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Requirements:
CPA with at least 2 years of Big4 audit experience, preferably with global public high-tech companies.
Knowledge of IFRS.
Highest standards of accuracy and precision, with strong attention to detail and organizational skills.
Fluency in English (spoken and written).
Ability to thrive in a fast-paced, multi-currency, global environment.

Requirements:
5+ years total hands-on experience in cyber security / security operations, including:
Hands-on experience with monitoring platforms (SIEM) and detection-rule writing
Operating cyber defense systems (SecOps)
Practical experience with cloud infrastructures (AWS / Azure / GCP)
Solid knowledge of operating systems, network protocols, GPO, Active Directory, and authentication mechanisms
Deep familiarity with security solutions: DLP, WAF, IDM, VA
Proven experience implementing and integrating security systems in production environments
Experience writing technical documentation (HLD/LLD)
Project-management skills: driving implementations with multiple stakeholders
Experience in a mid-size to large organization
Team player, task-oriented, self-driven promoter of initiatives
Requirements:
Experience in a financial organization
B.Sc. in Information Systems or related field
Relevant professional certifications (e.g., CISSP, CCSP, Security+, vendor SIEM certs)
NOC background / familiarity with NOC tooling.

Requirements:
At least 5 years of hands-on experience in hardware development and board design, either as a Hardware Design Engineer or Firmware Engineer.
At least 4 years of experience managing multidisciplinary engineering teams of five or more engineers.
Proven experience leading cross-functional engineering teams.
Demonstrated ability to manage multiple projects simultaneously.
Experience working directly with customers.
Experience preparing technical project cost estimates and pricing - an advantage.
Experience writing comprehensive technical proposals for competitive tenders (RFPs) - an advantage.
Background in microwave communications, telemetry systems, and RF engineering at microwave frequencies - an advantage.

Requirements:
8+ years of product management experience, including at least 3 years in a leadership role guiding product teams or managing a product portfolio.
Proven success leading complex, multi-disciplinary software or AI projects from concept to market.
Demonstrated experience in presales processes - working closely with sales and delivery teams to scope solutions, estimate effort, and present product value to clients.
Deep understanding of product strategy, discovery, and Agile delivery processes.
Strong technical background; ability to communicate effectively with engineering and data teams.
Excellent business acumen and communication skills (written and verbal, English fluency required).
Experience in web, mobile, and backend systems.
Demonstrated ability to work cross-functionally with internal and external stakeholders, including executive leadership and enterprise clients.
Experience in a consulting or professional services company - strong advantage.
Entrepreneurial experience (founder, co-founder, or early-stage startup leadership) - strong advantage.
Bachelors degree in Computer Science, Engineering, or related field (MBA or advanced degree - advantage).

Requirements:
4+ years of experience in software development, data, analytics, AI, or related technology domains.
Hands-on experience with Python, APIs, data platforms, cloud technologies, and AI tooling.
Strong understanding of AI, GenAI, LLMs, automation, and modern technology architectures - including how LLM solutions are actually built and evaluated (RAG, prompting, agents, guardrails).
Practical grasp of AI delivery methodology: standards, governance, and the operational practices that keep AI solutions reliable in production.
Ability to translate business needs into technical requirements and actionable implementation plans.
Experience working with cross-functional development and technology teams.
Strong facilitation, training, and stakeholder management skills.
Ability to produce clear solution/reference architecture and technical documentation.
Excellent communication and presentation abilities.
Self-driven, proactive, and engaged with AI and emerging technologies.

Requirements:
What You Need for the Role
6+ years building and shipping production backend systems, including experience leading technical initiatives, processes and teams.
5+ years experience managing engineers, hiring, running 1:1s, giving feedback, and developing people, not just tech-leading.
Strong server-side engineering in at least two of: Node.js / JavaScript, Python, Java. Able to own a feature from data model to API.
Solid PostgreSQL - schema design, query writing and optimization, working with relational data at scale.
Proven experience designing and operating APIs (HTTP/REST/GraphQL) and a working command of auth and access control: OAuth 2.0, API keys, scopes, and RBAC.
Hands-on experience building LLM-powered features in production - direct work with LLM provider APIs (Anthropic, OpenAI, Gemini, Ollama or similar), function/tool calling, token optimization, structured outputs, and prompt engineering.
Experience with agentic systems: designing tool interfaces an LLM can use reliably, multi-step agent loops, and handling failure and recovery.
Working knowledge of MCP (Model Context Protocol) - or the depth in tool-calling and AI integration to ramp on it quickly - and a clear sense of what makes a tool definition easy for a model to use well.
Experience evaluating LLM systems: building eval suites, measuring tool-call and decision accuracy, and instrumenting AI behavior with tracing and observability.
A security mindset -treat prompt injection, untrusted inputs, least-privilege design, and data exposure as first-order concerns, not afterthoughts.
Comfortable in a small, fast-moving startup - high ownership, low hand-holding, and a willingness to build processes and infrastructure from scratch when needed.


Advantages
Retrieval and context engineering - RAG, embeddings, vector search, and semantic retrieval used to ground agents in API docs, schemas, and internal knowledge.
Experience running an MCP server, or a comparable AI-tooling integration, in production.
Cloud infrastructure (AWS / GCP / Azure), containers, and IaC.
Cybersecurity domain knowledge.
Open-source contributions to AI / agent tooling.

Requirements:
B.Sc. in Electrical Engineering or a related field.
At least 5 years of hands-on FPGA development experience.
Strong RTL development skills using VHDL, Verilog, or SystemVerilog.
Experience with AMD (Xilinx) and/or Intel (Altera) FPGA toolchains.
Experience with high-speed interfaces (DDR, PCIe, Ethernet, SERDES, etc.).
Experience developing SoC-based systems.
Experience with FPGA bring-up and debugging.
Ability to work independently and in multidisciplinary teams.

Requirements:
B.Sc. in Electrical Engineering or a related field.
5+ years with proven experience in board-level hardware design.
Experience with schematic design and PCB development.
Experience designing digital and analog circuits, including high-speed interfaces (DDR, PCIe, Ethernet, LVDS, etc.).
Experience working with processors and FPGA-based systems.
Familiarity with RF circuits and power supply design - an advantage.
Strong analytical skills, a hands-on approach, and the ability to work in a multidisciplinary environment.

Requirements:
At least 5 years of experience working with large organizations, including consulting and leading complex technology initiatives - required.
At least 1 year of experience managing Data and AI projects - required.
At least 1 year of experience in developing AI-based applications - required.
Proven experience in system analysis, requirements definition, and specification of interfaces and data sources.
Knowledge and experience in cloud architecture and data architecture.
Experience working with enterprise information systems (e.g., SAP).
Experience with AI/ML model development and implementation.
Familiarity with RPA technologies and automation solutions.
Experience in data visualization and presenting insights to business stakeholders.
Strong project management, analytical, and communication skills.
Ability to manage multiple stakeholders and work effectively in complex environments.

Requirements:
Required Skills & Qualifications:
Solid coding background of at least 5+ years (preferably Fullstack or Backend)
Proven experience as a power user of Claude Code and/or Cursor/ GitHub Copilot /Kiro
Proven experience driving AI Dev tool adoption in engineering teams (assisting in rollouts, measuring impact, changing workflows).
Proficiency working over AWS infrastructure
Training experience - building and delivering technical workshops
Opinionated practitioner who can compare tools and best practices and explain trade-offs
Ability to write, speak and lecture fluently in English.
Entrepreneurial mindset: you can lead projects, create content, and help drive impact
Advantages:
Experience with SDLC optimization and leading R&D AI Transformation in an org
Experience with Kiro and/or Github Copilot
Consulting Background
Track record of leading developer communities or internal champion programs.
Managed a team of developers.