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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

Requirements:
5+ years in test automation engineering.
Demonstrated experience leading Playwright automation initiatives within mid-to-large enterprise environments.
Experience designing full-stack automation (UI + API).
Experience building and scaling automation frameworks used by multiple teams.
Deep understanding of test architecture, CI/CD systems, and distributed testing strategies.
Demonstrated leadership in driving engineering standards and cross-team adoption.
Excellent documentation and communication skills.
What Would Make You Stand Out?
Proven experience leading Selenium-to-Playwright migration.
Experience with CI/CD technologies (Jenkins etc.).

Requirements:
BSc in Computer Science/Software Engineering or equivalent
Experience in one of the following:
3+ years in cloud development
3+ years in JAVA
Hands‑on experience building RESTful APIs in Java.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Excellent written and spoken English.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale.
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot.
Technical blog posts, talks, or presentations youve created.
Contributions to open-source projects.
Experience solving complex or large-scale engineering challenges.
(Big Advantage) Experience developing with AI-powered coding tools, such as:
GitHub Copilot
Claude code
Using AI tools to accelerate development, improve code quality, and optimize system design is a significant advantage.

Requirements:
B.Sc. in Engineering (Civil, Mechanical, or Water & Environmental) - Must
3+ years of experience as a Project Engineer, working on complex engineering projects within the process industry - Must
Prior experience in mechanical or process design - Must
Proven experience in matrix management and team leadership - Must
High-level proficiency in English - Must
Background and experience in water systems design - Significant Advantage.

Requirements:
B.Sc. in Mechanical / Chemical / Environmental / Materials / Water Engineering
2+ years experience as a Process Engineer in the water industry or in a relevant process-based industry (e.g., chemical industry)
Proven experience working with industrial equipment such as pumps, valves, piping materials, and related systems
Strong background in P&IDs
Willingness to travel abroad
Excellent verbal and written communication skills in English
Management experience - an advantage.

Requirements:
Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine based agent frameworks).
Deep LLM Expertise (What we mean by "Deep"):
Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).
Nice to Have
Experience with Elasticsearch (DSL queries, analyzers).
Knowledge of vector databases and embedding models.
Background in FinTech or familiarity with financial data structures.

Requirements:
Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).
Nice to Have
Experience building RAG (Retrieval-Augmented Generation) pipelines.
Familiarity with LangChain or similar LLM frameworks.
Experience with Evaluation tools (like LangSmith) to test search quality automatically.
Background in Finance (understanding tickers, earnings calls, etc.).