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🔥 Senior Frontend Engineer, (100% remote-friendly within Poland)

Posted about 2 hours ago

📍 Poland

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5 years of experience working on web applications.
Worked with JavaScript ES6, TypeScript, and Vue.
Experience with libraries to manage the state of the application.
Used to working with tools such as GIT, SASS, Yarn 3, Webpack, Docker, Vite, and NPM on a daily basics.
Experience in programming unit, component, and integration tests with Jest.
Practical knowledge of frontend architectures.
Used to working in a high-autonomy and responsible environment.
Care about product management and understanding user needs.
Can communicate in English – both spoken and written - min. B2 level.

💡 Responsibilities

Collaborate actively in the design of new features by understanding the user problem, making proposals, and taking care of the user experience.
Lead the implementation of new functionalities by programming, testing, deploying, and monitoring to ensure high-quality results.
Participate in initiatives outside the team and have a global impact on the company.
Be a role model in terms of responsibility, initiative, collaboration, and continuous improvement.
Help others to grow actively.

Docker Es6 Frontend Development Git Javascript Jest TypeScript Vue.Js Yarn Communication Skills RESTful APIs

Posted about 2 hours ago

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🔥 Senior Frontend Engineer, (100% remote-friendly within Spain)

Posted about 2 hours ago

📍 Spain

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Have more than 5 years of experience working on web applications.
Have worked with JavaScript ES6, TypeScript, and you know Vue.
Have experience with libraries to manage the state of the application.
Are used to working with tools such as GIT, SASS, Yarn 3, Webpack, Docker, Vite, and NPM on a daily basics.
Have experience in programming unit, component, and integration tests with Jest.
Have practical knowledge of frontend architectures.
Are used to working in a high-autonomy and responsible environment.
Care about product management and understanding user needs.
Can communicate in English – both spoken and written - min. B2 level.

💡 Responsibilities

Collaborate actively in the design of new features by understanding the user problem, making proposals, and taking care of the user experience.
Lead the implementation of new functionalities by programming, testing, deploying, and monitoring to ensure high-quality results.
Participate in initiatives outside the team and have a global impact on the company.
Be a role model in terms of responsibility, initiative, collaboration, and continuous improvement.
Help others to grow actively.

Docker Es6 Frontend Development Git Javascript Jest TypeScript Vue.Js Yarn Communication Skills English communication

Posted about 2 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 3 hours ago

📍 Brazil, the U.S., and Canada

🧭 Full-Time

🔍 Payments

🔧 Requirements

Bachelor’s or Master’s degree in CS/Engineering/Data-Science or other technical disciplines.
Solid experience in DS/ML engineering.
Proficiency in programming languages such as Python, Scala, or Java.
Hands-on experience in implementing batch and real-time streaming pipelines, using SQL and NoSQL database solutions
Familiarity with monitoring tools for data pipelines, streaming systems, and model performance.
Experience in AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.).
Experience with CI/CD pipelines, infrastructure-as-code tools (e.g., Terraform, CloudFormation), and MLOps platforms like MLflow.
Experience with Machine Learning modeling, notably tree-based and boosting models supervised learning for imbalanced target scenarios.
Experience with Online Inference, APIs, and services that respond under tight time constraints.
Proficiency in English.

💡 Responsibilities

Design the data-architecture flow for the efficient implementation of real-time model endpoints and/or batch solutions.
Engineer domain-specific features that can enhance model performance and robustness.
Build pipelines to deploy machine learning models in production with a focus on scalability and efficiency, and participate in and enforce the release management process for models and rules.
Implement systems to monitor model performance, endpoints/feature health, and other business metrics; Create model-retraining pipelines to boost performance, based on monitoring metrics; Model recalibration.
Design and implement scalable architectures to support real-time/batch solutions; Optimize algorithms and workflows for latency, throughput, and resource efficiency; Ensure systems adhere to company standards for reliability and security.
Conduct research and prototypes to explore novel approaches in ML engineering for addressing emerging risk/fraud patterns.
Partner with fraud analysts, risk managers, and product teams to translate business requirements into ML solutions.

AWS Backend Development Docker Python SQL Amazon RDS AWS EKS Frontend Development Java Kafka Kubernetes Machine Learning MLFlow Airflow Algorithms Data engineering Data science REST API Nosql Pandas Spark CI/CD Terraform Scala Data modeling English communication

Posted about 3 hours ago

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🔥 Principal Machine Learning Scientist (UK Remote)

Posted about 3 hours ago

📍 United Kingdom

🧭 Full-Time

🔍 Education

🔧 Requirements

Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus.
A strong understanding of the math and theory behind machine learning and deep learning.
Software engineering background with at least 3-5 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review).
Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases).
An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families.
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite.
Excellent communication and teamwork skills.
Fluent in written and spoken English.

💡 Responsibilities

Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.
Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.
Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.
Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.
Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings.
Optimize models for scaled production usage.
Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners.
Write clean, efficient, and modular code, with automated tests and appropriate documentation.
Stay up to date with technology, make good technological choices, and be able to explain them to the organization.

AWS Docker Python Software Development SQL Bash Data Analysis Frontend Development Git Machine Learning Numpy PyTorch Algorithms API testing Data science Data Structures REST API CI/CD RESTful APIs JSON Data visualization

Posted about 3 hours ago

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🔥 Lead/Principle Python Engineer for Generative AI Backend Development

Posted about 4 hours ago

📍 Estonia, Romania, Poland, Hungary, Portugal, Ukraine

🧭 Full-Time

🔍 Software Development

🏢 Company: trimblecareers

🔧 Requirements

Strong proficiency in Python programming language
Minimum 6 months experience working with GenAI applications in production environment
Experience with cloud platforms (e.g Azure, AWS)
Knowledge of microservices architecture and containerization technologies (e.g., Docker, Kubernetes)
Experience with RESTful APIs and API design principles
Understanding of database management systems (e.g., NoSQL, PostgreSQL)
Proficiency with Git for version control
Version Control Systems (GitHub, managing code changes and collaborating with other team members, maintaining a history of code revisions)
Continuous Integration/Continuous Deployment (tools like GitHub Actions, integrating the automation into CI/CD pipelines)
Problem-Solving and Analytical Thinking (designing efficient automation solutions/frameworks, ability to identify and troubleshoot complex software defects)
Agile Methodologies (Scrum or Kanban, planning for iterative development cycles, manage frequent releases)
Risk Assessment and Mitigation (ability to identify and mitigate risks related to software quality, measure how well risks are documented and managed throughout the project)
Leadership and Mentoring (guiding and mentoring other engineers, providing technical expertise)

💡 Responsibilities

Architect, implement, and optimize Generative AI applications leveraging Large Language Models (LLMs).
Work with RAG frameworks
Keep track of latest research
Translate high-level product requirements into scalable, modular software designs that adhere to modern design principles, microservices architecture, and cloud-native best practices.
Develop comprehensive test suites (unit, integration, and end-to-end) to ensure code quality and ensure that automated tests cover a high percentage of the codebase.
Collaborate with cross-functional stakeholders, including business analysts, product managers, and global development teams.
Mentor junior engineers, guiding them through LLM-based solution design, implementation, and deployment.
Work in an agile environment, planning and executing sprints, meeting strict deadlines, and efficiently handling production issues across multiple time zones.
Employ CI/CD pipelines (GitHub Actions or similar) and maintain code versioning in GitHub for seamless, frequent releases.

AWS Backend Development Docker Leadership PostgreSQL Python Agile Cloud Computing Git Kubernetes API testing Azure Nosql Communication Skills CI/CD Problem Solving RESTful APIs Mentoring Microservices Teamwork Risk Management Software Engineering Data analytics

Posted about 4 hours ago

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🔥 Sr. Backend Software Developer (MarTech)

Posted about 4 hours ago

📍 Any country where we have a legal entity

💸 134400.0 - 178080.0 USD per year

🔍 Software Development

🏢 Company: Coursera Sourcing

🔧 Requirements

6+ years of experience working in a relevant software engineering role.
Expertise in designing highly scalable and performant micro-services using Spring Boot.
Experience serving as technical lead throughout the full SDLC, from conception, architecture definition, detailed design, scoping, planning, implementation, testing to documentation, delivery, and maintenance.
Exceptional analytical and problem-solving skills with a keen, inquisitive eye for detail along with a passion for high-quality standards.

💡 Responsibilities

Collaborate with internal engineering and other cross-functional teams to understand their needs and devise solutions that scale.
Work with architects and engineers to recommend, develop and review technical designs.
Lead the design, development, testing, and deployment of core service functionalities.
Mentor and guide fellow remote-first engineers to help them improve their technical ability and become more effective software engineers.
Measure your work thoroughly, analyze results, and generate hypotheses to drive new product changes through A/B testing.
Setup monitoring and testing of your APIs and services to better understand real-time health of your products.

Backend Development Docker GraphQL Software Development SQL Design Patterns Java Java EE Spring Spring Boot Data Structures gRPC REST API CI/CD Microservices Software Engineering

Posted about 4 hours ago

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🔥 Automation Infrastructure Engineer

Posted about 4 hours ago

📍 United States, Brazil, Tel Aviv

🔍 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

2+ years of experience in building and maintaining automation infrastructure, CI/CD pipelines, and related tools.
Strong proficiency in Python and PyTest for automation scripting and framework development.
Hands-on experience with Docker and Docker Compose for creating test environments and managing containers.
Strong experience with version control systems (Git, GitHub, GitHub Actions).
Proficiency in Bash scripting and a good understanding of Linux systems and terminal usage.
Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker).
Familiarity with automation tools and frameworks such as Selenium, Playwright, or similar UI testing frameworks.
Strong problem-solving skills and the ability to troubleshoot complex infrastructure issues.
Excellent communication and collaboration skills, with the ability to work with cross-functional teams.

💡 Responsibilities

Design, build, and maintain the test automation infrastructure that supports automated test execution for UI, API, Unittests and more.
Work closely with developers and QA teams to integrate automation tools into the CI/CD pipeline, ensuring automated tests run efficiently and reliably.
Manage the underlying infrastructure, including Docker, and cloud-based services, to ensure smooth operation of the test automation framework.
Create and optimize tools and scripts that facilitate the development and execution of automated tests (e.g., integrating with GitHub Actions, TeamCity, etc.).
Continuously monitor the performance of the test infrastructure, troubleshoot issues, and optimize the environment for speed and scalability.
Partner with cross-functional teams to understand testing needs and provide solutions that enable robust, scalable, and efficient test automation environments.
Promote and implement best practices for building and maintaining automation infrastructure, ensuring high standards for reliability and maintainability.

AWS Docker Python Bash Git Selenium CI/CD Linux

Posted about 4 hours ago

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🔥 Senior Software Engineer - DevOps & Security

Posted about 5 hours ago

📍 United States

🧭 Full-Time

💸 132000.0 - 172000.0 USD per year

🔍 Software Development

🏢 Company: Infinite Reality👥 101-250💰 $350,000,000 9 months agoMedia and Entertainment Web3 Metaverse

🔧 Requirements

Extensive DevOps & Security Experience: You bring 5+ years of hands-on experience in DevOps and security monitoring, with a strong focus on logging, monitoring, and incident response. Your background allows you to design, implement, and optimize observability frameworks that enhance system security and performance.
Incident Management Expertise: You have a proven track record of managing both security and operational incidents. From detection through resolution, you are adept at coordinating incident response efforts, leading post-incident reviews, and driving improvements to reduce future risks and downtime.
Scripting & Automation Skills: You are proficient in scripting languages like Python or Bash, and are passionate about automating repetitive tasks to increase operational efficiency. Your automation solutions help streamline workflows, improve response times, and reduce manual intervention.
Proficiency with Logging & Monitoring Tools: You have deep experience with tools like the ELK Stack, Splunk, Prometheus, and other observability platforms. Your expertise enables you to identify patterns, vulnerabilities, and trends in system health and security, empowering teams to act proactively.
Collaboration & Cross-Functional Teamwork: You excel at working across teams, engineering, IT, and security, helping foster a culture of observability and continuous improvement. Your ability to communicate technical concepts clearly ensures alignment across stakeholders with varying levels of technical expertise.
Strong Problem-Solving Skills: You thrive on solving complex issues, whether it’s a security breach or a system performance bottleneck. Your analytical mindset and experience with root cause analysis ensure that you can resolve problems efficiently and implement lasting solutions.

💡 Responsibilities

Design & Optimize Logging and Monitoring Systems: Lead the design and implementation of advanced logging and monitoring architectures, ensuring that system performance, security threats, and infrastructure health are captured in real-time. You will drive best practices in observability to ensure our systems are proactive, secure, and resilient.
Incident Response & Analysis: Own the full incident management lifecycle—from detection to resolution. Respond to both security and operational incidents, working across teams to minimize impact and quickly resolve issues. Lead post-incident analysis, identify root causes, and drive improvements to prevent future occurrences.
Develop Automation Solutions: Build and implement automation workflows to streamline alerting, incident detection, and response processes. You’ll reduce manual intervention and optimize workflows, helping teams respond more efficiently to system events and improve operational efficiency.
Collaborate with Cross-Functional Teams: Work closely with engineering, security, and operations teams to foster a culture of observability. Share best practices, establish clear protocols for incident detection and resolution, and ensure alignment across teams to improve overall system reliability.
Monitor Security & Operational Alerts: Establish and fine-tune alerting rules to ensure actionable, precise, and timely notifications for security and system performance events. You’ll ensure that alerts are well-defined and routed to the right teams, minimizing response time to critical issues.
Leverage Data for Continuous Improvement: Analyze logs and metrics to identify trends, anomalies, and potential security vulnerabilities. You’ll generate data-driven insights that help improve system health, performance, and security posture, contributing to ongoing process improvements.
Mentor and Coach: Provide guidance to junior engineers and colleagues, promoting best practices in monitoring, incident management, and automation. Lead by example to elevate the technical capabilities of the team and drive knowledge-sharing across the organization.

AWS Docker Python Bash Cloud Computing Cybersecurity Kubernetes Microsoft Azure API testing Azure Grafana Prometheus REST API Communication Skills Analytical Skills Collaboration CI/CD Problem Solving RESTful APIs Linux DevOps Terraform Compliance Ansible Scripting

Posted about 5 hours ago

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🔥 Staff Engineer, Cloud

Posted about 8 hours ago

📍 United States

🧭 Full-Time

💸 200800.0 - 245000.0 USD per year

🔍 Software Development

🏢 Company: Spring Health👥 1001-5000💰 $100,000,000 Series E 8 months agoMental Health Artificial Intelligence (AI)mHealth Wellness Health Care

🔧 Requirements

10+ years of overall experience , including at least 5+ years in enterprise architecture, cloud computing, and full-stack system design.
Proven expertise in architecting and scaling cloud applications.
Deep understanding of cloud-native application design, microservices, serverless, and containerization (Kubernetes, Docker, etc.).
Extensive experience in AWS (AWS GovCloud preferred), Azure, or multi-cloud strategies.
Strong background in performance optimization, distributed systems, and high-availability architectures.
Familiarity with FedRAMP, NIST 800-53, and security frameworks—not as a security architect, but as an expert in integrating compliance into scalable designs.
Experience leading large-scale technology transformations, cloud migrations, and enterprise system modernizations.
Strong ability to translate complex technical concepts into business-aligned strategies.
Ability to collaborate with cross-functional teams, executives, and federal agencies.

💡 Responsibilities

Define and evolve the enterprise architecture to support cloud-native platforms and Spring Health applications.
Architect highly scalable, resilient, and efficient cloud solutions using serverless computing, Kubernetes, microservices, and event-driven architectures.
Identify dependencies on services and third parties, which ones are critical to Spring Health services, and develop designs to upgrade or replace those so that they can meet FedRAMP compliance standards.
Optimize cloud-native workloads for cost-effectiveness, high availability, and fault tolerance.
Support multi-cloud and hybrid cloud strategies while ensuring seamless integration with government cloud environments (AWS GovCloud, Azure Government).
Guide teams in selecting best-fit technologies, frameworks, and platforms that will meet FedRAMP compliance standards.
Architect solutions that inherently meet compliance requirements (FedRAMP, NIST 800-53) without compromising performance and innovation.
Incorporate best-practice security and governance models into cloud architecture, including identity and access management (IAM), data protection, and secure APIs.
Guide engineering teams on implementing secure and compliant cloud-native services, ensuring security is embedded in architectural design rather than an afterthought.
Enable automation of compliance processes to support efficient governance, audit readiness, and continuous monitoring.
Serve as a strategic advisor to executives and cross-functional teams, translating business goals into scalable, future-proof technical solutions.
Drive cloud modernization efforts, ensuring adoption of cutting-edge AI/ML, automation, and intelligent systems.
Lead and Execute Prototyping / Proof-of-Concept (PoC) initiatives to evaluate emerging technologies for enterprise adoption.
Optimize DevOps and infrastructure-as-code (IaC) strategies, ensuring automation, scalability, security and compliance are built into architectural decisions.
Collaborate with engineering, product, data science, security and compliance teams to drive cohesive and aligned architectural strategies.
Partner with security and compliance teams to ensure governance models align with regulatory requirements while allowing for scalable innovation.
Work with federal agencies, 3PAOs, and stakeholders to ensure smooth alignment with compliance expectations.
Mentor engineering and architecture teams, fostering a culture of innovation, technical excellence, and security-aware solutioning.
Advocate for best practices in cloud computing, and enterprise-scale system design.
Continuously evaluate new tools, frameworks, and methodologies to enhance architecture efficiency and operational agility.

AWS Docker Cloud Computing Kubernetes Software Architecture Azure Serverless CI/CD DevOps Terraform Microservices Compliance Scripting

Posted about 8 hours ago

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🔥 Senior AWS DevOps Engineer (CST or EST Remote)

Posted about 8 hours ago

📍 United States

🧭 Full-Time

💸 98100.0 - 196200.0 USD per year

🔍 Software Development

🏢 Company: careers

🔧 Requirements

Experience with AWS cloud and infrastructure management
Experience with AWS services such as CloudWatch, DynamoDB, Lambda, S3, EC2 and related networking services
A strong understanding of database technologies
A strong understanding of IT Networking technologies

💡 Responsibilities

Design and enhance AWS environments for optimal performance, security, and resiliency, ensuring compliance with industry standards and certification requirements.
Develop monitoring and performance measurement tools to detect issues early and assist in troubleshooting AWS hosted environments.
Collaborate with product teams to align operational requirements with best practices for security, availability, and resilience.

AWS Docker Python AWS EKS Bash Cloud Computing DynamoDB Kubernetes Postgres CI/CD Linux DevOps Terraform Networking Ansible NodeJS

Posted about 8 hours ago

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