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Senior Software Engineer - Platform, Full Stack job at Qualified.com

Remote

Deutschland

Remote

USD 170.000 - 220.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading technology company is seeking a Senior Software Engineer specializing in platform engineering. You will develop and maintain backend systems and integrate AI technologies. The ideal candidate has 5+ years of full-stack development experience, strong programming skills, and a passion for innovative solutions. This role is remote, offering a competitive salary range between $170K and $220K annually, plus equity and bonuses.

Leistungen

Equity
Performance bonus

Qualifikationen

  • 5+ years of experience in professional full-stack software development.
  • Expertise in modern web application components.
  • Experience using frontier-scale LLMs programmatically is a plus.

Aufgaben

  • Develop and maintain scalable backend systems.
  • Implement AI algorithms and scale them for production.
  • Continuously improve system performance and deploy optimizations.
  • Contribute to team culture and mentor other engineers.

Kenntnisse

Professional full-stack software development
Leveraging AI/ML technologies
Object-oriented programming
Systems design
SQL and RDBMS knowledge

Ausbildung

B.S. in Computer Science or equivalent experience

Tools

PostgreSQL
React.js
Ruby on Rails

Jobbeschreibung

  • Senior Software Engineer - Platform, Full Stack
Senior Software Engineer - Platform, Full Stack
Senior Software Engineer - Platform, Full Stack
Location

Remote(US/Canada)

Employment Type

Full time

Department
Compensation
  • Estimated Base Salary$170K –$220K • Offers Equity • Offers Bonus

OverviewApplication

Qualified is the Agentic Marketing Platform for B2B companies. With Piper the AI SDR Agent, Qualified offers a whole new way to grow inbound pipeline. Piper operates across both the website and email, working to engage website visitors, capture leads, and convert buyers into pipeline around the clock. Hundreds of the world’s leading brands—including Crunchbase, Asana, Box, and Grubhub—choose Qualified to increase lead conversions, generate more meetings, and improve efficiency within their inbound pipeline motion.

Engineering at Qualified

At Qualified, we are developing PipelineAI, an enterprise-grade SaaS platform powered by AI, with the goal of revolutionizing pipeline generation for our customers. Our small yet powerful team excels at solving complex problems with innovative solutions. By leveraging advanced technologies like Large Language Models (LLM), we create cutting-edge products that automatically identify, engage, and convert our customer’s most valuable website visitors into immediate pipeline. Guided by agile principles, we cultivate a culture of flexibility and efficiency, where engineers take complete ownership of their projects from conception to launch, ensuring excellence in coding, testing, deployment, monitoring, and customer rollout.

Dedicated to high standards, we are fully cloud-native, utilizing trusted tools and technologies such as Ruby on Rails, PostgreSQL, React.js, and AWS. Our mission is to develop real-time AI-powered solutions that are straightforward and effective, providing exceptional value to our customers and driving our organization's success.

Your role

As a key member of the Platform Engineering team, you will construct and maintain the critical systems that form the backbone of our operations. You will integrate LLMs, embeddings, and other AI technologies into our platform, enabling innovative product features and exceptional user experiences. Your role is crucial in ensuring these systems are robust and capable of supporting complex, real-time customer interactions. With a commitment to end-to-end ownership, you will significantly shape the future of our product, directly influencing our ability to meet the evolving needs of our customers.

Your Responsibilities

Develop and maintain scalable, high-performance backend systems foundational to our product's functionality.

Implement cutting-edge AI algorithms and architectures, and scale them for production within our platform.

Continuously improve system performance, identify bottlenecks, and deploy optimizations for smooth operation at scale.

Ensure our core functionality is stable, scalable, well-maintained, and continuously improving.

Continuously grow your technical skills to tackle our toughest challenges related to quality, performance, robustness, and reliability.

Contribute to our team’s culture and future by mentoring other engineers and setting standards of engineering excellence.

Support and scale highly-available, highly-trafficked services essential for our customers' time-sensitive, business-critical needs.

Qualifications - Technical Skills

5+ years of experience in professional full-stack software development, with a recent focus on leveraging AI/ML technologies.

Expertise in working with all components of a modern web application.

Proficiency in object-oriented programming, systems design, and working with large-scale, low-latency systems.

Experience using frontier-scale LLMs (e.g., GPT, Claude, Gemini) programmatically for developing applications in production environments is a plus.

Experience working with SQL and RDBMS (PostgreSQL preferred) and data warehousing solutions.

Strong software engineering practices, including coding, unit testing, code reviews, and design documentation.

B.S. or higher in Computer Science (or equivalent work experience).

Qualifications - Business Skills

Passionate about crafting innovative, user-centric solutions, solving intricate technical problems, and making a tangible impact.

Highly curious about engineering beyond immediate discipline with a desire to stay at the cutting edge of applied AI.

Driven by the challenge of creating elegant, intuitive, and user-friendly products.

Self-directed, independent, and experienced in owning complete features and products.

Fearless in stepping outside their comfort zone to tackle various challenges and opportunities as we rapidly grow the product and team.

Proactive in sharing thoughts and input; we value open communication over a heads-down environment.

Experience working with Agile methodologies.

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