з рішеннями для управління секретами (HashiCorp Vault, AWS Secrets Manager або аналогами)
• Сильні навички розв’язання проблем і діагностики
• Добре розуміння Linux-систем і основ мереж
• Проактивний підхід, почуття відповідальності та власності
• Буде плюсом:
• Знання OAuth 2.0, OpenID Connect або подібних протоколів автентифікації
• Досвід проєктування високодоступних і безпечних систем
• Знання мережевої безпеки, фаєрволів і архітектури zero-trust
• Досвід автоматизації завдань безпеки за допомогою AI-інструментів або скриптів
• Відкритість до використання інструментів розробки з підтримкою AI
• Пропонуємо те, що має значення саме для тебе: 
• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми, онлайн бібліотека, програма менторства
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid) Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, розвиваємо експертизу в AI та активно інтегруємо в процеси
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes)