Jobs DevOps

The client is a US healthcare-data company building a platform for pharmacy benefit managers. The platform ingests historical patient and prescription data, runs it through an ETL pipeline into a unified data model, and serves machine-learning models that produce drug and treatment recommendations. Today the process is manual — data prepared on a desktop, models deployed by hand, no CI/CD. The goal is a production SaaS platform with a first MVP at the end of 2026.

The infrastructure is AWS, with Docker and Kubernetes as the runtime, and a strong preference for open-source tooling over managed proprietary services. The availability target is 99.9%, 24×7. Current usage is proof-of-concept scale, so the design has to reach that target without over-building, and cost must be a design input from day one: an environment that meets the checklist but whose bill doubles in six months is not acceptable.

This is a full-time, remote engagement. Working hours are 06:00–14:00 US Eastern, and development happens on client-provided virtual desktops.

Key Responsibilities

• Design the AWS and Kubernetes infrastructure for the platform from the target architecture, and document it.
• Build the environments — development, test and production — with clear separation and repeatable provisioning.
• Set up CI/CD from scratch for application code, data pipelines and model deployments.
• Define infrastructure as code and keep every environment reproducible from it.
• Design for 99.9% availability, 24×7: monitoring, alerting, backups, recovery and on-call practice.
• Own cost: choose instance types, storage and scaling policies deliberately, and report on spend.
• Put security and access controls in place appropriate to sensitive healthcare data.
• Work with the data engineer to run pipelines and model services reliably on Kubernetes.
• Replace manual deployment steps with automated, auditable ones.
• Propose an approach and defend it rather than waiting for a fully formed requirement.
• Write the runbooks and documentation the team needs to operate the platform without you in the room.

Required Qualifications

• DevOps or platform engineering experience, including ownership of a production environment.
• Hands-on AWS experience.
• Hands-on Docker and Kubernetes experience in production.
• Experience building CI/CD pipelines from scratch.
• Infrastructure as code with a tool such as Terraform, and the discipline to keep environments reproducible.
• Experience designing for and operating to a defined availability target, including monitoring, alerting and incident response.
• Demonstrated cost-conscious design and cost management in a cloud environment.
• Real C1 English, role requires direct client meetings without an intermediary.
• Availability during 06:00–14:00 US Eastern.

Preferred Qualifications

• Experience running data pipelines and machine-learning workloads on Kubernetes.
• Experience with an open-source observability stack (Prometheus, Grafana, Loki or similar).
• Security and compliance experience with healthcare or other regulated data.
• Experience with GitOps tooling such as Argo CD or Flux.
• Experience with Python or scripting for automation.
• Experience taking a proof-of-concept environment to production.

Your First 90 Days

• First 30 days — You have reviewed the target architecture, produced the infrastructure design with a cost estimate, and agreed it with the CTO; a first environment is provisioned from code.
• By 60 days — Development and test environments run from infrastructure as code, CI/CD deploys the data pipeline and model services without manual steps, and monitoring and alerting are live.
• By 90 days — Production is running to the availability target with backups and recovery tested, spend is tracked against the estimate, and the runbooks exist for someone else to operate the platform.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we've built one of the largest AI communities in Europe.

About the Client:
We’re looking for a Platform Architect (IoT) to join our client’s team at a product-focused miltech company. 

You will own the architecture of the platform that connects, manages and secures a rapidly growing device fleet. Today the infrastructure is run by one strong DevOps engineer; you will join as the senior technical voice who designs how the platform scales and brings applied IoT experience to the team.

Responsibilities:
- Design and evolve the platform architecture for a growing fleet of IoT devices and new product lines
- Define how devices are managed, supported and secured at scale
- Organise reliable data transfer from devices to the platform
- Set up access models for internal service teams
- Build and maintain Kubernetes-based infrastructure on AWS with GitOps delivery
- Own observability, CI/CD and infrastructure-as-code standards
- Embed security practices and SecOps tooling into the platform
- Work alongside the existing DevOps engineer and share ownership of the infrastructure

Requirements:
- Proven experience scaling high-load systems (mandatory)
- Hands-on experience with IoT platforms: device fleets, device-to-cloud data flows
- Kubernetes, ArgoCD
- AWS, Terraform
- Prometheus / Grafana monitoring stack
- CI/CD (GitLab is a plus; comparable tools are fine)
- Bash scripting
- SecOps tools and security-first thinking
- English sufficient for demos and communication with partners and customers

Nice to have:
- Exposure to radio or embedded devices
- Experience in defense tech or other hardware-driven products

Please note: This role requires working in shifts. If you're interested, I can share a draft schedule with you.

Must:
Knowledge of Kubernetes - RKE, GKE will be a plus
Hands-on experience with preparing automation scenarios using Terraform
Experience with deploying and supporting servers on cloud infrastructure, preferably Google Cloud Platform and Tencent Cloud
Knowledge of T-SQL - MS SQL, PostgreSQL

Others:
Experience with Microsoft Windows Server
Experience with Active Directory
Expertise with preparing automation scripts to perform routine tasks using scripting languages (Bash, PowerShell, Python)
Ability to plan new infrastructure requirements and maintain current infrastructure
Understanding of network concepts - firewalls, VPN, peering (for public clouds)
English - intermediate or better

Responsibilities:
System availability and performance monitoring, on the both infrastructure and application levels.
Planned infrastructure and application updates.
New environments deployment.
Changing of the existing infrastructure according to the requirements.
Other tasks related to the system functionality

Overview

We are looking for a Senior DevOps / Platform Engineer to design, build, and maintain scalable, secure, and reliable cloud infrastructure supporting Machine Learning and Generative AI workloads.

The role focuses primarily on DevOps and Platform Engineering, including AWS infrastructure, Infrastructure as Code (IaC), CI/CD automation, containerisation, monitoring, security, and production operations. Software development with Python is also an important part of the role, particularly for building internal platform tools, automation services, and reusable components.

You will work closely with software engineers, data scientists, ML engineers, and architects to improve platform capabilities and enable teams to develop, deploy, and operate ML and GenAI solutions efficiently.

Candidates with strong DevOps or Platform Engineering backgrounds and Python development experience are welcome, as are Senior MLOps Engineers with solid cloud infrastructure and software engineering skills.

Key Responsibilities

• Design, build, and maintain scalable AWS infrastructure for production applications and ML/GenAI workloads.
• Develop and maintain Infrastructure as Code (IaC) using Terraform, AWS CDK, or CloudFormation.
• Build, maintain, and optimise CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, or similar tools.
• Automate infrastructure provisioning, deployment processes, and operational tasks using Python and scripting.
• Manage containerised environments using Docker and Kubernetes or similar technologies.
• Implement monitoring, logging, alerting, and observability using Amazon CloudWatch, Prometheus, Grafana, and related tools.
• Support and troubleshoot production systems, ensuring reliability, availability, performance, and security.
• Apply AWS security best practices and DevSecOps principles throughout the software development lifecycle.
• Develop and maintain Python-based platform tools, automation services, and reusable components.
• Support the deployment and operation of ML and Generative AI workloads using AWS services, including Amazon SageMaker and Amazon Bedrock.
• Collaborate with engineering, Data Science, and ML teams to improve platform reliability, scalability, and developer experience.
• Contribute to technical standards, documentation, code reviews, and continuous improvement initiatives.

Essential Requirements

• Strong experience in DevOps, Platform Engineering, Cloud Infrastructure, or MLOps engineering.
• Strong hands-on experience with AWS cloud services and production environments.
• Proficiency in Python, including scripting, automation, or development of internal tools and services.
• Practical experience with Infrastructure as Code, using Terraform, AWS CDK, CloudFormation, or similar tools.
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, AWS CodePipeline, or equivalent technologies.
• Experience with Docker, Kubernetes, or similar containerisation technologies.
• Understanding of cloud networking, infrastructure security, and access management.
• Experience with production system monitoring, troubleshooting, logging, and observability.
• Good understanding of software engineering practices, including version control, automated testing, code reviews, and reliable deployment processes.
• Ability to collaborate with cross-functional engineering teams and contribute to scalable platform solutions.

Desirable Requirements

• Experience with MLOps, LLMOps, or operating ML/GenAI workloads in production.
• Hands-on experience with Amazon SageMaker, Amazon Bedrock, or other AWS AI/ML services.
• Familiarity with ML lifecycle and orchestration tools such as SageMaker Pipelines, MLflow, or similar platforms.
• Experience with serverless and event-driven architectures using AWS Lambda, SQS, EventBridge, or related services.
• Experience implementing DevSecOps practices and automated security checks.
• Experience designing and maintaining internal developer platforms, shared infrastructure, or reusable engineering tools.
• Familiarity with monitoring and operating AI/ML pipelines and services in production.

Ideal Candidate Profile

We are particularly interested in candidates coming from one of the following backgrounds:

• Senior DevOps Engineer with strong AWS, Infrastructure as Code, CI/CD, and Python experience.
• Senior Platform Engineer experienced in building and maintaining cloud platforms, automation, and developer tooling.
• Senior MLOps Engineer with strong AWS infrastructure, deployment automation, and production operations experience.

We’re looking for a Junior DevOps Engineer with 1–2 years of experience to help maintain and improve our infrastructure, deployment processes, and development environments.

You’ll work closely with developers and experienced DevOps engineers to automate routine tasks, support CI/CD pipelines, and ensure applications run reliably across different environments.

.   What you’ll do

• Maintain and improve CI/CD pipelines for building, testing, and deploying applications
• Work with Docker to build and manage application containers
• Assist with cloud infrastructure configuration and maintenance
• Support application deployments across development, staging, and production environments
• Work with Linux systems and troubleshoot infrastructure-related issues
• Write scripts using Bash or Python to automate routine tasks
• Monitor application and infrastructure health and investigate alerts
• Help troubleshoot deployment failures and service availability issues
• Maintain infrastructure configuration and environment variables
• Work with Git and follow infrastructure change management practices
• Document deployment procedures and infrastructure configurations

• Collaborate with developers to improve deployment workflows and system reliability
   

  What we’re looking for

• 1–2 years of commercial experience in DevOps, Cloud Engineering, System Administration, or a related technical role
• Basic to intermediate knowledge of Linux and command-line tools
• Hands-on experience with Docker and containerization
• Familiarity with CI/CD tools such as GitHub Actions, GitLab CI/CD, or Jenkins
• Basic experience with at least one cloud platform: AWS, Azure, or GCP
• Familiarity with Git and version control workflows
• Basic scripting skills in Bash or Python
• Understanding of networking fundamentals, DNS, HTTP/HTTPS, and environment configuration
• Basic understanding of Infrastructure as Code concepts
• Familiarity with monitoring, logging, and troubleshooting
• Good problem-solving skills and willingness to learn

• Intermediate English or higher

  
  Nice to have

• Basic experience with Kubernetes
• Familiarity with Terraform or Ansible
• Experience with cloud services such as AWS EC2, S3, IAM, or their equivalents on other platforms
• Familiarity with monitoring tools such as Prometheus and Grafana
• Experience with Nginx or other web servers
• Familiarity with Helm or Argo CD

• Understanding of security best practices and secrets management

  
  🎁 What we offer

• 100% remote work
• Flexible working hours
• Competitive compensation
• Paid vacation and sick leave
• Health insurance / medical support
• Professional development and learning opportunities
• A friendly, supportive team with direct communication
• The opportunity to work on challenging international projects

Job Description

• 1+ years of experience in DevOps/Release engineering
• Solid knowledge of GCP ecosystem
• Knowledge of AWS ecosystem
• Kubernetes, Terraform and Kubernetes
• Strong experience in building CI/CD pipelines for Backend, Web and Mobile
• Experience with scripting Python, Bash scripting
• DataDog - nice to have
• Upper-Intermediate English Level
• Ability to work in team
• Ability to resolve problems independently

Job Responsibilities

DevOps engineer will help the team to setup new environments as well as refactor existing ones.

DevOps engineer will work on tasks to setup continuous delivery process from scratch for complex media pipeline including deployment, automation and release flow.

DevOps engineer will propose, architect and implement CI/CD solutions and work together with client's DevOps team to setup release pipeline

Department/Project Description

Customer is successful world class big media corporation that owns and produces media content delivered to various home media entertainment platforms, mobile and web platforms.

Description

Join a global, cross-functional team building an enterprise insurance product with integrated e-billing functionality.

We are looking for an experienced Cloud Engineer to scale and secure our infrastructure. You will drive cloud automation across Azure and other clouds, writing clean Terraform, Python, and Bash code to streamline deployments, enhance system reliability, and automate day-to-day operations.

Requirements

Must have:

• Azure DevOps: strong working knowledge of ADO in an enterprise setting (pipelines, branching, PRs, projects, Terraform module development)
• Scripting: Terraform, Bash, Python, Azure/AWS CLI, PowerShell, YAML
• Azure advanced deployment and administration of PaaS and IaaS services
• Basic networking skills
• Containerization: EKS and/or AKS
• Design and architecture experience in a large enterprise environment

Nice to have:

• AWS Landing Zone Accelerator
• Backstage.io
• AI Foundry and/or AWS Bedrock

Job responsibilities

Design, build, and maintain scalable, highly available PaaS and IaaS infrastructure across Azure and other cloud environments in alignment with enterprise architectural standards.

Architect and maintain enterprise Azure DevOps (ADO) environments, including pipeline optimization, branching strategies, PR governance, and custom Terraform module development.

Develop, test, and deploy modular IaC configurations using Terraform, PowerShell, Bash, Python, and cloud CLIs to enforce multi-region consistency.

Manage, secure, and scale enterprise Kubernetes clusters across AKS nvironments.

Deploy, configure, and operate cloud AI services using Azure AI Foundry to support enterprise LLM integrations and GenAI workloads.

Manage core networking components, including VPC/VNet peering, subnets, routing, firewalls, load balancers, and hybrid connectivity solutions.

Support multi-account enterprise governance.

Establish monitoring, observability, and automated remediation patterns across hybrid cloud assets.

ImproveIT Solutions is looking for Senior Kubernetes Platform Engineers (m/f/d) to support the evolution and scaling of a large-scale Kubernetes platform environment.

The project focuses on scaling Kubernetes clusters, building and configuring new cluster environments, developing Kubernetes Operators, and driving platform automation using modern cloud-native technologies.

The current platform is based on Gardener, although prior Gardener experience is not mandatory.

Responsibilities

• Scale, enhance, and optimize existing Kubernetes cluster environments
• Design, build, and configure new Kubernetes clusters
• Develop and maintain Kubernetes Operators and Custom Controllers using Go and Kubebuilder
• Implement and improve platform automation capabilities
• Automate infrastructure and platform lifecycle processes
• Apply GitOps principles for deployment, configuration management, and operational consistency
• Design and implement GitOps workflows using FluxCD
• Work with Crossplane for infrastructure and platform automation
• Perform testing, validation, and reliability improvements across the Kubernetes platform
• Contribute to the continuous evolution of cloud-native platform engineering practices
• Collaborate with an international, English-speaking engineering team

Requirements

• Strong hands-on experience with Kubernetes in enterprise-scale environments
• Experience operating and scaling large Kubernetes cluster landscapes
• Strong proficiency in Go (Golang)
• Hands-on experience with Kubebuilder
• Proven experience developing Kubernetes Operators and Custom Controllers
• Strong understanding of GitOps methodologies
• Hands-on experience with FluxCD
• Experience with Crossplane
• Strong background in Platform Engineering and Platform Automation
• Fluent English communication skills

Nice to Have

• Experience with Gardener
• Experience with SAP Business Technology Platform (SAP BTP)
• Public cloud experience with AWS, Azure, or GCP
• Experience working with large-scale cloud-native platforms
• Background in international Platform Engineering or SRE environments

Project Details

Start: ASAP
Duration: Until the end of 2026, with strong potential for extension
Capacity: 100%
Location: Remote within Europe
Working Hours: German business hours
Project Language: English

We are looking for a Senior DevOps Engineer with strong AWS, Terraform, Kubernetes, database, and infrastructure security experience to work with our fintech client.

The engineer should be able to independently own infrastructure projects, make technical decisions, communicate directly with client teams, and support the professional growth of other team members.

This is a hourly contractor role

Responsibilities

• Own infrastructure projects from technical design through implementation and production rollout.
• Design, automate, and maintain AWS infrastructure using Terraform.
• Develop and improve CI/CD pipelines.
• Maintain development, staging, and production environments.
• Operate, upgrade, and troubleshoot Kubernetes clusters, primarily AWS EKS.
• Maintain and troubleshoot database infrastructure, backups, replication, performance, and high-availability configurations.
• Implement infrastructure security best practices, access controls, secrets management, vulnerability monitoring, and security remediation.
• Implement and improve monitoring, logging, alerting, and observability.
• Participate in production incident response, root cause analysis, and preventive improvements.
• Review infrastructure changes and provide technical guidance to other engineers.
• Create and maintain clear technical and operational documentation.
• Communicate infrastructure changes, risks, incidents, and recommendations to client teams.

Requirements

• 7+ years of professional experience in DevOps, SRE, Platform Engineering, or a similar role.
• Strong hands-on experience with production AWS environments.
• Strong experience with Terraform and infrastructure-as-code practices.
• Production experience with Docker and Kubernetes.
• Experience managing and troubleshooting AWS EKS clusters.
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins
• Strong Linux administration and troubleshooting skills.
• Scripting experience with Bash or Python.
• Practical experience with relational and NoSQL databases, including services such as PostgreSQL, MySQL, RDS, Aurora, MongoDB, or Redis.
• Understanding of database backups, replication, failover, migrations, performance monitoring, and high availability.
• Strong understanding of infrastructure and cloud security principles.
• Experience with AWS IAM, secrets management, encryption, network security, vulnerability remediation, and least-privilege access.
• Experience with monitoring and observability tools such as Prometheus, Grafana, CloudWatch, OpenTelemetry, or similar.
• Strong networking knowledge, including VPC, DNS, HTTP/HTTPS, SSL/TLS, TCP/IP, load balancers, firewalls, and VPNs.
• Experience with Git-based development and infrastructure change workflows.
• Understanding of SDLC, release management, incident management, and production change management.
• Ability to independently plan, own, and deliver technical projects.
• Experience reviewing work, mentoring engineers, and helping other team members grow.
• Written and verbal English communication skills, as the role involves regular collaboration with development teams.

Nice to Have

• AWS certifications such as AWS Certified Solutions Architect, DevOps Engineer, or Security Specialty.
• Kubernetes certifications such as CKA, CKAD, or CKS.
• Terraform Associate certification.
• Experience working in fintech or other regulated environments.
• Knowledge of PCI DSS, SOC 2, ISO 27001, GDPR, or similar security and compliance frameworks.
• Experience with Terragrunt and multi-account or multi-region AWS environments.
• Experience with AWS security services such as GuardDuty, Security Hub, WAF, Inspector, Config, and CloudTrail.

• Experience leading infrastructure migrations, disaster recovery, high-availability, or cost-optimisation projects.

   

Engagement

• Full-time contractor.
• Long-term engagement.
• Remote work.
• Direct collaboration with the client’s engineering teams.

IT Svit delivers robust cutting-edge DevOps, Cloud and BigData solutions both for VC backed start-ups and established companies with high-load systems.
Working with other IT Svit colleagues, you’ll help our customers build and operate their cloud solutions, working with their engineers to put together a foundation of good DevOps & SRE practise, helping them move faster, maintain uptime, and keep their secrets safe and secure.
 
You have:
 
— 3+ years experience in DevOps and Linux system administration;
— Understanding of Infrastructure as Code, RBAC, IAM concept;
— Software Networking skills such as building custom Linux-based routers, firewalls, NAT Gateways;
— Bash and Python scripting skills;
— Experience configuring and provisioning dedicated hosts and VMs using configuration management tools such as Ansible, Chef, Terraform;
— Experience using docker-compose, Kubernetes, Helm;
— Experience with AWS;
— Experience integrating CI/CD solutions such as CircleCI, TravisCI, Jenkins, GitlabCI into development pipelines;
— Experience setting up monitoring and log collection tools;
— Ability to tackle problems at a scale both small and large, with a constant focus on optimization, high availability, and security as it relates to the CI/CD process;
— A drive to continually learn new technologies, tools, and methodologies, including those out of your comfort zone;
— Upper-Intermediate English.
 
You will:
 
— Have access to our accumulated team knowledge and expertise;
— Be able to work with the latest modern tools and technologies on widely used products;
— Execute cloud migrations;
— Succeed at personal milestones to achieve the next grade of your career here according to your personal development plan;
— Develop and design modern cloud infrastructures;
— Communicate with customers;
— Formulate proposals for stabilization, improvement, best practices. Drawing up a plan for the development of the project and its maintenance.
 
We offer:
 
— All the regular HR benefits including taxes compensation;
— Remote and flexible work;
— 20 days off per year;
— Paid vacation and sick leaves;
— Tax management service by our financial department;
— English courses;
— Open-minded and friendly atmosphere without much bureaucracy and micromanagement;
— Professional growth and development;
— Opportunity to contribute your ideas and hone your skills by taking part in interesting projects;
— Regular online company events.

About the role

As our System Administrator / DevOps, you keep our IT backbone strong and reliable. Your work shapes the environments where we develop, test, and deploy our own ERP, and you make sure our servers, networks, and backups are always ready for action. Your expertise keeps our data secure and our systems running, so our teams can focus on building and supporting unmanned aerial systems.

We rely on you to spot and solve issues before they become problems, automate our ERP deployments, and safeguard our information. The team counts on your steady hand and clear thinking to keep our infrastructure healthy and resilient.

What you will do

• Maintain and administer computer servers, networks, and workstations, updating configurations as needed.
• Run regular data backups and disaster recovery tests to confirm we can restore systems when needed.
• Set up and manage monitoring, logging, and alerting for company services, and respond promptly to incidents.
• Apply security updates and maintain information security controls across servers, workstations, and cloud services.
• Build, run, and maintain the development, test, and production environments for our in-house ERP system.
• Automate the build and deployment process of our ERP to streamline and reduce manual work.
• Diagnose, troubleshoot, and resolve hardware, software, or network issues, replacing defective components as needed.
• Document infrastructure, configurations, and recovery procedures so the team always has up-to-date references.
• Coordinate and implement network security measures to protect our data and systems.

What success looks like

• Servers and network are available and reliable, meeting agreed service levels.
• Backups run on schedule and are regularly tested for successful restores.
• Security updates are applied within the agreed window, keeping vulnerabilities closed.
• ERP releases are deployed automatically and consistently across environments.

What you bring

• You have a bachelor’s degree or an equivalent qualification in a relevant field.
• At least two to four years of experience working with servers, networks, and IT infrastructure.
• You are comfortable reading system and network configurations and using both administrative and troubleshooting tools.
• Hands-on experience with operating systems (Linux and/or Windows), virtualization, and cloud-based management software.
• You know how to automate deployments using configuration management or scripting tools.
• Experience setting up and using monitoring, logging, and alerting tools.
• You can apply security updates and harden systems following best practices.
• Clear communication skills, both written and spoken, for documenting and sharing procedures.

Nice to have

• Experience building or supporting ERP systems or similar business applications.
• Background in network engineering or managing cloud-based security tools.
• Work in environments where automation and documentation are central to operations.

We are seeking a Senior DevOps Engineer with strong development experience in Go and Python to join our infrastructure team. In this role, you will lead and implement DevOps practices while leveraging your programming expertise to build automation tools, improve infrastructure, and enhance system reliability.

Key Responsibilities

• Design, implement, and manage our cloud infrastructure across multiple environments (all major clouds and self-hosted)
• Develop and maintain infrastructure as code using modern tooling and GitOps approaches
• Build kubernetes operators and custom solutions using Go and Python
• Lead CI/CD implementation and continuous improvement efforts
• Monitor system health, performance, and security using modern stacks and OpenTelemetry
• Be part of the DevOps on-call rotation (around 2 shifts per month)
• Design and implement scalable and resilient architecture solutions
• Collaborate with development teams to improve deployment workflows
• Troubleshoot and resolve complex infrastructure and application issues
• Establish best practices for infrastructure management and security
• Mentor junior team members on DevOps practices and technologies
   

Requirements

• 6+ years of experience in IT operations, systems engineering, or a similar role
• 3+ years of professional software development experience in Go and/or Python
• Strong experience with GitOps and infrastructure as code tools (ArgoCD, Flux, Terraform)
• Expertise in containerization technologies (Docker, Kubernetes)
• Deep knowledge of cloud platforms (AWS, GCP, or Azure)
• Experience designing and maintaining CI/CD pipelines (GitHub Actions or GitLab CI/Concourse)
• Proficiency with monitoring, logging, and observability tools and practices (Prometheus Stack and OTel)
• Strong Linux/Unix system administration skills
• Knowledge of networking concepts and security best practices
• Excellent problem-solving abilities and communication skills
   

Preferred Qualifications

• Experience with microservices architecture
• You can explain Kubernetes to your non-technical friends without making their eyes glaze over
• Knowledge of database administration (PostgreSQL, MongoDB, Redis)
• Experience with message brokers and event streaming platforms (Kafka, RabbitMQ)
• Familiarity with service mesh concepts (Envoy, Istio, Linkerd)
• Experience with GitOps workflows
• Contributions to open-source projects
• Your infrastructure diagrams are works of art (or at least comprehensible)
• Experience leading technical projects and mentoring other engineers
   

Team Culture

• Our infrastructure team handles more layers than a well-designed Kubernetes cluster
• We're like Git - always ready to commit to good ideas and branch out when needed
• "Move fast and fix things" is our motto (we're not breaking production on Fridays)

What we offer

• Innovative Product Company: Be part of a company with a long-term vision that values sustainable growth.
• High-Performing Team: Join a talented team that supports your professional growth and values your expertise.
• Career Growth: Opportunity to step up as a Backend Lead, leading projects and mentoring other team members.
• Impactful Work: Take ownership of projects that directly affect our users, product, and business strategy.
• Comprehensive Benefits: Enjoy medical insurance, sport compensation, and other perks that support your well-being.
• Flexible Work Arrangement: B2B contract with a US-based company, allowing for a remote-first setup that fits your lifestyle.

About the Role

We are looking fot an experienced Senior DevOps Engineer with strong AWS networking, infrastructure automation, and managed file transfer experience.

The engineer will design and deliver a secure file transfer platform for a critical external financial services partner. The solution will use private connectivity, BGP routing, Amazon S3, and an isolated AWS environment.

The engineer will separate partner traffic from business-critical production traffic. The role includes architecture, implementation, testing, migration, documentation, and production support.

Key Responsibilities

• Design and implement BGP routing over redundant IPsec VPN tunnels.
• Design isolated AWS environments with VPCs, Transit Gateway, and controlled routing.
• Implement a secure managed file transfer solution based on partner protocol requirements.
• Integrate file transfer services with Amazon S3 and internal systems.
• Provision and manage AWS infrastructure through infrastructure as code.
• Implement access controls, encryption, secrets management, logging, and monitoring.
• Define file validation, recovery, reconciliation, and failure-handling processes.
• Plan and complete migration with parallel testing and rollback procedures.
• Produce architecture diagrams, network plans, implementation documents, and operational runbooks.
• Coordinate delivery with partner, security, network, application, and platform teams.

Required Qualifications & Skills

• Extensive production experience with AWS infrastructure and networking.
• Strong knowledge of VPCs, Transit Gateway, IPsec VPNs, BGP, and routing
• Experience with Amazon S3, IAM, KMS, CloudWatch, and VPC endpoints.
• Experience with managed file transfer platforms and external partner integrations.
• Strong network, Linux, and application troubleshooting skills.
• Experience with security controls, monitoring, recovery testing, and incident response.
• Strong technical writing and stakeholder coordination skills.

Preferred Qualifications

• Experience with TerraformAnsible.
• Production experience with IBM Connect.
• Experience with financial services or another regulated industry.
• Knowledge of mainframe environments and critical production traffic.
• Experience with AWS multi-account governance.
• AWS Certified Advanced Networking Specialty certification.
• AWS Certified DevOps Engineer - Professional certification.

NB! Working hours: 11:00 am - 20:00 CET, Monday to Friday - availability during these hours is mandatory. 

NB2! The role is planned as an initial 3-month engagement, with the opportunity to continue beyond this period depending on the project’s needs and progress.

About the Role

We are looking fot an experienced Senior DevOps Engineer with strong AWS networking, infrastructure automation, and managed file transfer experience.

The engineer will design and deliver a secure file transfer platform for a critical external financial services partner. The solution will use private connectivity, BGP routing, Amazon S3, and an isolated AWS environment.

The engineer will separate partner traffic from business-critical production traffic. The role includes architecture, implementation, testing, migration, documentation, and production support.

Key Responsibilities

• Design and implement BGP routing over redundant IPsec VPN tunnels.
• Design isolated AWS environments with VPCs, Transit Gateway, and controlled routing.
• Implement a secure managed file transfer solution based on partner protocol requirements.
• Integrate file transfer services with Amazon S3 and internal systems.
• Provision and manage AWS infrastructure through infrastructure as code.
• Implement access controls, encryption, secrets management, logging, and monitoring.
• Define file validation, recovery, reconciliation, and failure-handling processes.
• Plan and complete migration with parallel testing and rollback procedures.
• Produce architecture diagrams, network plans, implementation documents, and operational runbooks.
• Coordinate delivery with partner, security, network, application, and platform teams.

Required Qualifications & Skills

• Extensive production experience with AWS infrastructure and networking.
• Strong knowledge of VPCs, Transit Gateway, IPsec VPNs, BGP, and routing
• Experience with Amazon S3, IAM, KMS, CloudWatch, and VPC endpoints.
• Experience with managed file transfer platforms and external partner integrations.
• Strong network, Linux, and application troubleshooting skills.
• Experience with security controls, monitoring, recovery testing, and incident response.
• Strong technical writing and stakeholder coordination skills.

Preferred Qualifications

• Experience with TerraformAnsible.
• Production experience with IBM Connect.
• Experience with financial services or another regulated industry.
• Knowledge of mainframe environments and critical production traffic.
• Experience with AWS multi-account governance.
• AWS Certified Advanced Networking Specialty certification.
• AWS Certified DevOps Engineer - Professional certification.

NB! Working hours: 11:00 am - 20:00 CET, Monday to Friday - availability during these hours is mandatory. 

NB2! The role is planned as an initial 3-month engagement, with the opportunity to continue beyond this period depending on the project’s needs and progress.

We at Sigma Software are looking for a Site Reliability Engineer to join an ambitious AI-driven biotech project focused on improving pharmaceutical manufacturing efficiency and accessibility to life-saving medicines.

In this role, you will help build and scale a cloud-native platform used by enterprise biotech and pharmaceutical companies. You will contribute to reliability engineering practices, cloud automation, observability, security, and operational excellence in a fast-growing startup environment.

As a company, we offer the chance to work on impactful products, influence engineering decisions from an early stage, and collaborate with international teams solving complex technical challenges.

CUSTOMER

Our customer is an innovative biotech platform company operating at the intersection of artificial intelligence and life sciences. The company develops AI-powered solutions that help pharmaceutical and biotech organizations optimize manufacturing processes, reduce operational waste, and improve production efficiency. Their mission is to make life-saving drugs more accessible and affordable through modern AI technologies and scalable engineering solutions.

PROJECT

The project focuses on building and scaling a cloud-native AI platform designed for enterprise pharmaceutical and biotech Customers. The platform supports critical AI-driven workflows and requires high standards of reliability, scalability, observability, and security.

As a founding Site Reliability Engineer, you will play a key role in establishing infrastructure best practices, implementing automation, improving system resilience, and supporting enterprise-grade deployments. The environment combines startup agility with enterprise-scale engineering challenges.

Responsibilities:

• Define and maintain SLOs, SLIs, and error budgets for critical platform services
• Build and optimize CI/CD pipelines for reliable software delivery
• Design and manage scalable cloud infrastructure using Infrastructure-as-Code practices
• Implement monitoring, logging, tracing, and alerting solutions across the platform
• Collaborate with engineering teams to embed reliability practices into the development lifecycle
• Lead incident response activities and post-mortem analysis
• Automate operational processes to reduce manual effort and improve efficiency
• Support security and compliance initiatives for enterprise deployments
• Ensure platform scalability, reliability, and high availability
• Contribute to infrastructure architecture and operational strategy

Requirements:

• 4+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering
• Strong hands-on experience with Kubernetes, Docker, and container orchestration
• Solid experience with cloud platforms, preferably AWS
• Practical experience with Terraform, Pulumi, or other Infrastructure-as-Code tools
• Experience with observability and monitoring tools such as Datadog, Grafana, or Prometheus
• Understanding of incident management and production operations
• Knowledge of security best practices and enterprise compliance standards
• Experience with Python or Go for scripting and automation
• Strong communication and collaboration skills
• Upper-Intermediate English level

Ми в Sigma Software шукаємо Site Reliability Engineer для участі в амбітному біотехнологічному проєкті на основі штучного інтелекту, спрямованому на підвищення ефективності фармацевтичного виробництва та доступності життєво необхідних лікарських засобів.

На цій позиції ви долучитеся до розробки та масштабування cloud-native платформи, якою користуються великі компанії у сфері біотехнологій і фармацевтики. Ви працюватимете над практиками забезпечення надійності, автоматизацією хмарної інфраструктури, спостережуваністю, безпекою та операційною ефективністю в середовищі стартапу, що швидко розвивається.

Ми пропонуємо можливість працювати над продуктами, що мають реальний вплив, брати участь у формуванні інженерних рішень на ранньому етапі та співпрацювати з міжнародними командами над складними технічними завданнями.

КЛІЄНТ

Наш клієнт - інноваційна біотехнологічна платформна компанія, що працює на перетині штучного інтелекту та наук про життя. Компанія розробляє рішення на основі штучного інтелекту, які допомагають фармацевтичним і біотехнологічним організаціям оптимізувати виробничі процеси, скорочувати операційні втрати та підвищувати ефективність виробництва.

Місія компанії - зробити життєво необхідні лікарські засоби доступнішими та дешевшими завдяки сучасним технологіям штучного інтелекту та масштабованим інженерним рішенням.

ПРОЄКТ

Проєкт зосереджений на розробці та масштабуванні cloud-native AI-платформи для корпоративних клієнтів у фармацевтичній і біотехнологічній галузях. Платформа підтримує критично важливі робочі процеси на основі штучного інтелекту та потребує високих стандартів надійності, масштабованості, спостережуваності й безпеки.

Як перший Site Reliability Engineer у команді, ви відіграватимете ключову роль у впровадженні найкращих практик роботи з інфраструктурою, автоматизації, підвищенні стійкості систем і підтримці розгортань корпоративного рівня. Робоче середовище поєднує гнучкість стартапу з інженерними викликами корпоративного масштабу.

Обов’язки:

• Визначення та підтримка SLO, SLI й бюджетів помилок (error budgets) для критично важливих сервісів платформи.
• Розробка та оптимізація CI/CD-пайплайнів для забезпечення надійного постачання програмного забезпечення.
• Проєктування та управління масштабованою хмарною інфраструктурою з використанням підходів Infrastructure as Code.
• Впровадження рішень для моніторингу, логування, трасування та оповіщення на всій платформі.
• Співпраця з інженерними командами для інтеграції практик забезпечення надійності в життєвий цикл розробки.
• Керування реагуванням на інциденти та проведення аналізу після їх виникнення (post-mortem).
• Автоматизація операційних процесів для зменшення обсягу ручної роботи та підвищення ефективності.
• Підтримка ініціатив у сфері безпеки та відповідності вимогам для корпоративних розгортань.
• Забезпечення масштабованості, надійності та високої доступності платформи.
• Участь у формуванні архітектури інфраструктури та операційної стратегії.

Вимоги:

• Від 4 років досвіду в Site Reliability Engineering, DevOps або Platform Engineering.
• Ґрунтовний практичний досвід роботи з Kubernetes, Docker та оркестрацією контейнерів.
• Значний досвід роботи з хмарними платформами, бажано AWS.
• Практичний досвід роботи з Terraform, Pulumi або іншими інструментами Infrastructure as Code.
• Досвід роботи з інструментами спостережуваності та моніторингу, такими як Datadog, Grafana або Prometheus.
• Розуміння процесів управління інцидентами та експлуатації продуктивних середовищ.
• Знання найкращих практик безпеки та стандартів корпоративної відповідності вимогам.
• Досвід використання Python або Go для написання скриптів та автоматизації.
• Відмінні комунікативні навички та вміння співпрацювати з командою.
• Англійська мова на рівні Upper-Intermediate.