Flinks

Posted 2024-11-20

📍 Canada

🔍 Finance/Fintech

7+ years of experience as a software developer.
Proficient in C# and the .NET framework, with solid experience in backend architecture and/or full-stack development.
Hands-on experience with microservices and high-scale systems.
Experience designing and building scalable systems using GCP and containers.
Experience with Docker, Kubernetes, or similar containerization technologies.
Experienced in test-driven development and producing high-quality software.
Strong understanding of web security and diverse authentication mechanisms like OAuth.
Problem-solver with a proven track record of designing scalable, secure systems.
Strong communication skills for leading discussions and mentoring.

Lead the development of key applications, from architecture through to deployment, ensuring performance and reliability.
Design and build scalable, reliable, and secure systems, addressing backend and full-stack needs.
Own technical solutions for complex problems to ensure timely delivery and drive innovation.
Develop cloud-native solutions using GCP to optimize performance and security.
Collaborate with product, design, and engineering teams for seamless backend and frontend integration.
Mentor junior developers and contribute to a collaborative environment.
Continuously seek improvements for performance and operational efficiency.

Posted 2024-11-20

Posted 2024-11-07

📍 Toronto, Ontario, Canada; Lisbon, Lisbon, Portugal; State of São Paulo, Brazil

🔍 Financial data services

You have a deep understanding of data science and can leverage that knowledge to propose innovative ideas, enhance existing solutions, and shape the future of finance in Canada and globally.
5+ years of experience as an established and confident Data Scientist.
Not afraid to experiment and explore new techniques and solutions.
A strong proficiency in Python for data science.
Hands-on experience with advanced NLP models (e.g., Transformers, BERT).
Familiarity with cloud platforms and their application to scalable data science solutions.
Strong communication skills, with the ability to influence and drive change.

Own the Model Lifecycle: Design, build, deploy, and continuously improve sophisticated machine learning models, minimizing drift and maximizing accuracy across use cases.
Become a Data Detective: Proactively dive deep into massive datasets, identify data quality issues, and resolve them to ensure models perform optimally.
Innovate with the Cloud: Leverage cloud platforms to build, train, and scale advanced models, utilizing our ML Platform to develop cutting-edge solutions.
Shape our Technical Strategy: Propose and implement forward-thinking technical solutions, pushing the boundaries of what's possible in financial data science.
Collaborate and Mentor: Work closely with talented engineering and product teams to integrate your models into production, while mentoring team members to share knowledge and foster growth.
Contribute to R&D: Be a key contributor to groundbreaking research and development, exploring the latest advancements in machine learning and applying them to financial data products.

PythonMachine LearningStrategyData scienceCommunication SkillsMentoring

Posted 2024-11-07

Posted 2024-11-07

📍 Canada

🔍 Financial technology

Operationally focused with expertise in incident management.
Strong debugging and troubleshooting skills in performance optimization.
7+ years of experience with .NET Framework (C#).
Strong knowledge of Kubernetes, Docker, and cloud platforms (GCP preferred).
Proficiency with monitoring tools like Prometheus, Grafana, and Kibana.
Experience with incident ticketing/documentation tools like FreshDesk and Confluence.
Critical thinker capable of identifying system weaknesses.
Strong project management skills focused on scalability.
ITIL Service Management certification (or equivalent) is desired.
Experience with PowerBI, web scraping, or Golang is a plus.

Provide live operational support for multiple client software applications, monitoring services and alerts to detect critical failures.
Develop and maintain code to resolve production issues quickly.
Own and resolve incidents reported by clients and internal stakeholders.
Troubleshoot complex incidents and perform thorough root cause analyses.
Utilize a data-driven approach for detailed analyses and reports.
Conduct technical analyses of product deficiencies.
Develop and enhance monitoring systems to proactively detect issues.
Provide expert guidance on operational stability and scalability.
Lead initiatives that automate processes, improving operational efficiency.
Facilitate postmortem meetings, document findings, and assign action items.
Collaborate with cross-functional teams to ensure rapid resolution of issues.
Lead and motivate project teams.
Mentor and train reliability engineers.

Posted 2024-11-07

Posted 2024-10-08

📍 Canada

🔍 Financial technology

Operationally focused with expertise in incident management and live production issue resolution.
Strong debugging and troubleshooting skills, particularly in large-scale applications performance optimization.
Proven experience in building and maintaining monitoring and alerting systems.
7+ years of experience with .NET Framework (C#) for production stability.
Strong knowledge of Kubernetes, Docker, and cloud platforms like GCP.
Proficiency with monitoring tools such as Prometheus, Grafana, and Kibana.
Experience with incident ticketing/documentation tools like FreshDesk and Confluence.
Critical thinking ability to identify system weaknesses and innovate solutions.
Strong project management skills focused on scalability and stability.
ITIL Service Management certification (or equivalent) is highly desired.
Experience with PowerBI, web scraping, or Golang is a plus.

Provide live operational support for multiple client software applications, ensuring rapid restoration of services.
Develop and maintain code to quickly resolve production issues.
Own and resolve incidents, adhering to client SLA and internal SLO timelines.
Troubleshoot complex incidents and implement solutions to prevent recurrence.
Utilize data-driven approaches to prepare detailed analyses and reports.
Conduct deep technical analyses of product deficiencies and address client pain points.
Develop monitoring systems and implement robust alert mechanisms.
Provide guidance on improving operational system stability.
Lead initiatives that automate processes for operational efficiency.
Facilitate postmortem meetings following incidents.
Collaborate with cross-functional teams for rapid resolution of production issues.
Lead and motivate project teams to ensure quality standards.
Mentor reliability engineers and track their progress.
Participate in after-hours on-call support.

DockerProject ManagementGCPKibanaKubernetesC#StrategyGrafana.NETPrometheusDocumentation

Posted 2024-10-08

🔧 Requirements