Jobgether
Staff Backend Platform Engineer
TLDR
Lead architecture and cross-functional initiatives to shape a scalable AI-focused backend platform, driving reliability, observability, and production-grade systems across teams.
Accountabilities
- Define and drive the technical vision for backend platform architecture, influencing integrations, messaging infrastructure, data systems, and orchestration services across multiple engineering teams.
- Lead complex cross-functional initiatives, partnering with product, AI, and engineering stakeholders to deliver scalable platform capabilities and align technical roadmaps with business objectives.
- Establish and evolve engineering best practices for backend service development, data modeling, observability, reliability, performance, and operational excellence.
- Design and enhance integration frameworks supporting APIs, webhooks, data ingestion pipelines, synchronization services, and resilient processing of external system interactions.
- Build and maintain messaging infrastructure for email, SMS, and chat delivery, ensuring scalability, auditability, throughput optimization, and system reliability.
- Develop and optimize platform services, workflow orchestration mechanisms, event-driven architectures, and backend systems that support AI-powered products.
- Identify and mitigate platform-wide risks related to scalability, reliability, performance, and maintainability while driving continuous improvement initiatives.
- Mentor engineers through technical reviews, architecture guidance, and collaborative problem-solving, helping elevate engineering standards across the organization.
- Contribute directly to production code development while providing technical leadership on critical backend initiatives and long-term platform evolution.
- 8+ years of professional software engineering experience with significant expertise in backend platforms, integrations, distributed systems, or data infrastructure operating at production scale.
- Proven success leading large technical initiatives across teams, including architecture design, stakeholder alignment, execution, and delivery.
- Strong proficiency in Python and extensive experience building production services using frameworks such as FastAPI, Celery, or similar asynchronous processing technologies.
- Deep knowledge of PostgreSQL, including schema design, performance tuning, query optimization, and operational management in production environments.
- Experience designing and maintaining large-scale data pipelines and working with complex datasets across multiple source systems.
- Demonstrated ability to establish engineering standards and influence technical direction across an organization.
- Expertise integrating with third-party SaaS platforms and managing challenges such as rate limits, schema evolution, retries, and partial system failures.
- Strong background in modern cloud-native architectures, particularly within AWS environments.
- Experience leveraging modern AI-assisted development tools as part of an efficient engineering workflow.
- Excellent communication, collaboration, mentoring, and technical leadership skills.
- Preferred experience includes B2B SaaS environments, messaging platforms, infrastructure-as-code tools, Kubernetes ecosystems, observability platforms, event-driven systems, and AI-oriented backend platforms.
- Competitive compensation aligned with experience, skills, role scope, and geographic market considerations.
- Comprehensive medical, dental, and vision insurance coverage.
- Generous paid time off and company-recognized holidays.
- 401(k) retirement savings plan.
- Equity participation opportunities.
- Fully remote-first work environment with flexibility and autonomy.
- Opportunity to influence the technical direction of a cutting-edge AI platform.
- Collaborative culture with experienced engineering professionals and cross-functional teams.
- Exposure to innovative technologies and large-scale backend engineering challenges.
- Strong focus on professional growth, technical leadership, and long-term career development.
Requirements
Benefits
How Jobgether works:
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.
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Benefits
Education Stipend
Strong focus on professional growth, technical leadership, and long-term career development.
Equity Compensation
Equity participation opportunities.
Health Insurance
Comprehensive medical, dental, and vision insurance coverage.
Learning Budget
Strong focus on professional growth, technical leadership, and long-term career development.
exposure to innovative technologies
Exposure to innovative technologies and large-scale backend engineering challenges.
Paid Time Off
Generous paid time off and company-recognized holidays.
Remote-Friendly
Fully remote-first work environment with flexibility and autonomy.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Platform Engineer