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🔥 Senior Software Developer, Data Technology

Posted about 1 hour ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🔧 Requirements

A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
Experience working with message queues such as Kafka and Kinesis
Experience developing data pipelines and integrations for high volume, velocity and variety of data
Experience with data warehousing and data modeling best practices

💡 Responsibilities

Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
Implement our technical roadmap as we scale our services and build new data products
Participate in code reviews, attend regular team meetings, and apply software development best practices
Take ownership of your work, and work autonomously when necessary
Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWS PostgreSQL Python Software Development SQL Agile Apache Airflow Cloud Computing Data Analysis Data Mining ETL Java Kafka MySQL Software Architecture Algorithms API testing Data engineering Data Structures Go Serverless Spark CI/CD RESTful APIs Microservices Scala Data visualization Data modeling Data management

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🔥 Technical Presales Engineer

Posted about 1 hour ago

📍 Czech Republic

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Rossum👥 251-500💰 Debt Financing about 1 year agoArtificial Intelligence (AI)SaaS Machine Learning Document Management Software

🔧 Requirements

Experience in a customer facing role - you ran in depth technical discovery, mapped out complex customer processes and designed solutions to address their needs.
Amazing presenter, always thinking about how to pass the message in the most effective way, customizing your every presentation and demo.
Technically savvy - you can explain complex technical concepts in a simple way, making it easy for the business to understand.
Happy to hack a small script in python or play with different configuration files to achieve the best solution.
Experience with artificial intelligence or have the will and ability to learn basic concepts in AI.

💡 Responsibilities

Provide strategic technical advisory to prospects, customers, and Rossumers.
Analyze customer needs, run discovery and demonstrations, and implement an end to end proof of concept.
Be responsible for the communication between the GTM organization and the technical teams.

Python SQL Artificial Intelligence Data Analysis Machine Learning Communication Skills Analytical Skills Customer service RESTful APIs Presentation skills Sales experience Scripting Customer Success English communication

Posted about 1 hour ago

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🔥 Technical Account Manager (Remote Spain)

Posted about 1 hour ago

📍 Spain

🧭 Full-Time

🔍 SaaS

🏢 Company: Rossum👥 251-500💰 Debt Financing about 1 year agoArtificial Intelligence (AI)SaaS Machine Learning Document Management Software

🔧 Requirements

Strong customer-facing skills
Hands-on technical background
Experience with other SaaS products
Practical understanding of some of the following: Python, JavaScript, SQL, HTTP requests and API, integration platforms, AWS, GIT, and Tableau

💡 Responsibilities

Be customers' main technical contact throughout their contract.
Be responsible for project management of more complex customer projects where multiple parties of different skill sets and needs collaborate on a single setup.
Cooperate with members of Customer Experience and Sales organizations in order to deliver a great customer experience both on the technical and commercial side.
Consult with the Rossum product team on continuous improvement of the Rossum platform as well as advocate customers' views.

Project Management Python SQL Javascript API testing Problem Solving Customer service Account Management Technical support Scripting SaaS

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🔥 Contract: Senior FastAPI Backend Engineer

Posted about 1 hour ago

📍 Europe

🧭 Contract

🔍 Software Development

🏢 Company: Photoroom

🔧 Requirements

Experience designing and updating internal REST APIs
Work experience with FastAPI or a similar async Python http framework
Experience with integration testing in a large Python project

💡 Responsibilities

Implement and improve AI features in the Photoroom app
Design and architect new features, chaining a mix of internal and external services to generate breathtaking images for our users
Monitor and scale the growing load on the FastAPI service

AWS Backend Development Docker Python Software Development SQL Git Image Processing API testing FastAPI Postgres REST API Redis CI/CD Microservices

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🔥 Staff Software Engineer - Bidding Intelligence

Posted about 1 hour ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, WA

🧭 Full-Time

💸 165000.0 - 225000.0 USD per year

🔍 Software Development

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🔧 Requirements

8+ years of industry experience in Software Engineering and/or Infrastructure
B.S. or higher in Computer Science
Very strong coding ability
Deep understanding of computer architectures, data structures, and algorithms
Experience building low-latency, high-throughput, distributed backend services
Experience building data-intensive applications
Good team communication and collaboration skills

💡 Responsibilities

Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
Work with an experienced team of ML, Software, and Infrastructure Engineers
Design, engineer & implement reliable, scalable, and cost-efficient systems
Achieve core business objectives by enabling next generation ML models and technologies
Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWS Backend Development Python Software Development Data Analysis Machine Learning PyTorch Algorithms Data Structures REST API Microservices Software Engineering

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🔥 Senior Data Scientist (NLP)

Posted about 2 hours ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 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

Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
Experience with cloud platforms such as AWS and/or Google Cloud Platform.
Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
Strong mathematical foundation and analytical skills.
Excellent research and experimentation skills, including design, execution, and analysis.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Fluency in English.

💡 Responsibilities

Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWS Python Cloud Computing Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Communication Skills Analytical Skills Problem-solving skills Research Fluency in English

Posted about 2 hours ago

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🔥 AWS Technical Architect

Posted about 2 hours ago

📍 United States, Canada, India, Colombia

🔍 Software Development

🔧 Requirements

Customer-facing contact center experience
Experience building integrations across WFM, CRM, and contact center solutions
Experience with communications protocols and APIs such as WebRTC and SIP
Experience with hands-on Scripting/coding (e.g., python, java, c#, .NET, Node.js)
Communication and presentation skills with a high degree of comfort speaking with executives, IT Management, and customers
API integration experience
Strong troubleshooting and debugging skills
Experience with Cloudformation, Contact Flow Design, Lambda Integration, Lex Integration, and Call Center Routing
Proficient in understanding and documenting the infrastructure requirements and specifications, including resource types, networking, security, and compliance needs.
Knowledge of automation tools and frameworks for building, testing, and deploying software, such as Jenkins, GitLab CI/CD, CodeDeploy
Contact Center architecture knowledge
Experienced in implementing infrastructure as code using AWS Cloud Development Kit (CDK) and Terraform, ensuring consistent and efficient infrastructure deployment.
Capable of setting up monitoring and logging for infrastructure components and performing ongoing maintenance to ensure optimal performance and availability.
Experience in technology/software sales, pre-sales, or consulting
Advanced knowledge of AWS services and cloud architecture
Salesforce knowledge and familiarity with Salesforce Service Cloud
Contact center product knowledge of other platforms (Genesys, Cisco, Avaya, Twilio, etc.)
Experience with WorkForce Management solutions
Experience working with outbound dialers and campaign management
Knowledge of software development methodologies such as Agile and Scrum
AWS Cloud Practitioner Certification
AWS Developer Associate Certification or Professional
AWS Solution Architect Certification or Professional
Salesforce Certified Administrator

💡 Responsibilities

Ensure customer success in building and launching Amazon Connect solutions for NeuraFlash customers
Conduct technology assessment and audits to identify the need (from an ROI and Outcomes perspective) to move to CCaaS AWS Connect Platform, improving agent experience and productivity
Facilitate business process reviews to identify customer requirements and processes
Educate customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
Lead discovery for customers, help customers build ROIs for projects, and deliver presentations and estimate for delivering that ROI
Translate customer requirements into contact center design, leveraging best practices, and other AWS Services
Oversee and mentor technical teams, providing guidance and support to ensure that proposed solution (on Salesforce and AWS Cloud) is delivered on time, on budget, and to the required quality standards
Act as a liaison between technical teams and business stakeholders, communicating technical concepts in a clear and understandable manner, and managing expectations and priorities
Drive best practice contact center design into each and every aspect of solution delivery
Effectively manage all aspects of project and customer communications
Deliver customer end user training and documentation
Exercise independent judgment, and take the lead role on enterprise level projects with minimal direction from senior management
Lead vision and strategy discussions with contact center and customer service leadership and management

AWS Backend Development Leadership Node.js PostgreSQL Project Management Python SQL Agile Business Intelligence Cloud Computing Data Analysis DynamoDB Full Stack Development Java Salesforce C#Amazon Web Services API testing .NET REST API WebRTC Communication Skills CI/CD Customer service Agile methodologies RESTful APIs Mentoring Linux Terraform Troubleshooting Ansible Data modeling Scripting Debugging Customer Success

Posted about 2 hours ago

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🔥 AWS Solution Architect

Posted about 2 hours ago

📍 United States, British Columbia, Ontario, India, Colombia

🔍 Software Development

🔧 Requirements

Customer-facing contact center experience
Experience building integrations across WFM, CRM, and contact center solutions
Experience with communications protocols and APIs such as WebRTC and SIP
Experience with hands-on Scripting/coding (e.g., python, java, c#, .NET, Node.js)
Communication and presentation skills with a high degree of comfort speaking with executives, IT Management, and customers
API integration experience
Strong troubleshooting and debugging skills
Experience with Cloudformation, Contact Flow Design, Lambda Integration, Lex Integration, and Call Center Routing
Knowledge of automation tools and frameworks for building, testing, and deploying software, such as Jenkins, GitLab CI/CD, CodeDeploy
Contact Center architecture knowledge
Experience in technology/software sales, pre-sales, or consulting
Advanced knowledge of AWS services and cloud architecture
Salesforce knowledge and familiarity with Salesforce Service Cloud
Contact center product knowledge of other platforms (Genesys, Cisco, Avaya, Twilio, etc.)
Experience with WorkForce Management solutions
Experience working with outbound dialers and campaign management
Knowledge of software development methodologies such as Agile and Scrum
AWS Cloud Practitioner Certification
AWS Developer Associate Certification or Professional
AWS Solution Architect Certification or Professional
Salesforce Certified Administrator

💡 Responsibilities

Ensure customer success in building and launching Amazon Connect solutions for NeuraFlash customers
Conduct technology assessment and audits to identify the need (from an ROI and Outcomes perspective) to move to CCaaS AWS Connect Platform, improving agent experience and productivity
Facilitate business process reviews to identify customer requirements and processes
Educate customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
Lead discovery for customers, help customers build ROIs for projects, and deliver presentations and estimate for delivering that ROI
Translate customer requirements into contact center design, leveraging best practices, and other AWS Services
Oversee and mentor technical teams, providing guidance and support to ensure that proposed solution (on Salesforce and AWS Cloud) is delivered on time, on budget, and to the required quality standards
Act as a liaison between technical teams and business stakeholders, communicating technical concepts in a clear and understandable manner, and managing expectations and priorities
Drive best practice contact center design into each and every aspect of solution delivery
Effectively manage all aspects of project and customer communications
Deliver customer end user training and documentation
Exercise independent judgment, and take the lead role on enterprise level projects with minimal direction from senior management
Lead vision and strategy discussions with contact center and customer service leadership and management

AWS Node.js Python Agile Cloud Computing Java Jenkins Salesforce SCRUM C#Amazon Web Services .NET WebRTC CI/CD Customer service Scripting

Posted about 2 hours ago

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🔥 ML Manager, Software Engineering (Decisions and Pricing Engineering EU)

Posted about 2 hours ago

📍 Spain

🧭 Full-Time

💸 101000.0 - 131000.0 EUR per year

🔍 Fintech

🔧 Requirements

Extensive experience (8+ years) in machine learning engineering, with at least 2 years in a management role.
Expertise in developing machine learning models and systems at scale, from concept through to business impact.
Proficiency in machine learning techniques, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
Strong engineering skills in Python and SQL, with experience in large-scale distributed systems such as Spark or Ray.
Passion for working with cross-functional teams including Product, Design, Analytics and Business teams.
Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software.
Track record of hiring, mentoring, coaching, and developing diverse engineering talent.
Comfortability with ambiguity and self-awareness to understand and navigate the unknown
Demonstrated experience in building and scaling platforms and distributed systems that require high availability, resilience and meeting stringent SLO objectives is required.
Excellent written and verbal English communication skills.

💡 Responsibilities

Collaborate with Product managers, cross functional engineering teams, designers and analysts to define product roadmap and execute on plan to build practical technology capabilities needed to realize the vision.
Drive planning, resource allocations, trade-offs and prioritization conversations with business and technical stakeholders to define epics in Jira and manage the quality of deliverables all the way to production
Collaborate with product and platform teams to set strategic priorities and roadmaps for machine learning projects that enhance our credit assessment capabilities.
Participate in quarterly planning and work closely with peers and teams to remove impediments, articulate tradeoffs and garner resources
Grow globally minded teams by attracting and hiring diverse talent and build a strong leadership bench. Provide tailored coaching, feedback and mentoring for Engineers and inspire a team of full stack engineers
Hire, coach, and mentor employees to increase their impact through regular performance development and feedback conversations.
Foster a respectful and supportive environment for all team members that effectively leverages the diversity of the team.
There would be an on-call rotation for this role as a requirement.

AWS Leadership Python SQL Data Analysis Full Stack Development Machine Learning Algorithms Data Structures Spark Data modeling

Posted about 2 hours ago

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🔥 Senior Security Engineer

Posted about 2 hours ago

📍 Canada

🧭 Full-Time

💸 150000.0 - 172000.0 USD per year

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud Computing SaaS Supply Chain Management Enterprise Software FinTech Software Procurement

🔧 Requirements

4+ years of experience working as a SecOps Engineer
Experience mitigating and maintaining compliance controls (e.g. , ISO27001, SOC2, PCI DSS)
Experience with containerized applications running in AWS
A strong understanding of cloud infrastructure networking and security policies
Familiarity with infrastructure as code tools such as Terraform
A history of effective collaboration with development teams to uphold security best practices (OWASP, etc.)
Adept at working with a high degree of autonomy and initiative.
Strong problem-solving, technical design, and analytical skills.
Able to balance multiple competing priorities while solving challenging problems.
Excellent teamwork and communication with other software engineers, your leadership, and others with less technical backgrounds.
Act with compassion and empathy for others. Believe that your team’s success is your success.

💡 Responsibilities

Work with your team and across the Product Engineering teams to design and deploy processes and tools that help our teams raise the security standard at Procurify and deliver a secure product for our customers
Follow DevSecOps principles to shift security left
Work with engineering teams to ensure that security is a major driver of our engineering designs
Complete STRIDE assessments for each significant security engineering feature
Develop best-in-class security policies for our application development and cloud infrastructure
Maintain a high degree of compliance across the organization
Implement and monitor a SIEM tool to detect and remediate security events
Detect, triage and respond to security incidents within SLOs
Collaborate with product development teams to mitigate and prevent security vulnerabilities
Detect, triage, and mitigate vulnerabilities in collaboration with the engineering teams

AWS Python Cloud Computing Cybersecurity Kubernetes Analytical Skills CI/CD Problem Solving RESTful APIs DevOps Terraform Microservices Compliance Excellent communication skills Teamwork

Posted about 2 hours ago

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