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Open nowPosted 57 days ago

Staff Engineer

Safe Security20 open roles

Where
Bengaluru
Work mode
On site
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Your applicationOpen nowStaff EngineerSafe Security · Bengaluru

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Safe Security's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted 57 days ago

The posting

Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we’ve built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don’t just provide data; we provide certainty.

We are a $170M Series C-funded category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to serve 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria’s Secret.

As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity.

The Culture Memo: Our Operating System

Safe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence.

  • Extreme Ownership: We don’t do "not my job." We hire people who see a gap and own the solution from start to finish.
  • The Elite Standard: We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time.
  • Methodology & Rigor: We don’t wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable.
  • Radical Candor: We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly.
  • The Series C Hustle: We have the stability of a well-funded leader but the heart of a startup.

The Perks & Ownership:

We want our team to feel like owners because they are owners. We trust our people to manage their results and their time.

  • Meaningful Equity: Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success.
  • Unlimited Leaves: We don’t believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission.
  • Comprehensive Benefits: We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for.
  • Career Trajectory: We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition.

🚀 The Role: Staff Engineer

We’re looking for a Staff Engineer who lives for solving the hard stuff. You’ll be the technical force multiplier—leading architecture, scaling systems, and guiding engineers to build products that help predict and prevent cyber breaches before they happen.

If you’ve been waiting for a role where you can lead bold ideas, shape product direction, and create real-world impact at global scale—this is it.

🧩 What You’ll Do:

  • Be the Tech Leader: Mentor engineers, champion clean code, and drive a culture of technical excellence.
  • Architect at Scale: Design secure, high-performance multi-tenant microservices that can handle serious load—without breaking a sweat.
  • Code Like a Pro: Conduct deep-dive code reviews and stay hands-on when it matters most.
  • Master the Cloud: Architect smart solutions using AWS (Lambda, API Gateway, EC2, S3, RDS—you name it).
  • Solve Complex Problems: Debug, diagnose, and dismantle architectural challenges with finesse.
  • Collaborate & Influence: Work closely with Product, Design, and GTM teams to align tech with business.
  • Drive Delivery: Own the roadmap, lead execution, and ensure on-time, high-quality releases.
  • Innovate Constantly: Introduce and champion new tools, patterns, and practices that elevate our engineering game.

💡 What We’re Looking For:

  • 8+ years of experience as a Staff/Senior Engineer or equivalent.
  • Strong backend chops in Node.js, Python, Go, or similar.
  • Hands-on experience building APIs in TypeScript (Express is a plus).
  • Bonus points if you’ve played with modern frontends (React, Angular, Vue).
  • Deep database expertise (SQL & NoSQL), with performance tuning skills.
  • Proven success building on the cloud (AWS/GCP/Azure).
  • Containerization know-how—Kubernetes or Docker is your playground.
  • You’ve built and scaled platforms that handle real-world load.
  • Strong leadership, mentoring, and cross-functional collaboration skills.
  • You love tackling tough architecture challenges head-on.
  • Familiarity with DevOps and IaC (CloudFormation is a plus).

AI / LLM Skills:

  • Strong working knowledge of Generative AI and LLM fundamentals, including how LLMs work, tokens, context windows, prompting, hallucinations, embeddings, and common model limitations.
  • Hands-on experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or equivalent, with the ability to critically review and validate AI-generated code, tests, and technical solutions.
  • Understanding of common LLM application patterns, including structured outputs, tool/function calling, retrieval-augmented generation (RAG), and agentic workflows.
  • Ability to make informed engineering decisions about when to use deterministic software, a direct LLM call, retrieval/RAG, or an agentic approach, based on the problem being solved.
  • Ability to define how AI-powered capabilities should be evaluated, including the use of golden datasets, appropriate accuracy metrics, regression testing, human evaluation, and LLM-as-a-judge where appropriate.
  • Ability to reason about production AI trade-offs, including accuracy, latency, cost, reliability, security, and observability.

If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security, we want to hear from you! 🚀

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One press. We do the rest.

  1. A CV for this posting

    Written against Safe Security's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Safe Security's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Safe Security's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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