Principal Software Engineer - Deployment Strategist

Summary

Join Veritone's AI Solutions Group as a key member of a newly formed consulting and services team. You will work at the intersection of data, technology, and strategy, collaborating with clients to solve critical challenges using advanced software platforms. This role demands technical expertise, analytical rigor, strategic thinking, and strong interpersonal skills. You will design, build, and champion robust software solutions, transforming data modernization into actionable AI solutions. Your work will have a tangible impact across various industries. The position requires a minimum of 5 years of experience building high-performance systems and expertise in programming languages like Node.js and Golang.

Requirements

• Proven success working in a Client-facing capacity while playing a Team Lead role within a matrixed team framework
• Minimum of 5 years of professional hands-on experience building high-performance, reliable systems in a complex, multi-tiered and distributed environment
• Expertise in designing and implementing services in a variety of programming languages, e.g. Node.js and Golang
• Excellent verbal and written communications skills
• Professional experience with RDBMSs and NoSQL Databases
• Successful deployment of production code at scale
• Strong problem-solving and analytical skills
• Proven track record of writing highly factorable and maintainable code which includes unit tests, readable code, and decent implementations of design patterns
• Expertise with learning new technologies and familiarity with our tech stack: Jasmine Framework · JavaScript · Node.js · Jest.js GraphQL · Apollo GraphQL · Go (Programming Language) · PostgreSQL · Postgres · Amazon Web Services (AWS) · Docker · Github
• Bachelor’s in Computer Science or related Technical field (solid knowledge of CS fundamentals: OOP, design patterns, algorithms, etc…)
• Experience and a desire to work in a fast-paced environment
• Strong desire to work on the next generation of Artificial Intelligence applications

Responsibilities

• Partnering with clients to understand their operations and challenges
• Developing and deploying data-driven workflows and analytics tools
• Facilitating collaboration between technical teams and non-technical stakeholders
• Ensuring adoption of software solutions through training and support
• Delivering measurable outcomes aligned with client goals
• Write scalable code across the technology stack to help facilitate hundreds of AI engines, an intelligent data lake, APIs, workflow tools and various industry applications
• Design and implement GraphQL API services in Nodejs, Golang using open source technologies including Docker, Jenkins, PostgreSQL, Git version control and more
• Exemplify what it means to build optimized and efficient code
• Design, develop, test, debug and maintain software code for our high-performance business applications
• Lead the engagement with Product and Engineering teams to build or enhance applications and services
• Lead new designs, leveraging the ideas from the team to come up with the optimal solutions
• Leverage code reviews, design discussions, and other engagements as an opportunity to level up your team
• Analyze and optimize backend application code for efficiency
• Partner with product, design and infrastructure teams to build, design and enhance our applications and services
• Take ownership of your team’s commitments, assisting when needed, and encouraging the team to meet their commitments
• Model how the team and organization can improve
• Establish and maintain relationships with people from other engineering teams, functional areas, and business units
• Influence the whole team, making an impact across the board, not just on specific parts of it
• Model thoughtful risk-taking, pointing to examples from your past as a guide. Taking on tough assignments, using these assignments to mentor others on the team, accelerating their career growth and encouraging them to participate

Preferred Qualifications

• Development experience with Data and AI consulting services, system integrators or managed service providers
• Technical acumen in B-to-B SaaS/PaaS, Cloud, and Enterprise Software
• Knowledge of artificial intelligence workflows
• Understanding of online software (SaaS) services and technology-based solutions
• Strong understanding of AI solutions and AI enablement across multiple industry verticals
• Demonstrated experience utilizing AI tools and/or engines

Benefits

• Health benefits
• Retirement benefits
• Life insurance
• Paid time off
• Parental leave and benefits
• Incentive compensation
• Other employee perks and benefits
• Remote first workplace