About Octave

Octave is a modern mental health practice that offers both in-person and virtual therapy. We focus on making high-quality care more accessible and affordable by partnering with insurance providers. Our goal is to support clients and clinicians with a system built on equity, effectiveness, and sustainability.

About the Role

Octave is seeking to partner with existing group practices in Pennsylvania (Philadelphia area) that want to provide excellent mental health care, both in-person and virtually. As an Octave partner, your team will join a supportive community of clinicians focused on client-centered, evidence-based therapy. 

At Octave, we take care of all backend operations so your clinicians can focus on providing care. Our team manages credentialing, billing, marketing, technology support, and client referrals. This allows your clinicians to focus primarily on seeing the clients we connect them with and completing session documentation, removing the administrative burden from your group practice.

Your providers will support adult clients managing stress, anxiety, depression, and related concerns. We emphasize evidence based practices such as CBT and DBT with a strong commitment to culturally responsive care. 

What You’ll Do

• Provide therapy to adults dealing with stress, anxiety, depression, and other concerns.
• Use short-term, evidence-based approaches like CBT or DBT.
• Offer culturally responsive care.
• See clients virtually and/or in person (you must have your own office space to hold in-person sessions).

Qualifications for Group Practices

• Must have at least 3 or more fully licensed clinicians who would be joining Octave.
• Required to have your own office space and are willing to provide in-person services (located within the markets we're currently hiring for).
• All clinicians must be fully licensed (no associate or intern level providers).
• Licensed in Pennsylvania (LMFT, LPC, LCSW, PsyD)
• Must be licensed and in good standing with your governing licensing board.
• At least 1 year of post-license experience (2+ preferred).
• Training in therapies such as CBT, DBT, trauma-focused treatments, or similar.
• Certain payor relationships may exclude you from employment.
• Master’s Degree or higher from an accredited school of Social Work, Psychology, Counseling or Marriage, or Family and Child Counseling.

Octave's Company Values: 

The below values drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
• People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
• Must be able to observe and communicate information on a laptop. 
• Move up to 10 pounds on occasion. 
• Must be eligible to work in the United States without sponsorship now or in the future.
• Octave’s policy requires that all clinical sessions be conducted while you are physically located in the United States.

System Requirements

Octave IT supports these minimum system requirements for the most optimized experience using Octave telehealth tools:

• Computers that are Mac OS (Ventura or later) and Windows OS (10/11)
• Computers kept up with the most recent security updates
• An unmanaged device (a device not provided to you by another company/organization)

Additionally, Octave IT does not support using iOS, Android, or ChromeOS as your primary device.

Compensation

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The hourly compensation range for this role is listed below dependent on licensure:

In-Person Rates:
$58-$133/hour for master's level license.
$78-$143/hour for doctoral-level license.

Virtual Rates:
$55-$130/hour for master's level license.
$75-$140/hour for doctoral-level license.

How We Use Technology in Hiring:

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Company Description

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.

Job Description

We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end and/or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.

In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.

• Experience leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers
• Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
• Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
• Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
• Experience working in highly ambiguous environments, and operating with urgency
• Lead Agile ceremonies and technical planning for the Agentic AI team

Strong Candidates have:

• Experience designing and deploying complex agentic systems using LLMs
• Hands-on work with multi-agent coordination, routing, and tool orchestration
• Passion for building autonomous and semi-autonomous systems that solve real customer problems

This role is a full-time position located out of our office in Pittsburgh, PA. 

This role may require up to 10% travel

Scope of Responsibilities 

• Designs and builds multi-agent systems with tool use, memory, routing, and planning
• Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
• Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
• Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems

Qualifications

• U.S. Citizenship is required

Required Skills:

• Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
• Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
• Minimum 2  years of experience leading or mentoring engineering teams in production environments
• Practical experience in building, developing, and productionizing machine learning systems
• Advanced software skills in Python
• Experience with common LLM algorithms and implementations
• Hands-on experience with AWS and cloud infrastructure
• A strong desire to learn and investigate new technologies
• Familiarity with Git source control management
• Ability to work collaboratively with little supervision
• A burning desire to work in a challenging fast-paced tech environment

Desired Skills:

• Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Experience with Claude Code and GenAI coding best practices.

We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.

Govini is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Shift4 is expanding globally and hiring Customer Service, Associates to work with customers!

This is an onsite opportunity based at Shift4's headquarters in Center Valley, PA office and we operate Monday - Friday.

Summary:
The Customer Service, Associate provides front-line support to merchants across multiple channels, resolving inquiries related to payments, POS systems, hardware, software, and accounts. This role requires technical curiosity, problem-solving skills, and the ability to manage multiple tasks while delivering clear and professional communication.

Responsibilities:

• Answer and resolve customer inquiries regarding payment processing, billing, hardware, software, and accounts.
  
  
• Walk merchants through troubleshooting steps for credit card terminals, POS systems, and integrated software platforms.
  
  
• Diagnose technical issues and escalate complex cases to higher-tier teams when necessary.
  
  
• Use internal systems, knowledge bases, and tools to provide fast and accurate support.
  
  
• Educate users on self-service features and digital support tools.
  
  
• Document cases and follow up to ensure full resolution.
  
  
• Manage multiple communication channels (phone, email, chat, ticketing) efficiently.
  
  
• Maintain awareness of payment gateways, POS systems, APIs, backend dashboards, CRM & ticketing platforms, and related tools.

Qualifications:

• Stellar verbal and written communication skills.
  
  
• Strong technical curiosity and ability to navigate applications and systems.
  
  
• Problem-solving skills with the ability to explain technical concepts clearly.
  
  
• Experience in customer service or technical support (POS, call center, SaaS, or FinTech preferred).
  
  
• Familiarity with payment processing or restaurant/hospitality technology is a plus.
  
  
• Ability to multitask and stay organized in a fast-paced environment.

#LI-SM2

Shift4 is expanding globally and seeking a mid-level Software Engineer to contribute to the development and maintenance of Shift4’s production systems. This role involves writing clean, modular, and maintainable code, participating in code reviews, deploying builds to a continuous integration pipeline, and owning major projects. As an integral member of the engineering team, the individual will collaborate on architecture design, optimize existing systems, and build scalable applications.

This role is based onsite at Shift4's headquarters in Center Valley, PA. 

Responsibilities

• Contribute stable, well-written code to the production system.
• Provide detailed feedback for colleagues via code reviews to ensure code quality.
• Begin learning and understanding new languages or frameworks.
• Deploy multiple builds to a continuous integration pipeline with minimal issues.
• Write and maintain test cases for various projects to ensure code quality.
• Set up and manage staging and production environments for development.
• Own and deliver at least one major project with successful outcomes.
• Contribute to architecture design for both large and small-scale systems.
• Provide feedback on optimization or refactoring for existing systems to improve performance.

Qualifications

• This is a mid-level role requiring a minimum of 3 years of experience in front-end design and development, including coding in JavaScript, React, CSS, and HTML.
• Experience with Node.js, NextJS, Typescript, React, Git, Tailwind CSS.
• Familiarity with Unix system administration and shell scripting.
• Familiarity with unit testing and high code coverage (Mocha, Xunit experience is a plus).
• Ability to write modular, maintainable, and clean code.
• Experience designing, building, and shipping websites, software, and/or mobile apps.
• Strong communication skills in English with the ability to clearly communicate technical topics to non-technical people.
• Proven ability to work well in a fast-paced, multi-disciplinary team environment.
• Proficiency with Git/GitHub.
• Ability to learn, adapt, and keep an open mind toward new technologies.

Additional experience that is a plus to have:

• Bachelor’s degree in Information Technology, Computer Science, or equivalent preferred.
• Any relevant certifications (Palantir Foundry, Oracle ERP, PMI, etc.) are beneficial but not required.
• Experience working with NextJS applications, NodeJS REST APIs, and backend databases.
• Well-versed in problem-solving, source code management, unit testing, and CI/CD pipelines.

#LI-BN1

Mission Summary:

Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What you'll be doing:

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.
  
  

What we're looking for:

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in React, Typescript and modern frontend architecture
• Proficiency in Vue
• Strong product sense with a focus on UX and usability.
• Ability to work with high ownership and autonomy.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit
• Capability to work directly with customers to identify foundational needs and provide solutions.
  
  

Bonus Points(not required): 

• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.
• Exposure to backend systems (Node, Python)
• Experience in Game Development or 3D Visualization

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

About the Role:

We are looking for experienced Mid-level (Full Stack, Backend, Frontend) Engineers passionate about building an excellent user experience up and down the layers of an application. The ideal candidate has contributed to features on at least one sizable production application using modern frameworks within the past year. An experienced Mid-level Engineer at Perpay will spend their time writing code, reviewing PRs, and helping scope & design new features. We value Engineers who demonstrate excitement around solving tough problems and delivering solutions in a fast-paced environment.

We aim for our Engineering team to be a place that Mid-level Engineers can push our quick-growing startup forward, and grow into future Senior Engineers and Engineering leaders. The significant projects and initiatives available to our Mid-level Engineers provide opportunities to expand experience, ownership, and business value.

Much of our team is full stack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, Typscript, React, React Native, Python, Django, Flask, Kubernetes, AWS, Docker and more.

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Collaborate closely with the development team, including UX designers, product managers, and other Engineers, to implement solutions that meet business needs and provide the best user experience
• Work with stakeholders to design, build, test, and release new features for our platform
• Write clean, efficient, and maintainable code. Break down code contributions into reviewable, shippable chunks
• Contribute to the Engineering design process by bringing forward tradeoffs and opinions
• Identify opportunities to reduce technical debt and implement changes to improve developer experience and team velocity
• Participate independently in on-call rotation and coordinate incident response

What You’ll Bring:

• Minimum of 2 years experience as a Software Engineer (excluding internships or coop experiences) with a focus on full stack development
• Strong proficiency in at least one backend application framework such as Django or Flask and experience with frontend technologies such as React, Angular, or Vue.js
• Proven experience building, deploying and maintaining scalable web applications, with knowledge of database design and management
• Knowledge of RESTful API design and integration
• Experience working with cloud infrastructure and containerization technologies such as AWS, Docker, and Kubernetes is preferred
• Passion for learning new technologies and keeping up with industry trends
• Ability to collaborate with cross-functional teams, including UX designers, product managers, and other Engineers
• Strong communication skills and ability to articulate technical concepts to non-technical stakeholders

Hey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

Director, Software Engineering

Department: Product Development

Reports to: SVP, Software Engineering

The Director, Software Engineering is responsible for the delivery of Enterprise SaaS products supporting the Clinical Trial industry, overseeing multiple on-shore and off-shore development teams and the delivery of multiple products and initiatives. The Director, Software Engineering provides strategic planning and tactical execution management, agile release planning across multiple teams, process and tool design, resource management, and continuous improvement. The role demands a blend of technical and business acumen, strategic and tactical focus, and an ability to balance architectural best practice and innovation pragmatism. In a typical business day, the Director, Engineering may find themselves pair-programming with developers on a priority feature or defect and briefing the C-suite on roadmap direction and key technical decisions.  

Responsibilities:

• Works with the SVP of Engineering to build a technical vision for the product line.
• Explores new technologies for future planning and potential implementation and evaluates and identifies appropriate technology to deliver business objectives.  
• Ensures engineering best practices are defined and met across teams and develops and governs technical standards to ensure adherence. 
• Collaborates with architects and principal engineers in the technical design of initiatives and business priorities. 
• Experience leading distributed or cross-functional teams globally, including recruiting, mentoring, and retaining team members in a continuous improvement environment. Provides leadership and professional growth with the goal to build our next generation of engineering leaders. 
• Extensive knowledge of enterprise architecture patterns, microservices, and distributed systems design 
• Experience with enterprise SaaS architecture and development in a product-driven environment, including multi-tenancy, scalability, and platform reliability at scale 
• Fluency in data architecture concepts including data models, data warehouses, analytical platforms, and modern data mesh or lakehouse patterns 
• Familiarity with service portfolio management, API governance, and technical debt prioritization at the enterprise level 
• Works closely with Product Management and Architecture to discover business requirements and technical approach for product initiatives and features. 
• Supports teams in the discovery and design of product backlog items and identifies and manages cross organization dependencies. 
• Develop Proof of Concept solutions to demonstrate technical design and can dive into the code and pair program with engineers as necessary.  
• Initiates and drives continuous improvement initiatives, challenges self and teams to continuously grow and achieve new levels of success. 
• Will be held accountable for the design, development, and delivery of Suvoda product and solutions.  
• A “team-player” with the ability to work within a highly collaborative environment. 
• A creative and critical thinker that is able to confidently express ideas in an articulate, concise manner. 

Requirements:  

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering or equivalent relevant work experience and/or training. 
• At least 10 years of progressive experience in the software industry, including at least 5 years in a leadership position. 
• Proven experience delivering cloud-native applications on AWS, including IaC tooling (Terraform), container orchestration (EKS), and cloud cost optimization
• Good working knowledge of Python, Django ORM, Django REST Framework, and Angular for building and maintaining scalable backend and frontend services; hands-on familiarity with event-driven cloud service architectures leveraging AWS Lambda, DynamoDB, ElastiCache (Redis), and Postgres RDS 
• Strong experience managing people and teams; setting goals, providing clear technical direction, and holding teams accountable for delivering business value. 
• Strong experience with software development best practices and tooling, agile testing, developer operations, continuous integration and delivery, and site reliability engineering. 
• Relevant technical knowledge of enterprise architecture, cloud services, cloud development, containerization, business domain modelling, data warehouses and analytical platforms. 
• Proven experience in Agile Software Development methodology. 

Nice to Have:

• Hands-on experience adopting and governing AI coding assistants (e.g., Claude, GitHub Copilot, Cursor) across engineering teams, including establishing standards for responsible use, prompt engineering best practices, and measuring productivity impact
• Familiarity with Anthropic's Claude API or Claude Code for agentic developer workflows, including task automation, code generation pipelines, and AI-assisted code review
• Experience integrating LLM-powered tooling into the SDLC — such as AI-assisted test generation, documentation automation, or intelligent PR summarization
• Demonstrated ability to lead organizational change around AI adoption — including upskilling teams, establishing guardrails, and balancing developer autonomy with governance
• Familiarity with prompt engineering principles and the ability to coach engineers on effective human-AI collaboration patterns 

About the Role:

We are looking for senior backend engineers passionate about backend technology, excellent user experience and system reliability. The ideal candidate has helped lead the technical design and implementation of backend features on at least one sizable production application within the past year. A senior backend engineer at Perpay will spend their time writing code, reviewing PRs, mentoring engineers, and helping scope & design new features. We are looking for people who can bring backend technical expertise to push our technology forward — whether it’s hosting a lunch-and-learn on a new backend technology or directing a large refactor. We value engineers who demonstrate excitement around solving tough problems and delivering solutions in a fast-paced environment.

Much of our team is fullstack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, React, React Native, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more.

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Design and evolve RESTful APIs used by our frontend and internal systems
• Own data modeling decisions across our relational databases with an eye toward performance and maintainability
• Improve reliability, observability, and operational excellence of our backend systems (metrics, logging, tracing, alerting)
• Participate in architectural decisions around service boundaries, asynchronous workflows, and distributed system tradeoffs
• Diagnose and resolve production issues across multiple services
• Contribute to infrastructure-as-code and CI/CD improvements to increase developer velocity and system stability
• Partner with product and stakeholders to translate complex business rules into maintainable backend systems

What You’ll Bring

• 5+ years of experience building web applications at scale in at least one modern language / framework (e.g. Python/Django, Rails, etc.)
• 2+ years of experience leading technical teams and large, complex projects
• Deep understanding of relational databases (e.g., Postgres), query optimization, indexing strategies, and schema evolution
• Experience operating production systems in a large cloud provider (e.g. AWS)Familiarity with containerized environments (Docker) and orchestration systems (Kubernetes)
• Experience with background job systems and message queues (e.g. Celery)
• Working knowledge of caching strategies (e.g. Redis)
• Experience with monitoring/observability tooling (e.g. Datadog, CloudWatch)
• Strong understanding of system reliability, failure modes, and operational tradeoffs
• Ability to communicate complex system behavior clearly to non-technical stakeholders
• A solutions-oriented mindset, willing to step outside your primary domain to unblock teammates and ensure successful delivery

NYC-level total cash-comp (base $160k into the $200’s, plus equity and a discretionary cash bonus)

We know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

About the Role:

We are looking for motivated graduates to join our Software Engineering team in 2026! You’ll contribute to our codebase, test & release features into production, and collaborate with other teams like product, design, data science, analytics, and operations. The ideal candidate has software development internship experience and is enthusiastic about learning and growing! We're particularly interested in working with candidates excited about joining a mission-driven startup. On our team, you’ll sharpen your skills, learn new tools alongside other new graduates, and learn from experienced engineers. Plus, our team organizes events and social gatherings outside of work hours. We believe having a fun and engaging work environment is essential to fostering a positive company culture and creating a strong foundation for career growth.

Much of our team is fullstack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, React, React Native, Redux, Python, Django, Kubernetes, AWS, Docker, Terraform, and more.

Our greatest strength is our people, and we’d love for you to be one of them!

Responsibilities:

• Develop, test, and release features for our customer-facing and internal platforms alongside the engineering team
• Write clean, efficient, and maintainable code
• Collaborate cross-functionally to develop efficient and user-friendly solutions to support the complex needs of our business
• Actively participate in design reviews, code reviews, and discussions to improve our software architecture and implement efficient processes within our engineering team

What You’ll Bring:

• Currently pursuing a Bachelor’s degree or higher or a recent graduate studying Computer Science, Mathematics, or a related technical field 
• 1 to 2 previous Software Engineering internships with a focus on fullstack software development
• Experience with at least one backend application framework such as Django or Flask
• Experience with frontend technologies such as React, Angular, or Vue.js
• Knowledge of RESTful API design and integration
• Experience with Python or another dynamically typed language
• A strong focus on writing and deploying clear, readable, testable code
• Ability to pick up new technologies quickly, with software engineering fundamentals being valued more than familiarity with specific tools or languages
• Eagerness to learn, grow, and seek feedback from team members
• Strong communication skills

Even if you don't check all the boxes, please apply if interested. You might be exactly what we're looking for!