Senior Backend & Infrastructure Engineer-Full Time (US /LATAM)

Very Good Ventures

5h•$198,000 - $220,000•Remote

About The Position

Very Good Ventures (VGV) is a global consultancy specializing in delivering elegant solutions with disruptive technologies. VGV is a product consultancy with engagements across various clients, stacks, and constraints, focusing heavily on cloud infrastructure and AI agents/infrastructure. This role requires an individual who can quickly adapt to new projects and technologies, maintain credibility, and manage projects from initial sales conversations to production deployment. This is a consulting role demanding deep engineering expertise, where the individual will lead the backend, infrastructure, and agentic-infrastructure practice, represent this expertise to clients, and contribute to coding. It is not a heads-down platform role at a single product company, but rather an opportunity to shape a practice, build client trust, gain exposure to multiple projects, and write impactful code.

Requirements

8+ years as a Backend or Full Stack Engineer, with a strong emphasis on DevOPps, programmatic infrastructure, or Site Reliability Engineering.
Demonstrated experience building and scaling production AI-powered services or agents; systems that ran in production are required, not just prototypes.
Deep expertise in infrastructure-as-code and cloud resource management, with an understanding of principles applicable across different tools and vendors.
Strong experience with at least one major cloud platform (GCP, AWS, or Azure).
A track record of designing and scaling production backends, building custom services, and effectively utilizing cloud managed services.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with feature-flagging and staged rollouts.
Experience implementing and running observability, logging, and alerting systems.
Comfortable operating in fast-paced environments with evolving requirements.
Comfortable operating in a client-facing consultancy environment, having represented an engineering practice to external stakeholders (e.g., consultancy, agency, forward-deployed, solutions architect).
Ability to establish organizational-level standards or practices and drive their adoption.
Confident, fluent written and spoken English, with the ability to command a room and translate technical concepts for non-technical executives.

Nice To Haves

Certification from one or more cloud platforms (GCP, AWS, or Azure).
Anthropic or other AI certification (e.g., Claude Certified Architect Foundations).
Public technical credibility through talks, writing, teaching, or open-source leadership.
Experience at a consultancy or agency.

Responsibilities

Act as the credible technical voice in pre-sales and client conversations, helping to scope engagements, shape technical direction, and set achievable expectations.
Partner with business development and leadership to estimate work, phase delivery, and manage margin and delivery risk on fixed budgets and deadlines.
Define and evolve VGV’s backend, infrastructure, and agentic-infrastructure practice, setting standards, patterns, and reusable approaches.
Translate technical decisions for non-technical stakeholders, focusing on business outcomes and risk.
Deliver quality across simultaneous engagements with varying requirements and constraints, and rapidly learn new technology stacks.
Design, build, deploy, and scale production AI agents and their supporting infrastructure.
Establish patterns for observability, cost control, safety, and reliability specific to agentic systems.
Design, implement, and manage cloud infrastructure using infrastructure-as-code tooling (e.g., Terraform, OpenTofu).
Build staged development environments and CI/CD pipelines for rapid, reliable, and automated deployments.
Own observability, monitoring, logging, and alerting for performance, usage, and security.
Set best practices for security, compliance, and cost optimization across cloud deployments.
Build, deploy, and scale backend (micro)services with a focus on high-availability and resilience.
Design and maintain backend APIs and integration services, demonstrating strong API design judgment across REST, GraphQL, and gRPC.
Apply backend architectural patterns appropriately and explain the trade-offs involved.
Collaborate with front-end teams on integrations and performance.

Benefits

Passion and enthusiasm for what we create.
REMOTE first and global company.
Subsidized health insurance, dental, and vision coverage (US Based Candidates)
Subsidized health coverage (Non-US Based Candidates)
Generous parental leave.
Flexible PTO and company holidays (US Based Candidates)
Paid Time Off (Non-US Based Candidates)
End of year company shut down (December 25 - January 1), in addition to observing company holidays (US Based Candidates)
End of year company shut down (December 25 - January 1), in addition to observing country holidays (Non-US Based Candidates)
12 -16 weeks universal fully paid family leave (US Based Candidates)
Other benefits available based on location.