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Optimisation Engineer Jobs in New York (NOW HIRING)

Search Engine Optimization (SEO) Developer Location: NYC, NY (Hybrid) Role Overview - Search Engine Optimization (SEO) Developer The SEO Developer is responsible for implementing and optimizing ...

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Optimisation Engineer information

What is an optimisation engineer?

An Optimisation Engineer is a professional who specializes in improving systems, processes, or products to achieve better efficiency, performance, and cost-effectiveness. They analyze data, identify bottlenecks, and develop strategies or implement technologies that help organizations operate more optimally. Optimisation Engineers can work in various industries, including manufacturing, software, logistics, and energy. Their work often involves mathematical modeling, simulation, and the use of specialized software tools. Ultimately, their goal is to maximize output while minimizing resource use and waste.

What are the key skills and qualifications needed to thrive as an optimisation engineer?

To thrive as an Optimisation Engineer, you need strong analytical skills, a background in mathematics or engineering, and proficiency in optimization techniques, often supported by a relevant degree. Familiarity with technical tools such as MATLAB, Python, GAMS, or specialized optimization software, as well as experience with data analysis platforms, is typically required. Problem-solving abilities, strong communication, and a collaborative mindset are essential soft skills for excelling in this role. These skills are crucial for identifying, analyzing, and implementing solutions that improve processes, reduce costs, and drive operational efficiency.

How does an optimisation engineer typically collaborate with cross-functional teams to implement process improvements?

Optimisation Engineers frequently work alongside production, quality assurance, and maintenance teams to identify inefficiencies and implement solutions. This collaboration often involves gathering input from operators, analyzing process data with data scientists, and working with IT to deploy automation tools. Regular meetings and clear communication are crucial to ensure that proposed changes are both practical and aligned with operational goals. By fostering strong relationships across departments, Optimisation Engineers help ensure the successful adoption and sustainability of process improvements.

What is the difference between Optimisation Engineer vs Data Analyst?

AspectOptimisation EngineerData Analyst
CredentialsBachelor's in Engineering, Mathematics, or related fields; certifications in data analysis or optimization toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis or visualization tools
Work EnvironmentEngineering teams, manufacturing, logistics, or software developmentBusiness, marketing, finance, or healthcare sectors
Industry UsageManufacturing, supply chain, software optimizationMarket research, business intelligence, reporting

Optimisation Engineers focus on improving processes, systems, or products through technical analysis and engineering methods. Data Analysts interpret data to support decision-making, often using statistical tools. While both roles analyze data, Optimisation Engineers are more involved in technical process improvements, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Optimisation Engineer jobs in New York look for?

The top searched job categories for Optimisation Engineer jobs in New York are:

Infographic showing various Optimisation Engineer job openings in New York as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution.

Other

Posted 4 days ago


Job description

Hi,
Hope you are doing well.
Position: Search Engine Optimization (SEO) Developer
Location: NYC, NY (Hybrid)

Job Description

Role Overview - Search Engine Optimization (SEO) Developer

The SEO Developer is responsible for implementing and optimizing technical SEO initiatives across enterprise websites to improve organic visibility, search engine crawlability, indexing, site performance, and AI-search readiness. This role works closely with SEO strategists, content teams, developers, UX teams, and analytics stakeholders to ensure SEO best practices are embedded across digital experiences and marketing platforms.

Key Responsibilities

Technical SEO Implementation

  • Implement technical SEO recommendations across websites and digital properties.

  • Configure and maintain metadata, canonical tags, hreflang tags, redirects, XML sitemaps, robots.txt, and indexing directives.

  • Support site migrations, URL restructuring, and SEO compliance initiatives.

  • Resolve crawlability, indexability, and site architecture issues

Structured Data & AI Search Readiness

  • Implement and maintain structured data/schema markup across content and product pages.

  • Support entity optimization initiatives, semantic markup, and connected entity graph implementations.

  • Enable AI-search readiness through semantic HTML, accessibility improvements, and LLM-friendly content structures.

  • Partner with GEO teams to support AI visibility and citation optimization initiatives.

Website Performance Optimization

  • Assist in improving Core Web Vitals and overall website performance.

  • Work with development teams to address page speed, rendering, and mobile usability issues.

  • Support accessibility compliance and technical quality checks.

  • Participate in technical audits and remediation activities.

Monitoring & Reporting Support

  • Monitor SEO health using industry-standard tools.

  • Track crawl errors, indexing issues, broken links, and site health metrics.

  • Support SEO reporting and dashboarding initiatives.

  • Assist in validating SEO implementations and measuring impact.

Skills

Mandatory Skills : Adobe Analytics Campaign