Senior Software Engineer

Responsibilities:

• Work with product managers, technology teams, and engineering peers to understand and implement roadmap priorities and shape product features that address customers' needs.
• Employ advanced knowledge of common software design patterns focusing on microservice architecture. 
• Articulate design and architecture trade-offs and apply software design patterns to solve complex engineering problems efficiently.
• Apply skilled knowledge of data structures, data modeling, and design.
• Drive design and implementation based on sound engineering principles and best practices, focusing on testability, maintainability, and scalability.
• Provide overall project design and estimates that meet business and technology strategy needs during project scoping phases.
• Manage the velocity of delivery without compromising the quality of product releases.
• Embrace the “you build it, you run it” engineering principle.
• Champion good software engineering habits such as clean code principles, security, tech debt balance, TDD, and “going end-to-end early.”
• Own, diagnose, and resolve complex system technical issues and code defects.
• Collaborate with engineering leadership to help establish the technical roadmap to facilitate innovation and enhancement of product capabilities.
• Provide leadership with a perspective on "what’s next" in technology, coding tools, applications, and concepts.
• Collaborate well with and across teams.
• Drive a culture of technical excellence, continuous improvement, and lifelong learning.
• Identify and work with SRE to implement automation opportunities that will enhance the efficiency of the software delivery cycle and the reliability of Milestone’s VSaaS product.

Professional Qualifications:

• Minimum of 5 years of software development experience with a distinguished track record of delivering complex data-rich enterprise services.
• Minimum of 3 years of experience with programming in Go, C++, or an equivalent compiled language.
• Rich experience developing applications deployed on public cloud infrastructure, preferably GCP.
• Experience building and maintaining ETL/ELT pipelines.
• Experience with real-time data processing (Kafka, SQS, Google Pub/Sub, and similar).
• Experience handling large datasets, including data storage and search techniques.
• Familiarity with testing methodologies and fully comfortable with TDD/BDD development practices.
• Strong understanding of modern CI/CD methodologies and Git-based workflows.
• Clear and persuasive written and oral communication skills are required to collaborate with and persuade fellow engineers and non-technical audiences. 
• A breadth of technology and engineering skills, knowledge, and experience - comfortable with topics spanning programming languages, AI/ML, advanced networking, compute and data platforms, as well as automation and big data.