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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack software engineering with a focus on scalable cloud-native applications, AI integration, and security automation. Proficient in leading architecture decisions, mentoring teams, and implementing CI/CD practices to enhance operational efficiency.
Highest-signal resume keywords
Full-Stack Software EngineeringJava ProgrammingMicroservices ArchitectureCloud-Native Application DevelopmentCI/CD Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaSpring BootMicroservicesRESTful APIsPythonReactSQLETL/ELT WorkflowsDockerKubernetes
Soft Skills
Excellent CommunicationCollaboration
Tools & Technologies
GCPAzureKafkaSparkAI Coding Assistants
Industry Keywords
Cloud ServicesSecurity AutomationObservabilityDevSecOpsOWASP
Tech Stack
Tools & technologiesAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformJavaJavaScriptKafkaKubernetesMicroservicesNoSQLPythonReactSparkSpringSpring BootSpringBootSQLTypeScript
About the role
Key responsibilities & impact- Lead architecture, design, and hands-on development of scalable cloud-native full-stack applications
- Build LLM APIs, AI agents, and generative AI capabilities into enterprise applications and workflows
- Develop intelligent security automation platforms for risk assessments, control validation, compliance attestation, and evidence collection
- Build orchestration engines and automated workflows integrated into application development and deployment lifecycles
- Create API-driven integrations with enterprise platforms, security tools, cloud services, asset inventories, vulnerability management systems, and other data sources
- Design data ingestion, transformation, normalization, and processing pipelines
- Develop reusable microservices, RESTful APIs, event-driven architectures, and integration frameworks
- Build web applications, self-service portals, dashboards, and workflow interfaces
- Develop policy-as-code capabilities, rules engines, and automated decision workflows
- Integrate security and compliance checks into developer platforms and CI/CD pipelines
- Implement AI-powered recommendations, analysis, agentic workflows, and human-in-the-loop decision support
- Use AI coding assistants for code generation, prototyping, testing, debugging, refactoring, and documentation
- Design and deploy containerized applications with Docker, Kubernetes, GCP, and Azure
- Build and maintain CI/CD pipelines, infrastructure automation, security scanning, and automated testing
- Establish observability, logging, monitoring, and operational readiness
- Drive architecture decisions, design reviews, code reviews, reusable patterns, and best practices
- Mentor engineers and improve productivity through automation and continuous improvement
- Collaborate with security architects, product managers, platform engineering teams, and business stakeholders
- Own end-to-end engineering delivery from requirements and design through deployment, operations, and optimization
Requirements
What you’ll need- 10+ years of progressive full-stack software engineering experience
- Strong proficiency in Java, Spring Boot, microservices architecture, RESTful APIs, and distributed systems
- Experience building LLM APIs, AI agents, or generative AI capabilities
- Frontend development experience with React, JavaScript/TypeScript, HTML, CSS, and modern UI frameworks
- Strong Python programming and scripting experience
- Experience designing complex integrations across enterprise applications, cloud services, security platforms, and heterogeneous data sources
- Understanding of relational and NoSQL databases, SQL optimization, data modeling, and scalable data processing
- Experience with data ingestion pipelines, ETL/ELT workflows, and event-driven processing using Kafka, Spark, or equivalent
- Understanding of software architecture, object-oriented design, design patterns, data structures, algorithms, and performance optimization
- Experience with GCP or Azure, Docker, Kubernetes, and cloud-native application development
- Experience implementing CI/CD, automated testing, infrastructure as code, and DevSecOps practices
- Experience using AI coding assistants, prompt engineering, and Vibe Coding techniques
- Understanding of secure software development, OWASP, authentication and authorization, OAuth 2.0, OIDC, and secrets management
- Experience designing reliable, scalable, fault-tolerant systems with observability, logging, monitoring, and troubleshooting
- Technical leadership, architecture reviews, mentoring, and engineering best-practice influence
- Excellent communication and collaboration across globally distributed teams
- Bachelor's degree in a relevant technical discipline and 4 years’ experience, or 6 years’ experience in software engineering or related area
- Must work in the Bangalore office for daily work
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
- Best-in-class benefits package