Senior Software Engineer, Infrastructure at Decagon

San Francisco, California, United States

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$250,000 – $375,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Conversational AI, TechnologyIndustries

Requirements

6+ years building and operating production infrastructure at scale
Depth in at least one area across Core/Data/AI-ML/Platform/Voice, with curiosity to learn the rest
Proven track record meeting high availability and low latency targets (owning SLOs, p95/p99, and load testing)
Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and incident response (PagerDuty, SLO/error budgets)
Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs
Even better
Experience being an early backend/platform/infrastructure engineer at another company
Strong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, and Azure)
Experience with customer-managed deployments

Responsibilities

Design and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry
Partner with research and product teams to architect solutions, set up prototypes, evaluate performance, and scale new features
Tune service latencies: optimize networking paths, apply smart caching/queuing, and tune CPU/memory/I/O for tight p95/p99s
Evolve CI/CD, golden paths, and self-service tooling to improve developer velocity and safety
Support various deployment architectures for customers with robust observability and upgrade paths
Lead infrastructure-as-code (Terraform) and GitOps practices; reduce drift with reusable modules and policy-as-code
Participate in on-call and drive down toil through automation and elimination of recurring issues

Skills

Key technologies and capabilities for this role

InfrastructureNetworkingComputeStorageSecurityInfrastructure-as-CodeData PlatformsStreamingBatch ProcessingML ServingGPULLM InferenceCI/CDTelephonyWebRTCObservabilityKubernetesAWS

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The salary range is $250K - $375K.

Is this role remote or in-office?

Decagon is an in-office company.

What skills are required for this Senior Infrastructure Engineer role?

Key skills include designing and implementing infrastructure services with SLOs, optimizing latencies in networking, caching, and resource tuning, evolving CI/CD and self-service tooling, and supporting deployment architectures with observability.

What is Decagon's company culture like?

Decagon emphasizes in-office work driven by commitment to excellence and velocity, with values including customers are everything, relentless momentum, winner’s mindset, and stronger together.

What makes a strong candidate for this infrastructure engineering role?

Strong candidates have experience owning critical services end-to-end, partnering with research and product teams to scale features, and delivering high-scale, low-latency systems with reliability, performance, and developer ergonomics.

Decagon

Generative AI solutions for customer support

About Decagon

Decagon.ai provides generative AI solutions designed to improve customer support and operational efficiency for various clients, from large enterprises to growing startups. Their tools automate complex data processes, helping businesses identify themes, detect anomalies, and extract valuable insights from customer interactions. The AI-powered assistance offered by Decagon.ai takes care of routine tasks and learns from human agents, which boosts productivity and enhances customer satisfaction. Unlike many competitors, Decagon.ai focuses on deeply integrating its scalable solutions with clients' internal systems, ensuring smooth automation and support. The company operates on a subscription-based model, allowing clients to access their AI tools and support services. Notable clients include Bilt, Fourthwall, and Vanta, who utilize Decagon.ai's technology for automating ticketing, supporting creators, and improving pre-sales processes.

San Francisco, CaliforniaHeadquarters

2023Year Founded

$97.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Meal Benefits

Risks

Increased competition from AI giants like OpenAI and Google threatens Decagon's market share.

Over-reliance on key clients like Bilt and Vanta poses a potential business risk.

Rapid technological advancements could render Decagon's solutions obsolete without continuous innovation.

Differentiation

Decagon.ai offers AI solutions that enhance customer support and operational efficiency.

Their AI-powered agent assistance handles mundane tasks, improving productivity and satisfaction.

Decagon.ai's tools automate complex data processes, unlocking valuable insights from interactions.

Upsides

Increased demand for AI-driven customer support solutions enhances Decagon's market potential.

Growing interest in AI automation tools boosts Decagon's client acquisition opportunities.

Shift towards subscription-based AI services aligns with Decagon's scalable business model.

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