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Requirements:
Bachelors degree in Information Systems, Industrial Engineering, Computer Science, or a related field.
3-5 years of experience in automation/integration engineering or a similar role.
Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Boomi, or similar platforms; Workato is strongly preferred.
Experience designing and implementing integrations with business systems such as Salesforce, NetSuite, and other SaaS tools.
Proven ability to quickly understand complex business processes and translate them into scalable technical solutions.
Familiarity with Model Context Protocol (MCP) concepts and Workato capabilities related to exposing or triggering recipes through MCP-compatible interfaces.
Familiarity with using AI tools and methodologies to improve development and automation workflows, including creating or improving reusable skills and agentic workflows.
Hands-on coding experience with JavaScript or Python for custom logic, data transformation, and flexible integration design.
Strong familiarity with REST APIs, webhooks, integration patterns, and authentication/authorization flows.
SQL or advanced data transformation experience.
Strategic thinking and the ability to influence and motivate teams toward efficient designs, best practices, and responsible use of platform capabilities.
Good working knowledge of Git and version control workflows.
Understanding of enterprise process frameworks such as Lead-to-Cash, Procure-to-Pay, and HR workflows.
Excellent communication and collaboration skills.

Requirements:
Experienced Backend Engineer.

10+ years backend experience owning and delivering production systems.

Strong hands on coding skills and confidence working deep in the backend stack.

Languages and frameworks do not slow you down. We use Python.

Cloud Native
Strong experience building and operating cloud based systems, preferably on AWS.

Hands on experience with distributed systems, async processing, queues, workflows, and production monitoring.

Independent, Collaborative, and Comfortable with Ambiguity
You thrive in low-process environments and communicate clearly and take ownership of outcomes, not just implementation.

You can step into new domains, work through messy problems, and make fast progress while collaborating effectively with engineers, PMs, and stakeholders across the company.

A Great Teammate
You value clear communication, trust, humor, and helping build a strong and supportive team culture.

Requirements:
3-4 years of experience managing software engineering teams within a large-scale organization.
5+ years of hands-on software engineering experience with a strong systems-level foundation.
Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end.
Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure.
Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives.
Preferred Qualifications
Experience with programming languages such as Go and Python.
Familiarity with large-scale data platforms, including BigQuery, MongoDB, and MySQL.
Professional experience in cybersecurity, data security, or threat intelligence.
Experience operating and maintaining highly distributed services at massive scale.

Requirements:
You bring a Bachelors degree in Computer Science, Software Engineering, or equivalent practical experience.
You bring 3+ years of experience leading software engineering teams in a product-driven environment.
You bring 5+ years of hands-on backend or systems development experience, using languages such as Python, Go, Java, or C#.
You bring experience-or a strong interest-in identity, authentication, authorization, or secrets management, and youre excited to apply these principles to AI and agent frameworks.
Youre comfortable building cloud-native systems and working with modern infrastructure, CI/CD pipelines, and agile development practices.
Youre able to balance long-term architectural vision with fast-paced execution, especially in early-stage or high-growth environments.
You thrive in ambiguity, make high-impact technical decisions, and confidently guide others through complex tradeoffs.
You communicate clearly and effectively, aligning engineers, product managers, and stakeholders around technical direction.
Youre passionate about mentorship, knowledge sharing, and raising the technical bar across your team.
Youre self-driven, proactive, and organized, with a strong focus on delivering secure, scalable, and high-quality systems that make a real impact.

Requirements:
5+ years of experience in security or threat research, in which you conducted deep research with actionable insights and real-world impact.
Proven experience as part of an R&D/development team, along with strong proficiency in Python programming
Intimate knowledge and understanding of attack methods and techniques over endpoints and enterprise networks
Comfortable working with large-scale datasets to extract meaningful insights through advanced analysis
Strong sense of ownership and ability to independently drive projects from concept to execution
Critical thinker who thrives both independently and in collaborative team environments
Excellent verbal and written communication skills
A cybersecurity professional driven to solve the next generation of security challenges.
Preferred Qualifications
In-depth knowledge of the inner workings of operating systems (especially Windows)
Experience working with graph DB and algorithms
Experience in statistics, advanced data studies, or machine learning.

Requirements:
Experience: 3+ years as a Technical PO, within Insurtech or Fintech environments.
GenAI Proficiency: A deep understanding of generative AI technologies and Hands-on experience with LLMs, Agentic framework and building Agentic agents in B2B products.
Technical Depth: "Born-in-the-cloud" DNA. You must understand microservices, API-first design, and cloud-native infrastructure.
Agile Mastery: Proven track record in Scrum/Agile, managing complex backlogs in Jira.
Analytical Rigor: A data-driven mindset with the ability to measure AI success through clear KPIs and evaluation frameworks.
Experience with Agentic AI frameworks (e.g., Crew.ai, LangGraph, AutoGen).
A background in software development or architecture.
Experience building Low-Code/No-Code platforms or visual workflow designers.

Requirements:
7+ years of experience in product management, with at least 2 years working on SaaS products.
3+ years of experience working in the application security and/or cloud security vendor space.
Bachelor's or Master's degree in Computer Science, or another relevant engineering or technical field.
A proven track record of delivering customer acquisition growth and optimizing key product metrics throughout the product lifecycle.
Preferred Qualifications
A strong desire to take ownership of new technology products and a drive to design new, innovative, and disruptive solutions.
Inherent passion for cybersecurity and a problem-solving mindset that aligns with challenging the status quo.
Articulate and effective communication skills, both in writing and verbally, with the ability to convey complex ideas to diverse audiences.
Demonstrates a collaborative, 'can-do' approach and works well within a team to achieve shared objectives.

Requirements:
In-depth knowledge of some operating system internals is a must - Knowledge of Linux is an advantage
Development experience in C/C++/Rust is a must, 3 years at least
Experience in security research - 3 years at least
Experience in reverse engineering - both static and dynamic, is a must (x86/64 architectures), 3 years at least
Development knowledge in some scripting languages is a must - Experience with Python is an advantage
Ability to work independently and as a part of a team
Strong attention to detail
Ability to take initiative
Preferred Qualifications
Exploitation experience is an advantage (either application-level security or memory corruption)
Familiarity with Kubernetes, containers, and cloud workload security.
Experience leading endpoint security projects across organizational boundaries and teams
Academic experience
Published security research, conference presentations, or CVEs.

Requirements:
5+ years of experience in product management, with at least 2 years working on SaaS products.
3+ years of experience working in the application security and/or cloud security vendor space.
Bachelor's or Master's degree in Computer Science, or another relevant engineering or technical field.
A proven track record of delivering customer acquisition growth and optimizing key product metrics throughout the product lifecycle.
Preferred Qualifications
A strong desire to take ownership of new technology products and a drive to design new, innovative, and disruptive solutions.
Inherent passion for cybersecurity and a problem-solving mindset that aligns with challenging the status quo.
Articulate and effective communication skills, both in writing and verbally, with the ability to convey complex ideas to diverse audiences.
Demonstrates a collaborative, 'can-do' approach and works well within a team to achieve shared objectives.

Requirements:
4+ years of hands-on experience in reverse engineering, including both static and dynamic analysis.
2+ years of experience in vulnerability research, exploit development and bypassing OS-level mitigations.
Expert-level knowledge of Windows operating system internals and low-level OS research experience.
Experience in C/C++ development, including Win32 API.
Experience in a scripting language, with a preference for Python.
Ability to work independently and as a part of a team
Ability to work under pressure with strict deadlines, and to prioritize projects
Strong attention to detail.

Requirements:
3-4 years of experience in Marketing Communications / Marketing Operations
Defense industry experience - required.
Fluent English (written and spoken).
Proven experience managing exhibitions and conferences (local & international).
Strong vendor, budget, and operational management skills.
ERP experience (Priority - advantage).
Strong attention to detail, project management skills, and visual sensibility.
Ability to thrive in a dynamic, high-paced environment.

Requirements:
What to Have for this position:
Must have Skills:
BA in computers Science or other relevant degrees.
Team player and clear communicator.
Strong SQL knowledge.
Ability to adapt and succeed in a fast and dynamic environment.

Good to have Skills:
1+ years of experience as Data Analyst / Data Cleansing Developer.
1+ years of experience in SQL.
1+ years of experience in Python/Pandas.
Familiarity with life insurance and/or pension.
Familiarity with the Linux/ Oracle/ DB2.

Requirements:
Your Impact
Design and implement automated evaluation loops, static analysis, and rigorous quality gates to ensure the ADLC process doesn't just write code, but consistently produces great, production-ready code.
Help the team tackle complex, hard problems to elevate our autonomous development product from "good" to "excellent".
Lead complex initiatives in Context Engineering and Prompt Engineering.
Manage and orchestrate the complex ecosystem of autonomous agents utilized for internal development.
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers his own work but improves that of those around them.
Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools.
View prompt engineering as a core engineering discipline-where rewriting agent behavior is a versioned, reviewed, and tested code change.
Act with a debugging temperament; conduct deep-dive analyses of raw agent transcripts to diagnose non-deterministic failures and ascertain root causes instead of merely working around them.
Your Experience
At least 8+ years of experience in software development, architecture, or owning operational systems in production.
Computer Science B.Sc. or equivalent education or equivalent military experience required.
A product builder's mindset: you can extract requirements, talk to stakeholders, and tell the difference between what's important and what's noise.
Experience in building production grade agents. Deep understanding of the agent loop, its states and transitions. You know how to build it correctly, not just use it.
Positive can-do mindset, able to work independently and within a team.
Hands-on experience with LLM APIs, including a practical, highly-skeptical understanding of token costs, caching, context windows, and model failure points.
You know how to build the right context for a task, including memory systems, session storage, and vector databases.
You understand where LLMs fail and how to design around those failure points.
You've used traces or observability tooling to diagnose and improve agent behavior.
A systems-level background that touches reliability, observability, or platform engineering, with a strong preference for writing narrow, deterministic code over building hypothetical abstractions.
Experience in the cybersecurity space - an advantage.