Senior AWS Engineer

🏢 Summary: The role focuses on designing, delivering, and operating a global AWS network backbone across multiple regions, with emphasis on Cloud WAN, centralized egress architectures, and automation-first infrastructure. It involves building secure, scalable, and cost-efficient network solutions using Infrastructure as Code and driving network reliability through testing, monitoring, and continuous improvement. The position also includes hands-on technical leadership and implementation of network automation in complex multi-region environments. 🗂️ Requirements: 5+ years of network engineering experience in enterprise cloud environments, Deep 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 issues, Experience with AI-powered coding assistants in software delivery, Work permit and residence within the European Union, Fluent English 📃 Skills: AWS, CloudWAN, Terraform, NetworkFirewall, VPC, Routing, Networking, Automation, DevOps, IaC, Git, CI/CD, Monitoring, Firewall, AI 🏢 Description: 🟣 You will be: delivering the entire global network backbone infrastructure across multiple AWS regions, building centralised egress architectures using AWS Network Firewall to ensure secure, scalable, and cost-effective traffic management across all regions, building and maintaining AWS Cloud WAN infrastructure to provide seamless connectivity and routing across the global network footprint, developing and maintaining infrastructure as code using Terraform to ensure consistent, repeatable, and version-controlled network deployments, collaborating with security architects, cloud engineers, and other stakeholders to gather requirements and translate them into robust network architectures and technical specifications, driving the implementation of network automation and self-service capabilities to enable parallel development and incremental delivery of network services, leading by example through hands-on technical work while mentoring other network engineers and providing technical guidance and knowledge sharing, ensuring the reliability, performance, and security of network infrastructure through comprehensive testing, monitoring, and continuous improvement, driving the adoption of best practices in network engineering, including infrastructure as code and automation-first approaches, troubleshooting and resolving complex network issues across multi-region environments on time, staying up to date with the latest AWS networking services, industry trends, and technologies to ensure the infrastructure remains competitive and efficient. 🟣 Your profile: 5+ years of experience in network engineering with a strong focus on enterprise cloud networking solutions, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, deep hands-on expertise in AWS Cloud WAN, including configuration, routing policies, and multi-region connectivity, strong proficiency in Terraform and proven experience managing complex network infrastructure deployments, extensive experience designing and implementing centralised egress architectures using AWS Network Firewall, including policy management and traffic inspection, proven track record of delivering large-scale network infrastructure projects in fast-paced environments, excellent problem-solving skills with the ability to think critically and creatively about complex network challenges, strong communication and collaboration skills with the ability to work effectively in cross-functional and team-oriented environments, experience working with agile methodologies and DevOps practices applied to network infrastructure, ability to use a data-driven approach to network optimisation, capacity planning, and decision-making, fluent English communication skills. 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, MultiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: Senior AWS Network Engineer role focused on designing and delivering enterprise-grade cloud network infrastructure in a fully remote B2B model. The position involves building secure, scalable, and automated AWS networking solutions across global environments. The engineer will drive cloud connectivity, automation, and infrastructure reliability using AWS and Terraform. 🗂️ Requirements: 5+ years of experience in network engineering in enterprise cloud environments, Hands-on experience with AWS Cloud WAN configuration and multi-region connectivity, Proficiency in Terraform for infrastructure as code, Experience designing centralized egress architectures with AWS Network Firewall, Experience delivering large-scale network infrastructure projects, Knowledge of network automation and DevOps practices, Ability to troubleshoot multi-region network issues, Fluent English communication skills 📃 Skills: AWS, CloudWAN, Terraform, NetworkFirewall, Networking, DevOps, Agile, Automation 🏢 Description: Rate: up to 200 pln/h on b2b Location: 100% remotely Summary: The role of Senior AWS Network Engineer focuses on designing and delivering enterprise-grade network solutions that support a global infrastructure. This role aims to enhance cloud networking capabilities, ensuring secure, efficient, and scalable connectivity. Main Responsibilities: Key duties include: Deliver the entire global network backbone infrastructure as defined in the project plan. Build centralized egress architectures using AWS Network Firewall for secure traffic management. Build and maintain AWS Cloud WAN infrastructure for seamless connectivity. Develop and maintain infrastructure as code using Terraform for consistent deployments. Collaborate with security architects and cloud engineers to translate requirements into architectures. Implement network automation and self-service capabilities for network services. Mentor network engineers through technical guidance. Ensure reliability, performance, and security of infrastructure through testing and monitoring. Troubleshoot and resolve multi-region network issues. Stay updated with AWS networking services and trends. Key Requirements: 5+ years of experience in network engineering focused on enterprise cloud networking solutions. Hands-on expertise with AWS Cloud WAN including configuration and multi-region connectivity. Proficiency in Terraform for infrastructure as code. Experience in designing centralized egress architectures with AWS Network Firewall. Track record of delivering large-scale network infrastructure projects. Problem-solving skills with creative thinking. Effective communication and teamwork skills. Experience with agile methodologies and DevOps practices. Data-driven approach to network optimization. Fluent English communication skills. Nice to Have: Additional certifications in AWS or networking technologies. Experience in a leadership role. Familiarity with network monitoring and control tools. Previous work in fast-paced environments.

🏢 Summary: The offer is for a DevOps/Cloud Engineer responsible for designing, deploying, and maintaining scalable and secure AWS infrastructure while automating CI/CD pipelines and system configuration. The role focuses on infrastructure automation, performance monitoring, and ensuring reliable software delivery in collaboration with development and QA teams. 🗂️ Requirements: Hands-on experience with AWS services (EC2, S3, RDS, IAM, VPC), Proficiency in Python scripting for automation, Experience with Jenkins for CI/CD pipelines, Experience with Git for version control, Practical experience with Ansible for configuration management, Strong troubleshooting skills in Linux/Unix environments, Understanding of network protocols 📃 Skills: AWS, EC2, S3, RDS, IAM, VPC, Python, Jenkins, Git, Ansible, Linux, Unix, TCP/IP 🏢 Description: Key Responsibilities Infrastructure Management: Design, deploy, and maintain scalable, secure, and highly available cloud infrastructure across a broad range of AWS services. CI/CD Automation: Build, optimize, and maintain automated CI/CD pipelines using Jenkins and Git to ensure smooth and reliable software delivery. Configuration & Automation: Automate system configuration, provisioning, and repetitive tasks using Ansible and Python scripting. Monitoring & Troubleshooting: Monitor system performance, detect bottlenecks, and proactively resolve infrastructure and deployment issues. Collaboration: Partner with development and QA teams to streamline release processes and foster a strong DevOps culture. Requirements AWS Expertise: Broad, hands-on experience working across a wide variety of AWS services (e.g., EC2, S3, RDS, IAM, VPC). Strong Scripting: Proficiency in Python for automation, scripting, and tooling. CI/CD & Version Control: Solid experience with CI/CD tools (specifically Jenkins) and version control systems (Git). Configuration Management: Practical experience with Ansible for infrastructure automation and configuration. Problem-Solving Skills: Strong troubleshooting skills in Linux/Unix environments and a solid understanding of network protocols.

🏢 Summary: The offer is for a Cloud Platform Architect responsible for designing and operating scalable, secure AWS-based cloud platforms. The role focuses on infrastructure as code, security, monitoring, and cost optimization while collaborating with cross-functional teams and advising clients on architecture and data strategies. It combines hands-on engineering with consulting and client-facing responsibilities. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, IT or related field, Very good knowledge of English and Polish, Experience designing and operating scalable cloud platforms on AWS, Strong knowledge of cloud infrastructure, networking, and security, Hands-on experience with Infrastructure as Code tools, Experience with monitoring and cost optimization in AWS, Availability to work in hybrid mode with at least 2 office visits per month 📃 Skills: AWS, Terraform, CloudFormation, CDK, IAM, Networking, Security, Monitoring, Automation, Cloud 🏢 Description: Responsibilities Cloud Platform Architecture : Design and implement scalable, reliable cloud infrastructure on AWS. Infrastructure as Code Development : Build and maintain infrastructure automation using Terraform, CloudFormation, or CDK. Ensure infrastructure is version-controlled, reusable, and follows best practices. Security and Compliance Implementation : Design, implement, and maintain security controls, IAM policies, and network architectures ensuring compliance requirements are met and platforms remain secure. Monitoring and Operational Excellence : Establish observability frameworks, monitoring systems, and alerting mechanisms. Optimize cloud costs and address any issues that may affect platform reliability or performance. Cross-Team Collaboration and Enablement : Work closely with data, application, and DevOps teams to understand requirements and provide platform capabilities. Enable teams through documentation, tooling, and shared services Consulting and Strategy : Provide expert advice and consultancy services to clients on data strategies, architecture choices, and technological advancements Client Interaction : Work closely with clients to understand their business needs and technical requirements. Translate these requirements into effective data engineering solutions. Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Educational Background: Bachelor’s or master’s degree in CS, Engineering, IT, or a related field. Very good knowledge of English and Polish. Experience designing and operating scalable, reliable cloud platforms on AWS. Strong background in cloud infrastructure, networking, and security for shared platform environments. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, CDK) and automation. Experience with monitoring, cost optimization, and operational excellence in AWS. Availability to work in a hybrid mode with at least 2 visits to the office per month. About Data Reply Data Reply, as part of the Reply Group, offers a wide range of services to help customers to become data driven. The team is active in various industries and business areas and works closely with clients to enable them to achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects on the topic of "Data Driven Enterprise". Our experts focus on the development of Streaming and Event-Driven applications, Data Platforms and Machine Learning solutions - automated, efficient and scalable - without compromising IT security.

🏢 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: The offer is for a DevOps/Network Engineer role focused on designing and securing scalable network architectures across cloud and hybrid environments. The position involves automating infrastructure with IaC tools, managing cloud networking components, and integrating security into CI/CD pipelines. The role also includes monitoring, incident response, and supporting compliance and infrastructure hardening efforts. 🗂️ Requirements: Minimum 3 years experience in DevOps, Infrastructure, or Network Engineering, Hands-on experience with cloud networking in AWS, Azure, or GCP, Experience with Infrastructure as Code tools, Knowledge of CI/CD pipelines and DevOps practices, Experience with monitoring, logging, and alerting tools, Understanding of IAM and network security best practices, Ability to manage VPCs, VPNs, load balancers, and firewalls 📃 Skills: AWS, Azure, GCP, Terraform, Ansible, CICD, IAM, VPC, VPN, Firewalls, LoadBalancers, Kubernetes, ISO27001, SOC2, Monitoring, Logging 🏢 Description: Tasks Design and implement secure and scalable network architectures across cloud and hybrid environments Automate infrastructure using IaC tools (Terraform, Ansible) Manage and secure VPCs, VPNs, load balancers, and firewalls Ensure network segmentation and access control best practices Support CI/CD pipelines and integrate basic security mechanisms (e.g., secret handling) Monitor traffic, logs, and performance; respond to incidents Collaborate with security teams on infrastructure hardening Support compliance requirements (e.g., ISO 27001, SOC 2) Requirements At least 3 years of experience in DevOps, Infrastructure, or Network Engineering Hands-on experience with cloud networking (AWS / Azure / GCP) Experience with Infrastructure as Code and automation tools Knowledge of CI/CD pipelines and DevOps practices Ability to work with monitoring, logging, and alerting tools Basic understanding of security best practices (IAM, network security) Very good command of English (B2+/C1), both written and spoken Nice to have Experience with Kubernetes networking Exposure to security tools or vulnerability scanning Cloud or networking certifications (e.g., AWS, CCNA)

🏢 Summary: Backend engineering role focused on designing, building, and operating scalable, event-driven services on Microsoft Azure. The position covers full ownership of backend systems, including architecture, infrastructure as code, container orchestration, CI/CD automation, and data management. It emphasizes microservices, distributed systems, and cloud-native DevOps practices. 🗂️ Requirements: Extensive experience in backend development with C# and .NET, Strong practical knowledge of Microsoft Azure core services, Hands-on experience with AKS and APIM, Experience with distributed messaging systems (Azure Service Bus or Kafka), Proven experience with microservices and distributed systems, Experience with relational and NoSQL databases, Hands-on experience with CI/CD automation tools, Practical experience with Terraform and Infrastructure as Code 📃 Skills: C#, .NET, Azure, AKS, APIM, Kafka, ServiceBus, Terraform, Kubernetes, CI/CD, SQL, CosmosDB, Microservices, AppInsights, LogAnalytics 🏢 Description: Key Responsibilities: End-to-End Product Engineering: Own the entire lifecycle of backend services and APIs—from initial architecture design and coding to comprehensive testing and production deployment. Event-Driven Ecosystems: Architect and maintain highly scalable, asynchronous solutions on Microsoft Azure , utilizing Azure Service Bus or Kafka for robust messaging. Infrastructure as Code (IaC): Orchestrate and manage cloud environments using Terraform , ensuring all infrastructure aligns with enterprise security and performance benchmarks. Container Orchestration: Deploy and fine-tune containerized workloads within Azure Kubernetes Service (AKS) environments. DevOps Ownership: Drive the automation of build, test, and release cycles, taking full accountability for the CI/CD pipelines of your assigned services. Data Persistence & Management: Design efficient data storage strategies (SQL, Cosmos DB, Storage) and expose secure, high-performance interfaces through Azure API Management (APIM) . Strategic Collaboration: Partner with architects and platform teams to monitor system health via App Insights/Log Analytics, ensuring continuous reliability and optimization. Required Skills & Experience: Technical Mastery: Extensive professional experience in backend development using C# and the .NET ecosystem . Cloud Expertise: Deep practical knowledge of Microsoft Azure core services, specifically AKS, APIM, and distributed messaging platforms. Architectural Literacy: Proven ability to work with Microservices and distributed systems, including sophisticated data modeling in both relational and NoSQL databases. DevOps Mindset: Hands-on proficiency with CI/CD automation tools and a strong commitment to Infrastructure as Code (Terraform) . Agile Adaptability: Experience thriving in fast-paced, iterative delivery teams with a focus on solving complex technical challenges. Impactful Communication: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders while adhering to best practices in documentation.

🏢 Summary: The role focuses on designing, developing, and maintaining cloud-based backend systems in an AWS Serverless environment using Infrastructure as Code (Terraform). It involves building and deploying scalable functionalities, managing CI/CD pipelines, and ensuring production reliability across multiple European markets. The position requires strong cloud engineering expertise and backend programming experience. 🗂️ Requirements: 5+ years production experience in AWS and Infrastructure as Code, Strong hands-on experience with Terraform, Proficiency in at least one language: Python, TypeScript, C#, Java, or Golang, Experience building and maintaining CI/CD pipelines, Experience with monitoring tools (Datadog, Grafana, Prometheus), Strong knowledge of software engineering principles, testing, data structures, algorithms, Experience with PostgreSQL or DynamoDB, Experience designing and implementing REST APIs, Understanding of OO design patterns, SOLID, Clean Code, Degree in Computer Science or related field, Experience working in Agile (SCRUM or Kanban), Proficiency in English 📃 Skills: AWS, Terraform, CircleCI, Python, TypeScript, C#, Java, Golang, Datadog, Grafana, Prometheus, PostgreSQL, DynamoDB, REST, Docker, Kubernetes 🏢 Description: About the role You will need to be an expert in AWS and Infrastructure as a Code (IaC) with a thorough understanding of the applications’ architecture involved. Strong infrastructure and backend programming skills will help you to demonstrate your ability to apply these technologies, as well as deploy and maintain them will be crucial to success. Technologies we work with: AWS, Terraform, CircleCI, Python, TypeScript, C#, Java Responsibilities: Designing, writing, testing and deploying functionalities developed via IaC (Terraform) in AWS Serverless environment Implementing the backend code (TypeScript / Python / C# / Java) Maintaining system on production used by consumers from several European countries Debugging issues Scoping and assessing the complexity of features Participating in sprint planning, daily sprints and meetings with product owners for grooming new features Recruiting and mentoring team members Collaborating with other team members and teams that depend on the functionalities that you develop Required qualifications: 5+ years of production experience in cloud engineering (AWS, IaC). Strong hands-on experience in technologies such as Terraform and programming languages, e.g. Python, TypeScript, C#, Java, Golang (one of these). Proficiency in building CICD pipelines Expertise with monitoring tools - Datadog / Grafana / Prometheus Strong understanding of software engineering principles, testing, data structures and algorithms Solid knowledge of DBMS like PostgreSQL, DynamoDB Expertise in REST APIs, Understanding of OO design patterns, SOLID principles and Clean Code Bachelor’s or Master’s degree in Computer Science Able to work with Agile methodologies such as SCRUM and/or Kanban Good communication and collaboration skills Self-motivation, proactive attitude Proficiency in English Nice to have: Exposure to fullstack development Experience with containers and container orchestration using Docker and Kubernetes

🏢 Summary: Executive-level DevSecOps leadership role responsible for defining and executing a global DevSecOps strategy in an AWS-based enterprise environment. The position owns security governance, automation, and compliance across the full SDLC, ensuring scalable and secure cloud operations. It includes leading international teams and driving large-scale DevSecOps transformation aligned with business objectives. 🗂️ Requirements: 10+ years experience in DevSecOps, DevOps, or Security Engineering, Leadership experience at Director, Head, or Lead level, Strong technical expertise in AWS and cloud architectures, Proven experience designing and executing DevSecOps strategies in large international organizations, Experience defining roadmaps, milestones, and KPIs, Deep knowledge of application and infrastructure security, Hands-on experience with CI/CD pipelines and automation, Experience enforcing security and compliance standards across SDLC, Experience managing global DevSecOps teams, Fluent English 📃 Skills: AWS, Azure, DevSecOps, DevOps, Security, Cloud, CICD, SDLC, Automation, Compliance, Governance 🏢 Description: Responsibilities: Full ownership of defining, implementing, and enforcing a global DevSecOps strategy within an AWS-based organization. Building and maintaining a long-term DevSecOps transformation roadmap, including key milestones, KPIs, and execution control mechanisms. Oversight of security standard implementation across the entire Software Development Life Cycle (SDLC), with emphasis on automation and scalability. Establishing and enforcing governance in security, compliance, and DevOps practices across the entire organization. Close collaboration with C-level executives, architecture teams, and engineering teams to ensure full technical and business alignment. Monitoring process effectiveness, identifying risks, and implementing corrective actions at a global scale. Managing distributed, international DevSecOps teams, including leadership development and building high-performance structures. Accountability for audits, regulatory compliance, and continuous improvement of production environment security. Requirements: Extensive experience (10+ years ) in DevSecOps, DevOps, or Security Engineering, including leadership-level roles (Director, Head, Lead). Strong technical background in AWS and modern cloud architectures. Proven track record of designing and executing DevSecOps strategies in large, complex, international organizations. Experience in defining roadmaps, milestones, KPIs, and managing organizational-level delivery. Deep understanding of application security, infrastructure security, CI/CD , automation, and compliance domains. Experience working in global environments and collaborating with executive-level stakeholders. Strong risk management skills, strategic decision-making ability, and enforcement of standards. Fluent English in a multinational working environment. Experience with Azure considered a strong advantage.

🏢 Summary: Full-stack C#/.NET engineer role focused on building, testing, deploying and maintaining backend microservices and frontend applications using React or Angular. The position involves working with AWS and Terraform, maintaining production systems, and collaborating in Agile teams to deliver new features. Strong emphasis on software engineering principles and modern cloud-based architectures. 🗂️ Requirements: 3+ years commercial experience in C# development, .NET Core and .NET Framework experience, Frontend development with React or Angular and TypeScript, Experience with REST APIs, Knowledge of MS SQL, PostgreSQL or DynamoDB, Understanding of OOP, SOLID and Clean Code principles, Experience with microservices architecture, AWS and Terraform experience, Knowledge of testing, data structures and algorithms, Computer Science degree, Experience with Agile (SCRUM or Kanban), AI tooling usage 📃 Skills: C#, .NET, .NETCore, .NETFramework, TypeScript, JavaScript, Node.js, React, Angular, REST, AWS, Terraform, MSSQL, PostgreSQL, DynamoDB, Microservices, Docker, Kubernetes, Jenkins, CircleCI, GitlabCI, Datadog, CICD 🏢 Description: About the role You will need to be proficient in backend and frontend development with a thorough understanding of the technologies involved. Strong backend and frontend skills where you can demonstrate your ability to apply these technologies, as well as deploy and maintain them will be crucial to success. Technologies we work with: C#, .NET Core, .NET Framework, Typescript, JavaScript, Node.js, React, REST APIs, React, Angular, AWS, Terraform Responsibilities: Designing, writing, testing functionalities for a backend system written in C# and a frontend system written in React or Angular & TypeScript Deploying and maintaining microservices in AWS using Terraform Maintaining system on production used by consumers from several European countries Debugging issues Participating in sprint planning, daily sprints and meetings with product owners for grooming new features Collaborating with other team members and teams who depend on functionalities that you develop Required Qualifications: 3+ years of production software development experience in C# engineer role Strong understanding of software engineering principles, testing, data structures and algorithms Hands-on experience in .NET Core and .NET Framework technologies Good knowledge of DBMS like MS SQL / PostgreSQL / DynamoDB Know-how of REST APIs Understanding of OO design patterns, SOLID principles and Clean Code Computer Science degree AI Tooling usage Able to work with Agile methodologies such as SCRUM and/or Kanban Good communication and collaboration skills Self-motivation, proactive attitude Proficiency in English Nice to have: Some experience or interest in developing Cloud and Infrastructure solutions with AWS and CI/CD processes supported by tools like Docker, Kubernetes, Jenkins, Terraform, CircleCI, GitlabCI, Datadog, etc.