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🔥 Staff Software Engineer, Smart Trailer & Connected Equipment

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 157360.0 - 281000.0 USD per year

🔍 Software Development

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
12+ years of experience in software design, development, and algorithm related solutions with at least 4 of those years in an architect or leadership role
Demonstrated ability to ship production-quality software in a dynamic environment
Expertise working with web services at massive scale deployed on Cloud providers such as AWS or Azure
Is an expert in writing high quality, performant and maintainable code in a modern programming language
Excellent communication, collaboration, and problem-solving skills, with a demonstrated ability to manage technical discussions.

💡 Responsibilities

Bring a customer-focused mindset to all development, balancing the need to iterate quickly and deliver customer wins iteratively
Partner with the Engineering Manager to advocate for long-term technical health of our products alongside the product priorities.
Act as a force multiplier on the team by leveraging other engineers and personally exemplify how to deliver value at Samsara
Mentor other engineers by actively participating in design and implementation conversations across the team
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

AWS Backend Development Leadership Software Development SQL Cloud Computing Software Architecture Algorithms Data Structures Communication Skills CI/CD Problem Solving RESTful APIs Mentoring Microservices Teamwork

Posted about 1 hour ago

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🔥 Senior GCP DevOps Engineer (Perm, UK, Remote)

Posted about 1 hour ago

📍 United Kingdom

🧭 Full-Time

🏢 Company: Nearform

🔧 Requirements

Strong experience managing and automating cloud-based infrastructure on GCP.
Proficiency in infrastructure as code (IaC) using Terraform or CloudFormation.
Hands-on experience with containerization and orchestration tools, ideally Kubernetes (K8s).
Experience developing and maintaining CI/CD pipelines, ideally with GitHub Actions or Jenkins.
Scripting and automation expertise, preferably with Python.
Experience with observability tools and monitoring frameworks for system performance optimization.
Solid understanding of security best practices across cloud infrastructure, CI/CD pipelines, and microservices.
Excellent communication and collaboration skills.
Professional proficiency in English.

💡 Responsibilities

Developing and managing cloud-based infrastructure on GCP.
Creating and maintaining deployment architectures and continuous delivery pipelines.
Designing high-availability and fault-tolerant solutions for applications.
Implementing monitoring frameworks, including dashboards, alerts, and escalation processes.
Automating infrastructure provisioning and management using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
Managing containerized applications and orchestrating deployments using Kubernetes.
Ensuring security best practices are applied across CI/CD pipelines, cloud infrastructure, and microservices.
Optimizing system performance and scalability through observability and proactive monitoring.
Collaborating with development teams to streamline deployment workflows and improve DevOps processes.
Advising clients on best practices for cloud infrastructure, deployment automation, and system security.
Engaging in technical discussions with stakeholders and supporting project execution to ensure timely delivery.
Assisting with the analysis of client requirements.
Working with and supporting Technical Leaders in project execution and timely delivery.
Collaborating with client teams.

Python Agile Cloud Computing GCP Jenkins Kubernetes CI/CD RESTful APIs DevOps Terraform Microservices Excellent communication skills Scripting English communication

Posted about 1 hour ago

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🔥 Senior Manager, Software Engineering (Cloud Cost Management)

Posted about 2 hours ago

📍 Canada

💸 206000.0 - 256000.0 CAD per year

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity about 4 years ago🫂 Last layoff about 2 years agoLending Financial Services Payments FinTech

🔧 Requirements

10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs.
Expertise in managing large-scale, geographically distributed compute and data processing systems.
Expertise in scaling technologies like Kubernetes, Redis, MySQL, and Kafka, in cloud providers like AWS.
Capable of mentorship, cross-functional program execution, and individual contribution.
Deep experience in cloud infrastructure and a passion for leading technical teams and contributing to Open Source solutions.

💡 Responsibilities

Develop frameworks, systems, and tools to create a culture of ownership and accountability for infrastructure costs.
Collaborate with Finance and Engineering leadership to define and meet ambitious financial targets, ensuring Affirm's scalable and efficient growth.
Lead technical decisions, projects, and roadmaps within the Infrastructure team, shaping Affirm’s strategy for managing our multi-million dollar annual spend.
Drive business and engineering metrics while promoting a culture of reliability, security, and productivity.
Lead a team of engineers with empathy while fostering a high-performance, ownership-driven & inclusive culture
Collaborate with tech leads, program managers, and product managers on tools, architecture, planning, and delivery of multiple concurrent projects.
Work across the engineering organization and with internal and external partners.
Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands.
Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.

AWS Backend Development Leadership Project Management Cloud Computing Kafka Kubernetes MySQL Cross-functional Team Leadership Financial Management Redis Communication Skills Collaboration CI/CD Problem Solving Mentoring Linux DevOps Written communication Excellent communication skills Verbal communication Team management Stakeholder management Strategic thinking Software Engineering Budget management

Posted about 2 hours ago

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🔥 Lead/Principle Python Engineer for Generative AI Backend Development

Posted about 2 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 2 hours ago

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🔥 Director, Data Science (REMOTE: US)

Posted about 3 hours ago

📍 United States

💸 228100.0 - 325800.0 USD per year

🔍 Software Development

🏢 Company: Veeam Software👥 5001-10000💰 $2,000,000,000 Secondary Market 4 months ago🫂 Last layoff about 1 year agoVirtualization Data Management Data Center Enterprise Software Software Cloud Infrastructure

🔧 Requirements

Extensive experience in Data Analytics, Business Intelligence, and Reporting, with a strong focus on statistical methods
Advanced expertise in AI and Machine Learning, including model development, deployment, and designing AI-driven solutions for business processes
Proficient in technologies like Python, R, and TensorFlow, with formal training in Data Science and hands-on experience in machine learning libraries and data visualization techniques
Expertise in SQL queries, Excel, PowerPoint, and SaaS systems like Salesforce
Strong analytical skills and experience in AI-driven solutions
Experience with cloud computing platforms such as AWS, Azure, and Google Cloud
Proven ability to lead AI projects and implement innovative technologies that drive business value
Strong problem-solving skills and ability to handle complex datasets to extract actionable insights
Effective communication skills to articulate complex analytical concepts to technical and non-technical stakeholders

💡 Responsibilities

Lead and mentor a team of data scientists in developing advanced machine learning models, dashboards, and visualizations for predictive analytics and decision-making
Conduct and supervise statistical analyses and experiment-driven predictive modeling to extract actionable business insights, leveraging cutting-edge machine learning algorithms
Present analytical findings and recommendations to stakeholders and leadership, utilizing AI for enhanced data interpretation and driving strategic decisions
Identify and leverage data opportunities with cross-functional teams through AI-powered data mining techniques and unstructured problem-solving
Lead the deployment of secure, scalable data science solutions using Python, R, SQL, and AI frameworks to address complex business challenges
Implement and monitor automated anomaly detection systems using machine learning to swiftly identify and address issues
Design comprehensive experiments to validate models, ensuring robust and reliable outcomes
Drive innovation by continuously exploring and integrating new AI technologies and methodologies
Optimize operational workflows using AI and machine learning techniques, enhancing efficiency and productivity
Develop and refine complex algorithms to solve unstructured problems, applying deep learning and other advanced techniques
Ensure robust data quality and integrity with AI-driven cleaning and validation procedures
Communicate complex analytical concepts in a clear and concise manner to stakeholders, fostering understanding and collaboration across teams

AWS Python SQL Cloud Computing Data Analysis Data Mining Machine Learning Numpy Cross-functional Team Leadership Algorithms Data science Pandas Tensorflow Data visualization Data modeling Data analytics SaaS PowerPoint

Posted about 3 hours ago

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🔥 Senior Software Engineer - DevOps & Security

Posted about 3 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 3 hours ago

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🔥 Cloud Security Engineer

Posted about 3 hours ago

📍 UK

🔍 Software Development

🏢 Company: Everway

🔧 Requirements

3+ years of experience in cloud security, with a strong focus on AWS and Azure.
Deep understanding of AWS security services, including IAM, Security Hub, GuardDuty, KMS, WAF, and S3 bucket ACLs and encryption.
Strong knowledge of AWS networking security, including VPCs, security groups, VPNs, and private link services.
Strong knowledge of Azure Defender, Sentinel, and Security Center.
Hands-on experience securing serverless architecture (e.g., AWS Lambda, API gateway) and containerized environments (e.g., Kubernetes).
Experience with cloud security monitoring, SIEM, and incident response.

💡 Responsibilities

Architect, implement, and manage security controls in AWS and Azure environments to protect cloud infrastructure, workloads, and data.
Conduct threat modeling and risk analysis to identify and remediate vulnerabilities.
Securely configure and audit cloud IAM policies, role-based access control (RBAC), and implement least-priviledge principles.
Familiar with cloud native compute, storage and security services, such as AWS Security hub, GuardDuty, CloudTrail, and Azure Monitor.
Work closely with DevOps and development teams to integrate security into CI/CD pipelines and cloud-native applications.
Investigate and respond to cloud security incidents, misconfigurations, and compliance gaps.

AWS Cloud Computing Cybersecurity Kubernetes Azure CI/CD Linux DevOps Terraform Networking

Posted about 3 hours ago

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🔥 AI Engineer

Posted about 3 hours ago

📍 Portugal

🔍 Software Engineering

🏢 Company: Broadvoice

🔧 Requirements

Master’s in Artificial Intelligence, Computer Science, Data Science, or a related field (or equivalent experience).
Proven experience working with LLMs, NLP and machine learning.
Strong experience with Node.js (JavaScript/TypeScript) and working with RESTful APIs and WebSockets.
Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) methodologies.
Experience with fine-tuning and deploying models in cloud environments (AWS, Azure, or GCP) is a plus.
Passion for exploring and implementing the latest advancements in AI and LLMs.
Critical thinking and problem-solving mindset.
Strong communication skills.

💡 Responsibilities

Research and experiment with LLMs (e.g., OpenAI, Anthropic, Mistral, Llama) to identify potential applications in automation, customer interactions, and internal processes.
Develop and fine-tune LLM-powered solutions, focusing on areas such as chatbots, intelligent assistants, and knowledge retrieval.
Apply prompt engineering techniques to improve model performance for Broadvoice’s use cases.
Explore and implement retrieval-augmented generation (RAG) approaches, integrating LLMs with structured company knowledge bases.
Collaborate with engineering and product teams to integrate AI-powered features into Broadvoice’s products and services.
Stay updated on emerging AI trends and assess third-party AI tools that could accelerate development.

AWS Node.js Artificial Intelligence Cloud Computing GCP Machine Learning Azure RESTful APIs

Posted about 3 hours ago

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🔥 Engineering Manager I - Marketing Automation

Posted about 4 hours ago

📍 North America

🧭 Full-Time

🔍 Marketing Automation

🔧 Requirements

At least 2 years of leadership experience, including people management
Proven track record of delivering results and leading growing, high-impact teams
Prior experience working on email marketing automation is an asset
In-depth experience with JavaScript or Typescript, CSS, HTML
Experience working with React.js and Redux
At least 5 years experience of software development in web technologies and architecting scalable systems in a successful high-growth technology company
Experience with a Ruby on Rails backend is a plus
A strong understanding of computer science fundamentals (we have not forgotten our basics!) - data structures, system design, cloud computing, full-stack development etc.
Passion to build a positive and fun engineering culture

💡 Responsibilities

Leading a team that builds solutions to help customers create and manage marketing automation campaigns
Hire and mentor a new team of full-stack engineers across different levels of seniority
Lead a high performance team that executes against their roadmap while following agile best practices
Work closely with Product Managers and Designers to ensure requirements and priorities align
Promote software development best-practices and conduct rigorous code reviews
Plan ahead and architect scalable web APIs, component library and backend systems
Rigorously identify and solve technical challenges
Conduct interviews to attract and identify potential high performing candidates
Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved
Write code as needed, such as those involving issue resolution and low-effort high-impact items

AWS Backend Development GraphQL Leadership Software Development Agile Cloud Computing Full Stack Development HTML CSS Javascript People Management React.js Ruby on Rails Software Architecture TypeScript Data Structures Go Redux CI/CD RESTful APIs

Posted about 4 hours ago

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🔥 Principal Consultant – Microsoft Defender/Intune | Remote, USA

Posted about 5 hours ago

📍 United States

🔍 Software Development

🏢 Company: Optiv_Careers

🔧 Requirements

Expertise with implementation, administration, and maturation of Endpoint Detection and Response (EDR) Mobile Device Management (MDM) and Application Control technologies
Primary Expertise with Microsoft Defender and Intune (Microsoft On-Prem Services and Cloud Services)
Experience with CrowdStrike, SentinelOne, Tanium
Very knowledgeable of multiple security concepts and methods such as vulnerability assessments, data classification, privacy assessments, incident response, security policy creation, enterprise security strategies, architectures and governance.
Strong understanding of networking (TCP/IP, OSI model), operating system fundamentals (Windows, UNIX, mainframe), security technologies (firewalls, IDS/IPS, etc.) and application programming/scripting languages (C, Java, Perl, Shell).
Strong understanding of regulatory requirements and compliance issues affecting clients related to privacy and data protection, such as PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border, and U.S. State Data Privacy Laws.
Technical architecture experience integrating data protection software into clients' infrastructure; network architecture design, implementation and administration.

💡 Responsibilities

Work with customers to help them articulate their business requirements and how those requirements translate into security features and functionality.
Architect solutions to ensure that the customer's risk transformation requirements are met.
Assist with development of cyber engagement plans for customers which will enable them to execute upon strategies.
Rationalize different security solutions against requirements, risk, and constraints.
Undertake Threat, Vulnerability and Risk analysis methodologies/techniques and the interpretation/application of their output in the definition of Security Architectures.
Able to deliver and lead other consultants in complex projects
Able to present to large groups. Speaks as an authority.
Can handle difficult questions and consistently wins support from client audiences.

Cloud Computing Cybersecurity Microsoft Active Directory Microsoft Azure Communication Skills Analytical Skills Presentation skills Compliance Networking Risk Management Scripting

Posted about 5 hours ago

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