Jobs DevOps

• Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.
  
  The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

   

• Responsibilities:

  - Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
  - Build and optimize CI/CD pipelines to support automated and secure software delivery.
  - Deploy and manage applications using Docker and Kubernetes.
  - Manage secrets, privileged access, and artifact repositories.
  - Implement security, monitoring, logging, and disaster recovery best practices.
  - Collaborate with engineering and security teams to improve platform reliability and security.
  - Support cloud migrations and infrastructure hardening initiatives.

   

• Mandatory Skills Description:

  - engagement till November 30 with potential prolongation

  - Strong experience in DevOps engineering (10+ years)
  - Experience with AWS security services and compliance frameworks
  - Strong experience containerizing applications using Docker
  - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
  - Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
  - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
  - Experience implementing automated build, test, deployment, and release pipelines

   

• Nice-to-Have Skills Description:

  - Hands-on experience in using AI tools (e.g., GitHub Copilot)
  - Familiarity with financial services / clearing / trading platforms

• Languages:
  • English: C1 Advanced

• Project Description:

  Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.
  
  The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

• Responsibilities:

  - Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
  - Build and optimize CI/CD pipelines to support automated and secure software delivery.
  - Deploy and manage applications using Docker and Kubernetes.
  - Manage secrets, privileged access, and artifact repositories.
  - Implement security, monitoring, logging, and disaster recovery best practices.
  - Collaborate with engineering and security teams to improve platform reliability and security.
  - Support cloud migrations and infrastructure hardening initiatives.

• Mandatory Skills Description:

  - Strong experience in DevOps engineering (10+ years)
  - Experience with AWS security services and compliance frameworks
  - Strong experience containerizing applications using Docker
  - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
  - Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
  - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
  - Experience implementing automated build, test, deployment, and release pipelines

• Nice-to-Have Skills Description:

  - Hands-on experience in using AI tools (e.g., GitHub Copilot)
  - Familiarity with financial services / clearing / trading platforms

• Languages:
  • English: C1 Advanced

Description

Artificial intelligence (AI) is rapidly transforming the business landscape. From automating mundane tasks to powering data-driven insights, AI promises increased efficiency, improved decision-making and a competitive edge. However, simply implementing AI tools isn’t enough. To realize the full potential of these technologies, organizations need a dedicated role focused on managing, optimizing and governing their AI deployments: the AI Administrator. This emerging role is quickly becoming essential for businesses of all sizes.
We are seeking a dedicated AI System Administrator to manage and optimize our company’s AI systems and platforms.

Requirements

• Cloud Computing: Proficiency in cloud platforms: Azure, Tool: Foundry, OpenAI, PaaS Services, IaaS
• ServiceNow Tools: Experience with ServiceNow tools for Managing Service request and Incidents

Job responsibilities

• Model Monitoring & Management: Continuously monitoring model performance, identifying drift, and triggering retraining or recalibration processes.
• Infrastructure Management: Maintaining and scaling the infrastructure required to support AI workloadsб including cloud resources, servers and storage.
• Cost Optimization: Monitoring resource utilization, identifying inefficiencies and optimizing costs associated with AI infrastructure and operations.
• Security & Compliance: Implementing and enforcing data security policies and ensuring compliance with relevant regulations.
• Bias Detection & Mitigation: Analyzing models for bias and implementing techniques to mitigate it. Working with data science teams to ensure fairness and equity.
• Access Control & Permissions: Managing access to AI models, data, and infrastructure.
• Documentation & Reporting: Maintaining comprehensive documentation of AI models and infrastructure. Generating reports on model performance, data quality and security.
• Collaboration with Data Science: Working closely with data scientists to deploy, monitor and improve models. Providing feedback on model performance and data quality.
  Vendor Management: Evaluating and managing relationships with AI technology vendors.

Your responsibilities will include maintaining the health of our AI systems, resolving technical issues, and ensuring the systems are secure and up-to-date. The ideal candidate is a tech-savvy professional with an in-depth understanding of AI technologies and system administration. The ability to learn quickly and adapt to new technologies is essential.
Ultimately, the AI System Administrator should enhance our AI infrastructure and contribute to building high-quality AI applications that align with our business needs.

About Flamingo

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

Role Overview
This role focuses on building a SaaS product with additional support for local installations. You'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery

• Collaborate with engineering teams on deployment strategies and reliability
   

  Qualifications
  Must-Have

• Kubernetes - strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts
• Terraform - proven experience managing infrastructure as code and operating multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), and policy enforcement in production environments
• CI/CD workflows - experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD
• Databases and messaging - operational knowledge of MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers
• Experience contributing to or maintaining open-source products
• Relevant certifications would be a plus

Why Join Flamingo?

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

About Leadature

Leadature is a B2B event-technology platform, operating since 2008, with Fortune 500 clients and a 17-year track record. We run onsite intelligence for live events: badge scanning, lead capture and retrieval, session and booth tracking, badge printing, RFID, AI enrichment, and post-event reporting. We serve both sides of an event – the organizer running the show and the exhibitors on the floor.

We are a small, senior, fully distributed team. Decisions are fast and we work dynamically.

Why this role exists

Our platform works and it delivers for enterprise clients and SMBs, and has done for years. Over time it inherited a lot of  per-client customisations, product direction is currently split across several owners, which means we build reactively and our roadmap is decided by whichever event is next.

We are deciding now how much of it to modernise and how much to rebuild. Whoever takes this role will be one of a small number of people who genuinely understand how the product works – and central to what we build next.

If you like inheriting a real system with real clients on it, and turning manual work into product, this is that job. If you want greenfield only, it isn't.

What you will do

Support our clients

• Be the technical voice in client conversations, alongside customer success and sales
• Own client technical issues end to end — troubleshooting, data exports, configuration questions — with a client waiting
• Run and improve the enrichment delivery for client events
• Support live events. Events do not respect office hours, and during a show you will be reachable and responsive
• Travel to a small number of client events a year to see the product in the environment it runs in

Build and customise

• Ship the customisations enterprise clients ask for, hands-on
• Stand up client registration and event pages quickly – we are comfortable with AI-assisted development where it gets a working thing in front of a client faster
• Look for the places where AI removes manual work altogether — our enrichment pipeline, badge data cleanup, and reporting are all still done by hand and should not be
• Improve the enrichment pipeline, which we currently run largely by hand

Make the knowledge transferable

• Document how the platform works – campaign structures, data models, integrations, exports
• Replace tribal knowledge with automation, tooling and sane technical governance
• Get us to a point where we can add engineers without a two-month ramp

Support clients directly

• Be the technical voice in client conversations, alongside our customer success and sales team
• Support live events. Events do not respect office hours, and during a show you will be reachable and responsive
• Occasionally travel to client events to see the product in the environment it runs in

Your first 90 days

This is real work waiting, not an onboarding exercise.

1. Document the campaign architecture – how primary, lookup and vertical campaigns interconnect
2. Produce a field dictionary for our event data exports, so anyone can pull a clean file
3. Take ownership of our platform integrations and move them onto proper service accounts
4. Come back with a prioritised product roadmap and tell us what you would change first

What we are looking for

Must have

• Strong .NET / C# engineering, and no fear of a legacy codebase. Our platform is an older ASP.NET application – you should be able to read it, ship into it, and say honestly what is load-bearing and what should be replaced
• Fluent in a modern stack too, because that is where we are heading: current .NET (8 or later) with ASP.NET Core, Entity Framework Core, SQL Server or PostgreSQL, React with TypeScript, and containerised deploys with CI/CD. You don't need every one of these, but you should have built and shipped on a current stack recently – not only maintained an old one
• Excellent written English, and comfort being in front of enterprise clients
• Willingness to be available during live events, including outside normal hours
• Genuine AI proficiency, not curiosity. You use coding assistants and agentic tools daily and have opinions about which ones earn their place. You have used LLMs on real data work
• Self-direction. Nobody here will manage your calendar

Nice to have

• Event technology, ticketing, registration, or conference-tech background. This is a genuine advantage and we will weight it heavily
• Experience with badge and registration APIs generally
• Data work: reporting, enrichment, moving messy data between systems
• Having built something with an LLM in the product itself, not just in your own workflow

Working setup

• Fully remote. We work across US and European hours
• Contract engagement to start, with scope for it to grow as the platform does
• A few events a year might involve travel, fully covered

How we hire

1. Short screening call
2. Technical conversation with one of our senior engineers
3. Test task / a working session on a real problem from our backlog
4. Final conversation with our CEO

We are looking Senior Kubernetes Platform Engineers to join a large-scale cloud-native platform project focused on Kubernetes, platform automation and GitOps.

 

• Remote within Europe
• Start: ASAP
• Duration: Until end of the year + strong extension potential
• Capacity: 100%
• Project language: English
• Time zone: German business hours

Responsibilities

• Scale, optimize and enhance existing Kubernetes clusters
• Design and configure new cluster environments
• Develop and maintain Kubernetes Operators & Custom Controllers
• Work with Go & Kubebuilder
• Build and improve platform automation
• Automate infrastructure and platform lifecycle processes
• Implement GitOps workflows with FluxCD
• Work on testing, reliability and continuous platform improvements

Requirements

• Strong hands-on Kubernetes experience in enterprise-scale environments
• Experience operating and scaling large Kubernetes landscapes
• Strong Go (Golang) skills
• Kubebuilder
• Proven experience with Operators / Custom Controllers
• Strong GitOps knowledge
• FluxCD
• Crossplane
• Platform Engineering & Platform Automation experience
• Fluent English

Nice to have:

• Gardener
• SAP BTP
• AWS / Azure / GCP
• Large-scale cloud-native platforms
• Platform Engineering / SRE experience

About the Project

We are looking for an experienced DevOps Engineer with strong Python expertise to work on the core engine behind an AI assistant.

The platform processes customer requests within a regulated environment, with a strong focus on security, reliability, and performance.

Responsibilities

• Build and maintain AWS infrastructure as code using Terraform, Docker, and ECS
• Manage IAM, AWS Secrets Manager, encryption, security, monitoring, and logging
• Build and expose data through REST APIs
• Maintain a clean GitHub workflow, including branches, pull requests, and code reviews
• Write and maintain unit and integration tests using pytest
• Implement security scanning and support platform performance optimization

Requirements

• Solid cloud expertise, preferably with AWS
• Strong hands-on experience with infrastructure as code, preferably Terraform
• Experience with Docker and containerized environments
• Practical experience with IAM, AWS Secrets Manager, ECS, and encryption
• Hands-on experience setting up infrastructure security, monitoring, and logging in AWS
• Experience building and exposing data through REST APIs
• Strong knowledge of GitHub team workflows, feature branches, pull requests, and code reviews
• Experience writing automated unit and integration tests using pytest, including mocking and fixtures

• Experience with security scanning and platform performance

   

Nice to Have

• Experience in telecom, fintech, or a similar regulated industry
• Exposure to agentic systems, LLM orchestration, or retrieval-augmented generation (RAG)

Location: Poland (priority for candidates locally based in Poland)

EU  | Remote | B2B

We’re looking for a Cloud Backend & Edge DevOps Engineer to join an enterprise IoT platform project.

The main focus of the role is integrating Mender Enterprise SaaS into the existing IoT ecosystem and enabling secure, centrally managed Over-The-Air (OTA) software updates across a fleet of remote edge devices.

About the project:

You’ll join an engineering initiative focused on improving the resilience and operational capabilities of an enterprise IoT platform.

One of the key project streams is introducing an enterprise-grade OTA solution for secure fleet-wide software deployment, progressive rollouts and automatic recovery across remote edge devices.

🎯What you’ll do:

* Deploy and integrate Mender Enterprise SaaS with the existing IoT platform

* Build backend API integrations for fleet-wide OTA software updates

* Configure progressive/staged software rollouts

* Implement fail-safe automatic rollback mechanisms for edge-device updates

* Build software package/artifact signing pipelines

* Work with secrets management and software supply-chain security

* Support secure software distribution across distributed IoT/Edge environments

* Collaborate with Backend and DevOps engineers on platform integration

🧩What we’re looking for:

* Strong experience with API integrations and backend systems

* Proficient scripting skills with Python, Bash and/or PowerShell

* Experience with IoT / Edge environments

* Experience with software supply-chain security

* Hands-on knowledge of code signing / software package signing

* Experience with secrets management

* Good understanding of DevOps, deployment automation and secure software delivery

🚀Strong advantage:

* Experience with Mender Enterprise or similar OTA/device management platforms

* Experience with Azure IoT

* Knowledge of progressive deployments, rollback strategies and fleet management

* Experience integrating SaaS platforms into existing backend architectures

If your background combines backend/API integrations, scripting and secure software delivery, we’d be happy to discuss the project.

Role Summary
Technical implementation role focused on building, automating, operating, and scaling the Renovate platform across a very large GitLab landscape.

Key Responsibilities:
• Implement and deploy the self-hosted Renovate environment
• Build automated repository discovery and onboarding processes via GitLab APIs
• Create and maintain central configuration presets and repository-level extensions
• Implement monitoring, logging, alerting, and reporting dashboards
• Optimize performance, scalability, caching, and rate-limit handling
• Integrate artifact repositories and secure credential stores
• Produce operational documentation and support development teams during rollout
• Ensure stable operation across thousands of repositories

Required Skills:
• Proven experience as DevOps, Platform, or Automation Engineer
• Strong GitLab CI/CD and GitLab API expertise
• Hands-on experience with Kubernetes and container platforms
• Infrastructure-as-Code knowledge (e.g. OpenTofu, Helm)
• Scripting/programming skills (Bash, Python, JavaScript/TypeScript)
• Experience with observability platforms, ideally New Relic
• Knowledge of Vault, secrets management, and package/container registries
• Practical Renovate experience
• Strong automation mindset and independent working style

Project Details
·      Start: asap
·      End: 15 December 2026 (including option for extension)
·      Remote assignment
·      German client in the energy sector
·      Agile setup
Language : English

Description

The client is a leader in delivering proven business and IT strategies and solutions to companies across various industries. The company provides value-driven services throughout the IT life cycle, from systems planning to systems integration, operation, and maintenance. It delivers products and services of superior value to customers worldwide through key subsidiaries in the United States, Europe, China, and India.

Requirements

Requirements: DevOps practice, Linux,Windows administration,(IBM systems).

Job responsibilities

• Work with a team on the implementation, testing, maintenance, and migration of configuration management tools
• Design and develop comprehensive AIOps tooling, automation frameworks, and delivery pipelines
• Deliver new functionality and maintain core platform components and infrastructure services
• Contribute to engineering efforts from planning and design through implementation and delivery
• Deliver appropriate documentation and maintain clear communication regarding project deliverables
• Ensure code quality through code reviews, automated testing, integration validation, and engineering best practices
• Maintain direct daily communication with client and cross-functional team members

DBB Software - is a software engineering IT company from Ukraine with a unique point of difference. We provide an exciting concept involving highly trained and vetted remote software developers to provide businesses with everything they need in the information technology space. Whether it’s end-to-end IT or smaller, focused areas and individual projects, we cover it all, and our approach allows us to offer exceptionally competitive pricing.

During 8 years in the IT market, we successfully released more than 30 projects and have a wide geographic of clients in Europe, USA, and Canada.  

Now we continue growing and extending our team so we warmly invite Junior DevOps Engineer to our team in Dnipro city! 

What requirements are important for this role:

-At least one year of experience in a relevant position, focusing on service development and internal tooling;

-Familiarity with automating and deploying in cloud environments like AWS or GCP;

-Basic knowledge of infrastructure-as-code practices with tools like Terraform, including familiarity with services such as EKS, RDS, and VPC Networking;

-Understanding of application monitoring and observability tools, e.g., Datadog;

-Experience with CI/CD pipeline automation tools like GitHub Actions, CircleCI, or ArgoCD;

-Competency in developing software with languages such as Go, Typescript, Python, or similar;

-Familiarity with managing Kubernetes environments and related tools like Helm.

What we are expecting from new teammate:

-Assist teams in the development, testing, and deployment of software modifications;

-Set up and manage monitoring, alerting, metrics, and logging systems, along with associated dashboards;

-Employ infrastructure as code (IaC) practices using tools like Terraform for efficient infrastructure management;

-Support the design of infrastructure for CI/CD pipelines, containerization, and orchestration workflows for diverse applications;

-Help implement and automate security protocols, governance structures, and compliance checks;

-Upper-Intermediate level of both spoken and written English;

-Ability to work in our Dnipro office required.

Working with our team is:

-Flexible schedule;

-Benefit package with paid vacations and sick leaves;

-Salary reviews on a regular basis;

-Autonomy in decision-making, no bureaucracy and pressure;

-People-oriented culture and healthy atmosphere in the team;

-Whole support from company management;

-Office in Dnipro with whole BCP support: generators, power stations, and Starlink, only office type of work.

| GitLab Duo / Python / Atlassian / GenAI  
EU Remote | B2B

About the project:

We are building an end-to-end AI agent workflow connecting Atlassian Rovo with GitLab Duo. 

The goal is to create a working prototype that connects agile planning with software development through AI-powered automation, with a clearly defined Jira-to-GitLab integration point and a concept for scaling the solution further. Atlassian Rovo supports the planning stage by collecting requirements, using knowledge from Jira and Confluence, and creating high-quality User Stories with Acceptance Criteria. Once a User Story is ready, the workflow is handed over to GitLab Duo, where AI supports the software development process — from generating a technical specification to creating the initial code structure, tests, and Merge Request.

Your role:

-Design and implement AI-driven development and DevOps workflows.

-Develop the integration between Jira / Atlassian Rovo and GitLab.

-Build automation around GitLab repositories, branches, and Merge Requests.

-Enable the transformation of Jira User Stories into technical specifications.

-Automate Git branch and initial code structure creation.

-Support AI-assisted code and test generation.

-Automate Merge Request creation and preparation.

-Define and implement the technical handoff between Jira and GitLab.

-Develop automation and integration components using Python.

-Work with REST APIs, webhooks, and system integrations.

-Integrate AI capabilities into existing software development and DevOps processes.

-Contribute to the design of a scalable solution beyond the initial prototype.

What we’re looking for:

-Experience as a DevOps Engineer, Platform Engineer, DevOps Automation Engineer, Developer Experience Engineer, or in a similar technical role.

-Strong hands-on experience with GitLab, including CI/CD, repositories, branches, and Merge Requests.

-Strong understanding of CI/CD, Git workflows, and modern software development processes.

-Strong hands-on Python experience, particularly for automation and integrations.

-Experience with REST APIs, webhooks, and system integrations.

Good understanding of Generative AI, LLMs, AI agents, and AI-driven automation.

-Experience with Jira, Confluence, or other Atlassian products.

Ability to integrate automation and AI capabilities into existing technical workflows.

-Strong analytical and problem-solving skills.

-English - B2.

Nice to have:

-Experience with GitLab Duo or similar AI coding/development assistants.

-Experience with Atlassian Rovo.

-Experience building AI agents or agentic workflows.

-Experience with MCP, LLM APIs, or AI automation.

-Experience integrating GitLab with external systems.

-Experience with TypeScript and/or Java.

-Knowledge of cloud platforms and infrastructure automation.

What we offer:

-Fully remote work within the EU.

-Opportunity to work on an innovative GenAI + DevOps project.

-Hands-on work with GitLab Duo and Atlassian Rovo capabilities.

-Opportunity to build an end-to-end AI-driven software development workflow.

-Opportunity to contribute to a prototype with potential for further scaling.

We are looking for a mid-level DevOps engineer with hands-on experience building, securing, and operating production applications on AWS.
 

You should be able to independently manage infrastructure, build deployment pipelines, investigate production problems, and automate operational work. Strong experience with Terraform, Docker, and GitHub Actions is highly preferred.

Our work includes reusable cloud environments for healthcare applications, automated security assessments, and monitoring products across customer deployments. You will contribute to both our infrastructure and new product development.

We are looking for creative people who enjoy developing novel concepts, challenging assumptions, and turning ideas into working solutions. We strongly encourage thinking outside the box. You should be comfortable proposing an approach, building a prototype, testing it, and improving it based on results.

Responsibilities

• Design and maintain AWS infrastructure for development, staging, and production.
• Build reusable Terraform modules and reliable CI/CD pipelines with deployment checks and rollback procedures.
• Deploy and operate containerized applications, APIs, databases, and background workers.
• Implement access controls, network isolation, encryption, secrets management, and secure logging.
• Build monitoring, dashboards, and alerts that identify application failures and help investigate their causes.
• Configure backups, test restoration, and verify recovery against agreed objectives.
• Investigate incidents, resolve security findings, and improve system reliability and operating costs.
• Prepare architecture documentation and technical evidence for cloud reviews and customer security assessments.
• Develop reusable tools for deployment, monitoring, security checks, and evidence collection.
• Propose and prototype new approaches that simplify operations or create useful product capabilities.

Required Qualifications

• At least three years of DevOps, cloud infrastructure, or site reliability engineering experience, including two years operating production applications on AWS.
• Strong experience with Terraform, Docker, and GitHub Actions or comparable tools.
• Strong Linux troubleshooting skills and proficiency in Bash or Python.
• Practical understanding of networking, DNS, TLS, authentication, and authorization.
• Experience with cloud access management, secrets, encryption, and separation between environments.
• Ability to troubleshoot application and infrastructure failures using logs, metrics, and deployment history.
• Experience with monitoring, backups, recovery, and safe database migration practices.
• Experience with Git, code review, and controlled infrastructure changes.
• Ability to work independently and communicate clearly in English.

Preferred Qualifications

• Experience assessing cloud architecture, identifying security and reliability gaps, and collecting evidence that controls work.
• Experience implementing safeguards for healthcare applications, including sensitive-data boundaries, access auditing, and data protection.
• Experience building reusable infrastructure for separate customer accounts.
• Experience developing monitoring across multiple deployments, including useful alerts and escalation procedures.
• Familiarity with vulnerability scanning, software supply-chain security, and database operations.
• Experience with AI-assisted development tools, particularly Claude Code.

How We Work

We value initiative, curiosity, and ownership. You will work closely with developers, participate in architecture decisions, and help define what we build.

We encourage experimentation and practical solutions. Bring ideas, explain the tradeoffs, and demonstrate what works. Infrastructure changes should be reproducible, deployments verifiable, and recovery procedures tested.

We use Claude Code to accelerate implementation, troubleshooting, and documentation. You remain responsible for understanding, reviewing, and validating the resulting work.

Join a high-impact cybersecurity project focused on protecting large-scale digital platforms from automated attacks and malicious activity. 

We are looking for a Senior DevOps/FinOps Engineer who is passionate about infrastructure optimization, cloud efficiency, and solving complex technical challenges in high-load environments.

You will become part of a highly autonomous engineering team working on infrastructure scalability, reliability, and cost-efficiency improvements for a mature production-grade platform. The role combines DevOps expertise, FinOps practices, and strategic collaboration with Product and Engineering stakeholders.

We at Sigma Software value ownership, proactive thinking, and technical excellence. This is an opportunity to influence infrastructure strategy directly while working alongside experienced professionals on a globally impactful cybersecurity solution.

CUSTOMER

Our Customer is a global cybersecurity company delivering advanced solutions that help organizations protect digital ecosystems, applications, and online services from sophisticated automated attacks, fraud, and malicious activity. Operating at large scale, the company focuses on improving online trust, security, and operational resilience across modern digital platforms.

PROJECT

The project is a high-load cybersecurity platform designed to safeguard applications and online services from malicious bot traffic and automated threats. The system operates within complex distributed environments and requires continuous optimization of infrastructure performance, scalability, and cloud spending efficiency.

You will work closely with Engineering and Product teams to identify technical gaps, improve infrastructure visibility, and drive cost optimization initiatives across production systems.

Key Technologies: GCP, Kubernetes, Terraform, FinOps, Infrastructure-as-Code, Distributed Systems

RESPONSIBILITIES:

• Develop a deep understanding of complex, high-traffic infrastructure systems and services
• Analyze distributed systems and legacy components to identify inefficiencies and optimization opportunities
• Build and maintain infrastructure cost visibility, including reporting pipelines and dashboards
• Identify and implement short-term and long-term infrastructure optimization initiatives
• Collaborate with Engineering and Product teams to present and drive technical improvements
• Own optimization initiatives end-to-end, from proposal to implementation and impact validation
• Improve infrastructure scalability, reliability, and operational efficiency
• Contribute to Infrastructure-as-Code and automation practices

REQUIREMENTS:

• At least 5 years of hands-on DevOps experience in high-traffic production environments
• Strong practical experience with FinOps, infrastructure cost optimization, and reporting
• Deep understanding of cloud infrastructure cost drivers and optimization strategies
• Experience presenting technical proposals and optimization initiatives to engineering leadership
• Solid hands-on experience with Google Cloud Platform
• Production experience with Kubernetes
• Practical experience with Infrastructure-as-Code tools, preferably Terraform
• Knowledge of observability and monitoring solutions
• At least an Upper-Intermediate level of English

WILL BE A PLUS:

• Experience working with multi-cloud environments
• Background in cybersecurity, fraud prevention, trust & safety, or application protection
• Experience with large-scale distributed systems

PERSONAL PROFILE

• Proactive and self-driven mindset
• Strong ownership and accountability
• Ability to work independently in high-autonomy environments
• Excellent communication and stakeholder management skills
• Strategic and systems-thinking approach
• Ability to balance short-term improvements with long-term technical strategy

We are looking for a Strong Middle DevOps Engineer who will be responsible for maintaining, deploying, and supporting our on-premise enterprise product across customer environments, ensuring reliability, scalability, and smooth delivery processes.

Requirements:

• Strong Linux and Windows administration skills;
• Experience configuring and maintaining IIS and Nginx;
• Practical experience with Docker and Kubernetes (on-premise environments);
• Experience building and maintaining GitLab CI/CD pipelines;
• PostgreSQL administration and maintenance;
• MongoDB administration and maintenance;
• ELK Stack administration and monitoring;
• Strong Git knowledge and workflow management;
• Advanced understanding of networking concepts (TCP/IP, DNS, routing, firewalls);
• Solid understanding of CI/CD processes and infrastructure automation;
• Experience deploying and supporting enterprise software solutions in customer environments;
• Knowledge of modern scripting languages (at least one).

Nice to Have: 

• Experience with Infrastructure as Code tools (Terraform, Ansible);
• Experience with monitoring and observability tools (Prometheus, Grafana);
• Understanding of security best practices for on-premise infrastructure and deployments;
• Experience with backup and disaster recovery strategies;
• Experience working in highly available and distributed environments.

Responsibilities:

• Diagnose and troubleshoot infrastructure, deployment, and application issues;
• Automate product lifecycle and operational processes;
• Monitor services, applications, and infrastructure health;
• Collaborate closely with development teams and customer technical stakeholders;
• Deploy releases to testing, staging, and production environments;
• Install, configure, and maintain on-premise product deployments;
• Support product deployments across Linux, Windows, and macOS environments;
• Maintain and improve CI/CD pipelines and deployment automation;
• Optimize system performance, reliability, and scalability;
• Create and maintain technical documentation, deployment guides, and operational procedures;
• Participate in incident response, root cause analysis, and continuous improvement initiatives.