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Cloud Computing

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2,288 jobs found.

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🔥 Tech Lead – Order Management Systems (OMS)

Posted about 1 hour ago

📍 Americas, Europe

🧭 Full-Time

🔍 Software Development

🔧 Requirements

8+ years of software engineering experience, with increasing responsibility in technical leadership.
Expertise in backend development using Java, Node.js, or similar technologies; experience with React is a plus.
Experience implementing Fluent OMS is required.
Strong understanding of event-driven architecture, distributed systems, and real-time data processing.
Proficiency in API design and integration (REST, GraphQL).
Experience with cloud-native services (e.g., AWS Lambda, SQS, SNS, DynamoDB).
Proven track record of mentoring developers and leading agile teams in enterprise environments.
Familiarity with commerce platforms (e.g., Commercetools, Elastic Path, Shopify Plus) is a plus.
Exposure to DevOps, CI/CD pipelines, and monitoring tools.
Experience with AI-enhanced development workflows and a strong curiosity for innovation.*

💡 Responsibilities

Design, develop, implement, and support high-quality solutions for OMS and POS platforms, ensuring system reliability and minimal downtime.
Write clean, efficient, and well-documented code following best practices and coding standards, contributing to high-quality deliverables and robust system performance.
Validate changes through regression testing to ensure alignment with business needs and system stability.
Manage support requests and incidents using a ticketing system, providing timely updates and resolutions.
Analyze incident trends to identify recurring issues, recommend proactive solutions, and contribute to the development of innovative solutions to enhance retail operations.
Provide feedback on system and process improvements, collaborating with teams to implement enhancements and drive innovation across retail ecosystems.
Partner with designers, Product Managers, and clients to gather requirements, prioritize tasks, and deliver projects on time and within budget.
Create and maintain technical documentation, diagrams, and APIs to facilitate knowledge sharing and seamless data exchange.
Engage with stakeholders and clients to provide regular updates, address concerns, and ensure transparency on project progress, challenges, and decisions.
Act as a subject matter expert (SME) in OMS and POS technologies, guiding architectural and technology decisions.
Lead by example in technical excellence and coding standards, ensuring consistency and high performance across the codebase.
Conduct code reviews and provide constructive feedback to maintain code quality, support skill development, and encourage team learning.
Mentor and coach developers, supporting their professional growth and helping them navigate challenges in project delivery.
Collaborate with Delivery Managers, Product Managers, and leadership to scope work, assign responsibilities, and ensure alignment with client and business priorities.

Backend Development GraphQL Leadership Node.js Agile Cloud Computing DynamoDB Java Javascript React.js Software Architecture API testing CI/CD Mentoring DevOps Microservices Software Engineering

Posted about 1 hour ago

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🔥 Director | Data Science

Posted about 1 hour ago

📍 United States

🧭 Full-Time

🔍 Healthcare

🏢 Company: Machinify👥 51-100💰 $10,000,000 Series A over 6 years agoArtificial Intelligence (AI)Business Intelligence Predictive Analytics SaaS Machine Learning Analytics

🔧 Requirements

10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment
Strong knowledge of data privacy regulations and best practices in data security
Exceptional team management abilities, with experience in building and leading high-performing teams
Ability to think strategically and execute methodically
Ability to drive change and inspire a distributed team
Strong problem-solving skills and a data-driven mindset
Ability to communicate effectively, collaborating with diverse groups to solve complex problems

💡 Responsibilities

Provide direction and guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work
Collaborate with the leadership team to define key technical and business metrics and objectives
Translate objectives into internal team priorities and assignments
Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics
Hire, mentor and develop team members
Foster a culture of innovation, collaboration, and continuous improvement
Communicate technical concepts and strategies to technical and non-technical stakeholders effectively
Own the success of various models on the field by continuously monitoring KPI’s and initiating projects to improve quality.

AWS Leadership Python SQL Apache Airflow Cloud Computing Data Analysis ETL Keras Machine Learning MLFlow Numpy People Management Cross-functional Team Leadership Algorithms Data engineering Data science Data Structures Pandas Spark Tensorflow Communication Skills Problem Solving Agile methodologies RESTful APIs Mentoring Data visualization Team management Strategic thinking Data modeling

Posted about 1 hour ago

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🔥 Technical Project Manager

Posted about 2 hours ago

📍 United States

💸 81600.0 - 102000.0 USD per year

🏢 Company: vernova_externalsite

🔧 Requirements

Bachelor's degree from an accredited university or college and at least 5 years of experience (or a high school diploma / GED with at least 6 years of experience in Job Family Group(s)/Function(s)).
Strong oral and written communication skills.
Demonstrated ability to analyze and resolve problems.
Ability to document, plan, market, and execute programs.
Established project management skills.

💡 Responsibilities

Plan and implement software deployment projects at various customer work sites in the US and abroad, including the activities of staff and subcontractors
Manage the project budget and timeline and ensure the resources are available to complete the project within budget and on time in order to meet customer obligations
Ensure that delivered enterprise level products and services achieve highest quality and performance levels
Primary customer contact for the duration of each project. May commission, resolve specification issues, handle correspondence, provide periodic updates, ensure customer satisfaction, and negotiate/coordinate with staff as appropriate
Proactively provide customers with product and services information and project updates
Identify opportunities for customers to get the best value out of GE software
Translate customer needs / requirements into detailed project plans while driving internal execution to meet project targets
Manage a network of resources (including contractors) in support of project execution.
Experience in overseeing data management strategies and utilizing tools (e.g., SQL, NoSQL) to manage and optimize large-scale datasets across complex projects.
Experience in leveraging cloud platforms (e.g., AWS, Azure) to design and manage scalable, enterprise-level solutions.
Knowledge of advanced analytics tools (e.g., Power BI, Tableau) to drive strategic insights and inform high-level decision-making for project success.
Identify opportunities to expand the project in ways that bring value to our customer and satisfy our profitability requirements. Negotiate change orders with the customers
Take part in the writing of reports that describe the results of a project
Participate in the development of proposals for projects
Professionally represent GE during all customer communications

AWS Project Management SQL Cloud Computing Cross-functional Team Leadership Tableau Azure Communication Skills Problem Solving Written communication Reporting Budgeting Data visualization Stakeholder management Technical support Data analytics Data management Customer Success

Posted about 2 hours ago

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🔥 クラウド・マイグレーション・モダナイゼーションサブリーダー [Cloud Migration & Modernization sub-leader]

Posted about 2 hours ago

📍 Japan

🔍 Cloud Computing

🔧 Requirements

Deep expertise within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
Enterprise IT application experience
Hands-on experience in at least one of the following: software development, DevOps engineering, systems administration, or systems architecture in public cloud AWS domain
In-depth knowledge of Windows and Linux Operating Systems
Must have experience driving for engineering solutions and working across teams
Strong process improvement experience
High proficiency in Japanese Language (N1 or above)
Experience with system migration or infrastructure modernization projects
Deep understanding of cloud architecture, networking, and security

💡 Responsibilities

Plan and execute system migrations from on-premise to cloud (AWS, Azure, GCP)
Design, build, and manage cloud environments
Modernize applications using cloud-native technologies and containerization
Define requirements with clients and conduct technical feasibility studies
Assess risks and implement security measures related to cloud migration
Support project management and collaborate with stakeholders
Develop tools and scripts to promote automation and efficiency
Create technical documentation and provide technical guidance to team members

AWS Project Management Python Software Development Cloud Computing GCP Azure CI/CD Linux DevOps Terraform Networking Ansible Scripting

Posted about 2 hours ago

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🔥 Solutions Engineer - MidMarket / Channel, UK

Posted about 14 hours ago

📍 UK

🔍 SaaS Security

🏢 Company: AppOmni👥 101-250💰 Series C over 2 years agoSaaS Cloud Security Cyber Security Cloud Management Software

🔧 Requirements

5+ years of experience as a security system engineer, Solutions Engineer, or systems integrator.
Experience working with partners is a plus
Working knowledge of common SaaS solutions, such as SFDC, O365, Zoom, Box, Slack, Okta, Github, ServiceNow, Workday both from a technology and a business driver standpoint.
Demonstrable experience in securing SaaS / cloud environments.
Deep understanding of API based security & compliance standards.
Hands-on experience working with customers, positioning, demonstrating and configuring security products during risk assessment or POV engagements.
Strong communication and presentation skills.
Strong technical qualification and closing skills.
Experience from companies in the enterprise security space, and experience working with and closing enterprise transactions.
Strong problem finding and solving skills, ability to analyze complex problems and use a systematic approach to gain quick resolution.
Experience understanding exploits, malware, ransomware and their creation and activation etc.
Technical acumen with a broad technical security and infrastructure background.
Programming and DevOps experience will be an added advantage
Experience with working with Channel partners, and understands a channel centric go to market approach

💡 Responsibilities

Provide technical expertise for AppOmni customer and partner opportunities.
Present AppOmni to partners and customers at all levels from technical engineering team members to C-level decision makers.
Provide technical demos.
Streamline and help customers and partners run and deliver AppOmni customer Risk Assessments and Proof-of-Value (POV) engagements.
Lead technical conversations about SaaS security industry trends and emerging challenges.
Interact locally and remotely with customers and partners in an equally persuasive manner.
Be the technical voice of AppOmni for all things related to SaaS security and compliance.
Champion SaaS security best practices and innovations.
Work with Product Management and Product Marketing to build requirements and product features based on feedback from customers.
Work with the AppOmni Customer Success team to coordinate AppOmni and customer + partner partner activities.
Foster relationships with AppOmni-supported SaaS security partners and vendors.
Provide technical AppOmni solution coverage for AppOmni and partner marketing activities.
Assist in the creation and maintenance of central AppOmni Demo systems and demo guides.

SQL Cloud Computing Cybersecurity API testing Communication Skills RESTful APIs Linux DevOps Presentation skills Compliance JSON Strong communication skills Sales experience Technical support Customer Success SaaS

Posted about 14 hours ago

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🔥 Enterprise Architect – GridOS Distributed Energy Resource Management System (DERMs)

Posted about 15 hours ago

📍 Australia

🔍 Utilities

🏢 Company: vernova_externalsite

🔧 Requirements

10+ years in enterprise or solution architecture in the utilities, OT, or critical infrastructure domain.
Strong hands-on knowledge of: Kubernetes (RKE2/AKS), Istio, Helm
Experience working in regulated industries and aligning with compliance and cybersecurity standards (ISO27001, NIST, Australian Signals Directorate)

💡 Responsibilities

Architect scalable, secure, and cloud-native GridOS solutions across DERMS and ADMS platforms.
Define end-to-end technical architecture for control systems, telemetry pipelines, and DER integration using Kafka, ActiveMQ, Helm, Istio, MinIO, and PostgreSQL.
Lead technical solutioning in pre-sales (ITO) efforts; provide expert architectural input into Statements of Work (SOWs), estimates, and delivery assumptions.

Leadership PostgreSQL SQL Cloud Computing Cybersecurity Git Kafka Kubernetes LDAP Microsoft Azure Microsoft Power BI Software Architecture ActiveMQ API testing Azure REST API Communication Skills CI/CD Problem Solving Microsoft Office Agile methodologies Mentoring Linux DevOps Terraform Compliance

Posted about 15 hours ago

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🔥 Data Engineer | Senior | Threat Intelligence | Poland remote

Posted about 15 hours ago

📍 Poland

💸 22900.0 - 29900.0 PLN per month

🔍 Threat Intelligence

🔧 Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
2+ years of experience as a Data Engineer, working with large-scale distributed systems.
Proven expertise in Lakehouse architecture and Apache Hudi in production environments.
Experience with Airflow, Kafka, or streaming data pipelines.
Strong programming skills in Python and PySpark.
Comfortable working in a cloud-based environment (preferably AWS).

💡 Responsibilities

Design, build, and manage scalable data pipelines using Python, SQL, and PySpark.
Develop and maintain lakehouse architectures, with hands-on use of Apache Hudi for data versioning, upserts, and compaction.
Implement efficient ETL/ELT processes for both batch and real-time data ingestion.
Optimize data storage and query performance across large datasets (partitioning, indexing, compaction).
Ensure data quality, governance, and lineage, integrating validation and monitoring into pipelines.
Work with cloud-native services (preferably AWS – S3, Athena, EMR) to support modern data workflows.
Collaborate closely with data scientists, analysts, and platform engineers to deliver reliable data infrastructure

AWS Python SQL Cloud Computing ETL Kafka Airflow Data engineering CI/CD Terraform

Posted about 15 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 16 hours ago

📍 United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, Ireland

🔍 Software Development

🏢 Company: Lokalise👥 101-250💰 $50,000,000 Series B over 3 years agoInformation Services Developer APIs SaaS Information Technology Collaboration Translation Service Software Cloud Infrastructure

🔧 Requirements

4+ years of experience building and operating backend systems in production
Strong proficiency with Python, FastAPI, and Pydantic
Solid understanding of microservice architecture, scalable distributed systems, and observability, with familiarity using tools like OpenTelemetry, Grafana, or Datadog to monitor both general system health and LLM-specific metrics like latency, token usage, and model performance
Hands-on experience with prompt engineering in production
Familiarity with CI/CD, containerisation, and cloud deployment
Strong sense of ownership

💡 Responsibilities

Build and own LLM-powered back end services using FastAPI, Pydantic, etc. — ensuring they are scalable, observable, and easy to extend
Design infrastructure that enables rapid experimentation with LLMs, including A/B testing, feature flagging, and usage analytics
Integrate and maintain LLM observability tooling (e.g., LiteLLM, Langfuse) to monitor quality, cost, and performance of model calls
Collaborate with Data and ML Scientists to productionize workflows, share feedback, and continuously improve experimentation speed
Ensure systems are reliable and deployable with strong CI/CD practices, including instrumentation and alerting
Contribute to team culture through pairing, mentoring, and sharing learnings to help others grow
Stay connected to the product by understanding our users' needs, localization workflows, and broader industry trends

AWS Backend Development Docker Python SQL Cloud Computing Machine Learning API testing FastAPI Grafana REST API CI/CD Microservices

Posted about 16 hours ago

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🔥 949 | Senior Backend PHP Developer

Posted about 16 hours ago

📍 Poland, Georgia, Armenia, Spain, Moldova, Republic of

🔍 Software Development

🏢 Company: Intetics👥 501-1000 IT Services and IT Consulting

🔧 Requirements

Excellent knowledge of modern versions of PHP
Experience working with relational databases
Experience maintaining applications on Linux platforms in cloud environments
Experience integrating with third-party APIs, deep familiarity with REST and the HTTP protocol
Experience being on-call and supporting the most technically difficult challenges facing customers
Background following Agile/Scrum methodologies in a professional setting
Demonstrated experience with technical troubleshooting

💡 Responsibilities

AWS Backend Development PHP Agile Cloud Computing REST API Linux Teamwork Troubleshooting

Posted about 16 hours ago

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🔥 SLED Account Executive

Posted about 17 hours ago

📍 United States

🔍 Cybersecurity

🏢 Company: Action1👥 11-50 Security Information Technology Cyber Security Software

🔧 Requirements

3+ years of successful sales experience in SLED segment, ideally in cybersecurity solutions targeting IT departments.
Expert in opportunity qualification, POC support, and deal closure.
Basic understanding of IT administration and security principles.

💡 Responsibilities

Own and exceed a personal sales quota by driving deals to closure.
Qualify and generate both inbound and outbound leads.
Conduct technical qualification to understand business and technical needs related to the Action1 product.
Deliver tailored product demonstrations, often with support from a technical product engineer.

Cloud Computing Cybersecurity RESTful APIs Account Management Sales experience Lead Generation SaaS

Posted about 17 hours ago

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