Senior AWS Cloud Data Engineer

🏢 Summary: Senior Full-Stack Software Engineer role focused on building large-scale, cloud-based data processing solutions on AWS with a strong emphasis on serverless architectures. The position involves developing and maintaining web applications, APIs, and microservices while optimizing and modernizing existing cloud infrastructure. The engineer will collaborate across international teams to deliver scalable scientific and data-driven solutions. 🗂️ Requirements: Minimum 5 years of enterprise software development experience, Expert knowledge of Java with Spring and Hibernate or JPA, Strong understanding of microservices architecture and patterns, Expert knowledge of JavaScript and TypeScript, Experience with Angular or React and HTML5, Experience building REST APIs, Knowledge of SQL, NoSQL and graph databases, Strong AWS knowledge including core services, Hands-on experience with Docker, Experience with Git and GitOps workflows, Ability to deploy code to production environments, Experience working with Scrum methodology, Fluent English 📃 Skills: Java, Spring, Hibernate, JPA, JavaScript, TypeScript, Angular, React, HTML5, Git, GitOps, REST, SQL, NoSQL, AWS, S3, IAM, EC2, ECR, ECS, Lambda, Serverless, Docker, RabbitMQ, OAuth2, Scrum, Oracle, MySQL, MongoDB, Spock, CI 🏢 Description: We are a provider of digital transformation and technology consulting services with a portfolio of solutions for both clients who do not yet have Salesforce and large organizations that work on Salesforce and use its extensive capabilities ☁. We also provide body and team leasing services in IT, providing specialists in various fields. Model : remote Employment type: full-time Background & Project: A team specializing in Data Engineering and bioinformatics systems development is seeking experienced and motivated Senior Full-Stack Software Engineer with hands-on AWS experience . This role involves developing large-scale cloud-based data processing solutions, primarily using AWS. We are looking for self-motivated and proactive engineer to contribute to the development of highly scalable computing solutions built on AWS services, with a strong focus on serverless architectures. The position involves leveraging AWS services and improving existing infrastructure to optimize, modernize, and future-proof current solutions. The engineering team operates across multiple time zones, including Pacific Time (PT), Eastern Time (ET), and Central European Time (CET). Virtual meetings and collaboration via Slack may take place during the core working hours of the San Francisco (PT) time zone. During the first six months of onboarding, increased collaboration and some overlap with the PT time zone will be expected. Responsibilities: Work together in a collaborative and practical manner to address scientific softwareengineering challenges. Engage with both local and offshore engineering teams to assist in software development endeavors Leverage existing GenAI and RAG solutions and services developed by other teams tointegrate data and existing capabilities into internal chatbots to enhance usability anddata discovery Rapid prototyping and iterations to foster innovation and enable the company to exploresolutions in a shorter time-frame. Design, build and maintain the web application providing visibility to our data management platform Collaboratively and pragmatically solve scientific software engineering challenges. Collaborate with local – Polish, the US and Canada engineering teams to support software development efforts. Contribute to the broader scientific community through open-source software development. Requirements: Minimum 5 years of work experience related to software development in enterprise projects/products and expert knowledge regarding one of the following backend technologies: JAVA (very good knowledge of frameworks like Spring, Hibernate / JPA, knowledge of other JVM based programming languages is a plus); Understanding of microservice architectures, principles and patterns Expert knowledge of Javascript and TypeScript programming ( Angular 5+ or React,with good knowledge of HTML5. Experience building reusable web components. Knowledge of git and standard GitOps workflow (MRs, protected branch), conventional commits, semantic versioning, pre-commit hooks, Experience building APIs, good understanding of REST principles Knowledge of database techniques like SQL, NoSQL and graph databases Fluent in the usage of cloud computing models (IaaS, PaaS, SaaS) and good knowledge of containers connected with this DevOps mindset and excellent knowledge of cloudplatforms like AWS. Ability to deploy yourself code to production Docker (must have) AWS cloud (including S3, IAM, EC2, ECR, ECS, AWS Lambda, Serverless) Experienced in product development with Scrum methodologies Experienced in designing software components based on limited and evolving requirements Attention to details, focus on user/developer experience Ability to coordinate work and direct collaboration with the customer Fluent in English General knowledge RabbitMQ (or other similar message broker) Good communication skills, team player, work under tight deadlines. Nice to have: Good understanding of HTTP protocol (status code, headers, etc…) Basic knowledge of OAuth 2.0 Building distributed systems Automated testing – unit, int, e2e, performance, regression Spock (Groove DSL) CI pipelines Oracle/MySQL/Mongo We offer: Remote work model B2B contract Benefits package, Daily support from team leaders, Dedicated certification budget, Integration trips/events.

🏢 Summary: Senior Backend Engineer role focused on designing, building, and operating high-scale distributed systems for real-time location intelligence data processing on the JVM. The position involves end-to-end ownership of cloud-native backend services on AWS, ensuring scalability, reliability, and performance in production environments. You will drive architectural decisions and deliver data-intensive integrations within a cross-functional team. 🗂️ Requirements: 4–5+ years of backend development experience in production environments, Strong expertise in Java or other JVM languages (Kotlin or Scala), Experience with Spring or Spring Boot, Proven experience designing and operating distributed systems, Hands-on experience with AWS and cloud-native architectures, Strong understanding of concurrency and data consistency, Experience with PostgreSQL or other relational databases, Experience debugging and optimizing production systems, Experience building high-throughput or data-intensive systems 📃 Skills: Java, Kotlin, Scala, Spring, SpringBoot, AWS, S3, SQS, SNS, Lambda, PostgreSQL, SQL, Concurrency, JVM, Terraform, MongoDB, Kubernetes, Athena, Glue, Batch, StepFunctions 🏢 Description: At Adsquare, our mission is driven by two core pillars: Passion – Solving complex challenges with great people, technology, and data Niche – Location Intelligence for Programmatic Advertising Our core values are at the heart of everything we do: Drive: We turn ambition into action Resilience: We adapt, persevere, and grow stronger No BS: We value honesty, transparency, and clear communication Humble: We choose modesty over vanity and let results speak for themselves Moral Compass: We do the right thing with fairness, integrity, and respect We are looking for candidates who not only bring strong technical expertise but also embody these values in their everyday work. Your Mission As a Senior Backend Engineer at Adsquare, you will take ownership of designing and operating high-scale distributed systems that power our core data products. Your primary mission is to build reliable, high-throughput backend services on the JVM that process and serve large volumes of location intelligence data in real time. You will work in a highly autonomous, cross-functional team and are expected to proactively identify problems, propose solutions, and drive them into production. In this role, you will: Design and evolve distributed backend systems with a strong focus on scalability, performance, and reliability Own services end-to-end: from architecture decisions to production operations Build and operate cloud-native systems on AWS Collaborate closely with Product and Data teams to deliver impactful features Continuously improve system design, engineering practices, and team effectiveness Your Profile We are looking for a senior-level engineer with strong backend and cloud experience, comfortable owning complex production systems. Must have 4–5+ years of experience building backend systems in production environments Strong expertise in Java or other JVM-based languages (Kotlin, Scala) and the Spring ecosystem Proven experience designing and operating distributed systems under real-world load Hands-on experience with AWS and cloud-native architectures Strong understanding of concurrency, data consistency, and system reliability Experience with PostgreSQL or other relational databases in high-throughput environments Ability to debug and optimize production systems (performance, memory, latency) Proactive mindset: you identify problems, take ownership, and drive solutions independently We especially value candidates who: Have worked on high-volume data or high-throughput systems Understand trade-offs between architectural approaches (sync vs async, etc.) Are comfortable making decisions in ambiguous environments What You Will Do Maintain and evolve existing partner integrations, ensuring reliability and scalability Design and build new integrations for large-scale data delivery Contribute to migrating services toward a cloud-native AWS architecture Monitor system health, troubleshoot production issues, and improve stability Desired Background We are particularly interested in candidates with experience in: Data-intensive or high-throughput backend systems Cloud-based architectures (especially AWS) API-driven or partner integration systems Monolith-to-distributed or cloud-native transformations Your Opportunities In this role, you will have real influence over the technical direction of our systems. We operate with a high level of ownership: engineers are expected to make decisions, propose improvements, and drive execution from idea to production. You will: Shape system architecture and key technical decisions Own services end-to-end and evolve them over time Contribute to scaling our systems and data processing capabilities Work in an environment that values initiative and accountability Recruiting Process Our hiring process is transparent, focused, and respectful of your time: Intro & Values Conversation – Getting to know each other, discussing experience, and aligning expectations Technical Interviews – Backend fundamentals and system design discussions Final Step – Team meeting followed by decision and offer A reference check will be conducted at the final stage. Our Tech Stack Our backend stack is centered around the JVM ecosystem and AWS: Core technologies: Java (11+) and Kotlin Spring / Spring Boot AWS (S3, SQS/SNS, Lambda, etc.) PostgreSQL Also used in our environment: Terraform (Infrastructure as Code) MongoDB Kubernetes Data tools (Athena, Glue, Batch, Step Functions) We do not expect experience with all of these technologies, but you should be comfortable working in modern cloud and data-intensive environments.

🏢 Summary: Senior DevOps Engineer role focused on designing, automating, and operating AWS-based cloud infrastructure for a large-scale data and AI platform. The position centers on Infrastructure as Code, platform reliability, and enabling secure, scalable analytics workloads using Databricks and Amazon Athena. You will work hands-on with cloud and DevOps technologies in a cross-functional data environment. 🗂️ Requirements: Experience as DevOps Engineer in production cloud environments, Strong hands-on experience with AWS services, Practical experience with Databricks in cloud environments, Experience designing and managing infrastructure with Terraform, Hands-on experience with Amazon Athena, Experience with CI/CD pipelines, Experience with Git-based workflows, Knowledge of Docker and Kubernetes, Experience working with data or analytics platforms, Professional proficiency in French, Professional working proficiency in English 📃 Skills: AWS, Databricks, Terraform, Athena, Docker, Kubernetes, Airflow, MLflow, CI/CD, Git, Python, Shell, Monitoring, Logging, Cloud 🏢 Description: Client The world’s largest sporting goods retailer, with a global team of 5,000+ experts across engineering, product, data, cloud, and cybersecurity, is building the largest digital sports platform—driving innovation from product design to customer experience and sustainability. Project overview The project focuses on a cloud-native data platform supporting large-scale analytics, AI, and data processing workloads.The platform leverages technologies such as Databricks and Amazon Athena, ensuring high standards for automation, scalability, security, and operational excellence. Team You will work in a cross functional team that includes DevOps engineers, data engineers, software developers, and product stakeholders. The team collaborates closely, sharing responsibility for infrastructure quality, deployment pipelines, and platform stability. Position overview We are looking for a Senior DevOps Engineer to design, automate, and operate cloud infrastructure supporting data and AI workloads. You will focus on infrastructure automation, platform reliability, and enabling data workloads to run securely and efficiently in the cloud. The role combines hands on technical work with close collaboration across engineering and data teams. Technology stack AWS, Databricks, Terraform, AWS Cloud services, Amazon Athena, Docker, Kubernetes, Airflow, MLflow, CI CD pipelines, Git based workflows, monitoring and logging tools, scripting languages Responsibilities Design, implement, and maintain cloud infrastructure on AWS using Infrastructure as Code practices Build and manage Terraform based infrastructure to support data and analytics workloads Support and optimize Databricks environments running on AWS Configure and manage Amazon Athena for querying and analytics use cases Develop, maintain, and improve CI CD pipelines for infrastructure and platform components Monitor platform performance, availability, and security and address operational issues Collaborate with data engineers and developers to translate platform requirements into technical solutions Troubleshoot infrastructure and deployment issues and perform root cause analysis Contribute to platform standardization, documentation, and continuous improvement initiatives Requirements Experience working as a DevOps Engineer in production cloud environments Strong hands on experience with AWS services Practical experience using Databricks in a cloud based environment Experience designing and managing infrastructure with Terraform Hands on experience with Amazon Athena Experience working with CI CD pipelines and Git based workflows Knowledge of containerization (Docker, Kubernetes) Experience working in data or analytics platforms Ability to communicate effectively in French in a professional context Professional working proficiency in English Nice to have Experience with data engineering or analytics platforms Exposure to multi-cloud architectures (AWS & GCP) Experience in enterprise-scale environments Strong interest in AI / Generative AI technologies Scripting or programming experience with Python, Shell, or similar languages Experience working in large scale or enterprise environments What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: Contract role for a Senior AWS DevOps Consultant to design and standardize a scalable cloud data platform with a strong focus on AWS Data Warehouse and platform engineering. The position centers on building reusable, multi-account AWS infrastructure and optimizing Redshift environments through automation and governance. The consultant will drive Infrastructure as Code, CI/CD, and architectural best practices to enable efficient data team scaling. 🗂️ Requirements: 5+ years of Cloud Infrastructure experience, Strong hands-on AWS expertise, Strong hands-on Terraform experience in multi-account environments, Experience with AWS Organizations, Experience designing platform-level solutions, Strong AWS Data Warehousing experience, Hands-on Redshift security and performance optimization, Experience with CI/CD pipelines, Experience with infrastructure automation, Understanding of cost optimization principles, Understanding of observability and scalability principles, Fluent English, Agile experience 📃 Skills: AWS, Terraform, Redshift, S3, Glue, GitHub, GitHubActions, JFrog, Python, Azure, CI/CD 🏢 Description: Senior AWS DevOps Consultant (Data Warehouse / Platform Engineering Focus) Location: Warsaw, Poland (Hybrid – minimum 2 days/week onsite) Rate: up to 220 PLN/hour About the Role We are looking for an experienced Senior AWS DevOps Consultant with a strong Data Warehouse background and a platform engineering mindset . The goal is not to hire general AWS engineers focused only on individual services or application-level work, but professionals who understand standardisation, scalable platform design, multi-account AWS environments, and reusable infrastructure capabilities . This role supports the development of a modern cloud data platform, enabling data teams to scale efficiently while maintaining strong architectural governance, automation, and performance standards. Key Responsibilities Data Warehouse Infrastructure (AWS / Redshift) Design, build, and optimize AWS-based Data Warehouse infrastructure Ensure scalable, secure, and well-documented Redshift environments Improve existing architecture and automate delivery processes Collaborate with cross-functional data engineering teams Platform Engineering & Infrastructure as Code (IaC) Develop and maintain infrastructure using Terraform in multi-account AWS environments Build reusable, standardized platform components rather than one-off solutions Implement CI/CD pipelines for infrastructure deployment Ensure robust, maintainable, and scalable cloud platform capabilities Mentorship & Knowledge Sharing Act as technical mentor for internal teams Promote platform engineering and AWS best practices Conduct pair programming and knowledge-sharing sessions Support teams in building strong AWS and data platform capabilities Requirements Must-have: 5+ years of experience in Cloud Infrastructure Strong hands-on expertise in AWS and Terraform (multi-account AWS Organizations) Experience designing platform-level solutions , not only service-level implementations Strong AWS Data Warehousing experience (especially Redshift: security, performance, optimization) Experience with CI/CD pipelines and infrastructure automation Strong understanding of cost optimization, observability, and scalability principles Ability to communicate complex technical topics clearly to stakeholders Fluent English and Agile experience Nice-to-have: AWS services: S3, Glue Tools: GitHub, GitHub Actions, JFrog, Python Experience with migration projects or multi-cloud environments (AWS + Azure) Knowledge of data governance and security practices Team 6 senior data warehouse engineers Strong background in Azure DWH, Redshift, and data engineering Agile/Scrum with Kanban practices

🏢 Summary: Senior Backend Engineer role focused on defining the technical direction and architecture of a domain within a borderless financial platform. The position involves designing scalable microservices, driving architectural decisions, and leading a small backend team in a distributed environment. The role emphasizes reliability, security, and high‑volume transaction processing in a cloud-based ecosystem. 🗂️ Requirements: 4-7 years backend engineering experience, Proficiency in Go, Experience with Java 21 or modern Java, Experience designing microservices with clear contracts, Experience with caching strategies including TTL and invalidation, Experience with event-driven or asynchronous architectures, Experience with structured logging, metrics, and alerting, Experience with AWS services, Experience with relational and non-relational databases, Experience with Spring Boot or similar frameworks, Experience reviewing code and architectural decisions, Availability to work in GMT+5:30 timezone 📃 Skills: Java, Go, Spring, JDBI, PostgreSQL, CockroachDB, DynamoDB, Redis, SQS, SNS, Kafka, AWS, EKS, ALB, RDS, S3, Kong, Datadog, Quickwit, JWT, RBAC, TLS, Docker, ArgoCD, GitHub, Microservices, Kafka, CDC 🏢 Description: Project overview This project focuses on developing a borderless financial platform that supports international banking flows, payments, account management and regulatory compliant operations. The product handles sensitive data and high volume transactions while prioritising reliability and security. Team You will work in a distributed environment with backend engineers, a product manager and platform specialists. The role involves leading a sub team of three to five engineers, conducting design reviews, ensuring code quality standards and supporting collaborative decision making. Position overview We are looking for a Senior Backend Engineer who will define the technical direction of a backend domain and drive architectural decisions. You will design microservices, create scalable solutions, guide a small engineering group and collaborate closely with product specialists to shape the delivery roadmap. We are looking for a person willing to work in the time zone: GMT+5:30. Technology stack Java 21, Go, Spring Boot, JDBI, custom workflow engines, PostgreSQL, CockroachDB, DynamoDB, Redis, SQS, SNS, Kafka, AWS EKS ALB RDS S3 Secrets Manager, Kong API Gateway, Datadog, Quickwit, JWT RBAC TLS request and response encryption VAPT, GitHub Actions, Docker, ArgoCD, microservices, event driven architecture, saga and orchestration patterns, CDC pipelines, maker checker workflows Responsibilities Plan and design backend microservices with clear boundaries and contracts Develop solutions for domains such as onboarding, payments, transaction orchestration or platform components Break complex epics into actionable tasks with clear acceptance criteria Review designs from other engineers to ensure scalability and fault tolerance Drive technical decisions including caching layers, asynchronous processing strategies, database choices and API versioning Evaluate build versus buy options for integrations and services Collaborate with a product manager to align on scope and prioritisation Lead a sub team of backend engineers and support their professional growth Support incident response, root cause analysis and long term improvements Monitor service performance using logging, metrics and tracing tools Requirements Professional backend engineering experience from 4-7 years Experience with Go (tooling & CLIs) Experience designing microservices with well-defined contracts and boundaries Experience with Java 21 or modern Java versions Experience with caching strategy design, including TTL and invalidation approaches Experience working with asynchronous processing, event-driven architecture, or queue-based workflows Experience using structured logging, metrics, and alerting to debug production systems Experience in making build versus buy decisions with clear trade-off analysis Experience reviewing code and identifying architectural or contract issues Experience with AWS-based services Experience working with relational and non-relational databases such as PostgreSQL or DynamoDB Experience writing backend services using Spring Boot or similar frameworks Nice to have Experience with financial or payments related systems Experience with KYC or AML flows Experience with workflow or orchestration engines Experience with platform wide pattern creation or reusable service design Experience with data encryption practices and security audits Experience with CockroachDB or high availability distributed databases What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: Senior AWS DevOps Consultant role focused on building, optimizing, and securing AWS-based Data Warehouse infrastructure, particularly Redshift, for a long-term renewable energy project. The position involves automating cloud infrastructure with Terraform, enhancing scalability and cost efficiency, and mentoring internal data teams. Hybrid work model with long-term B2B engagement. 🗂️ Requirements: Minimum 5 years of experience in Cloud Infrastructure, Strong experience with AWS Cloud, Proficiency in Terraform, Experience with multi-account AWS Organizations, Experience with CI/CD pipelines, Hands-on experience with Redshift DWH, Knowledge of data warehousing concepts, Knowledge of data transformation and loading strategies, Experience implementing AWS infrastructure solutions, Ability to optimize cost and performance in AWS, Fluent English, Experience working in Agile environment 📃 Skills: AWS, Terraform, Redshift, CI/CD, AWSOrganizations, DataWarehousing, ETL, Agile 🏢 Description: Industry: renewable energy Work model: full-time, hybrid from Warsaw Center (2 days/week on-site) Project language: English Project length: 6 months contracts + prolongations (long-term project) Start: ASAP Assignment type: B2B Remuneration: up to 190 PLN/h net +VAT Summary: The Senior AWS DevOps Consultant plays a crucial role focusing on enhancing the organization's cloud data capabilities via AWS. This position aims to leverage extensive experience in AWS and Data Warehousing to effectively support and mentor internal data teams. Main Responsibilities: Support the team in building infrastructure for Data Warehouse solutions for a growing internal client base. Optimize the existing setup, enhancing the current design and automation. Ensure security, scalability, and documentation of Redshift DWH. Collaborate with cross-functional teams. Automate and manage AWS infrastructure using Terraform. Act as a technical mentor and share best practices on data architecture. Provide pair-programming sessions to develop AWS skills. Key Requirements: Minimum 5 years of experience in Cloud Infrastructure. Proficiency with Terraform, AWS Cloud, multi-account AWS Organizations, and CI/CD. Experience implementing AWS infrastructure solutions. Experience working with Redshift DWH. Foundational knowledge of data warehouse functional areas and data transformation/loading strategies. Ability to establish best practices in cost optimization and performance. Excellent communication and mentoring skills. Fluent English and familiarity with Agile methodologies. Nice to Have: Experience with migration projects. Familiarity with tools like GitHub, GitHub Actions, JFrog, and Python. Knowledge of data governance or security aspects. Experience in multi-cloud environments (AWS + Azure).

🏢 Summary: Senior AWS DevOps Consultant role focused on building, optimizing, and securing AWS-based Data Warehouse infrastructure in a long-term renewable energy project. The position supports and mentors internal data teams while automating and managing scalable cloud environments. Hybrid work model with B2B contract and English-speaking project environment. 🗂️ Requirements: Minimum 5 years of experience in Cloud Infrastructure, Proficiency with AWS Cloud, Proficiency with Terraform, Experience with multi-account AWS Organizations, Experience with CI/CD pipelines, Experience implementing AWS infrastructure solutions, Experience with Redshift DWH, Knowledge of data warehouse architecture and data transformation/loading strategies, Ability to optimize cost and performance in AWS environments, Fluent English, Experience working in Agile environment 📃 Skills: AWS, Terraform, Redshift, CI/CD, Organizations, Cloud, DataWarehouse, Agile 🏢 Description: Industry: renewable energy Work model: full-time, hybrid from Warsaw Center (2 days/week on-site) Project language: English Project length: 6 months contracts + prolongations (long-term project) Start: ASAP Assignment type: B2B Remuneration: up to 190 PLN/h net +VAT Summary: The Senior AWS DevOps Consultant plays a crucial role focusing on enhancing the organization's cloud data capabilities via AWS. This position aims to leverage extensive experience in AWS and Data Warehousing to effectively support and mentor internal data teams. Main Responsibilities: Support the team in building infrastructure for Data Warehouse solutions for a growing internal client base. Optimize the existing setup, enhancing the current design and automation. Ensure security, scalability, and documentation of Redshift DWH. Collaborate with cross-functional teams. Automate and manage AWS infrastructure using Terraform. Act as a technical mentor and share best practices on data architecture. Provide pair-programming sessions to develop AWS skills. Key Requirements: Minimum 5 years of experience in Cloud Infrastructure. Proficiency with Terraform, AWS Cloud, multi-account AWS Organizations, and CI/CD. Experience implementing AWS infrastructure solutions. Experience working with Redshift DWH. Foundational knowledge of data warehouse functional areas and data transformation/loading strategies. Ability to establish best practices in cost optimization and performance. Excellent communication and mentoring skills. Fluent English and familiarity with Agile methodologies. Nice to Have: Experience with migration projects. Familiarity with tools like GitHub, GitHub Actions, JFrog, and Python. Knowledge of data governance or security aspects. Experience in multi-cloud environments (AWS + Azure).