Python - GCP Devops Engineer

🏢 Summary: The role involves designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines, with a strong focus on Google Cloud Platform and Azure. The DevOps Engineer will automate deployments, manage infrastructure as code, and ensure reliability, security, and performance of cloud environments. The position requires close collaboration with development teams to improve deployment processes and platform stability. 🗂️ Requirements: Proven experience as DevOps Engineer or similar cloud role, Expert-level experience with Google Cloud Platform, Hands-on experience with Microsoft Azure, Experience with CI/CD tools (Azure DevOps, GitHub, GitHub Actions), Experience with Infrastructure as Code using Terraform, Scripting and automation skills using Python, Knowledge of cloud architecture and deployment best practices, Strong troubleshooting skills, English proficiency 📃 Skills: GCP, Azure, Terraform, Python, AzureDevOps, GitHub, GitHubActions, CI/CD, IaC 🏢 Description: About the Role We are looking for a skilled DevOps Engineer to join our technology team and help design, implement, and maintain scalable cloud infrastructure and modern CI/CD pipelines. In this role, you will work closely with development and platform teams to automate processes, improve deployment efficiency, and ensure the reliability and security of cloud-based systems. The ideal candidate has strong experience with cloud platforms, infrastructure as code, and modern DevOps practices, with particular expertise in Google Cloud Platform and CI/CD tooling. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Azure DevOps , GitHub , and GitHub Actions . Build and manage scalable cloud infrastructure on Google Cloud Platform and Microsoft Azure . Develop and maintain infrastructure using Infrastructure as Code practices with Terraform . Automate operational and deployment processes using Python . Monitor and optimize cloud environments for performance, reliability, and cost efficiency. Collaborate with development teams to improve application deployment processes and platform reliability. Implement best practices in security, access control, and cloud governance. Troubleshoot infrastructure and deployment issues across environments. Required Skills & Experience Proven experience as a DevOps Engineer or in a similar cloud/infrastructure role. Strong hands-on experience with Google Cloud Platform at a principal or expert level . Solid experience with Microsoft Azure . Hands-on experience with CI/CD tools such as Azure DevOps , GitHub , and GitHub Actions . Strong knowledge of Infrastructure as Code tools, particularly Terraform . Good scripting and automation skills using Python . Experience with cloud architecture, automation, and deployment best practices. Strong troubleshooting and problem-solving skills. Ability to work collaboratively in cross-functional teams. Good communication skills and proficiency in English.

🏢 Summary: B2B opportunity for a GCP DevOps Engineer to design, implement, and maintain scalable and secure cloud infrastructure and CI/CD pipelines on Google Cloud Platform. The role focuses on infrastructure automation, containerization, and continuous delivery in modern cloud environments. You will support application deployments and ensure high availability, performance, and security of global systems. 🗂️ Requirements: Strong experience with Google Cloud Platform services, Hands-on experience with infrastructure as code tools, Experience building and maintaining CI/CD pipelines, Knowledge of containerization and orchestration, Strong scripting skills, Experience with monitoring and logging tools, Understanding of cloud security and compliance practices, Bachelor’s degree in Computer Science, Engineering or related field or equivalent experience 📃 Skills: GCP, ComputeEngine, CloudStorage, CloudFunctions, GKE, VPC, IAM, Stackdriver, Terraform, DeploymentManager, Ansible, Jenkins, GitLabCI, CircleCI, Docker, Kubernetes, Python, Bash, CI/CD, Monitoring, Logging 🏢 Description: Role Overview We are seeking a skilled GCP DevOps Engineer to join our team in Krakow, Poland . The successful candidate will be responsible for designing, implementing, and maintaining cloud-based infrastructure on Google Cloud Platform (GCP) and CI/CD pipelines, ensuring the reliability, scalability, and security of our systems. This is an excellent opportunity to work on modern cloud environments and collaborate with global teams. Key Responsibilities Design, implement, and manage GCP cloud infrastructure , ensuring high availability and scalability. Build, maintain, and optimize CI/CD pipelines for multiple applications. Automate infrastructure provisioning and deployment using tools like Terraform, Deployment Manager, or Ansible . Monitor and maintain system performance, availability, and security in cloud environments. Collaborate with development and product teams to support application deployments, performance tuning, and troubleshooting. Implement best practices for security, compliance, and disaster recovery. Participate in incident management, root cause analysis, and post-incident reviews. Continuously improve DevOps processes, tools, and practices to drive efficiency and reliability. Skills & Experience Strong experience with Google Cloud Platform (Compute Engine, Cloud Storage, Cloud Functions, GKE, VPC, IAM, Stackdriver, etc.) Experience with infrastructure as code (Terraform, Deployment Manager, Ansible). Expertise in CI/CD pipelines and automation tools (Jenkins, GitLab CI, CircleCI, or similar). Knowledge of containerization and orchestration ( Docker, Kubernetes / GKE ). Strong scripting skills (Python, Bash, or similar). Familiarity with monitoring, logging, and alerting tools. Understanding of security best practices and compliance requirements. Excellent problem-solving skills and ability to work in a collaborative, agile environment. Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). GCP certifications (Professional Cloud Architect, Professional DevOps Engineer, or similar) are a plus. Why Join Us You will work in a fast-paced, innovative environment with opportunities to grow your career in cloud engineering and DevOps. Join a team where your contributions make a direct impact on the success of global applications and services. Location: Krakow, Poland Employment Type: B2B

🏢 Summary: Senior Python Developer role focused on building and maintaining backend applications and data pipelines in a cloud environment. The position involves processing large datasets, implementing CI/CD workflows, and developing Python-based solutions on GCP. 🗂️ Requirements: Strong experience with Python, Experience with SQL for data processing and querying, Experience with GitHub, Experience with GitHub Actions, Experience with Google Cloud Platform (GCP), Knowledge of data pipelines, Basic knowledge of omics 📃 Skills: Python, SQL, GitHub, GitHubActions, GCP, CI/CD, Omics 🏢 Description: We are looking for a Senior Python Developer responsible for developing and maintaining backend applications and data pipelines in a cloud environment. The role involves working with large datasets and collaborating with technical teams to build and maintain Python-based solutions. Responsibilities developing and maintaining applications and data pipelines using Python working with SQL for data processing and querying implementing and maintaining CI/CD processes using GitHub and GitHub Actions working in a Google Cloud Platform (GCP) environment collaborating with technical teams on data-related solutions Requirements strong experience with Python experience working with SQL familiarity with GitHub and GitHub Actions experience with Google Cloud Platform (GCP) basic knowledge of omics and data pipeline concepts

🏢 Summary: The offer is for an experienced DevOps Engineer to design, implement and maintain cloud infrastructure on Google Cloud Platform for banking and financial projects. The role focuses on cloud-native environments, CI/CD automation, Infrastructure as Code and ensuring security, scalability and reliability of cloud solutions. 🗂️ Requirements: 3–4+ years of experience as DevOps Engineer or similar role, Very good knowledge of Google Cloud Platform (GCP), Experience in designing and maintaining cloud environments, Knowledge of CI/CD processes, Experience in deployment automation, Knowledge of Linux systems, Ability to write automation scripts in Bash, Python or PowerShell, Knowledge of cloud infrastructure security, Ability to diagnose and solve technical issues, English at B2–C1 level 📃 Skills: GCP, Linux, CI/CD, Bash, Python, PowerShell, Kubernetes, GKE, Terraform, Docker, CloudBuild, GitHubActions, GitLabCI, Jenkins, Grafana, Prometheus, Kafka, RabbitMQ 🏢 Description: O projekcie Poszukujemy doświadczonego DevOps Engineera do realizacji projektów dla sektora bankowego i finansowego. Osoba na tym stanowisku będzie odpowiedzialna za rozwój i utrzymanie nowoczesnych środowisk chmurowych opartych o Google Cloud Platform (GCP), automatyzację procesów wdrożeniowych oraz wspieranie zespołów developerskich w dostarczaniu skalowalnych i bezpiecznych rozwiązań. Jeżeli interesują Cię technologie Cloud Native, automatyzacja oraz budowa nowoczesnych platform w chmurze – zapraszamy do aplikowania. Twój zakres obowiązków Projektowanie, wdrażanie i utrzymanie infrastruktury w środowisku Google Cloud Platform (GCP) Automatyzacja procesów wdrożeniowych i operacyjnych Rozwój oraz utrzymanie procesów CI/CD Implementacja rozwiązań Infrastructure as Code (IaC) Współpraca z zespołami developerskimi, architektonicznymi oraz bezpieczeństwa Monitorowanie dostępności, wydajności i bezpieczeństwa środowisk Optymalizacja kosztów infrastruktury chmurowej Rozwiązywanie problemów związanych z infrastrukturą oraz wdrożeniami Tworzenie i aktualizacja dokumentacji technicznej Nasze wymagania Minimum 3–4 lata doświadczenia na stanowisku DevOps Engineer lub pokrewnym Bardzo dobra znajomość Google Cloud Platform (GCP) Doświadczenie w projektowaniu i utrzymaniu środowisk chmurowych Znajomość procesów Continuous Integration oraz Continuous Delivery (CI/CD) Doświadczenie w automatyzacji procesów wdrożeniowych Znajomość systemów Linux Umiejętność pracy ze skryptami automatyzującymi (Bash, Python lub PowerShell) Znajomość zagadnień związanych z bezpieczeństwem infrastruktury chmurowej Umiejętność diagnozowania i rozwiązywania problemów technicznych Znajomość języka angielskiego na poziomie B2–C1 Mile widziane Doświadczenie z Kubernetes (GKE) Znajomość Terraform Doświadczenie z Docker Znajomość Cloud Build, GitHub Actions, GitLab CI lub Jenkins Doświadczenie z monitoringiem i observability (Cloud Monitoring, Grafana, Prometheus) Znajomość architektury mikroserwisowej Doświadczenie z Apache Kafka lub RabbitMQ Certyfikacje Google Cloud (Associate Cloud Engineer, Professional Cloud DevOps Engineer lub pokrewne) Doświadczenie w sektorze bankowym lub finansowym Oferujemy Udział w projektach dla liderów sektora bankowego i finansowego Możliwość pracy zdalnej lub hybrydowej Elastyczne godziny pracy Stabilną współpracę przy długoterminowych projektach Możliwość rozwoju kompetencji w obszarze Cloud i DevOps Dostęp do nowoczesnych technologii oraz środowisk chmurowych Współpracę z doświadczonymi specjalistami IT Realny wpływ na rozwój infrastruktury i procesów technologicznych Atrakcyjne wynagrodzenie adekwatne do doświadczenia i kompetencji Jeżeli chcesz rozwijać nowoczesne środowiska chmurowe w Google Cloud Platform, automatyzować procesy oraz uczestniczyć w budowie skalowalnych rozwiązań dla sektora finansowego – zapraszamy do aplikowania.

🏢 Summary: Offer for an experienced DevOps Engineer responsible for designing, implementing, and maintaining IT infrastructure while improving CI/CD processes in collaboration with development teams. The role focuses on container orchestration, automation, and cloud-based environments. It requires hands-on experience with modern DevOps tools and platforms. 🗂️ Requirements: Minimum 3 years of experience as DevOps Engineer, Experience with Kubernetes and container orchestration, Experience implementing and managing CI/CD pipelines, Experience with CI/CD tools: Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD, Bitbucket Pipelines, Proficiency in GNU/Linux systems, Experience with at least one cloud platform: AWS, Azure or GCP 📃 Skills: Kubernetes, Jenkins, GitHubActions, AzureDevOps, GitLabCI, BitbucketPipelines, Linux, AWS, Azure, GCP, CICD, Docker, Podman, Ansible, Terraform, Prometheus, Grafana, ELK 🏢 Description: Opis projektu: W związku z rozwojem zespołu DevOps poszukujemy doświadczonego DevOps Engineera, który będzie odpowiedzialny za projektowanie, wdrażanie oraz utrzymanie infrastruktury IT. Rola obejmuje również współpracę z zespołami developerskimi w zakresie usprawniania procesów CI/CD. Wymagania: minimum 3 lata doświadczenia na stanowisku DevOps Engineer; znajomość Kubernetes oraz doświadczenie w zarządzaniu kontenerami i orkiestracją; doświadczenie w implementacji i zarządzaniu procesami CI/CD , w tym narzędziami takimi jak: Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD, Bitbucket Pipelines; umiejętność pracy z systemami GNU/Linux; praktyczna znajomość co najmniej jednej chmury: AWS, Azure lub GCP; bardzo dobra znajomość języka angielskiego. Mile widziane: znajomość narzędzi do automatyzacji i zarządzania: Docker, Podman, Ansible, Terraform; znajomość dodatkowych technologii związanych z konteneryzacją i orkiestracją; doświadczenie w pracy z bazami danych oraz zarządzaniu infrastrukturą chmurową; znajomość narzędzi monitorujących: Prometheus, Grafana, ELK Stack ​;

🏢 Summary: DevOps Engineer role focused on supporting and scaling modern data platforms by combining DevOps practices with data engineering expertise. The position involves building and maintaining CI/CD pipelines, managing cloud-based data infrastructure, and ensuring reliable, automated data workflows. You will collaborate with data teams to optimize performance, scalability, and security of data solutions. 🗂️ Requirements: 4–5 years experience in DevOps or similar role, Hands-on experience with Databricks, Strong experience with AWS, Experience building and maintaining CI/CD pipelines with Jenkins, Background in data engineering or data platforms, Basic to intermediate Python knowledge, Understanding of ETL/ELT processes, Knowledge of distributed data systems 📃 Skills: Jenkins, Databricks, AWS, Python, CICD, ETL, ELT, DevOps, DataEngineering, Cloud, DistributedSystems 🏢 Description: About the Role We are looking for a DevOps Engineer with a strong data background to support and scale modern data platforms. In this role, you will work at the intersection of DevOps and Data Engineering , ensuring reliable, automated, and efficient data pipelines and environments. You will be responsible for maintaining and improving CI/CD processes, supporting cloud-based data platforms, and collaborating with data engineers and analytics teams to enable smooth data operations. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins . Manage and optimize data platforms based on Databricks . Build and maintain cloud infrastructure on Amazon Web Services . Support deployment, monitoring, and troubleshooting of data pipelines and workflows. Collaborate closely with data engineers to improve reliability and performance of data solutions. Automate infrastructure and operational processes. Ensure best practices in security, scalability, and performance across the platform. Required Skills & Experience 4–5 years of experience in a DevOps Engineer or similar role. Hands-on experience with Databricks . Strong experience with Amazon Web Services . Experience building and maintaining CI/CD pipelines using Jenkins . Background in data engineering or experience working with data platforms. Basic to intermediate knowledge of Python . Understanding of data pipelines, ETL/ELT processes, and distributed data systems. Strong problem-solving skills and ability to troubleshoot complex issues. Good communication skills and ability to work in cross-functional teams.

🏢 Summary: The role involves designing and maintaining scalable infrastructure while automating CI/CD processes to support operational workflows. The DevOps Engineer will build deployment pipelines, integrate systems, and ensure system performance and reliability in an Agile environment. The position focuses on infrastructure automation and collaboration with development and operations teams. 🗂️ Requirements: Several years of experience as DevOps Engineer, Strong knowledge of CI/CD tools, Experience with Kubernetes, Experience with Docker, Knowledge of monitoring and observability tools, Ability to work with SQL, Experience with automation scripting, Experience working in Agile environment 📃 Skills: CI/CD, Kubernetes, Docker, SQL, Monitoring, Observability, Scripting, Agile 🏢 Description: Poszukujemy osoby na stanowisko DevOps Engineer do zespołu odpowiedzialnego za rozwój i wdrażanie zautomatyzowanych procesów wspierających obsługę wniosków i procesów operacyjnych. Rola obejmuje budowę oraz utrzymanie nowoczesnej infrastruktury, automatyzację procesów CI/CD oraz współpracę z zespołami developerskimi i biznesowymi w środowisku Agile. Zakres obowiązków: Projektowanie i wdrażanie skalowalnej infrastruktury Budowa i utrzymanie pipeline’ów CI/CD Automatyzacja procesów wdrożeniowych i operacyjnych Monitorowanie wydajności systemów oraz wdrażanie usprawnień Integracja systemów i optymalizacja workflow Współpraca z zespołami developerskimi, operations oraz biznesem Udział w projektowaniu rozwiązań technicznych i procesowych Wymagania: Kilkuletnie doświadczenie na stanowisku DevOps Engineer Bardzo dobra znajomość narzędzi CI/CD oraz technologii kontenerowych Doświadczenie w pracy z Kubernetes oraz Docker Znajomość monitoringu i observability Umiejętność pracy z SQL oraz skryptami automatyzującymi Doświadczenie w środowisku Agile Komunikatywność i umiejętność pracy zespołowej Mile widziane doświadczenie w sektorze finansowym lub procesach workflow

🏢 Summary: Remote Python Developer role focused on building and managing containerized applications in scalable environments. The position involves developing Python services, deploying them with Docker, and orchestrating workloads on Kubernetes while integrating with CI/CD pipelines. The role emphasizes clean code, performance optimization, and reliable production deployments. 🗂️ Requirements: Strong proficiency in Python, Experience building applications with Flask, Django, or FastAPI, Hands-on experience with Docker and Dockerfiles, Experience deploying and managing applications on Kubernetes, Understanding of REST APIs, Knowledge of microservices architecture, Experience with Git version control, Experience with CI/CD pipelines, Ability to troubleshoot application and container issues 📃 Skills: Python, Flask, Django, FastAPI, Docker, Kubernetes, Helm, REST, Microservices, Git, CICD, AzureDevOps, GitHubActions, Jenkins, DistributedSystems 🏢 Description: Location : Poland, remote job We are seeking a skilled Python Developer with strong experience in building, deploying, and managing applications in containerized environments. The ideal candidate should be proficient in Python programming and have hands-on experience with Docker, Kubernetes, and modern CI/CD practices. Key Responsibilities Develop, maintain, and optimize Python-based applications and services. Design and implement scalable, containerized solutions using Docker. Deploy, monitor, and manage applications on Kubernetes or similar orchestration platforms. Collaborate with DevOps teams to integrate applications into CI/CD pipelines. Write clean, maintainable code and follow best practices for testing and code quality. Troubleshoot and resolve production issues related to application performance or container environments. Work with cross-functional teams to ensure smooth deployment and operation of applications. Document technical designs, workflows, and processes. Required Skills Strong proficiency in Python (frameworks such as Flask, Django, FastAPI are a plus). Solid experience with Docker: image creation, container management, Dockerfiles. Hands-on experience with Kubernetes (pods, deployments, services, helm charts preferred). Good understanding of REST APIs, microservices, and distributed systems. Experience with Git and version control workflows. Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.). Strong debugging and problem-solving skills. Good-to-Have Skills Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of infrastructure-as-code tools (Terraform, Ansible). Understanding of security best practices for containerized applications. Exposure to monitoring/logging tools (Prometheus, Grafana, ELK stack)

🏢 Summary: Hands-on DevOps Engineer role focused on building and operating automation, deployment, and reliability standards for large-scale GPU infrastructure supporting AI training and inference. The position involves Infrastructure as Code, CI/CD, observability, security, and low-level automation across bare-metal servers, networking, storage, and Kubernetes-based platforms. The role emphasizes reliability, scalability, and automation in complex, high-performance environments. 🗂️ Requirements: 4–7 years in DevOps, SRE, or Platform Engineering, Experience with infrastructure automation in production environments, Hands-on experience with Terraform or Ansible, Experience building and maintaining CI/CD pipelines, Knowledge of GitOps practices, Understanding of infrastructure security and vulnerability management, Experience with security tools (e.g., Snyk, CrowdStrike), Practical experience with Kubernetes, Experience with GPU technologies (e.g., NVIDIA GPU Operator, MIG), Scripting or programming skills in Python, Go, or Bash, Experience with bare-metal provisioning or low-level infrastructure automation, Knowledge of observability tools (Prometheus, Grafana, Loki, OpenTelemetry) 📃 Skills: Terraform, Ansible, Kubernetes, Python, Go, Bash, Prometheus, Grafana, Loki, OpenTelemetry, Snyk, CrowdStrike, NVIDIA, MIG, CI/CD, GitOps 🏢 Description: About the role We are looking for a DevOps Engineer to help build and operate automation, deployment, and reliability standards for large-scale GPU infrastructure used for AI training and inference workloads. In this role, you will work on software-defined infrastructure supporting GPU clusters, high-performance networking, storage platforms, and internal AI services. This is a hands-on position for someone who is comfortable working close to infrastructure, improving operational processes, and building reliable automation in a complex technical environment. Responsibilities Design, implement, and maintain Infrastructure as Code solutions for provisioning and managing bare-metal GPU servers, networking, storage, and cluster orchestration components Build and improve CI/CD pipelines for infrastructure, platform services, and internal tooling Develop and maintain monitoring, logging, alerting, and observability solutions for large-scale GPU environments Support reliability initiatives by defining and tracking SLIs/SLOs , automating incident response, and contributing to post-incident analysis Automate operational tasks such as cluster scaling, firmware and BIOS updates, hardware validation, diagnostics, and capacity planning Work closely with Infrastructure, Networking, Facilities, and AI/ML teams to ensure stable and scalable platform operations Support DevSecOps practices, including infrastructure hardening, vulnerability management, and compliance automation Identify repetitive manual work and replace it with efficient automation Evaluate new tools and solutions related to GPU infrastructure, orchestration, and cloud-native operations Requirements 4–7 years of experience in DevOps, SRE, Platform Engineering , or a similar role Strong practical experience with infrastructure automation in complex production environments Good hands-on knowledge of Terraform, Ansible , or similar Infrastructure as Code tools Experience building and maintaining CI/CD pipelines and working with GitOps practices Good understanding of infrastructure security, vulnerability management, and security best practices Experience with security tools such as Snyk, CrowdStrike , or similar solutions Practical experience with Kubernetes Experience working with GPU-related technologies such as NVIDIA GPU Operator, device plugins, MIG, or time-slicing Good scripting or programming skills in Python, Go, or Bash Experience with bare-metal provisioning, low-level infrastructure automation, or data center operations Good knowledge of observability tools such as Prometheus, Grafana, Loki, and OpenTelemetry Ability to work independently, prioritize tasks, and communicate effectively with technical teams English proficiency at least at a communicative level is required, as you will be working in an international team Nice to have Experience in AI infrastructure, HPC environments, hyperscale infrastructure, or data center operations Familiarity with orchestration and scheduling tools such as Slurm, Ray, Run:ai, KServe , or Kubernetes-based schedulers Experience integrating telemetry from power, cooling, or environmental systems Experience building internal platforms or self-service tools for engineering teams Understanding of compliance and audit requirements in security-sensitive environments What we offer Benefits package Opportunity to work on advanced infrastructure supporting large-scale AI workloads Real impact on the reliability and scalability of next-generation compute environments Collaboration with experienced engineers across infrastructure, platform, and AI domains A fast-moving environment with space for ownership, technical input, and professional growth

🏢 Summary: The offer is for a Senior Python Developer to design and build scalable, cloud-native microservices using Python and Google Cloud Platform. The role focuses on developing, deploying, and maintaining containerized applications, optimizing performance, and contributing to architecture decisions in a global product environment. It includes responsibility for CI/CD pipelines, system reliability, and production monitoring. 🗂️ Requirements: Proven commercial experience with Python in microservices development, Strong knowledge of Docker and Kubernetes, Hands-on experience with Google Cloud Platform (Cloud Run or Cloud Functions), Experience building and integrating RESTful APIs, Knowledge of SQL and NoSQL databases, Experience with Git and collaborative workflows, Experience with CI/CD tools and practices, Ability to monitor and troubleshoot production systems 📃 Skills: Python, GCP, CloudRun, CloudFunctions, Docker, Kubernetes, REST, SQL, NoSQL, Git, CI/CD, Flask, FastAPI, Django, Terraform, Jenkins, Prometheus, Grafana, Stackdriver 🏢 Description: 🚀 Senior Python Developer Join us to build scalable, cloud-native backend systems powered by Python and Google Cloud Platform (GCP) . We are looking for a Senior Engineer who thrives in a microservices environment and wants to have real impact on global product rollouts and architecture decisions. 🧩 Your Responsibilities Design, develop, and maintain scalable and secure Python-based microservices Deploy and manage containerized applications using GCP Cloud Run Collaborate with product and engineering teams to design and deliver new features Optimize applications for performance, scalability, and reliability Build and maintain CI/CD pipelines for automated testing and deployment Monitor and troubleshoot production systems to ensure high availability Write clean, maintainable code following best engineering practices Continuously improve systems by adopting modern technologies and approaches ✅ Requirements Proven commercial experience with Python, especially in microservices development Strong understanding of Docker and Kubernetes Hands-on experience with Google Cloud Platform (Cloud Run, Cloud Functions, or similar services) Experience building and integrating RESTful APIs Knowledge of SQL and NoSQL databases and data modeling concepts Experience with Git and collaborative development workflows Experience with CI/CD tools and practices Strong problem-solving skills and ability to work independently and in a team Good communication skills in English ⭐ Nice to Have Experience with Python frameworks such as Flask, FastAPI, or Django Understanding of DevOps practices and infrastructure automation (Terraform, Jenkins) Experience with monitoring and observability tools (Prometheus, Grafana, Stackdriver) Experience working in cloud-native environments