> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Senior Software Engineer, Cloud Infrastructure Canonical URL: https://nextmove.md/fde/jobs/e7808131a88984b8 Decagon posts a senior FDE role to build what the customer runs in San Francisco, CA, at $200,000–$400,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Senior Software Engineer on the Infrastructure team at Decagon, building and operating the foundations for a conversational AI platform. Read from the employer’s posting on November 8, 2026. - [Decagon](https://nextmove.md/fde/companies/decagon) Posted Jul 10, 2026 by Decagon · open on Ashby as of Nov 8, 2026 **$200,000–$400,000** + equity San Francisco, CA On-site Full-time Senior Software Engineer on the Infrastructure team at Decagon, building and operating the foundations for a conversational AI platform. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fe7808131a88984b8&placement=top) - [View posting at Decagon](https://jobs.ashbyhq.com/decagon/87d6c46a-365c-4d97-98ca-de7e29b6cf72/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $200K–$400K Above the median Midpoint $300K · median $190K This job $200K to $400K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Both - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **4+ years** building and operating core infrastructure, platform engineering, or infrastructure/DevOps Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 4+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in San Francisco, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time - **Pay**: ## More like this [Anyscale](https://nextmove.md/fde/companies/anyscale) ### [Forward Deployed Engineer - AI/ML Platforms](https://nextmove.md/fde/jobs/ec34a2647dc8d7d6) San Francisco, CA 4mo ago $250,000–$275,000 [Cloudflare](https://nextmove.md/fde/companies/cloudflare) ### [Senior Forward Deployed Infrastructure Engineer](https://nextmove.md/fde/jobs/df0b7e1d2651bcb5) Austin, TX · San Francisco, CA Hybrid 4w ago $194,000–$266,000 [Scale AI](https://nextmove.md/fde/companies/scale-ai) ### [Senior Frontier Agents Engineer (Forward Deployed Engineering)](https://nextmove.md/fde/jobs/67b7c374d76c71b3) San Francisco, CA · New York, NY · +1 more 5mo ago $216,000–$270,000 - [Other jobs at Decagon (11)](https://nextmove.md/fde/companies/decagon) ## The job description from Decagon Posted by Decagon on Jul 10, 2026 ### About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. ### About the Team The **Infrastructure** team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics. Read more about the infra team's work here: https://decagon.ai/blog/what-an-air-gapped-ai-deployment-actually-requires ### About the Role Decagon builds agentic AI that resolves customer support conversations end to end, for companies ranging from fast-growing startups to some of the largest financial institutions in the world. Keeping that system fast, reliable, and secure (across our multi-tenant cloud and inside customers' own locked-down environments) is an infrastructure problem, and that's the problem this role owns. You'll build the platforms and abstractions our product teams ship on, and you'll architect and operate the deployments that run our agents inside enterprise customer clouds, where security, compliance, and operational rigor matter as much as speed. The work is core infrastructure at heart: reliability, CI/CD, deployment automation, on-call. You'll be joining a team with real infrastructure and momentum already in place, but there's no established playbook for running agentic systems at this scale, so a big part of the job is figuring it out as the technology shifts and usage grows by orders of magnitude. ### What you'll do ### Build the platform - Design the development and production platforms that power our products, and the abstractions over cloud infrastructure, Kubernetes, and networking that let engineers ship without becoming infrastructure experts. - Make sure it all scales to the next order of magnitude as usage grows. ### Own enterprise deployments - Take end-to-end ownership of deployment architecture in customer-owned cloud environments (VPC configuration, permissioning, networking, provisioning) and the full lifecycle that follows: setup, upgrades, scaling, and incident support. - Build the runbooks and automation that make it repeatable. ### Keep agentic workloads reliable - Treat monitoring, alerting, and rollback as first-class parts of anything you ship, not afterthoughts. - Own the reliability of the systems our AI agents depend on in production, where latency, availability, and graceful degradation directly shape the customer experience. ### Partner across boundaries - Work directly with customers' platform, security, and DevOps teams to navigate their infrastructure and compliance constraints, and with our Product, Security, Sales, and Customer Success teams to turn customer requirements into concrete deployment plans. ### Your background looks something like this - 4+ years building and operating core infrastructure, platform engineering, or infrastructure/DevOps, ideally with some customer-facing deployment experience. - Deep experience with a major cloud provider (GCP, AWS, or Azure), along with Terraform and Kubernetes at scale. - Strong grasp of cloud networking fundamentals (VPCs, IAM, DNS, load balancing) and how they surface as real deployment constraints. - A track record operating production systems reliably: monitoring, on-call, incident response, and reasoning about failure modes up front. - Comfort navigating ambiguity across a range of stakeholders, from engineers to security and compliance teams, and turning those conversations into actionable plans. - Clear technical writing and a track record of driving adoption across teams. - Comfortable in a fast-moving environment with rapid change. ### Even better if you have - Experience managing deployments in customer-owned cloud environments, including security reviews, compliance requirements, and change management. - Experience building internal platforms or paved roads: service templates, self-serve environments, CI/CD pipeline design, deployment automation. - Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). - Infrastructure-as-code with a security-minded approach to supply chain (provenance, secrets, least privilege). - Experience operating latency-sensitive or ML/AI-serving workloads in production. - Experience using AI-assisted tooling to make yourself and your team dramatically more effective. ### Compensation $200K – $400K + Offers Equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact. In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States. ### Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Parental Leave - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) *These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.* [View posting at Decagon](https://jobs.ashbyhq.com/decagon/87d6c46a-365c-4d97-98ca-de7e29b6cf72/application) ## About Decagon Omnichannel AI concierge platform for enterprises, unifying voice, chat, and email agents with shared memory and workflow execution. Series D · 500–1000 people ## Similar jobs [Databricks](https://nextmove.md/fde/companies/databricks) ### [Sr. Forward Deployed Engineer - Public Sector](https://nextmove.md/fde/jobs/440870dea6def209) Berkeley, CA · Kansas City, MO · +1 more Remote New · 3d ago $182,000–$250,208 [Inferact](https://nextmove.md/fde/companies/inferact) ### [Member of Technical Staff, Forward Deployed Engineer](https://nextmove.md/fde/jobs/70641fd7886753d9) San Francisco, CA Remote 5w ago $200,000–$400,000 [Edison Scientific](https://nextmove.md/fde/companies/edison-scientific) ### [Member of Technical Staff, Cloud Software Engineer](https://nextmove.md/fde/jobs/ec956d3e06abdc40) San Francisco, CA On-site 2mo ago $175,000–$240,000 [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [ML Ops DSX Senior Engineer](https://nextmove.md/fde/jobs/76728b0c4db2d623) Santa Clara, CA · Seattle, WA · US remote Remote 10d ago $184,000–$356,500 [Accenture](https://nextmove.md/fde/companies/accenture) ### [Palantir Forward Deployed Engineer -Assoc Director](https://nextmove.md/fde/jobs/eed6abce4ec9270a) Chicago, IL · Milwaukee, WI · +39 more 2mo ago $138,800–$434,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Decagon and want this page changed or removed? 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