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🔥 Staff, Software Engineer

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 140000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: Seeq👥 101-250💰 $50,000,000 Series D 10 months agoIndustrial Internet of Things Analytics Commercial Software

🔧 Requirements

10 years of professional experience in software development
Experience with cloud platforms and technologies, like AWS, Azure, or GCP
Demonstrate a strong understanding of software design principles, patterns, and best practices

💡 Responsibilities

Lead the design and development of complex software systems
Mentor and coach junior engineers, guiding them in best practices and helping them grow their skills
Be a technical leader, driving innovation and spearheading the implementation of new technologies and frameworks

AWS Backend Development Leadership Python Software Development Agile Cloud Computing Design Patterns Java Javascript SCRUM TypeScript C#Algorithms Data Structures REST API React Communication Skills Collaboration CI/CD Problem Solving Mentoring Attention to detail Software Engineering Data analytics Debugging

Posted about 1 hour ago

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🔥 Supply Chain Implementation Consultant

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 70000.0 - 100000.0 USD per year

🔍 Supply Chain

🏢 Company: Lyric

🔧 Requirements

0 to 2 years of experience in consulting, operations, customer success, or related analytical roles
Bachelor’s degree in a technical or analytical field; backgrounds in industrial engineering or operations research strongly preferred
Strong verbal and written communication skills
Highly coachable, with excellent organizational and time management abilities
Enthusiasm for learning supply chain concepts and enterprise planning workflows
Ability to thrive in a dynamic, fast-paced environment

💡 Responsibilities

Lead Lyric 101 training sessions and onboarding workshops for new customer teams
Maintain and improve onboarding collateral and the customer training hub
Partner with Technical Account Managers (TAMs) to deliver a seamless onboarding experience for every new customer
Support the development of scalable onboarding practices across the Customer Success team
Provide hands-on support for active implementations, including data validation, scenario testing, and documentation
Assist with the transition from onboarding to ongoing delivery by supporting core implementation tasks
Collaborate with cross-functional teams including Professional Services, Product, and Support

SQL Data Analysis Algorithms Customer Success

Posted about 1 hour ago

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🔥 Backend Software Engineer (Remote)

Posted about 6 hours ago

📍 United Kingdom, Ireland

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems).
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you.
Solid understanding of distributed systems and scalability challenges.
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

💡 Responsibilities

Design, develop, document, test, deploy, maintain, and enhance large scale services.
Take ownership and be accountable for deliverables.
Triage system issues and debug by analyzing the sources of issues and the impact on service operations.
Mentor other engineers on web and backend engineers on use of our feature services.
Constantly re-evaluate our products to improve architecture, testing coverage, knowledge models, user experience, performance, observability and stability.
Partner with product teams in understanding their needs, work with PM to document the new requirements, and implement those new features within our feature services

AWS Backend Development Python Software Development Git Kafka Kubernetes Algorithms API testing Cassandra Data Structures Go Postgres Redis CI/CD RESTful APIs Linux DevOps Microservices Software Engineering

Posted about 6 hours ago

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🔥 Lead Machine Learning Infrastructure Engineer - Infrastructure & Data

Posted about 6 hours ago

📍 United States

🧭 Full-Time

💸 185500.0 - 293750.0 USD per year

🔍 Software Development

🔧 Requirements

Strong technical expertise in designing and building scalable ML infrastructure.
Experience with distributed systems and cloud-based ML platforms.
Proficiency in programming languages such as Python, Java, or Scala.
Deep understanding of ML workflows, including data pipelines, model training, and deployment.
Passion for innovation and eagerness to implement the latest advancements in ML infrastructure.
Strong problem-solving skills and ability to optimize complex systems for performance and reliability.
Collaborative mindset with excellent communication skills to work across teams.
Ability to thrive in a fast-paced, dynamic environment with evolving technical challenges.

💡 Responsibilities

Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
Develop and maintain frameworks, libraries, and tools that streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
Stay current with advancements in machine learning infrastructure, distributed computing, and cloud technologies, integrating them into our platform to drive innovation.
Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

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

Posted about 6 hours ago

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🔥 Forward Deployed Engineer - Architect

Posted about 9 hours ago

📍 USA

🔍 SaaS

🏢 Company: DevRev👥 251-500💰 $100,825,173 Series A 10 months agoDeveloper Platform Customer Service CRM Artificial Intelligence (AI)Developer APIs Software

🔧 Requirements

3+ years in software development, AI/ML engineering, or technical consulting.
Strong proficiency in Python and/or Golang.
Familiarity with large language models (LLMs), prompt engineering, and frameworks like RAG and function calling.
Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observability).

💡 Responsibilities

Design & Deploy AI Agents
Integrate Systems
Optimize Performance
Own Requirements
Prototype & Iterate
Lead Execution
Advise Customers

AWS Docker Python Software Development Cloud Computing Data Analysis GCP Kubernetes Machine Learning Algorithms API testing Azure Data engineering Communication Skills CI/CD Customer service RESTful APIs DevOps SaaS

Posted about 9 hours ago

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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)

Posted about 18 hours ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Solid understanding of the engineering challenges of deploying machine learning systems to production;
Solid understanding of systems, software and data engineering best practices;
Proficiency with cloud-based services;
Proficiency in Python or another major programming language;
Have experience building backend systems, event driven architectures and rest/http applications
Have experience building solutions with LLMs (RAG, fine-tuning);
Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
Experience leading teams and managing careers.

💡 Responsibilities

Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
Be a technical reference to the team, including doing hands-on engineering work.
Shaping the technical direction of our products, translating business requirements into solutions.
Discuss business requirements with the Product Manager and other stakeholders.

AWS Backend Development Docker Leadership Project Management Python Software Development SQL Artificial Intelligence Cloud Computing Kubernetes Machine Learning Software Architecture Algorithms Data engineering Data science Data Structures REST API Communication Skills CI/CD Agile methodologies RESTful APIs Excellent communication skills Problem-solving skills Team management Technical support Data modeling

Posted about 18 hours ago

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🔥 AI Software Engineer

Posted about 18 hours ago

📍 US, Canada, & Latin America

🧭 Full-Time

💸 105000.0 - 140000.0 USD per year

🔍 Software Development

🏢 Company: Superhuman

🔧 Requirements

You have 3-6+ years of software engineering experience, with 2+ years of AI-focused work.
You’re an expert in backend technologies such as Go or Python.
You have expertise in AI technologies such as working with ML models, LLMs, NLPs, fine-tuning, etc.
You have a strong foundation in software engineering principles that prioritize high-quality, maintainable code that adheres to best practices.
You're able to identify problems, propose solutions, and make informed decisions to drive forward our AI efforts.
You're comfortable dealing with ambiguity and can think critically to make decisions that benefit the company and our users.
You have a deep understanding of hosted and open-source models and algorithms.
You can leverage, implement, and optimize these models to solve complex problems and deliver value to our users.

💡 Responsibilities

Successfully implement AI features that enhance user experience and drive user engagement
Ensure all AI code released is robust, scalable, and maintainable
Stay at the forefront of AI technology and research, integrating relevant findings and technologies into our systems
Foster cross-functional collaboration, ensuring AI solutions align with overall company goals
Uphold ethical AI practices, ensuring our AI initiatives are responsible and respectful of user privacy

Backend Development Python Artificial Intelligence Machine Learning MLFlow Numpy Algorithms Go Tensorflow Software Engineering

Posted about 18 hours ago

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🔥 IT Content Author

Posted about 19 hours ago

📍 United States

💸 74300.0 - 106567.0 USD per year

🔍 IT

🏢 Company: wiley_careers

🔧 Requirements

Typically has MS/PhD or equivalent experience to demonstrate subject matter expertise
Typically has at least 2 years teaching experience, usually more
Acts as a resource for colleagues with less experience
Requires in-depth knowledge and experience
Uses best practices and knowledge of internal or external business issues to improve processes
Solves complex problems; takes a new perspective using existing solutions
Works independently, with guidance in only the most complex situations
Progression to this level is typically restricted to selected job families based on business requirements

💡 Responsibilities

May train/mentor for new authors in discipline
Authors sections, CA’s, labs, and other content types independently.
Takes ownership of assigned projects/titles.
May serve as a lead author on one or more titles
May maintain backlog of improvements for given titles and contributes strategy and roadmap ideas to leads or Senior Managers.
Responsible for ensuring quality of their projects/titles along with the project manager.
May speak at conferences; publish research papers, articles and blog posts.
Define and implement auto-generated and auto-graded homework assignments
Maintain and improve existing content
May collaborate with colleagues on the development team to define and develop interactive tools
Collaborate with colleagues in Marketing and Sales to assist with demos, respond to instructor feedback, assist with special requests, and more
May work with project managers to oversee external authoring projects (evaluate project proposals, train external authors to utilize the zyBooks platform, review content to ensure quality and adherence to zyBooks' authoring guidelines)

Python HTML CSS Java Javascript C++Algorithms Content creation Content management Data science Data Structures CI/CD RESTful APIs Data visualization Debugging

Posted about 19 hours ago

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🔥 Principal Data Scientist - Pharma Media

Posted about 19 hours ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50 Digital Marketing Advertising Digital Media Consulting

🔧 Requirements

Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
5+ years of analytics experience
Minimum of 4 years’ hands-on experience in machine learning and relational databases.
Proficient in data manipulation using SQL, Python, and/or similar programming languages.
Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
Strong project-management skills managing cross-functional workflows.
Proven ability to build and maintain client relationships.

💡 Responsibilities

Mentor data scientists, fostering collaboration and professional growth.
Develop and execute a data-science strategy aligned with company objectives.
Design, implement, and optimize predictive models and machine-learning algorithms.
Partner with software engineers, product managers, and business units to deliver client-facing solutions.
Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
Manage model lifecycle: design, training, evaluation, validation, and deployment.
Translate complex analytical results into clear business recommendations and compelling visualizations.
Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
Analyze digital trends, user behavior, and product performance.
Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
Support measurement strategies, including learning agendas, test plans, and frameworks.
Collaborate regularly with stakeholders to address digital data needs and challenges.
Educate research and business teams on data-best practices and infrastructure.

Python SQL Data Analysis Machine Learning Snowflake Algorithms Data science Data visualization Data modeling

Posted about 19 hours ago

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🔥 Sofware Engineer, Account Integrity Team, Trust & Safety BE (Open to remote across ANZ)

Posted about 19 hours ago

📍 Australia, New Zealand

🧭 Full-Time

🔍 Trust and Safety

🔧 Requirements

Three-plus (3+) years of commercial experience developing complex applications in Java
Collaborative mindset and the ability to communicate effectively with teammates
Strong fundamentals in computer science and engineering, including concurrency, multithreading, data structures, and solution design
Experience designing, building, and maintaining high-performance, large-scale Java backend systems
Problem-solving mentality and a passion for finding innovative solutions

💡 Responsibilities

Collaborate with various specialties in the team, FE, BE, MLE, and PM to design, plan, build, and maintain features owned by the Account Integrity team
Work with various teams across Trust and Safety to understand and solve Trust and Safety challenges across Canva
Contribute to long-term strategies and roadmaps for Trust and safety challenges
Communicating with stakeholders to assess requirements, align timelines, and optimise for customer value.

Backend Development Java Spring Spring Boot Algorithms Data Structures Communication Skills CI/CD Problem Solving RESTful APIs Microservices Software Engineering

Posted about 19 hours ago

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