Jobs DevOps

Umbrelly.Cloud is an AWS Advanced Tier Level Partner.
 
Our mission is to help businesses which use AWS reduce their cloud bill, optimize their infrastructure & provide world-class technical support. 

Umbrelly is an Official Advanced Tier Partner of AWS, and currently serving 100+ enterprises & startups from US, EU and other Tir 1 countries. 

We are looking for a FinOps manager, who will help our customers practically implement AWS infrastructure changes, clean any waste & unused resources. 

What We Expect from an FinOps Engineer AWS:
- 3+ years practical experience working with AWS
- 0.5-1 years experience with focus on optimizing AWS infrastructure & costs
- Contribute to our FinOps product, fast deliver new features using AI coding, which will help customers better understand their AWS costs & infrastructure and optimize it
- Talk with customers to review their cloud consumption and highlight cost optimization opportunities.
- You should be able to tell us something new about AWS FinOps practicies, we previously don't know. 

Why Umbrelly is a Great Place to Work and Grow: 

• Clear way for career growth. If you’re ambitious and consistently deliver strong results for 6 months, you’ll have an opportunity to grow into either teamlead or join  FinOps AI team. 
• Potential to earn salary way higher then market average. We offer base salary + a fee from any cost you helped to save our customers. Each time our customer reduce their AWS Bill, it would be paid to you with a generous bonus.
• You will get rare specialty, which is in high demand, not just a DevOps, but a FinOps practicioner. 
• Proven product-market fit. Our model has been working successfully for 3+ years, with 100+ B2B customers closed to date.
• We already maintain Advanced Level Partnership with an AWS.
• Experienced leadership. Umbrelly.Cloud is run by an experienced C-level team in cloud industry and backed by prominent investors.

DevOps / System Administrator

We are looking for a hands-on DevOps / System Administrator with strong experience in web infrastructure. A key requirement is a solid understanding of Nginx, including complex and nested configurations, as well as practical experience with Binom and Keitaro.

Responsibilities:
• Configure and maintain server infrastructure
• Configure and troubleshoot Nginx, including complex and nested configurations
• Set up reverse proxy, SSL/TLS, redirects, upstreams, headers, and timeouts
• Install, configure, and maintain Binom and Keitaro
• Work with domains, DNS, and Cloudflare
• Troubleshoot the full chain: DNS → Cloudflare → Nginx → Binom/Keitaro
• Investigate 502/504 errors, proxy issues, SSL problems, redirects, and service availability
• Write Bash scripts for automation
• Work with monitoring, logs, and production incidents

Requirements:
• 2+ years of experience as a DevOps Engineer / System Administrator
• Strong hands-on experience with Nginx, including server/location blocks, include, upstreams, nested configurations, and troubleshooting
• Practical hands-on experience with Binom
• Practical hands-on experience with Keitaro
• Good understanding of DNS, SSL/TLS, reverse proxy, and networking
• Experience with Cloudflare
• Bash skills at the level of writing working scripts from scratch
• Experience working with Linux servers
• Ability to independently troubleshoot infrastructure issues and identify root causes

Tech stack:
Linux / Nginx / Binom / Keitaro / Bash / DNS / SSL/TLS / Cloudflare / Git

Conditions:
• Remote work
• Flexible schedule
• Compensation is discussed during the interview process
• Minimal bureaucracy and direct communication with the team

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 currently looking for an experienced Azure Files / Storage Mover Specialist for an immediate-start assignment.

Required Skills and Experience (at least 6+ years)

• Azure Files (Classic Shares)
• Azure Storage Accounts, including both:
  • Public Endpoints
  • Private Endpoints
• Azure Service Principals and a solid understanding of their purpose and usage
• Azure Storage Mover:
  • Configuration
  • Monitoring
  • Troubleshooting
  • Experience with Azure File Sync is considered an advantage as an alternative background
• Entra ID-based Share Level Permissions on Azure Files
• Kerberos authentication options within Azure environments

Key Requirements

• Have proven practical experience from similar Azure migration and file services projects
• Be capable of working independently without significant onboarding or training
• Demonstrate strong troubleshooting and problem-solving skills
• Handle sensitive customer data with the highest level of professionalism and security awareness
• Understand best practices for preventing unauthorized access and accidental data exposure

Nice to Have

• Experience deploying or supporting Azure Storage Mover appliances
• Previous experience with complex file migration projects involving on-premises and Azure environments
• Azure Certification 

NuxGame is a dynamic IT company delivering top-tier software solutions for the iGaming industry. We empower operators of all sizes to expand into new markets, strengthen their existing brands, and achieve ambitious business goals.

We are looking for a DevOps Team Lead to join our team. If you are passionate about building resilient infrastructure, leading talented engineers, and ensuring high availability for high-load systems, this is the place for you.

Tech Stack: AWS, Kubernetes, Terraform, Helm, GitHub Actions, VictoriaMetrics, Grafana, New Relic, Aurora, Redis, Cloudflare, Python/Bash.

Your Responsibilities:

You will be responsible for the reliability and scalability of our platform infrastructure, leading the team towards operational excellence.

• Team Leadership: Lead, mentor, and grow the DevOps team. Set technical priorities, optimize delivery workflows (hiring, performance reviews), and foster a culture of engineering excellence.
• Infrastructure as Code: Design and maintain scalable, multi-account AWS infrastructure using Terraform and Helm. Drive the adoption of GitOps practices for consistent environment management.
• Kubernetes Orchestration: Lead the development and support of high-availability EKS clusters, focusing on autoscaling, networking (CNI/Service Mesh), and resource optimization.
• Operational Excellence: Support continuous delivery through optimized CI/CD pipelines. Ensure 99.9%+ availability via robust monitoring, incident response protocols, and proactive system performance tuning.
• Security & Compliance: Strengthen security controls across the platform. Implement Zero-Trust principles, manage IAM/Secrets, and oversee Cloudflare security services (WAF, DDoS protection).
• Database Operations: Ensure reliability of stateful services (MySQL/Aurora, Redis), automating backups, failover strategies, and performance tuning.
• Cross-Functional Collaboration: Partner with Backend, Product, and QA teams to align infrastructure roadmap with business goals and eliminate bottlenecks in the development lifecycle.

What we expect from you:

• Experience: 5+ years in a DevOps role with 2+ years in a leadership position (managing team workflows, mentoring, reporting).
• AWS Expertise: Deep understanding of AWS ecosystem (multi-account organizations, advanced networking, security best practices, and cost optimization).
• Kubernetes Mastery: Advanced experience with EKS (HA networking, PodDisruptionBudgets, NodeGroups, Service Mesh, Cilium/eBPF).
• IaC & GitOps: Strong proficiency with Terraform (multi-environment modules) and GitOps tools (FluxCD or ArgoCD).
• CI/CD Strategies: Experience designing secure, scalable deployment pipelines (GitHub Actions, Jenkins) for PHP and Go applications.
• Observability: Expert knowledge of monitoring stacks (Prometheus, Grafana, Alertmanager, New Relic, Sentry) and experience designing custom metrics/alerts strategies.
• Security Fundamentals: Strong grasp of network segmentation, SSL/TLS, Secrets Management (AWS Secrets Manager/External Secrets Operator), and compliance basics.
• Automation: Proficiency in Python or Bash for creating operational tooling and automation scripts.

It will be a plus:

• Architecture: Experience with Multi-Region and Multi-Cloud architectures, cross-cluster networking, and disaster recovery strategies.
• Streaming Data: Experience with Kafka/MSK or other event streaming systems.
• Compliance: Experience with PCI DSS or equivalent compliance frameworks.
• Performance: Deep understanding of Linux internals and advanced caching strategies (Redis, Cloudflare, S3 tiering).
• Cost Management: Strong background in FinOps and cost optimization techniques across cloud providers.

What we offer:
We believe that a happy team builds the best products. Here is how we support you:

• Remote & Flexible: Work from anywhere. Our core hours are 10:00 to 18:00 (Kyiv time), Mon-Fri.
• Financial Stability: Timely payment for compensation for services
• Personal Equipment Policy: equipment are provided for use to ensure comfortable and efficient work.
• Knowledge Sharing: We regularly gather to discuss new trends, share insights, and elevate one another.
• Community: At NuxGame, you will work in a team of like-minded people who are ready to support, inspire, and tackle complex challenges together.
• Creative Freedom: We encourage initiative. With us, you have the freedom of professional expression and the space to implement your ideas.
• Time-off Policy: 24 vacation days per year + 5 sick days (without medical confirmation).
• Atmosphere: A friendly environment focused on results and mutual respect, free from unnecessary bureaucracy and pressure.

We believe in unlocking the inner potential of each team member within an open and democratic culture.

Waiting for you on our team!

Місія ролі:
Забезпечити надійну, безпечну та автоматизовану інфраструктуру для AI/ML-рішень: від середовищ розробки й CI/CD до production deployment, observability, secrets management, model serving та підтримки AI-сервісів в обмежених або гібридних середовищах. Це не просто класичний DevOps. Для CAIO-команди потрібен інженер, який розуміє, що AI-рішення мають додаткові вимоги: версіонування моделей, контроль даних, reproducibility, GPU/CPU workloads, evaluation pipeline, rollback моделей і моніторинг якості AI-сервісів.

Обов'язки:
-Побудова та підтримка інфраструктури для AI-сервісів.
-Автоматизація deployment, rollback, configuration і release management.
-Побудова CI/CD pipelines для backend, frontend, data/ML components.
-Підтримка model serving environments.
-Впровадження observability для AI-сервісів: метрики, логи, traces, алерти.
-Забезпечення repeatability середовищ: dev/test/stage/prod.
-Підтримка security baseline разом із SecOps та AppSec.
-Документування deployment/runbook процедур разом із Technical Writer.
-Підтримка vendor-delivered компонентів після приймання в експлуатацію.

Вимоги:
-4+ роки практичного досвіду в DevOps, platform engineering, SRE або infrastructure automation.
-Production-досвід з Linux, Docker, CI/CD, GitOps або близькими практиками.
-Практичний досвід з Kubernetes або Docker Compose / Nomad / іншими orchestration-підходами.
-Досвід побудови CI/CD pipelines для backend-сервісів.
-Досвід з IaC/config management: Terraform/OpenTofu, Ansible, Helm, Kustomize або аналоги.
-Розуміння мереж, TLS, DNS, reverse proxy, firewall, VPN, service discovery.
-Досвід з secrets management, RBAC, service accounts, audit logs.
-Досвід моніторингу та логування: Prometheus, Grafana, Loki, ELK/OpenSearch, VictoriaMetrics або подібні інструменти.

Бажано:
-Досвід MLOps: MLflow, Kubeflow, KServe, BentoML, Ray, Airflow, Prefect, Argo Workflows.
-Досвід розгортання LLM або ML models: vLLM, Triton, Ollama, Hugging Face stack, model registry.
-Досвід з GPU workloads, NVIDIA drivers, CUDA runtime, resource scheduling.
-Досвід роботи з on-prem, hybrid або isolated/air-gapped environments.
-Досвід у defence, govtech, fintech, telecom або critical infrastructure.

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання
 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Місія ролі:
Забезпечити операційний кіберзахист AI-платформи та AI-сервісів: security monitoring, incident response, vulnerability management, IAM control, auditability, detection engineering і взаємодію з внутрішніми або зовнішніми SOC/IR-командами. Це роль, яка відповідає за те, щоб AI-рішення не були “чорною коробкою” з точки зору безпеки, логування, реагування та контролю.

Обов’язки:
- Налаштування security monitoring для AI-платформи;

- Визначення обов’язкових security logs для AI-сервісів, API, admin actions;
- Побудова detection rules та alerting;
- Управління vulnerability backlog;
- Контроль IAM, privileged access і audit logs;
- Підготовка incident response playbooks;
- Проведення security reviews перед production release;
- Взаємодія з DevOps, AppSec, PM і зовнішніми security-партнерами;
- Участь у прийманні vendor-рішень з точки зору operational security.

Вимоги:
- 4+ роки досвіду в SecOps, SOC, infrastructure security або security engineering; 
- Досвід роботи з SIEM/log management: Microsoft Sentinel, Splunk, Elastic, OpenSearch, Wazuh або аналоги;
- Практичний досвід incident response: triage, containment, escalation, post-incident review;
- Досвід vulnerability management: scanning, prioritization, remediation tracking; 
- Розуміння IAM, MFA, privileged access, RBAC, service accounts;
- Розуміння Linux hardening, network security, firewalling, TLS, VPN;
- Досвід створення security playbooks/runbooks;
- Вміння читати технічні логи та знаходити аномалії.

Буде перевагою:
- Досвід Kubernetes/container security;
- Досвід з MITRE ATT&CK, NIST, ISO 27001;
- Досвід у regulated або critical environments; 
- Досвід побудови detection rules для API, identity, infrastructure та application events;
- Досвід інтеграції security logging з DevOps/MLOps платформами;

- Досвід у GovTech.
 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання

Job Summary

We are seeking a Senior DevOps Engineer to build and maintain the cloud infrastructure supporting our CI/CD pipelines and production services. You will work closely with software engineers, fellow DevOps engineers, and other team members to automate, scale, secure, and continuously improve our platform.

Key Responsibilities

• Design, build, and maintain scalable, highly available, and secure infrastructure.
• Automate CI/CD pipelines and manage deployments to staging and production environments.
• Work with Kubernetes, Docker, and Helm for container orchestration and management.
• Manage and implement Infrastructure-as-Code using Terraform and Terragrunt.
• Set up and maintain monitoring and logging systems such as Prometheus, Grafana, and ELK/OpenSearch.
• Collaborate across engineering teams to ensure platform reliability, performance, and scalability.
• Maintain system security and implement DevOps and cloud infrastructure best practices.

Requirements

• 6+ years of experience as a DevOps Engineer in a production environment.
• Strong Linux and networking fundamentals.
• Proven experience working with managed cloud services, preferably AWS or GCP.
• Strong proficiency with Docker, Kubernetes, and Helm.
• Hands-on experience with Infrastructure-as-Code tools, including Terraform and Terragrunt.
• Experience with CI/CD tools, preferably GitHub Actions and self-hosted runners.
• Solid shell scripting skills and basic experience with Python or Go.
• Familiarity with security principles and industry best practices.
• Strong communication skills and the ability to work independently.

Expectations

• Ownership: When identifying a problem, take an active role in driving it toward resolution or ensure it is clearly and appropriately handed over to the relevant owner.
• Accountability: Follow through on commitments, communicate progress clearly, and raise risks or blockers at an early stage.
• Thinking Beyond Tickets: Look beyond assigned tasks and continuously identify opportunities to improve reliability, security, automation, observability, and overall operational excellence.

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

• Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.
  
  The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

   

• Responsibilities:

  - Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
  - Build and optimize CI/CD pipelines to support automated and secure software delivery.
  - Deploy and manage applications using Docker and Kubernetes.
  - Manage secrets, privileged access, and artifact repositories.
  - Implement security, monitoring, logging, and disaster recovery best practices.
  - Collaborate with engineering and security teams to improve platform reliability and security.
  - Support cloud migrations and infrastructure hardening initiatives.

   

• Mandatory Skills Description:

  - engagement till November 30 with potential prolongation

  - Strong experience in DevOps engineering (10+ years)
  - Experience with AWS security services and compliance frameworks
  - Strong experience containerizing applications using Docker
  - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
  - Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
  - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
  - Experience implementing automated build, test, deployment, and release pipelines

   

• Nice-to-Have Skills Description:

  - Hands-on experience in using AI tools (e.g., GitHub Copilot)
  - Familiarity with financial services / clearing / trading platforms

• Languages:
  • English: C1 Advanced

Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.

The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

• Responsibilities:

  - Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
  - Build and optimize CI/CD pipelines to support automated and secure software delivery.
  - Deploy and manage applications using Docker and Kubernetes.
  - Manage secrets, privileged access, and artifact repositories.
  - Implement security, monitoring, logging, and disaster recovery best practices.
  - Collaborate with engineering and security teams to improve platform reliability and security.
  - Support cloud migrations and infrastructure hardening initiatives.

• Mandatory Skills Description:

  - Strong experience in DevOps engineering (10+ years)
  - Experience with AWS security services and compliance frameworks
  - Strong experience containerizing applications using Docker
  - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
  - Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
  - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
  - Experience implementing automated build, test, deployment, and release pipelines

• Project Description:

  Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.
  
  The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

• Responsibilities:

  - Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
  - Build and optimize CI/CD pipelines to support automated and secure software delivery.
  - Deploy and manage applications using Docker and Kubernetes.
  - Manage secrets, privileged access, and artifact repositories.
  - Implement security, monitoring, logging, and disaster recovery best practices.
  - Collaborate with engineering and security teams to improve platform reliability and security.
  - Support cloud migrations and infrastructure hardening initiatives.

• Mandatory Skills Description:

  - Strong experience in DevOps engineering (10+ years)
  - Experience with AWS security services and compliance frameworks
  - Strong experience containerizing applications using Docker
  - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
  - Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
  - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
  - Experience implementing automated build, test, deployment, and release pipelines

• Nice-to-Have Skills Description:

  - Hands-on experience in using AI tools (e.g., GitHub Copilot)
  - Familiarity with financial services / clearing / trading platforms

• Languages:
  • English: C1 Advanced

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).

Cloud Backend Engineer - Azure IoT Hub / Disaster Recovery

About the Project

We’re looking for a Cloud Backend Engineer to join an enterprise IoT platform initiative focused on infrastructure resilience, UI acceleration, and edge management.

The existing IoT platform currently has several areas being improved:

• Azure IoT Hub disaster recovery and device state protection
• Frontend delivery capacity
• Enterprise-grade OTA management for remote edge devices

This role is specifically focused on the Azure IoT Hub Disaster Recovery stream.

Your Role

You will be responsible for designing, implementing, and validating an automated disaster recovery mechanism for Azure IoT Hub.

The main objective is to ensure that device registry information and device twin state are continuously backed up and can be fully restored when required.

A successful end-to-end restoration in a development environment is a mandatory project acceptance criterion.

Responsibilities

• Design and implement automated, continuous backups of the Azure IoT Hub Device Registry
• Implement continuous backup of Device Twins / Twin State
• Securely store backup data in Azure Blob Storage
• Develop and maintain automation for the disaster recovery and restoration process
• Create clear, operational Disaster Recovery and restoration runbooks
• Execute complete device state restoration in a development environment
• Test and validate the end-to-end recovery process
• Verify that restored device registry and twin state data is complete and operational
• Work closely with DevOps, Backend, and IoT Platform engineers

What We’re Looking For

• Strong hands-on experience with Microsoft Azure
• Practical experience with Azure IoT Hub
• Experience working with Device Registry and/or Device Twins / Twin State
• Experience with Disaster Recovery, Backup & Restore processes
• Experience with Azure Blob Storage
• Strong automation/scripting skills, ideally with Python and/or PowerShell
• Ability to independently implement and validate cloud recovery automation
• Experience creating operational documentation and recovery runbooks
• Good English communication skills

Nice to Have

• Experience with large-scale or enterprise IoT platforms
• Experience automating IoT device state backup and restoration
• Experience with Azure Functions, Azure CLI, Terraform/Bicep or other Azure automation tooling
• Experience with recovery testing and validation in production-like environments

Broader Project Context

The overall IoT initiative also includes two parallel streams:

• Frontend Capacity Scaling & dlab Ingestion: translating Figma designs, design tokens, and UI components into reusable frontend code
• Backend & Edge / Mender Enterprise: integrating Mender Enterprise SaaS for secure fleet-wide OTA updates, package signing, progressive rollouts, and automatic rollback

These are parallel project streams; this position is focused specifically on Azure IoT Hub Disaster Recovery.

Description

Artificial intelligence (AI) is rapidly transforming the business landscape. From automating mundane tasks to powering data-driven insights, AI promises increased efficiency, improved decision-making and a competitive edge. However, simply implementing AI tools isn’t enough. To realize the full potential of these technologies, organizations need a dedicated role focused on managing, optimizing and governing their AI deployments: the AI Administrator. This emerging role is quickly becoming essential for businesses of all sizes.
We are seeking a dedicated AI System Administrator to manage and optimize our company’s AI systems and platforms.

Requirements

• Cloud Computing: Proficiency in cloud platforms: Azure, Tool: Foundry, OpenAI, PaaS Services, IaaS
• ServiceNow Tools: Experience with ServiceNow tools for Managing Service request and Incidents

Job responsibilities

• Model Monitoring & Management: Continuously monitoring model performance, identifying drift, and triggering retraining or recalibration processes.
• Infrastructure Management: Maintaining and scaling the infrastructure required to support AI workloadsб including cloud resources, servers and storage.
• Cost Optimization: Monitoring resource utilization, identifying inefficiencies and optimizing costs associated with AI infrastructure and operations.
• Security & Compliance: Implementing and enforcing data security policies and ensuring compliance with relevant regulations.
• Bias Detection & Mitigation: Analyzing models for bias and implementing techniques to mitigate it. Working with data science teams to ensure fairness and equity.
• Access Control & Permissions: Managing access to AI models, data, and infrastructure.
• Documentation & Reporting: Maintaining comprehensive documentation of AI models and infrastructure. Generating reports on model performance, data quality and security.
• Collaboration with Data Science: Working closely with data scientists to deploy, monitor and improve models. Providing feedback on model performance and data quality.
  Vendor Management: Evaluating and managing relationships with AI technology vendors.

Your responsibilities will include maintaining the health of our AI systems, resolving technical issues, and ensuring the systems are secure and up-to-date. The ideal candidate is a tech-savvy professional with an in-depth understanding of AI technologies and system administration. The ability to learn quickly and adapt to new technologies is essential.
Ultimately, the AI System Administrator should enhance our AI infrastructure and contribute to building high-quality AI applications that align with our business needs.