Lead software developer
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About Lumen Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress. We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future. The Role We are seeking an exceptionally talented and experienced Senior Lead Software Developer to join our growing team. In this pivotal role, you will be instrumental in designing, developing, and deploying highly scalable and resilient software solutions within our cloud-native environment. Your deep expertise in Python will be critical in building robust backend systems, APIs, and microservices that power our core products. Beyond your technical contributions, a significant aspect of this role involves mentoring and guiding a team of talented engineers. You will foster a collaborative environment, promote best practices, and contribute to the professional growth of your colleagues. Location This is a Work From Home position available from any US-based location. You must be a US Citizen or Permanent Resident / Green Card for consideration for this position. The Main Responsibilities- Lead the design, development, and implementation of complex software systems using Python, ensuring high performance, scalability, and reliability in a cloud environment.
- Architect and build robust APIs, microservices, and data pipelines to support various applications and services.
- Collaborate closely with business partners, architects, and other engineering teams to define technical requirements and deliver innovative solutions.
- Drive technical excellence, promoting clean code, test-driven development, and continuous integration/continuous deployment (CI/CD) practices.
- Mentor and provide technical guidance to junior and mid-level engineers, fostering their growth and development.
- Conduct code reviews, provide constructive feedback, and ensure adherence to coding standards and architectural principles.
- Identify and implement opportunities for performance optimization, cost efficiency, and operational excellence within cloud infrastructure.
- Stay abreast of emerging technologies and industry trends, particularly in cloud computing, Python, DevOps, and AI, and advocate for their adoption where appropriate.
- Troubleshoot and resolve complex technical issues, ensuring the stability and availability of our production systems.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
- 10+ years of professional software development experience, with at least 3 years in a lead or senior lead capacity at a large technology company.
- Deep expertise in Python is mandatory, with a proven track record of building and deploying production-grade applications.
- Extensive experience with cloud platforms (AWS, Azure, or GCP) is required, including a strong understanding of cloud services such as serverless computing (Lambda/Functions/Cloud Functions), containerization (Docker, Kubernetes), databases (relational and NoSQL), and messaging queues.
- Demonstrated experience mentoring and leading software engineers, fostering a collaborative and high-performing team environment.
- Strong understanding of software engineering best practices, including design patterns, data structures, algorithms, and secure coding principles.
- Excellent problem-solving skills, with the ability to analyze complex technical challenges and propose effective solutions.
- Strong communication and interpersonal skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences.
- Hands-on experience with DevOps practices and tools (e.g., CI/CD pipelines, infrastructure as code with Terraform/CloudFormation, monitoring, logging, and alerting).
- Experience with Artificial Intelligence (AI) and Machine Learning (ML) concepts and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), particularly in deploying and managing AI/ML models in a production cloud environment.
- Experience with distributed systems and microservices architectures.
- Familiarity with agile development methodologies.
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