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Requirements:
4+ years of backend programming experience
Familiarity with database technologies
Solid architectural understanding of web applications and APIs
Experience with large-scale production environments
Experience with concurrency - a big advantage
Exposure to modern DevOps tools like Docker, Kubernetes, Helm, Shell Scripting, CI/CD - an advantage

Requirements:
5+ years of programming experience with a strong focus on TypeScript, Vue (or other modern frameworks like React or Angular), and Node.js
Deep architectural understanding of modern frontend applications and best practices.
Extensive experience with development infrastructure tools and processes in large-scale environments
Experience with production-level, mission-critical systems
Strong troubleshooting skills, comfortable with CLI, log analysis tools, and debugging techniques
Knowledge and hands-on experience working in a modern CI environment, including version control (e.g., Git), build tools, and CI servers

Requirements:
Bachelors degree in CS, Software Engineering, Cybersecurity, or a related field (or equivalent experience)
8 years of hands-on experience as a Software Engineer, DevOps Engineer, Security Engineer, Researcher, Architect, or similar technical role
Proven experience presenting technical topics to developers or technical audiences
Strong writing and storytelling ability around complex concepts
Deep understanding of the DevOps / DevSecOps ecosystem, software supply chain, CI/CD workflows, and modern developer tooling
Ability to communicate clearly with developers, leaders, customers, and community members
Familiarity with key developer and professional social platforms (e.g., LinkedIn, Reddit, Twitter/X, Slack, Discord) for community engagement and content amplification
Comfortable setting goals, executing independently, and measuring impact
Genuine enthusiasm for engaging communities, learning in public, and amplifying real developer value
A willingness to travel to conferences, customer events, and community gatherings

Requirements:
8+ years experience in Quality working on different projects/companies.
Broad experience with testing complex SaaS systems, inc. analysis and research
Practical hands-on knowledge of cloud technologies (AWS, GCP, Azure), Kubernetes, Docker.
Proficiency in leveraging Generative AI tools (LLMs) to accelerate test case creation, edge case discovery, bug reporting and more.
Hands-on experience with AI-powered automation frameworks.
Understanding of industry best practices and proven ability to define automation practices & guidelines, design the integration and end-to-end test procedures
Experience in writing scripts and assistance tools for data analysis - advantage
Ability to take ownership using strong problem-solving and decision-making 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:
At least 6 years of experience in quality testing complex systems - SaaS and on-premises
Practical hands-on knowledge of cloud technologies (AWS, GCP, Azure), Kubernetes, Docker
Hands-on experience with automation frameworks such as Playwright with Python
Experience with leveraging Generative AI tools to accelerate quality-related tasks: test case creation, bug reporting, scripting/tooling, and more - an advantage
Ability to guide development teams, provide clear and constructive quality feedback, and challenge design or implementation decisions
Ability to take ownership using strong problem-solving and decision-making skills

Requirements:
7+ years of experience with Continuous Integration tools: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM
Ability to build software delivery pipelines with Docker, npm, Java, Pypi, etc., with various DevOps tools such as Git, Binary repositories management, Binary scanning, and Continuous integration
Good understanding of infrastructure & operations - storage, network, computer, security, cloud (public, on-prem)
Experience with Continuous Deployment and Delivery tools: Chef, Puppet, Ansible, Kubernetes
Hands-on experience in Linux - Mandatory
Hands-on experience with cloud infrastructure - AWS / Azure / GCP - Mandatory
Experience with customer-facing roles with great interpersonal and customer service-oriented skills
Experience with server-side software on-premise and in the cloud
Experience with Software Architecture design and product development is a plus
Uncompromising will to learn
Open Source state-of-mind
Active security clearance is an advantage; chosen candidates will need to complete a security assessment

Requirements:
5+ years of relevant DevOps experience in large-scale production environments
5+ years of hands-on experience in network architecture and technical problem-solving in the area of Nginx and Ingress controllers and proxies
3+ years of advanced cloud infrastructure management (VPC, Load balancers) or container orchestration (Kubernetes)
3+ years in Python or any other advanced programming language
Strong ability to lead, design, and execute cross-organization projects
Hands-on experience administering public clouds (AWS, GCP, or Azure)
Experience with building CI/CD pipelines for applications and microservices

Requirements:
Deep understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning strategies.
Hands-on experience developing Agentic workflows, on top of Agentic framework tools like Google ADK, AgentCore, n8n, Workato, to build autonomous agentic workflows.
Full-stack Web development experience, proven mastery of coding agents tools and vice coding best practices.
proficiency in designing and implementing secure integration patterns. This includes deep experience with RESTful APIs and JSON data modeling, modern authentication via OAuth 2.0/OIDC, and emerging standards like Model Context Protocol (MCP).
Business applications development/implementation experience, mainly Salesforce core, Salesforce data cloud, and Agentforce - advantage.
Proven knowledge of customer support, sales, and marketing processes and business technology.
Proven project management skills and demonstrated product management mindset.
Great communication skills and ability to provide training and enablement sessions.
Creative and out-of-the-box thinking, focus on business impact and value to the organization, andthe ability to run and react fast.

Requirements:
3+ years of experience in technical sales, presales, or sales engineering roles (experience with MEDDPICC is a plus).
Fluency in English is required, with the ability to conduct business conversations and technical discussions.
Proven expertise in DevOps tools and methodologies, including Docker, Kubernetes, CI servers, Git, Artifactory, and build tools.
Strong experience building software pipelines using diverse DevOps tools.
Hands-on experience with Linux and cloud platforms (AWS, Azure, or GCP) - mandatory.
Familiarity with software architecture design, scalable product development, and on-premise/cloud hybrid environments.
Experience delivering POVs and technical demonstrations to diverse stakeholders, from technical teams to business leaders.
A customer-centric mindset with a "can-do" attitude and a passion for learning and solving complex problems.
Exceptional communication and presentation skills, capable of translating technical concepts into business value for varied audiences.

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:
Strong stakeholder management skills, with the confidence and communication ability to influence senior leadership and cross-functional teams toward shared outcomes
Proven execution skills driving product, R&D, and business GTM teams to GA, maintaining end-to-end visibility, issuing meeting notes, and ensuring regular, clear communication with stakeholders
5+ years of experience with proven Program Management and Agile methodologies at scale - a must
Technical background, with a good understanding of the Software Development Life Cycle - a must
Experience in leading large-scale planning processes and shaping R&DProductNPI processes - a must
Knowledge of OKR and stream-aligned team methodologies
Experience in collecting, analyzing, and presenting data-driven insights to support informed decision-making at the leadership level
Proficient English communication skills, both written and verbal
Proficient with Jira - making the most of the Atlassian ecosystem, including experience with advanced RoadmapsStructure

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:
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:
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