Professional Services EngineerFarsight AI | New York, NY (4 days in office/week)
The RoleFarsight's customers are some of the most security-conscious institutions in the world. Many of them require Farsight to run inside their own cloud environment or on-premise, and every deployment comes with its own network, identity, compliance, and change control requirements. As a Professional Services Engineer, you will be the technical expert who makes those deployments happen.
You will work hands-on with our customers' IT, security, and infrastructure teams to scope, architect, and deliver Farsight deployments across our three models: Farsight-hosted VPC, customer cloud, and on-premise. Think of it as the customer-facing side of cloud infrastructure engineering. You will bring a deep understanding of cloud infrastructure, enterprise security, and delivery best practices, and you will translate our platform into something a bank or PE firm's IT team can approve, deploy, and trust.
What You'll Do- Lead the technical delivery of customer deployments, including customer VPC, customer cloud, and on-premise environments, from kickoff through production go-live.
- Partner with customer IT, security, and infrastructure teams to review architecture, network topology, identity and access requirements, and data flows, and drive technical approvals to closure.
- Support pre-sales technical scoping, including dataflow diagrams, architecture documentation, and responses to security and compliance questionnaires, so engineering and leadership are not pulled into each new customer request.
- Work with Strategy and Ops and GTM to confirm technical feasibility before commitments are made to customers, and communicate constraints clearly in both directions.
- Build and maintain deployment automation using infrastructure-as-code (AWS CDK, CloudFormation, Terraform) so every customer deployment is repeatable, auditable, and secure.
- Design and document runbooks, reference architectures, and onboarding playbooks, and run knowledge transfer sessions so customer teams can operate and maintain their environments.
- Troubleshoot deployment and integration issues in customer environments, working with Infrastructure and Platform Engineering to resolve root causes and feed fixes back into the product.
- Serve as the technical voice of the customer internally, surfacing recurring deployment friction and customer requirements to inform the infrastructure and product roadmap.
- Support customer technical escalations and post-deployment health, including monitoring, upgrades, and change control coordination.
Who You Are- 5+ years of experience in cloud infrastructure engineering, DevOps, solutions architecture, or professional services and consulting, with a strong customer-facing component.
- Deep knowledge of AWS services (ECS, EC2, Lambda, S3, CloudFront, CloudWatch, RDS, IAM, SSM, VPC networking) and experience designing and deploying production workloads on AWS.
- Strong proficiency with infrastructure-as-code tools (AWS CDK, CloudFormation, Terraform) and containerization and orchestration (Docker, Kubernetes).
- Experience deploying software into enterprise or regulated customer environments, including navigating security reviews, network restrictions, and formal change control processes.
- Solid understanding of cloud security and compliance frameworks (SOC2, GDPR, ISO) and the ability to speak credibly with customer security and compliance teams.
- Strong communicator who can explain complex infrastructure concepts to both technical and non-technical stakeholders, and who builds trust quickly with senior customer counterparts.
- Comfortable operating independently with limited structure, managing multiple customer engagements at once, and figuring things out without an existing playbook.
- Able to write clear technical documentation, architecture diagrams, and runbooks.
- NYC-based and able to work onsite, with willingness to travel to customer sites as needed.
Above and Beyond Qualifications- Prior experience in a professional services, solutions architecture, or forward-deployed role at a cloud provider or enterprise software company.
- Experience deploying software into on-premise or air-gapped environments.
- Experience with customer cloud deployments across AWS, Azure, and GCP.
- Experience deploying infrastructure for generative AI or machine learning workloads.
- Experience in financial services or other heavily regulated industries.
Compensation- Salary range: $170,000 to $200,000 annually, commensurate with experience.
- Equity: Meaningful early-stage package with standard vesting (4 year / 1-year cliff)
- Comprehensive medical, dental and vision insurance
- Unlimited PTO
