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Remote Cyber Security Python Jobs in Austin, TX (NOW HIRING)

AI Security Engineer

Austin, TX ยท On-site +1

$123.60K - $174K/yr

This role is remote and can be performed from anywhere in the U.S. Meet the Team We are building an ... Proficiency in scripting with Python or Go, with hands-on experience in developing automation ...

Minimum Qualifications: * 5+ years of experience in cybersecurity, security engineering,DevSecOps ... Python, Go, or Java. * Demonstrated experience automating security controls or processes, such as ...

Senior Product Solutions Engineer

Austin, TX ยท On-site +1

$54.75 - $70.50/hr

Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Principal Software Engineer

Austin, TX ยท On-site +1

$133.80K - $179.40K/yr

Expert level in Python, PostgreSQL, Nginx, Redis, Javascript CSS, HTML5, React, Node. * Working ... Knowledge of cyber security vulnerability and penetration testing. * Familiarity with ArcGIS and ...

Technical Support Engineer Remote ABOUT THE ROLE: This is a unique opportunity to join HiddenLayer ... Proficiency in Python (reading, debugging, and writing scripts or small tools) * Working knowledge ...

Principal Software Engineer

Austin, TX ยท On-site +1

$133.80K - $179.40K/yr

Expert level in Python, PostgreSQL, Nginx, Redis, Javascript CSS, HTML5, React, Node. * Working ... Knowledge of cyber security vulnerability and penetration testing. * Familiarity with ArcGIS and ...

Principal Software Engineer

Austin, TX ยท On-site +1

$133.80K - $179.40K/yr

Expert level in Python, PostgreSQL, Nginx, Redis, Javascript CSS, HTML5, React, Node. * Working ... Knowledge of cyber security vulnerability and penetration testing. * Familiarity with ArcGIS and ...

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Remote Cyber Security Python information

See Austin, TX salary details

$40.1K

$121.8K

$178.4K

How much do remote cyber security python jobs pay per year?

As of May 31, 2026, the average yearly pay for remote cyber security python in Austin, TX is $121,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $140,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Cyber Security Python professional, and why are they important?

To thrive as a Remote Cyber Security Python professional, you need expertise in cybersecurity principles, strong Python programming skills, and relevant experience or a degree in computer science or information security. Familiarity with security frameworks, penetration testing tools (like Metasploit or Burp Suite), and certifications such as CISSP or CEH are highly valued. Analytical thinking, attention to detail, and effective remote communication are essential soft skills for this role. These abilities ensure you can identify vulnerabilities, automate security tasks, and collaborate with teams to protect organizational assets in a remote setting.

How does a Remote Cyber Security Python professional typically collaborate with cross-functional teams to enhance security solutions?

As a Remote Cyber Security Python specialist, you'll frequently work with IT, DevOps, and security operations teams to design, implement, and refine automated security solutions. Collaboration often happens via virtual meetings, shared code repositories, and ticketing systems, making clear communication vital. You'll review code, contribute to security tool development, and assist in incident response, ensuring that security best practices are consistently integrated across projects. This collaborative environment not only broadens your technical exposure but also helps you build a diverse professional network.

What does a Remote Cyber Security Python professional do?

A Remote Cyber Security Python professional uses Python programming to develop, automate, and enhance security solutions from a remote location. They may write scripts for vulnerability scanning, data analysis, threat detection, and incident response. These professionals often collaborate with security teams to identify and mitigate cyber threats, automate repetitive tasks, and improve overall system security. Working remotely, they use secure communication tools to stay connected and ensure the protection of digital assets across networks.

What is the difference between Remote Cyber Security Python vs Remote Network Security Engineer?

AspectRemote Cyber Security PythonRemote Network Security Engineer
Required CertificationsCompTIA Security+, CEH, CISSP (preferred)CCNA, CompTIA Security+, CISSP (preferred)
Work EnvironmentRemote, cybersecurity teams, software developmentRemote, network infrastructure teams, security operations
Industry UsageTech, finance, healthcare, governmentTelecommunications, finance, enterprise IT
Common Search/ComparisonFocus on cybersecurity skills with Python programmingFocus on network security and infrastructure

Remote Cyber Security Python roles primarily involve developing security tools and automating security tasks using Python, often within cybersecurity teams. Remote Network Security Engineer positions focus on securing network infrastructure, configuring firewalls, and monitoring network traffic. While both roles require security certifications and involve remote work, they differ in technical focus: one emphasizes software and scripting skills, the other network infrastructure expertise.

What are popular job titles related to Remote Cyber Security Python jobs in Austin, TX? For Remote Cyber Security Python jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Cyber Security Python jobs in Austin, TX look for? The top searched job categories for Remote Cyber Security Python jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Cyber Security Python jobs? Cities near Austin, TX with the most Remote Cyber Security Python job openings:
Principal Software Engineer - Next-Generation API & AI Platform Architecture

Principal Software Engineer - Next-Generation API & AI Platform Architecture

SpyCloud

Austin, TX โ€ข On-site, Remote

$133.80K - $179.40K/yr

Other

Posted 4 days ago


Job description

*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*

We are seeking a Principal Engineer to lead the hands-on architecture and development of our next-generation data and intelligence APIs. This role is deeply technical and execution-focused, responsible for defining API contracts, building production services, and architecting the platform interfaces high-performance throughput, agentic workflows, and external customer integrations.

You will operate at the intersection of distributed systems, data platforms, and agenticย orchestration, ensuring our APIs are scalable, governed, observable, and designed forย long-term evolution. This role requires strong systems thinking, high-quality implementationย standards, and the ability to translate platform strategy into production-grade services.

This is a hands-on engineering role with architectural authority.

What You'll Do:

  • Next-Generation API Architecture
    • Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.
    • Define and enforce API contracts for:
      • Low latency, high throughput endpoints
      • Agentic workflows (tools, actions, state transitions, handoffs)
      • Context retrieval and enrichment
    • Design APIs as durable platform interfaces, not thin wrappers over storage systems.
    • Establish standards for schema governance, payload design, and service boundaries.
  • Agentic & ML Platform Integration
    • Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability.
    • Build API surfaces that expose model outputs safely and consistently.
    • Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services.
    • Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints.
  • Data Platform & Context Hubs
    • Design and implement service layers that sit on top of the gold-layer system of record.
    • Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services.
    • Ensure APIs are aligned with medallion architecture principles and platform data contracts.
    • Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models.
  • Distributed Systems & Reliability
    • Design high-throughput, low-latency services supporting batch and streaming workloads.
    • Implement scalable infrastructure patterns on AWS.
    • Ensure strong observability, error handling, performance tuning, and cost awareness.
    • Drive infrastructure-as-code practices and production readiness standards.
  • Technical Leadership
    • Serve as a senior architectural voice in design reviews.
    • Raise the bar on code quality, system design, and operational rigor.
    • Mentor engineers on API design, distributed systems, and ML integration patterns.
    • Influence platform direction through technical depth rather than organizational authority

Requirements:

  • 10+ years of experience building distributed systems, APIs, or large-scale data platforms.
  • Deep experience designing and implementing customer-facing APIs as long-lived products.
  • Strong understanding of schema governance, versioning strategies, and contract design.
  • Experience productionizing ML models and exposing inference services.
  • Experience designing or integrating agentic or autonomous workflows.
  • Experience building service layers on top of systems of record or semantic data layers.
  • Strong background in distributed systems reliability, observability, and scalability.
  • Proficiency in Go & Python (and/or backend service languages).
  • Hands-on experience with Databricks/Snowflake
  • Strong experience with AWS infrastructure and infrastructure-as-code tools

Nice to Have:

  • AWS services including Redshift, S3, EC2, and related cloud-native tooling.
  • Data stores including Elasticsearch, PostgreSQL, Redis, and graph databases (e.g., Neo4j or AWS Neptune).
  • Experience building high-performance APIs and service layers over heterogeneous data systems.
  • Familiarity with Databricks/Snowflake and/or SageMaker is a plus.
  • Experience in cybersecurity, identity, fraud, or risk systems is a plus.