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🔥 Cloud Support Engineer
Posted about 2 hours ago

📍 South Africa

🧭 Full-Time

🏢 Company: Cyberlogic👥 51-100Cloud Data ServicesConsultingIT ManagementTechnical SupportCloud SecurityInformation TechnologyNetwork SecuritySoftware

  • 3-5 years of experience in an IT Engineering capacity.
  • 2+ years of knowledge and experience with Microsoft 365.
  • 2+ years of knowledge and experience using Infrastructure as Code (IAC).
  • Microsoft AZ-104: Microsoft Azure Administrator.
  • Microsoft AZ-305: Designing Microsoft Azure Infrastructure Solutions.
  • Microsoft AZ-700: Designing and Implementing Microsoft Azure Networking Solutions.
  • Microsoft AZ-140: Configuring and Operating Microsoft Azure Virtual Desktop.
  • Microsoft AZ-500: Microsoft Azure Security Technologies.
  • LPI Certified Kubernetes Administrator (CKA)
  • AWS Certified AWS SysOps Administrator
  • Microsoft AZ-800: Administering Windows Server Hybrid Core Infrastructure
  • Diagnose, troubleshoot and resolve technical issues related to Microsoft Azure solutions.
  • Manage and resolve incidents by adhering to established incident management processes.
  • Manage and maintain Azure subscriptions ensuring proper configuration, security policies, and compliance.
  • Assist customers in managing their public cloud infrastructure resources.
  • Advise customers on security best practices within public cloud platforms.
  • Stay informed about the latest security threats.
  • Implement and enforce security policies and procedures.
  • Utilize scripting languages and automation tools to streamline processes.
  • Provide guidance and mentorship to the wider CSS team members such as the monitoring and Infrastructure support technician staff.
  • Conduct engaging training sessions.
  • Collaborate with internal and cross-functional teams.
  • Co-ordinate with stakeholders to minimize disruptions and maintain service continuity throughout any change process.
  • Participate actively in cross-functional teams, particularly within the professional services department.
  • Establish adherence to internal Key Performance Indicators (KPIs), Operational Level Agreements (OLAs), and external Service Level Agreements (SLAs).
  • Maintain detailed documentation of support activities.
  • Timeous communication with clients and internal stakeholders (e.g. CSMs & SDMs).
  • Compile and Actioning Requests for Change (RFCs) related to public cloud platforms.
  • Contribute to the team's knowledge base.
  • Maintain flexibility and availability to support system upgrades and maintenance activities.
  • Establish flexibility in schedule to accommodate occasional office days when necessary to participate in trainings.
  • Participate in the after-hours standby roster to provide support for select 24/7 clients when needed.
  • Stay updated with the latest advancements in public cloud platforms, technologies, and industry trends.
  • Participate in continuous learning through training, certifications, and self-study.
  • Set and review personal development goals to ensure continuous improvement and growth.

AWSCloud ComputingKubernetesMicrosoft AzureMicrosoft ExchangeREST APICommunication SkillsAnalytical SkillsCI/CDProblem SolvingMentoringLinuxDevOpsTerraformDocumentationNetworkingTeamworkTroubleshootingJSONRisk ManagementTechnical supportScriptingCustomer supportChange Management

Posted about 2 hours ago
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🔥 Senior Infrastructure Engineer
Posted about 2 hours ago

📍 United States, Europe

🧭 Full-Time

💸 180000.0 - 190000.0 USD per year

🔍 Software Development

🏢 Company: Eppo

  • Hands-on experience with Google Cloud Platform (or other major cloud providers), including resource management, cost optimization, and security.
  • Comfort writing automation scripts (e.g., Bash, Python, Go) to streamline infrastructure tasks and improve efficiency.
  • Proficiency with Docker and Kubernetes (including local development tools such as Docker Compose, Minikube, or K3s).
  • Experience with Terraform (or similar IaC tools) to deploy and maintain complex infrastructure in a repeatable, scalable manner.
  • Familiarity with monitoring, logging, and alerting best practices, ensuring systems are both observable and scalable.
  • Familiarity with load testing, performance profiling, and capacity planning to ensure systems remain responsive under growing demand.
  • Proven track record of designing and implementing continuous integration and deployment pipelines that boost developer productivity.
  • Solid grasp of core networking concepts (DNS, routing, load balancing) and a track record of securing systems at scale (e.g., IAM, SSL, firewalls).
  • Comfort implementing security measures and best practices to protect sensitive data and systems.
  • Own and optimize our Google Cloud Platform (GCP) resources, ensuring our infrastructure remains secure, scalable, and cost-effective.
  • Improve developer productivity by optimizing our local development environments and establishing best-in-class CI/CD pipelines.
  • Collaborate with product and data engineering teams to provide guidance on observability, performance, and scalability best practices, while ensuring our Kubernetes deployments are streamlined and resilient.

DockerPythonSQLBashCloud ComputingGCPKubernetesGoREST APICI/CDLinuxDevOpsTerraformMicroservicesJSONAnsible

Posted about 2 hours ago
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🔥 Staff Software Engineer - Product
Posted about 2 hours ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: Atlan

  • 8+ years of hands-on experience in backend development and building large-scale data pipelines.
  • Proven ability to ensure the scalability and reliability of complex systems.
  • Proficiency in Python and Kotlin.
  • Strong experience with Kubernetes and cloud platforms (AWS, Azure, or GCP).
  • Familiarity with workflow orchestration tools like Argo.
  • A track record of mentoring engineers and driving technical excellence.
  • Ability to lead customer interactions as a technical SME.
  • Experience with SaaS products and metadata management (preferred).
  • Take up end to end ownership of multiple enterprise connectors.
  • Design and implement high-level architecture for enterprise connectors.
  • Develop source-specific packages for crawling, mining, and migrating metadata from diverse data sources.
  • Own and lead Engineering Excellence for the business unit
  • Guide and mentor junior engineers, fostering a culture of technical excellence and continuous learning.
  • Act as a technical SME, unblocking customers and partners during onboarding.
  • Lead and mentor junior engineers and drive Engineering Excellence.
  • Deploy and manage packages on the Atlan Metadata Marketplace, ensuring reliability and seamless user experiences.
  • Drive innovation in connector development and improve developer productivity for Atlan users.

AWSBackend DevelopmentDockerLeadershipPythonSQLCloud ComputingData MiningDesign PatternsETLKafkaKotlinKubernetesSoftware ArchitectureAPI testingREST APICI/CDMentoringDevOpsData modelingSoftware EngineeringData managementSaaS

Posted about 2 hours ago
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🔥 QA Engineer
Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 90000.0 - 130000.0 USD per year

🔍 Software Development

🏢 Company: Atticus

  • 1-3 years of relevant experience as a QA engineer or similar role.
  • You enjoy working with UI and UX experts to test compelling user experiences.
  • You enjoy teaching and mentoring teammates on testing best practices.
  • You’ve tested both services and web platforms extensively.
  • You have experience using Postman for API testing and validation.
  • You've embedded with a team to document test cases in close collaboration with product, engineering, and design.
  • You've got a track record of creating or improving a QA process to measurably increase product quality.
  • Contribute to Atticus’ testing strategy with a focus on performance, modularity, extensibility, and reliability.
  • Create and validate detailed test plans in a collaborative environment with software engineers.
  • Work with Product to evaluate and refine product details and acceptance criteria.
  • Collaborate with the lead SDET to inspire developers and other stakeholders to create excellent products and services.
  • Execute regression and functional testing across all aspects of our product
  • Identify, track, triage, prioritize and document issues through to resolution

DockerCypressGitKubernetesQATypeScriptUI DesignAPI testingManual testingRegression testingTestRailSelenium

Posted about 3 hours ago
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🔥 Senior Full Stack Rust Engineer, Crypto
Posted about 4 hours ago

📍 North America

🔍 Crypto, Blockchain

  • 5-8 Years in software development with at least 2 years dedicated to blockchain and crypto projects
  • Proven experience in developing and deploying scalable systems using Rust, particularly within the crypto industry
  • Strong proficiency in building full-stack applications, integrating robust infrastructures that support scalable crypto use cases such as DeFi, infrastructure, protocols, and smart contracts
  • Strong command of Web3.js, Ethers.js, and fundamental blockchain concepts, with hands-on experience using web3 tools like IPFS, Thirdweb, The Graph, and Alchemy
  • Strong knowledge of distributed systems, peer-to-peer networking, and cryptographic principles used in blockchain development
  • Experience working with major cloud providers such as AWS and Google Cloud, leveraging cloud storage and containerization to build scalable and resilient architectures
  • Deep understanding of modern DevOps practices, including CI/CD pipelines, infrastructure as code, and monitoring tools to ensure reliability and performance
  • Design, develop, and deploy world-class blockchain infrastructure and full-stack applications for clients across DeFi, protocols, gaming, and infrastructure projects
  • Work across EVM and SVM ecosystems, ensuring seamless and performant blockchain interactions at scale
  • Optimize blockchain infrastructure for security, reliability, and efficiency, integrating smart contracts, indexing solutions, and decentralized storage
  • Collaborate with top-tier crypto teams, guiding them from concept to launch with deep technical expertise in Rust and blockchain architecture
  • Lead architecture decisions for backend and infrastructure, ensuring scalability, resilience, and high-performance execution in distributed environments
  • Stay on the cutting edge of blockchain and cloud infrastructure trends, experimenting with new technologies and bringing innovative solutions to clients

AWSBackend DevelopmentDockerSoftware DevelopmentBlockchainCloud ComputingFrontend DevelopmentFull Stack DevelopmentKubernetesSoftware ArchitectureREST APIRustWeb3.jsCI/CDDevOps

Posted about 4 hours ago
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🔥 AI Solution Architect- expert level and fully global remote
Posted about 4 hours ago

📍 London, England, United Kingdom, United States, Tokyo, Japan, Australia

🧭 Contract

🔍 Food Tech

🏢 Company: Cookpad Ltd

  • 7+ years experience, including 3+ years in AI/ML and Generative AI.
  • Proven track record in designing, developing, and deploying customer-facing Generative AI solutions.
  • Strong Python programming skills, with expertise in software design and optimization.
  • Hands-on experience in MLOps pipelines, AWS cloud services, and DevOps practices.
  • Proficiency in agentic and multi-agent AI systems, enabling autonomous reasoning, decision-making, and collaboration between AI agents.
  • Experience with agentic LLM frameworks (E.g. LangChain, LlamaIndex, Crewai) for enhancing AI-driven workflows.
  • Deep expertise in AWS services (SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3).
  • Proficiency in containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
  • Strong understanding of scalable, secure, and high-performance AI deployment strategies.
  • Translate AI requirements into scalable, enterprise-grade architectures.
  • Design and implement Generative AI solutions, including LLMs, RAG pipelines.
  • Architect and deploy AI/ML solutions using AWS services such as SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, and S3.
  • Ensure AI models and solutions meet security, privacy, and compliance standards.
  • Define and implement best practices for AI model deployment, orchestration, and monitoring.
  • Stay updated with the latest advancements in AI and related technologies and apply them to improve existing solutions.
  • Design, develop, and deploy Generative AI models for text, image, and conversational applications.
  • Oversee the development and deployment of intelligent bots, ensuring they meet functional and performance requirements.
  • Utilize MLOps pipelines to streamline model training, evaluation, and deployment in production.
  • Implement and optimize vector databases (e.g., Pinecone, FAISS) for efficient AI retrieval and storage.
  • Work with agentic LLM frameworks such as Langchain and LlamaIndex to enhance AI capabilities.
  • Leverage AWS AI/ML services (EC2, S3, Lambda, SageMaker, RDS, Redshift) for scalable deployment of AI solutions.
  • Utilize containerization technologies (Docker, Kubernetes) and CI/CD pipelines for machine learning model deployment.
  • Design and implement AWS-based deployment strategies, ensuring scalability, security, and performance optimization.

AWSDockerPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingDynamoDBKubernetesMachine LearningSoftware ArchitectureAlgorithmsAmazon Web ServicesData StructuresRDBMSREST APICI/CDDevOpsNodeJS

Posted about 4 hours ago
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🔥 Technical Lead for Code Reviewer Project (worldwide remote, work anywhere)
Posted about 5 hours ago

📍 Spain, Poland, Georgia, Serbia

🧭 Full-Time

🔍 Software Development

🏢 Company: Cloudlinux

  • Proven ability to take a project from concept through to production, including requirements gathering, design, testing, and maintenance.
  • Experience with Jira (or similar) for task management, sprint planning, and reporting.
  • Comfortable with iterative development, frequent releases, and fast feedback cycles.
  • Proficiency in Git-based workflows (GitHub, GitLab, or Gerrit) and CI/CD setups (Jenkins, etc.).
  • Strong knowledge of how to integrate automated checks and tests into pipelines.
  • In-depth understanding of what makes a code review effective, including detection of security vulnerabilities, logical errors, performance bottlenecks, and style issues.
  • Familiarity with AST-based or control-flow techniques to enable deeper analysis.
  • Strong experience with Python and hands-on experience in other programming languages (preferably C/C++/PHP/Go).
  • Awareness of common design patterns, best practices, and typical pitfalls across various tech stacks.
  • Ability to independently explore new libraries or methods—especially around static analysis and potential AI-based enhancements—to continually improve the reviewer.
  • Design and implement a system capable of reviewing code across multiple languages and projects.
  • Incorporate advanced code analysis techniques (e.g., AST parsing, control flow analysis) to identify bugs, style inconsistencies, and potential security and performance issues.
  • Ensure the reviewer can be extended or customized based on evolving requirements from diverse teams.
  • Employ agile methodologies (Scrum/Kanban) to plan, track, and iterate on new features.
  • Integrate seamlessly with CI/CD pipelines (GitHub, GitLab, Gerrit, Jenkins), making the reviewer easily adoptable by various R&D teams.
  • Collaborate with DevOps to ensure smooth deployment and maintenance.
  • Define and maintain code review standards, including style guidelines, security checks, and performance considerations.
  • Work with development teams to refine pull/merge request processes, fostering a culture of high-quality code.
  • Provide comprehensive review feedback and assist in automating repetitive checks to streamline manual review efforts.
  • Engage with stakeholders and engineering teams to gather feedback and requirements.
  • Communicate progress clearly and adapt the solution based on iterative input.
  • Advocate for best practices, teaching others how to maximize the value of automated reviews.
  • Investigate emerging tools and methodologies in static analysis, linting, and machine learning for potential integration.
  • Prototype new features or approaches including AI/LLM usage to for code reviewing and unstructured data handling.

DockerLeadershipProject ManagementPythonSoftware DevelopmentSQLAgileDesign PatternsGitJenkinsKubernetesMachine LearningC++JiraCross-functional Team LeadershipAlgorithmsData StructuresREST APICommunication SkillsAnalytical SkillsCI/CDAgile methodologiesRESTful APIsLinuxDevOpsMicroservicesResearch skillsPrototypingSoftware EngineeringDebugging

Posted about 5 hours ago
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🔥 Google Cloud Architect
Posted about 5 hours ago

📍 Canada

🧭 Full-Time

🔍 AI & Data

🏢 Company: Datatonic

  • Bachelor’s or Master’s degree in Computer Science or a related technical discipline.
  • Hands-on experience in designing and implementing large-scale big data cloud architectures.
  • Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.
  • Strong analytical skills with a focus on innovation and technical excellence.
  • Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.
  • Skills in developing and maintaining relationships with key external stakeholders at various organisational levels.
  • Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.
  • Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.
  • Proficiency in working with container technologies and leveraging them effectively in projects.
  • Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.
  • Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.
  • Google Cloud Architect certification.
  • Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow, Pub/Sub.
  • Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow and Cloud Composer
  • Experience with Google Cloud Governance technologies such as Cloud Logging, Cloud Monitoring, IAM, Key Management Service and Artifact Registry.
  • Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
  • Contribute to the design and implementation of enterprise-scale Data and AI projects.
  • Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.
  • Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.
  • Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.
  • Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.
  • Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.
  • Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.
  • Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.
  • Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.
  • Guide team members, fostering a culture of growth and innovation.

LeadershipProject ManagementPythonSQLAgileCloud ComputingData AnalysisETLGCPJavaKubernetesMachine LearningSoftware ArchitectureTableauData engineeringREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesMentoringWritten communicationSales experienceData visualizationStakeholder managementData modeling

Posted about 5 hours ago
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🔥 Lead Java Engineer for an eCommerce & Distribution company
Posted about 5 hours ago

📍 United Kingdom, Germany, Poland, Czechia

🧭 Full-Time

🔍 ECommerce & distribution

🏢 Company: RemotivateJobs

  • 10+ years of experience in backend development, with a focus on Java (Spring), software and system architecture.
  • 5+ years of leadership experience managing development teams (hiring, training, setting KPIs, running sprints, and ensuring delivery).
  • Strong architectural and system design expertise, including experience in improving and scaling backend infrastructure.
  • Proficient in Cloud (GCP ideally), Microservices & event-driven architecture, Docker and Infrastructure as code.
  • Deep understanding of business logic in eCommerce, ensuring that technical decisions align with company goals.
  • Experience with auditing and optimizing backend systems, implementing best practices to enhance efficiency and performance.
  • Hands-on coding experience, with the ability to review code, conduct check-ins, and improve development processes.
  • Excellent communication skills, with the ability to lead discussions, challenge inefficiencies, and drive improvements within the team.
  • Comfortable working in a fast-paced, results-driven environment, prioritizing output over perfectionism.
  • Experience with cloud infrastructure (GCP) and setting up DevOps processes.
  • Leading the software development team (10 engineers) by managing sprints, assigning tasks, and ensuring effective collaboration.
  • Overseeing backend architecture and making high-level decisions to improve system efficiency and scalability.
  • Conducting regular code reviews and performance audits, identifying and resolving bottlenecks.
  • Improving development workflows, setting clear KPIs, and driving faster delivery cycles.
  • Collaborating with the CEO and stakeholders to align technical development with business objectives.
  • Ensuring smooth communication across the team, encouraging open discussions and knowledge sharing.
  • Driving continuous improvement, identifying weaknesses in existing processes and implementing better solutions.

Backend DevelopmentDockerLeadershipProject ManagementSQLCloud ComputingGCPJavaKubernetesPeople ManagementRabbitmqSoftware ArchitectureSpringActiveMQJava SpringMavenREST APICommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesDevOpsMicroservicesJSONTeam managementStrategic thinking

Posted about 5 hours ago
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🔥 Senior Software Engineer (Internal Developer Platform)
Posted about 5 hours ago

📍 Ireland, UK, Sweden, the Netherlands, Germany, Spain, Bulgaria, Denmark, Finland, France, Italy, & Poland

🧭 Full-Time

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabaseOpen SourceCloud ComputingSaaSSoftware

  • Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration
  • Provides guidance and coaching to entry-mid level engineers
  • Takes a software-driven approach to solving problems and routinely uses git to track progress
  • Strong understanding of software engineering principles, dependency injection, composition, and test driven development
  • Experience designing/implementing medium/large scale software projects (strong preference for Go)
  • Familiar with standard authentication protocols (e.g OAuth)
  • Familiar with the development of web services and/or Kubernetes controllers
  • Experienced performing deep technical analysis and fixing applications, systems, and networks
  • Strong Linux and TCP/IP networking skills
  • Solid knowledge of cloud infrastructure (preferably AWS), including development integrating with provider APIs
  • Experience with configuration management tools and managing infrastructure through code
  • Experience setting up and maintaining CI/CD workflows and tooling to deploy production services
  • Experience running containers in a production environment, preferably Kubernetes based
  • Proven experience with observability concepts and tooling, metrics, logging, traces, Prometheus, Grafana, OpenTelemetry
  • Has practical knowledge of delivering production level services with SLI/SLOs and understands how to measure, track and adjust them
  • 5+ years of experience working in a similar role
  • Work with engineering teams across MongoDB to investigate gaps and limitations in existing development workflows and understand new infrastructure and platform requirements
  • Design self-service platform services and developer tooling that focuses on reliability, usability, and provides the appropriate level of abstraction from cloud infrastructure
  • Regularly write and review automation, configuration management, and application code
  • Author and review functional specifications and scoping documents for large platform projects and services
  • Own and operate much of the internal development platform that runs MongoDB
  • Work on a distributed team that frequently interacts with remote engineers across multiple time zones (primarily PST/EST/GMT)

AWSBackend DevelopmentSoftware DevelopmentCloud ComputingGitKubernetesOAuthSoftware ArchitectureAPI testingGoGrafanaPrometheusCI/CDRESTful APIsLinuxTerraformMicroservicesJSONSoftware EngineeringDebugging

Posted about 5 hours ago
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