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Requirements:
3-5 years of experience in software development from leading companies.
Proven ability to lead tasks and excel in a multi-tasked, dynamic environment.
Deep proficiency in C, C++, and Python.
Experience with JavaScript and React.
Strong Linux system-level and development experience.
Practical Networking and protocols knowledge.
Hands-on experience with Redis and Celery.
Expertise in Multi-threading and asyncio.

Requirements:
* At least 3 years of experience with data development over platforms serving production and rt environments - must
* Expertise in Advanced SQL coding include function, procedures - a must
* At least 2 years of experience in Bigquery/Snowflake or equivalent - a must
* Understanding of data warehousing and data -modeling techniques
* Familiar with DBT
* Experience working with API - an advantage
* Working experience with AI/ data science teams - an advantage
* Familiar working with Tableau server - an advantage At our company, were not about checklists. If you dont meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you.

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.).

Requirements:
Someone with a solid technical grounding and hands-on experience of IT Operations
Confident in your hands on experience AWS, Azure or GCP
Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
Able to sit up to 4 hours, traveling to and from client sites
Able to travel via auto, train or air up to 30% of the time
Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
Experienced using other cloud monitoring tools

Requirements:
Knowledgeable and experienced with DevOps monitoring or architecture tools.
Comfortable and confident in delivering technical presentations/demos to either external customers or internal teams
Able to think creatively about a wide variety of challenges. You're going to find new things every day
Previously experienced in systems administrations: Windows or Linux
Able to sit up to 4 hours, traveling to and from client sites
Able to travel via auto, train or air up to 25% of the time

Requirements:
Requirements Mandatory:
At least 5 years experience as pre and/or postsale role, or in a similar customer-facing technical role.
Team player
Deep knowledge of Networking and IT
Fluent English - speaking, reading, and writing (other EU languages is an advantage)
Proven troubleshooting expertise for both software and hardware issues.
Good knowledge of Windows and Linux
Availability for traveling - approx. 30% of the time
Hands-on experience
Customer facing experience
Advantages:
Project management capabilities
Familiarity with OT Networks and SCADA systems
Database knowledge: MSSQL, MySQL, Oracle, Postgres, Maria DB, etc.
Experience in the design and implementation of cloud computing platforms such as AWS, GCP, or Azure
Scripting capabilities
Experience responding to tenders.

Requirements:
You have deep experience in backend or systems engineering, with strong proficiency in Go and/or C/C++
You are comfortable operating close to the Linux kernel, with experience in eBPF, networking, observability, or similarly low-level systems
You consistently think at a system and organizational scale, making thoughtful tradeoffs between performance, correctness, velocity, and long-term sustainability
You have built, evolved, or operated large-scale production systems in complex and heterogeneous environments
You demonstrate technical leadership without relying on authority-you influence architecture, unblock teams, and raise the technical bar through collaboration
You have a strong bias for performance, efficiency, and reliability, especially in resource-constrained or performance-sensitive contexts
You thrive in ambiguity and take ownership of ill-defined, high-impact problems
You are excited to leverage AI-assisted development tools to improve productivity, code quality, and system design - or are eager to learn
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
Bonus: youre motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Requirements:
Youll do it using:
3+ years of experience in automation development, with a focus on Server side (Python)
Bachelor's degree in Computer Science, Engineering, or related discipline
Experience with AWS, docker, Jenkins, Git
Knowledge of Linux environments
Proficiency in English
Advantage:
Experience with performance/load tests
Background in mathematics/statistics
Youll excel by:
Demonstrating strong analytical and problem-solving skills
Being an independent team player, fast learner, and get-things-done person
Having excellent communication skills
Having a can-do approach
Being resourceful and creative.

Requirements:
Youll Do It Using:
7+ years of backend engineering experience, including 2+ years in a leadership role, with a hands-on background that informs architectural decisions, complex design reviews, and engineering mentorship that drives high-quality delivery.
Deep expertise in microservices architecture, distributed systems, and cloud-native design on platforms such as AWS, GCP, or Azure using Kubernetes and Helm- with a proven ability to build scalable, resilient, and maintainable systems at scale.
Strong command of observability practices, including hands-on experience with tools such as Prometheus, Grafana, or Splunk to implement monitoring, distributed tracing, alerting, and full operational visibility.
Solid experience with data and messaging technologies, including SQL/NoSQL databases, caching layers and message brokers such as PostgreSQL, Redis, Kafka, RabbitMQ, and Elasticsearch.
Proficiency in Python for building scalable backend services, with a focus on clean, production-grade code and seamless integration of AI components.
Hands-on experience with Generative AI, including LLMs, RAG pipelines, embeddings, and agent frameworks, paired with familiarity across AI tooling ecosystems such as AWS Bedrock, LangChain, LangGraph, OpenAI APIs, and vector databases.
Fluency in agile methodologies and delivery tooling such as Jira to manage team workflows and consistently ship high-quality software in fast-moving environments.
Advantages:
Familiarity with Machine Learning or Data Science concepts, enabling better collaboration with AI-focused teams.
Prior experience in AI/ML infrastructure, MLOps, or agent orchestration.
Exposure to data engineering, security, or AI ethics considerations in product development
Youll Excel By
Demonstrating exceptional leadership and communication skills, inspiring and organizing teams to achieve ambitious goals.
Thinking strategically and acting decisively, balancing technical depth with business priorities to deliver impactful solutions.
Fostering collaboration and trust, building strong relationships across product, engineering, and data science teams.

Requirements:
Youre a backend engineer with at least 5 years of professional experience who values code simplicity and performance. Youve shipped software that uses LLMs to production
You are passionate about Generative AI and its ability to help software engineers be more productive
You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
You want to work in a fast, high-growth startup environment that respects its engineers and customers
You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Requirements:
Youll do it using:
3+ years of Proven experience in manual QA testing for complex systems
Deep understanding of infrastructure testing methodologies
Familiarity with testing integrations with third-party services and APIs by using Postman, Swagger, or similar tools
Strong understanding of QA processes, test case design, and defect tracking tools
English proficiency (written and verbal)
Background in test automation using Python
Background with relational databases and SQL
Experience working with Jira
Proven ability to break down requirements into scenarios
Strong understanding of software testing methodologies (functional, regression, API, performance, and scalability)
Background with cloude bases applications - an advantage
Knowledge of performance testing and monitoring tools - an advantage
Experience in the insurance or banking industries - an advantage
Ability to interpret logs and identify essential information - an advantage
Youll Excel By:
Strong analytical skills and attention to detail
Owning the quality of core components.
Excellent collaboration and communication skills, working effectively with cross-functionalteams.
Identifying gaps early and proactively improving testing strategies.
Thriving in a fast-paced environment, managing multiple priorities effectively.

Requirements:
B.Sc. in Chemical Engineering / Materials Engineering / Chemistry
Minimum 2 years of experience in a process manufacturing environment (chemical industry - advantage)
Strong analytical and problem-solving skills
Process-oriented mindset with high attention to detail
Ability to work under pressure and manage multiple priorities
Strong interpersonal skills and ability to work cross-functionally
Proficiency in MS Office applications, including advanced Excel skills
Good English (written and spoken)
Experience working with ERP systems - advantage.

Requirements:
Youll do it using:
3+ years of Proven experience in manual QA testing for complex systems
Deep understanding of infrastructure testing methodologies
Familiarity with testing integrations with third-party services and APIs by using Postman, Swagger, or similar tools
Strong understanding of QA processes, test case design, and defect tracking tools
English proficiency (written and verbal)
Background in test automation using Python
Background with relational databases and SQL
Background with cloude bases applications - an advantage
Knowledge of performance testing and monitoring tools - an advantage
Experience in the insurance or banking industries - an advantage
Youll Excel By:
Strong analytical skills and attention to detail
Owning the quality of core components.
Excellent collaboration and communication skills, working effectively with cross-functional teams.
Identifying gaps early and proactively improving testing strategies.
Thriving in a fast-paced environment, managing multiple priorities effectively.