Silver.dev

Frontend Engineer

• Build features on responsive web and native applications
• Leverage AI tools into their workflow to maintain efficiency
• Fix bugs and issues that comes up
• Work and collaborate with product and design teams
• Attend all required project meetings

Front-end Engineer

Backend Engineer

• Develop and maintain existing legacy or new applications
• Ensure the best possible performance, quality, and responsiveness of applications.
• Analyzing requirements and designing new functionality.
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues.
• Leverage AI tools into their workflow to maintain efficiency

Backend Engineer, Python

Full-stack Engineer

• Compete head-to-head with American talent and beat them aggressively in quality.
• A superb application for this position is required.
• A live coding session with Gabriel Benmergui.

Fullstack Engineer

DevOps Engineer

• Design, build, and maintain Python-based backend services and REST APIs
• Own data models and query optimization across MongoDB and PostgreSQL
• Write clean, tested, production-grade code and participate in code review
• Build internal tooling and automation scripts to accelerate the team
• Containerize services with Docker and manage deployment configs
• Debug and resolve application-layer issues quickly, in direct collaboration with engineering
• Administer our AWS environment (EC2, ECS, RDS, IAM, networking)
• Build, maintain, and optimize CI/CD pipelines; manage self-hosted and cloud build agents
• Own our observability stack (Datadog): dashboards, alerts, log pipelines, and metrics
• Help manage cloud-native services like Elasticsearch and Kafka, with a focus on deployment and monitoring
• Implement DevSecOps best practices: access control, secret management, auditing, and certificate renewals
• Maintain SOC 2 compliance controls and contribute to audit readiness
• Write clear technical documentation and lead incident retrospectives to drive reliability improvements

Backend and DevOps Engineer – Mid-level

• Own the React frontend end-to-end: architecture, feature delivery, performance, and polish.
• Collaborate closely with design to translate Figma files into high-quality, production-ready interfaces.
• Own and evolve the design system and shared component library.
• Integrate with Dynamic.xyz for multi-chain wallet connectivity.
• Build transaction signing flows, real-time balances, and portfolio dashboards.
• Connect the frontend to the Node.js / TypeScript API.
• Build and maintain reusable frontend patterns and standards.
• Write E2E tests with Playwright and component tests with Jest + React Testing Library.
• Set up frontend observability, error tracking, and analytics.

Staff Frontend Engineer

Engineering Manager

• Own the technology strategy & roadmap aligned with business and product OKRs.
• Define the reference architecture for agentic systems (LLMs, tool orchestration, data plane, safety/guardrails, evals).
• Establish security & compliance baselines (IAM, secrets, data privacy; SOC2-readiness) and cost governance (FinOps).
• Ship backend services in Python/TypeScript; drive high-impact PRs and code reviews.
• Orchestrate agents and toolchains, integrate external APIs/DBs, and build robust pipelines.
• End-to-end DevOps: AWS/GCP, containerization, IaC (Terraform/CDK), CI/CD, observability, and on-call design.
• Reduce tech debt, improve latency/throughput, and manage infra cost per workflow/client.
• Define SLOs and error budgets; reduce MTTR and change-fail rate.
• Drive post-mortems and preventive engineering.
• Hire, mentor, and level up engineers; install rituals of quality and focused execution.

Head of Engineering

• Build Interactive AI Interfaces
• Orchestrate AI Integrations
• Architect for Latency
• Maintain & Scale the Core
• Collaborate Cross-Functionally

Full Stack Engineer, Ruby/React

QA Engineer

• Own Test Automation
• - Build and maintain our E2E test automation framework using Playwright
• - Create and expand regression test suites covering critical advisor workflows—login, client views, conversation flows, insights display, and recommendation panels
• - Implement visual regression testing to catch UI inconsistencies across browsers and devices
• - Set up component-level testing with React Testing Library + Vitest for frontend isolation
• Establish Quality Infrastructure
• - Integrate automated test suites into CI/CD pipelines (GitHub Actions) — tests run on every PR, nightly full regressions, and post-deployment smoke tests
• - Set up and maintain error tracking and monitoring (Sentry) to catch production issues proactively
• - Build test coverage dashboards so the team has visibility into what’s tested and what’s not
• - Own the release testing checklist—define what must pass before any deployment goes to production
• Define QA Process
• - Create a bug taxonomy and triage process—severity levels, SLAs, reproduction templates
• - Manage bug tracking workflows across Linear and Notion
• - Define the QA sign-off process—no feature ships without QA approval on acceptance criteria
• - Every confirmed bug gets an automated regression test so it never recurs
• Ensure Production Readiness
• - Audit the app end-to-end—document every user flow, edge case, and known issue
• - Perform cross-browser and cross-device testing—advisors use Sophie on different setups during client meetings
• - Establish performance baselines—load times, streaming response rendering, interaction responsiveness
• - Build and own the pre-launch quality gate for our production release

QA Engineer – Part Time

• Own the Advisor Experience
• Build and refine the dashboard where advisors interact with Sophie
• Design conversation views, client insights panels, and recommendation displays
• Make complex AI outputs feel simple and actionable
• Build Streaming UI
• Implement real-time streaming response displays
• Create thoughtful loading states and progressive disclosure
• Help users understand what the AI is doing—not just wait for results
• Establish Design Systems
• Create consistent, reusable component patterns
• Document and maintain a component library that accelerates development
• Ensure new features feel cohesive with existing product
• Optimize Performance
• Ensure fast load times and smooth interactions
• Handle edge cases gracefully—advisors use Sophie during client calls
• Focus on perceived performance as much as actual metrics

Fullstack Engineer, Frontend Focus

• Own the AI Pipeline
• Design and optimize our multi-agent orchestration system
• Implement parallelization and streaming to dramatically reduce response latency
• Build robust prompt management with versioning and A/B testing capabilities
• Build RAG Systems
• Design retrieval-augmented generation for accurate, contextual responses
• Work with vector databases, embeddings, and relevance scoring
• Optimize for both speed and accuracy at scale
• Develop Production APIs
• Build developer-friendly APIs connecting our AI capabilities to the frontend
• Design for future integrations with CRMs and advisor tools
• Implement proper authentication, rate limiting, and documentation
• Shape the Foundation
• Establish code review practices and testing standards
• Document architecture decisions for future team members
• Contribute to technical patents and IP development

AI Backend Engineer

• Own a meaningful subset of product surfaces end-to-end and ship meaningful code weekly.
• Turn priorities into clear execution plans: milestones, sequencing, owners, and ETAs.
• Raise release quality: staging validation, deploy readiness, fewer regressions, and clean rollbacks.
• Improve staging validation, deploy readiness, and QA loops for product changes.

Senior Software Engineer – AI Advisory Platform

• Develop and enhance robust product features across the frontend and backend.
• Help improve code quality, workflow and test coverage over time.
• Participate in documenting and scoping of features and their architecture.
• Optimize UI and API performance incrementally.
• Manage and reduce technical debt proactively.
• Take ownership of each project in their different phases: scoping and prototyping, building and testing, release and monitoring.
• Support and expand data analytics reports for the broader team.