Software Developer IV, Data
- Compensation
- Not disclosed
- Location
- Toronto, ON, CA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience)
- Ability to read, write, speak, and understand English.
- 7+ years of experience programming in Python
- 5+ years of experience with Cloud platforms preferably in AWS or GCP
- 5+ years of experience working with Terraform/Infrastructure as Code concepts
- 5+ years work with continuous integration and build tools
- Experience architecting and designing systems from the ground up, including making pragmatic decisions for scalability, reliability, and maintainability.
- Experience with in-memory data processing, database monitoring and diagnostic tools, preferably Data Dog.
- Experience with Domain Driven Design.
- Strong experience integrating 3rd-party APIs, implementing authentication & authorization and developing asynchronous data flows.
- Strong experience developing unit and integration-tests, and setting expectations for test strategy and coverage
- Proficiency in SQL query writing and optimization.
- Strong communication and collaboration skills, with the ability to work effectively in a fast paced global team environment.
- Deep practical experience operating within and leading Agile development environments, with a strong understanding of how to run effective sprints and agile ceremonies.
- #LI-AM3
Full description
Who we are looking for:
We are looking for an exceptional Senior Software Developer to join our Platform Engineering group, focusing on the VIN Decoder platform. The position will focus on backend development, AWS Postgres, GCP BigQuery, Redis, and python development.
The ideal candidate has a strong foundation in software development, database design, multi-cloud environments, and in-memory data technologies. You bring deep technical expertise in software development, demonstrate strong communication and collaboration skills, and embrace a hands-on, problem-solving mindset to tackle ACV’s most challenging data engineering problems. This position is ideal for an engineer that thrives in a fast-paced, collaborative environment and is passionate about solving complex technical challenges.
If you are passionate about solving complex architectural challenges and are equally invested in developing the careers of those around you, this is the perfect opportunity.
What you will do:
Contribute to the technical vision for your team’s domain, making critical decisions on multi-cloud infrastructure, in-memory technologies, and overall system architecture.
Develop APIs, services, background workers using python, Postgres database, Redis
Design and build complex systems that can scale rapidly with little maintenance, with a strong focus on reliability, performance, and operational excellence.
Design and implement effective service/product interfaces, including third-party API integrations
Develop and maintain application data models, including writing and tuning complex SQL queries, optimizing indexes and performance, and designing schemas that reliably support application workflows
Collaborate with software and production engineers to design scalable services, plan feature roll-out, and ensure high reliability and performance of our products.
Design and develop systems across all major departments including but not limited to; data, enterprise applications, and IT.
Modify and develop custom software patterns as needed to solve highly complex software problems, and clearly document tradeoffs and long-term maintenance implications.
Be accountable for the overall performance of products and/or services within a defined area of focus, including diagnosing production issues and driving improvements.
Conduct code reviews, develop high-quality documentation, and build robust test suites for your products (unit/integration testing), ensuring maintainable and well-covered code.
Drive operational maturity (observability, incident response, on-call practices, reliability goals) and lead post-incident analysis with preventative action plans.