Jobs DevOps

Description

Step into a mission-critical role at the intersection of Generative AI and life-saving technology. We are partnering with a titan of Japanese industry to revolutionise how medical and industrial equipment is managed in hospitals and facilities worldwide. You will be a founding member of a team building a sophisticated GenAI platform designed to provide instant, intelligent access to complex product knowledge—from assembly and configuration to intricate repair procedures. This project is in its infancy, offering you the unique “greenfield” opportunity.

Requirements

Must Have
Extensive experience as a Senior DevOps / Cloud Engineer supporting cloud-native platforms.

Strong hands-on experience with Microsoft Azure, including:
Azure Data Lake Storage (ADLS Gen2)
Azure Functions
Azure Event Grid
Azure AI Services / Azure OpenAI (from an infra & security perspective)
Azure Monitor, Log Analytics, Azure Cost Management

Solid experience with Infrastructure as Code (IaC) using Terraform and/or Bicep.
Strong knowledge of CI/CD pipelines using Azure DevOps (pipelines, artifacts, environments).
Experience designing and operating event-driven architectures.
Strong understanding of security best practices:
– Microsoft Entra ID (Azure AD)
– RBAC, Managed Identities
– Azure Key Vault
Experience supporting data platforms (ETL pipelines, storage layers, batch processing).
Comfortable working with evolving architectures.
Strong troubleshooting skills across cloud infrastructure, networking, and application layers.

Nice to Have
Experience operating or designing on-prem or hybrid Kubernetes environments.
Experience with Azure Databricks and data engineering workloads.
Familiarity with AI/ML platform operations (model deployments, quotas, scaling, monitoring).
Experience with cost optimization for data- and AI-heavy Azure workloads.
Exposure to regulated or industrial domains (Healthcare, Manufacturing, Industrial Equipment).
Knowledge of security/compliance frameworks.

Job responsibilities

As a Senior DevOps Engineer, you will be responsible for designing, implementing, and operating the infrastructure that supports a modern data and AI-driven platform. You will play a key role in enabling a secure, scalable, and reliable environment that supports data ingestion, AI-driven enrichment, semantic search, and user-facing applications.

Your responsibilities include:
Designing and maintaining Azure cloud infrastructure for data ingestion, processing, enrichment, and search workloads.
Implementing and managing CI/CD pipelines for application, data processing, and infrastructure components.
Establishing secure access patterns using Entra ID, Managed Identities, and Azure Key Vault.
Operating and monitoring event-driven processing pipelines based on Azure Functions and Event Grid.
Collaborating closely with data engineers, ML engineers, and solution architects to ensure infrastructure aligns with platform evolution.
Implementing monitoring, logging, and alerting to ensure operational reliability.
Managing cost visibility and optimization as cloud usage grows.
Contributing to future initiatives involving Kubernetes-based ingestion, advanced data processing, and enterprise-scale operations

We’re looking for a proactive DevOps Engineer to join our growing team. You’ll build and run CI/CD pipelines, manage AWS infrastructure with Terraform, and support containerized and serverless workloads running on ECS, EKS, and Lambda. This role offers hands-on experience across multiple projects and the chance to level up your DevOps skills in a dynamic environment.

Key Responsibilities:

• Build, maintain, and improve CI/CD workflows;

• Monitor system health, troubleshoot issues, and improve observability;

• Contribute to infrastructure design in collaboration with developers;

• Manage AWS and Terraform infrastructure;

• Provide ongoing support and implement optimizations for existing projects to ensure performance and reliability;

• Collaborate with developers, offering guidance and assistance in addressing technical challenges;

• Communicate directly with the client side to gather requirements, share updates, and provide technical information;

• Participate in incident response and contribute to post-mortem analyses;

• Continuously monitor cloud and infrastructure costs, identifying opportunities for optimization and cost-efficiency improvements.

Requirements:

• 3+ years of hands-on experience as a DevOps Engineer in an IT outsourcing company;

• Solid practical experience with AWS: IAM, VPC, ECS/Fargate, Lambda, API Gateway, SQS, RDS/DynamoDB, CloudFront, Route 53 (GCP/Azure is a plus);

• Experience in building CI/CD pipelines (preferably GitHub Actions);

• Proficient with Docker and Docker Compose;

• Experience with secrets management (HashiCorp Vault, AWS Secrets Manager);

• Understanding of DevSecOps practices: IaC scanning (Checkov), SAST/container scanning, WAF;

• Comfortable with Linux (Ubuntu/CentOS): administration and troubleshooting;

• Hands-on experience with Terraform (modules, remote state; Terraform Enterprise/Cloud is a plus);

• Automation of routine tasks, hands-on experience with one of the configuration management systems (Ansible is a plus);

• Knowledge of relational and non-relational databases and their deployment on cloud platforms;

• Scripting skills in Bash, Python, or similar;

• Awareness of monitoring/logging tools (ELK, CloudWatch, New Relic);

• Experience in incident response and conducting post-mortem analysis to prevent future problems;

• Confident written and spoken English (B2 level or above);

• Proactive mindset, continuous learner, and skilled at justifying technical decisions;

• Excellent time management skills and willingness to handle multiple tasks;

• Problem-solving skills and attention to detail;

• Bachelor’s or Master’s degree in a technical field.

We offer:
• Transparent financial motivation;
• Remote workplace or a comfortable office in the center of Kyiv;
• 18 working days of paid leave annually;
• 10 working days of paid sick leave annually;
• Compensation for our English-speaking club — 100%;
• Compensation for AI tool of your choice — 100%;
• Compensation for coworking spaces — 100%;
• Compensation for gym memberships and professional courses — 50% (after the trial period);
• Compensation for any English courses — 50% (after the trial period);
• Compensation for sessions with a psychologist — 50% (after the trial period);
• Medical insurance (after the trial period).

Interview Stages:
Screening Interview ➡️ Technical Interview ➡️ Job Offer

If you have the skills, passion, and determination we’re looking for, apply now to become part of our exciting journey ⭐️

Employment Type: Full-Time, 100% Remote

Language Requirement: Upper-Intermediate English

We are looking for an experienced Site Reliability Engineer (SRE) to join our client's Gambling Product Team.

In this role, you will be responsible for maintaining the reliability, availability, security, and performance of our cloud-based infrastructure and distributed applications.

You will work extensively with AWS,  Kubernetes (EKS),  and cloud-native technologies, focusing on production operations, incident response, infrastructure maintenance, monitoring, and continuous improvement.

You will collaborate closely with software engineering, DevOps, and security teams to ensure stable and secure operations in a highly available, regulated production environment.

Required Qualifications & Skills

• 5+ years of experience in Site Reliability Engineering, DevOps, Cloud Infrastructure, or a similar production operations role.
• Strong hands-on experience with AWS infrastructure, including EKS, RDS, S3, Route 53, VPC, ECR, EC2, ElastiCache, and IAM.
• Solid understanding of AWS networking, security groups, routing, access controls, and policy management.
• Strong practical experience operating and troubleshooting production Kubernetes clusters.
• Experience with Kubernetes cluster management, upgrades, maintenance, and troubleshooting.
• Good understanding of Kubernetes primitives, including Pods, Deployments, Services, Ingresses, Endpoints, and other workload resources.
• Experience with Karpenter, Kubernetes node management, autoscaling, and monitoring.
• Experience with secrets management, secret rotation, and emergency access procedures.
• Experience troubleshooting distributed systems and diagnosing complex production incidents.
• Familiarity with monitoring, observability, logging, and telemetry practices.
• Understanding of SLAs, incident management, root cause analysis, and operational runbooks.
• Good understanding of security principles, data access policies, and production availability requirements.
• Experience with Git, GitHub, and GitHub-based workflows.

• Availability and reliability for participation in a rotating on-call schedule.

   

Nice to Have

• Experience with Cilium and Kubernetes networking.
• Familiarity with Kubernetes Gateway API.
• Experience working in regulated industries, particularly iGaming, gambling, or financial services.
• Experience with Infrastructure as Code tools such as Terraform.
• Experience with CI/CD pipelines and GitHub Actions.
• Programming or scripting experience with Go, Python, or Bash.
• Familiarity with AI agents, agentic workflows, and AI-assisted infrastructure operations.
• Experience with automated incident investigation, remediation, or operational tooling.

Description

GlobalLogic/Hitachi Digital is partnering with a leading global threat intelligence platform to design and deliver an enterprise-scale Human-in-the-Loop (HITL) AI agent platform. The initiative aims to accelerate expert analyst decision-making by combining generative and agentic AI with human expertise.

As a Senior ML Ops Engineer – GCP, you will play a key role in building and operating the Google Cloud infrastructure behind this platform. Your responsibilities will include infrastructure as code, deployment automation, model serving, automated retraining pipelines, and secure integration with enterprise data systems. You will also lead production operations and Hypercare, ensuring the platform remains reliable, secure, and scalable after go-live. The initial engagement is planned for 4 months, with the possibility of extension depending on project needs.

Fully remote.

Requirements

• 5+ years of experience in DevOps or platform engineering, including at least 2 years supporting ML workloads in production.
• Strong hands-on experience with Google Cloud Platform (GCP) and Terraform.
• Experience with Vertex AI Pipelines, Endpoints, and Model Registry, or an equivalent MLOps platform.
• Experience building CI/CD pipelines using Cloud Build or GitHub Actions, working with containers, and deploying workloads on Kubernetes.

• Experience implementing enterprise security controls, including IAM, secrets management, and network security perimeters.

  Nice to have:

• Experience with inference optimization techniques, such as ONNX and quantization.
• Familiarity with MLflow, LLM observability tools, and data engineering in BigQuery.

• Relevant Google Cloud certifications, such as Google Cloud Professional-level certifications.

   

Job responsibilities

• Design, provision, and manage cloud infrastructure using Terraform, including Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, Cloud SQL, Secret Manager, IAM, and VPC Service Controls.
• Build and maintain CI/CD pipelines for services and ML models, including model registry and experiment tracking capabilities.
• Deploy and optimize ModernBERT model serving to achieve low-latency, cost-efficient inference at scale.
• Automate model retraining based on feedback volume or model drift, with validation and approval gates before promoting models to production.
• Build and operate the data infrastructure supporting analyst feedback and precedent data, using BigQuery and a vector store.
• Implement secure, auditable access to the client’s MCP servers, including authentication, token management, and Cloud Logging.
• Establish observability for system performance, inference latency, cost, and model quality; lead Hypercare, production monitoring, and incident response.

We're looking for an ambitious, hands-on Lead DevOps Engineer to build and scale the reliability and infrastructure function at ARIMLABS.

Our platform runs AI coding agents in cloud sandboxes, many times in parallel, to build and quality-check reinforcement-learning tasks for frontier AI labs. Every run is real, paid compute. The platform ships to production continuously, and it has to stay working and available while it is being built. This is an opportunity to own that from zero to one, establish the practices from scratch, and potentially grow into leading the team that keeps it running.

What You'll Do

• Build reliability from 0 to 1: Establish on-call, incident response, SLOs and runbooks where none exist yet, and keep the platform available while it changes underneath with heave AI coding.
• Scale the platform horizontally: Move process-local coordination into shared state, so our workers can run as many replicas without double-booking capacity or paying for work twice.
• Run the data layer: Own PostgreSQL, Redis and the job queue in production, including connection budgets, pooling, migration safety, backups and restore drills.
• Make failures loud: Build observability with Prometheus, Alertmanager and Grafana that ends at a person who can act, not at a dashboard.
• Own the DevOps foundation: CI/CD in GitHub Actions, infrastructure as code with Terraform on GCP and Render, reproducible container images, and secrets management.
• Treat cost as an engineering metric: Find the unit drivers behind hosting, network, sandbox and model spend, and change the system to move them.
• Shape the future team: Hire and grow the engineers who join after you, and potentially lead the function as it expands.

What We're Looking For

• Proven production experience: A track record of running production systems as an SRE, DevOps or platform engineer, with real on-call ownership.
• Strong Python: Including asyncio. Many of our reliability fixes live in application code, and you'll write and review them. We're AI fans - if you can vibecode and automate your work - we'll support that.
• Solid infrastructure fundamentals: PostgreSQL, a job queue (arq, Celery, Sidekiq, Temporal or similar), Linux and containers, Terraform and GitHub Actions.
• Builder mentality: You enjoy taking a fragile system and turning it into a dependable one, step by step, without stopping the business.
• Strong ownership and autonomy: You take responsibility for the things nobody else sees, because you see them. You drive them to measurable results without constant supervision.
• Scalable thinking: You design for the platform at ten times today's volume, not only for this week.
• Ambition and drive: A highly motivated, resourceful and results-oriented person who wants to grow quickly, works hands-on, and is ready to lead a team forward.

We value demonstrated achievements, intellectual curiosity and the ability to execute over years of experience or impressive job titles.

Nice to Have

• Experience building an SRE or DevOps function from scratch, particularly in a startup or high-growth company.
• Experience combining hands-on engineering with team leadership.
• Experience running fleets of ephemeral sandboxes or CI runners (Firecracker, Daytona, E2B, Modal, Kubernetes job runners).
• Experience operating LLM- or agent-heavy workloads: rate limits, token budgets, cost per run.
• A track record of cutting a cloud bill substantially by finding what actually drove it.
• GCP experience (IAM, GCS, GCE, Cloud Run).

• Comfort working alongside AI coding agents, and reviewing their output critically.

   

Why Join ARIMLABS?

• Build something from scratch: Take ownership of an entire engineering function and decide how our platform is run.
• Exceptional growth opportunities: Join a fast-scaling AI research company at an early stage, grow alongside the business, and potentially lead your own team.
• High autonomy: Freedom to experiment, make decisions and build systems without unnecessary bureaucracy.
• Work with exceptional people: Collaborate with highly skilled researchers, engineers and domain experts working on challenging problems at the frontier of artificial intelligence.
• Exposure to frontier AI: Run infrastructure where frontier AI agents do real work every day.
• Entrepreneurial environment: Work in a company that values initiative, speed, ownership and ambitious thinking.
• Career flexibility: Shape your long-term career toward reliability and platform leadership, or broader engineering leadership, as the organization expands.

Compensation & Working Conditions

• Engagement: B2B contract.
• Compensation: Competitive fixed compensation. Additional bonuses for defined milestones
• Time off: 24 days of paid time off annually.

N-iX is looking for Lead DevSecOps Engineer (Azure, Terraform, Sentinel)

Over 1.5 million customers and more than a billion people in over 180 countries use Customer solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Client unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using our product companies can create, commit, and manage agreements.

We are seeking a skilled and motivated engineer to join our Threat Detection Engineering team for an Infrastructure-as-Code migration initiative. Reporting to the Manager of Threat Detection Engineering, you will be responsible for the migration of Microsoft Sentinel and associated Azure resources that power our threat detection capabilities to Infrastructure-as-Code (Terraform). This role requires a strong software engineering, DevOps, and cloud engineering foundation and a focus on system reliability.

Team Overview:

Security Operations, comprising Threat Intel, Detection Engineering, and CSIRT, identifies and mitigates threats through detection building, alert analysis, and forensic investigations. We are proactive, engineering-oriented, intent-driven problem-solvers dedicated to securing the business. We prioritize trust, safeguarding customer data, and platform integrity. Our dynamic and global team innovates at speed with cutting-edge tech, fostering continuous improvement and proactive defense against evolving threats. 

Detection Engineering forms the backbone of our data platform and detection operations, designing and engineering the pipeline and developing code and detections to provide for its efficacy. This pipeline powers our software engineering-based monitoring service, enabling the identification of relevant threats and delivering actionable alerts to the CSIRT for effective response.

Responsibility:

• Transition the configuration of existing Microsoft Sentinel and Azure resources (used to collect, process, and ingest security telemetry) to Infrastructure-as-Code (Terraform).
• Build, automate, and manage Azure resource configuration leveraging GitHub and Azure DevOps (ADO) pipelines.
• Demonstrate software engineering principles throughout the migration lifecycle, including using version control, automated testing, and continuous integration/continuous deployment (CI/CD) pipelines to eliminate breaking changes and false negatives.
• Partner effectively with the Threat Detection Engineering team to establish repeatable, scalable documentation around automated infrastructure deployment.
• Clearly and concisely communicate technical security concepts, infrastructure findings, and migration status updates to both technical and non-technical stakeholders.

Requirements

Basic:

• 7+ years of progressive experience in Software Engineering, DevOps, Cloud Engineering, or Cybersecurity, with at least 2+ years explicitly focused on Infrastructure-as-Code automation (Terraform) and provisioning cloud platform environments.
• Direct, hands-on proficiency building, managing, and maintaining secure continuous integration and continuous deployment (CI/CD) pipelines within both GitHub and Azure DevOps (ADO).
• Deep technical expertise in provisioning and managing cloud infrastructure using Terraform, including state file management, modular development, and executing zero-downtime refactoring.
• Direct experience configuring and optimizing Microsoft Sentinel SIEM environments, with a specific focus on deploying the associated Azure resources used for security log collection and ingestion via code.
• Highly proficient in programming languages like Python or Go, alongside scripting tools (e.g., PowerShell, Bash), specifically tailored for system automation, cloud platform interactions, and custom API integrations.
• Demonstrated ability to author clean, comprehensive engineering documentation, including architectural mappings of cloud deployments and exhaustive inventory tracking of resources maintained under Terraform management.

Preferred:

• Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field ; advanced security or cloud engineering certifications (e.g., Microsoft Certified: DevOps Engineer Expert, Azure Security Engineer Associate, or HashiCorp Certified: Terraform Associate are a distinct advantage.
• Experience managing large-scale infrastructure deployments across complex, multi-tenant cloud environments.
• Strong foundational background in security-focused software engineering, DevSecOps, or automation-heavy system architecture.
• Proven history of collaborating effectively across engineering, infrastructure, and security operations teams to drive architectural excellence.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Our client is a fast-growing, fast-paced software development organization with a mission to build new ways of interacting with information. They leverage intellectual property and their cloud infrastructure expertise to address complex, real-time data and analytics needs in the enterprise. Their teams are comprised of successful people who enjoy solving problems, engaging in substantive technical discussions, and have a strong passion for their work. They have high expectations in terms of skill, motivation, self-organization, and productivity. They value people who excel at working in collaborative, virtual, and collocated groups, and who thrive in fast-paced Agile development environments.
 
About the Role:
We are seeking a Senior DevOps Engineer for our client. In this role, you will take ownership of building a new AWS tenant from scratch, including the full environment setup and ongoing management. You will play a key role in managing EKS clusters for Kubernetes workloads and implementing robust CI/CD pipelines using tools like GitHub Actions. This is a long-term engagement.
 
Responsibilities:
 

• Design, build, and maintain AWS infrastructure starting from the ground up.
• Manage EKS clusters and ensure high availability, scalability, and security of Kubernetes environments.
• Develop and maintain Infrastructure as Code (IaC) using Terraform/Terragrunt.
• Implement and manage CI/CD pipelines (e.g., GitHub Actions) to support seamless deployments.
• Monitor system performance, troubleshoot issues, and optimize cloud resources.
• Ensure best practices in cloud security, cost optimization, and reliability.
• Collaborate closely with development teams to align infrastructure with application needs.
• Provide technical leadership, guidance, and mentorship to junior team members when needed.

Requirements:
 

• 7+ years of professional experience in DevOps, Cloud Infrastructure, or related roles.
• Proven experience with AWS services and building secure, scalable cloud environments from scratch.
• Experience with setting up and administering ElasticSearch nodes on EC2 instances.
• Practical experience with Terraform (and ideally Terragrunt) for Infrastructure as Code (IaC).
• Hands-on experience building and maintaining Docker containers.
• Experience with AWS ECS and ECR for container orchestration and registry.
• Strong experience with Kubernetes and AWS EKS cluster management (desired especially if collaborating with internal platform teams).
• Familiarity with AWS core services such as ALB, networking, IAM, S3, EC2, Fargate, and other commonly used services.
• Solid knowledge of CI/CD pipelines and tools, preferably GitHub Actions.
• Good understanding of networking, cloud security, and monitoring best practices.
• Monitoring: Experience with logging and observability tools such as Grafana, Loki and Tempo ..etc
• Scripting: Good scripting skills in Python or Bash
• EKS: Experience with Karpenter is a plus
• GPU: Experience with GPU nodes is a plus
• Excellent problem-solving and troubleshooting skills.
• Comfortable working independently and proactively in a dynamic environment.
• Strong communication skills and ability to collaborate with distributed teams.
• Flexibility to work with US West Coast hours occasionally.
   

We Offer:
 

• Competitive market salary.
• Fully remote work.
• Convenient and somewhat flexible working hours.
• 28 days of paid time off per calendar year.
• The chance to work on meaningful, socially valuable products alongside a highly professional, US-based international team.
• Interesting technical challenges with opportunities to grow and learn.

We are looking for an experienced DevOps Engineer with strong expertise in Apache Kafka and messaging systems to join our team and help develop and improve our infrastructure.
 

In this role, you'll work with cloud and on-premises environments, ensuring system reliability, performance, and stability.

We're looking for someone who enjoys hands-on engineering, takes ownership of technical challenges, and can independently identify areas for improvement and implement effective solutions.

Responsibilities:

• Design, build, configure, and maintain Kafka clusters and messaging infrastructure
• Manage and improve existing DevOps infrastructure across cloud and on-premises environments
• Identify weaknesses and bottlenecks in the current infrastructure and implement improvements
• Ensure high availability, reliability, and performance of infrastructure and messaging services
• Automate infrastructure provisioning, configuration, and operations using Terraform and Kubernetes
• Build and maintain monitoring and alerting systems
• Collaborate with development teams on Kafka topic design, schema management, and connectors
• Design and maintain backup, replication, and disaster recovery solutions for streaming infrastructure
• Troubleshoot production issues, investigate incidents, and improve system stability
• Participate in on-call rotations and incident response

Requirements:

• 5+ years of professional experience as a DevOps, SRE, or Platform Engineer
• Strong production experience with Apache Kafka and message brokers such as RabbitMQ or RocketMQ
• Deep understanding of event-driven, modular monolith, microservices architectures
• Experience running stateful workloads on Kubernetes
• Hands-on experience with Terraform
• Experience with monitoring tools such as Prometheus and Grafana
• Strong Linux administration skills, including performance tuning and troubleshooting
• Solid understanding of networking fundamentals
• Experience with cloud and/or on-premises infrastructure
• English level - B1 or higher

Will be a plus:

• Experience with Schema Registry, Kafka Connect, or CDC (Debezium)
• Experience with Kubernetes Operators (Strimzi or similar)
• Experience with Helm
• Experience with Amazon MSK
• Experience with low-latency or high-throughput systems
• Experience with data pipelines (ClickHouse, HDFS, Spark)
• Experience in trading, fintech, or market-data environments

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)

Description

Our team is developing a set of services that support the company's operational activities, starting with the gaming platform itself, back-offices, and data analytics. The product is being developed by a small team of experienced professionals.

We work extensively with databases and distributed systems, discuss and implement architectural solutions, and conduct RND procedures to check the performance of certain solutions. We are looking for a team member who will work as part of the DevOps Team and collaborate closely with cross-functional teams to maintain and improve the current delivery workflow.

Requirements

• Experience in DevOps or related roles, ideally within a fast-paced tech environment;
• Proficiency in Helm Chart development;
• Familiarity with IAAC (Terraform) for backend infrastructure;
• Familiarity with GitOps best practises;
• Familiarity with AWS Services;
• Experience with configuration management tools;
• Knowledge of CI/CD pipelines and best practices;
• Experience with the continuous integration system (Jenkins, GitHub actions);
• Ability to troubleshoot complex issues and implement effective solutions;
• Excellent communication skills and the ability to work collaboratively in a team environment;
• Willingness to learn new technologies and adapt to evolving project requirements;
• Experience in Kubernetes (Self Hosted);
• Experience with ArgoCD and its' ecosystem;
• 2+ years of Python experience;
• Scripting language skills will be a plus (Bash, etc).
  
  Responsibilities
• Collaborating with the team to develop Helm Charts for our applications;
• Contributing to the Terraform backend team's codebase, ensuring efficient and scalable infrastructure;
• Configuring our development, testing and production applications to ensure optimal performance and reliability;
• Managing releases, ensuring smooth deployments;
• Overseeing continuous integration processes, including auto tests, quality checks, security checks, and more;
• Streamlining and optimizing Jenkins pipelines for efficiency and reliability.
  
  Technologies
• Python (Flask/FastApi, Celery, SQLAlchemy);
• PostgreSQL; Cassandra; Redis; KeyDB;
• GIT, CI/CD (Jenkins);
• Docker;
• Kubernetes; Helm; ArgoCD;
• Terraform;
• AWS Services (S3, SQS, SNS, Firehose, Glue);
• ELK Stack; Grafana; Prometheus/VictoriaMetrics.

Benefits

Why Join Us?

🎰 Be part of the international iGaming industry – Work with a top European solution provider and shape the future of online gaming;

💕 A Collaborative Culture – Join a supportive and understanding team;

💰 Competitive salary and bonus system – Enjoy additional rewards on top of your base salary;

📆 Unlimited vacation & sick leave – Because we prioritize your well-being;

📈 Professional Development – Access a dedicated budget for self-development and learning;

🏥 Healthcare coverage – Available for employees in Ukraine and compensation across the EU;

🫂 Mental health support – Free consultations with a corporate psychologist;

🇬🇧 Language learning support – We cover the cost of foreign language courses;

🎁 Celebrating Your Milestones – Special gifts for life’s important moments;

⏳ Flexible working hours – Start your day anytime between 9:00-11:00 AM;

🏢 Flexible Work Arrangements – Choose between remote, office, or hybrid work;

🖥 Modern Tech Setup – Get the tools you need to perform at your best;

🚚 Relocation support – Assistance provided if you move to one of our hubs.

Join a large-scale infrastructure modernization initiative focused on secure and enterprise-grade government platforms. We are looking for a Senior/Lead DevOps Engineer who is ready to take ownership of technical decisions, lead platform delivery, and contribute to complex cloud and Kubernetes environments.

We at Sigma Software value engineering excellence, collaboration, and continuous improvement. You will have the opportunity to work on impactful public sector solutions, contribute to modern infrastructure transformation, and grow within an international engineering environment.

PROJECT

The project is focused on building and maintaining secure enterprise infrastructure platforms for the public sector. The team designs, automates, and operates Kubernetes-based environments with strong emphasis on cloud infrastructure, platform hardening, Infrastructure as Code, and CI/CD automation.

As part of the project, you will contribute to large-scale infrastructure modernization initiatives involving Kubernetes orchestration, GitOps practices, enterprise security solutions, and air-gapped deployment environments. The role includes active participation in technical discovery, architecture design, implementation planning, and stakeholder communication.

Responsibilities:

• Design, implement, and maintain enterprise-grade Kubernetes platforms and cloud infrastructure
• Lead infrastructure delivery activities from the discovery phase through production rollout
• Make architectural and technical platform decisions aligned with Customer requirements
• Automate infrastructure provisioning and configuration management using Infrastructure as Code practices
• Implement and maintain CI/CD pipelines and GitOps workflows
• Configure and support secure cluster operations, secrets management, and platform hardening
• Collaborate directly with Customers, vendors, and external stakeholders during technical workshops and solution discussions
• Analyze existing infrastructure environments and identify optimization opportunities
• Prepare technical proposals, implementation plans, estimates, and delivery roadmaps
• Troubleshoot production environments and perform root cause analysis
• Support compliance, security, and operational readiness requirements for government environments

• Mentor engineers and contribute to technical leadership within the team

   

Requirements:

• 5+ years of commercial experience as a DevOps Engineer in enterprise environments
• Deep expertise in Kubernetes administration, networking, and security
• Experience with Infrastructure as Code tools such as Terraform
• Hands-on experience with AWS and/or Azure cloud platforms
• Experience implementing GitOps practices using ArgoCD or similar tools
• Strong Linux administration and troubleshooting skills
• Experience with CI/CD automation and software delivery pipelines
• Knowledge of secrets management solutions such as OpenBAO or HashiCorp Vault
• Experience with identity and access management solutions such as Keycloak
• Understanding of infrastructure security, CIS benchmarks, and platform hardening
• Experience working with production enterprise infrastructure environments
• Ability to work independently and make technical decisions
• Experience communicating directly with Customers and stakeholders
• Strong analytical and problem-solving skills

• Upper-Intermediate or higher level of English

   

Would be a plus:

• Experience with OKD or OpenShift administration
• Experience with Ceph storage solutions
• Knowledge of Helm packaging and customization
• Experience with air-gapped environments and restricted infrastructure
• Experience with vSphere administration
• Experience delivering solutions to external hosting providers
• Background in government, eGov, or registry-based systems

• Understanding of compliance and operational requirements in public sector environments

   

Personal profile:

• Strong ownership mindset and ability to lead technical initiatives
• Ability to work effectively in ambiguous and evolving environments
• Excellent communication and stakeholder management skills
• Structured and proactive approach to problem-solving
• Ability to prioritize tasks and manage multiple responsibilities
• Strong collaboration skills within distributed teams
• Leadership mindset with focus on delivery and quality

_____________________________________________________________

Приєднуйся до масштабної ініціативи з модернізації інфраструктури, зосередженої на безпечних та enterprise-рішеннях для державних платформ.
Ми шукаємо Senior/Lead DevOps Engineer, який готовий брати відповідальність за технічні рішення, очолювати delivery платформи та працювати зі складними cloud- і Kubernetes-середовищами.

У Sigma Software ми цінуємо engineering excellence, співпрацю та безперервне вдосконалення. Ти матимеш можливість працювати над важливими рішеннями для державного сектору, долучатися до трансформації сучасної інфраструктури та розвиватися в міжнародному engineering-середовищі.

ПРОЄКТ

Проєкт зосереджений на побудові та підтримці безпечних enterprise-платформ інфраструктури для державного сектору. Команда проєктує, автоматизує та підтримує Kubernetes-середовища з особливим акцентом на cloud-інфраструктурі, platform hardening, Infrastructure as Code та CI/CD automation.

У межах проєкту ти долучишся до масштабних ініціатив із модернізації інфраструктури, що включають Kubernetes orchestration, GitOps practices, enterprise security solutions та air-gapped deployment environments. Роль передбачає активну участь у technical discovery, проєктуванні архітектури, плануванні імплементації та комунікації зі стейкхолдерами.

Обовʼязки:

• Проєктувати, впроваджувати та підтримувати enterprise-рівня Kubernetes-платформи та cloud-інфраструктуру
• Очолювати процеси delivery інфраструктури від етапу discovery до production rollout
• Приймати архітектурні та технічні рішення щодо платформи відповідно до вимог Customer
• Автоматизувати provisioning інфраструктури та management конфігурацій із використанням практик Infrastructure as Code
• Впроваджувати та підтримувати CI/CD pipelines і GitOps workflows
• Налаштовувати та підтримувати безпечну роботу кластерів, management секретів і platform hardening
• Напряму співпрацювати з Customers, vendors та зовнішніми стейкхолдерами під час технічних воркшопів і обговорення рішень
• Аналізувати наявні інфраструктурні середовища та визначати можливості для оптимізації
• Готувати технічні пропозиції, плани імплементації, оцінки та delivery roadmaps
• Troubleshoot production-середовища та проводити root cause analysis
• Підтримувати вимоги compliance, security та operational readiness для державних середовищ

• Менторити інженерів і сприяти технічному лідерству в команді

   

Вимоги:

• 5+ років комерційного досвіду роботи DevOps Engineer в enterprise-середовищах
• Глибока експертиза в адмініструванні, networking та security Kubernetes
• Досвід роботи з Infrastructure as Code tools, такими як Terraform
• Практичний досвід роботи з cloud-платформами AWS та/або Azure
• Досвід впровадження GitOps practices із використанням ArgoCD або подібних інструментів
• Сильні навички адміністрування Linux і troubleshooting
• Досвід роботи з CI/CD automation та software delivery pipelines
• Знання рішень для management секретів, таких як OpenBAO або HashiCorp Vault
• Досвід роботи з рішеннями для identity and access management, такими як Keycloak
• Розуміння infrastructure security, CIS benchmarks та platform hardening
• Досвід роботи з production enterprise-інфраструктурними середовищами
• Здатність працювати самостійно та приймати технічні рішення
• Досвід прямої комунікації з Customers і стейкхолдерами
• Сильні аналітичні навички та навички розв’язання проблем

• Рівень англійської — Upper-Intermediate або вище

   

Буде плюсом:

• Досвід адміністрування OKD або OpenShift
• Досвід роботи з рішеннями для зберігання даних Ceph
• Знання Helm packaging і customization
• Досвід роботи з air-gapped environments та restricted infrastructure
• Досвід адміністрування vSphere
• Досвід delivery рішень для external hosting providers
• Досвід роботи з government, eGov або registry-based systems

• Розуміння compliance та operational requirements у середовищах державного сектору

   

Особистий профіль:

• Сильне відчуття ownership та здатність очолювати технічні ініціативи
• Здатність ефективно працювати в умовах невизначеності та змін
• Відмінні навички комунікації та stakeholder management
• Структурований і проактивний підхід до розв’язання проблем
• Здатність пріоритизувати завдання та керувати кількома зонами відповідальності
• Сильні навички співпраці в distributed teams
• Лідерське мислення з фокусом на delivery та quality

Location: Remote (Preferably European time zones)

About the Company

Near Prime is looking for a DevOps/Backend Engineer for one of our partner projects, who are redefining the Game Development world with a one-of-a-kind cube-shaped gaming console that merges the physical and digital worlds. This kind of Entertainment System combines modular hardware, immersive software, and creative game design to create a brand-new category of interactive entertainment. 

About the Role

We are looking for an experienced DevOps / Backend Engineer to build and maintain the Google Cloud Platform (GCP) cloud infrastructure and backend services powering the company’s ecosystem.

This role places a strong emphasis on DevOps ownership, combined with hands-on backend development using Node.js, TypeScript, and NestJS. You will ensure the company’s services are deployed securely, operate reliably, and scale with the product, while contributing to systems supporting user accounts, the game catalog, purchases, and communication with the game console devices.

You will work closely with frontend, mobile, embedded, and QA engineers, taking ownership of cloud infrastructure and service delivery through deployment, monitoring, and production troubleshooting. You will also manage corporate access and support teams working extensively with AI coding tools, helping them iterate quickly while maintaining engineering quality and operational reliability.

Key Responsibilities

• Build, maintain, and optimize the company’s GCP cloud infrastructure, supporting the website, mobile applications, and connected devices.
• Automate cloud infrastructure provisioning and configuration using infrastructure as code.
• Develop and maintain CI/CD pipelines for automated testing, building, and deployment, including reliable rollback procedures.
• Manage Docker and Kubernetes environments, including service configuration, networking, service discovery, and scaling.
• Set up and improve monitoring, logging, and alerting across cloud infrastructure and backend services.
• Troubleshoot production incidents across application, cloud infrastructure, networking, and database layers; implement fixes that prevent recurrence.
• Develop and maintain backend services and REST APIs using Node.js, TypeScript, and NestJS.
• Build and support microservices and event-driven workflows using gRPC, Protocol Buffers, and RabbitMQ.
• Maintain and optimize MongoDB deployments and queries, including backup and recovery procedures.
• Strengthen platform security through access controls, secrets management, TLS certificates, and secure service-to-service communication.
• Manage employee access to corporate systems, tools, and services, including creating accounts during onboarding, updating permissions as roles change, and revoking access and deleting accounts during offboarding.
• Collaborate on device integrations, telemetry processing, and reliable communication between hardware and cloud services.
• Support AI-assisted development and vibe coding teams with suitable development environments, automated testing, CI/CD pipelines, and deployment safeguards.
• Use AI tools to optimize processes, reduce repetitive work, and build engineering and operational workflows, evaluating their correctness, security, and practical value.
• Maintain technical documentation, operational runbooks, and automated tests; participate in code reviews.

Requirements

• 5+ years of commercial engineering experience spanning DevOps, cloud infrastructure, and backend development, with hands-on ownership of production systems.
• Hands-on production experience with Google Cloud Platform (GCP), including provisioning, operating, securing, and troubleshooting cloud infrastructure. The comapny’s cloud infrastructure runs on GCP; experience exclusively with AWS or Azure is insufficient for this role.
• Strong experience administering Linux environments and troubleshooting networking, resource usage, and application issues.
• Hands-on experience with Docker and Kubernetes in production.
• Experience building and maintaining CI/CD pipelines and automating cloud infrastructure with Terraform or equivalent tools.
• Practical backend development experience with Node.js, TypeScript, and NestJS, including writing and maintaining production application code.
• Solid understanding of REST APIs, authentication, authorization, versioning, and rate limiting.
• Experience with microservices and asynchronous messaging, including RabbitMQ routing, message durability, retries, and back-pressure.
• Familiarity with gRPC and Protocol Buffers for interservice communication.
• Experience with MongoDB, including data modeling, indexing, performance troubleshooting, and backup strategies.
• Good understanding of TCP/IP, DNS, HTTP/HTTPS, TLS, and Nginx as a reverse proxy.
• Experience with monitoring, centralized logging, alerting, and production incident investigation.
• Understanding of corporate access management, including account provisioning, permission management, and secure offboarding.
• Proficiency in scripting with Bash or Python, alongside Git and automated testing.
• Strong, practical enthusiasm for AI-assisted coding, combined with sound engineering judgment: understanding where AI accelerates delivery, where it introduces risk, and how to validate its output.
• Understanding of the processes and needs of AI-assisted development and vibe coding teams, including rapid iteration, agent workflows, automated testing, code review, and safe deployment.
• Experience using AI tools to optimize processes and design and implement engineering or operational workflows.
• A personal Git repository or portfolio of repositories showcasing AI coding experiments, tools, agents, or workflow automations, with the ability to explain implementation decisions, results, and limitations. Private repositories can be presented through a walkthrough.
• Ability to work independently, prioritize operational and development needs, and communicate clearly within a distributed team.

Desirable Pluses

• Experience with MQTT, IoT platforms, or backend systems communicating with physical devices.
• Experience with certificate lifecycle management and secure device authentication.
• Familiarity with OTA update delivery and device telemetry pipelines.
• Experience with ClickHouse or other analytical databases.
• Experience with observability tools such as Prometheus, Grafana, or OpenTelemetry.
• Familiarity with Helm, GitOps workflows, and monorepo architectures.
• Familiarity with SSO, identity providers, and role-based access management for corporate tools.
• Experience with Vitest or Jest.
• Previous experience supporting gaming platforms, connected consumer hardware, or systems combining web, mobile, and embedded components.

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)
• 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:

• Strong scripting and automation skills using Python / PowerShell / Bash
• 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

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.

Working hours - 14:00/15:00-22:00/23:00 Kyiv time.

Job Description

- Strong experience with Microsoft Azure Cloud services.
- Hands-on expertise in Azure DevOps, CI/CD pipelines, and release management.
- Experience with AEM deployment and environment management.
- Experience supporting Java applications and microservices.
- Knowledge of Terraform, ARM Templates, or Infrastructure as Code (IaC).
- Experience with Docker, Kubernetes (AKS preferred), Git, and scripting (PowerShell/Bash).
- Exposure to monitoring tools such as Azure Monitor, Application Insights, or Splunk.

Job Responsibilities

- Manage and support Azure cloud infrastructure and services.
- Design, build, and maintain CI/CD pipelines using Azure DevOps.
- Deploy, monitor, and support Java-based applications and services.
- Manage AEM deployments across Dev, SIT, UAT, and Production environments.
- Automate infrastructure provisioning and deployment processes.
- Monitor application and infrastructure performance, troubleshoot issues, and provide production support.
- Collaborate with development, QA, and infrastructure teams to ensure smooth releases.
- Implement security, backup, and disaster recovery best practices.

Department/Project Description

Customer is one of the world's leading healthcare organizations, operating across 170+ countries with a strong focus on diabetes, obesity, and rare disease care. We are in managed service contract for 55+ AEM websites.

Job Description

• Bachelor’s degree in Computer Science or related field (or equivalent practical experience).

• 4–5 years in DevOps experience on Azure.

• Hands-on with Kubernetes (preferably EKS), Docker, and container orchestration patterns.

• Strong CI/CD experience with ADO pipelines (YAML/multi-stage), Git, and artifact/version management.

• Proficiency building, deploying Java Spring Boot microservices with Maven; working knowledge of Node.js build processes and .net based compilations.

• Working knowledge of SonarCloud for static analysis and JFrog Artifactory for dependency and artifact management.

• Scripting skills in Bash/Python/Groovy; ability to automate repetitive tasks and pipeline steps.

• Solid grasp of observability (logs/metrics/traces).

• Excellent problem-solving, communication, and cross-functional collaboration skills.

Job Responsibilities

Design, implement, and maintain CI/CD pipelines in Azure DevOps (ADO) for automated build, test, and
deployment.
• Integrate and enforce code quality using SonarCloud; manage build artifacts and dependencies in JFrog
Artifactory.
• Containerize services with Docker and deploy to AWS EKS (Kubernetes); manage cluster scaling, upgrades, and
observability.
• Deploy and operate applications across AWS services: EC2, S3, Postgres (Amazon RDS/PostgreSQL), and Redis
(Amazon ElastiCache).
• Build and release Java Spring Boot microservices using Maven; configure multi-module builds and versioning
strategies.
• Build and release .NET apps built using C# & C++.
• Automate front-end build and deployment pipelines for Node.js applications (environment configs, asset
optimization).
• Implement Infrastructure-as-Code (IaC) using Terraform; maintain reusable modules and secure variables
management.
• Configure automated tests (unit/integration) in the pipeline; enable blue/green or canary strategies where
applicable.
• Ability to setup performance tuning parameters related to Autoscaling configurations, KPI management and
alerts.
• Collaborate with developers, VandV teams, and security to enforce DevSecOps best practices, including secret
management and SAST/DAST.

Department/Project Description

We are seeking an experienced DevOps Engineer with 4–5 years of hands-on experience in cloud-based deployments and
modern DevOps practices. The ideal candidate has strong expertise in AWS, Kubernetes orchestration, and CI/CD
automation using Azure DevOps (ADO), and partners closely with development teams to streamline build, integration,
and deployment of Java Spring Boot microservices, .NET apps & Node applications.

Profisea is an Israeli DevOps and Cloud company providing services across cloud infrastructure, GitOps, DevSecOps, and FinOps.

We are looking for a Senior DevOps Engineer with strong AWS expertise to design, build, and operate cloud infrastructure for international clients. Alongside core DevOps responsibilities, you will improve production reliability and actively use AI tools to accelerate engineering, troubleshooting, and automation.
 

Responsibilities:

• Design, implement, and maintain scalable, secure AWS infrastructure.
• Build and manage infrastructure as code using Terraform and configuration management tools.
• Deploy and operate containerized applications using Docker and Kubernetes.
• Develop and maintain CI/CD pipelines using Jenkins, ArgoCD, GitHub Actions, or similar tools.
• Manage Linux environments and support databases, messaging systems, and cloud networking.
• Deliver infrastructure migrations, performance improvements, and cloud cost optimization.
• Improve production availability and resilience through monitoring, actionable alerting, capacity planning, and recovery procedures.
• Investigate production incidents, perform root cause analysis, and implement changes to prevent recurring issues.
• Define and track relevant reliability indicators and service objectives together with client teams.
• Use AI assistants extensively in daily engineering: infrastructure code, scripts, pipeline configuration, troubleshooting, documentation, and technical research.
• Build AI-assisted workflows that automate repetitive tasks, with appropriate validation, testing, and protection of client data.
• Collaborate directly with clients, architects, and development teams to translate business requirements into technical solutions.

Requirements:

• 5+ years of DevOps engineering experience, including strong hands-on AWS expertise.
• Strong knowledge of Linux, networking, and system administration.
• Practical experience with Terraform, Docker, and Kubernetes.
• Experience building and maintaining CI/CD pipelines.
• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK/EFK, or Graylog.
• Working knowledge of SQL/NoSQL databases and messaging systems.
• Proficiency in Python, Bash, Go, or another language for operational automation.
• Experience troubleshooting production systems and improving their reliability, performance, and availability.
• Regular, practical use of AI coding assistants and other AI tools, with the ability to explain specific workflows and benefits.
• Ability to review and validate AI-generated code and configurations for correctness, security, and maintainability.
• Ability to work independently, manage priorities across projects, and communicate effectively with clients.
• English: Upper-Intermediate+.

Would be an advantage:

• Experience with SLIs/SLOs, error budgets, postmortems, and structured incident response.
• Experience with high availability, disaster recovery testing, distributed tracing, and load testing.
• Experience building AI agents or integrating AI into engineering and operational workflows.
• Familiarity with Ansible, Puppet, SaltStack, or Chef.
• Experience with Azure or Google Cloud.
• Relevant AWS, Kubernetes, or DevOps certifications.

What we offer:

• Competitive compensation and benefits.
• Fully remote work and flexible working hours.
• Professional development and certification support.
• Opportunities to work on varied international projects and apply modern cloud and AI technologies.