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🔥 Backend Team Lead - remote friendly

Posted about 4 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 4 hours ago

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🔥 Digital Production Coordinator

Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 41600.0 - 65000.0 USD per year

🏢 Company: Movement Strategy

🔧 Requirements

0-2 years of experience in a digital production coordination, media asset management, project coordination, or similar role
Basic understanding of Digital Asset Management (DAM) systems, preferably MediaValet or similar.

💡 Responsibilities

Serve as the day-to-day administrator for the MediaValet DAM platform, ensuring assets are uploaded, tagged, and organized properly.
Enforce metadata standards, taxonomy structures, and governance policies as set by leadership.
Train users on how to navigate and utilize the DAM effectively.
Conduct regular audits of the DAM to maintain organization and identify any gaps.
Assist with tracking the status of creative projects and deliverables to ensure deadlines are met.
Communicate updates and changes to stakeholders and team members as needed.
Provide general support to the creative/production teams, helping resolve minor issues as they arise.
Assist in coordinating digital production workflows to ensure tasks are completed efficiently and on schedule.
Collaborate with the team leads to track and document digital production processes, identifying areas for improvement.
Maintain and update process documentation and standard operating procedures (SOPs).
Monitor task progress and follow up with team members to ensure timely completion.
Support the Production team in vendor management, such as billing and onboarding/offboarding.
Support the onboarding of team members to digital production tools and systems, providing guidance and troubleshooting assistance.
Act as a liaison between the creative/production team and IT to ensure tools are functioning correctly and integrated into workflows.
Help develop and maintain training materials and quick-reference guides for digital production tools.
Track user access and permissions for tools and platforms, ensuring proper management.
Assists in ingesting footage and organizing.

AWS UI Design User Experience Design Project Coordination Jira Communication Skills CI/CD Agile methodologies RESTful APIs Attention to detail Organizational skills Time Management Documentation Microservices Microsoft Office Suite Adaptability Problem-solving skills Teamwork Training Troubleshooting JSON Computer skills Confluence

Posted about 4 hours ago

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🔥 Site Reliability Engineer

Posted about 4 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 4 hours ago

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🔥 Engineering Manager

Posted about 5 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 5 hours ago

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🔥 Senior Platform Engineer, Machine Learning

Posted about 7 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 7 hours ago

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🔥 Sr. Software Engineer

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 100000.0 - 150000.0 USD per year

🔍 E-commerce

🏢 Company: IPSY

🔧 Requirements

7-8 years of experience in fullstack software engineering
Strong experience diligently coding and developing front-end apps in Javascript, Next.js, ReactJS, Node.js/Java
Strong knowledge of micro-frontend architecture
Experience with composable web platforms like Netlify, Vercel
Experience with BFF Design patterns
Experience leading high-traffic, mission-critical digital products
Experience working closely with Product, as this role will participate in synthesizing both Product and Engineering perspectives into a prioritized roadmap
A creative and precise problem solver
Digital Product / UX understanding
AWS experience
Passionately worked on and driven large scale projects to completion
Familiar with databases: schema design, queries, performance

💡 Responsibilities

Develop and code in a full-stack arena using React, Next.js, Node.js, GraphQL, tRPC
Develop in micro frontend SPA architecture
Design and develop, connecting backends with frontend, using experience designing and architecturing integrations
Develop in composable web platforms like Netlify, Vercel, etc.
Lead a team and drive the implementation of architectural design solutions
Participate in the prioritization process to bring hidden technical needs to the roadmap
Translate business requirements into technical ones with very strong communication skills
Guide Junior fellows and help them develop their skills and qualities
Help the team build scalable, easy-to-maintain software to support millions of users and transactions

AWS Backend Development GraphQL Node.js SQL Design Patterns Frontend Development Full Stack Development Git Javascript React.js Next.js React Microservices NodeJS Software Engineering

Posted about 7 hours ago

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🔥 Machine Learning Engineer (LLMs)

Posted about 8 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 8 hours ago

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🔥 Senior Product Security Architect

Posted about 8 hours ago

📍 Tel Aviv, Israel

🔍 Software Development

🏢 Company: Axonius👥 600-600💰 $200,000,000 Series E about 1 year agoAsset Management Cloud Security Information Technology Cyber Security Network Security

🔧 Requirements

5+ years of hands-on experience in software engineering, with a subsequent focus on application security
Familiarity with Threat modeling models like STRIDE
Proficient in software engineering, with a preference for experience in Python, JavaScript, and Bash scripting
Familiarity with Cloud architecture like AWS, Azure,GCP
Strong understanding of Networking, Operation systems, containerization (Docker and Kubernetes)
Background in modern application security principles, especially for web applications (the OWASP Top Ten Risks and beyond)
Excellent English written and verbal communication

💡 Responsibilities

Establish and maintain set of security requirements and best practices in SDLC
Work closely with engineering teams to provide relevant security requirements and ensure that security considerations are integrated into software development projects:
Design and architect new security features for the Axonius Platform
Conduct security code reviews
Align Axonius products with recognized security benchmarks and standards within the industry
Develop supporting security tools

AWS Docker Python Bash Cloud Computing GCP Git Javascript Kubernetes OAuth Software Architecture Azure REST API CI/CD Microservices Networking Software Engineering

Posted about 8 hours ago

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🔥 Lead Machine Learning Scientist, Personalisation

Posted about 9 hours ago

📍 United Kingdom

🧭 Full-Time

💸 105000.0 - 140000.0 GBP per year

🔍 Financial Technology

🏢 Company: Monzo👥 1001-5000💰 Secondary Market 5 months ago🫂 Last layoff almost 5 years agoFinancial Services Banking Wealth Management FinTech

🔧 Requirements

Multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
Experience developing and shipping state of the art ML architectures to production and delivering business impact
Extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices

💡 Responsibilities

Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation.
Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences.
Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

Leadership Python SQL Cloud Computing Data Analysis Machine Learning Algorithms API testing Data science RESTful APIs Microservices Data modeling

Posted about 9 hours ago

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🔥 Staff Application Security Engineer - CAN

Posted about 10 hours ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: NerdWallet

🔧 Requirements

8 + years of professional experience as a security engineer, software engineer, site reliability engineer, penetration tester/ red team member, or security consultant
5+ years of experience working in Agile development, with expertise in technologies such as cloud environments (e.g., AWS), application security testing tools (e.g., SAST, DAST, SCA), infrastructure as code (e.g., Terraform), containers (e.g., Docker, Kubernetes), continuous integration (e.g., Jenkins, GitHub Actions), integration of security testing tools into CI pipelines, defect tracking (e.g., Jira), and source code management (e.g., GitHub)
Advanced knowledge of: Python, Typescript, and other languages (Go, PHP)
High-level understanding of: security weaknesses, exploits, attacks and mitigations
In-depth knowledge of common application and network protocols, cryptographic primitives, authentication and authorization protocols, as well as common security threats, including attack techniques, evasive techniques, and preventative and defensive methods
Experience leading or participating in Security Development Lifecycle Practices, Threat Modeling, Technical Design Review, and Security Code Review
Proven success as a collaborator with the ability to convey high-level security concepts to team members across the organization and technical and non-technical stakeholders at all levels

💡 Responsibilities

Ensure the timely delivery of high-priority product security initiatives
Be a strategic advisor to the Application and Product Security Program
Drive key initiatives like Supply Chain Security, Authentication, and Authorization improvements
Participate in expanding and maturing NerdWallet’s SSDLC program and its early adoption
Partner with cross-functional teams to identify product and application vulnerabilities and propose potential remediation opportunities and prioritization
Design and develop security tools and processes to be leveraged by development teams
Work closely with engineering to sustain processes or convert manual integrations to automated pipeline activities
Help build the Red Team
Be a technical mentor to junior members of the team and help develop their skills

AWS Docker Python Agile Cloud Computing Cybersecurity Javascript Jenkins Kubernetes Software Architecture TypeScript REST API CI/CD Linux DevOps Terraform Microservices JSON Software Engineering

Posted about 10 hours ago

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