Raydar Logo

Raydar

Senior Software Engineer

Posted 29 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-280K Annually
Senior level
In-Office
San Francisco, CA, USA
200K-280K Annually
Senior level
Own the technical delivery of reliable, scalable software across backend services and applications. Architect high-throughput systems, handle large datasets, launch and refine applications, and contribute to technical direction and engineering practices. The role requires pragmatic execution in a fast-paced, ambiguous environment, collaboration with peers, and participation in recruiting activities including sourcing, interviewing, and making offers.
The summary above was generated by AI

About the company

Our client is a financial technology company.

The role

Raydar is recruiting for this role on behalf of our client. Own the technical delivery of software that must stay reliable as usage grows, working across backend services and the applications on top of them. The pace is fast and the scope is broad, with plenty of room to shape technical direction.

What you'll do

- Architect and ship dependable software that holds up under increasing load.

- Build backend services that process heavy data volumes with high throughput.

- Launch new applications and larger projects, then refine them using real-world feedback.

- Make pragmatic tradeoffs to move quickly, accepting rough edges where speed matters.

- Contribute to technical decisions and help shape how the engineering team works.

- Hold a high quality bar and collaborate closely with talented peers.


Requirements

What we're looking for

- At least 7 years of hands-on software engineering experience delivering systems that run in production and scale well.

- Comfort working quickly and delivering early versions that may be rough around the edges.

- Background handling large datasets and designing backend services for heavy traffic.

- A history of shipping and iteratively improving applications or substantial software initiatives.

- Comfort with ambiguity and a willingness to take risks and chart your own path.

- Experience with recruiting activities such as sourcing, interviewing and making offers.

Bonus points

- Experience in financial services or fintech.

- Cloud infrastructure experience, including AWS and container orchestration.

- Experience working with Python and React at scale.


Benefits

Compensation and benefits

- Base salary: USD 200,000 to 280,000 per year

- Health, dental and vision coverage

- Flexible time off

- Retirement plan

Location and work model

- San Francisco, CA, United States or New York City, NY, United States

- On-site

- Full-time

Similar Jobs

8 Hours Ago
In-Office or Remote
7 Locations
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build developer tooling and agent workflows that help engineers safely modify large monorepos. Develop CLIs, desktop integrations, agentic loops, observability interfaces, guardrails, tests, and automation. Lead framework upgrades, language migrations, dependency updates, and large refactors while improving developer workflow, codebase health, adoption, and engineering productivity. Set technical direction and mentor engineers on agent design and tooling.
Top Skills: Autonomous Ai AgentsCi/CdCliDesktop IntegrationsMonoreposOpentelemetryTest Infrastructure
Yesterday
Remote or Hybrid
United States
195K-225K Annually
Senior level
195K-225K Annually
Senior level
Artificial Intelligence • Healthtech • Logistics • Social Impact • Software • Telehealth
Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.
Top Skills: Aws AmplifyAws AppsyncAws CloudformationAws LambdaBigQueryDynamoDBElasticsearchGraphQLKibanaLookerNode.jsOpensearchPythonReact NativeReact Native For WebStatsigTypescript
Yesterday
Hybrid
Santa Clara, CA, USA
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain compute infrastructure, scheduling, capacity, and resource-management systems across private and public clouds. Develop software-defined infrastructure, automation, performance tests, forecasting tools, and reliability improvements. Collaborate with networking, orchestration, and SRE teams, participate in design reviews and on-call rotations, investigate incidents, and explore AI or ML for capacity and placement optimization.
Top Skills: AnsibleAWSAzureBlock StorageCloud InfrastructureConfiguration ManagementDnsFile StorageGCPGoHTTPInfrastructure As CodeIp NetworkingJavaKubernetesLinuxLoad BalancersNtpPythonSlurmTerraformVirtualization

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account