Jobs DevOps

We are seeking an experienced DevOps Engineer to make the path of code, from a developer's mind to our customers, as fast, secure, and efficient as possible. You will be the architect of the "software delivery highway" for a project that deploys FE & BE code to Kubernetes, using Postgres and S3 resources hosted in AWS. The code repository is hosted in Bitbucket, where the existing (inadequate) CI/CD pipelines run. The application is currently hosted on Vercel, and we intend to migrate the runtime to Kubernetes.

Responsibilities

• Understand how NextJS applications are typically configured and deployed to Kubernetes.
• You can define a build process for dynamic environments such as for QA which partitions resources per Jira epic, including set up and tear down of Postgres DB, S3 bucket and sensible configuration management, deploying code from a specific git branch.
• You will define a release process that promotes and rolls back code and manages database migrations while minimizing disruption. This includes promoting code from QA to staging, and from staging to production.
• Manage and optimize Postgres and Object Storage infrastructure connected to NextJS deployments.
• Ensure compliance with AWS security best practices and governance policies.
• Experience defining and debugging Bitbucket CI/CD and scripting with Bash, Python, etc.
• Participate in architectural decisions, providing the infrastructure’s point of view.
• Help on writing and diagnosing issues with CI/CD pipelines, preferably with Argo CD.
• Work closely with development teams to ensure smooth integration of tools.
• Communicate technical information effectively to both technical and non-technical stakeholder

Must-have requirements for this position

• At least 5 years of experience in SRE/DevOPS role or a related field.
• Strong understanding of AWS or GCP services and infrastructure management.
• Strong understanding of Bitbucket CI/CD build pipelines.
• Understanding of NextJS deployed to Kubernetes (Vercel understanding desirable), defining QA, staging & production environments and configuration management.
• Proven track record of managing complex environments and troubleshooting technical issues.
• Excellent problem-solving and analytical skills.
• Strong knowledge of IaC tools (Terraform, Ansible, etc) and git.
• Experience with shell scripting, python and/or automation tools.
• Knowledge of cloud security best practices and compliance frameworks.
• Strong communication and collaboration skills
• Ability to work effectively in a fast-paced environment
• Bachelor's degree in Computer Science or equivalent experience.

What we offer

• Competitive compensation depending on experience and skills.
• A friendly team of like-minded people.
• Compensation for sick leaves.
• 21 working days paid vacation + all Poland national holidays.
• English classes.
• Corporate events and activities.
• Multisport card.
• Private medical care.

🚀 DevOps / CI/CD Engineer

📍 Remote | Full-time

We are looking for a Middle+/Senior DevOps Engineer to work with multi-platform CI/CD automation.

💼 Responsibilities:

• Build and maintain CI/CD pipelines

• Automate build, test, and deployment processes

• Manage artifacts, environments, and deployments

• Implement code quality checks and optimize performance

🛠 Tech Stack:

• Salesforce (CP, CI, SM, AR): package build & deploy, scratch orgs, quality gates

• AWS: Maven, JaCoCo, SonarQube, Docker (Jib), Nexus

• MuleSoft: API promotion, deployments

• Snowflake: environment setup, deployments, rollback

• DSMS/Box: folder setup, webhooks

• Looker: dashboards & models

• Kafka: topics, API keys, config

✅ Requirements:

• 3–5+ years in DevOps / CI/CD

• Experience with AWS, Docker, CI/CD pipelines

• Knowledge of SonarQube, ESLint, PMD

• Experience with integrations and automation

🎁 What We Offer:

• Remote-first environment with flexible working hours

• Work on complex, high-impact bioinformatics projects

• Opportunities for professional and technical growth

• Supportive and highly skilled team

📩 Send your CV — we’d love to connect!

DevSecOps Engineer (Short-Term Project, with potential ongoing advisory support)

We are looking for a DevSecOps Engineer with 3+ years of experience to help audit, strengthen, and improve the security posture of a small but growing SaaS platform serving nonprofit and corporate clients.

This role is security-first, with DevOps responsibilities as a secondary layer. The main goal is to assess the current infrastructure, identify security and compliance gaps, and implement a practical roadmap to improve the platform’s overall resilience, compliance readiness, and long-term sustainability.

Project scope:

- Initial security and infrastructure audit

- Identify risks, vulnerabilities, and operational gaps

- Build and prioritize a remediation roadmap

- Implement key improvements over a 2–3 month engagement

- Potential for ongoing periodic security reviews and advisory support afterward

Current stack / environment:

- Git

- GitHub Actions

- Docker

- AWS

- Render

What you will do:

- Audit the current cloud and application setup from a security and DevSecOps perspective

- Review infrastructure, deployment processes, DNS configuration, access controls, and backup/disaster recovery practices

- Identify gaps related to SOC 2 readiness and help prepare for stronger enterprise security expectations

- Assess security controls around CI/CD, secrets management, container images, user access, and production environments

- Review existing vulnerability scanning practices and recommend improvements, including dynamic scanning where needed

- Help define and implement practical controls such as firewalling, hardening, monitoring, least-privilege access, and security hygiene improvements

- Investigate risks related to DNS, exposed services, stale records, misconfigurations, and other overlooked infrastructure issues

- Support the team in creating a sustainable, right-sized security approach for a small organization without overengineering

- Translate findings into an actionable roadmap with clear priorities, balancing risk, cost, and implementation effort

- Help improve confidence in responding to enterprise security questionnaires from large corporate clients

What we are looking for:

- 3+ years of hands-on experience in DevSecOps, DevOps with a strong security focus, or cloud/infrastructure security

- Strong experience with AWS and cloud security best practices

- Experience with GitHub Actions, CI/CD security, Docker, and container/image scanning

- Experience reviewing and securing hosted platforms, including PaaS environments such as Render or similar

- Solid understanding of IAM/access control, secrets management, DNS security, backups, disaster recovery, and infrastructure hardening

- Experience identifying and remediating security gaps in small or mid-sized SaaS environments

- Familiarity with SOC 2 controls and general compliance-oriented security practices

- Ability to recommend pragmatic, cost-conscious solutions for a small team

- Strong communication skills and ability to explain risks, tradeoffs, and priorities clearly to non-security stakeholders

- English level: B2 minimum

Availability requirements:

- Must be available for overlap from 14:00 to 16:00 Mountain Time (MT)

- Outside of that window, the working schedule is flexible

Nice to have:

- Experience with GDPR readiness or compliance-related security improvements

- Experience supporting penetration testing remediation

- Experience with SSO/security controls for B2B or enterprise clients

- Experience working with lean startups, nonprofits, or small product teams

Ideal profile:

This role is a great fit for someone who can independently assess a relatively simple SaaS environment, uncover blind spots, and implement the highest-impact security improvements without creating unnecessary complexity. We are looking for someone practical, hands-on, and able to combine audit thinking with execution.

Engagement:

- Estimated initial duration: 2–3 months

- Potential for ongoing part-time or periodic audit/advisory support

We are looking for a DevOps Engineer to design, build, and operate the infrastructure behind our LLM platform. You will be responsible for keeping our ML infrastructure reliable, scalable, and efficient — from data pipelines to training and inference.

In this role, you will develop and maintain CI/CD pipelines, orchestration workflows, and observability for distributed ML workloads across GPU/TPU/CPU environments.

This is a DevOps-first role with strong exposure to ML infrastructure. You will work closely with ML Engineers and Data Engineers, while focusing on building a robust, automated, and production-grade platform that accelerates model development and delivery.

Responsibilities:

• Design, build, and operate scalable ML infrastructure on GCP (GKE), supporting both experimentation and production workloads for LLMs and NLP systems.
• Manage Kubernetes-based environments (GKE): deployment, scaling, upgrades, and reliability of training and inference workloads across GPU/TPU/CPU pools.
• Build and maintain CI/CD pipelines (GitHub Actions, Jenkins) to automate testing, training, and deployment of ML services and infrastructure.
• Implement infrastructure as code (Terraform, Ansible) to provision and manage cloud resources in a reproducible, secure, and cost-efficient way.
• Ensure observability of ML systems: monitoring, logging, and alerting for infrastructure, pipelines, and production inference workloads.
• Collaborate with ML engineers and Data Engineers to design and support reliable training and inference pipelines.
• Optimize resource utilization and cost, improving efficiency of training and serving infrastructure.
• Troubleshoot and resolve issues across the ML platform — from data pipelines to distributed training and production deployments.
• Contribute to engineering best practices: code reviews, automation, and continuous improvement of platform reliability and developer experience.

Required Qualifications:

• Experience: 4+ years in DevOps, Platform Engineering, or ML Infrastructure roles, with strong understanding of production systems and distributed workloads.
• Cloud & Infrastructure: Hands-on experience with GCP. other major cloud platforms is a plus. Strong understanding of cloud-native architectures and experience designing scalable systems for compute and data-intensive workloads.
• Kubernetes & Containers: Solid experience with Docker and Kubernetes (preferably GKE), including deploying, scaling, and operating production workloads. Familiarity with Helm and Kubernetes networking fundamentals.
• CI/CD & Automation: Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar) to automate testing, deployment, and infrastructure changes.
• Workflow Orchestration: Experience with Airflow (or similar tools).
• Infrastructure as Code: Strong experience with Terraform (preferred) or similar tools for provisioning and managing infrastructure in a reproducible way.
• Programming: Strong hands-on scripting languages experience (Bash and/ or Python).
• Observability & Reliability: Experience with monitoring and logging systems (e.g., Prometheus, Grafana). Understanding of reliability, alerting, and debugging in distributed systems.
• ML Infrastructure Understanding: Familiarity with the ML lifecycle (training, evaluation, inference) and experience supporting ML workloads in production environments.
• Collaboration: Ability to work closely with ML Engineers and Data Engineers, translating ML requirements into reliable and scalable infrastructure solutions.

What we offer:

• Office or remote — it’s up to you.
• Remote onboarding
• Performance bonuses
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
• Health and life insurance
• Wellbeing program and corporate psychologist
• Reimbursement of expenses for Kyivstar mobile communication

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

Key Responsibilities

• Infrastructure Support: Maintain and optimize cloud infrastructure, primarily on AWS (EC2, S3, Lambda) and support deployment environments managed via Coolify, manage Hetzner bare metal servers, and handle administration and troubleshooting of Linux-based systems.
• Build Stabilization: Diagnose and resolve build failures related to Payload CMS, MongoDB, and Node.js.
• CI/CD Management: Assist in maintaining and fixing CI/CD pipelines (GitHub Actions, GitLab CI, etc.) to ensure smooth deployments.
• Access & Security: Manage user permissions, IAM roles, and environment security.
• Monitoring & Logs: Monitor system performance, manage logs, and assist in rapid incident resolution.

• Team Collaboration: Work closely with developers to hotfix infrastructure-related blockers as they arise.

   

Requirements

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

Work Format

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

Focus: Support and optimization of existing production environments.

Requirements: 
— Experience with the cloud provider(s): Google Cloud, Amazon AWS, Microsoft Azure
— CNCF Landscape — experience working with some of the projects
— Kubernetes, terraform, gitops, ansible
— Documentations

Nice to have:
— CNCF’CKA
— Gitlab CI/CD, Apache Kafka,
— NoSQL: MongoDB, Redis, and Elasticsearch.
 

Responsibilities:

—Assist with migrate of the existing environment into Kubernetes world using nothing but best practices (CI/CD)
—Assist in daily infrastructure and operations by performing various tasks
—Able to log time spent against the correct tickets and help maintain a strong degree of team efficiency

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

Requirements

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

Nice to Have (Optional & Plus):

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

Job responsibilities

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

About the Role

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

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

Overview

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

Core Stack

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

Key Responsibilities

AWS Infrastructure

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

CI/CD & Developer Experience

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

Kubernetes & Container Orchestration

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

Observability & Reliability

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

Security & Compliance

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

Database & Data Infrastructure

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

Disaster Recovery

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

Requirements

Must-have:

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

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

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

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

Requirements

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

– Lambda

– API Gateway

– Step Functions

– S3

– IAM

– CloudWatch

– VPC networking

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

– AI/ML production infrastructure

– Data pipelines

– RAG system infrastructure requirements

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

Nice to Have

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

Job responsibilities

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

– AWS Lambda services

– API Gateway

– Step Functions

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

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

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior DevOps to join its innovative team.

Infrastructure as Code (IaC) & Automation:

• Design, implement, and manage AWS infrastructure using Terraform
• Automate provisioning and configuration management with Ansible
• Maintain idempotent & reusable IaC code for environments (dev, staging, prod)
• Implement infrastructure changes via GitOps workflows (PRs & approvals)
• Optimize cloud resources for cost vs. performance balance

Cloud & Server Management (AWS):

• Set up and maintain EC2, EKS, DynamoDB, RDS (PostgreSQL), S3, VPC, IAM, Route53
• Design secure networking (VPC, Subnets, Security Groups, VPN, Route53)
• Manage IAM roles, permissions, policies with least privilege principle
• Optimize AWS resources for cost-efficiency (rightsizing, auto-scaling, reserved instances, saving plans)

CI/CD Pipelines:

• Design and maintain CI/CD pipelines using GitLab CI/Jenkins
• Ensure zero-downtime deployments

Database & Messaging System Management:

• Deploy, configure, and optimize RDS PostgreSQL & DynamoDB
• Implement backups and failover strategies
• Fine-tune database query performance, caching, and connection pooling
• Manage RabbitMQ clusters, queues, and message durability

Monitoring & Observability:

• Set up and manage Prometheus, Grafana, and Loki for monitoring & logging
• Create dashboards & alerts for system health, performance, and failures
• Use distributed tracing tools (e.g., OpenTelemetry) for debugging

Security & Compliance Best Practices:

• Implement IAM best practices (least privilege, MFA, role-based access control)
• Enforce network security (VPC isolation, security groups, WAF, private endpoints)
• Manage secrets & sensitive data securely via AWS Secrets Manager
• Ensure automated security patching for OS and dependencies
• Regularly conduct security audits, vulnerability scans, and compliance checks

Backup & Disaster Recovery:

• Set up automated backups for databases & critical systems
• Implement disaster recovery plan according to RPO (Recovery Point Objective) and RTO (Recovery Time Objective)
• Test disaster recovery plans with periodic simulations

We’re looking for a Senior DevOps Engineer to join our team. 

About Us:

Together with the client’s team you’ll be building a next-generation cloud-based security platform as a backend engineer with strong infrastructure expertise.

The team is working on products that enable security teams to orchestrate forensic investigations, run custom scripts at scale, and respond rapidly to cyber threats across millions of endpoints. The platform powers automated forensic evidence collection, customizable forensic profiles, and streamlined incident response workflows - all within a unified console alongside EDR data.

This role focuses on infrastructure migrations to modernize our platform and improve scalability.

Responsibilities:

• Plan and execute infrastructure migrations across multiple environments
• Manage Kafka infrastructure including consumers, producers, and cluster configurations
• Implement infrastructure-as-code for repeatable deployments
• Migrate services to new cloud proxy architectures
• Work with established migration patterns and documentation
• Coordinate with cross-functional teams on dependencies and rollouts

Requirements:

• 5+ years of infrastructure/backend development experience
• Proficiency in Python or Go
• Proficiency in Kubernetes and container orchestration
• Experience with infrastructure-as-code (Terraform)
• Experience with relational databases
• Experience with AWS or GCP cloud platforms
• Strong communication skills and ability to work in hybrid/remote teams
• Self-directed with ability to work independently
• It'd be great if you have experience with: ArgoCD and GitOps workflows; nginx and cloud proxy patterns; Large-scale distributed systems
• Upper-Intermediate level of English

Job Description

Must have:

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

Nice to have:

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

Job Responsibilities

Platform Engineering

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

Developer Enablement

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

Platform Reliability & Observability

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

Department/Project Description

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

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

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

Responsibilities 

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

Requirements 

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

Technologies that we use 

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

We offer 

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

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

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

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

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

Role

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

What you’ll do

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

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

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

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

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

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

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

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

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

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

Requirements

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

·      Strong production experience with networking and Kubernetes

·      Experience operating AWS infrastructure in production, especially EKS

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

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

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

·      Experience with infrastructure as code, ideally Terraform

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

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

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

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

Nice to have

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

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

·      Experience using AI tools productively in engineering workflows

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

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

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

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

Role

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

What you’ll do

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

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

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

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

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

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

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

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

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

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

Requirements

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

·      Strong production experience with networking and Kubernetes

·      Experience operating AWS infrastructure in production, especially EKS

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

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

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

·      Experience with infrastructure as code, ideally Terraform

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

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

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

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

Nice to have

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

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

·      Experience using AI tools productively in engineering workflows