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Software Development Engineer III

  • Source: LinkedIn
  • Safe Security
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Job Overview:

We are seeking an experienced and passionate Engineer to join our engineering team. As a senior engineer, you will lead a high-performing engineering team working closely with our Design, Product, and other stakeholders to develop and deliver core product features that help in predicting and preventing cyber breaches.

Location: Bengaluru

Core Responsibilities:

  • Technical Leadership: Provide technical leadership and mentorship to engineers, promoting engineering best practices, high code quality, and continuous improvement.
  • Architecture and Design: Collaborate with cross-functional teams to design and architect scalable, secure, and high-performance multi-tenant services and systems.
  • Code Review: Conduct thorough code reviews, identify opportunities for improvement, and provide constructive technical feedback to engineers.
  • Cloud Expertise: Leverage AWS services such as Lambda, API Gateway, EC2, S3, RDS, and other appropriate cloud technologies to architect and optimize cloud-based solutions.
  • Problem Solving: Troubleshoot complex technical problems, identify root causes, and design effective and scalable solutions.
  • Collaboration: Work closely with Product, Design, Engineering, and other stakeholders to ensure technical solutions are aligned with product and business objectives.
  • Project Execution: Lead the planning, execution, and successful delivery of features while maintaining engineering quality and predictable delivery.

Experience/ Qualifications/ Education:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of software engineering experience, including experience operating as a Senior Engineer or Lead Engineer.
  • Strong expertise in at least one server-side programming language such as Node.js, Python, or Go .
  • Hands-on experience designing and developing APIs and backend services. Experience with TypeScript and frameworks such as Express is preferred.
  • Good understanding of SQL and NoSQL databases and their appropriate use across different workloads.
  • Strong understanding of cloud computing concepts and hands-on experience with a major cloud provider such as AWS, GCP, or Azure .
  • Experience building and deploying applications in containerized environments .
  • Proven track record of building and delivering high-performance and scalable platforms in a fast-paced engineering environment.
  • Strong understanding of system design, distributed systems, scalability, reliability, and multi-tenant architectures .
  • Strong leadership and communication skills, with the ability to lead and mentor engineers toward technical excellence.
  • Strong problem-solving and critical-thinking abilities.
  • High degree of ownership with the ability to drive problems from definition through production delivery.
  • Understanding of DevOps practices and Infrastructure as Code technologies such as AWS CloudFormation is advantageous.

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.

Join our rocket ship if you want to learn, make your mark, and work with incredible talent!

Skills

  • amazon-web-services
  • aws-lambda
  • amazon-api-gateway
  • amazon-ec2
  • amazon-s3
  • amazon-rds-for-mysql
  • NodeJS
  • Python
  • Golang
  • TypeScript
  • microsoft-typescript
  • google-cloud-platform
  • microsoft-azure
  • aws-cloudformation
  • Cursor
  • claude-code
  • Github
  • gitHub-copilot

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