InvestorFlow is the only company of its kind to deliver industry specialized CRM, built on Salesforce, and digital portals to help alternative asset firms find opportunities, create and manage relationships, and turn relationship insights into action with increased productivity and transparency.
InvestorFlow is the only company of its kind to deliver industry specialized CRM, built on Salesforce, and digital portals to help alternative asset firms find opportunities, create and manage relationships, and turn relationship insights into action with increased productivity and transparency.
InvestorFlow is an investor and deal engagement platform that prioritizes intelligent digital experiences, productivity, and engagement. Our cloud-native platform integrates deal flow management, fundraising, reporting, and investor services. We are proud to serve over 175 clients, including 25 of the top 50 alternative asset managers, managing more than $6 trillion in assets, 750 funds, and 90,000 LPs. Headquartered in San Francisco, California, we are committed to driving innovation and inclusivity in the financial industry. To learn more about our company, please visit www.investorflow.com.
You Will:
Strategy and roadmap. The DevOps/SRE strategy for the InvestorFlow platform, aligned to measurable outcomes across reliability, delivery throughput, and cost.
The team. Leading, hiring, and developing technical leads, senior and mid-level engineers across DevOps and SRE, and setting priorities across infrastructure, CI/CD, security, and production support.
Cloud platform ownership. Reliability, performance, and cost-efficiency across DEV, QA, STG, and PRD -compute, data, secrets management, caching, and networking/edge security. Azure is our primary platform, with a supporting AWS and Snowflake footprint.
CI/CD and release engineering. GitHub Actions end to end, multi-region deployment automation, advanced deployment strategies (blue/green, canary, rolling) and rollback, plus security scanning, compliance checks, and vulnerability management embedded in the pipeline.
Infrastructure as code. Terraform practice and standards that standardise provisioning and reduce manual, ticket-driven infrastructure work.
Automation-first operating standard. Setting and holding the expectation that repeatable work is codified rather than performed, across provisioning, releases, access, remediation, and reporting, and driving developer enablement through self-service tooling that increases engineering capacity while maintaining controls.
Identity and access. Enterprise directory services, role-based and privileged access controls, Auth0 machine-to-machine credentials, and least-privilege access across engineering and QA.
Incident response and resilience. Escalation paths, root-cause analysis and postmortems, production readiness reviews, automated failover, and our disaster recovery and RTO/RPO commitments. You are the escalation point for high-severity incidents and major client environment changes, ensuring appropriate change management and CAB governance, with occasional off-hours support for the teams.
Observability and service levels. SLO/SLA and monitoring strategy across Grafana and our wider observability tooling, building alert coverage that is meaningful rather than noisy.
AI in engineering operations. The operational rollout of AI-assisted engineering and support tooling: automated triage, agent-based workflows, and developer-facing AI capability.
Architectural review and technical governance. Reviewing significant infrastructure and platform change with a security- and compliance-first lens, ensuring designs meet our obligations by default rather than by exception, and owning the shared-responsibility operating model between DevOps/SRE and product engineering.
Vendor and cost management. Relationships across cloud, security, CI/CD, and observability platforms, including spend and renewal negotiation.
You Have:
8+ years in DevOps, SRE, or infrastructure engineering, including 3+ years leading and developing engineering teams.
Deep hands-on Microsoft Azure experience at production scale: compute, data, secrets, identity services, networking and WAF, and cost/capacity management. Azure depth is essential for this role.
Strong CI/CD and release engineering background (GitHub Actions and/or Azure DevOps Pipelines) and infrastructure as code with Terraform, including module development and state management.
Production support and incident response experience for a multi-tenant SaaS platform.
Containerisation and orchestration in production (Docker, Kubernetes).
Solid grounding in identity and access management (role-based and privileged access, SSO/SAML, OAuth/Auth0) and secrets management practices.
A genuine automation-first instinct, backed by strong scripting (Python, Bash, PowerShell or similar) and a track record of replacing manual process with reliable, supportable tooling.
Networking fundamentals (TCP/IP, DNS, load balancing) and the ability to partner effectively with network and security teams.
Observability experience with Grafana, Prometheus, or equivalent, and a track record of building signal rather than noise.
Comfort operating in a security and compliance-conscious environment: financial services, private markets, or another regulated industry, including audit, penetration testing, and data retention requirements.
Excellent written and verbal communication, able to translate infrastructure risk and trade-offs for engineering peers, executives, and clients.
The judgement to know when to go deep technically and when to lead through others.
Nice to have: AWS exposure alongside Azure, Snowflake or another cloud data platform, CDN and edge platforms (Cloudflare or similar), Redis, event-driven or message-oriented middleware (Kafka, Azure Service Bus), and prior experience in private equity, private credit, real assets, or capital-markets SaaS.
