We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior Software Engineer - Platform & Infrastructure (Data Platform)
Location
United States
Posted
2 days ago
Salary
$199.8K - $235K / year
Job Description
Role Description
This role is ideal for an experienced engineer passionate about designing and scaling data-intensive systems. You will be part of a collaborative team responsible for building and maintaining a next-generation data platform that powers high-scale SaaS applications. The position involves:
- Designing reliable, secure, and scalable storage solutions.
- Developing self-serve tooling for internal engineering and data science teams.
- Partnering across functions to identify and solve performance and scalability challenges.
- Mentoring peers and shaping platform strategy.
- Leading ambitious technical projects.
The environment is fast-paced, innovative, and supportive of career growth into senior technical leadership. You will work with cutting-edge technologies while directly contributing to operational excellence and the success of internal stakeholders.
Qualifications
- 6+ years of experience working on data-intensive applications and distributed systems.
- Strong experience building platforms, tools, and systems to support engineering teams at scale.
- Deep knowledge of one or more storage systems such as PostgreSQL, RocksDB, ElasticSearch, Redis, DynamoDB, or Kafka.
- Proven ability to lead change and drive technical initiatives across multiple teams.
- Hands-on experience with AWS or other cloud platforms in high-scale environments.
- Excellent collaboration, communication, and mentoring skills.
- Demonstrated ability to analyze complex systems, identify gaps, and deliver robust solutions.
Requirements
- Define, build, and deliver scalable data platform solutions across cloud infrastructure to support engineering and data science teams.
- Develop tooling and services for storage platforms, enabling self-service capabilities and operational efficiency.
- Collaborate cross-functionally to identify scalability gaps in data-intensive systems and lead projects to address them.
- Serve as a subject-matter expert in online data storage systems, offering guidance on relational, key-value, document-oriented, or columnar databases.
- Mentor and onboard engineers, sharing expertise and promoting best practices across the team.
- Drive engineering initiatives that require cross-team coordination and innovation.
Benefits
- Competitive base salary range of $199,800 – $235,000 USD.
- Eligibility for performance bonuses and restricted stock units (RSUs).
- Comprehensive health, dental, and vision coverage.
- Remote-first work environment with flexibility for work-life balance.
- Professional development and career growth opportunities into staff-level technical leadership.
- Access to cutting-edge technologies and collaborative, innovative engineering culture.
Job Requirements
- 6+ years of experience working on data-intensive applications and distributed systems.
- Strong experience building platforms, tools, and systems to support engineering teams at scale.
- Deep knowledge of one or more storage systems such as PostgreSQL, RocksDB, ElasticSearch, Redis, DynamoDB, or Kafka.
- Proven ability to lead change and drive technical initiatives across multiple teams.
- Hands-on experience with AWS or other cloud platforms in high-scale environments.
- Excellent collaboration, communication, and mentoring skills.
- Demonstrated ability to analyze complex systems, identify gaps, and deliver robust solutions.
- Define, build, and deliver scalable data platform solutions across cloud infrastructure to support engineering and data science teams.
- Develop tooling and services for storage platforms, enabling self-service capabilities and operational efficiency.
- Collaborate cross-functionally to identify scalability gaps in data-intensive systems and lead projects to address them.
- Serve as a subject-matter expert in online data storage systems, offering guidance on relational, key-value, document-oriented, or columnar databases.
- Mentor and onboard engineers, sharing expertise and promoting best practices across the team.
- Drive engineering initiatives that require cross-team coordination and innovation.
Benefits
- Competitive base salary range of $199,800 – $235,000 USD.
- Eligibility for performance bonuses and restricted stock units (RSUs).
- Comprehensive health, dental, and vision coverage.
- Remote-first work environment with flexibility for work-life balance.
- Professional development and career growth opportunities into staff-level technical leadership.
- Access to cutting-edge technologies and collaborative, innovative engineering culture.
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