Staff Software Engineer

Jobtailor

Bengaluru

On-site

INR 4,200,000 - 7,000,000

Full time

3 days ago

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Job summary

Jobtailor in Bengaluru seeks a senior cloud-focused technologist to design and deliver scalable cloud-native solutions on AWS and/or Azure. You will lead architecture, security, and implementation efforts, partnering with business and tech teams to translate needs into tangible capabilities.

The role emphasizes DevSecOps, automation, and governance, with a focus on measurable business impact and operational excellence across enterprise platforms.

Qualifications

Proven ability to operate effectively in highly ambiguous environments.
Strong understanding of business processes and value creation.
Experience designing distributed systems and production-grade apps.
Deep understanding of enterprise architecture and microservices.
Experience with AWS and/or Azure cloud platforms.
Knowledge of Terraform, Kubernetes, and cloud automation.
Security, governance, and DevSecOps practices in delivery.

Responsibilities

Partner with stakeholders to solve high-value business problems.
Design and deliver production-ready cloud-native capabilities.
Translate needs into measurable outcomes and executable strategies.
Lead discovery, design sessions, and rapid validation activities.
Drive initiatives from concept through adoption and operations.
Balance speed, quality, scalability, security, and cost.

Skills

Python

TypeScript

Java

Distributed Systems

Enterprise Architecture

Terraform

Kubernetes

Cloud Automation

Observability

Application Security

DevSecOps

AI Tools

Stakeholder Management

Leadership

Communication

Tools

AWS

Azure

Automation Frameworks

Deployment Pipelines

Containerization

Policy Enforcement

Job description

Partner with business, product, and technology stakeholders to identify and solve high-value business problems
Analyse customer journeys, business processes, operating models, and technical ecosystems
Translate ambiguous needs into clearly defined capabilities and measurable outcomes
Facilitate discovery workshops, design sessions, and rapid validation activities
Develop executable solution strategies aligned with business objectives
Design and deliver production-ready business capabilities
Drive initiatives from concept through implementation, adoption, and operational readiness
Make pragmatic trade-offs across speed, quality, scalability, security, maintainability, and cost
Build critical solution components and reference implementations when required
Design solutions across enterprise applications, APIs, cloud services, data platforms, AI services, and legacy technologies
Apply event-driven architecture, microservices architecture, domain-driven design, workflow orchestration, and enterprise integration patterns
Design, build, and operate cloud-native solutions across AWS and/or Azure
Apply Infrastructure as Code, Terraform, Kubernetes, automation, deployment pipelines, observability, and operational excellence practices
Optimise performance, reliability, availability, and cost efficiency of cloud-based workloads
Implement monitoring, logging, tracing, and operational controls
Embed security, privacy, compliance, resilience, and governance into solution discovery, design, and implementation
Conduct threat modelling, risk analysis, and security architecture reviews
Design secure authentication, authorisation, encryption, secrets management, and data protection controls
Promote DevSecOps practices including automated security testing, vulnerability management, dependency validation, policy enforcement, and continuous compliance
Leverage AI-assisted engineering to accelerate discovery, development, testing, troubleshooting, documentation, and operational support
Apply agentic workflows, automation frameworks, tool orchestration, and human-in-the-loop approaches
Establish responsible AI guardrails covering governance, accountability, security, and data protection
Establish reusable engineering patterns, accelerators, frameworks, and implementation blueprints
Improve software quality through automation, testing, observability, operational readiness, and engineering standards
Mentor engineers and raise technical capability across teams
Establish ownership models, documentation, support processes, operational runbooks, and automation
Communicate technical decisions in terms of business value, customer impact, risk, speed, and investment efficiency
Present solution options, trade-offs, and recommendations to senior leaders
Influence stakeholders without relying on organisational authority
Enable permanent teams to independently operate and evolve delivered capabilities

Requirements

Proven ability to operate effectively in highly ambiguous environments
Strong understanding of business processes, customer journeys, and value creation
Ability to move from need → problem → capability → solution → implementation
Excellent judgement regarding simplification, prioritisation, and scope management
Demonstrated ownership of measurable business outcomes
Strong software engineering experience in Python, TypeScript, Java, or equivalent technologies
Experience designing and developing distributed systems and production-grade applications
Deep understanding of enterprise architecture, microservices architecture, distributed systems, and modern software design principles
Experience building scalable, resilient, and maintainable systems
Strong experience designing and delivering solutions on AWS and/or Azure
Experience with Infrastructure as Code, Terraform, Kubernetes, containerisation, cloud automation, and deployment pipelines
Strong understanding of observability, reliability engineering, monitoring, logging, tracing, and operational excellence
Experience designing secure and resilient cloud-native solutions
Understanding of scalability, performance optimisation, cloud security, governance, and cost management
Ability to design, build, deploy, and operate production-grade workloads in cloud environments
Experience applying application security principles and secure engineering practices
Understanding of identity management, access control, encryption, threat modelling, and secure architecture
Experience implementing DevSecOps and automated governance controls
Ability to balance security, compliance, risk, usability, and delivery speed
Hands-on experience using AI-assisted engineering tools within software delivery workflows
Understanding of agentic architectures, automation frameworks, tool orchestration, and human-in-the-loop systems
Knowledge of responsible AI practices, governance, and risk management
Demonstrated senior-level technical leadership
Strong communication and stakeholder management skills
Ability to influence business leaders, architects, engineers, and delivery teams
Proven ability to raise the capability of teams around you
Comfortable making difficult decisions and owning outcomes

Core Competencies

Demonstrates expertise in designing and delivering cloud-native solutions using AWS and/or Azure, with a strong focus on security, compliance, and operational excellence. Proven ability to translate business needs into measurable outcomes while leading teams through complex problem-solving and implementation processes.

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