דרושים » תוכנה » MLOps Engineer

Requirements:
5+ years of proven experience in software development
Strong proficiency in Python/Java
Strong background in designing, developing, and debugging complex distributed systems (e.g., microservices, event-driven architectures)
Hands-on experience with containerized environments, microservices, and Kubernetes
Proven experience with at least one major cloud provider (e.g., AWS, GCP, Azure)
Ability to lead technical discussions, mentor engineers, and drive architectural decisions

Requirements:
7+ years building large-scale backend or distributed systems
Strong foundation in distributed systems (consistency, replication, concurrency, fault tolerance)
Proficiency in Java / Go or similar languages
Hands-on experience with high-performance, scalable, and reliable systems
Ability to lead design discussions and influence technical direction across teams
Curiosity and willingness to work with ML systems and workload patterns
Experience with Kubernetes, container orchestration, or cloud-native infrastructure
Thrive in a collaborative, ownership-driven engineering culture
Bonus Points
Experience with ML model serving, vector DBs, model versioning, or GPU orchestration
Background in secure software supply chain workflows
Strong performance debugging and optimization skills

Requirements:
3+ years of experience in a DevOps role, with a strong focus on managing Kubernetes-based environments and Helm orchestration
A proven track record in working with metrics-based monitoring and observability solutions such as Prometheus, Thanos, and Grafana
Experience developing in Python or any other advanced programming language
Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), specifically in building and scaling production-grade infrastructure
Experience implementing CI/CD and automation processes for the deployment of various observability systems and infrastructure components
In-depth knowledge of logging systems and data flows, with familiarity with tools like the ELK stack or Coralogix
Familiarity with APM tools and modern observability standards such as OpenTelemetry, New Relic, or Datadog

Requirements:
Your skills and experience:
Extensive experience building and running workloads in public clouds (AWS, Azure, or both)
Good programming abilities.
Strong working knowledge of and experience in IaC technologies, like Terraform.
Strong commitment to quality designs, automation, and documentation.
BS in Software Engineering (or extensive experience equivalent to).
Pride in ownership, initiative and collaboration.
Eager to learn, discover and become proficient in new tools and languages.
Effective communicator; you love to solve problems and are creative in your work.
You embrace change and are enthusiastic to learn in order to bring projects to proper completion.
Bonus points:
Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions.
Past experience in advertising technology or e-commerce.

Requirements:
5+ years of software development experience across multiple technology stacks
Strong Python programming skills
Proficiency in TypeScript for frontend integration of AI features
Proven experience developing and deploying generative AI applications in production environments
Hands-on experience with large language models (LLMs), fine-tuning, and prompt engineering
Knowledge of microservice architecture and cloud-based deployment
Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
Strong understanding of RESTful APIs and modern web development practices
Solid software engineering fundamentals including version control, testing, and code review
Preferred Qualifications:
Experience in B2B SaaS environments
Knowledge of ML operations (MLOps) practices and tools
Familiarity with vector databases and semantic search technologies
Experience with Retrieval Augmented Generation (RAG) and other advanced AI techniques
Technical leadership experience
Degree in Computer Science, AI, or related field.

Requirements:
4+ years as a Full Stack Engineer
Deep knowledge and hands-on experience with design patterns, data structures, and software design methodologies
Experience with Node.js & TypeScript and/or Java
Experience with Docker, Kubernetes (K8s), Microservices
Experience with Single Page Applications (SPAs) - Vue.js/React/AngularJS/Angular
A data-driven mindset with an understanding of how to leverage data to drive decisions and measure success
Strong communication and collaboration skills to work effectively with cross-functional teams including marketing and sales
A strong focus on delivering value to end users

Requirements:
5+ years of overall software development experience, with at least 3-4 years specifically in Go, including advanced concurrency, performance optimization, and systems-level programming
Strong experience with TypeScript/Node.js for building GitHub Actions, CLI tooling, and automation frameworks
Hands-on experience integrating AI/LLM capabilities into engineering workflows - including prompt engineering, AI agent orchestration, and automated code generation pipelines
Deep understanding of CI/CD platforms, with mandatory experience in GitHub Actions (workflow authoring, custom actions, runner internals)
Proficiency with OpenTelemetry or equivalent distributed tracing and observability frameworks
Experience with Docker and BuildKit internals, including multi-stage builds, layer caching strategies, and build output parsing
Solid understanding of Linux system internals, including process management, file systems, and shell scripting (bash)
Strong background in building developer tools that integrate seamlessly into existing workflows without disrupting them
Advantage Skills:
Experience with build system optimization across multiple ecosystems (Go, Gradle/Maven, npm/yarn, pip/uv, Cargo)
Familiarity with bash parsing libraries or shell interpreters (e.g., mvdan/sh)
Experience with agentic AI systems - autonomous agents that plan, execute, and iterate on code changes with minimal human intervention
Background in pattern detection, anti-pattern recognition, or static/dynamic analysis tools
Experience with Kubernetes (K8s) and cloud-native CI/CD environments
Familiarity with major cloud platforms (AWS, GCP, Azure)
Experience with platforms like Jenkins or GitLab CI
Knowledge of performance profiling techniques and build graph analysis
Experience with JFrog Artifactory or similar binary repository and artifact management platforms
Understanding of software dependency graphs and build orchestration
Familiarity with secret management and security - conscious development practices

Requirements:
Backend-LLM & agent architecture - 5+ years in production ML/AI and backend systems; recent hands-on experience with backend LLM systems, including agent workflows (e.g., LangGraph or similar), LangChain tooling and chains, state management, and streaming (e.g., SSE). You think in terms of nodes, state schemas, routing, and human-in-the-loop.
Technical stack - Proficient in Python; comfortable with LangGraph, LangChain, FastAPI, PostgreSQL, and optionally Azure AI Search or similar. Experience with LLM providers (OpenAI/Azure, Google Vertex AI, etc.) and RAG (retrievers, chunking, reranking) expected.
Generative AI in production - Proven track record building production GenAI applications, including multi-step agents, RAG, tool-augmented LLMs, and ideally human-in-the-loop or review flows. You care about observability, validation, and safe rollout.
Bachelor's degree or higher in Computer Science or a related field, and strong communication and collaboration skills.

Requirements:
At least 3 years of experience as a leader and at least 8 years as an engineer.
Experience in managing highly-skilled developers, and the ability to lead, coach, guide, and influence them.
Proven experience in Python/Go/Java.
Experience in developing scalable, concurrent, low-latency, fault-tolerant systems.
Experience in SaaS/Cloud/Microservices architecture.
Strong track record of leading and managing the delivery of software development projects, meeting key milestones, and overcoming challenges.
Previous experience in both architecture and implementation-level software design of high-scale distributed systems.
Ability to manage, track, and identify risks, bottlenecks, and challenges ahead of time, and oversee technical coordination to resolve them.
Willingness to work with a driven team in a fast-paced, context-switching environment.

Requirements:
5+ years of software development experience

Strong backend development experience with Node.js (NestJS preferred)

Experience working with at least one modern frontend framework (Vue, Angular, or React)

Experience designing and building microservices architecture

Experience with relational databases and strong SQL skills

Proven experience leading technical designs and driving architectural decisions

Experience building production distributed systems at scale

Experience applying AI-assisted development tools and practices to enhance engineering productivity, code quality, and system design