The Back-end Software Engineer will design and develop applications, analyze data for improvements, collaborate on functionality, and optimize performance in a cloud-based environment.
We are looking for an analytical, results-driven back-end software engineer, who will work with team members to troubleshoot and improve current back-end applications and processes. The Back-end Engineer will formulate more efficient processes, solve problems, and create a more seamless experience for users. You should have excellent coding and communication skills.
To succeed as a backend engineer, you should be focused on creating impact, and the best end-user experience. You should be an expert in programming, multiply efficiency through AI tools usage, collaborative, and motivated.
Responsibilities
- Design and implement high-complexity projects from scoping to production.
- Apply a data-driven approach to a wide variety of signals to identify, understand, and scope emerging fraud trends and uncover root causes.
- Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
- Analyze data and processes to troubleshoot problems and identify areas for improvement.
- Collaborating with the front-end engineers and other team members to deliver functionality to enhance the user experience.
- Developing ideas for new products, or features by monitoring industry developments and executing quick proof of concepts.
Requirements
- 3-5 years of experience in a post-academic cloud-based software environment
- Experience in a peak performance organization, preferably a tech start-up
- Strong Computer Science fundamentals in object-oriented design, data structures, distributed systems, algorithm design, problem solving and complexity analysis.
- Fluency or understanding of specific languages, such as Typescript, NodeJS, or Python, and operating systems.
- Knowledge of AI LLMs, prompt engineering and Agentic AI frameworks would be a huge plus.
- Strong understanding of the development cycle and programming techniques and tools.
- Conduct code tests and optimize performance (Unittests and automation testing).
- Experience in building high-performing APIs.
- Experience with SQL/NoSQL databases (MySQL, Postgres, Elasticsearch, Cassandra etc.)
- Experience with Messaging queues (SQS, RabbitMQ, similar)
- Quick learner and fast to adapt to new changing dynamics.
- Understanding of infrastructure & application deployment models (Kubernetes, Docker, AWS/GCP/Azure)
- Caching strategies (server/client) and tools (Memcache, Redis, Varnish, CloudFront, Akamai)
Our Tech Stack
- NodeJS
- Python
- Rust
- PostgreSQL
- Elasticsearch
- Scylla/Cassandra
Why Bolster
Bolster is redefining fraud and brand protection. Our AI-driven SaaS platform detects and takes down phishing and scam sites in real time, protecting the world’s top brands and millions of consumers.
Our culture values collaboration, curiosity, and ownership — every team member has a voice and an impact. We believe in building elegant, scalable solutions while maintaining a spirit of experimentation and fun.
Learn more about our cultural values: bolster.ai/about-us
What we offer:
-Excellent medical, dental, and vision insurance
-Flexible time off + paid holidays.
-Equity + 401(k) plan
Top Skills
Akamai
AWS
Azure
Cassandra
Cloudfront
Docker
Elasticsearch
GCP
Kubernetes
Memcache
MySQL
Node.js
NoSQL
Postgres
Python
RabbitMQ
Redis
SQL
Sqs
Typescript
Varnish
Bolster Los Altos, California, USA Office
4940 El Camino Real, Los Altos, CA, United States, 94022
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop and optimize a core database platform using C/C++, collaborate with teams, and analyze system performance. Lead junior engineers and integrate AI into workflows.
Top Skills:
AIC++PostgresSQL
Fintech • Machine Learning • Payments • Software • Financial Services
Lead Software Engineer responsible for managing technology projects, mentoring developers, and delivering cloud-based solutions using diverse technologies while collaborating with product managers.
Top Skills:
Aws ToolsDockerGoJavaKubernetesNode.jsNoSQLOpen Source RdbmsPythonScalaSQL
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Backend Software Engineer, you will lead complex projects, mentor junior engineers, and enhance backend applications using various programming languages.
Top Skills:
AWSAzureCassandraDynamoDBGCPGoJavaKotlinNoSQLOraclePostgresPythonRdbmsScala
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
