Senior Backend Engineer

About Hunted Labs

Hunted Labs is a software security company that leverages automated threat hunting and unified threat management for the software supply chain.

It’s our mission to defend and empower our clients against cybersecurity attacks by enabling greater visibility, awareness, and control over their software supply chains.

Location: Fully Remote, USA

About the Software Engineer, Backend Engineering

Are you passionate about building scalable, high-performance backend systems? Do you thrive on designing reliable services, optimizing cloud infrastructure, and solving complex engineering challenges? If so, Hunted Labs is looking for a Senior Software Engineer specializing in Backend to help shape the future of our cutting-edge security platform, EnterceptTM.

As a key member of our engineering team, you’ll have the opportunity to:

• Design and build scalable, distributed backend systems that power EnterceptTM, a platform redefining software security

• Optimize and manage cloud infrastructure to ensure reliability, security, and performance

• Develop and maintain data processing pipelines to extract insights from diverse sources, enabling smarter security decisions

• Work closely with top-tier engineers, security professionals, and product leaders to drive innovation in proactive threat management

• Influence technical direction and best practices at scale, helping to shape the future of security-driven software development

If you're a hands-on problem solver who thrives in fast-paced, technical environments, we’d love to hear from you. You don’t need to be an expert in every area listed below. We’re looking for someone who can learn and adapt to new challenges in pursuit of our mission. If you’re excited about what we’re building and eager to grow with us, we’d love to hear from you.

 Responsibilities:

• Architect, design, build, maintain, and enhance our data platform, backend infrastructure, and the APIs used by us and our customers

• Build and maintain data pipelines to process structured and unstructured data from diverse sources and internal databases

• Continually refine and suggest modifications and additions to our technical stack

• Develop, scale, and optimize our machine learning infrastructure

• Collaborate with cross-functional teams, partners, and customers to understand needs, offer insights, and tailor systems to meet business goals

• Support and contribute to code reviews, ensuring adherence to coding standards and best practices

• Mentor the engineering team as the company grows, fostering a culture of innovation, collaboration, and technical excellence

Requirements:

• BS or higher, in computer science, software engineering, or a related field

• 5+ years of experience in backend development, with a proven track record of building scalable, production-grade systems to solve complex problems

• Proficiency in programming languages such as Python and Go, with a strong ability to write clean, maintainable code 

• Experience developing and optimizing systems for data processing and providing REST APIs for both inter-service communication and user-facing, latency-sensitive frontend applications

• Hands-on experience with asynchronous task queues (for example, Celery, RabbitMQ, Redis) or event-driven architectures (for example, Kafka, AWS SNS/SQS)

• Hands-on experience designing and debugging Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, with a focus on scalability, security, and cost efficiency

• Strong knowledge of modern software engineering practices, including CI/CD pipelines, infrastructure as code (for example, Terraform, AWS CloudFormation) and container orchestration (for example, Docker, Kubernetes) 

• Proficiency in relational and NoSQL databases (for example, PostgreSQL, DynamoDB, Redis)

• Exceptional written and verbal communication skills, with the ability to effectively collaborate with team members and stakeholders

• Strong desire to build impactful products

Nice to Have:

• Experience working with modern search and retrieval technologies, such as ElasticSearch, OpenSearch, vector databases (for example, Pinecone, ChromaDB, PGVector), or graph databases

• Experience with Typescript programming language

• Experience with Cybersecurity and compliance requirements (for example, SOC2)

• Familiarity with deploying LLMs in production environments

• Experience building or integrating APIs to expose endpoints for chat, retrieval, or hybrid workflows that combine LLM reasoning with external data sources

• Hands-on experience with ETL optimization and designing, coding, and tuning data pipelines

• Prior experience in startups or fast-paced teams, with a demonstrated ability to manage ambiguity and balance multiple priorities

• Experience with both on-prem and SaaS deployment patterns 

Benefits: 

• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family

• Paid maternity and paternity leave for 14 weeks at employees' normal pay

• Unlimited PTO, with management approval with all Federal holidays observed

• Opportunities for professional development and continued learning

• Occasional travel to our offices in Washington D.C or alternative locations to collaborate with your team in person

• Optional 401K and FSA available

• Ability to work fully remote within the United States 

Salary Range: $170,000 - $200,000. This represents the typical salary range for this position based on experience, skills, and other factors.

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