Work across different parts of the product and codebase: backend services, APIs, data pipelines, integrations, product features, and internal tools. This is a good role for someone who likes variety and is comfortable learning a new area without needing everything mapped out in advance.
You might spend one week improving an ingestion service, the next building an API for a customer-facing workflow, and the next helping debug a production issue with another team. The work is practical, product-driven, and close to real customer problems.
What you’ll do- Build and maintain product features across backend services, APIs, data systems, and user-facing workflows
- Work with product managers, designers, security researchers, and other engineers to ship useful, reliable software
- Contribute to services that process SaaS activity, identity data, permissions, alerts, and security findings
- Improve existing systems for performance, reliability, maintainability, and observability
- Write clear, well-tested code and participate in code reviews and design discussions
- Learn unfamiliar parts of the stack and help where the team needs you most
- Use AI-powered development tools thoughtfully while reviewing and validating the output
- Contribute to a core product used by enterprises worldwide
- Work on security problems across SaaS, identity, data, and AI usage
- Learn from experienced engineers across the US and UK teams
- Build depth in backend engineering while getting exposure to adjacent areas like data pipelines, detection systems, cloud infrastructure, and product engineering
- Be part of a fast-moving company where engineers are expected to own real problems
- 3+ years of experience in a software engineering role
- Proficiency in one or more modern programming languages such as Python, Go, TypeScript, or SQL
- Experience building backend services, APIs, data processing systems, or product features
- Familiarity with relational databases such as Postgres
- Understanding of software design principles, testing, debugging, and clean code practices
- Experience working with Git and participating in code reviews
- Comfort working in a collaborative team environment with changing requirements
- Curiosity and willingness to learn unfamiliar systems, tools, and problem domains
- Experience with cloud platforms such as AWS or GCP
- Exposure to containerization technologies such as Docker or Kubernetes
- Familiarity with event or streaming systems such as Kafka, Redis, or similar technologies
- Experience with observability tools such as Grafana, Prometheus, or similar platforms
- Exposure to CI/CD pipelines and deployment tooling
- Interest in security, SaaS platforms, identity, data protection, or detection systems
- Experience using AI-powered developer tools in day-to-day engineering work
As an AI-forward engineering organization, we expect engineers to use AI tools effectively and understand foundational AI concepts that are increasingly part of modern software development.
AI Engineering Capabilities- Leverage AI tools to improve development speed while critically reviewing AI-generated output
- Understand core AI/ML concepts such as LLMs, embeddings, inference, evaluation, and vector databases
- Build software that is reliable, observable, secure, and maintainable in AI-assisted development workflows
- Show good judgment about where AI tools help, where they do not, and how to validate their output
Employee Benefits
Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy:
- Competitive compensation with equity and 401k
- Comprehensive healthcare with dental and vision coverage
- Flexible paid time off and paid holiday time off
- 12 weeks of new parent or family leave
- Personal and professional development resources
For more details on our US benefits, or for information on our international benefits, please see here.
Pay Transparancy
Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.
At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact [email protected]
Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy.
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
