Senior Backend Engineer at AKKIO INC

, , United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

0.0

Posted On

23 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, REST APIs, Database Design, AWS, GCP, Azure, DevOps, Distributed Architectures, Data Processing Pipelines, System Scalability, AI/ML Model Deployment, Docker, Kubernetes, LLMs, Backend Architecture, Performance Optimization

Industry

Software Development

Description

ABOUT AKKIO Akkio is the AI infrastructure platform that powers and automates workflows across the media ecosystem. Embedded directly in customers' cloud environments, Akkio transforms data into intelligent workflows - helping teams move faster, make better decisions, and deliver results in minutes instead of days. We're a fast-growing team building the future of AI-enabled operations, and we're looking for talented people to join us to shape the future of media work. THE OPPORTUNITY As a Senior Backend Engineer at Akkio, you will play an essential role in architecting and building the robust server-side infrastructure that powers our AI-driven data analytics platform. You'll lead technical initiatives for scalable systems that handle large amounts of data and drive innovation in our core backend technologies to help our customers transform how they leverage data throughout the campaign lifecycle. This is a unique opportunity to join a well-funded, early-stage AI startup and shape the future of AI-powered marketing analytics while working with a talented team. You'll be joining at an exciting growth stage, with the chance to make a significant impact on our technical direction and company success. WHAT YOU'LL DO * Lead the design and architecture of backend systems and APIs to support development of customer-facing AI agents. * Take full ownership of complex technical projects from planning to deployment * Collaborate with engineers, data scientists, and marketing experts to create products that help media agencies achieve their goals * Build and maintain infrastructure for AI/ML model deployment and inference * Design and build highly scalable systems that handle large volumes of data processing and analysis * Drive improvements in system reliability, performance, and scalability to support our growing customer base * Implement security and compliance measures to protect sensitive client data * Mentor junior engineers and establish backend engineering best practices * Create and enforce software development standards, including code quality and testing * Optimize cloud resource utilization and cost-efficient infrastructure strategies * Communicate project milestones and progress clearly to stakeholders WHO YOU ARE * 5+ years of backend engineering experience with demonstrated ability to solve complex technical challenges * Experience building and debugging large scale systems and distributed architectures * Strong experience writing maintainable, testable, production-grade Python code * Deep understanding of REST APIs, database design, and complex system architectures * Strong background with cloud infrastructure (AWS, GCP, and/or Azure) and modern DevOps practices * Understanding of data processing pipelines, data storage solutions, and analytics architectures * Experience with performance optimization and scalability challenges * Strong bias to execution coupled with high engineering standards and attention to detail * Interest in AI and machine learning (experience a plus, but not required) * Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience) Bonus Points: * Strong experience with large language models (LLMs) and their applications in data analytics * Knowledge of data visualization and analytics tools * Experience with containerization and orchestration (Docker, Kubernetes) * Understanding of security best practices for handling sensitive data * Previous startup experience, particularly in early-stage companies * Familiarity with frontend technologies and full-stack development WHY YOU'LL LOVE WORKING HERE Join Akkio and help transform how media companies leverage AI in marketing and advertising. You'll be at the forefront of applying AI technologies to solve real business problems in a rapidly evolving industry. AI will transform every industry – but only when it's accessible to everyone, not just data scientists. You'll have a direct impact on product direction and company growth while working with major clients in the media space. This is a rare opportunity to get in on the ground floor of a well-funded AI startup where your vision directly shapes how thousands of marketing professionals interact with AI technology. Our culture is built around shared wins, so success drives large career, financial, and personal growth. We offer competitive compensation, including substantial equity grants, flexible work arrangements, comprehensive healthcare benefits, and professional development opportunities. ADDITIONAL INFORMATION * Location: Remote-first company with no central office location. This position is fully remote. * Compensation: Competitive salary range depending on experience, plus substantial equity grants * Benefits: Health, dental, and vision insurance; 401(k) plan; generous PTO policy * Authorization: Must be authorized to work in the US Akkio is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills, and we believe that the more inclusive we are, the better our work will be. To all recruitment agencies: Akkio does not accept agency resumes. Please do not forward resumes to our jobs alias or Akkio employees. Akkio is not responsible for any fees related to unsolicited resumes.

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Responsibilities

Lead the design and architecture of scalable backend systems and APIs to support AI-driven data analytics and customer-facing AI agents. Take full ownership of complex technical projects from planning to deployment while mentoring junior engineers and establishing engineering best practices.