Description review

Backend Engineer

Stravito · Netherlands, Sweden · back to the listing

HR standards

66/100

needs work

Title ↔ description

85/100

strong

Reads as

Backend Engineer

99% confident

What this role officially is

software developer — ESCO, the EU occupation classification

Software developers implement or program all kinds of software systems based on specifications and designs by using programming languages, tools, and platforms.

Also known as: application developer, application programmer, solutions developer, programmer, software specialist, application software developer

How others title the same work

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What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

While generic AI struggles with hallucinations and shallow analysis, Fortune 500 brands need strategic intelligence they can trust with billion-dollar decisions. We're building the specialized AI that delivers it.

We are Stravito and this is the problem we solve.

Stravito transforms how Consumer Insights professionals and Brand Managers work by building AI that automates their core workflows while eliminating hallucinations. We help world-leading organizations across industries accelerate strategic decision-making by turning millions of market research documents into intelligent systems that generate reports, discover insights proactively, and synthesize knowledge across vast content libraries.

The Mission

Build the data backbone that powers billion-dollar decisions at world-leading companies. We're looking for a Backend Engineer to architect and evolve the content systems that handle millions of market research documents and enable strategic decisions at the world's largest brands.

Your mission is to grow our robust, scalable content foundation that enables seamless access to business-critical content through APIs and reliable processing capabilities that other teams build upon.

Our platform processes a massive amount of market research documents and data points, powering intelligent workflows for the core work our users do at global brands.

What Makes This Role Unique

• Foundation for AI innovation: Build the content infrastructure that enables our AI brain to process the data that matters.

• Enterprise-scale challenges: Handle content ingestion from global industry elading companies with diverse requirements

• Ownership: Your decisions impact how thousands of professionals access business-critical insights

• Cross-team enablement: Create and evolve the APIs and data models that empower our customer-facing product teams to innovate.

What You’ll Do

Transform how Fortune 500 companies access their research intelligence:

• Connect diverse ecosystems: Build and maintain robust integrations that seamlessly ingest content from diverse enterprise systems

• Design for scale: Create content processing systems that handle millions of documents while maintaining low API response times

• Enable AI innovation: Build the data models that power our AI brain's ability to synthesize insights across massive content libraries

• Set the technical foundation: Establish patterns, standards, and interfaces that enable product teams to rapidly build customer-facing features

• Optimize for performance: Ensure reliable, performant content systems across all ingestion channels

What We Need

• Back-end expertise: Strong experience designing and building distributed systems and handling large-scale content processing. We care more about your engineering fundamentals than any specific language or framework

• Cloud-native mindset: Hands-on experience running services in modern cloud environments (AWS, GCP, Azure, or similar), with containerization and infrastructure as code. Familiarity with modern CI/CD practices is important

• Integration mastery: Proven track record of building reliable APIs and integration patterns for diverse data sources and formats

• System thinking: Ability to design scalable, maintainable data models that empower other teams to build on top of them

• Collaboration & curiosity: Strong communication skills and a collaborative approach, with a curious, innovative mindset that thrives in cross-functional teams with product and design

• Nice to have: Experience with search technologies such as Elasticsearch, exposure to front-end development (React/TypeScript or similar), deeper familiarity with AWS services

The salary range for this role depends on location and will proactively be shared with you in the first interview.

What’s in it for you?

Join a remote-first, globally distributed team of 100+ professionals from 30+ nationalities, united by our core values: simplicity first, an 'own it, do it' mentality, embracing different perspectives, and enjoying the journey together. We bring everyone together for company events throughout the year to strengthen our global connections.

You'll grow alongside seasoned professionals with deep expertise across AI, market research, and enterprise systems. We offer exceptional career development opportunities in our fast-evolving market, competitive compensation, and a collaborative culture where everyone actively supports each other's success.

Most importantly, you'll have the satisfaction of simplifying the professional lives of thousands of Brand Managers and Consumer Insights professionals worldwide, making their strategic decisions more data-driven and impactful.

Ready to build the AI that powers Fortune 500 strategy? Join us.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 4 points (from 70 before penalties). Reviewed 21 Sep 2026.