Senior Python Software Engineer
hace 7 horas
We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Key Responsibilities Collaborate closely with Product Managers, Designers, and Engineers to deliver high-impact, customer-facing solutions that drive business value. Design, build, and maintain robust full-stack features that deliver intuitive, high-quality user experiences. Design, develop, and operate scalable backend services, distributed systems, and data pipelines processing large volumes of data on AWS. Apply AI-driven solutions and automation to improve data quality, monitoring, and operational efficiency. Lead by example by promoting best practices that improve code quality, team efficiency, and delivery predictability. Mentor and coach engineers across all levels, fostering a culture of ownership, growth, and engineering excellence. Continuously improve developer experience by enhancing tooling, automating infrastructure provisioning, and optimizing CI/CD pipelines. Evaluate and recommend new technologies, tools, and frameworks to improve architecture, performance, and developer productivity. Participate in an Agile/Scrum-based product development process. Must-have Skills 6+ years of experience developing web applications, backend services, and data pipelines in production environments. Strong full-stack engineering experience, building and maintaining scalable frontend and backend systems. Proficiency in multiple programming languages and frameworks such as Python, Go, JavaScript, and ReactJS. Experience with cloud-based architectures, deployment, and operations on AWS (EC2, S3, RDS). Hands-on experience with modern platforms and tools such as Kubernetes, Kafka, GraphQL, MySQL, PostgreSQL, and CircleCI. Solid understanding of CI/CD pipelines, automated testing, and deployment best practices. Experience with monitoring systems, incident alerting, and reliability practices to support SLAs. Strong grounding in computer science fundamentals, including data structures, algorithms, and database/schema design. Proven ability to deliver high-quality, maintainable code in fast-paced, collaborative environments. Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree is a plus). Nice-to-have: AI Tooling Proficiency : Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. Experience improving data quality and operational workflows through automation. Strong product mindset with the ability to connect technical decisions to business outcomes. Experience mentoring engineers and influencing engineering culture beyond individual contributions. What we offer: A High-Impact Environment Commitment to Professional Development Flexible and Collaborative Culture Global Opportunities Vibrant Community Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here. #J-18808-Ljbffr
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