Back End Engineer (SQL, Python) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

290000.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Back End Development, SQL, Python, Database Optimization, System Architecture, REST Services, Kubernetes, DevOps, Open-Source Contribution, Problem-Solving, Team Collaboration, Security, Performance Optimization, Technical Debt Reduction, Scalability, AI Technologies

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Back End Engineer (SQL, Python) in the United States. In this role, you will design and develop the backend systems that power large-scale AI-driven applications. You will focus on building robust, secure, and scalable architectures, optimizing databases, and improving platform performance for millions of users. The position involves collaborating closely with cross-functional teams, contributing to open-source projects, and implementing best practices for long-term system growth. You will have the opportunity to tackle complex technical challenges while shaping the infrastructure that supports cutting-edge AI technologies. This role is ideal for engineers who thrive in a fast-paced, innovation-focused environment and enjoy delivering impactful solutions at web scale. Accountabilities: Design, build, and maintain scalable backend systems and infrastructure to support AI-driven products. Develop and optimize SQL and NoSQL databases, ensuring efficient query patterns and high performance. Refactor and improve existing systems to reduce technical debt and enhance maintainability. Collaborate with infrastructure, DevOps, and cross-functional teams to ensure robust deployment and monitoring strategies. Contribute to open-source projects and integrate cutting-edge technologies into production systems. Establish and enforce best practices for architecture, coding standards, and team workflows. Focus on reliability, security, and scalability to meet the needs of millions of users. Proven experience building and deploying mission-critical REST/RPC backend services. Strong proficiency in SQL and Python, with experience designing scalable data pipelines. Familiarity with Kubernetes, deployment pipelines, and system-level debugging. Experience contributing to or maintaining open-source projects is a plus. Excellent problem-solving skills and ability to deliver elegant, maintainable solutions. Strong communication and teamwork skills to collaborate with distributed, cross-functional teams. Knowledge of infrastructure best practices, security, and performance optimization. Competitive salary: $230,000 — $290,000 USD, based on experience and internal leveling. Flexible PTO with U.S. holidays and a week shutdown in December. Comprehensive health insurance covering 100% of the policyholder and 75% of dependents. 12 weeks paid parental leave (U.S.). 401(k) program with 3% company match, vested immediately. $500 work-from-home stipend and $1,200 annual health & wellness allowance. Access to co-working hubs in San Francisco and New York for in-person collaboration. Opportunity to work at the forefront of AI research with a collaborative, innovative team. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design and develop scalable backend systems for AI-driven applications. Collaborate with cross-functional teams to optimize performance and ensure robust deployment strategies.