Check Your Resume Before You Apply

Most employers use software (an ATS) to read and rank resumes. See your score and fix it. No signup to check.

Hitachi
Software Engineer
Pune, PUNE, in

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How it works

Key Takeaways

  • Automated hiring systems can screen or route resumes before human review; ResumeGeni treats ATS scoring as parser-readiness triage, not a hiring prediction (Harvard Business School & Accenture).
  • The most common ATS-readiness problems are missing keywords, incompatible formatting, incomplete fields, and incorrect file types
  • ResumeGeni scores parseability, structure, contact fields, content completeness, skills, and keyword signals, then explains the evidence behind the score

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then use that data in search, review, and matching workflows. Parsing gaps can make a qualified candidate harder to evaluate.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword signalsJob-specific terms, skills, certificationsKeyword overlap can affect recruiter search visibility and resume-review workflows
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence extraction means important fields may need manual review

What ResumeGeni Checks Before Keyword Matching

Keyword matching only helps after the resume can be read cleanly. ResumeGeni starts with parser-readiness signals before it evaluates wording, skills, and role fit.

  • Readable text: whether the uploaded file exposes selectable text instead of only a scanned image.
  • Standard resume structure: whether contact, summary, work experience, education, and skills sections are easy to identify.
  • Field extraction: whether names, email addresses, phone numbers, employers, titles, dates, degrees, and skills can be mapped into stable fields.
  • Format risk: whether tables, columns, text boxes, decorative icons, headers, footers, or unusual bullets could interrupt parsing.
  • Evidence quality: whether experience bullets include scope, tools, metrics, and outcomes rather than generic duty lists.
  • Keyword coverage: whether relevant tools, certifications, industry terms, and role-specific phrases appear naturally in the resume.

What Your ATS Score Means

The score is a diagnostic signal, not a hiring guarantee. A high score means ResumeGeni can extract and evaluate the resume with fewer warnings. A low score means the resume likely needs structural fixes before keyword tuning matters.

Score RangeReadBest Next Action
90-100Strong parser readiness with few visible gapsTailor keywords and achievements to the target role
75-89Generally readable, but some sections or evidence may be weakFix warnings, add measurable achievements, and tighten skills
60-74Important content may be missing, vague, or hard to mapRepair structure before rewriting bullets
Below 60Parsing or completeness issues are likely holding the resume backMove to a cleaner format and rebuild core sections first

What To Fix First

Start with problems that prevent a system or recruiter from reading the resume. Save small wording changes for after the structure is clean.

PriorityFixReason
1Use a text-based PDF, DOCX, or plain text resumeImage-only files and corrupted exports cannot be reliably parsed
2Use one column and standard headingsPredictable structure improves section and field detection
3Put contact information in the body, not only the headerSome parsers ignore header and footer regions
4Replace vague duties with quantified achievementsSpecific outcomes help both recruiter review and scoring evidence
5Mirror role language truthfullyRelevant keywords help search and review without keyword stuffing

How To Use the Score Without Overfitting

The best use of an ATS score is triage. Fix problems that make the resume hard to parse or hard to evaluate, then stop when the document is clear. Do not chase a perfect score by adding keywords you cannot defend in an interview or by turning every bullet into a list of tools.

Checker signalGood correctionCorrection to avoid
Low parse confidenceMove to a single-column layout, standard headings, and selectable text.Adding more keywords before the resume can be read cleanly.
Weak evidence bulletsRewrite duties into scope, action, tool, and measurable outcome.Inflating impact numbers or copying sample bullets that do not match your work.
Missing role termsAdd truthful tools, certifications, patient loads, stack details, or workflows from your experience.Keyword stuffing a skills section with technologies you have not used.
Thin company fitCompare the resume with the target role and company application guide before applying.Submitting the same generic version to every employer.

Methodology And Limits

ResumeGeni checks format, extraction, content completeness, and keyword signals from the uploaded resume. It does not certify that every employer ATS will parse the file the same way, and it does not predict whether a recruiter will interview you.

For the scoring rubric, privacy notes, and limitations, read the ATS Resume Checker Methodology. For the broader source map behind ResumeGeni guidance, use the research hub and dated research data dashboard. For application context, use the exact company application guide or role guide that matches the job.

What the Checker Can Diagnose

Treat the ATS resume checker as a document-readiness diagnostic, not a hiring prediction. A useful check should tell you whether the resume text can be extracted, whether the major sections are recognizable, whether contact fields are present, whether bullets contain evidence, and whether role language appears naturally enough for a reviewer to understand the match.

Diagnostic areaWhat ResumeGeni looks forBest correction
Text extractionSelectable text, readable file structure, and parser confidence.Use a text-based PDF, DOCX, or pasted text version before changing wording.
Section recognitionStandard headings for contact, summary, experience, education, skills, projects, and certifications.Rename creative headings to conventional resume sections and keep content in the document body.
Evidence qualityBullets with scope, action, tools, and measurable outcomes rather than generic duties.Rewrite the most recent role first, then work backward through older experience.
Role alignmentTruthful keywords, credentials, systems, technologies, and responsibilities that match the target role.Compare the resume with a role guide and a real posting before adding or removing terms.

Pair the Score With a Role Guide

An ATS score is the starting point. After the resume is readable, compare it with the role you are targeting so your skills, bullets, and keywords match the actual posting without keyword stuffing.

Resume pathUse this guide when the checker flagsBest next page
ClinicalMissing license, certification, patient-load, unit, EHR, or care-outcome evidenceRN resume guide
TechnicalThin stack detail, unclear shipped features, missing testing, deployment, or performance evidenceFull-stack developer resume guide or Android developer resume guide
PortfolioCase studies, client scope, shipped work, project outcomes, or collaboration signals are too vagueProduct designer resume guide or Freelancer resume guide
People operationsHRIS, compliance, hiring, retention, employee-relations, or policy examples are missingHuman resources manager resume guide

Where This Checker Fits in the Application Path

Use the checker as a diagnostic gate between drafting and applying. It is strongest when the next action is specific: fix parsing risks, rewrite vague bullets, add missing role evidence, or compare the resume against a real posting. It is weaker when treated as a hiring predictor or a substitute for role judgment.

Signal from the checkerBest next pageReason
Formatting or parsing warningsATS compatibility methodologyReview the scoring categories and limits before changing the file structure.
Weak or generic experience bulletsResume guides by job titleFind role-specific examples and replace duties with evidence, scope, and outcomes.
Missing tools, systems, or certificationsSkills guides by job titleCheck which skills belong in the resume and which should appear only when truthful.
Company-specific application concernsCompany application guidesCompare employer context, ATS signals, and open-role language before final tailoring.

Sources Used For This Checker

ResumeGeni's checker combines product analysis with public resume-writing, occupational, and structured-data references. These sources inform parser-readiness guidance; they do not certify that any employer or ATS vendor will score a resume the same way.

Frequently Asked Questions

What does ResumeGeni cost?
ATS analysis, scoring, and initial improvement suggestions are included with no signup required. Saving reports requires an account, and ResumeGeni Pro ($9.99/month) unlocks exports and full AI guidance.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is parsed into structured fields such as contact information, experience, education, and skills. The score reflects how cleanly ResumeGeni can extract those fields plus format, content, and keyword signals.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

Preferred ATS Checker Resource Spine

Built by ResumeGeni. Methodology, sources, and limitations are documented above. Last updated .

Software Engineer

Hitachi · Pune, PUNE, in

Azure Solution Engineer

Overview

The Azure Solution Engineer is responsible for designing, building, testing, deploying, and supporting end-to-end solutions on the Microsoft Azure platform. This role goes beyond traditional .NET full‑stack development and focuses on building AI-first, cloud-enabled, and automation-driven solutions using a mix of Pro-code (C#, Python, JavaScript/TypeScript and Azure scripting), DevOps, and Azure AI capabilities across the Azure ecosystem.

The engineer will work closely with the Technical Architect and cross-functional teams to deliver scalable, secure, and maintainable Azure solutions. The role requires a strong foundation in Azure solution engineering and the ability to leverage AI, Generative AI, Copilot, and Azure AI Foundry as development accelerators.

Key Responsibilities

Core Azure Solution Development

  • Design and develop Azure-based solutions using C#, .NET Core, ASP.NET Core, EF Core, REST APIs, and modern front-end frameworks (Angular / React) where applicable.
  • Develop supporting services, tools, and components using Python where it is a natural fit in the Azure ecosystem (e.g., AI integration, automation, background processing).
  • Build cloud-native applications using Azure App Service, Azure Functions, Azure Container Apps, and/or AKS, based on solution needs.
  • Implement data solutions using Azure SQL, Cosmos DB, Blob Storage, and Table Storage, with attention to scalability and performance.
  • Integrate solutions using Azure Service Bus, Event Grid, and Event Hubs for asynchronous and event-driven architectures.
  • Apply Azure Well-Architected Framework principles covering reliability, security, performance, cost, and operational excellence.

Pro-Code Engineering & Azure Integrations

  • Design and implement custom Azure services, APIs, microservices, and background workers using pro-code approaches.
  • Write automation and integration scripts using Python, PowerShell, and Azure CLI for environment setup, deployments, and operational tasks.
  • Develop and maintain Infrastructure as Code using Bicep and/or Terraform.
  • Integrate enterprise systems using REST APIs, external SaaS APIs, SDKs, and Azure-native integration services.
  • Apply appropriate architectural patterns such as microservices, event-driven, serverless, and container-based architectures, based on solution requirements.
  • Ensure code quality, maintainability, and extensibility through engineering best practices.

DevOps & Engineering Excellence

  • Implement and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Apply containerization using Docker and manage deployments across environments.
  • Use scripting and configuration-as-code approaches to standardize environments and reduce manual effort.
  • Implement monitoring, logging, and observability using Application Insights, Log Analytics, OpenTelemetry, and structured logging.
  • Write unit tests, integration tests, and component tests to ensure solution quality and reliability.

AI Solution Development

  • Build AI-enabled solutions using Azure AI Services, Azure OpenAI, and Azure AI Foundry capabilities.
  • Implement GenAI use cases such as Copilot, chat-based assistants, document processing, summarization, and knowledge search.
  • Use Python and .NET SDKs to integrate AI models and services into applications.
  • Understand and apply prompt engineering, embeddings, vector search, and RAG patterns at a foundational level.
  • Contribute to Agentic AI solutions, orchestrating workflows using tools, APIs, and AI models.
  • Apply Responsible AI, security, and data privacy principles in AI solutions.

AI‑Assisted Development

  • Use GitHub Copilot, Azure Copilot, and AI-assisted tools to improve developer productivity and code quality.
  • Leverage AI for code generation, refactoring, test creation, documentation, scripting, and troubleshooting.
  • Continuously evaluate emerging AI capabilities and adopt them pragmatically within delivery teams.

Required Skills & Experience

  • 5–8 years of experience in software engineering and Azure-based solution development.
  • Strong proficiency in C#, .NET Core, and ASP.NET Core, EF Core, Web APIs
  • Practical experience with Python for Azure automation, integrations, or AI-enabled workloads.
  • Experience with JavaScript / TypeScript for frontend development and API integrations.
  • Solid understanding of cloud-native architecture patterns (microservices, event-driven, serverless).
  • Experience with Azure App Service, Azure Functions, AKS or Container Apps.
  • Strong knowledge of Azure SQL and/or Cosmos DB.
  • Experience with Azure Service Bus and asynchronous messaging patterns.
  • Understanding of Entra ID (Azure AD), Managed Identities, and secure access patterns.
  • Hands-on experience with Azure DevOps or GitHub Actions. • Working knowledge of IaC (Bicep and/or Terraform). • Experience with Docker and container-based deployments. • Experience with PowerShell and Azure CLI scripting. • Familiarity with monitoring, logging, and telemetry in Azure.
  • Awareness and practical exposure to Azure AI Services / Azure OpenAI.
  • Understanding of GenAI concepts (LLMs, prompts, embeddings, RAG).
  • Ability to integrate AI capabilities into applications using .NET and Python SDKs.
  • Willingness and curiosity to learn agentic AI and AI orchestration patterns.
  • Experience using Copilot or similar AI tools in day-to-day development
  • Strong problem-solving and analytical skills.
  • Strong pro-code engineering mindset with attention to quality and scalability.
  • Good communication skills with consulting mindset and ability to collaborate in distributed teams.
  • Mindset of continuous learning and engineering excellence.

About Hitachi Solutions India Pvt Ltd:

Hitachi Solutions, Ltd., headquartered in Tokyo, Japan, is a core member of Information & Telecommunication Systems Company of Hitachi Group and a recognized leader in delivering proven business and IT strategies and solutions to companies across many industries. The company provides value-driven services throughout the IT life cycle from systems planning to systems integration, operation and maintenance. Hitachi Solutions delivers products and services of superior value to customers worldwide through key subsidiaries in the United States, Europe, China and India. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities.

Our Competitive Edge

We work together in a dynamic and rewarding work environment. We have an experienced leadership team, excellent technology and product expertise, and strong relationships with a broad base of customers and partners.

We offer competitive compensation and benefits package, regular performance review, performance bonuses, and regular trainings.

What is it like working here?

We pride ourselves on being industry leaders and providing an enjoyable work environment where our people can grow personally and professionally. Hitachi is the place people can develop skills they’re excited about. The following are our commitments to employees.

  • We recognize our profitability and project success comes from our team—great people doing great things. As such, we pursue profitable growth and expanded opportunities for our team.
  • We offer challenging and diverse work across multiple industries and reward creativity and entrepreneurial innovation.
  • We respect, encourage, and support each individual needs to continually learn and grow personally and professionally. We are committed to fostering our people.
  • We listen. Every employee has something important to say that can contribute to enriching our environment.
  • We compensate fairly. And while employees might come for the paycheck, they stay for the people. Our people are the reason we are exceptional. This is something we never forget.

Beware of scams

Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests.  

All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.