We're looking for a Staff Software Engineer to join our Platform Engineering team. As a key member of our team, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will act as a bridge between high-level business goals and technical goals, collaborating with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.
Impact and Responsibilities:
- Architectural Vision: Drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.
- Cross-Functional Leadership: Collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.
- Technical Ownership: Proactively identify and drive opportunities for organisational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.
- Technical Mentorship: Serve as a subject matter expert, presenting technical information to stakeholders and providing guidance to elevate the engineering culture across the company.
Requirements:
- 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.
- Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
- Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.
- Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
- Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
- Experience with orchestration platforms, such as Temporal and AWS Step Functions.
- Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).
Nice to haves:
- Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
- Experience scaling products at hyper-growth startups.
- Excitement to work with AI technologies.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.
You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
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