Senior Backend Engineer

Summary

Join Hunted Labs, a software security company, as a Senior Software Engineer specializing in Backend Engineering. You will design and build scalable backend systems for their cutting-edge security platform, Entercept™. Responsibilities include architecting and maintaining the data platform, building data pipelines, optimizing machine learning infrastructure, and collaborating with cross-functional teams. This fully remote position requires a BS in a related field, 5+ years of backend development experience, proficiency in Python and Go, and experience with AWS, GCP, or Azure. Hunted Labs offers comprehensive benefits, including 100% employer-paid healthcare, paid parental leave, unlimited PTO, professional development opportunities, and the option for a 401k and FSA.

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

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

Preferred Qualifications

• 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