Jobs DevOps

We are looking for a Site Reliability Engineer (SRE) to join a global engineering team building and operating a large-scale cloud SaaS platform. In this role, you'll work closely with experienced SREs and software engineers to improve platform reliability, scalability, and operational excellence.

This position is a great fit for an engineer with experience in SRE, DevOps, or Cloud Operations who wants to deepen expertise in Kubernetes, cloud infrastructure, automation, and production engineering.

Responsibilities

• Production Reliability – Help maintain the availability, stability, and performance of our production platform while proactively identifying opportunities to improve system reliability.
• Monitoring & Observability – Improve monitoring, dashboards, and alert quality to increase production visibility and reduce alert fatigue.
• Automation – Build scripts and automation solutions that reduce manual operational work, improve engineering efficiency, and enhance production reliability.
• Production Operations & Incident Response – Participate in troubleshooting production issues, perform root cause analysis, and contribute to long-term reliability improvements.
• Cloud Platform Operations – Support and improve our Kubernetes-based cloud platform, CI/CD pipelines, and production infrastructure running on GCP and AWS.
• Engineering Collaboration – Work closely with Software Engineers, DevOps, DBAs, and Product teams to improve production reliability and operational excellence across the platform.

• On-Call & Operational Excellence – Participate in the team's on-call rotation, supporting reliable production operations. Respond to production incidents alongside experienced SREs while continuously improving operational processes and reducing manual effort through automation.

   

Requirements

• 2–3 years of experience in Site Reliability Engineering, DevOps, Cloud Operations, Platform Engineering, or a similar role.
• Hands-on experience with Kubernetes and containerized environments.
• Familiarity with public cloud platforms (GCP or AWS).
• Experience with Linux systems and basic networking concepts.
• Experience with scripting or programming (Python, Bash, or similar).
• Familiarity with monitoring and observability platforms (Datadog is an advantage).
• Strong analytical and troubleshooting skills.
• Excellent communication skills and the ability to collaborate with globally distributed engineering teams.
• A strong desire to learn, take ownership, and continuously improve systems and processes.

• A proactive mindset, strong work ethic, and the hunger to grow as a Site Reliability Engineer.

   

Nice to Have

• Experience with CI/CD pipelines.
• Familiarity with Infrastructure as Code tools such as Terraform or Ansible.
• Experience with messaging technologies such as Kafka, Pub/Sub, or Redis.
• Exposure to Canary, Blue/Green, or Feature Flag deployment strategies.
• Understanding of Site Reliability Engineering principles, including SLIs, SLOs, and error budgets.
• Experience working in cloud-native or SaaS production environments.

Key Responsibilities  

• Design, develop & maintain scalable, secure cloud infrastructure.  
• Architect and manage cloud networking, including VPC design, segmentation, and connectivity.  
• Automate CI/CD pipelines and deployments.  
• Implement proactive monitoring and alerting (CloudWatch).  
• Troubleshoot and optimise system and network performance across environments.  
• Manage IaC for consistent, reliable infrastructure.  
• Lead incident resolution and root cause analysis.  
• Collaborate on architecture, ensuring security, scalability, and operational excellence to ensure reliable application deployment and performance.  
• Continuously evaluate and recommend improvements to infrastructure and DevOps processes.  
• Participate in disaster recovery planning and system backup strategies.  
• Ensure compliance with security best practices and organisational policies.  

Must have  

• 5+ years in DevOps, SRE, or platform engineering.  
• Advanced AWS expertise (Lambda, ECS, API Gateway, S3).  
• Strong AWS networking experience, including Transit Gateway, VPC (subnets, route tables, peering), PrivateLink, Route 53, Elastic Load Balancing, NAT Gateway, and Security Groups/NACLs.  
• Proficient in Python, Bash; working knowledge of Node.js or Go.  
• Skilled in CI/CD tools (GitHub Actions, GitLab CI, AWS Codebuild).  
• Infrastructure as Code (CDK, CloudFormation).  
• Observability tools: Grafana, Datadog.  
• GitHub Enterprise, Atlassian APIs, Slack bots.  
• Event-driven architecture & microservices.  
• Significantly important - Data Platforms experience: ETL Processes, Data Injections, SageMaker, Mash Solutions etc.

Desirable  

• Familiarity with event-based architecture and microservices environments.  
• Experience designing multi-account/multi-VPC network topologies and hybrid connectivity.  
• Experience with GitHub Enterprise, Atlassian APIs, and Slack bots.  
• Proficiency with observability tools like Grafana and Datadog.  
• Understanding of cost optimization strategies in multi-cloud environments, including network/data transfer cost optimization.  

Senior DevOps Engineer (Chef / AWS / Terraform) ☁️⚙️

ZentixSoft is looking for a Senior DevOps Engineer! 🚀

Format: Full-Time Outstaffing, long-term engagement for an enterprise banking project.
 

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
⚖️ Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 
🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.

Our Perfect Match: 
1️⃣ Chef Mastery: Deep, hands-on production experience with Chef and Chef Cookbooks (this is a primary requirement—must be clearly shown on your CV). 
2️⃣ DevOps Background: 7+ years of commercial DevOps experience with strong Linux troubleshooting and system administration skills. 
3️⃣ IaC & Cloud: Advanced proficiency with Terraform, Terragrunt, and core AWS services (EC2, S3, Security Groups, VPC/Networking). 4️⃣ CI/CD & Observability: Hands-on experience building and maintaining pipelines in GitLab and setting up dashboards/alerts in Grafana. 
5️⃣ Location & Mindset: Located in the EU / Baltics with Fluent English (C1), a proactive attitude, and a strong sense of ownership.

Project Details: 
⏳ Duration: Long-term (Full-time). 
🚀 Start: ASAP. 
📍 Location: EU / Baltics.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product, with additional support for local installations. You will take ownership of designing and implementing the cloud infrastructure in the early stages of deployment, setting the foundation for how the platform will operate. The product is fully Kubernetes-based, so strong expertise in cluster management, automation, and container orchestration is essential. Because the system is high-load, ensuring reliability is the top priority. In addition, a significant part of the role involves contributing to an open-source product, developing features that benefit both the community and the platform itself.

Key Responsibilities

• Design and maintain cloud infrastructure in GCP or AWS, covering compute, storage, networking (VPCs, subnets, routing), IAM, and managed databases, using Terraform.
• Operate and manage Kubernetes clusters, including cluster administration, workload orchestration, ingress/gateway configuration, and developing custom Helm Charts.
• Build and maintain CI/CD pipelines with GitHub Actions, ArgoCD, following GitOps practices for consistent deployments.
• Implement monitoring, logging, alerting, and tracing with Prometheus, Loki and Grafana, ensuring system observability and reliable incident response.
• Design and secure cloud networking, including VPC architectures, load balancers, service meshes, and Bastion host access, while applying strong security practices.
• Collaborate with engineering teams to refine deployment strategies, improve reliability, and support smooth delivery of new features.

Qualifications
Must-Have

• Kubernetes – strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts.
• Terraform – proven experience managing infrastructure as code and operating environments on GCP.
• Cloud platforms – solid knowledge of GCP or AWS core services, including compute, storage, and managed databases.
• Cloud networking – experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity.
• Infrastructure security – practical experience with IAM, secrets management, TLS, encryption, and policy enforcement in production environments.
• CI/CD workflows – experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD.
• Databases and messaging – operational knowledge of Postgres, MongoDB, Redis, and streaming platforms such as Kafka.
• Observability – hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing.
   

Nice-to-Have

• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers.
• Experience contributing to or maintaining open-source products.
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

We're looking for a Strong Middle DevOps Engineer to design, build, and maintain cloud infrastructure for microservice-based products used in international markets.

Requirements

• 3+ years in production DevOps / Infrastructure / Platform Engineering roles
• Hands-on experience designing and maintaining infrastructure for microservice-based applications
• Strong working knowledge of at least one major cloud platform (AWS, GCP, or Azure): compute, container orchestration, managed databases, object storage, IAM, networking, serverless, load balancing, secrets management
• Ability to design infrastructure from scratch
• Networking: VPC/VNet design, subnets, security groups, NAT gateways, firewall rules
• Kubernetes — production experience with managed clusters (EKS, GKE, or AKS): Deployments, Services, Ingress, RBAC, Namespaces, ConfigMaps, Secrets, HPA
• Troubleshooting pods, nodes, networking, and storage in production
• Helm — creating and maintaining charts for microservice deployments
• Docker & Docker Compose
• Terraform — designing and maintaining multi-environment infrastructure
• GitHub Actions — building complete pipelines
• At least one additional CI/CD platform: GitLab CI, BitBucket Pipelines, or Azure DevOps
• ArgoCD / GitOps — hands-on implementation experience
• Understanding of deployment strategies: blue-green, canary, rolling updates
• Prometheus, Grafana, Loki, AlertManager
• Bash — confident scripting for automation, deployments, and maintenance
• Python — automation scripts, deployment tooling, API integrations
• DNS management: Route53, CloudFlare, or GoDaddy
• Load balancers, reverse proxies, TLS/SSL certificate management
• Ability to work as a sole DevOps engineer embedded in a dev team, or lead a small team
• Proactive approach: not just executing tasks, but proposing improvements and optimizations
• Clear incident communication and post-mortem documentation skills
• English — B2 or higher (working-level communication with international clients)

We expect engineers to actively use AI in their daily work. Experience with tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Codex, or similar is required.

You should be comfortable using AI for:

• writing and refactoring Terraform modules, Helm charts, and automation scripts;
• debugging infrastructure and pipeline issues;
• log analysis and incident investigation;
• writing tests, policies, and documentation;
• improving delivery speed and infrastructure quality.

Nice to have

• Track record of cloud migrations, zero-downtime deployments, or cost-optimization initiatives
• Experience as a sole DevOps engineer or a small-team lead
• Working-level familiarity with a second cloud — enough to support migrations or maintain existing environments; experience working across two clouds on the same project
• Terragrunt
• Custom Kubernetes Operators or CRDs
• Service mesh (Istio, Linkerd)
• Multi-cluster management, Karpenter for node autoscaling
• Pipeline optimization: parallelization, caching, ephemeral environments
• Experience improving deployment frequency from weekly to multiple times per day
• CloudWatch, Datadog
• SLO/SLI definition and tracking, incident response frameworks, on-call processes
• Secrets management: AWS Secrets Manager, Azure Key Vault, or HashiCorp Vault
• IAM policies, least-privilege access, VPC hardening
• Security scanning in CI/CD: SonarQube, Trivy, Snyk, or similar
• Supply chain security basics (image signing, SBOM)
• Compliance-driven infrastructure experience (finance, healthcare)
• Production experience administering and migrating PostgreSQL, MySQL, or MongoDB
• Managed DB services: RDS, Cloud SQL, or Atlas; database migration planning
• VPN / site-to-site connectivity
• Certifications: CKA, AWS Solutions Architect Associate/Professional, AWS DevOps Professional, CKAD, Azure Administrator, GCP ACE

What you'll do

• Design and build cloud infrastructure from scratch for microservice-based applications
• Maintain multi-environment infrastructure with Terraform
• Run and troubleshoot production Kubernetes clusters, maintain Helm charts
• Build and optimize CI/CD pipelines, implement GitOps workflows with ArgoCD
• Implement zero-downtime deployment strategies: blue-green, canary, rolling updates
• Own the observability stack — metrics, logs, dashboards, alerting
• Lead cost-optimization and cloud migration initiatives
• Manage networking, DNS, certificates, and secure access
• Handle incidents, run post-mortems, and improve reliability processes
• Propose improvements rather than waiting for tasks
• Mentor junior engineers and document what you build
• Use AI-assisted tools as part of your daily workflow

What we offer

• Competitive compensation
• Ownership of the infrastructure and real influence on architectural decisions
• Flexible working hours
• Modern cloud-native stack and development workflow
• Opportunity to work on products used in international markets
• Small team with quick decision-making and minimal bureaucracy

We're looking for a Junior DevOps Engineer to join our team and work on infrastructure for products used in international markets.

This is a growth position: you'll be embedded in real production environments from day one and learn the full cloud-native stack under direct mentorship.

Requirements

• 0.5 – 2 years of hands-on experience in DevOps, SysAdmin, or Infrastructure roles (personal projects, internships, or bootcamp labs with cloud infrastructure count)
• Confident daily work in a Linux terminal: file system navigation, permissions, process management
• systemd basics — start/stop/status services, reading journalctl logs
• SSH: key-based authentication, tunneling, config files
• Networking fundamentals: TCP/IP, ports, HTTP/HTTPS, DNS; ability to troubleshoot whether the issue is DNS, firewall, security group, or the application itself
• Understanding of one major cloud platform (AWS, GCP, or Azure): compute, storage, networking, IAM, managed databases, logging
• Ability to navigate the cloud console, read documentation, and follow existing infrastructure patterns
• Docker — confident daily use; understanding of images, layers, volumes, and networks
• Terraform — able to read, understand, and make small changes to existing configs
• Git — daily working proficiency: branching, merging, rebasing, pull requests, resolving conflicts
• Bash — simple scripts: loops, conditionals, variables, piping, grep/awk/sed for log parsing
• Understanding of VPCs, subnets, security groups, and firewalls at a conceptual level
• Attention to detail — routine operations require precision; a wrong terraform apply can be costly
• Willingness to learn and comfort with asking questions — no silent struggling for hours
• English — B1 or higher

We expect engineers to actively use AI in their daily work. Experience with tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Codex, or similar is required.

You should be comfortable using AI for:

• writing and refactoring Bash/Python scripts and Terraform configs;
• debugging pipeline and build failures;
• log analysis and troubleshooting;
• writing runbooks and documentation;
• speeding up routine operational work.

Nice to have

• GitHub Actions — reading and modifying existing workflows, fixing common pipeline failures, adding simple stages (linting, notifications)
• GitLab CI, BitBucket Pipelines, or any other CI tool
• Any Kubernetes exposure — even local (minikube, kind) or tutorials: pods, deployments, services, kubectl basics
• Any exposure to ArgoCD or GitOps concepts
• Grafana — navigating dashboards, reading graphs, basic metric queries
• Logs — searching and filtering in Loki, CloudWatch, or any log aggregator
• Prometheus basics (metrics, targets, PromQL), Alertmanager
• Python — basic level: reading and modifying scripts, simple API calls, JSON parsing
• CloudFormation or Ansible basics, understanding of state management and remote backends
• DNS record types (A, CNAME, MX, TXT), routine changes in Route53 or CloudFlare
• Load balancers, reverse proxies (NGINX), TLS/SSL certificates
• VPN / site-to-site connectivity basics
• Basic SQL and backup/restore concepts for PostgreSQL or MySQL
• Hands-on experience with a second cloud provider
• Certifications: AWS Cloud Practitioner, AWS SAA, CKA/CKAD, LPIC-1, RHCSA, HashiCorp Terraform Associate

What you'll do

• Maintain and update CI/CD pipelines — fix broken builds, add new stages, update dependencies
• Monitor dashboards and respond to alerts — first-line triage, escalate to senior engineers when needed
• Spin up and tear down dev, staging, and QA environments using existing Terraform configs
• Build, tag, push, and troubleshoot Docker images in registries
• Investigate application errors via Grafana/Loki, CloudWatch, or Datadog and write up findings
• Rotate credentials, onboard/offboard users, manage IAM at the task level
• Handle routine DNS record changes, SSL renewals, and domain configurations
• Verify backups, perform minor database maintenance, monitor replication health
• Keep runbooks, architecture diagrams, and onboarding guides up to date
• Write small automations: cron jobs, cleanup scripts, notification integrations
• Use AI-assisted tools as part of your daily workflow

What we offer

• Competitive compensation
• Direct mentorship from senior engineers and a clear growth path
• Real production environments and a full cloud-native stack from day one
• Flexible working hours
• Modern development workflow
• Opportunity to work on products used in international markets
• Small team with quick decision-making and minimal bureaucracy

Join Whitechain — Build the Future of Web3!

At Whitechain, we’re on a mission to revolutionize blockchain, smart contracts, and cryptography. As part of the WhiteBIT ecosystem, we’re building cutting-edge Web3 solutions, from our own EVM blockchain to non-custodial wallets, DeFi platforms, and GameFi experiences.We’re looking for ambitious innovators to help us bridge the gap between retail and corporate blockchain adoption. If you’re passionate about decentralization, Web3, and shaping the future of digital economies, this is your chance to make an impact!

The future of Web3 starts with you — join us as a DevOps Engineer!

Requirements

— 3+ years in DevOps / SRE / infrastructure roles
— 1 year experience with blockchain/ crypto infrastructure background (Ethereum, OP Stack or similar)
— Strong Kubernetes: deployment, debugging, network policies, Helm
— Terraform (modules, state management, multiple providers)
— CI/CD with GitHub Actions or equivalent; GitOps principles
— AWS (IAM, VPC, EC2, S3, KMS)
— Confident Linux administration and Bash scripting
— Monitoring and alerting with Prometheus / Grafana
— Git and PR-based workflow

Responsibilities

— Operate and evolve Kubernetes clusters (testnet and upcoming mainnet) via ArgoCD and Helm
— Deploy, upgrade and troubleshoot OP Stack components: op-node, op-reth, batcher, proposer, conductor
— Maintain infrastructure as code: Terraform (AWS, Cloudflare) and Ansible for node configuration
— Own and improve CI/CD pipelines (GitHub Actions): image builds, registry publishing, automated IaC tag bumps
— Maintain monitoring and alerting (Prometheus, Grafana); respond to alerts for sequencer lag, batcher stuck, L1 sync, disk
— Participate in the on-call rotation after onboarding
— Follow and keep runbooks up to date; document on-chain and operational procedures
— Configure and protect public RPC endpoints (rate limiting, Cloudflare WAF)

Good to have

— Direct OP Stack experience (op-node, op-reth, batcher, proposer, conductor)
— ArgoCD and GitOps in production
— Ansible
— Cloudflare (WAF, rate limiting, CDN)
— Key management: AWS KMS or HashiCorp Vault
— Incident response experience and postmortem writing

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

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 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

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.