Why should I tailor my CV to every job application?

Every role has different priorities, requirements, and keywords. Tailoring your CV highlights the experience most relevant to a specific position, helps it perform better in applicant tracking systems (ATS), and makes it easier for recruiters to see why you’re a strong match.

Can I optimize my CV myself without CVZilla?

Absolutely. However, doing it properly can take 20–40 minutes for each application. You need to identify the most relevant experience, select the right keywords and phrases, and present your real achievements in a way that aligns with the role-without exaggerating or inventing anything. Our optimizer helps you do this faster while keeping your CV accurate and authentic.

I found a job on another website. Can I optimize my CV for it?

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Can I see the company and open the original job posting?

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27d

Senior Solutions Engineer

Zipher·Israel·en

On-siteFull-timeSystems IntegrationData InfrastructureEnterprise Software

Serve as the technical lead for enterprise data and AI customers, guiding discovery, architecture, demonstrations, and proof-of-value engagements for an autonomous cloud infrastructure platform.

Responsibilities

Lead technical discovery, solution architecture, and evaluations for enterprise customers
Run proof-of-value engagements using customer telemetry and production workloads
Measure and communicate impact on cloud costs, service-level agreements, workload efficiency, and reliability
Advise teams operating mission-critical systems on Databricks, cloud infrastructure, and workload orchestration
Translate field insights into product roadmap, integrations, and enterprise capabilities

Requirements

At least 5 years of experience in solutions engineering, sales engineering, or technical consulting
Experience owning technical evaluations that influenced or decided business opportunities
Hands-on expertise with cloud infrastructure and data platforms, including AWS and Databricks, Spark, Kubernetes, or related technologies
Ability to communicate complex architectures to senior engineers and executives and connect them to business outcomes
Strong experience leading technical workshops, demonstrations, whiteboarding sessions, and proof-of-concept engagements
Structured, technically rigorous, customer-focused approach to solving complex problems

Nice to have

Experience with Databricks, Apache Spark, Snowflake, Airflow, dbt, Kubernetes, or cloud-native data platforms
Background in cloud cost optimization, FinOps, platform engineering, SRE, or data engineering
Experience deploying complex B2B SaaS for enterprise data, engineering, or AI teams
Experience in an elite technical or intelligence unit

Benefits

Top-of-market compensation
Meaningful equity
High ownership and direct exposure to company founders
Opportunity to influence product development and enterprise capabilities
Work with a small, highly technical team

Senior Solutions Engineer

Responsibilities

Requirements

Nice to have

Benefits

Relevance

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