Walmart Seeks Engineers With Fundamentals and a Willingness to Learn

Walmart’s tech chief, Sravana Karnati, hires for engineering fundamentals and a learning mindset over language or tool familiarity. Walmart backs growth with training programs, and candidates should show systems thinking and a documented track record of learning.

Walmart Seeks Engineers With Fundamentals and a Willingness to Learn
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Key takeaways
Walmart EVP Sravana Karnati prioritizes engineering fundamentals and willingness to learn over specific language knowledge.
Walmart supports on‑the‑job learning via Walmart Academy, Global Tech Academy, and Tech Fellows mentoring programs.
Candidates should show systems, algorithms, architecture experience and a track record of self‑directed learning.

Walmart’s top tech hiring voice is sending a clear signal to global engineers—and to employers that sponsor them. In a recent interview, Sravana Karnati, the Walmart EVP of Global Tech Platforms, said he looks for two traits above all else when selecting engineers: strong engineering fundamentals and a willingness to learn. His message matters far beyond Bentonville. For candidates seeking roles in the United States 🇺🇸 and for teams making high-stakes hiring calls, his approach highlights the traits that stand the test of time as tools, frameworks, and job titles change.

What Karnati prioritizes in candidates

Walmart Seeks Engineers With Fundamentals and a Willingness to Learn
Walmart Seeks Engineers With Fundamentals and a Willingness to Learn

Karnati made plain that language checklists don’t win jobs at Walmart.

  • “It is not about whether you know Java, whether you know C++, or some other language. What we look for is, does a person understand the fundamentals of computer science?” he said.
  • He emphasizes systems, algorithms, and architecture, placing long-term adaptability over short-term tool familiarity.
  • Products like Figma and large language models (LLMs) are seen as helpful aids, not replacements for deep technical judgment.

Understanding architecture, dependencies, and risk is non‑negotiable in real engineering work.

Openness to nontraditional backgrounds

Karnati’s own path illustrates the point: he holds a doctorate in chemical engineering and built an extensive career in technology.

  • He does not require a computer science degree.
  • People from diverse academic backgrounds can succeed if they show:
    • A strong orientation to computing
    • The core thinking that powers good software and systems

Learning mindset and career durability

Karnati prizes adaptability over time. He looks for proof that a candidate stays current with business and technology trends through:

  • Projects, internships, coursework, or personal initiatives that show steady growth
  • A wide palette of learning rather than narrow specialization
💡 Tip
Highlight a robust learning track: include side projects that probe architecture decisions and document open-source reviews to prove ongoing growth beyond your degree.

In short: he hires for the habit of learning, not just the skills of the moment.

Why fundamentals matter now

The industry has shifted with AI and new tooling accelerating some tasks, but they also increase the importance of judgment.

  • Engineers who can reason about systems under stress, weigh trade‑offs, and explain risk will remain valuable.
  • Those who anchor value to one stack or framework risk obsolescence as platforms change.

This reasoning also supports employer-sponsored mobility: hires who can grow across domains and product cycles are more valuable for long-term roadmaps and stable core platforms.

Company support at Walmart

Walmart’s culture appears to back Karnati’s hiring philosophy through development programs:

  • Walmart Academy
  • Global Tech Academy
  • Tech Fellows program mentoring junior engineers

These programs indicate that learning on the job is expected and supported, not merely an extracurricular activity. They encourage hiring managers to reward growth maps, not just static resumes.

Practical advice for job seekers

Focus on the bedrock first, then demonstrate learning.

  1. Strengthen fundamentals:
    • Data structures, algorithms, and systems.
  2. Show your learning track record:
    • Side projects that probe architecture choices
    • Open-source contributions with real reviews
    • Internships that tackle ambiguous problems
  3. If your degree isn’t in CS, make your computing orientation obvious by showing:
    • How you framed complex systems
    • How you handled failure modes
    • How you simplified a design with clear trade-offs
  4. Be open to roles outside your formal specialization if you can show technical fluency and curiosity.

Interview and hiring guidance for teams

Hiring teams should shift evaluations away from rote syntax toward reasoning and judgment.

  • Use system design conversations, architecture critiques, and exercises exploring risk and dependencies.
  • Look for evidence of self‑driven learning over time: how a person chose projects, adopted new tools, or retired old ones.
  • Avoid overweighting credentials or single‑tool familiarity; assess adaptability and the ability to explain decisions clearly.

Tips for international applicants

Align your portfolio to show durable value across tools and markets.

  • Anchor resumes in outcomes: scale, reliability, cost, and safety travel better than single‑product descriptions.
  • When describing roles, structure entries as:
    • The problem
    • The constraints
    • The options you weighed
    • The result
⚠️ Important
Don’t rely on a single tech stack or tool in interviews; be ready to discuss trade-offs, risks, and system-level reasoning across domains to avoid obsolescence.

This highlights the judgment Karnati values and strengthens cases with large employers.

Policy context and resources

Engineers planning careers in the United States often rely on employer sponsorship. Visa rules evolve, but large employers consistently want hires whose skills grow with the business and whose judgment improves with scope.

How to evaluate new tools

When new tools appear, treat them as opportunities to test core ideas, not replace them.

Ask yourself:
– What system problem does this tool solve?
– What risks does it introduce?
– How would I measure success?
– What would fail first under load?

These questions bring you back to fundamentals, help you discuss design with senior engineers and product leaders, and often define interview moments.

Final takeaways for employers and candidates

  • Employers: frame job posts around problems to solve, not lists of tools. Let candidates demonstrate how they learn (a short conversation about a newly adopted tool can be highly revealing).
  • Candidates: build engineering fundamentals, show a willingness to learn, and document that record so it speaks across borders.

Tools and titles will change. What remains valuable is the engineer who can explain a system, weigh risk, and keep learning. This shared focus helps make hiring fairer, teams stronger, and careers more resilient.

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Learn Today
engineering fundamentals → Core principles like data structures, algorithms, systems design, and architecture that underpin software engineering.
systems design → The process of defining the architecture, components, and interfaces of a software system to meet requirements.
algorithms → Step‑by‑step procedures or formulas for solving problems, often evaluated for efficiency and correctness.
LLMs → Large language models — AI systems trained on vast text datasets that assist with tasks but don’t replace technical judgment.
Walmart Academy → An internal Walmart training program aimed at developing employee skills, including technical and operational competencies.
Global Tech Academy → Walmart’s global program focused on tech skill development and career growth for engineers and technologists.
Tech Fellows program → A mentoring initiative at Walmart pairing experienced engineers with junior staff to accelerate professional development.
employer sponsorship → When a company supports a foreign worker’s visa or immigration process so they can work legally in a country.

This Article in a Nutshell

Sravana Karnati, EVP of Global Tech Platforms at Walmart, emphasizes hiring engineers for deep computer science fundamentals and a demonstrated willingness to learn rather than tool‑specific knowledge. He prioritizes systems, algorithms, and architecture understanding and views modern tools and AI as aids to, not substitutes for, judgment. Karnati welcomes nontraditional academic backgrounds when candidates show computing orientation and problem‑solving ability. Walmart supports continuous learning through programs like Walmart Academy, Global Tech Academy, and the Tech Fellows program. Job seekers should focus on fundamentals, document learning through projects and internships, and frame work in terms of problems, constraints, decisions, and outcomes to appeal to employers and visa sponsors.

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Sai Sankar

Sai Sankar is a law postgraduate with over 30 years of extensive experience in various domains of taxation, including direct and indirect taxes. With a rich background spanning consultancy, litigation, and policy interpretation, he brings depth and clarity to complex legal matters. Now a contributing writer for Visa Verge, Sai Sankar leverages his legal acumen to simplify immigration and tax-related issues for a global audience.

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