Senior Software Engineer, Pindrop

• You are resilient in the face of challenges, change, and ambiguity
• You are optimistic and believe that you can make a problem into a solution
• You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed
• You take accountability, do the things you say you’ll do, under-promise and over-deliver
• You are a strong problem-solver with excellent analytical skills
• You are an owner and enjoy taking on project leadership as well as mentorship
• You are a strong verbal and written communicator
• 5-7 Years of Software Engineering experience
• Experience with cloud computing environments, especially AWS and container-based deployment using Docker and Kubernetes
• Experience working with Python, 2-3 years minimum
• Experience operating services in production environments
• A strong understanding of software design principles, software architecture, design patterns, as well as software development best practices, including testing, version control, and continuous integration
• Experience with infrastructure as code tools like Terraform or AWS CDK
• Experience in monitoring and performance of Production platforms using tech stacks and tools such as Datadog, ELK, Grafana, Prometheus
• Participation in the on-call rotation is required
• If this job sounds great, but you’re not sure if you qualify, apply anyway!

Desirable

• As a Senior Software Engineer, you will play a critical role in the development and maintenance of software applications and systems
• You will be responsible for leading and contributing to complex software projects, providing technical expertise, and mentoring junior engineers
• You will expand capabilities and bring new solutions to market
• As a member of the MLOps team, you will be responsible for systems that train models and produce predictions
• Software Development: You'll design, develop, test, and maintain our complex software applications, ensuring high-quality code and adherence to best practices
• Play a critical role in the development and maintenance of our software products by designing, building, evolving, and scaling state-of-the-art solutions for our Pindrop platform
• Technical Leadership: Provide technical leadership and guidance to junior engineers and the development team, including code reviews, architecture decisions, and mentoring
• Architecture and Design: Contribute to the design and architecture of software systems, ensuring scalability, maintainability, and performance
• Problem Solving: Analyze and solve complex technical problems, and make recommendations for improvements and optimizations
• Quality Assurance: Implement and advocate for best practices in testing and quality assurance, including unit testing, integration testing, and automated testing
• Code Review: Participate in code reviews and provide constructive feedback to ensure code quality and consistency
• Research and Innovation: Stay current with emerging technologies, tools, and programming languages and apply them where relevant to improve software development processes
• Security and Compliance: Ensure software adheres to security standards and compliance requirements, addressing vulnerabilities and potential risks
• You'll design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
• Data science model review: run code and refactor, optimize, containerize, deploy, version, and monitor its quality
• Validate and add automated tests for Data Science models
• Work closely with a team of researchers and data scientists to productionize and document research innovations
• 0-30 (Acclimating)
• Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers
• Onboard in the MLOps Team
• 1:1s with all the team members
• Get started with your first project, first PR merged
• 30-60 (Learning)
• Be a part of planning and contribute to the smaller tasks to fix existing issues
• Be a part of triaging only the most important issues for the team to be focusing on
• Add small features/resolve tech debt for the MLOps team
• 60-90 (Assimilating)
• Fully acclimated with the team
• Be able to pick up any task that comes out of sprint planning
• Be able to design enhancements to the ML platform