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🔥 Major Incident Manager

Posted 31 minutes ago

📍 Poland

🧭 Full-Time

🔍 Cloud Implementation

🏢 Company: Nordcloud👥 1001-5000💰 $22,530,997 Series A about 6 years agoInformation Services Cloud Computing Software

🔧 Requirements

Has excellent verbal and written communication skills both with technical and non-technical stakeholders
Excellent analytical skills to diagnose and help resolving complex incidents
Is self-driven and able to work with no/limited supervision
Has Strong attention to detail
Has strong analytical and problem-solving skills
Able to work under the time pressure
Fluent communication skills in English

💡 Responsibilities

Serve as the primary point of contact during major incidents, ensuring timely and clear communication
Identification and assessment of major incidents within a cloud environment
Conduct initial analysis to determine potential root causes using monitoring tools and logs
Assess the impact of incidents on business operations, users, and services
Develop and implement a communication plan, providing regular updates to stakeholders
Manage the escalation process, involving appropriate technical teams and management
Coordinate with third-party vendors or cloud service providers when necessary
Oversee the execution of the resolution plan, ensuring that all resources are effectively utilized
Implement workarounds if needed and monitor the progress towards full resolution
Document the incident, including the cause, resolution steps, and lessons learned
Schedule and lead post-incident reviews to identify improvement opportunities
Contribute to refining the incident management process based on feedback and analysis
Stay updated on best practices in cloud incident management and incorporate them into the process
Contribution to GCOC development and continuous improvement by sharing practices and technical knowledge

AWS Cloud Computing GCP Kubernetes Azure Serverless Communication Skills Analytical Skills CI/CD Problem Solving DevOps Documentation Troubleshooting English communication

Posted 31 minutes ago

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🔥 Backend Team Lead - remote friendly

Posted about 2 hours ago

📍 Germany, France, Italy, Serbia, Portugal, Spain

🔍 Software Development

🔧 Requirements

Strong experience as a software engineer
Exposure to architectural patterns of large, high-scale web applications
Fluent in English

💡 Responsibilities

Manage a team of 3 to 5 Backend Engineers
Provide regular feedback to your team members through 1-on-1s and quarterly progress reviews
Foster the professional and technical growth of your teammates through mentorship, pairing, and delegation
Build a collaborative, inclusive, and supportive team culture and make Qonto shine
Conduct interviews to hire new team members
Work with engineering, product and design leads to define a vision and strategy for your cross-functional team
Drive the delivery of your cross-functional team to meet business objectives
Establish and use the best engineering practices to ensure high quality
Design, build, test, document, run, review and maintain code in Golang, Python, or Ruby
Maintain our high level of quality through strong testing methodologies, documentation, pairing, and learning
Help scale our backend code base while maintaining our strong engineering culture
Support a critical service used by tens of thousands of users daily

AWS Backend Development Docker Leadership PostgreSQL Python Software Development SQL Agile Design Patterns Git Kubernetes Ruby SCRUM Software Architecture Cross-functional Team Leadership API testing REST API Communication Skills CI/CD Mentoring Microservices Problem-solving skills Team management

Posted about 2 hours ago

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🔥 Site Reliability Engineer

Posted about 2 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: TCGPlayer_External_Career

🔧 Requirements

5+ years of experience in Site Reliability Engineering or related roles
Experience with an enterprise monitoring solution (New Relic, Scalyr, Datadog, Etc)
Experience managing Linux and/or Windows environments
Experience with IaaS and PaaS solutions (i.e. AWS, GCP, Azure, etc.)
Experience with Infrastructure as Code (Terraform or Helm)
Knowledge of Kubernetes / ECS orchestration, and containerization (e.g. Docker)
Demonstrable expertise around specifying, designing and/or implementing system health, performance monitoring tools and software management tools for 24x7 environments
Proficiency in writing code / scripts to automate tasks
Excellent critical thinking and solving skills

💡 Responsibilities

Innovate, build, and evangelize the practice of site reliability so that TCGPlayer can deliver excellent customer experiences.
Define and measure key performance metrics, such as SLAs and Mean Time Between Failures (MTBF), using those metrics to identify trends and measure the impact on the business.
Develop and maintain up-to-date operational procedures, including runbooks, to adapt to evolving needs.
Anticipate system failures through practices like chaos engineering and tabletop exercises, and establish processes to learn from operational incidents.
Foster strong relationships within the team and across departments while cultivating a communicative, supportive, and results-oriented culture.

AWS Docker Cloud Computing GCP Kubernetes Azure CI/CD RESTful APIs Linux DevOps Terraform Microservices Scripting

Posted about 2 hours ago

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🔥 Manager, DevOps and Security

Posted about 3 hours ago

📍 Canada

🧭 Full-Time

💸 175000.0 - 200000.0 CAD per year

🔍 Software Development

🏢 Company: Procurify

🔧 Requirements

5+ years of DevOps, Security, DevSecOps experience, shipping and supporting enterprise grade software in AWS
Experience managing a team of engineers and growing leadership on the team
Building a product at scale on top of AWS
Experience running a containerized application in Kubernetes
Experience working with SIEM tools
Deep knowledge of continuous integration and deployment tools and practices using tools like CircleCI and/or ArgoCD
Managing a web-based SaaS application collaboratively with application engineering teams
Experience with developing and managing infrastructure as code with Terraform
Expert knowledge of monitoring stacks like EFK, Grafana/ Prometheus
Experience working in a highly secure environment with compliance requirements such as SOC 2 or ISO27001
Strong communication and consensus building skills
Demonstrated track record of leaving every team and process better than you found it

💡 Responsibilities

Managing 4-8 DevOps, Security, and Site Reliability Engineers.
Working on a world-class tech stack that will support the company’s growth
Working with engineering teams to shift security left in the software development cycle and helping us create security-as-code.
Growing a culture of security-first thinking and helping grow security leadership across the organization
Managing our security incident response team to ensure prompt and thorough responses for ourselves and our customers
Operating our Security information and event management system to manage threats to Procurify
Collaborating with leadership roles across our engineering organization to support DevSecOps best practices and to enable those teams to own their own infrastructure. We use Terraform Cloud to help facilitate this for our teams.
Joining annual hackathons and immersing yourself in all things fintech innovation.
Rotating between projects and committing to continuous learning with our lean kanban processes.
Helping your team build relationships across functions with Development, Product, Operations, Support and other teams to ensure Procurify's continuing success.
Articulate and quantify cybersecurity risks through comprehensive metrics, ensuring effective communication to leadership for informed decision-making.

AWS Python AWS EKS Bash Kibana Kubernetes REST API CI/CD Linux DevOps Terraform Compliance JSON Ansible

Posted about 3 hours ago

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🔥 Engineering Manager

Posted about 3 hours ago

📍 Argentina

🧭 Full-Time

🔍 Software Development

🏢 Company: Harness

🔧 Requirements

Experience managing an engineering team, with a strong focus on people development.
Background in engineering leadership, with hands-on experience in software development (coding is not required but valued).
Knowledge of Agile methodologies and experience running sprints.
Ability to prioritize and manage both engineering and business-driven initiatives.
Strong collaboration skills with Product teams and other stakeholders.
Experience with feature flagging is a plus but not required.

💡 Responsibilities

Lead and support a team of engineers, focusing on their growth and development.
Work closely with Product to prioritize initiatives, balancing business needs with engineering-driven improvements.
Drive execution by ensuring clear goals, efficient sprint planning, and strong team collaboration.
Ensure alignment between engineering efforts and business priorities.
Foster a culture of accountability, quality, and continuous improvement.
Provide technical and process guidance, ensuring best practices in development and Agile methodologies.
Onboard new engineers and help integrate them into the team’s mission and workflows.

AWS Backend Development Leadership PostgreSQL Project Management Python Software Development SQL Agile Frontend Development GCP Kubernetes People Management Product Management Cross-functional Team Leadership Communication Skills Analytical Skills Collaboration CI/CD Agile methodologies RESTful APIs Mentoring DevOps Microservices Team management Technical support NodeJS Software Engineering Data management Debugging

Posted about 3 hours ago

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🔥 Data & AI Engineer (Frankfurt, Germany)

Posted about 5 hours ago

📍 Germany

🔍 AI and data analytics consulting

🏢 Company: Unit8 SA

🔧 Requirements

MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
Proficient software engineer who has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
Proficient in one of the following languages: Python, Scala, Java.
Experience with cloud technologies is a strong plus.

💡 Responsibilities

Work with our customers to understand their challenges, design and implement solutions.
Closely collaborate with other data scientists, software engineers and business stakeholders.
Evaluate, compare and present results to technical and non-technical audience.
Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
Implement best practices in CI/CD

AWS Docker Python SQL Cloud Computing Data Analysis ETL Java Kubernetes Machine Learning Algorithms Data engineering Data science Spark CI/CD RESTful APIs Scala Software Engineering

Posted about 5 hours ago

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🔥 Technical Operations Engineer

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

2+ years in a TechOps, IT, Engineering, or DevOps role
Proficiency in Python or JavaScript plus basic software engineering knowledge
Strong SQL skills and knowledge of database technologies
Experience working with APIs
Experience with automation tools like Cypress or similar
Experience with version control and CI/CD pipelines
Experience working with AI and LLMs
Familiarity with macOS and IT management
Familiarity with monitoring tools such as Datadog and Sentry
Familiarity with cloud platforms such as AWS, Azure, or GCP
Familiarity with containerization and orchestration tools such as Docker and Kubernetes
Understanding of networking concepts, including TCP/IP, DNS, and load balancing

💡 Responsibilities

Write code and tools to streamline operations
Act as a primary responder to technical incidents
Support internal IT processes
Monitor system performance
Ensure systems adhere to security best practices
Work closely with Engineering, Customer Support, and Product teams
Maintain comprehensive documentation

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Javascript Kubernetes API testing Communication Skills Analytical Skills Collaboration CI/CD Problem Solving RESTful APIs DevOps Written communication Networking

Posted about 5 hours ago

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🔥 Senior Platform Engineer, Machine Learning

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Audit and advisory industry

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systems
Experience with ML frameworks
Experience with cloud platforms, preferably AWS
Experience with container runtime architectures, preferably Kubernetes
Proficiency with at least one programming language, preferably Python or Typescript
Familiarity with CI/CD practices and tools
Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
Strong understanding of distributed systems and microservices architecture
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Design and implement infrastructure for ML model management, including training, deployment, and monitoring
Build and maintain platforms for running ML algorithms at scale
Develop systems for A/B testing, performance monitoring, and continuous model training
Create and manage ETL infrastructure to support ML workflows
Implement best practices for MLOps, including version control for models and datasets
Collaborate with ML Engineers to optimize model performance and resource utilization
Ensure the scalability, reliability, and security of ML systems
Stay current with the latest advancements in MLOps and cloud technologies
Contribute to the development of internal tools and frameworks to improve ML workflow efficiency
Be an essential technical contributor at a Series B-stage company as it scales

AWS Docker Python Cloud Computing ETL Kubernetes Machine Learning CI/CD Terraform Microservices Software Engineering

Posted about 5 hours ago

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🔥 Enterprise Solution Architect

Posted about 5 hours ago

📍 United States

🔍 Microsoft Cloud Solutions

🏢 Company: HSO👥 1001-5000 Information Technology

🔧 Requirements

7+ years of experience in selling Microsoft Cloud Solutions
At least one implementation with documentation in the role of Enterprise Architect implementing Microsoft solutions such as Azure, Data, AI/ML, etc
Expert level in at least one core area of Microsoft solutions with broad understanding of all the elements of the Microsoft technology platform
Experience with Infrastructure as Code (IaC) tools like Terraform or BiCep templates
Experience in specific industries (e.g., healthcare, finance, manufacturing)
Excellent presentation and demonstration skills
Demonstrated experience in customer-facing consulting roles interacting with IT-leaders, product owners, C-level, Executive Sponsors, and business users
Prior consulting, business analyst, implementation, or product support experience required, specifically relating to Microsoft Business Solutions
Prior sales experience selling Enterprise Solutions, such as data analytics and AI/ML solutions on Azure
Ability to thrive in a dynamic and entrepreneurial environment and to work with a team
Ability to travel 30% or more
Degree in Business, Computer Science, Engineering or a related discipline or equivalent education

💡 Responsibilities

Design and architect comprehensive Microsoft Cloud solutions that meet client requirements and align with best practices
Maintain deep expertise in Microsoft Cloud services, including infrastructure, platform, security, IAM, data, AI, ML, modern workplace, application modernization
Develop and cultivate the relationship between HSO and clients through discovery meetings, whiteboarding sessions, and technical analysis, positioning HSO as an effective partner in uncovering realistic solutions to our clients’ needs
Work with prospects and clients to determine the scope of work, and technology approaches, to create an overall enterprise architecture
Provide supplementary details such as proof-of concepts or demonstrations, pre-sales collateral, presentations, case studies, and demos that validate client’ strategic vision, business requirements, and objectives to create a compelling value proposition that supports decision-making
Assist in the development of Microsoft-based capabilities for clients: outlining not only best practices and technical innovations, but also showing how it can be optimized to meet our clients' business needs
Define stakeholder breadth and engagement, meeting key decision makers at their level: from architectural and solution scoping to developing a technology strategy that aligns with the organization's broader financial goals
Apply your industry or product knowledge to communicate understanding of the environment or industry in which the client operates, unique needs, or constraints/opportunities of the legacy landscape
Act as a trusted advisor to clients, understanding their business needs and technical requirements.Drive value-based recommendations
Conduct discovery workshops and technical assessments to gather information and identify opportunities
Deliver compelling presentations and demonstrations of Microsoft Cloud solutions to clients at all levels
Developing detailed proposals, SOWs, and cost estimates using our defined tooling process
Using a consultative approach to drive HSO business
Responding to RFPs and RFIs with accurate and compelling technical information
Collaborating closely with clients, stakeholders, and internal teams to capture the clients’ overall strategic visions, matching up the technology to the requirements
Working closely with clients to understand their business needs and helping them to implement it into scalable, efficient, and effective solutions
Assessing the feasibility of new processes or technologies within a business, making appropriate technology choices for the customer to support the architectural requirements and principles
Collaborating with multiple internal and external stakeholders simultaneously including sales teams, practice leads and delivery teams
Understanding the full range of the landscape in which the client operates (business, geography, regulatory, etc.) and be able to use this in the definition and validation of the architecture
Staying updated on the latest trends, advancements, and competitive landscape within the Microsoft ecosystem

SQL Business Analysis Business Intelligence Cloud Computing Kubernetes Microsoft Active Directory Microsoft Azure Microsoft Dynamics Microsoft Exchange Microsoft .NET Microsoft Power BI Microsoft SQL Server Software Architecture Azure CI/CD RESTful APIs Terraform Microsoft Office Suite Sales experience Data modeling Data analytics Data management

Posted about 5 hours ago

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🔥 Machine Learning Engineer (LLMs)

Posted about 6 hours ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

3+ years experience with deployment and maintenance of Machine Learning models in production
Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs)
Strong command of writing production-level code in Python, with a focus on best engineering practices, in particular for training & deploying models.
PyData stack along with quick frontend frameworks e.g. streamlit.
Proven expertise in Cloud Computing (preferably AWS and services like IAM, EC2, S3, ECR, EKS, Redshift, Athena, Glue, Lambda, SecretManager) for storage, data pipelines, ML pipelines, and ML deployment.
Machine Learning frameworks such as: Tensorflow, PyTorch, JAX, scikit-learn, Transformers (HuggingFace).
Proven track record of development of data and machine learning pipelines.
Knowledge of Linux/Unix system, shell scripting.
Parallel computing (multi-processing, async, GPUs, types of AI parallelism).
Culture of DevOps and high-quality software standards.
Fluency in English.

💡 Responsibilities

Operationalization of Machine Learning Models
Orchestration of the entire ML model lifecycle, from development and deployment to monitoring, maintenance, and optimization ensuring scalability, efficiency, and reliability.
Implementation of automated workflows for model retraining, versioning, and performance tracking to ensure long-term stability.
Transformation of Machine Learning artifacts into production systems and services maintaining robust integration with existing engineering infrastructure.
Tooling, Infrastructure & Experimentation Support
Design and implementation of tools, frameworks, and infrastructure to enhance efficiency of Data Scientists and other stakeholders simplifying areas such as model training and evaluation, data annotation, and processing.
Working with large-scale datasets in structured and ad-hoc exploratory setups to support both creation of well-organized data pipelines and rapid experimentation and prototyping.
Supporting Technical Lead and Data Scientists in refactoring and optimizing research code, ensuring high-quality, reusability, and scalability of delivered solutions bridging the gap between AI experimentation and real-world deployment.
Continuous Learning
Staying up to date with cutting-edge advancements in AI technology, including state-of-the-art models, algorithms, tools, and frameworks (both models/algorithms and tools/libraries/SaaS/APIs, etc.).
Exploring opportunities to incorporate new methodologies, libraries, and services that enhance Brainly’s AI capabilities.

AWS Python SQL Bash Cloud Computing Kubernetes Machine Learning PyTorch Data science REST API Tensorflow CI/CD Linux DevOps Microservices

Posted about 6 hours ago

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