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Are you looking for an opportunity to independently service a territory with the ability to spend most of that time outdoors? What if that opportunity included competitive pay and a generous benefits package, with the largest HVAC preventive maintenance company in the nation? The BFC Solutions team is excited to meet you to explore a Technician role open in the Kansas City area. This position may require up to one week (Monday night through Thursday night) every month within the region.
As a Filter Tech you will enjoy the following:
Monday- Friday workday
Weekly paycheck
Company take-home vehicle
Company phone
The BFC benefits package includes:
- Health insurance
- Vision insurance
- Dental insurance
- 401(k) with employer matching
- 8 paid holidays
- Paid time off
- Multiple opportunities for career advancement
As a BFC Solutions Technician, you will replace air filters and perform basic HVAC maintenance primarily in rooftop air ventilation and HVAC systems for retail and commercial customers.
Job Requirements:
- Must be at least 21 years of age to operate the company vehicle.
- Must possess and maintain a valid driver's license and have a good driving record
- Must live within 40 miles of the designated region.
- Must be comfortable and confident working at heights up to 40 feet above ground level and using extension ladders.
- Must weigh less than 275 pounds to meet ladder safety and weight limit requirements.
- Must be comfortable working outside in all weather conditions.
- Proven success working independently with remote supervision.
- Must be willing and able to work overtime and/or overnights as specified.
- Must be able to lift and carry up to 75 pounds
- Overnight travel may be required during peak times.
Preferred work experience includes any of or a combination of the following:
- Facility and/or grounds maintenance
- Construction
- HVAC
- Cable installation
- Route driving
- Roofing
#ind123
Compensation details: 22-23 Yearly Salary
PI52ad03c8e7bd-31181-40003168
Required
Preferred
Job Industries
- Other
We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Radar Systems Engineer, you will be a part of our Radar Engineering team. The Radar Engineering team is comprised of a small cross functional team of motivated and experienced engineers; we're responsible for designing, building, and testing cutting edge phased array radar systems from concept to certified product. We enjoy a culture of sharing information and collaboration. Phased array radar systems have historically been reserved for specialized applications, but we're making this technology affordable to enable Detect and Avoid for widespread commercial applications. This role will focus on new advanced operational modes. The passion for revolutionary technology to make aviation safer motivates us to come in every day.
Responsibilities
In your role as a Radar Systems Engineer, you will be responsible for analyzing phased array radar systems and developing radar processing algorithms to enable short, long range object tracking, and radar image generation. You will be involved in all phases of development from conception to production, designing your algorithms in Matlab, Python, and implementation in C++ on the target hardware. You will drive the system-level requirements of the phased array radar system, and drive trade studies collaborating with the cross functional teams. You will support the integration of the radar on the aircraft and support data collection and analysis during flight testing. You will be the owner of real-time processing of radar algorithms on an FPGA, DSP-based platform.
Basic Success Criteria
Electrical Engineering fundamentals, typically gained through a Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or a related discipline
8+ years of professional hands-on experience with Radar algorithms, radar system design, radar signal processing, integration, and test of a radar system
Ability to use C++, Matlab and Python (Python preferred)
Ability to troubleshoot, find root cause, and resolve issues
Pulsed and FMCW processing algorithm development
Experience in airborne radar testing and development
Preferred Criteria
Advanced Degree of Science or Electrical Engineering
Experience developing system architectures and managing requirements for certification of Avionics
Creative problem solver that can bring multiple disciplines together, with the ability to assess risk and make design and development decisions without all available data
Experience integrating and troubleshooting various electronic sensors and components
Weather radar experience, airborne or ground-based
Real beam radar imaging, and or SAR processing
This role can be remote, or located at our facility in Mountain View, California.
Must be willing to travel 30% of the time.
The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.
In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $180K - $260K
Apply for this JobDo you have experience solving real world problems related to wireless communications?
Are you searching for meaningful work to solve crucial communications challenges for the special operations and intelligence communities?
If so, we want you to join our team of comms engineers working on a broad set of evolving problems.
We are seeking a dedicated engineer to join a hardworking team that loves solving problems and building capabilities that may transition to operational prototypes. Our team is committed to the mission and passionate about developing capabilities for specialized wireless systems!
As a Wireless Communications Algorithm Engineer, you will...
- Research new technologies and develop solutions to address evolving threats.
- Support digital signal processing (DSP) algorithm development.
- Provide implementable technical solutions to the Nation's hardest problems.
- Translate vague concepts into practical, well-defined, and methodical technical plans.
- Communicate technical results clearly in written reports and presentations.
- Work with technologies and concepts including, but not limited to wireless, SATCOM, Physical and MAC layer protocols, software defined radio (SDR), waveform design, RF modeling and simulation, RF system analysis, and transceiver design.
Qualifications
You meet the minimum qualifications for this position if you have ...
- A Bachelor's degree (or equivalent experience) in Electrical Engineering, Computer Engineering, Physics, Mathematics or another related field with at least ten years of relevant experience, OR a Master's degree (or higher) in one of the same fields of study with at least five years of relevant experience.
- Proficiency in communication theory and digital signal processing (DSP), with a foundational knowledge of, and experience with, the physical, data link, or media access layers of communications systems.
- Experience in modeling and simulation of the physical layer with MATLAB, Python, and/or other languages.
- Familiarity with some of the following: geolocation, detection and estimation theory, or waveform design.
- The ability to obtain an Interim Top Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You’ll go above and beyond our minimum requirements if you have ...
- At least ten years of experience in commercial and/or government communication engineering.
- A wide breadth and depth of wireless systems knowledge.
- Demonstrated expertise with end to end comms system design.
- Recent knowledge of DoD and/or intelligence community, sponsors, and programs.
- A current Top Secret or TS/SCI clearance.
This position is on-site at APL's main campus (Laurel, MD) with occasional travel.
#LI-AG1
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact
The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$100,000 Annually
Maximum Rate
$245,000 Annually
Senior Pega Developer ( Pega / Python / CDH )
Optomi, in partnership with, an enterprise Telecom client, is seeking a Senior Pega Developer to sit in their Stamford, CT office! There is a hybrid structure of 4 days on site in the office, with flexibility for working from home once weekly. This position requires hands-on experience developing with Pega systems, ideally Customer Decision Hub (CDH) with Python for scripting.
What the Right Candidate Will Enjoy:
- 2025 Awards include "Forbes Accessibility 100", "Fortune America's Most Innovative Companies", "Forbes America's Best Employers for Tech Workers", etc.
- Directly develop applications impacting over 25M+ customers across 41 states!
- A hybrid office structure that allows for working from home!
Experience of the Right Candidate:
- Proven track record with 5-6 years of experience working with Customer Decision Hub (CDH), demonstrating deep understanding and ability to leverage CDH for personalized customer interactions and decisioning.
- Certifications: Relevant Pega certifications are required (e.g., Certified Pega Business Architect, Certified Pega System Architect).
- Python: Strong proficiency in Python for scripting and automation tasks, with experience in integrating Python solutions within Pega applications.
- SQL: Solid experience with SQL for database management and querying, including the ability to write complex queries and optimize database performance.
- Apache Airflow (Optional): Experience with Apache Airflow for orchestrating complex workflows is a plus but not mandatory.
Responsibilities of the Right Candidate:
- Develop and implement solutions using Pega CDH to enhance customer engagement strategies.
- Collaborate with cross-functional teams to design and optimize workflows and decisioning processes.
- Utilize Python and SQL to support data-driven decision-making and application enhancements.
- Optionally, leverage Apache Airflow for efficient workflow automation and scheduling.
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills for effective collaboration with team members and stakeholders.
- Ability to thrive in a fast-paced, dynamic environment and adapt to evolving project requirements.
Job Title: Senior Automation Engineer
Location: Hillsboro, Oregon
Job Type: Full-Time
Job Description:
We are seeking a highly experienced Senior Automation Engineer to join our advanced software and embedded systems team. The ideal candidate will have deep expertise in Python automation (Pytest), Robot Framework, and QNX environments, with strong skills in UX/UI automation and testing. This role involves enhancing and migrating automation frameworks, debugging complex integrations, and working closely with cross-functional teams to deliver high-quality test automation solutions for embedded systems and entertainment platforms.
Key Responsibilities
Automation Framework Development
- Architect, develop, and maintain automation frameworks primarily using Python and Pytest.
- Lead migration of existing Robot Framework tests to Python/Pytest equivalents.
- Build reusable fixtures, utilities, wrapper layers, and automation components to support large test suites.
Test Execution & Optimization
- Analyze and interpret Robot Framework keyword libraries; enable efficient reuse within Python-based executions.
- Optimize hybrid execution flows involving both Pytest and Robot Framework assets.
- Execute and maintain UI and device automation tests using tools such as Appium, Selenium, or equivalent frameworks.
Cross-Layer Debugging & Integration
- Independently debug cross-layer automation issues involving Python, Robot Framework, device tools, and operating systems.
- Integrate automation frameworks with CI/CD pipelines and tools (e.g., Jenkins, GitLab, Azure DevOps).
Collaboration & Mentorship
- Mentor and guide junior automation engineers, establishing good coding practices, test design patterns, and quality standards.
- Work collaboratively with software engineers, product developers, and QA teams to enhance automation coverage and reliability.
System & Environment Interaction
- Work with QNX OS, virtualization systems (Hypervisor), and cloud environments (AWS).
- Engage with hardware interfacing (USB, Ethernet, multimedia interfaces) and hardware simulation/ fault-injection where applicable (nice-to-have).
Required Skills & Experience
- 7–10 years experience in automation engineering with 5+ years hands-on Python automation using Pytest.
- Practical experience with Robot Framework including keywords, variables, resources, and large keyword repositories.
- Strong skills in UI automation using tools such as Appium/Selenium.
- Solid understanding of modular test design and maintainable patterns (page-object, keyword patterns).
- Experience with QNX (Posix) operating system, virtualization (e.g., Hypervisor), and cloud-based environments (preferably AWS).
- Good understanding of Git, branching strategies, and CI/CD workflows.
- Proven ability to debug complex, multi-layered test automation environments.
Preferred Qualifications
- Exposure to embedded systems, aviation, or high-volume regression environments.
- Experience in framework migration, cross-framework interoperability, or keyword reuse models.
- Background in hardware interactions and media/UX systems (multimedia I/O, touch interactions).
- Familiarity with fault injection tools and hardware simulation techniques.
- Bachelor’s degree in Computer Science, Electronics, or related technical field.
Nice-to-Have Skills
- Hardware interfacing (USB, Ethernet), multimedia interfaces (touch, audio/video).
- Fault-injection and hardware simulation experience.
- Knowledge of peripheral communication protocols (e.g., GMSL, IP).
Job Title: Sr. Automation Engineer
Duration: Long Term
Client: LTTS
Job Summary
Panasonic Avionics Corporation is seeking Senior Automation Engineers to lead and enhance advanced automation solutions for embedded and UI-driven systems. The ideal candidates will bring deep expertise in Python-based automation, Robot Framework, and QNX environments, with a strong focus on scalable test architecture, framework migration, and high-volume regression execution. This role requires hands-on technical leadership, cross-layer debugging skills, and collaboration within complex embedded and aviation-grade systems.
Mandatory Technical Skills
(Minimum 5+ years of hands-on experience in each)
- Python automation using Pytest or Robot Framework
- UX/UI Automation & Testing
Key Responsibilities
- Design, architect, and enhance scalable automation frameworks using Python and Pytest.
- Perform migration of automation assets from Robot Framework to Python/Pytest, ensuring feature parity and long-term maintainability.
- Analyze and interpret large Robot Framework keyword libraries and enable reuse within Python-based executions.
- Optimize hybrid execution models involving both Pytest and Robot Framework assets.
- Develop wrapper layers, fixtures, utilities, and reusable automation components.
- Independently debug complex cross-layer automation issues spanning Python, Robot Framework, QNX OS, and device-level tools.
- Integrate automation frameworks with CI/CD pipelines using tools such as Jenkins, GitLab CI, or Azure DevOps.
- Execute and maintain UI and device automation using Appium, Selenium, or equivalent tools.
- Enforce modular test design principles, including page-object and page-keyword patterns, to ensure long-term automation maintainability.
- Mentor junior engineers and uphold automation design, coding standards, and best practices.
Required Qualifications
- 5+ years of hands-on experience with Python automation and Pytest.
- Strong practical experience with Robot Framework, including keywords, resources, variables, and test structuring.
- Proven experience managing and maintaining large keyword repositories (1000+ keywords).
- Solid understanding of Git version control, branching strategies, and CI/CD workflows.
- Experience with UI and device automation tools such as Appium and Selenium.
- Strong analytical, debugging, and problem-solving skills with the ability to work independently.
- Excellent communication skills and experience working in cross-functional teams.
Preferred Qualifications
- Experience in mobility, embedded systems, aviation, or high-volume regression environments.
- Exposure to automation framework migration, cross-framework interoperability, or keyword reuse models.
- Bachelor’s degree in Computer Science, Electronics, Engineering, or a related fiel
We are seeking a Senior Lead Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.
Key Responsibilities
• API & Backend Development: Design and maintain production-grade RESTful APIs using Python (FastAPI, Flask) with a focus on asynchronous processing.
• Database Engineering: Architect relational schemas and write optimized SQL in PostgreSQL, ensuring data integrity and query performance.
• React Integration: Partner with frontend teams to define API contracts, handle state-consistent data fetching, and implement secure authentication (JWT/OAuth2).
• CI/CD & Deployment: Build and manage automated deployment pipelines (e.g., Azure DevOps or Jenkins) to move code from local environments to staging and production.
• Containerization & Cloud: Package applications using Docker and manage deployments on cloud platforms or container orchestrators (Kubernetes/ECS).
• System Reliability: Implement automated testing (PyTest), logging, and monitoring to ensure high availability of integration services.
Technical Requirements
• Experience: 10+ years of professional backend development with a heavy emphasis on Python and API architecture.
• PostgreSQL Expert: Advanced SQL knowledge, including indexing strategies, migrations (Alembic/Flyway), and performance profiling.
• DevOps Tooling: Hands-on experience with Docker and building CI/CD pipelines for Python applications.
• Frontend Literacy: Solid understanding of React (Hooks, Context API) and how it consumes complex JSON structures.
• Infrastructure as Code (Bonus): Familiarity with Terraform or AWS CloudFormation is a significant plus.
The "Lead" Expectation
At the 10-year mark, we expect more than just "feature delivery." We are looking for a candidate who:
• Automates Everything: If a task is done twice, they write a script or a CI job for it.
• Designs for Failure: Implements proper error handling, retries, and health checks in the API layer.
• Collaborates Across the Stack: Can jump into a React component or a Postgres execution plan to find the root cause of a bottleneck.
Python AI Engineer (Prompt & Agentic Systems)
Location: Hybrid –Atlanta, GA (3 days a week onsite)
Client: Retail client
About the Role
We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.
Key Responsibilities
- Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.
- Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.
- Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.
- RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.
- Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.
- API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.
- MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.
- Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.
- Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.
Required Qualifications
- Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).
- Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.
- Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).
- Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).
- Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.
- Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.
- Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.
- Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).
Nice to Have
- Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.
- Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.
- Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.
- Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).
- Background in LLM finetuning, RLHF/DPO, or synthetic data generation.
- Front-end basics for AI UX (React/Next.js) or chat UI patterns.
- Domain knowledge in HR/ATS, customer support, or internal enterprise workflows.
Join the team leading the next evolution of virtual care.
At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.
Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.
Summary of Position
As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example.
Essential Duties and Responsibilities
Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners.
Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production.
Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow.
Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs.
Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI.
Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently.
Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up.
Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data.
Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap.
Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority.
Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk.
The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.
Supervisory Responsibilities
No
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable.
7+ years of experience in software engineering.
Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling.
Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs.
Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support.
Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns).
Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response).
Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs.
Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality.
Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders.
Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews.
Bonus Qualifications
Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations.
Experience with Azure and containerized deployments (or similar cloud-native environments).
Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams.
Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores).
The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.
#LI-SS2 #LI-Remote
We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.
As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.
Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Why join Teladoc Health?
Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.
Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.
Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.
Must be local to TX
Role Overview
- He’s ideally looking for someone with 13+ years of experience, strong architecture depth, and the ability to clearly explain designs.
- Must have experience using AI is used in day‑to‑day development.
- Must have experience as a API Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.
Job Summary
We are seeking a Principal-level Full Stack Lead Developer with 13+ years of experience to drive high-priority engineering workstreams. This role is for a technical heavyweight who can lead new projects in parallel with existing leadership while maintaining exceptional architecture depth. You will be responsible for the full lifecycle of high-performance FastAPI and React applications, ensuring they are resilient, observable, and scalable. We expect a leader who views AI development tools as a force multiplier for velocity and can clearly articulate complex design decisions to stakeholders.
Key Responsibilities
- Project Sovereignty: Independently lead and deliver new, complex workstreams from inception to launch, acting as a technical peer to existing leadership (e.g., Sai).
- System Architecture: Design and defend distributed microservices and event-driven architectures. You must be able to clearly whiteboard and communicate design patterns to both technical and non-technical audiences.
- Hands-on Execution: Maintain high-velocity output of clean, production-grade code using FastAPI (Python) and React (TypeScript).
- Platform Reliability: Architect and implement global Error Handling frameworks, centralized Logging (e.g., OpenTelemetry, ELK), and API Management strategies including Rate Limiting and versioning.
- Event-Driven Messaging: Oversee the implementation of asynchronous service communication using ActiveMQ or AWS EventBridge.
- AI-Augmented SDLC: Deeply integrate AI coding tools (e.g., CloudCode, Cursor, GitHub Copilot) into daily workflows to accelerate prototyping, refactoring, and automated testing.
- Engineering Mentorship: Foster a culture of excellence through rigorous code reviews and by unblocking senior engineers on complex technical hurdles.
- Product Collaboration: Work closely with Product Managers to turn high-level roadmaps into technical reality, providing accurate estimates and identifying technical risks early.
Required Skills & Qualifications
- Experience:13+ years of professional software development with a proven track record of leading large-scale products.
- Tech Stack Mastery: Expert-level FastAPI (Async Python) and modern React (Hooks, TypeScript, Performance Profiling).
- Advanced Governance: Hands-on experience with API Gateway patterns, request throttling, and securing distributed systems (OAuth2/JWT).
- Observability & Messaging: Deep knowledge of structured logging, distributed tracing, and message brokers (ActiveMQ or EventBridge).
- AI Tooling: Advanced proficiency in using AI tools for Fast Development to reduce manual overhead and multiply team output.
- Database & Infrastructure: Expert-level PostgreSQL (tuning/indexing), Redis (for caching/rate-limiting), and container orchestration (Kubernetes/Docker).
- Communication: Exceptional ability to translate technical "scars" and architectural risks into clear business impact.