Cybersecurity Engineer – Remote

Secure the communications backbone of an autonomous transit system that runs 24/7 in the real world. This role lives at the intersection of OT networks, automotive security standards, and modern wireless tech (5G, WiFi, UWB, GNSS). If you’ve done TARA, know ISO/SAE 21434, and can translate security into engineering action, this is your lane.

About Glydways
Glydways is building a carbon-neutral public transit network using standardized autonomous vehicles on dedicated pathways. Their mission is to make mobility more accessible, affordable, and sustainable, without massive infrastructure costs. The Network Platform team owns end-to-end communications and the cybersecurity that keeps V2X connectivity secure and reliable.

Schedule
Full-time
Remote

What You’ll Do

⦁ Support CSMS compliance and certification processes
⦁ Perform Automotive Cybersecurity Threat Analysis and Risk Assessment (TARA) at ECU/system, product, and project levels
⦁ Maintain cybersecurity practices aligned to OT and automotive standards and regulations
⦁ Perform secure code reviews and guide developers on remediations
⦁ Use reverse engineering, fuzzing, and static/dynamic analysis techniques to find weaknesses
⦁ Manage vulnerability management workflows including pen testing, prioritization, tracking, remediation, and validation
⦁ Translate cybersecurity requirements and specs into test cases and test plans
⦁ Mentor non-security engineers to raise security maturity through architecture and design guidance
⦁ Help secure key management systems and certificate-based components for vehicle and wayside systems
⦁ Conduct internal security audits and coordinate with external auditors as needed

What You Need

⦁ Bachelor’s or Master’s degree in CS, Cybersecurity, Electrical Engineering, or equivalent experience
⦁ Foundational knowledge of CWE Top 25
⦁ Familiarity with automotive and OT security standards and regulations (ISO/SAE 21434, IEC 62443, UNR 155/156, WP.29)
⦁ Familiarity with security frameworks and compliance expectations (NIST, CCPA, PCI-DSS)
⦁ Strong understanding of security engineering, network security, authentication, and wired/wireless security protocols
⦁ Experience with secure boot and secure storage concepts
⦁ Bonus: experience securing OT systems in automotive or rail environments

Benefits

⦁ Not listed in the posting
⦁ Remote flexibility
⦁ High-impact work protecting real-world autonomous transit communications

This isn’t just app security. This is “if it fails, it’s in the world” security. If that responsibility excites you, apply.

Happy Hunting,
~Two Chicks…

APPLY HERE.

Linux Kernel Engineer – Remote

Build the software foundation that helps autonomous transit vehicles run safely and reliably in the real world. If you live in the Linux kernel, like embedded constraints, and can ship a Yocto-based platform that holds up in production, Glydways is playing in your sandbox.

About Glydways
Glydways is reinventing public transit with a carbon-neutral network of dedicated pathways and standardized autonomous vehicles. Their goal is high-capacity, affordable, on-demand mobility without massive infrastructure costs. The Onboard Integration team builds the OS and platform layer that connects vehicle hardware, autonomy, sensors, and real-time operations.

Schedule
Full-time
Remote

What You’ll Do

⦁ Maintain a custom Yocto-based Linux distribution across multiple custom compute platforms (with and without displays)
⦁ Bring up boards for NVIDIA Tegra and NXP i.MX platforms
⦁ Develop Linux kernel drivers for Tegra and i.MX hardware
⦁ Support kernel-level functionality across networking, audio, and visual hardware
⦁ Contribute to upstream open-source projects and select/maintain patches as needed
⦁ Test custom board features in CI and HIL environments
⦁ Provide long-term support for deployed Yocto distributions and Linux kernels in production systems

What You Need

⦁ Strong Linux kernel development expertise
⦁ Deep knowledge of Yocto and/or Buildroot build systems
⦁ Experience submitting patches to open-source projects and getting them accepted
⦁ Advanced C/C++ and shell scripting skills (other languages are a plus)
⦁ Embedded development experience, especially on resource-constrained hardware
⦁ Experience with CI and HIL testing environments for validating custom Linux-based systems
⦁ Comfort owning long-term maintenance for deployed products, not just initial bring-up

Benefits

⦁ Not listed in the posting
⦁ Remote flexibility
⦁ High-impact work on a mission-driven, real-world autonomous transportation system

If you want your code running on robots in the world, not just servers in a rack, this is that job.

Happy Hunting,
~Two Chicks…

APPLY HERE.

Backend Engineer (Contract) – Remote

Help scale the ML data infrastructure behind AI-powered pathology that’s aiming to improve patient outcomes, especially in diseases like cancer. If you’re a backend Python builder who knows databases, pipelines, and cost-aware data strategy, this contract is a solid swing.

About PathAI
PathAI is building AI-powered pathology products to improve diagnostic accuracy and treatment efficacy. Their work sits at the intersection of healthcare and machine learning, with a team focused on solving hard technical problems that have real-world impact. You’ll be supporting the data backbone that ML engineers rely on.

Schedule
Contract role (minimum 6 months)
Remote (U.S.)

What You’ll Do

⦁ Analyze and optimize storage strategies for ML experiment data and metadata
⦁ Design retention and expiration workflows for large-scale datasets to control cost and sprawl
⦁ Modernize and refactor ETL/ELT pipelines for scalability and maintainability
⦁ Create and populate schemas for validated and curated datasets
⦁ Build or enhance database-backed tools supporting ML R&D and production analytics
⦁ Collaborate closely with MLOps, ML engineering, SRE, and platform teams
⦁ Provide documentation and knowledge transfer to long-term maintainers

What You Need

⦁ Strong Python skills for server-side development, automation, and data processing
⦁ Deep relational database experience (Postgres, Amazon RDS, Aurora), including schema design, query optimization, and performance tuning
⦁ ELT pipeline experience (dbt preferred) and cloud data warehousing (Snowflake preferred)
⦁ Familiarity with big data tools (Spark, Hive)
⦁ Experience with Apache Airflow for orchestration and automation
⦁ Knowledge of S3-based storage and large-scale data management strategies
⦁ Ability to write clear technical documentation and collaborate across teams
⦁ Experience with partitioning, performance tuning, and cloud cost optimization

Benefits

⦁ Contract role (benefits not listed in the posting)
⦁ High-impact work supporting ML and analytics workflows in healthcare AI
⦁ Remote flexibility with a defined minimum contract term

If you’ve got the backend chops and you like building the plumbing that makes ML teams faster and more reliable, apply. This is the kind of contract that can turn into long-term trust.

Happy Hunting,
~Two Chicks…

APPLY HERE.

Application Security Lead – Remote

Lead the security hardening of a global ecommerce platform that serves millions of customers across 100+ countries. This is a hands-on principal-level role for someone who can set the secure-by-default standard, automate the controls, and still jump in when the threat landscape shifts.

About iHerb
iHerb’s mission is to make health and wellness accessible to all through a massive ecommerce platform dedicated to vitamins, supplements, and wellness products. They ship 50,000+ products from 1,800+ brands to customers in 180+ countries. Their scale is real, which means their security expectations are, too.

Schedule
Full-time
Fully remote (must reside in the U.S.)
High-impact role in a fast-paced, global ecommerce environment

What You’ll Do

⦁ Lead enterprise-wide Secure Development Lifecycle (SDL) strategy and execution across the platform
⦁ Conduct security design reviews and advanced threat modeling for mission-critical services
⦁ Establish secure architecture standards and patterns across application, cloud-native, and infrastructure layers
⦁ Evaluate and govern security tooling and services (DAST, SAST, SCA, WAF, secrets management, and more)
⦁ Track emerging threats, assess applicability, and implement centralized mitigations proactively
⦁ Drive security assessments, penetration testing, and bug bounty programs to reduce systemic risk
⦁ Ensure application security practices meet PCI DSS requirements across the transaction lifecycle
⦁ Participate in incident response as a technical security leader when it matters most

What You Need

⦁ 8+ years of hands-on security experience at a strong software company, with deep application security leadership
⦁ Strong security architecture and threat modeling expertise across modern services and platforms
⦁ Expert knowledge of application and infrastructure vulnerabilities and mitigations (OWASP Top 10, CWE, etc.)
⦁ Deep understanding of ecommerce transaction flows and PCI DSS compliance in high-volume environments
⦁ Proven experience implementing SDL processes, automation, and tooling in DevOps or DevSecOps environments
⦁ Experience securing large-scale web apps and microservices including APIs, authN/authZ, encryption, and data protection
⦁ Working knowledge of major languages and frameworks (Python, C#/.NET, JavaScript/node.js, Java, etc.)
⦁ Strong communication skills with the ability to influence both engineers and executive leadership

Benefits

⦁ Anticipated pay scale: $176,534 to $264,801 USD (varies by location and experience)
⦁ Medical, dental, and vision coverage for eligible employees and families
⦁ 401(k) plan
⦁ Paid time off, paid sick leave, and paid holidays
⦁ Potential for annual bonuses and Restricted Stock Units (based on eligibility and performance)

This is not a “check the box” security role. It’s a build-the-system, harden-the-platform, own-the-risk seat.

Happy Hunting,
~Two Chicks…

APPLY HERE.

AI Architect – Remote

Design real, production-grade AI systems that make LLMs useful, safe, and fast, especially on mobile. If you know how to turn “cool demo” into reliable workflow, this role is built for you.

About the Company
This role sits inside a development org focused on building enterprise AI capabilities. The work is hands-on architecture for LLM workflows, hybrid compute, and tight integration into CRM, mobile, and backend systems. The mission is practical: ship AI that drives outcomes without breaking trust.

Schedule
Full-time
Day shift
Location: United States (New York focus)
Not available for independent contractors
Applications accepted up to 120 days from the posting date (posted 12/11/2025)

What You’ll Do

⦁ Architect LLM-powered workflows like briefing, enrichment, signals, and pitch prep
⦁ Define the AI pipeline: prompt design, retrieval, orchestration, routing, and fallback logic
⦁ Design a hybrid compute strategy using on-device AI (AI Kit) plus server-side LLM
⦁ Establish guardrails for accuracy, hallucination safety, and compliance alignment
⦁ Ensure enterprise integration with CRM APIs, mobile apps, and backend systems

What You Need

⦁ Strong expertise in LLMs, NLP, embeddings, and multi-step reasoning
⦁ Prior experience building or architecting AI systems in production
⦁ Understanding of PII handling, governance, and secure AI practices
⦁ Ability to optimize latency and model performance for mobile contexts

Benefits

⦁ Compensation range: $68,000 to $241,000 (based on experience and qualifications)
⦁ Medical, dental, and vision coverage
⦁ 401(k) retirement plan
⦁ Variable pay and incentives
⦁ Paid time off and paid holidays

If you can balance speed, safety, and real-world integrations, don’t sit on this. These roles get scooped fast.

Build AI that performs under pressure, not just on a stage.

Happy Hunting,
~Two Chicks…

APPLY HERE.

Senior Backend Engineer – Remote

Help build the backend engine that makes data and AI reliable at scale, not “pray it works in production” vibes. If you like owning big systems end to end, shipping fast, and building clean services that power ML and pipelines, Monte Carlo is swinging at your kind of problems.

About Monte Carlo
Monte Carlo is a data observability company helping teams deliver trustworthy data and AI at scale, often described as the “New Relic for data.” They work with major companies across industries to keep data reliable and usable. It’s a fast-moving environment backed by top-tier investors, with a strong focus on product impact and engineering ownership.

Schedule
Full-time
Remote anywhere in the Americas
Compensation range: $180K to $230K base + equity (final depends on skills, experience, and location)

What You’ll Do

⦁ Build production-grade backend services and APIs that directly impact customer experience
⦁ Own major projects from requirements to deployment, moving quickly and shipping iteratively
⦁ Architect simple, flexible solutions first, then scale them as the platform grows
⦁ Contribute to Monte Carlo’s cloud service, data pipelines, and ML platform alongside a seasoned team
⦁ Operate with an ownership mindset, balancing speed with reliability in production

What You Need

⦁ 5+ years delivering production-grade backend services
⦁ Mastery of Python or an equivalent backend technology
⦁ Experience building and scaling distributed architectures
⦁ Strong ownership, urgency, and customer focus
⦁ Bonus points for PySpark experience
⦁ Bonus points for AWS familiarity
⦁ Bonus points for experience building data pipelines

Benefits

⦁ Equity (stock options)
⦁ Healthcare plans and 401(k)
⦁ Wellness stipend and home office stipend
⦁ Cell phone or WiFi reimbursement
⦁ Paid parental leave
⦁ Flexible time off
⦁ Generous travel policy

These teams move fast. If you want a role where “senior” means you truly own the outcome, not just the ticket, get your name in the mix.

Happy Hunting,
~Two Chicks…

APPLY HERE.