Software Engineer, Backend at Bolster Inc.

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Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

160000.0

Posted On

11 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Software Engineering, Problem Solving, Data Analysis, Collaboration, API Development, SQL, NoSQL, Cloud-Based Software, AI Tools, Object-Oriented Design, Distributed Systems, Algorithm Design, Performance Optimization, Kubernetes, Docker, Caching Strategies

Industry

Software Development

Description

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. \n 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 \n $100,000 - $160,000 a year For California-based candidates, the estimated on-target earnings (OTE) range for this role is dependent on experience, qualifications, and location within the state. The final compensation package will be determined based on these factors and may include a combination of base salary, variable incentives, and benefits in accordance with applicable laws. \n 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

Responsibilities

The backend engineer will design and implement high-complexity projects, applying a data-driven approach to identify and understand emerging fraud trends. They will also collaborate with front-end engineers to enhance user experience and develop new product ideas.