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Python Hunting Jobs in Tennessee (NOW HIRING)

Small, passionate, ego-free builders Why this role We're hunting for product-market fit . That ... Are fluent in a modern web stack (e.g., TypeScript/Node , Python , React/Next ; Postgres/Redis;

Small, passionate, ego-free builders Why this role We're hunting for product-market fit . That ... Are fluent in a modern web stack (e.g., TypeScript/Node , Python , React/Next ; Postgres/Redis;

Experience using Python machine learning and deep learning frameworks and libraries, including ... hunting and incident response * Experience supporting at least one full lifecycle analytics ...

Experience with Python scripting and GoStash or Logstash for automation, integration development ... Experience with threat hunting or cyber threat intelligence fundamentals * Experience with data ...

Cloudflare Enterprise traffic monitoring & threat hunting * Endpoint protection and EDR tools ... Strong scripting or automation skills (e.g., Python, PowerShell, Bash) * Knowledge of secure ...

Experience with Python scripting and GoStash or Logstash for automation, integration development ... Experience with threat hunting or cyber threat intelligence fundamentals * Experience with data ...

Our rapidly growing team specializes in threat hunting, analyzing indicators of compromise (IOCs ... Analyze and interpret complex datasets using Excel, Power BI, Python, or other analytics tools to ...

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Python Hunting information

See Tennessee salary details

$11

$53

$78

How much do python hunting jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for python hunting in Tennessee is $53.21, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $60.43 per hour, depending on experience, location, and employer.

What is the difference between Python Hunting vs Data Analyst?

AspectPython HuntingData Analyst
Required CredentialsPython programming skills, certifications in Python or data scienceDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentTech companies, startups, freelance projectsCorporate offices, consulting firms, finance, healthcare
Employer & Industry UsageTech industry, data-driven companiesBusiness, finance, healthcare, marketing
Common Search & ComparisonYesYes

Python Hunting focuses on identifying and extracting Python code or scripts, often for security or development purposes. Data Analysts analyze data sets to generate insights and support decision-making. While both roles require analytical skills, Python Hunting emphasizes coding and security, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals involved in python hunting, and how can they be addressed?

Professionals engaged in python hunting, particularly in regions like Florida, often face challenges such as navigating difficult terrain, handling large and potentially dangerous snakes, and working in varying weather conditions. To address these challenges, hunters typically undergo specialized training in safe capture and handling techniques, use appropriate equipment, and often work in teams for increased safety. Collaboration with wildlife agencies and ongoing education about local ecosystems are also essential for success and personal safety in this role.

What are the key skills and qualifications needed to thrive as a python hunter, and why are they important?

To thrive as a Python Hunter, you need knowledge of local wildlife, safe animal handling techniques, and often a relevant permit or certification. Familiarity with tools such as snake tongs, traps, GPS devices, and sometimes airboats is typically required. Strong observation skills, resilience, and effective communication are valuable soft skills for ensuring safety and coordination with team members or authorities. These skills are crucial to safely and efficiently capture invasive pythons, protect native ecosystems, and comply with legal and safety protocols.

What is python hunting?

Python hunting refers to the practice of searching for and capturing invasive Burmese pythons, primarily in regions like the Florida Everglades where these snakes are a threat to local ecosystems. Python hunters help control the python population, which has grown rapidly and negatively impacts native wildlife. This job often involves tracking, safely capturing, and sometimes humanely euthanizing the snakes. Many hunters work as part of state-sponsored programs or under special permits, and they play a vital role in conservation efforts.
Infographic showing various Python Hunting job openings in Tennessee as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 6% Part Time, and 8% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $110,668 per year, or $53.2 per hour.

Senior Full Stack Developer

NxT Level

Nashville, TN • On-site

Full-time

Re-posted 7 days ago


Job description

Full-Stack Software Engineer (Agents & Rapid Prototyping)
Location: Remote (US-friendly hours)
Type: Full-time (founding/early engineer)
Team: Small, passionate, ego-free builders
Why this role
We're hunting for product-market fit. That means we ship POCs fast, test hypotheses daily, and aren't afraid to throw work away if the data says so. If you code for fun, ask "why" before "how," and love turning messy problems into scrappy automation that actually saves people time-this is your playground.
What you'll do
  • Prototype at lightning speed: Build and ship POCs, internal tools, and production features in days-not weeks.
  • Work with LLMs & SLMs: Integrate, evaluate, and fine-tune models; design agentic workflows that reduce manual work.
  • Automate the boring stuff: Sniff out bottlenecks, redundancies, and paper cuts; replace them with lightweight automations.
  • Balance build vs. buy: Pragmatically choose off-the-shelf services vs. custom code; optimize for speed, cost, and learning.
  • Own the stack end-to-end: APIs, data models, frontends, deployments, instrumentation, and on-call for what you build.
  • Collaborate without ego: Pair with design, product, and GTM to clarify the "why," define thin slices, and ship continuously.
  • Ruthlessly iterate: Be comfortable restarting weekly if needed; measure outcomes, not lines of code.

Outcomes (how we'll measure success)
  • 2-3 prod-quality launches/month from idea → shipped.
  • Clear learning loops: each release produces measurable signal (conversion, retention, time-saved).
  • Automation ROI: hours saved/team/week; decreased cycle time; reduced ops tickets.
  • Agent impact: at least one agent in steady use by internal or pilot users within first 60 days.

You might be a fit if you
  • Have 4+ years building full-stack products (or equivalent portfolio/hacker track record).
  • Are fluent in a modern web stack (e.g., TypeScript/Node, Python, React/Next; Postgres/Redis; REST/GraphQL).
  • Have shipped LLM/SLM features (tool use, RAG, function calling, evals, latency/cost tuning).
  • Can design simple, resilient backends; write clean, testable code; and deploy via CI/CD to a major cloud.
  • Love debugging with data: logs, traces, metrics; you instrument before you guess.
  • Communicate crisply, ask sharp questions, and default to action.
  • Thrive in ambiguity; you don't need a JIRA novella to start building.

Nice to have
  • Vector DBs, embeddings, prompt/version management, offline evals.
  • Agent frameworks (e.g., OpenAI tools, LangGraph, custom planners/executors).
  • Queueing/event systems (e.g., Kafka, SQS), WebSockets, streaming.
  • Security and privacy basics (authn/z, secrets, PII handling).
  • Experience with low-cost scrappy stacks (Cloudflare, Fly.io, Supabase, Firebase).

Our stack (evolving)
  • FE: React/Next.js, Tailwind, tRPC/GraphQL
  • BE: Node/TypeScript and/or Python FastAPI
  • Data: Postgres, Redis/Upstash, optional vector store
  • Infra: Vercel/Fly.io/Cloudflare + Docker; CI/CD (GitHub Actions)
  • AI: OpenAI, Anthropic, local SLMs when useful; evaluation harness + prompt/version control

How we work
  • Learn > Perfect: Ship thin slices, get signal, iterate.
  • Write it down: Short RFCs → prototype → user feedback within days.
  • Builder culture: No rockstars, no heroes-just ownership and curiosity.
  • Time-zone friendly: Async first; quick huddles when needed.

Interview flow
  1. Intro chat (30 min): goals, mindset, what great looks like.
  2. Builder exercise (home or live, 2-4 hrs): ship a tiny agent or automation; explain trade-offs.
  3. Technical deep dive (60 min): architecture, data modeling, reliability, AI evals/cost.
  4. Team fit (30 min): collaboration, feedback loops, "why before what."

Compensation
Competitive salary + meaningful equity. We optimize for ownership and impact.