Jobs DevOps

We’re looking for a Part-time DevOps Engineer who can support and improve our infrastructure, help stabilize deployment processes, and make development workflows faster and more reliable. This role is focused on maintenance and troubleshooting of existing systems rather than building new architecture from scratch.

Key Responsibilities

• Infrastructure Support: Maintain and optimize cloud infrastructure, primarily on AWS (EC2, S3, Lambda) and support deployment environments managed via Coolify.
• Build Stabilization: Diagnose and resolve build failures related to Payload CMS, MongoDB, and Node.js.
• CI/CD Management: Assist in maintaining and fixing CI/CD pipelines (GitHub Actions, GitLab CI, etc.) to ensure smooth deployments.
• Access & Security: Manage user permissions, IAM roles, and environment security.
• Monitoring & Logs: Monitor system performance, manage logs, and assist in rapid incident resolution.
• Team Collaboration: Work closely with developers to hotfix infrastructure-related blockers as they arise.
•  

Requirements

• 1.5+ years of hands-on experience as a DevOps / Cloud / System Engineer.
• Deployment platforms: Experience working with Coolify or similar self-hosted deployment platforms.
• Strong AWS experience: Practical production-level usage of EC2, S3, and IAM is a must.
• Problem-solving mindset: Proven ability to fix failed builds and debug infrastructure issues.
• Tech stack: Understanding of Node.js runtime environments and MongoDB; experience with Payload CMS will be a strong plus.
• Containerization: Solid experience with Docker.
• CI/CD tools: Familiarity with GitHub Actions, GitLab CI, or similar.
• Availability: Ready to dedicate 2–4 hours daily to handle operational tasks and urgent fixes.
• English: Intermediate level, comfortable for technical communication.

Work Format

Engagement: Part-time only (strictly 2–4 hours per day).

Focus: Support and optimization of existing production environments.

As a DevOps Engineer, you will get an opportunity to join a mature and senior team that is developing software for high-tech medical devices. The scope of our technical domain involves a comprehensive range of key functions for the medical industry with features such a robotic surgery system and 3D visualization. Our organization is considered as technical excellence, so we are paying special attention to the technical challenge and motivation of our team members

Requirements

• CI/CD Expertise: Deep understanding of CI/CD principles. Hands-on experience with Jenkins (including Groovy/Shared Libraries) and GitHub project management. Proven ability to debug complex build failures and distinguish between infrastructure issues and code errors.
• Infrastructure as Code & Configuration: Strong experience with Ansible (mandatory) and Terraform for automating infrastructure and server configurations.
• Cloud Platforms: Proficiency in AWS ecosystem, specifically EC2, S3 (lifecycle and versioning), VPC, IAM, and CloudWatch.
• Containerization: Expertise in Docker (writing optimized Dockerfiles, managing build images, and registry orchestration).
• Artifact Management: Experience with JFrog Artifactory, including repository management, dependency caching, and proactive monitoring of license usage.
• Linux Administration: Advanced skills in Linux (Ubuntu/Debian) system administration for both on-premises and remote server environments.
• Build Systems: Solid experience with CMake and C++ build toolchains. Familiarity with managing package dependencies (e.g., Conan).
• Testing Integration: Experience enabling unit and functional test frameworks within automated pipelines to ensure code quality.
• English: upper-intermediate.

Nice to Have (Optional & Plus):

• Embedded & RTOS: Familiarity with Real-Time Operating Systems, specifically QNX. Experience automating the build and publication of OS images is a significant plus.
• Automation Scripting: Strong coding skills in Python or Bash for developing custom DevOps tools and automating routine tasks.
• Monitoring & Observability: Experience setting up and maintaining Prometheus and Grafana dashboards for infrastructure health and cost tracking (AWS Billing).
• Infrastructure Security: Knowledge of vulnerability scanning for build images and general infrastructure hardening (Security Compliance).
• Networking Protocols: Familiarity with DDS (Data Distribution Service) or similar communication protocols used in robotics/distributed systems.
• Advanced Tools: Experience with Packer for system image generation or Rclone for managed cloud backups.

Job responsibilities

• CI/CD Pipeline Maintenance & Reliability (Top Priority): Ensure the continuous operation of CI/CD pipelines. Proactively investigate and resolve failures in nightly builds and PR builds, distinguishing between infrastructure issues and developer-driven errors.
• Infrastructure & Service Administration: Manage and maintain on-premises, remote, and SaaS servers and services to ensure high availability and performance of the development environment.
• CI Infrastructure Monitoring & Security: Monitor Jenkins, Artifactory, and Docker build images for necessary version updates and security vulnerabilities. Perform proactive patching and license management for all CI-related tools.
• Build & Release Engineering: Develop and maintain build scripts for all source code. Automate complex build processes, such as QNX OS image generation, and manage the end-to-end release process.
• Automated Testing Integration: Enable and support unit and integration tests within the CI/CD pipelines to ensure code quality and system stability.
• DevOps Support & Troubleshooting: Act as the primary point of contact for build-related issues on DevOps channels, providing timely support for developers and unblocking milestone-specific tasks.
• Documentation & Knowledge Management: Create and maintain comprehensive DevOps documentation, including configuration management, compliance standards, and the DevOps Confluence knowledge base.
• Cross-functional Collaboration: Partner with robotics and development teams to understand package requirements, provide technical guidance, and support the integration of new dependencies into the workflow.

About Digis:
Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise solutions, and AI-powered platforms worldwide. We ensure transparency, stability, and professional growth opportunities for all our team members.

About the Project:
A leading digital agency providing bespoke website design, technology solutions, and dynamic marketing strategies to Luxury Hotel Brands worldwide. We work strategically with hotels, understanding their ambition, and we work with them to maximize their direct booking strategy. Our difference is the combined optimization of Strategic Planning, Technology, and Service across the complete customer journey that powerfully boosts results. The head office is in Galway, Ireland, with a sales office in London and a development team in Tenerife.
The Team: CTO, Head of Engineering, Dev Team, Scrum Master (from Digis), Manual QA, AQA

Requirements:

• 5+ years of DevOps professional experience.
• 3+ years of Azure experience.
• 2+ years of Terraform or Bicep experience.
• Upper-Intermediate level of English

Project Advantages:

• Lead DevOps for luxury travel tech. You will own the Azure platform behind a new booking engine used by luxury hotel brands, where reliability and polish directly impact revenue and reputation.
• Build a next-gen foundation from scratch. New platform + data services, with the chance to set standards for automation, security, observability, and documentation from day one.
• IaC-first, clean environments. Terraform/Bicep for reproducible Azure subscriptions, networking, identities, and permissions. No snowflakes, no guesswork.
• “Serious” CI/CD for confident releases. FE/BE/API pipelines with automated tests, security scans, performance checks, and release gates.
• Security and global performance are core. WAF/firewalls, certs, secrets, identity controls, plus CDN strategy and performance budgets for worldwide customers.
• Observability that prevents fire drills. Logs, metrics, tracing, dashboards, alerting thresholds, and runbooks to ensure incidents are predictable and resolved quickly.
• Automation that makes the whole team faster. Automated setup, deployments, DB migrations, rollbacks, and internal tooling that removes friction for engineers.
• Direct influence on leadership. Work closely with CTO/engineering/QA, and raise engineering standards across the org.

If you’re interested in this opportunity, please let me know, and I’ll send you more information. I look forward to hearing from you!

About the Role

We're looking for a hands-on Senior DevOps Engineer to own our entire cloud infrastructure on AWS and drive engineering velocity through world-class CI/CD pipelines. You'll be the go-to person for reliability, scalability, security, and developer experience across our high-traffic e-commerce platform handling millions of transactions monthly.

You'll work directly with engineering and product teams to ensure infrastructure scales predictably during peak traffic (flash sales, holidays), maintaining 99.9%+ uptime while keeping costs optimized.

Overview

• Department: Engineering / Infrastructure
• Reports to: CTO / VP Engineering
• Location: Remote (EU/US timezone preferred)
• Experience: 4–8 years in DevOps / Platform Engineering
• Employment: Full-Time

Core Stack

AWS · Terraform · GitHub Actions · Docker · Kubernetes (EKS) · PostgreSQL/Aurora · Redis/ElastiCache · CloudFront · Datadog · ArgoCD

Key Responsibilities

AWS Infrastructure

• Architect, provision, and maintain production AWS infrastructure across multi-AZ, multi-region setups using Terraform
• Manage and optimize ECS/EKS, RDS Aurora, ElastiCache, S3, CloudFront, ALB, Route 53, WAF, SQS/SNS
• Design and enforce VPC architecture, security groups, IAM roles following least-privilege principles
• Implement auto-scaling strategies for flash-sale traffic spikes (EC2 ASGs, ECS task scaling, Lambda concurrency)
• Own infrastructure costs — right-sizing, reserved instance planning, Savings Plans analysis
• Manage secrets and configuration via AWS Secrets Manager and Parameter Store

CI/CD & Developer Experience

• Design and maintain end-to-end CI/CD pipelines (GitHub Actions / GitLab CI) for microservices, frontend, and mobile backends
• Implement blue/green and canary deployments with automated rollback triggers
• Build reusable pipeline templates and shared actions to accelerate developer velocity
• Manage multi-environment promotion workflows (dev → staging → production) with environment-specific gating
• Maintain Docker build pipelines with layer caching, vulnerability scanning (Trivy/Snyk), and ECR lifecycle policies
• Implement feature flag infrastructure for zero-downtime releases

Kubernetes & Container Orchestration

• Administer EKS clusters: node groups, cluster upgrades, add-on lifecycle (CoreDNS, CNI, cluster-autoscaler)
• Design Helm chart templates and ArgoCD manifests for all services
• Implement HPA, VPA, and KEDA for event-driven scaling
• Manage ingress controllers (AWS ALB / NGINX) and certificate management (cert-manager, ACM)
• Enforce resource quotas, network policies, and pod security standards

Observability & Reliability

• Own the full observability stack: metrics (Datadog / Prometheus + Grafana), logs (OpenSearch / CloudWatch), traces (X-Ray / Jaeger)
• Build dashboards and SLO/SLA alerting for critical e-commerce flows (checkout, payment, inventory)
• Lead incident response, runbook creation, and post-mortem culture
• Implement chaos engineering to proactively identify reliability gaps
• Define and track error budgets, MTTR, and deployment frequency as core KPIs

Security & Compliance

• Implement and maintain AWS GuardDuty, Security Hub, Config Rules, Inspector
• Manage SSL/TLS lifecycle, WAF rule sets, and DDoS mitigation via AWS Shield
• Conduct regular security reviews and remediate findings from automated scanning
• Ensure PCI-DSS readiness for payment infrastructure; support SOC 2 audit evidence collection
• Implement secrets rotation, KMS encryption at rest, and encryption in transit

Database & Data Infrastructure

• Manage RDS Aurora PostgreSQL: parameter tuning, read replicas, failover testing
• Administer ElastiCache Redis clusters for session storage and catalog caching
• Own backup strategies, PITR configuration, and DR runbooks
• Collaborate with engineering on connection pooling (PgBouncer/RDS Proxy) and schema migrations

Disaster Recovery

• Design and maintain RTO/RPO targets; conduct quarterly DR drills
• Implement cross-region replication for S3, RDS, and ElastiCache
• Maintain IaC for rapid environment recreation; document runbooks for all critical failure scenarios

Requirements

Must-have:

• 4+ years of hands-on DevOps/SRE/Platform Engineering in production e-commerce or high-traffic SaaS
• Deep AWS expertise — Solutions Architect or DevOps Engineer certification (Professional level preferred)
• Strong Terraform proficiency: module design, state management, Atlantis or Terraform Cloud
• Production EKS experience: cluster operations, Helm, GitOps with ArgoCD or Flux
• CI/CD pipeline expertise with GitHub Actions, GitLab CI, or equivalent
• Solid scripting in Bash and Python
• Docker multi-stage builds, image optimization, and container security scanning
• Strong networking fundamentals: VPC design, subnetting, routing, DNS, load balancing, CDN
• Observability experience: Datadog, Prometheus/Grafana, or equivalent
• Production PostgreSQL and Redis management

We are building a production-grade AI-driven SDLC platform on AWS, integrating Bedrock, enterprise knowledge bases, agent orchestration, and QuickSuite-based UI flows.
We are looking for a Principal DevOps Engineer who will own the cloud architecture, infrastructure automation, security posture, and reliability of the AI platform.
This is a hands-on technical leadership role. You will define and implement the production foundation on which AI agents and orchestration services operate.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

Requirements

• 8+ years DevOps / Cloud Engineering experience
• 6+ years deep AWS architecture experience
• Strong Terraform expertise (modules, state management, multi-env)
• Deep knowledge of:

– Lambda

– API Gateway

– Step Functions

– S3

– IAM

– CloudWatch

– VPC networking

• Experience designing secure multi-account AWS environments
• CI/CD pipeline architecture experience
• Infrastructure security hardening experience
• Experience deploying distributed production systems
• Experience with ECS or EKS
• Strong understanding of:

– AI/ML production infrastructure

– Data pipelines

– RAG system infrastructure requirements

• Experience integrating AWS Bedrock or other enterprise LLM services
• Strong cost optimization mindset
• Excellent architecture documentation skills

Nice to Have

• Experience supporting LLM tool backends or MCP server hosting
• Experience with OpenSearch or vector database infrastructure
• Experience with QuickSuite or enterprise workflow platforms
• FinOps certification or formal cost governance experience
• SOC2 / HIPAA / enterprise compliance background
• Experience in regulated industries

Job responsibilities

• Design and own AWS cloud architecture (multi-account, prod/non-prod isolation)
• Build infrastructure using Terraform (modular, reusable, environment-aware)
• Architect and implement:

– AWS Lambda services

– API Gateway

– Step Functions

– Event-driven patterns (EventBridge, SQS, SNS)

• Design secure Bedrock integrations (private networking, IAM, VPC endpoints)
• Architect knowledge base storage (S3, OpenSearch, vector storage infra)
• Design networking topology (VPCs, private subnets, endpoints, routing)
• Implement CI/CD pipelines (GitHub Actions, GitLab CI, or similar)
• Implement containerized services (ECS or EKS where required)
• Establish observability stack (CloudWatch, tracing, structured logs)
• Implement secrets management (Secrets Manager, KMS)
• Define IAM least-privilege architecture
• Implement DevSecOps and secure SDLC standards
• Define SRE practices (SLAs, SLOs, monitoring, alerting)
• Implement cost governance and FinOps practices
• Support AI engineers in productionizing model services and tool backends
• Ensure system scalability, reliability, and auditability

We work with iGaming operators of all sizes to help them expand into new markets or strengthen their existing brands. As a casino software company, we provide solutions that help build outstanding brands and achieve business goals. Now, we are looking for a DevOps Engineer to join our team.
 
What will be your responsibilities:
 

• Optimization of server technologies, such as Nginx, PHP-FPM, MySQL, and Redis for high-load projects;
• Configuring and managing firewalls such as iptables, UFW, VPN, and reverse proxy servers;
• System monitoring and problem detection using APM (New Relic) tools and log analysis;
• Deep understanding of CI/CD principles and practices;
• Working with containerization via Docker.

 
What we expect from you:
 

• Understanding and experience with Linux (Debian, Ubuntu);
• Experience with AWS cloud services, including EC2, RDS, Autoscaling group, etc;
• Knowledge of MySQL databases, as well as confidence in working with Redis, Jenkins, GitHub/GitLab;
• Confident work with Cloudflare services.

 
What we offer:
 

• Working hours: 09:00/10:00 to 17:00/18:00 (Kyiv time) (Mon-Fri);
• Remote work format;
• Timely payment of wages and official employment;
• A friendly team and a pleasant atmosphere without pressure, stress, and other negative things.

 
We believe in the importance of unlocking the inner potential of each team member, and we have an open and democratic system of work organization.
 
We are waiting for you on our team!

Job Description

Must have:

• Strong hands-on experience with AWS cloud platform, including services such as ECS (Fargate), Lambda, API Gateway, DynamoDB, ElastiCache, OpenSearch, VPC networking, and AWS Security Hub
• Deep experience with Infrastructure as Code using Terraform, including designing reusable modules and managing multi-environment, multi-region infrastructure
• Strong experience designing and maintaining CI/CD pipelines (GitLab CI)
• Strong scripting and automation skills using Python / PowerShell / Bash
• Experience implementing automation-driven infrastructure and deployment processes
• Experience implementing GitOps or automated infrastructure lifecycle management
• Strong knowledge of Git workflows and collaborative development practices
• Experience implementing security and compliance controls in cloud infrastructure and CI/CD pipelines
• Ability to design secure, scalable cloud infrastructure platforms with security embedded by default

Nice to have:

• Experience with Datadog monitoring and observability platform
• Experience working with multi-account AWS environments
• Knowledge of Linux and Windows environments
• Experience integrating cloud security tooling (Orca Security or similar)
• Experience designing cloud governance frameworks, guardrails, and security policies
• Experience designing infrastructure governance and guardrails
• AWS or Terraform certifications

Job Responsibilities

Platform Engineering

• Design and develop automation frameworks for provisioning, deploying, and managing cloud infrastructure
• Build and maintain reusable Terraform modules and shared infrastructure components
• Ensure infrastructure modules and automation frameworks include security controls, secure defaults, and compliance guardrails
• Develop, improve and standardize CI/CD pipelines and deployment automation across services and environments
• Develop self-service infrastructure capabilities that allow engineering teams to provision environments and services through automation
• Identify and eliminate manual operational processes through automation and platform capabilities

Developer Enablement

• Work closely with development teams to improve deployment workflows and development lifecycle efficiency
• Enable teams through automation, tooling, and self-service infrastructure capabilities

Platform Reliability & Observability

• Improve platform monitoring, observability, and operational visibility using tools such as Datadog
• Ensure security and reliability best practices are integrated into infrastructure and deployment automation

Department/Project Description

GL Healthcare Division Program is looking for a DevOps Engineer to join the Reliability Engineering team responsible for the mission-critical medical data processing systems infrastructure development and operation.

We have a trusted relationship with the Client, a multinational MedTech corporation with which we have been cooperating for over 20 years.

Our projects is to develop and support the different software products in domains: logistic, ecom, big data, ML, etc. Also we in progress on global migration from large on-prem to native AWS services use progressive DevOps/SRE approaches. This is a great opportunity to join and build new solutions for Ukraine business. 
 

Responsibilities 

• Building software services for DevOps, ITOps & customer support teams.  
• Patching up support escalation cases.  
• Making on-call rotations and processes the best they can be.  
• Documenting share-ready knowledge.  
• Conducting post-incident reviews that help.  
• Delivering solutions that leverage the best automation tools on offer.  
• Maintainability mission-critical projects  
• Participation in bootstrap projects 
   

Requirements 

• Ability to manage multiple projects simultaneously; 
• Experience with GitLab; 
• Experience with Continuous Integration; 
• Experience in AWS; 
• Experience with Azure AD; 
• Experience with terraform; 
• Experience with AWS cdk; (will be a plus) 
• Eager to take responsibility, accountability and ownership of systems and processes; 
• Experience using Atlassian products: Jira, Confluence 
• Experience using PagerDuty or Service Management(OpsGenie) 
• 3+ years of industry experience; 
• Expert in using REST and SOAP API’s; 
• Knowledgeable of securing data; understands PGP, SSH, OAuth, SFTP, HTTPS, SFTP; 
• Basic FinOps experience(will be a plus) 
• Knowledgeable of OWASP Top 10 

Technologies that we use 

• AWS Cloud  
• ECS, EKS, Kubernetes, Prometheus, Grafana 
• GitLab, Teamcity 
• Terraform and AWS CDK 
   

We offer 

• The opportunity to work on a internal multiple projects. 
• Very skilled teammates and positive atmosphere  
• We are not tied to the office, willing to work remotely. 
• Health insurance. 
• Compensation of sports clubs and foreign language schools. 
• Internal training (IT and not only); 

Our project focuses on building and operating a scalable MLOps platform based on Kubeflow and KServe, enabling end-to-end machine learning workflows — from experimentation to production inference.  

The platform is deployed on Kubernetes and integrates modern DevOps/SRE practices, including automation, observability, and reliability engineering. We are actively evolving the system towards cloud-native architectures with a strong focus on performance, scalability, and cost efficiency. 

This is a great opportunity to work on production-grade ML infrastructure, influence platform design, and build reliable solutions for real business needs. 

Responsibilities 

• Building software services for Data Scientists, Data Engineering an Developer teams.  
• Patching up support escalation cases.  
• Making on-call rotations and processes the best they can be.  
• Documenting share-ready knowledge.  
• Conducting post-incident reviews that help.  
• Delivering solutions that leverage the best automation tools on offer.  
• Maintainability mission-critical ML services 
• Participation in bootstrap new ML teams/projects 
   

Requirements 

• Experience with GitLab; 
• Experience with Continuous Integration; 
• Experience in AWS; 
• Experience with Azure AD (authentication understanding); 
• Experience with terraform; 
• Experience with ML workflows (will be a plus) 
• Experience with maintaining and/or developing AI agents (will be a plus) 
• Eager to take responsibility, accountability and ownership of systems and processes; 
• Experience using Atlassian products: Jira, Confluence 
• Experience using Service Management(OpsGenie) or PagerDuty 
• 3+ years of industry experience; 
• Expert in using REST and SOAP API’s; 
• Knowledgeable of securing data; understands PGP, SSH, OAuth, SFTP, HTTPS, SFTP; 
• Basic FinOps experience(will be a plus) 
• Knowledgeable of OWASP Top 10 

Technologies that we use 

• AWS Cloud  
• ECS, EKS, Kubernetes, Prometheus, Grafana, Kubeflow, ArgoCD, Kyverno 
• GitLab 
• Terraform 
• Kustomize/Helm 
   

We offer 

• The opportunity to work on a big and scalable MLOps Platform. 
• Very skilled teammates and positive atmosphere  
• We are not tied to the office, willing to work remotely. 
• Health insurance. 
• Compensation of sports clubs and foreign language schools. 
• Internal training (IT and not only); 

Intetics Inc., a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for Site Reliability Engineer to work with one of our projects.

We are building the infrastructure layer for modern AI inference: a globally distributed platform designed to deliver scalable, cost-efficient, and reliable access to GPU compute.

Our platform includes globally distributed control planes running on AWS, a large distributed fleet of GPU inference nodes across multiple GPU providers, and the networking systems that connect everything into a reliable, high-performance production platform. We use Kubernetes to orchestrate inference workloads and an open-source observability stack built around Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry.

The control plane is relatively simple and primarily runs on EKS, with MySQL on AWS and a small set of supporting services. The more complex part of the platform is the GPU side: hosts are spread across providers and are often operated more like distributed on-prem infrastructure than traditional cloud services.

Role

We’re hiring an SRE / DevOps / Infrastructure Engineer to help scale and operate the core infrastructure behind our growing inference platform. This is a hands-on role for someone who wants to work on hard infrastructure problems across networking, Kubernetes, reliability, observability, and production operations. You’ll join a small, high-impact infrastructure team that is currently two engineers, with plans to grow to 4–5 by the end of the year.

What you’ll do

·      Build, operate, and improve the infrastructure powering the distributed inference platform

·      Own reliability, scalability, and operational excellence across AWS-based control planes and our multi-provider GPU fleet

·      Design and maintain the networking layer connecting control planes, Kubernetes clusters, and geographically distributed GPU hosts

·      Operate and improve Kubernetes-based inference orchestration, primarily on EKS

·      Manage deployments and infrastructure changes using Helm, FluxCD, and Terraform

·      Improve observability across the platform using metrics, logs, traces, dashboards, and alerting built on Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry

·      Tune alerts, improve runbooks, and strengthen operational readiness as the system scales

·      Respond to production issues, perform root cause analysis, and implement durable fixes

·      Work closely with engineers across time zones using clear asynchronous communication and handoff practices, especially through Slack

·      Help expand Europe-based infrastructure coverage to support sustainable operations outside US business hours.
 

Requirements

·      5+ years of experience in SRE, DevOps, platform engineering, or infrastructure engineering

·      Strong production experience with networking and Kubernetes

·      Experience operating AWS infrastructure in production, especially EKS

·      Strong hands-on experience managing Linux hosts, clusters, and distributed systems in environments that are not fully abstracted by a major cloud provider

·      Experience with Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry

·      Experience with deployment and GitOps workflows using tools such as Helm and FluxCD

·      Experience with infrastructure as code, ideally Terraform

·      Familiarity with alert tuning, runbook development, and practical incident management in production systems

·      Strong operational judgment: able to troubleshoot independently, respond calmly to incidents, and improve systems without constant direction

·      Comfortable working in a fast-moving startup where infrastructure, product, and customer demands are changing quickly

·      Clear communicator who can work effectively in an async environment and handle shift handoffs cleanly

Nice to have

·      Experience with AI inference, ML infrastructure, or adjacent high-performance distributed systems

·      Experience operating heterogeneous GPU fleets, bare-metal infrastructure, or multi-provider compute environments

·      Experience using AI tools productively in engineering workflows

Intetics Inc., a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for Site Reliability Engineer to work with one of our projects.

We are building the infrastructure layer for modern AI inference: a globally distributed platform designed to deliver scalable, cost-efficient, and reliable access to GPU compute.

Our platform includes globally distributed control planes running on AWS, a large distributed fleet of GPU inference nodes across multiple GPU providers, and the networking systems that connect everything into a reliable, high-performance production platform. We use Kubernetes to orchestrate inference workloads and an open-source observability stack built around Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry.

The control plane is relatively simple and primarily runs on EKS, with MySQL on AWS and a small set of supporting services. The more complex part of the platform is the GPU side: hosts are spread across providers and are often operated more like distributed on-prem infrastructure than traditional cloud services.

Role

We’re hiring an SRE / DevOps / Infrastructure Engineer to help scale and operate the core infrastructure behind our growing inference platform. This is a hands-on role for someone who wants to work on hard infrastructure problems across networking, Kubernetes, reliability, observability, and production operations. You’ll join a small, high-impact infrastructure team that is currently two engineers, with plans to grow to 4–5 by the end of the year.

What you’ll do

·      Build, operate, and improve the infrastructure powering the distributed inference platform

·      Own reliability, scalability, and operational excellence across AWS-based control planes and our multi-provider GPU fleet

·      Design and maintain the networking layer connecting control planes, Kubernetes clusters, and geographically distributed GPU hosts

·      Operate and improve Kubernetes-based inference orchestration, primarily on EKS

·      Manage deployments and infrastructure changes using Helm, FluxCD, and Terraform

·      Improve observability across the platform using metrics, logs, traces, dashboards, and alerting built on Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry

·      Tune alerts, improve runbooks, and strengthen operational readiness as the system scales

·      Respond to production issues, perform root cause analysis, and implement durable fixes

·      Work closely with engineers across time zones using clear asynchronous communication and handoff practices, especially through Slack

·      Help expand Europe-based infrastructure coverage to support sustainable operations outside US business hours.
 

Requirements

·      5+ years of experience in SRE, DevOps, platform engineering, or infrastructure engineering

·      Strong production experience with networking and Kubernetes

·      Experience operating AWS infrastructure in production, especially EKS

·      Strong hands-on experience managing Linux hosts, clusters, and distributed systems in environments that are not fully abstracted by a major cloud provider

·      Experience with Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry

·      Experience with deployment and GitOps workflows using tools such as Helm and FluxCD

·      Experience with infrastructure as code, ideally Terraform

·      Familiarity with alert tuning, runbook development, and practical incident management in production systems

·      Strong operational judgment: able to troubleshoot independently, respond calmly to incidents, and improve systems without constant direction

·      Comfortable working in a fast-moving startup where infrastructure, product, and customer demands are changing quickly

·      Clear communicator who can work effectively in an async environment and handle shift handoffs cleanly

Nice to have

·      Experience with AI inference, ML infrastructure, or adjacent high-performance distributed systems

·      Experience operating heterogeneous GPU fleets, bare-metal infrastructure, or multi-provider compute environments

·      Experience using AI tools productively in engineering workflows

YouControl is an analytical system that from more than 220 sources forms a complete profile for each company and individual entrepreneur of Ukraine on the basis of open data, tracks changes in state registers and visualises links between affiliated persons. It contains data for checking foreign companies. The system allows businesses to check counterparties, as well as to look for new potential customers and partners. 
 

We are seeking a Senior DevOps Engineer to join our energetic and proactive team.

Responsibilities and Contributions:

• Participate in the development and implementation of a new approach to infrastructure. Infrastructure as Code (IaC) tools will serve as the main mechanism for managing the platform.
• Ensure high availability of applications and configure redundancy of platform components for company products.
• Contribute to the design of a platform for high-load backend and frontend applications in both on-premise and cloud environments.
• Set up and maintain product monitoring systems. Respond proactively to incidents to ensure a high level of SLA for B2B clients.
  
  Key Required Skills:
• 5+ years of hands-on experience working closely with product development teams.
• 5+ years of experience with both on-premise solutions and cloud providers.
• Experience in configuring, maintaining, and supporting the reliability and uptime of infrastructure components (databases, virtualization clusters, common infrastructure).
• Proficiency with IaC tools (Terraform / Ansible).
• Experience working with Proxmox / OpenNebula as core virtualization controllers.
• Solid knowledge of Unix systems at the system administrator level. Strong understanding of the OSI model.
• Understanding of virtualization/containerization principles and environments (KVM, LXC, Docker).
• Experience operating Kubernetes (K8s) in production environments under real workloads.
• Proficiency with monitoring systems (Zabbix / Prometheus).
• Good hands-on experience with any of the big cloud providers
• Familiarity with CI/CD tools (GitLab / Jenkins / etc.), both in infrastructure (Atlantis / Flux) and for setting up continuous delivery of software.
   

Nice to Have:

• Knowledge of dynamic routing protocols (BGP, OSPF).
• Experience in building hybrid infrastructure environments.
• Experience developing custom modules for Terraform / Ansible to address specialized needs.
   

We offer:

• Competitive salary.
• Comfortable working environment.
• We provide employees with paid vacation, medical insurance and English language courses. 
• A system of internal and external training for experience exchange and professional growth.
• Friendly atmosphere with colleagues who are always ready to help.

Responsibilities

• Ongoing support and maintenance of customer cloud environments
• Act as main point of contact (POC) for assigned customers
• Handle monitoring, alerts, incidents, and escalations
• Execute planned activities: DR drills, restore drills, upgrades, migrations
• Support EKS clusters: updates, migrations, dependency handling
• Assist during critical launches and production incidents
• Work hands-on with AWS infrastructure using Terraform
• Use Bash and Python for automation, troubleshooting, and tooling
• Identify improvement opportunities and share insights with internal teams
• Maintain and update internal knowledge base and documentation
• Promote a strong customer experience and build long-term trust

Requirements

• 3 years of experience 
• Background in a Cloud MSP / AWS Partner environment – strong advantage
• Hands-on experience with:
  • AWS
  • Terraform
  • EKS
  • Bash and/or Python
• Experience in support / operations / maintenance roles
• Strong analytical and troubleshooting skills
• Customer-facing mindset, communicator, and promoter
• Comfortable managing multiple customers simultaneously
• Fast learner, detail-oriented
• Proven ability to work in a fast-paced support environment
• Good written and verbal communication skills in English

Devico is looking for a motivated and talented Senior DevOps Engineer with commercial experience of at least 5 years to join to our team on a full-time basis.

About Us:

We are building technology that makes sustainability and decarbonization core elements of modern business. Our software provides partners with advanced carbon management tools that simplify compliance, reduce emissions, and support success in a sustainable economy.

Our mission is to automate and scale carbon management processes, helping companies optimize operations, reduce emissions across products and supply chains, and contribute meaningfully to the fight against global climate change.

Responsibilities:

• Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS.
• Develop and maintain infrastructure as code (IaC) using Terraform.
• Deploy, manage, and troubleshoot Kubernetes clusters.
• Create and manage CI/CD pipelines using Bitbucket Pipeline.
• Monitor and optimize system performance, reliability, and security using DataDog.
• Collaborate with software developers, system operators, and other IT staff members to manage code releases.
• Ensure that systems are safe and secure against cybersecurity threats.
• Automate and streamline operations and processes.
• Perform root cause analysis for production errors.

Requirements:

• Proven experience as a DevOps Engineer or similar software engineering role.
• Extensive experience with AWS services and cloud architecture.
• Strong proficiency in Terraform for infrastructure as code.
• Hands-on experience with Kubernetes for container orchestration.
• Proficient in setting up and managing CI/CD pipelines using Bitbucket Pipeline.
• Expertise in monitoring and performance management using DataDog.
• Strong scripting skills (e.g., Bash, Python).
• Excellent problem-solving skills and attention to detail.
• Good understanding of Agile methodologies and DevOps best practices.
• Excellent communication and teamwork skills.
• Level of English: Upper-intermediate and higher.

Preferred Qualifications:

• Relevant certifications in AWS, Kubernetes, or Terraform.
• Experience with other monitoring tools and logging frameworks.
• Knowledge of security best practices in cloud environments.
• Familiarity with other CI/CD tools (e.g., Jenkins, GitLab CI).

We are seeking a highly skilled and motivated DevOps Engineer to join our Core Team. In this role, you will be a key player in bridging the gap between development and operations, ensuring our systems are scalable, resilient, and automated. You will manage a hybrid environment consisting of AWS Cloud, Digital Ocean services and on-premises servers, leveraging modern GitOps workflows to streamline deployment in Microservices and Serverless architectures.

Key Responsibilities: 
● Hybrid Infrastructure Management: Design, implement, and maintain scalable infrastructure across AWS and on-premises data centers. 
● Automation & IaC: Treat infrastructure as software by using Terraform or CloudFormation to automate resource provisioning and configuration. 
● Container Orchestration: Manage and scale containerized applications using Kubernetes, utilizing Rancher for multi-cluster management and visibility. 
● GitOps Delivery: Implement and maintain continuous delivery pipelines using ArgoCD to ensure the desired state of our clusters matches our Git repositories. 
● CI/CD Pipeline Development: Design and optimize automated build and deployment workflows using GitHub Actions. 
● System Administration: Manage and tune Linux (Ubuntu) environments for performance, security, and reliability. 
● Databases: manage database infrastructure, including replicas, backups, point-in-time recovery, monitor database performance and collaborate with developers to optimize queries and indexing strategies.

Required Qualifications: 

1. Cloud & Core Infrastructure 
● AWS Mastery: Proven experience with core AWS services (EC2, S3, SQS, CloudWatch, RDS, VPC, IAM). 
● Hybrid Experience: Hands-on experience managing and troubleshooting on-premises physical or virtualized servers. 
● Linux Expertise: Deep knowledge of Linux administration, with a strong preference for Ubuntu. 

2. Orchestration & Continuous Delivery
● Kubernetes & Rancher: Solid experience deploying and managing production-grade K8s clusters. 
● ArgoCD & GitOps: Experience implementing GitOps patterns for automated, declarative application deployments. 
● CI/CD: Proficiency with Git and GitHub Actions for automating testing and deployment cycles. 

3. Automation & Development 
● Infrastructure as Code (IaC): Advanced proficiency in Terraform, CloudFormation, or similar tools. 
● Programming: Strong Python scripting skills for task automation, custom tooling, and interacting with APIs. 

4. Modern Architecture 
● Architectural Patterns: Deep understanding of Microservices and Serverless (e.g., AWS Lambda) design principles. 

5. Databases 
● Relational DBs: Deep experience with PostgreSQL administration (vacuuming, indexing, replication, and backup strategies). 
● NoSQL & Cloud Native: Proficiency in AWS DynamoDB, understanding GSIs, LSIs, and TTL configurations.

Preferred/Bonus Qualifications: 
● Experience with Workflow Management platforms such as Apache Airflow. 
● Experience with monitoring and observability stacks (Prometheus, Grafana, ELK). 
● Strong communication skills and the ability to work effectively in an agile, collaborative environment.