Senior Backend / Cloud Engineer (Azure & DevOps Focus)

🏢 Summary: Oferta dotyczy roli DevOps odpowiedzialnej za projektowanie, wdrażanie i utrzymanie nowoczesnych narzędzi deweloperskich oraz infrastruktury, w tym kompleksowych pipeline’ów CI/CD. Stanowisko koncentruje się na automatyzacji procesów, implementacji Infrastructure as Code oraz zapewnieniu wysokich standardów bezpieczeństwa w środowiskach lokalnych i chmurowych. Rola obejmuje również wsparcie zespołów developerskich oraz zarządzanie podatnościami i aktualizacjami systemów. 🗂️ Requirements: Minimum 2-3 lata doświadczenia w DevOps, Zaawansowana znajomość Windows i Linux, Doświadczenie z Kubernetes, Helm i Ingress, Praktyka w CI/CD z użyciem Azure DevOps, TeamCity lub Octopus, Doświadczenie z Ansible, Praktyczne wykorzystanie Infrastructure as Code, Znajomość Terraform, Znajomość MS SQL Server, Znajomość sieci i protokołów: Subnets, Firewalls, Routing, DNS, HTTP, TLS/SSL, Doświadczenie w zarządzaniu podatnościami i patch remediation, Doświadczenie z narzędziami do skanowania podatności, Praktyczna znajomość Microsoft Azure, Umiejętność tworzenia skryptów automatyzujących 📃 Skills: Azure, Kubernetes, Helm, Ingress, Terraform, Ansible, AzureDevOps, TeamCity, Octopus, PowerShell, Linux, Windows, SQLServer, DNS, HTTP, TLS, SSL, Subnets, Firewalls, Routing, Veracode, Qualys, Gradar, AWS, GCP, Bash 🏢 Description: Główne obowiązki: Projektowanie, konfiguracja oraz utrzymanie nowoczesnych narzędzi deweloperskich i infrastruktury informatycznej (w tym kompleksowe wdrażanie pipeline'ów CI/CD). Automatyzacja oraz ciągła optymalizacja procesów wytwarzania i wdrażania oprogramowania (release management). Implementacja środowisk w modelu Infrastructure as Code (IaC) zgodnie z wymogami projektowymi. Praca z powłokami PowerShell oraz Linux Shell, a także weryfikacja, testowanie i analiza wyników kodu dostarczanego przez inne zespoły. Zapewnienie rygorystycznych standardów bezpieczeństwa systemów oraz proaktywna ochrona przed zagrożeniami cybernetycznymi. Identyfikacja problemów technicznych, diagnozowanie błędów oraz opracowywanie i wdrażanie odpowiednich aktualizacji i poprawek (fixes). Ścisła współpraca z zespołami programistycznymi w celu zagwarantowania zgodności procesu deweloperskiego z przyjętymi procedurami i standardami architektonicznymi. Wymagania: Minimum 2-3 lata udokumentowanego doświadczenia zawodowego w obszarze DevOps. Zaawansowana znajomość systemów operacyjnych Windows i Linux, baz danych Microsoft SQL Server oraz środowisk Kubernetes (w tym wdrażanie i utrzymanie aplikacji z wykorzystaniem Helm i Ingress). Ekspercka wiedza z zakresu dostarczania skalowalnych, odpornych na awarie i zautomatyzowanych procesów budowania oprogramowania (w środowiskach lokalnych i chmurowych) przy użyciu narzędzi takich jak: Azure DevOps, TeamCity, Octopus oraz Ansible (w tym dla wysokiej jakości potoków danych). Praktyczne doświadczenie w pracy z podejściem Infrastructure as Code (z silną preferencją dla narzędzia Terraform). Ugruntowana wiedza dotycząca komponentów sieciowych, protokołów oraz zabezpieczeń ( m.in . Subnets, Firewalls, Routing, DNS, HTTP, TLS/SSL). Znajomość procesów oraz frameworków związanych z zarządzaniem podatnościami i mitygacją luk w zabezpieczeniach (patch remediation). Biegłość w procesach aktualizacji platform, ze szczególnym uwzględnieniem niwelowania luk bezpieczeństwa (np. obsługa certyfikatów, wzmacnianie siły szyfrowania, konfiguracja SSL/TLS). Doświadczenie w automatyzacji zarządzania aktualizacjami oraz znajomość narzędzi do skanowania podatności (np. Veracode, Gradar, Qualys lub pokrewne). Praktyczna znajomość środowisk chmurowych, ze szczególnym uwzględnieniem Microsoft Azure (doświadczenie z AWS lub Google Cloud będzie stanowić zaletę). Umiejętność tworzenia skryptów w celu automatyzacji codziennych, rutynowych zadań administracyjnych. Mile widziane: Posiadanie oficjalnych certyfikatów potwierdzających kompetencje w obrębie wiodących platform chmurowych (AWS / Azure / GCP). Posiadanie certyfikatu Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

🏢 Summary: The offer is for a Backend .NET Developer responsible for building and maintaining robust backend systems while supporting full software development lifecycle and DevOps practices. The role involves working in Agile teams, ensuring high performance, scalability, and seamless integration of applications. The position also emphasizes containerization and cloud-based solutions using Azure. 🗂️ Requirements: Proven experience with .NET development, Strong knowledge of Docker, Strong knowledge of Kubernetes, Familiarity with Microsoft Azure, Experience with Azure DevOps Server, Experience working in Agile environments 📃 Skills: .NET, Docker, Kubernetes, Azure, AzureDevOpsServer, Agile, DevOps, Microservices 🏢 Description: Main Responsibilities Design, develop, and maintain robust backend solutions. Collaborate across teams to ensure seamless software integration. Participate in the full software development lifecycle. Implement DevOps practices for continuous integration and delivery. Optimize application performance and scalability. Review and improve code quality through peer reviews. Key Requirements Proven experience with .NET development. Strong knowledge of Docker and Kubernetes . Familiarity with Microsoft Azure and Azure DevOps Server . Experience working in Agile environments . Strong problem-solving skills. Nice to Have Experience with microservices architecture . Knowledge of additional programming languages. Familiarity with front-end technologies.

🏢 Summary: The offer is for a Backend .NET Developer responsible for building and maintaining scalable backend solutions within a DevOps-driven environment. The role involves full software development lifecycle participation, cloud integration, and performance optimization. The position requires collaboration in Agile teams and ensuring high code quality and seamless deployment processes. 🗂️ Requirements: Proven experience with .NET development, Strong knowledge of Docker, Strong knowledge of Kubernetes, Familiarity with Microsoft Azure, Experience with Azure DevOps Server, Experience working in Agile environments, Experience implementing CI/CD practices, Ability to optimize application performance and scalability 📃 Skills: .NET, Docker, Kubernetes, Azure, AzureDevOps, CI/CD, Agile 🏢 Description: Main Responsibilities Design, develop, and maintain robust backend solutions. Collaborate across teams to ensure seamless software integration. Participate in the full software development lifecycle. Implement DevOps practices for continuous integration and delivery. Optimize application performance and scalability. Review and improve code quality through peer reviews. Key Requirements Proven experience with .NET development. Strong knowledge of Docker and Kubernetes . Familiarity with Microsoft Azure and Azure DevOps Server . Experience working in Agile environments . Strong problem-solving skills. Nice to Have Experience with microservices architecture . Knowledge of additional programming languages. Familiarity with front-end technologies.

🏢 Summary: The offer is for a Data Engineer/DevOps professional to build and maintain scalable data platforms and cloud infrastructure, automate data workflows using CI/CD and Infrastructure as Code, and optimize data pipelines for high availability and security. The role focuses on managing data processing environments and supporting model deployment in collaboration with data teams. 🗂️ Requirements: Proficiency in Linux/Unix administration, Strong Shell scripting skills, Advanced knowledge of Python, Advanced knowledge of SQL, 3–5 years experience in Data Engineering or DevOps, Degree in Computer Science, Data Engineering, or related field 📃 Skills: Linux, Unix, Shell, Python, SQL, Azure, Spark, Databricks, Docker, Kubernetes, Terraform, Ansible, Hadoop, Kafka, CICD 🏢 Description: Key Responsibilities Infrastructure Management: Build and maintain scalable data platforms and cloud-based infrastructure. Automation: Implement CI/CD pipelines for data workflows and automate manual processes using Infrastructure as Code (IaC). Pipeline Optimization: Monitor, troubleshoot, and optimize data processing jobs to ensure high availability. Security & Compliance: Ensure data integrity and security across all environments. Collaboration: Work closely with Data Scientists and Engineers to streamline the deployment of data models. Requirements Systems & Scripting: Strong proficiency in Linux/Unix administration and Shell scripting. Programming: Advanced knowledge of Python and SQL . Mindset: Exceptional analytical and problem-solving skills. Education: Degree in Computer Science, Data Engineering, or a related technical field. Experience: 3–5 years of proven experience in Data Engineering or a DevOps-related role. Nice-to-have Cloud & Big Data: Hands-on experience with Azure , Apache Spark , and Databricks . DevOps Tools: Proficiency with Docker , Kubernetes , CI/CD tools, and IaC (e.g., Terraform, Ansible). Data Ecosystems: Familiarity with Big Data technologies such as Hadoop or Kafka .

🏢 Summary: Senior Network Engineer role focused on designing and delivering a global AWS-based network backbone across multiple regions. The position centers on building secure, scalable connectivity using AWS Cloud WAN, AWS Network Firewall, and Terraform-driven infrastructure as code. The role combines hands-on implementation, automation, and multi-region network optimization in a cloud-first environment. 🗂️ Requirements: 5+ years of network engineering experience in enterprise cloud environments, Hands-on expertise with AWS Cloud WAN and multi-region connectivity, Strong proficiency in Terraform for infrastructure as code, Experience designing centralized egress architectures with AWS Network Firewall, Experience delivering large-scale network infrastructure projects, Experience with network automation and DevOps practices, Ability to troubleshoot complex multi-region network environments 📃 Skills: AWS, CloudWAN, Terraform, NetworkFirewall, IaC, DevOps, Agile, Routing, Automation, Monitoring, Troubleshooting 🏢 Description: Key Responsibilities: - Deliver the entire global network backbone infrastructure across IAD, PDX, and DUB regions as defined in the project plan. - Build centralized egress architectures using AWS Network Firewall to ensure secure, scalable, and cost-effective traffic management across all regions. - Build and maintain AWS Cloud WAN infrastructure to provide seamless connectivity and routing across our global network footprint. - Develop and maintain infrastructure as code using Terraform to ensure consistent, repeatable, and version-controlled network deployments. - Collaborate with security architects, cloud engineers, and other stakeholders to understand requirements and translate them into robust network architectures and technical specifications. - Drive the implementation of network automation and self-service capabilities to enable parallel development and incremental delivery of network services. - Lead by example through hands-on technical work while mentoring other network engineers, providing technical guidance and knowledge transfer. - Ensure the reliability, performance, and security of network infrastructure through comprehensive testing, monitoring, and continuous improvement - Drive the adoption of best practices in network engineering, including infrastructure as code or automation-first approaches. - Troubleshoot and resolve complex network issues across multi-region environments in a timely manner. - Stay up-to-date with the latest AWS networking services, industry trends, and technologies to ensure our infrastructure remains competitive and efficient. Required Skills and Experience: - 5+ years of experience in network engineering, with a focus on enterprise cloud networking solutions. - Deep, hands-on expertise in AWS Cloud WAN, including configuration, routing policies, and multi-region connectivity. - Strong proficiency in Terraform for infrastructure as code, with proven experience managing complex network deployments. - Extensive experience designing and implementing centralized egress architectures using AWS Network Firewall, including policy management and traffic inspection. - Proven track record of delivering large-scale network infrastructure projects in a fast-paced environment. - Excellent problem-solving skills and the ability to think critically and creatively about complex network challenges. - Strong communication and collaboration skills, with the ability to work effectively in a cross-functional, team-oriented environment. - Experience with agile methodologies and DevOps practices applied to network infrastructure. - Ability to communicate fluently in English.

🏢 Summary: Platform Engineer role focused on designing, building, and maintaining Azure-based cloud infrastructure, Kubernetes clusters, and shared CI/CD pipelines. The position centers on Azure DevOps pipeline templates, Infrastructure as Code with Terraform, and automation for .NET application deployments. The role ensures secure, standardized, and reliable platform operations across environments. 🗂️ Requirements: Hands-on experience with Azure Kubernetes Service (AKS) configuration and operations, Strong knowledge of CI/CD principles and GitFlow branching strategy, Experience building and maintaining Azure DevOps YAML pipelines, Proficiency in PowerShell Core 7+ scripting and module development, Experience with Terraform modules and state management, Experience with Azure services (Key Vault, ACR, Service Bus, SQL Database, Storage, Managed Identities, RBAC), Knowledge of .NET build and containerization processes, Understanding of Azure networking (VNets, NSGs, private endpoints, DNS, ingress), Experience managing multi-stage deployment pipelines, Ability to design and maintain Infrastructure as Code solutions 📃 Skills: Azure, AKS, AzureDevOps, YAML, Terraform, PowerShell, Kubernetes, Helm, Docker, ACR, .NET, NuGet, SQL, DACPAC, ServiceBus, KeyVault, RBAC, ManagedIdentities, VNets, NSG, DNS, OpenShift, SonarQube, Keycloak, AzureCLI 🏢 Description: About the Role The Platform Engineer is a key member of the Platform Team, responsible for enabling development, deployment, and operation of applications across the organization. You will design, build, and maintain the shared foundations — pipelines, infrastructure, and tooling — that development teams rely on to ship software faster, more securely, and more reliably. You will own and evolve a shared Azure DevOps pipeline template library consumed by all application teams, manage Azure Kubernetes Service (AKS) clusters (including confidential compute), and automate infrastructure provisioning using Infrastructure as Code. Key Responsibilities Platform Engineering & Infrastructure Design, build, and maintain Azure Kubernetes Service (AKS) clusters — both private and public — including node pool configuration, networking, ingress, autoscaling, and confidential compute workloads. Manage and evolve the Azure cloud platform: subscriptions, resource groups, Key Vault, Azure Container Registry, Service Bus, Storage Accounts, and SQL databases. Operate and support OpenShift environments where applicable. Ensure platform security, reliability, and compliance with organizational standards (network policies, managed identities, TLS, RBAC). CI/CD Pipeline Development & Maintenance Develop and maintain shared, reusable CI/CD pipeline templates (YAML) in Azure DevOps, consumed by all application repositories across the organization. Build and optimize multi-stage deployment pipelines covering build, test, package, and deploy for .NET 8 applications, including container image builds (Docker/ACR), database deployments (DACPAC/sqlpackage), and Service Bus provisioning. Author and maintain PowerShell Core 7+ modules and scripts that drive pipeline logic — configuration generation, deployment map parsing, secret retrieval, Terraform variable construction, and Helm-based deployments. Ensure pipelines enforce security, quality gates (SonarQube), and environment promotion controls (DEV → TST → VAL → Manual Gate → PRD). Standardize deployment patterns so all project teams follow consistent, auditable release workflows. Infrastructure as Code (IaC) Design, author, and maintain Terraform modules for provisioning and configuring Azure resources: AKS workloads (via Helm provider), Keycloak identity clients, SQL users, managed identities, Key Vault HSM keys, and Service Bus RBAC. Automate provisioning, scaling, and lifecycle management of infrastructure resources using Terraform, Azure CLI, and PowerShell. Manage Terraform state (Azure Storage backend with AAD auth) and ensure safe, repeatable deployments across environments. Repository & Azure DevOps Administration Administer the shared Common/devops repository and associated deployment configuration repositories. Support version control practices, branching strategy (GitFlow: DEV/MAIN/hotfix), and PR validation workflows. Manage Azure DevOps service connections, agent pools, variable groups, and environment approvals. Collaboration & Enablement Serve as the bridge between infrastructure and application development teams, helping them integrate platform capabilities into their workflows. Provide guidance and support on platform standards, deployment map configuration, pipeline extension patterns, and troubleshooting. Write and maintain documentation (README, schema references, onboarding guides) for consuming teams. Review contributions to shared platform code for architectural consistency and backward compatibility. Key Requirements - Hands-on experience operating and configuring Azure Kubernetes Service — networking, ingress, node pools, autoscaling, confidential compute, Helm chart deployments. - Strong understanding of CI/CD principles, GitFlow branching, environment promotion, and deployment automation. - Familiarity with .NET 10 build toolchain (dotnet build), NuGet, solution/project structure, and containerizing .NET applications. - Proficiency in PowerShell Core 7+ — writing modules (.psm1), classes, Pester 5+ tests, and robust scripting with proper error handling. - Broad experience with Azure services: Key Vault, Container Registry, Service Bus, Storage Accounts, SQL Database, Managed Identities, RBAC. - Understanding of cloud architecture principles — scalability, high availability, security, cost management. - Experience with Azure DevOps (TFS) — YAML pipelines, extends templates, repositories, service connections, agent pools, artifacts. - Ability to author and maintain multi-stage YAML pipeline templates with parameterization, conditions, and template composition. - Experience writing and maintaining Terraform configurations — modules, providers (azurerm, helm, keycloak, mssql, kubernetes), state management, plan/apply workflows. - Understanding of network concepts relevant to AKS and Azure — VNets, NSGs, private endpoints, DNS, ingress controllers, proxy configuration. - Ability to reason about system architecture — separation of concerns, shared platform design, module boundaries, and extensibility. Nice to Have - Experience with Keycloak or OpenID Connect identity management. - Familiarity with Docker and container image build optimization. - Knowledge of database deployment automation (DACPAC, sqlpackage). - Experience with SonarQube or similar code quality tooling. - Familiarity with confidential computing on Azure. - Experience with OpenShift container platform.

🏢 Summary: Cloud Engineer role focused on automating and securing global Azure infrastructure by transforming network and security processes into scalable Infrastructure-as-Code. The position bridges Network Infrastructure and DevOps, driving cloud networking architecture, DevSecOps integration, and CI/CD automation. Responsible for ensuring architectural stability, security enforcement, and automated multi-region Azure deployments. 🗂️ Requirements: Expert-level Terraform experience, Deep practical knowledge of Microsoft Azure networking, Experience designing complex network topologies (V-WAN, VNET, BGP), Hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or Jenkins), Proficiency in scripting (Python, PowerShell, or YAML), Experience implementing Policy-as-Code and security benchmarks (NIST/CIS), Strong knowledge of DevSecOps practices and automated security testing, Experience managing and automating firewall configurations, Experience working in Agile/Scrum/SAFe environments 📃 Skills: Azure, Terraform, V-WAN, VNET, BGP, DevSecOps, CI/CD, AzureDevOps, GitHubActions, Jenkins, Python, PowerShell, YAML, NIST, CIS, Firewall, Agile, Scrum, SAFe 🏢 Description: The Mission We are looking for a highly skilled Cloud Engineer to bridge the gap between Network Infrastructure and DevOps. Your role is to transform manual networking and security tasks into scalable, automated Infrastructure-as-Code (IaC) . You will be responsible for the architectural stability, security enforcement, and automated deployment of our global Azure footprint. Core Responsibilities Infrastructure Automation: Architect and maintain robust IaC patterns using Terraform to ensure consistent, repeatable deployments. Cloud Networking: Design and optimize complex network topologies (V-WAN, VNET, BGP) across multi-region environments. Security Integration (DevSecOps): Implement Policy-as-Code (NIST/CIS benchmarks) to automate security gating and remediation. CI/CD Orchestration: Build and refine end-to-end pipelines (Azure DevOps, GitHub Actions) to automate the lifecycle of cloud resources. Network Security: Manage and automate firewall workflows, ensuring security protocols are integrated directly into the deployment process. Innovation & Troubleshooting: Resolve complex infrastructure bottlenecks and evaluate emerging tools to keep our stack at the cutting edge. Technical Profile Azure Expert: Deep practical knowledge of Microsoft Azure and its networking ecosystem. IaC Champion: Expert-level Terraform skills are non-negotiable. Automation Mindset: Proficient in scripting (Python, PowerShell, or YAML) to drive self-service infrastructure. DevOps Guru: Proven track record of managing environments via CI/CD (ADO, Jenkins, or GitHub). Methodology: Comfortable working in Agile/Scrum/SAFe environments, understanding both the "how" (code) and the "why" (business delivery). Security-First: Solid grasp of DevSecOps, including automated testing frameworks and operational stability controls.

🏢 Summary: The role involves full ownership of software products, covering architecture design, development, deployment, and maintenance within distributed systems. It focuses on building RESTful microservices, automation tools, and modular components to industrialize asset management processes. The position also ensures system integration, cloud-native deployment, and ongoing optimization in a DevOps environment. 🗂️ Requirements: Advanced proficiency in Python, Experience building RESTful microservices, Experience with ETL data processing, Basic knowledge of Java, Foundational understanding of Spring Boot, Proficiency in PostgreSQL design and optimization, Familiarity with S3 or NAS storage, Experience with Kubernetes and Docker, Experience with CI/CD pipelines, Working knowledge of Linux environments 📃 Skills: Python, Java, Spring, PostgreSQL, S3, NAS, Kubernetes, Docker, Jenkins, BitBucket, Linux, ETL, REST 🏢 Description: Key Responsibilities: End-to-End Product Ownership: Manages the full software lifecycle, from initial concept and architecture design to production release and maintenance. Workflow Automation: Develops internal tools to automate data collection, remediation, and reporting to industrialize asset management processes. Modular Development: Delivers independent, high-quality software modules through iterative cycles of coding, testing, and documentation. System Integration: Ensures seamless integration and maintenance of applications within complex, distributed infrastructures. Technical Collaboration: Works closely with architects and product owners to define technical solutions and security standards. Technical Requirements: Python Expertise: Advanced proficiency in Python for building RESTful microservices, automation scripts, and ETL data processing. Basic Java Knowledge: Foundational understanding of Java and Spring Boot to support existing backend components and minor maintenance tasks. Data & Storage: Proficiency in PostgreSQL (design and optimization) and familiarity with S3 or NAS storage solutions. Cloud & DevOps: Familiarity with Kubernetes, Docker, and CI/CD pipelines (Jenkins, BitBucket) within a Linux environment.

🏢 Summary: Hands-on Lead Cloud Platform Engineer role focused on owning, securing, automating, and optimizing an Azure-based SaaS and AI infrastructure, including Azure Databricks and DevSecOps practices. The position covers end-to-end cloud governance, Kubernetes operations, CI/CD, security, and cost optimization in a large-scale data environment. This is a senior technical role with potential growth into technical or people leadership. 🗂️ Requirements: 7+ years in DevOps/Cloud/Platform/Infrastructure engineering, 4+ years hands-on Azure production experience, Strong Azure governance, RBAC, policies, networking, storage, monitoring, security, Experience with Entra ID and Microsoft 365 administration, Production Kubernetes experience (AKS preferred), Experience managing Azure Databricks infrastructure, CI/CD experience with Azure DevOps and/or GitHub Actions, Scripting skills (PowerShell, Azure CLI, Bash, or Python), Knowledge of cloud security principles (least privilege, secrets management, encryption, auditability), Ability to work independently and drive platform improvements 📃 Skills: Azure, Databricks, DevSecOps, AKS, Kubernetes, EntraID, Microsoft365, AzureDevOps, GitHubActions, Terraform, Bicep, ARM, PowerShell, AzureCLI, Bash, Python, ADLS, Blob, AzureSQL, KeyVault, VNets, DNS, NSG, RBAC, CI/CD, FinOps, Defender, SOC2 🏢 Description: An AI-powered consumer intelligence platform is hiring a Lead Cloud Platform Engineer (Azure, Databricks & DevSecOps). Our platform processes 50+ billion data points monthly to deliver actionable insights for leading global brands, such as Coca-Cola, Unilever, and Bayer. We run on Azure, Databricks, and GenAI workflows, and we're scaling our platform for faster delivery, stronger security, and tighter cost discipline. The Role We're hiring a hands-on cloud platform leader to own, secure, automate, and optimize our Azure-based SaaS and AI infrastructure end to end. You'll own Azure administration, Entra ID and Microsoft 365, networking, storage, Kubernetes, security, CI/CD, and FinOps, plus the cloud platform layer around Azure Databricks (networking, identity, secure access, compute governance, monitoring, and cost control). This is a hands-on role first, with a clear path to technical or people leadership as the company grows. What You'll Do • Own Azure subscriptions, governance, networking (VNets, private endpoints, DNS, NSGs), storage (ADLS Gen2, Blob), Azure SQL, Key Vault, and monitoring across all environments. • Administer Entra ID and Microsoft 365 - identities, MFA, Conditional Access, least-privilege access, and joiner/mover/leaver processes. • Manage Azure Databricks infrastructure and security: secure connectivity, networking, identity integration, compute policies, audit logging, and cost controls. • Build and improve CI/CD (Azure DevOps, GitHub Actions) and introduce Infrastructure as Code (Terraform, Bicep, or ARM) to replace manual portal changes. • Operate and secure Kubernetes/AKS environments and supporting application infrastructure. • Strengthen security and DevSecOps posture; support SOC 2 evidence, security questionnaires, and enterprise reviews. • Build monitoring, dashboards, runbooks, and incident response across the platform. • Drive Azure and Databricks cost optimization through tagging, budgets, alerts, and compute tuning. What You'll Bring: Required Qualifications • 7+ years in DevOps, Cloud, Platform, Infrastructure, or Systems Engineering, including 4+ years hands-on with Azure in production. • Strong Azure depth: subscriptions, RBAC, policies, networking, storage, monitoring, and security. • Solid experience with Entra ID and Microsoft 365 administration. • Production Kubernetes experience (AKS preferred). • Experience managing or supporting Azure Databricks infrastructure (workspace admin, compute, networking, secure storage access, identity, audit logging). • CI/CD experience with Azure DevOps and/or GitHub Actions, plus scripting (PowerShell, Azure CLI, Bash, or Python). • Strong grasp of cloud security: least privilege, secrets management, encryption, and auditability. • Proven ability to work independently, create structure, and drive improvements with minimal supervision. Nice to Have: Preferred Qualifications Experience in AI, data, analytics, or SaaS environments; Infrastructure as Code (Terraform, Bicep); SOC 2 / ISO 27001 / GDPR; Microsoft Defender for Cloud and DevSecOps tooling; FinOps and Databricks cost optimization; and working with distributed or offshore teams. What This Role Is Not This role is not a pure CI/CD role, a helpdesk-only M365 admin role, a Databricks notebook developer, a data engineering role, or a people-management role. The Opportunity • Long-term B2B contract opportunity • High Impact: We’re backed by world-class investors and work with the most iconic global consumer brands. • You’ll have ownership, with a clear path to technical or people leadership as the company grows..

🏢 Summary: Full-stack engineering role focused on building scalable web applications using Python (FastAPI) and React.js. The position involves designing databases, developing RESTful APIs, and deploying cloud-native solutions on AWS with containerization and CI/CD practices. The role also includes developing Generative AI applications using modern AI tools and APIs. 🗂️ Requirements: Proven experience with Python and FastAPI, Ability to work with React.js on frontend development, Hands-on experience with PostgreSQL, Redis, and PGVector, Experience managing infrastructure on AWS, Proficiency with Docker and Kubernetes, Experience implementing CI/CD pipelines and automated testing, Strong understanding of RESTful API design and backend services, Experience or strong interest in Generative AI development using LangChain or OpenAI APIs 📃 Skills: Python, FastAPI, React, PostgreSQL, Redis, PGVector, AWS, Docker, Kubernetes, SQL, NoSQL, REST, CICD, LangChain, OpenAI 🏢 Description: Key Responsibilities: Backend & Frontend Development: Develop scalable web applications using Python (FastAPI) and work across the stack with React.js. Database Management: Design and optimize SQL, NoSQL, and vector databases, specifically PostgreSQL, Redis, and PGVector. Cloud & Infrastructure: Work within the AWS cloud environment and utilize Docker and Kubernetes for containerization and orchestration. API Development: Collaborate on building robust RESTful APIs and modern backend services. AI & DevOps Practices: Apply CI/CD and automated testing workflows, while building Gen AI applications using tools like LangChain and OpenAI APIs. Requirements: Technical Stack: Proven experience with Python (FastAPI) and the ability to work effectively with React.js. Database & Cloud: Hands-on experience with PostgreSQL, Redis, PGVector, and managing infrastructure on AWS. DevOps Tools: Proficiency with Docker, Kubernetes, and implementing automated testing and CI/CD pipelines. API Architecture: Strong understanding of designing and integrating RESTful APIs and backend services. Gen AI Interest: Experience or a strong interest in developing Generative AI applications using LangChain, OpenAI APIs, or similar