Software Engineer III – Forward Deployment Engineer

Jobtailor

Bengaluru

Hybrid

INR 3,500,000 - 5,200,000

Full time

3 days ago
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Job summary

Jobtailor in Bengaluru seeks a senior cloud engineer to design and deliver cloud‑native applications on AWS and/or Azure. You will lead API and microservices development, apply secure practices, and mentor teams to achieve measurable business value.

You will collaborate with customers and internal teams to drive architecture decisions, implement IaC pipelines, and ensure scalable, resilient deployments with strong observability.

Qualifications

  • Experience delivering production‑grade cloud‑native solutions.
  • Strong customer‑centric mindset focused on business value.
  • Experience with AWS and/or Azure and IaC practices.
  • Ability to lead technical initiatives and mentor teams.
  • Familiarity with DevSecOps and security automation.
  • Proven ability to design APIs, distributed systems, and integrations.

Responsibilities

  • Work with customers, stakeholders, and product teams to gather requirements.
  • Design, develop, test, and deploy cloud‑native software solutions.
  • Lead PoCs, pilots, and complex technical initiatives.
  • Develop API integrations and microservices architectures.
  • Apply secure‑by‑design and governance practices.
  • Mentor engineers and drive code/design reviews.

Skills

Python
Java
TypeScript
API Development
Microservices Architecture
Cloud Automation
Terraform
Kubernetes
AWS
Azure
Monitoring
Security
DevSecOps
AI-Assisted Engineering
Technical Leadership

Tools

Terraform
Kubernetes
AWS
Azure
Docker
CI/CD

Job description

  • Work directly with customers, business stakeholders, and product teams to understand requirements and desired outcomes
  • Analyse customer journeys, business workflows, and user pain points
  • Translate business needs into practical technical solutions
  • Gather feedback and continuously improve delivered solutions
  • Lead technical discovery sessions and solution design workshops
  • Develop proof-of-concepts, prototypes, and minimum viable solutions
  • Evaluate technology options and recommend suitable approaches
  • Present technical recommendations and trade-offs to stakeholders
  • Support solution shaping and implementation planning
  • Design, develop, test, and deploy production-grade software solutions
  • Build APIs, integrations, microservices, automations, and cloud‑native applications
  • Participate in architecture and design discussions
  • Troubleshoot and resolve complex technical problems
  • Design, build, and support solutions on AWS and/or Azure
  • Apply Infrastructure as Code, Terraform, Kubernetes, cloud automation, and deployment pipelines
  • Implement monitoring, logging, observability, and operational controls
  • Design and contribute to scalable, resilient, secure, and cost‑effective cloud solutions
  • Apply secure‑by‑design principles and implement security controls
  • Participate in threat modelling, vulnerability remediation, and security reviews
  • Apply DevSecOps practices and automated security validation
  • Leverage AI‑assisted engineering tools for coding, testing, debugging, documentation, and automation
  • Contribute to agentic and automation initiatives
  • Provide technical leadership within project teams
  • Mentor engineers and contribute to technical knowledge sharing
  • Lead code reviews, design reviews, and engineering discussions
  • Collaborate with architects, security teams, product teams, and cloud engineers
  • Influence technical decisions through expertise, collaboration, and data‑driven recommendations
Requirements
  • Strong customer‑centric mindset focused on measurable business value
  • Experience engaging directly with customers, business stakeholders, and product teams
  • Ability to balance customer experience, business priorities, technical constraints, security requirements, and operational considerations
  • Strong software development experience using Python, Java, TypeScript, or similar technologies
  • Experience building APIs, integrations, distributed systems, and cloud‑native applications
  • Understanding of microservices architecture and modern software engineering principles
  • Experience delivering production‑grade solutions
  • Experience with AWS and/or Azure
  • Experience with Infrastructure as Code, Terraform, Kubernetes, cloud automation, and deployment pipelines
  • Knowledge of observability, monitoring, logging, and operational excellence practices
  • Understanding of cloud security, scalability, resilience, and cost optimisation
  • Experience applying secure software development practices
  • Understanding of authentication, authorisation, data protection, encryption, and application security
  • Familiarity with DevSecOps principles and security automation
  • Experience using AI‑assisted engineering tools within development workflows
  • Understanding of automation, agentic engineering concepts, and modern AI‑assisted delivery practices
  • Knowledge of responsible AI practices and governance considerations
  • Demonstrated technical leadership within engineering teams
  • Experience leading proof‑of‑concepts, pilots, or complex technical initiatives
  • Strong communication and stakeholder engagement skills
  • Ability to collaborate effectively across technical and business teams
  • Passion for continuous learning and innovation
Core Competencies

Demonstrates expertise in designing, developing, and deploying cloud‑native applications using AWS and/or Azure, with a strong focus on security, scalability, and operational excellence. Proven ability to lead technical initiatives, mentor teams, and engage effectively with stakeholders to deliver measurable business value.

Highest‑signal resume keywords
  • Cloud‑Native Application Development
  • AWS and/or Azure Solutions
  • Infrastructure as Code (Terraform, Kubernetes)
  • DevSecOps Practices
  • Technical Leadership
ATS Optimization Keywords
Hard Skills
  • Python
  • Java
  • TypeScript
  • API Development
  • Microservices Architecture
  • Production-Grade Solutions
  • Cloud Automation
  • Monitoring and Logging
  • Secure Software Development
  • AI-Assisted Engineering Tools
Soft Skills
  • Customer‑Centric Mindset
  • Strong Communication
  • Stakeholder Engagement
  • Collaboration
  • Continuous Learning
Industry Keywords
  • Cloud Security
  • Operational Excellence
  • Automation
  • Agentic Engineering
  • Responsible AI Practices
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