iSpot is a dynamic company specializing in big data solutions within a high-scale AWS environment. They are seeking a Senior Software Development Engineer to lead the migration from Redshift to Snowflake and drive scalable solutions while maintaining high standards of quality and operational efficiency.
Responsibilities:
- Design domains with testability and multiple teams in mind, creating extensible and shareable codebases
- Provide prescriptive code reviews that suggest more acceptable code patterns and contribute to company-wide style guidelines
- Lead efforts to upgrade legacy systems, refactoring technical debt into scalable, modern architectures, including x-region database migrations and moving to EKS
- Maintain a high standard of quality, setting the example for the team
- Develop the architecture for automation systems and expertly debug complex issues within the CI/CD pipeline
- Implement secure deployment strategies, especially for large-scale, high-risk projects
- Actively explore and learn about AI technologies that enhance the efficiency of the entire team’s work
- Create space for teammates to improve their AI tooling through pairing, providing demos, and writing documentation
- Bring creative solutions to complex, large-scale projects and ensure contributions can be extended far into the future
- Propose and implement viable domain measurement solutions
- Play a lead role in researching external solutions and leading root cause analysis (RCA) for complex, multi-domain incidents
- Proactively improve the current state of operations by identifying and reducing toil
- Apply a 'Platform Engineering' mindset to automate repetitive manual tasks, ensuring the team remains focused on high-value engineering
- Build internal networks to improve organizational speed and the quality of technology solutions, removing obstacles for the team as they arise
- Drive a mature cost-optimization strategy, ensuring that architectural decisions and cloud resource utilization are both performant and cost-efficient
- Routinely work cross-functionally to align partners and stakeholders with the project vision and strategy
- Mentor less experienced team members, ensuring communication promotes clarity and inspires action
- Onboard and coach other engineers in adopting an AI-first mindset, focusing on low-risk strategies
- Handle personal conflicts within the team and navigate ambiguity to reach strategic milestones
Requirements:
- Significant experience developing software for shareable features across multiple engineering projects
- Experience leading small-to-mid-sized technical initiatives
- Proven ability to make high-level architectural decisions, including redesigning legacy services to ensure they are highly reliable and operable
- Hands-on experience with Platform Engineering principles, focusing on internal developer experience, infrastructure abstraction, and building self-service capabilities for engineering teams
- Expert knowledge of AWS (S3, Lambda, EC2, IAM)
- Tech Required: Java, Spring Boot, MySQL, RabbitMQ (or similar message broker), Kubernetes/EKS, Docker, CI/CD pipelines
- Strong communication skills with the ability to tailor messaging to different audiences (from junior devs to senior leadership)
- Excellent problem-solving and analytical skills
- Experience in Ad-Tech or high-throughput 'Big Data' processing environments
- Experience with Infrastructure as Code (Terraform) and CI/CD concepts (CircleCI)
- A track record of identifying trends in incidents and introducing broad solutions to address them
- Tech Preferred: Redshift, Helm, Terraform, Gradle, Groovy
- Bonus: Proven experience or a deep architectural understanding of migrating data workloads from Redshift to Snowflake
- AI Native: Experience using AI coding assistants and LLMs to accelerate development (e.g., Kiro, Gemini, Copilot, Cursor, or similar)