Symphony Solutions

Customer description:

AI companion (assistant) on your shoulder who's always watching and giving you insights in what's happening and what you want to achieve. Its mission is to empower users to effortlessly capture their thoughts, conversations, and ideas via voice, store them securely, retrieve insights through smart AI-powered search, and receive personalized coaching prompts, respecting privacy and user control. Team: Architect, 2 BE (Python), 1 Mobile (Kotlin), QA, DevOps, UI/UX, BA.

Job Requirements:

• 5+ years of professional experience with Python (3.9+).
• Strong background in building scalable backend services (FastAPI/Django/Flask).
• Experience with AI/ML integration (LLMs, NLP, vector databases).
• Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, DynamoDB).
• Familiarity with cloud platforms (AWS preferred), Docker/Kubernetes, and CI/CD.
• Strong problem-solving and communication skills; proactive, ownership-driven mindset.

Responsibilities:

• Develop and maintain backend services.
• As a must-have, apply Vibecoding in Cursor as part of the development workflow to accelerate and refine code delivery.
• Design and optimize API endpoints for mobile and web clients.
• Integrate AI/ML models, embeddings, and vector search into production workflows.
• Ensure scalability, performance, and security of backend systems.
• Collaborate with mobile and DevOps teammates to deliver end-to-end solutions.
• Write clean, testable code and maintain high-quality standards.

Customer description:

At our project, we are embarking on an ambitious project to revolutionize the online gambling industry. Our vision is to develop a cutting-edge gambling platform that will serve as the backbone for multiple different brands, each with its unique identity and target audience. This platform will leverage the latest technologies to ensure a seamless, secure, and engaging experience for users across the globe.

As a Senior Scala Developer on our team, you will play a pivotal role in bringing this vision to life. You will be involved in every stage of the development process, from initial design to deployment, focusing on creating a scalable, high-performance backend system that can support the diverse needs of multiple brands.

Working on this project will expose you to the latest technologies and challenges in software development, offering ample opportunities for growth and innovation. You will be part of a dynamic team that values creativity, collaboration, and a commitment to excellence.

We have 2 teams, 10scala guys in total, also 3 FE/Fullsteck devs, 5 QAs

Job Requirements:

• At least 4+ years of experience building backend systems.
• At least 3+ years of experience working with Scala.
• Experience with iGaming platforms or sportsbook projects would be a strong plus
• Experience building RESTful APIs / WebSockets.
• Proficient in Scala and its ecosystem (e.g., Akka, Play Framework, SBT).
• Experience working with distributed messaging systems such as Kafka, ActiveMQ, RabbitMQ, etc.
• Experience with microservices architecture.
• Containerization technologies (e.g., Docker, Kubernetes).
• Strong understanding of software design patterns, data structures, and algorithms.
• Experience with database technologies (SQL and NoSQL).
• Familiarity with cloud services (AWS, GCP, or Azure) and DevOps tools (CI/CD pipelines).
• Experience in gambling or online gaming.
• Strong written and verbal communication skills in English (B2)
• Be able to work in a multicultural work environment.
• Strong problem-solving skills.
• Self-organized and able to quickly learn new technologies and paradigms.

Desirable:

• Experience with JIRA and Confluence.
• Experience with ZIO and/or Typelevel stack (CATS etc.)
• Experience with Couchbase DB
• Experience with ElasticSearch
• Experience with TDD development processes. 

Responsibilities:

• New features development within the existing product.
• Communicating with team members and Product team.
• Resolving technical problems as they rise.
• Bug fixing of newly developed features (no refactoring of the old code).
• Writing Unit tests and integration tests.
• Scrum ceremonies participation.
• Mentoring middle and junior colleagues might be required.

Customer description:

Our client is seeking a compact, senior engineering squad from a single vendor to build and evolve an AI‑powered, security‑first platform. The team will deliver new features, integrations, and a full English↔Hebrew (LTR↔RTL) experience. Tech stack: Frontend – Angular; Backend – .NET (C#) microservices; Cloud – Azure; CI/CD – Azure DevOps; Design – Figma; AI – Azure OpenAI / OSS models (as applicable), vector search (e.g., Azure AI Search/pgvector), orchestration (e.g., Semantic Kernel/LangChain), MCP for tool integrations.

Job Requirements:

Tech Stack & Core Expertise:

• Backend: C#, .NET, Microservices architecture
• Cloud & DevOps: Azure, AKS (Kubernetes), Azure DevOps CI/CD, Infrastructure as Code
• AI/ML Development:
  • Experience building and deploying offline models (non-SaaS / tenant-isolated AI instances)
  • Strong background in RAG (Retrieval-Augmented Generation) pipelines, embedding creation, and index management
  • Expertise in classification models, fine-tuning, and AI lifecycle automation
  • Hands-on experience with MLflow, model versioning, and training pipelines
  • Familiarity with vector databases, document ingestion, and data preprocessing for unstructured data
  • Experience integrating AI models with microservices and APIs in production environments

Security & Compliance:

• Strong understanding of application security, data protection, and secure AI design principles
• Experience implementing role-based access, data isolation, and compliance frameworks (e.g., NIST, ISO, GDPR)

Preferred Soft Skills:

• Ability to lead cross-functional development between AI, backend, and DevOps teams
• Comfortable defining architecture, reviewing code, and mentoring engineers
• Strong documentation and communication skills

Responsibilities:

• Own the AI architecture and main components; lead the team; drive security, quality, and delivery.
• Define AI system architecture: model serving, retrieval (RAG), evaluation, guardrails, data pipelines.
• Choose/operate model endpoints (Azure OpenAI or OSS), vector DB, caching, and orchestration framework.
• Establish AI safety (prompt‑injection defenses, PII redaction, rate‑limit/abuse protection, content filters).
• Lead MLOps (datasets, fine‑tuning/LoRA when needed, evals, versioning, rollback, drift monitoring).
• Own cross‑team engineering standards (coding, testing, docs, ADRs) and delivery plan.