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Requirements:
6 Expertise in Node.js, TypeScript, MongoDB, and Kafka, with a deep understanding of fullstack development
Strong knowledge of React.js and modern frontend best practices
Experience working with AWS services, designing scalable cloud-based solutions
Experience with real-time data streaming, event-driven architectures, and messaging queues
A problem-solving mindset, able to break down complex challenges into actionable solutions
Ability to design and implement scalable, modular architectures for long-term maintainability
Familiarity with CI/CD pipelines, and cloud infrastructure

Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.

Requirements:
5+ years of professional experience with C# OR Java.
Strong hands-on experience with the .NET ecosystem (.NET Framework, .NET Core, ASP.NET Core, Kestrel).
Bachelors degree in Computer Science or a related field from university.
Experience designing, building, and operating microservices on Kubernetes.
Proven ability to own features e2e - from planning and design through development and unit testing.
Excellent communication skills and a strong team-oriented mindset.
Preferred
Experience with Microsoft Azure (e.g., App Service, AKS, Service Bus, Key Vault).
Experience developing and publishing reusable .NET libraries as NuGet packages.

Requirements:
Description> Our Business Bond Sports is a fast-growing, vertical software company that powers recreational sports and fitness centers. We help anyone that owns or operates a place to play sports better manage their courts, fields, pools, gyms, or other athletic spaces, including rentals, program management and registration, memberships and point of sale systems. Our name is derived from our belief that sports can create lifelong bonds between people and communities. By providing facilities with a comprehensive operating system, Bond Sports can make access easier for more people. Commercially, the recreational sports market is an industry that is expected to grow to over $100 Billion in the next 10 years, providing a tremendous growth opportunity for our company and our employees. Our Team Our management team consists of experienced entrepreneurs with proven success in growing early stage tech startups, as well as operating large scale business units and products for leading global, publicly traded companies. We are building a diverse team of smart, curious, collaborative, passionate and hardworking people, and are looking for the right people to contribute to our culture. The Role We're looking for an experienced Mid-Level Full Stack Developer to join our growing engineering team. You'll work closely with product managers, designers, and fellow engineers to build and scale high-impact features across our B2B2C SaaS platform. Your work will directly influence the experience of thousands of users, and you'll play a key role in shaping our architecture, performance, and engineering best practices as we continue to scale. Job Responsibilities: Develop and maintain Full-Stack applications, following coding standards and best practices. Collaborate with the team to ensure code quality and contribute to design and code reviews. Assisted in architectural discussions and ensured alignment with project goals and standards. Work with cross-functional teams to enhance the development lifecycle and productivity. Continuously learn and stay updated on emerging technologies and trends. Actively participate in the team's growth by sharing knowledge and collaborating with peers. Requirements Must-Haves: 2+ years of experience in Full-Stack web development. Experience in technologies such as Node.js, React, and TypeScript. Experience with a server-side language (e.g., Node.js, Python, JAVA, C #). Familiarity with Front-End frameworks like React, Angular, or similar. Exposure to cloud platforms such as AWS or GCP. Basic knowledge of databases, analytics, cloud architecture, and data pipelines & ETLs. Bachelor's degree in Computer Science (or related field) Bonus: Eagerness to learn and grow in a dynamic environment. Strong communication skills and the ability to collaborate effectively. A proactive mindset with the flexibility to adapt to changing priorities. A passion for technology and a desire to contribute to innovative solutions.

Requirements:
Strong proficiency in SQL with hands-on experience building data pipelines (4+ years)
Experience with modeling data using dbt or similar tools.
Proficiency in Python
Solid grasp of software engineering best practices, including query optimization, version control (e.g. Git), code reviews, and documentation.
Analytical mindset with strong problem-solving skills, the ability to manage multiple priorities independently and a proactive approach to improving data processes and tools.
Comfortable in a fast-paced, cross-functional environment; able to collaborate with teams across Product, BizOps, and Marketing.

Requirements:
M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering or a related technical field.
5+ years of experience in NLP, machine learning or deep learning.
2+ years of experience managing ML/AI or software engineering teams
Excellent understanding of Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents.
Hands-on experience with deep Learning frameworks (Pytorch, Tensorflow or JAX) and other relevant libraries (HuggingFace, vLLM, etc.).
Experience with LLM fine-tuning and deployment at scale on distributed GPU clusters.
Familiarity with STT / ASR models and common audio / speech processing methods.
Strong software engineering skills in Python.

Requirements:
6+ years of production-grade Python development experience.
Strong background in distributed systems: Youve built and debugged complex, event-driven architectures (e.g., Kafka, microservices).
Expertise in Data Engineering at scale: Experience building massive data pipelines and architecting Data Lakes (S3) with compute layers like Athena for large-scale analysis.
Deep understanding of the MLOps lifecycle: Experience taking models from training to deployment, including versioning and performance monitoring.
Experience with containerized environments, microservices, and Kubernetes.
Experience with workflow management frameworks (Temporal, Airflow) and asynchronous programming.
Experience with cloud platforms (AWS preferred) and model-serving frameworks (Triton, VLLM/SGLang, Ray Serve).
A love for exploring new tech and the drive to implement modern frameworks that move the needle.

Requirements:
5+ years software development, with emphasis on mobile.
Swift/Objective-C Mastery - Deep technical knowledge of iOS/macOS development, allowing you to effectively review code and architect solutions.
Audio/Video Processing Experience - Familiarity with AVFoundation, CoreAudio, or similar frameworks crucial for Riverside's recording technology.
Cross-Platform App Architecture - Experience building apps that synchronize seamlessly across iOS, iPadOS, and macOS.
Performance Optimization - Experience optimizing mobile applications for battery life, memory usage, and CPU performance.

Requirements:
4+ years in Business Operations
Hands-on experience integrating tools like HubSpot, Snowflake, Gong, and GenAI platforms (Curser, Claude, OpenAI, Gemini,n8n).
Ability to scope and deploy AI agents (e.g., research bots, churn predictors, onboarding copilots).
Strong technical proficiency.
Strategic mindset with ability to translate GTM processes into clear, automated systems.
Ability to lead AI initiatives and projects within GTM operations

Requirements:
5+ years in DevOps or Platform Engineering
Deep knowledge of AWS networking, IAM, ALB/NLB, and VPC routing
Strong Terraform experience and infrastructure modularization
Kubernetes hands-on experience including Helm, scaling, and security contexts
Comfortable with observability tooling and alerting practices
Good communication skills; experience supporting developers day-to-day
Nice to Have:
Exposure to Crossplane, service mesh (Istio), or Temporal
Familiarity with working in developer-facing platform teams
Experience setting up internal developer platforms or self-service infra

Requirements:
Expert SQL Mastery: You are a SQL power-user. You enjoy solving complex logic puzzles using code and care deeply about query efficiency and data accuracy.
The "Bridge" Mindset: You can sit in a meeting with a Product Manager to understand a business need, and then translate that into a technical data structure that serves that need.
Logical Architecture: You have a natural talent for organizing information. You know how to build a table that is intuitive and easy for other analysts to query.
Product & Business Acumen: You understand SaaS metrics (ARR, funnels, activation, etc.) and how data logic impacts product growth and strategy.
Experience with Analytics Tools: Proficiency in BI tools (Looker, Tableau, etc.) and a strong understanding of how data flows from technical logs to the end-user interface.
Degree: B.Sc. in Industrial Engineering, Information Systems, Economics, Computer Science or a related quantitative field.
Experience: 1+ years of prior experience in a relevant analytics/technical role.

Requirements:
Minimum of 5 years of experience managing and leading engineering teams.
Experience in working directly with customers
Recent experience from the past two years and willingness to a 50% or more Vibe Coding.
Strong leadership and interpersonal skills with a customer-focused mindset.
Experience working in Agile/Scrum development environments. Proven experience in server-side/enterprise application development. Ability to work effectively in a dynamic, fast-paced environment. Self-learner with a passion for staying up-to-date with new technologies
Advantage:
Extensive experience with Java 17/21 and the Spring framework. Proficiency with NoSQL databases such as MongoDB.
Solid understanding of clustering and microservices-based architectures. Familiarity with Docker and Kubernetes is an advantage.
Experience with monitoring and logging tools (e.g., Prometheus, Kibana, Grafana, Elasticsearch, Kiali) is a plus.
Proven ability to effectively communicate with offshore clients and stakeholders.
Excellent English communication skills, both written and spoken, with experience working directly with offshore clients

Requirements:
Essential Requirements:
University degree and 0-3 years of C/C++ development experience
Good knowledge of Python, operating systems; firmware; device drivers; embedded software/firmware; tools and utilities, as applicable
Knowledge of server, storage, networking technologies
Ability to code/debug moderately sophisticated programs using design specifications
Knowledge of software architectures and applications.

Requirements:
Bachelors degree in CS/EE from a leading university.6+ years of experience with web technologies.
Proven track record as a Senior Full Stack Developer or similar role, with a strong portfolio of successful projects demonstrating technical leadership.
Deep experience with server-side development using Node.js.
Strong understanding and hands-on experience with web technologies, architecture, and design patterns.
Experience using AI-assisted development tools (e.g., Claude Code, Cursor) to enhance productivity, generate and review code, and streamline engineering workflows.
High standards for code quality, testing, and performance, with experience establishing these standards for a team.
Proven experience working on large-scale codebases shared by multiple teams.
Solid understanding of web architecture, RESTful API design, and microservices.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Excellent problem-solving skills, with a keen eye for detail and a strong commitment to delivering high-quality work.
Strong communication and interpersonal skills, with the ability to influence and collaborate effectively across teams.
Experience building or integrating LLM-powered features into production applications.
Experience with CI/CD pipelines that incorporate AI-assisted code review or testing.

Requirements:
2-5 years of professional software development experience (preferably in Python).
Strong engineering fundamentals: writing maintainable code, tests, and debugging production issues.
Practical understanding of the SDLC: CI/CD, source control workflows, build/test automation, and developer tooling.
Strong communication skills and a collaborative mindset.
Nice to have:
Experience with internal tooling, platform teams, or developer productivity initiatives.
Exposure to Kubernetes/Docker/cloud infrastructure.
Familiarity with progressive delivery concepts (feature flags, staged rollouts).
Experience translating pain points into requirements and validating impact with data/feedback.