Software Engineer II, Cloud & Productivity Engineering

The Role

TripleLift is a leading advertising technology company revolutionizing the way brands connect with consumers across the web. We are seeking an experienced and driven Software Engineer to join our Cloud & Productivity Engineering team. In this critical role, you will play a pivotal part in designing, building, and maintaining cutting-edge internal development platforms, productivity tools, and GenAI applications that empower our engineering teams to deliver innovative solutions at scale.

Core Technologies

At TripleLift, we embrace a diverse technology stack to tackle complex challenges and deliver innovative solutions. We believe in leveraging the right tools for the right job and continuously exploring new technologies to stay ahead of the curve. Our engineering teams work with a wide range of cutting-edge technologies, including:

• Languages: TypeScript, GoLang, Python, Bash, Java, and more.
• Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP).
• Container Technologies: Docker, Nomad
• Infrastructure as Code: Terraform, Terragrunt
• CI/CD: GitHub Actions, Prometheus, Grafana, Vault, Consul, Puppet.
• Data Engineering: Airflow, Snowflake, Databricks, Redpanda, Kafka Connect.
• Databases: Aerospike, MySQL, PostgreSQL, MongoDB.
• Web Technologies: React, Node.js, and other modern web frameworks.
• AI/ML: Bedrock, Anthropic LLMs, MLFlow, Onnx, PyTorch, Triton and more

Our technology stack is constantly evolving as we embrace new trends and innovations in the industry. We encourage our engineers to stay up-to-date with the latest technologies and contribute to open-source projects, fostering a culture of continuous learning and growth.

At TripleLift, we believe in empowering our engineering teams with the best tools and technologies to tackle complex challenges, drive innovation, and deliver exceptional solutions that revolutionize the advertising technology landscape.

Responsibilities

• Design, develop, and maintain a robust internal developer portal that serves as a central hub for all engineering teams, providing access to documentation, tools, resources, and self-service capabilities. Integrate seamless workflows and automations to streamline processes and foster collaboration across the engineering organization.
• Implement an internal LLM (Large Language Model) platform, leveraging cutting-edge GenAI and conversational AI technologies. Empower teams across the organization to create and deploy custom GenAI-powered applications, chatbots, and intelligent assistants tailored to their specific needs.
• Continuously evaluate and integrate the latest advancements in GenAI, LLMs, and conversational AI technologies into the internal developer platform and LLM platform. Identify and implement innovative solutions to drive productivity, efficiency, and automation within the engineering organization.
• Foster a culture of continuous learning and knowledge-sharing within the engineering organization. Mentor junior engineers, contribute to the development of best practices, coding standards, and internal documentation. Conduct training sessions and workshops to upskill teams on the effective utilization of the internal developer portal and LLM platform.
• Collaborate closely with cross-functional teams throughout the entire software development lifecycle, from requirements gathering and design to development, testing, deployment, and maintenance. Ensure high-quality deliverables, adherence to industry standards and best practices, and seamless integration with existing systems and processes.
• Optimize resource usage and identify cost-saving opportunities within the internal developer platform and LLM platform. Implement strategies to reduce overall expenditure while maintaining high performance, availability, and scalability. Continuously monitor and improve the efficiency and cost-effectiveness of the platforms.
• Actively participate in the broader engineering community, fostering knowledge-sharing and collaboration with external partners, vendors, and open-source communities. Stay abreast of industry trends, emerging technologies, and best practices related to developer productivity, GenAI, LLMs, and conversational AI.

Technical Skills:

• Significant experience as a software engineer with strong knowledge of public cloud infrastructure (AWS preferred).
• Expertise with object-oriented programming language. TypeScript is preferred, Go & Python are acceptable
• Comfortable in building APIs and services with chosen programming language and frameworks.
• Experience in designing, implementing, and integrating infrastructure and backend APIs and plugins with developer platform interfaces.
• Strong understanding of container technologies (e.g., Docker) and containerization best practices.
• Familiarity with software provisioning, configuration management, and infrastructure automation tools (e.g., Terraform, Ansible, Puppet).
• Understanding of application, data, and cloud security best practices.
• Experience with GenAI, LLMs (Large Language Models), and conversational AI technologies is a plus
• Familiar with OWASP secure coding practices
• Strong desire to learn new technologies and skill sets

Soft Skills and Attributes:

• Ownership Mindset and Drive for Achievement
• Passion for Continuous Learning and Automation
• Excellent Organization, Attention to Detail, and Time Management
• Independent Work Ethic and Adaptability to Fast-Paced Environments
• Strong Problem-Solving, Critical Thinking, and Collaborative Skills
• Openness to Feedback and Growth Mindset

Education Requirement

A Bachelor’s degree in a technical subject is preferred, although candidates with relevant experience who hold other degrees will be considered.

Experience Requirement

At least five years of working experience in a professional, collaborative environment.

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