Jobs DevOps Engineer

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.

Skills

Must have

Strong experience in DevOps engineering (5-7 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

Hands-on experience in using AI tools (e.g., GitHub Copilot)

Familiarity with financial services / clearing / trading platforms

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.

Skills

Must have

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

Hands-on experience in using AI tools (e.g., GitHub Copilot)

Familiarity with financial services / clearing / trading platforms

Other

Languages

English: C1 Advanced

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 
- 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

• 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

• 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 (7-8+ 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

We are seeking a hands-on AI Platform Engineer to join our team. The primary mission of this role is to operate, automate, manage, and evolve
our enterprise AI Platform so that internal development teams can rely on a stable, secure, scalable, and well-governed environment for building AI solutions.
This is a platform engineering and operations role, not an application development position. The ideal candidate is proactive, autonomous, understands cloud platform engineering principles, and can execute technical initiatives with minimal supervision.
The role spans infrastructure, CI/CD automation, API management, platform governance, and AI services, with a strong emphasis on Infrastructure as Code and operational excellence.

Requirements:

• Hands-on experience operating enterprise platforms in Microsoft Azure environments
• Strong experience with Terraform and Infrastructure as Code practices
• Experience designing and maintaining CI/CD pipelines using Azure DevOps
• Practical knowledge of Azure API Management (APIM)
• Experience with Azure AI Foundry, Azure OpenAI, or related Azure AI services
• Understanding of cloud networking, security, identity management, and access control
• Strong troubleshooting and problem-solving skills.
• Proven ability to work autonomously and manage tasks end-to-end

Nice-to-Have Skills:

• Experience with Portkey AI for LLM routing, observability, guardrails, caching, or governance
• Knowledge of multi-model AI platforms and model gateway architectures
• Familiarity with AWS Bedrock or other cloud AI platforms
• Experience implementing platform observability solutions and operational dashboards

• Knowledge of enterprise AI governance, compliance, and security controls

   

Candidate Profile:

• Operates independently while keeping stakeholders informed and aligned
• Has a platform-first mindset and understands how developers consume shared services
• Is comfortable working across infrastructure, DevOps, API management, and AI services
• Takes ownership of operational excellence, automation, and continuous improvement
• Is proactive, reliable, and capable of driving technical tasks from design through implementation
• Learns quickly and adapts to an evolving cloud and AI technology landscape

• Values documentation, standardization, and long-term maintainability of platform solutions

   

Job responsibilities:

AI Platform Operations

• Troubleshoot platform-level issues and coordinate resolution across multiple Azure services
• Support platform scalability, reliability, availability, and operational excellence
• Manage lifecycle operations for LLMs, embedding models, AI services, and platform environments across development, non-production, and production
• Administer and maintain Azure AI Foundry workspaces, projects, model deployments, connections, and platform configuration

Infrastructure as Code & Automation

• Develop, maintain, and enhance Infrastructure as Code using Terraform
• Build and manage reusable infrastructure modules, templates, and deployment patterns
• Automate environment provisioning, configuration management, and platform operations
• Ensure consistency and repeatability across environments through automation
• CI/CD & DevOps
  Design, implement, and maintain CI/CD pipelines using Azure DevOps
• Manage build, release, deployment, validation, and rollback processes
  Improve deployment reliability through testing, automation, and release governance
  Promote DevOps best practices across the platform ecosystem

API Platform & Integration Management

• Operate and maintain Azure API Management (APIM) as a core component of the AI Platform
• Configure APIs, policies, authentication, authorization, throttling, and routing mechanisms
• Support secure exposure of AI capabilities to internal development teams
• Assist in troubleshooting API connectivity, authentication, and integration challenges

Observability & Monitoring

• Configure and maintain platform-wide logging, monitoring, tracing, and telemetry
• Build dashboards and reporting for platform usage, performance, adoption, cost, and operational health
• Monitor platform capacity, quotas, consumption, and service reliability
• Implement alerting and diagnostics to ensure stable platform operations

The end client is one of the largest automotive manufacturers in the world. The project delivers an IoT-based solution that gives the client real-time visibility and control over its supply chain, connecting production facilities, logistics partners, and suppliers across multiple regions.

The value of the solution lies in its ability to help the client adapt quickly to disruptions — from parts shortages and supplier delays to demand shifts — by turning fragmented supply chain data into actionable, real-time insight. This reduces downtime risk, improves planning accuracy, and makes the client's manufacturing operations more resilient at global scale.

As part of a system operating at this scale, the DevOps team is responsible for a reliable, secure, and observable cloud infrastructure that keeps the platform available and performant for a global automotive business.

 

Responsibilities

• Work with Kubernetes objects on AKS (deployments, services, ingress, network policies, RBAC, etc.)
• Implement and support the observability and monitoring stack (Grafana dashboards and alerts, OpenTelemetry, Azure Monitor)
• Configure, maintain, and improve CI/CD processes using GitHub and GitHub Actions
• Ensure infrastructure security, including:
  • Encryption of data in transit and at rest
  • Implementation and maintenance of RBAC (Role-Based Access Control) in Kubernetes
  • Access control and protection of critical cluster components
  • Network security and policy enforcement using Cilium policies
  • Policy management and governance using Kyverno policies
  • Integration with secure secrets management solutions (Azure Key Vault, Private Endpoints, Private Links)
     

Requirements

• Upper-Intermediate English (B2) or higher — mandatory
• Production-level experience with Kubernetes on Microsoft Azure (AKS)
• Solid understanding of Linux and networking
• Experience with secure Kubernetes deployment practices: TLS/mTLS, Secrets management, encryption at rest, RBAC configuration and audit
• Hands-on experience with infrastructure as code: Terraform, Terragrunt
• Experience with IAM and Azure Storage (Storage Accounts, Blob Storage)
• Good understanding of Kubernetes storage concepts (PV, PVC, Storage Classes)
• Observability experience: Grafana (dashboard and alert configuration), OpenTelemetry, Azure Monitor
• Understanding of approaches to system monitoring (observability best practices)
• General understanding of Kafka
• Experience with Postgres and Redis
• Experience with GitHub and GitHub Actions
• Experience with Azure Key Vault, Private Endpoints, Private Links
• Knowledge of Helm, Kustomize
• Experience with Cilium network policies and Kyverno policies
   

Nice to Have

• Experience with Apache Flink
• Practical experience with FinOps
• CNCF or Microsoft certifications in the DevOps field

Senior DevOps Engineer (Kraków, Poland)

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

We build foundational public data infrastructure that powers mission-critical platforms in cybersecurity, public safety and digital risk protection. Our systems ingest and structure high-volume web data and continuous video feeds from major social networks via a stable API, delivering reliable signals that integrate into core customer products. We operate a multi-account AWS environment handling tens of millions of data requests daily and support analytics on high-scale data stores such as ClickHouse, ScyllaDB, DynamoDB, RDS and Redis. Engineering discipline, long-term thinking and operational excellence underpin our work—every data flow is production-grade and designed for scale, reliability and depth.

About the Role:

We are seeking a Senior DevOps Engineer to join our infrastructure team in a European engineering hub. Reporting to the DevOps Team Leader, you will own end-to-end delivery of advanced infrastructure initiatives—from design and implementation through production hardening. You will tackle real-world challenges including migrating container workloads from ECS Fargate to Kubernetes without downtime, evolving Infrastructure as Code frameworks, scaling data-intensive pipelines, and enforcing robust observability and reliability standards. This role offers high autonomy, direct impact on global products, and the opportunity to set the technical bar for operational excellence.

Key Responsibilities:

• Architect and execute migration of container workloads from ECS Fargate to Kubernetes (EKS) with zero downtime.
• Design and maintain modular Infrastructure as Code using Terraform and OpenTofu across multiple environments.
• Evolve enterprise CI/CD pipelines with GitHub Actions and OIDC federation to improve developer velocity and deployment safety.
• Oversee performance, capacity and resilience of high-volume data infrastructure (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging.
• Implement and enforce reliability and observability standards using telemetry tools (OpenTelemetry, Coralogix, Grafana).
• Make data-driven tradeoffs balancing speed, security (least-privilege, zero-trust access) and cost efficiency (FinOps).
• Collaborate across distributed teams to deliver secure, compliant and scalable cloud infrastructure.
• Own operational responses, on-call rotations and incident management driven by signal, not noise.

Required Competence and Skills:

• 5+ years of hands-on experience in DevOps, Infrastructure or Cloud Engineering in data-intensive, high-throughput environments.
• Advanced AWS expertise across compute, networking (VPC, DNS, segmentation), IAM and scalability patterns.
• Production-scale Kubernetes mastery (EKS), including cluster design, optimization and heavy load management.
• Expertise in Terraform (or equivalent) and scripting/software engineering in Python, Go or TypeScript; strong Bash skills.
• Deep understanding of container orchestration (Docker, ECS) and modern CI/CD with safe rollout strategies.
• Proven track record building observability and alerting stacks (metrics, logs, traces, SLOs) at scale.
• Strong communication skills, pragmatic leadership and ability to work autonomously in high-velocity teams.

Nice to Have:

• Direct experience migrating production workloads from ECS to Kubernetes.
• Familiarity with EKS ecosystem tools (Karpenter, ArgoCD/Flux, KEDA, VPC CNI).
• Experience operating wide-column or analytical databases at scale (ClickHouse, ScyllaDB).

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

We're hiring a Cloud DevOps Engineer to build, automate, and secure our GCP-centric cloud platform in a fast-paced startup environment. You'll own CI/CD, infrastructure as code, GKE, and Airflow-based workflow orchestration, working closely with development, security, and data teams.

Must-Have Skills

• GCP — strong, hands-on production experience
• GKE / Kubernetes in production
• Apache Airflow — authoring DAGs and managing the platform
• 4+ years in DevOps / SRE / Cloud Engineering
• Terraform (IaC) required
• CI/CD tooling and best practices
• Secrets management, RBAC, and audit logging
• Scripting in Python, Bash, or PowerShell
• High level of English

Nice-to-Have

• Azure and/or AWS
• CloudFormation or Bicep

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 are looking for a Senior DevOps / Platform Engineer to join a large-scale enterprise technology team.

You will work on cloud infrastructure, CI/CD, Kubernetes platforms and DevSecOps, helping build secure, scalable and automated systems.

Responsibilities

• Build and operate cloud infrastructure (Azure / GCP / AWS)
• Develop and maintain CI/CD pipelines
• Manage Kubernetes, Docker, Helm environments
• Implement Infrastructure as Code (Terraform)
• Work with GitOps (ArgoCD / Flux)
• Automate infrastructure using Python / Bash / Go
• Improve monitoring, logging and alerting
• Support DevSecOps (scanning, secrets, security controls)
• Ensure reliability, performance and incident support
• Contribute to platform engineering and automation initiatives

Requirements

• 5+ years in DevOps / SRE / Platform Engineering
• Strong experience with cloud (Azure / GCP / AWS)
• Hands-on with Kubernetes + Docker
• Strong Terraform / IaC experience
• Experience with CI/CD and GitOps
• Good Linux + networking knowledge
• Scripting skills (Python / Bash / Go)
• Experience with DevSecOps practices
• Experience with monitoring & observability
• Experience with AI-assisted tools (Cursor / Copilot / Claude Code)

Blackthorn.ai is looking for a DevOps / MLOps Engineer to join our engineering team and help us build, maintain, and improve reliable cloud infrastructure for AI/ML and software projects.

You will work closely with developers, ML engineers, and other technical team members to automate deployments, manage cloud infrastructure, improve system reliability, and ensure secure and observable production environments.
 

What you’ll do:

• Design, maintain, and optimize cloud infrastructure
• Build and manage infrastructure using Terraform and reusable Infrastructure-as-Code modules
• Develop, maintain, and improve CI/CD pipelines and deployment automation
• Work with Kubernetes and Docker to deploy and manage containerized applications
• Support infrastructure for ML/MLOps workloads and microservices
• Manage and improve IAM, access control, and security practices
• Set up and maintain monitoring, logging, and observability solutions
• Troubleshoot infrastructure and deployment issues and help ensure high availability and reliability
• Collaborate with development and ML teams on infrastructure and deployment requirements
• Automate routine infrastructure and operational tasks using Python and Bash
• Contribute to cloud architecture and infrastructure improvements across projects
   

Requirements:

• 2+ years of commercial experience in DevOps, Cloud Engineering, MLOps, or a related role
• Strong hands-on experience with Microsoft Azure
• Solid experience with Kubernetes and Docker
• Strong practical experience with Terraform / Infrastructure as Code
• Hands-on experience with GitLab CI/CD
• Experience with Argo CD and GitOps-based deployment workflows
• Experience with Prometheus, Loki, and Grafana for monitoring, logging, and observability
• Good understanding of cloud networking, Linux administration, and infrastructure management
• Experience with IAM, access control, and cloud security
• Experience supporting and troubleshooting production environments
• Ability to automate routine infrastructure and operational tasks using Bash and/or Python
• Understanding of CI/CD best practices and deployment automation
• Experience working with microservices and containerized applications
• Good English communication skills
• Ability to work independently, troubleshoot complex infrastructure issues, and take ownership of DevOps tasks
  
  Nice to have:
• Experience with Google Cloud Platform (GCP)
• Experience with AWS
• Experience with MLOps / ML infrastructure
• Experience with Falco or other runtime security tools
• Google Cloud or Microsoft Azure certifications
• Experience designing scalable and highly available cloud architectures
   

What we offer:

• Work on AI/ML and software engineering projects
• Remote-friendly environment
• International team and English-speaking environment
• Opportunity to work with modern cloud and infrastructure technologies
• High level of ownership and autonomy
• Professional growth and opportunities to expand your expertise in DevOps, Cloud, and MLOps

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We are looking for a Support Engineer with hands-on AWS and Linux experience, strong troubleshooting skills, and the ability to monitor, support, and optimize customer environments in a 24/7 setting.

📍 Work location - Ukraine

Responsibilities

• Respond to incidents according to playbooks 
• Provide customer support in rotating 8-hour shifts to ensure 24/7 coverage
• Monitor and troubleshoot network, infrastructure, and application issues
• Analyze metrics, alerts, and incidents to fine-tune algorithms and thresholds
• Maintain and document monitoring solutions

• Contribute to infrastructure automation and internal Support tools development

  

Requirements

• At least 1 year of experience in a similar position such as NOC/Tech Support engineer
• Hands-on AWS cloud experience 
• Confident Linux OS knowledge
• Network troubleshooting and configuration
• GIT and scripting skills with either Python or Bash
• Web applications architecture understanding 
• Monitoring tools (Prometheus, Cloudwatch, etc.) and principles 
• Upper-intermediate English language proficiency
• Great customer service and confident business communication skills
• Strong troubleshooting and problem-solving skills, drive to prevent incidents
• Be innovative, learn new tools and best practices
• IaaC: CloudFormation, Terraform knowledge - advantage
• CI/CD: Jenkins, ArgoCD - advantage

• Containers orchestration: Docker, Kubernetes (EKS, GKE) - advantage

   

What Success Looks Like in Year One

• You demonstrate a strong understanding of the AWS services and infrastructure components monitored across customer environments, including customer-specific dependencies, alerting logic, and operational context. You use this knowledge to perform efficient root cause analysis and reduce investigation time during incidents.
• You demonstrate confident hands-on experience with the core monitoring toolset, including Datadog, CloudWatch, Grafana, Zabbix, and PagerDuty. You can independently configure monitoring for a new customer from scratch, including alerting, dashboards, and escalation flows tailored to the customer’s infrastructure and operational requirements.
• You demonstrate strong Сustomer Obsession, critical thinking, and analytical skills by going beyond alert acknowledgment to analyse patterns across metrics, logs, and events. You apply logical reasoning to identify root causes, distinguish false positives from real issues, improve alerting quality based on your findings, and help translate this ownership mindset across the team.
• You take effective ownership of customer issues, coordinate confidently with internal and external stakeholders, including DevOps, FinOps, AWS Support, and AWS TAMs.
• You can confidently act as the main engineer on shift, support new team members during their ramp-up, and help your shift partner follow the team’s operational flow, communication standards, and escalation process.

• You have successfully achieved the AWS Certified Cloud Practitioner and AWS Certified Solutions Architect - Associate certifications, and continue developing your AWS expertise by preparing for additional certifications aligned with your professional growth path.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• Wellbeing and professional coaching
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

We're hiring a hands-on Senior DevOps Engineer to own Azure cloud infrastructure, CI/CD, and container platforms end-to-end. The work is deep Azure, heavy automation, production reliability, and close collaboration with global R&D teams in Israel and offshore.

What You'll Own

• Own CI/CD pipelines, build systems, and automation frameworks for fast, reliable delivery across teams.
• Build and manage Azure cloud-native infrastructure using Terraform and infrastructure-as-code practices.
• Define and maintain scalable container-based environments using Kubernetes and Docker-based deployments.
• Ensure production readiness, monitoring, reliability, and incident response in a fast-moving environment.
• Collaborate with global R&D teams in Israel and offshore partners across time zones.

Must-Have Skills

• Azure — deep hands-on: portal operations, architecture, networking, security, monitoring, automation, infrastructure-as-code
• Terraform / Infrastructure-as-Code
• CI/CD and source control: Azure DevOps, GitHub / GitHub Actions, Jenkins or equivalent — including ownership of production deployments
• Kubernetes in production
• Docker and container-based environments
• Production reliability: monitoring, incident resolution, security and compliance practices
• Linux / Windows environments, scripting, artifact management, modern DevOps toolchains
• 7+ years hands-on DevOps in cloud-native product environments, including production operations and release ownership

Nice-to-Have

• Azure IoT Hub, Service Bus, Event Hubs and related Azure platform services
• Cosmos DB, Redis, SQL Server, Azure Data Explorer (ADX)
• Podman, Conan, Artifactory
• AI-based DevOps productivity tools
• Bachelor's degree in Computer Science, Software Engineering or Information Systems (or equivalent practical experience)

What Sets You Apart

• Takes ownership end-to-end, follows through on commitments, stays accountable until issues are resolved.
• Proactive and practical, comfortable taking broad responsibility in a lean product team.
• Communicates clearly with distributed teams and builds a culture of accountability and production excellence.

We are looking for a DevOps Engineer with strong experience in Windows Server administration and cloud infrastructure to join our fintech product team.

This is a Windows-first role within a hybrid environment, focused on production infrastructure, automation, troubleshooting, and reliability. Cloud technologies and modern DevOps tools and practices are also an important part of the platform.

This role is a good fit for someone who enjoys infrastructure ownership, automation, practical problem-solving, and working closely with engineering teams.

Requirements:
3+ years of commercial experience in DevOps, Infrastructure Engineering, or Windows Systems Engineering, including production automation
Strong experience administering and troubleshooting Windows Server environments, including Active Directory, DNS, Group Policy, Windows Services, IIS, certificates, and performance issues
Strong PowerShell scripting skills with experience automating Windows infrastructure and operational tasks
Hands-on experience with Ansible and Terraform for infrastructure automation, configuration management, and provisioning
Experience building and maintaining CI/CD pipelines, including deployment and rollback processes
Experience working with cloud platforms (AWS, Azure, Alibaba, etc.)
Experience with monitoring and alerting systems in production environments
Experience working with MySQL in production, including backup/restore and troubleshooting
Good understanding of networking and infrastructure security, with hands-on troubleshooting experience
Experience troubleshooting production incidents, including service recovery, root cause analysis, and rollback/failover scenarios
Ability to develop and implement practical and effective infrastructure solutions
English - Intermediate or higher

Nice to Have:
Experience in fintech, trading, or CFD domain
Experience with MetaTrader infrastructure
Experience with Docker and Kubernetes
Experience with Python or C#
Experience with PostgreSQL
Experience with high-availability, high-load, or business-critical production environments
Experience with disaster recovery, failover and high-availability solutions.

Responsibilities:
Maintain and improve project trading infrastructure
Configure, support, and improve Windows Server environments
Build and maintain cloud infrastructure solutions
Automate infrastructure provisioning and operational processes using PowerShell, Ansible, and Terraform
Develop and improve CI/CD pipelines
Configure and maintain monitoring and alerting systems
Troubleshoot infrastructure issues and participate in incident resolution
Collaborate with engineering teams and stakeholders on infrastructure-related solutions
Prepare and maintain technical documentation and operational instructions
Contribute to infrastructure reliability, security, and scalability improvements

What we offer:
- 20 paid vacation days per year
- 10 paid sick leave days per year
- Public holidays as per the company’s approved Public holiday list
- Medical insurance
- Opportunity to work remotely
- Professional education budget
- Language learning budget
- Wellness budget (gym membership, sports gear and related expenses)