דרושים » תוכנה » Presales Architect For a leading software company

Requirements:
Requirements:
10+ years in software engineering, including 4+ years in architecture roles.
Deep expertise in AWS and cloud-native design.
Strong engineering background with experience in modern programming languages (our stack includes .NET and Python).
Proven experience designing large-scale, multi-domain distributed systems.
Experience defining API boundaries and secure, reliable integration patterns.
Ability to design shared standards, reusable components, and platform-wide foundations.
Strong understanding of reliability, observability, quality gates, and production readiness.
Cost-aware architectural decision-making.
Excellent communication, collaboration, and leadership skills.

Advantages:
Experience building engineering platforms or developer tooling.
Experience with inner-source models.
Exposure to AI/LLM systems or automation workflows - or motivation to grow in this area.
Familiarity with ADLC, LLMOps, or AI governance.
Experience with automation tools (n8n, Make, Zapier, Airplane).
Background in data/analytics architecture.

Requirements:
3+ years of experience as a solution architect or presale. Previous experience as a consultant in the data protection field is an advantage
Previous experience in design, implementation, and support of leading data protection systems - Advantage
Previous experience with backups systems Dell, Veeam, Commvault, Rubrik, or similar - Advantage
Previous experience with customer-facing roles, Webinars - Advantage
Ability to write high-level solution documents and scope of work documents
Excellent interpersonal and presentation skills, positive attitude, and the ability to establish and maintain effective working relationships with various stakeholders

Requirements:
10+ years of backend development experience, with at least 3+ years in an architectural or senior technical leadership role
Strong hands-on experience with Python in production environments
Proven experience designing and building distributed systems and microservices architectures
Extensive experience with AWS (S3, SNS, Lambda, Batch, DynamoDB, RDS, etc.)
Experience with containerization and orchestration technologies (Docker, Kubernetes, Helm, Terraform, ArgoCD)
Deep understanding of scalability, high availability, resilience, and system design principles
Experience with monitoring and observability tools such as Datadog
Proven track record of delivering large-scale, high-quality SaaS products
Strong understanding of LLM application architecture: prompt/version management, tool/function calling, structured outputs, retrieval-augmented generation (RAG), and agent/workflow patterns.
Proven ability to design for AI reliability and safety: guardrails, policy enforcement, content filtering, hallucination mitigation, and failure-mode design (fallbacks, safe defaults).
Experience with data governance and privacy for AI: PII handling, retention policies, redaction, tenant isolation, and secure logging/tracing in SaaS environments.
Ability to control cost/performance tradeoffs: model selection strategies, caching, batching, streaming, rate limits/quotas, and capacity planning for AI workloads.
Experience integrating AI services into distributed systems on AWS (e.g., scalable inference/RAG pipelines, async jobs, event-driven orchestration).
Advantage

Deep understanding of networking concepts
Experience with event-driven architectures
Experience working with enterprise customers and complex technical environments
Experience with vector databases / embedding pipelines and retrieval systems (indexing, chunking, relevance tuning).
Experience with model gateways / multi-provider routing, prompt registries, and feature flagging for model & prompt rollouts.
Familiarity with security & compliance considerations for AI (SOC2-ready controls, audit trails for AI actions, customer data boundaries).
Experience enabling AI-assisted SDLC / SDD practices (AI in design docs, code review, incident analysis) with governance and standards.

Requirements:
Qualifications / Experience / Technical Skills
Background in information systems, computing, engineering or equivalent industry experience preferred.

Have 10-15 years of experience in similar role

Technical background or a good understanding of technology and industry trends, especially in the app integration space

Strong working knowledge with APIs - RESTful

Sound knowledge of Data Structure - JSON

Previous coding experience / development background

Sound knowledge of any RDBMS

Knowledge of SOAP/XML is a plus

Comprehensive knowledge and hands-on experience in architecting solutions comprised of on-premise, cloud and hybrid scenarios

Experience working with cloud business apps like Workday / NetSuite / Salesforce / Servicenow / Marketo is a plus

Soft Skills / Personal Characteristics
Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

Ability to effectively prioritize tasks and manage time, even under high-pressure situations

Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

Requirements:
Must-Haves
Proven experience as a Solution Architect (or similar technical role), preferably in the Data Loss Prevention (DLP) domain.
At least 2 years in a leadership role.
Proven track record leading and mentoring engineers/architects in fast-paced environments and complex technical initiatives
Excellent communication skills and the ability to lead through influence and trust
Comfort operating in high-impact, ambiguous, and evolving problem spaces with real ownership
Strong background creating technical solutions, systems integrations, and customer-facing technical delivery.
Proficiency in querying (e.g., SQL).
Strong cloud understanding and experience (AWS/Azure/GCP).
Proven project management and technical skills.
Proven experience with handling complex customer requirements.
You excel at problem-solving, capable of analyzing complex systems and processes to develop effective solutions.
You thrive in a fast-paced environment, effectively managing multiple priorities and adapting to evolving business needs.
Strong ownership mindset - you take initiative, and thrive in fast-moving environments.
Experience collaborating with R&D and Product teams to resolve customer friction and improve product capabilities.
Nice-to-Haves
Background as a software developer
Strong understanding of DLP solutions
Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience working on or supporting security-focused SaaS platforms.
Familiarity with automation, scripting, and internal tooling development.
Industry certifications (e.g., AWS Certified Solutions Architect, CISSP, CCSP) and experience with enterprise-scale deployments.

Requirements:
5+ years of experience in QA roles, including hands-on automation experience.
Experience building QA practices for cloud-native, distributed systems.
Hands-on experience with CI/CD pipelines.
Familiarity with AWS services (e.g., API Gateway, Lambda, DynamoDB, CloudWatch).
Knowledge of observability and monitoring tools (Datadog - Advantage).
Experience in building automated testing gates in CI/CD-based products.
Experience in testing and working with full-stack systems.
Strong communication and interpersonal skills to work with multiple integrations and external stakeholders.
Background or experience in software development or security testing - Advantage.
Knowledge of security principles (e.g., access control, secrets exposure, identity testing) - Advantage.

Requirements:
Experience: 2+ years in a customer-facing technical role. 5+ years of hands-on experience with DevOps technologies and Experience with cybersecurity technologies.
Cloud & Infrastructure Proficiency: Experienced in cloud and on-prem environments with strong knowledge of AWS services, networking, security best practices, and container orchestration using ECS or EKS.
Cybersecurity: Skilled in core cybersecurity technologies and practices, including SIEM, EDR, threat intelligence, detection techniques, and vulnerability management.
Networking Proficiency: Deep understanding of network protocols, security principles, firewalls, and network-based threat analysis.
Scripting & Automation: Proficient in Python, Bash, or Go with hands-on experience in infrastructure automation using tools like Ansible.
Lab Environment Management: Experienced in designing and maintaining lab environments to simulate real-world customer deployments and scenarios.
Virtualization & Infrastructure Tools: Skilled in using VMware (ESXi/vSphere), Terraform, and lightweight Kubernetes platforms for infrastructure provisioning and testing.
Additional Core Skills: Strong problem-solving, executive communication, cross-functional collaboration, and a customer-focused approach to delivering real-world impact.
Willing to travel
Advantages:
Hands-on experience in the cybersecurity landscape
Background in MLOps or any AI-related workflows.

Requirements:
Who You Are:
* 5+ years in an enterprise customer-facing technical role: Solutions Architect, Sales Engineer, DevOps Architect, or similar.
* Strong hands-on experience with CI/CD environments (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps, TeamCity, Bamboo).
* Solid understanding of build/test workflows and build systems (e.g., CMake, MSBuild, Ninja, Make, Gradle, Bazel).
* Strong OS and infrastructure knowledge: Windows and Linux environments.
* Experience working with cloud providers (AWS / Azure / GCP) and hybrid enterprise environments. Excellent communication skills: able to explain complex systems to both engineers and executives.
* Experience with large-scale development and devops environments.
* Familiarity with compiler toolchains and artifacts caching strategies.
* Kubernetes/containerized CI environments.
* Networking configuration experience.
* Performance profiling/analysis experience for builds and pipelines. Prior experience in DevTools, developer productivity, CI/CD acceleration, or observability.
Working days - Mon-Fri - USA time zone

Requirements:
Must-Haves
Proven experience as a Solution Architect (or similar technical role), preferably in the Data Loss Prevention (DLP) domain.
At least 2 years in a leadership role.
Proven track record leading and mentoring engineers/architects in fast-paced environments and complex technical initiatives
Excellent communication skills and the ability to lead through influence and trust
Comfort operating in high-impact, ambiguous, and evolving problem spaces with real ownership
Strong background creating technical solutions, systems integrations, and customer-facing technical delivery.
Proficiency in querying (e.g., SQL).
Strong cloud understanding and experience (AWS/Azure/GCP).
Proven project management and technical skills.
Proven experience with handling complex customer requirements.
You excel at problem-solving, capable of analyzing complex systems and processes to develop effective solutions.
You thrive in a fast-paced environment, effectively managing multiple priorities and adapting to evolving business needs.
Strong ownership mindset - you take initiative, and thrive in fast-moving environments.
Experience collaborating with R&D and Product teams to resolve customer friction and improve product capabilities.
Nice-to-Haves
Background as a software developer
Strong understanding of DLP solutions
Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience working on or supporting security-focused SaaS platforms.
Familiarity with automation, scripting, and internal tooling development.
Industry certifications (e.g., AWS Certified Solutions Architect, CISSP, CCSP) and experience with enterprise-scale deployments.

Requirements:
* Master/Bachelors Degree in Computer Science or data Science.
*  5+ years of hands-on experience as a as system architect /Principal Architect lead - Must.
* Proven track record in designing and deploying Big Data and AI solutions using frameworks.
* In-depth knowledge of metadata management, taxonomy, and Big Data object models.
* Experience with cloud-based Big Data and AI services (AWS, GCP, or Azure).
* Familiarity with Machine Learning frameworks and concepts.
*  Knowledge of C4I, communication systems and protocols - Advantage.
*  Knowledge of cybersecurity practices, agile development, and system operations - Advantage.
*  Hands-on experience with JAVA, C ++, or Python and ability to develop proof-of-concepts.
* Deep technical expertise and systems thinking across application, data, and infrastructure domains.