Gryps — Senior Software Engineer

A deeply technical IC who thrives in early-stage environments — shipping production backend services, making architectural decisions, and mentoring junior engineers, with a clear path to Lead Engineer within 3–6 months.

• →Designing, building, and operating production-grade backend services and data pipelines using Python and AWS (Lambda, Step Functions, serverless architectures)
• →Making critical architectural and system design decisions while leveraging AI coding tools (like Claude) to accelerate development
• →Owning features end-to-end from backend to front end (React), eliminating handoffs in a ~90% backend / 10% frontend codebase
• →Engaging directly with customers and forward-deployed engineers to understand workflows, clarify requirements, and translate ambiguous needs into shipped software
• →Mentoring junior engineers through code reviews, design discussions, and pairing

• 5+ years of experience in backend software engineering [Required]

• Founding engineer or early employee at a B2B SaaS startup (first ~10 hires, seed/Series A stage) [Must have]
• Owned production backend systems end-to-end (not just contributed) [Required]
• Prior tech lead or mentorship role guiding junior engineers [Strongly preferred]

• BS in Computer Science or related STEM degree [Required]
• A lack of degree is acceptable, only if strong startup engineering track record [Strongly preferred]

• Advanced Python expertise for production backend systems [Must have]
• Strong hands-on AWS experience (Lambda, Step Functions, serverless) [Required]
• Experience with AI coding tools and agentic development workflows [Strongly preferred]

• Product-minded; willing to talk to customers and clarify requirements directly [Required]

• Based in or near New York City; 3 days/week in-office (Midtown) [Must have]

• Only large-company experience with no startup or early-stage exposure
• Job hopper: multiple stints under one year with no clear narrative

• Salary | $220K–$270K
• Equity | Competitive equity
• On-site policy | Hybrid — 3 days/week in-office, Midtown NYC (Tower 49, near Grand Central)
• Visa sponsorship | Not open to any visas (US citizens / Green Card holders only)
• Employment type | Full-time
• Location | New York, NY

1. Are you able to work in New York and come into the office 3 times per week?
2. Describe your experience as a founding engineer or early employee at a startup: what did you own and how scrappy did you have to be?
3. Do you have any experience with, and are you willing to be in front of, customers / talk to non-engineers?
4. Can you be on-site? If not, are you willing to relocate?
5. What is your salary expectation?
6. How actively are you exploring new opportunities?

Updated Aug 18, 2026

Seed to Series B AI/ML startups with Python + AWS backends (scrappy builders with agentic/NLP experience) Hebbia, Glean, Vectara, Unstructured, LlamaIndex, Cohere, Weights & Biases, Anyscale, Modal Labs, Baseten

Data platform and knowledge graph startups (ingestion, pipelines, graph databases) Neo4j, Palantir Technologies, Databricks, Fivetran, Airbyte, dbt Labs, Dagster Labs, Prefect, Snowflake, RelationalAI

For reference only — do not source this specific profile.

Kyle Milden — LinkedIn Lead Software Engineer / Cloud Architect / Finance MBA | West New York, NJ

• Prior experience as founding engineer or early employee in a SaaS startup
• Prior experience building professional software
• Great communication skills (MBA signals interest in leading; prior technical lead experience reinforces the same)

• Focus on candidates with founding engineer / early startup experience in B2B SaaS — prioritize clear, end-to-end ownership in startup environments.
• Ensure candidates have deep, demonstrable Python and AWS serverless production experience with specific, measurable impact.
• Avoid profiles with short stints / job hopping — look for a stable, clear career narrative.
• Emphasize a product-minded, customer-facing approach that turns ambiguous requirements into shipped software.