Inside the Role
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Senior Full Stack Developer who will focus on .NET backend services, business logic, and integration layers that support CHEC's configuration engine and ECU-related workflows. AI fluency is a core competency on this team - you will use AI coding assistants daily to accelerate API design and implementation, generate robust test coverage, and ensure the security and reliability of backend systems.
What You Drive at DTNA
Design and implement .NET/C# backend services and APIs
Build robust validation, rules, and configuration logic
Ensure performance, security, and reliability of backend systems, including AI-assisted code review and security analysis
Collaborate with frontend developers and architects on API contracts
Support Azure deployments, monitoring, and troubleshooting
Contribute to automated integration and API tests, leveraging AI tools to generate test cases, improve coverage, and identify edge cases
Participate in agile planning and code reviews
Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as daily development tools to accelerate API design, implementation, and debugging
Apply prompt engineering techniques to generate, refactor, and optimize .NET/C# backend code
Critically evaluate AI-generated code for correctness, security, and compliance with safety-relevant domain requirements
Share effective prompts and AI workflow techniques with teammates
Knowledge You Should Bring
Bachelor's degree in Computer Science, Software Engineering, or related field
6+ years backend or full-stack development
Strong C#/.NET and API architecture experience
Database expertise (SQL Server, Entity Framework / EF Core, data modeling)
RESTful API design principles (versioning, pagination, error handling conventions)
Unit testing and TDD frameworks (xUnit, NUnit, Moq)
Security best practices (OWASP, input validation, authentication/authorization patterns)
Experience with Microsoft Azure cloud services and GitHub
Experience with enterprise or tool-based platforms
Demonstrated proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) in daily development workflows
Prompt engineering skills for backend code generation, API scaffolding, and test creation
Ability to critically evaluate and refine AI-generated code, particularly for security and safety-relevant contexts
Responsibilities
Inside the Role
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Senior Full Stack Developer who will focus on .NET backend services, business logic, and integration layers that support CHEC's configuration engine and ECU-related workflows. AI fluency is a core competency on this team - you will use AI coding assistants daily to accelerate API design and implementation, generate robust test coverage, and ensure the security and reliability of backend systems.
What You Drive at DTNA
Design and implement .NET/C# backend services and APIs
Build robust validation, rules, and configuration logic
Ensure performance, security, and reliability of backend systems, including AI-assisted code review and security analysis
Collaborate with frontend developers and architects on API contracts
Support Azure deployments, monitoring, and troubleshooting
Contribute to automated integration and API tests, leveraging AI tools to generate test cases, improve coverage, and identify edge cases
Participate in agile planning and code reviews
Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as daily development tools to accelerate API design, implementation, and debugging
Apply prompt engineering techniques to generate, refactor, and optimize .NET/C# backend code
Critically evaluate AI-generated code for correctness, security, and compliance with safety-relevant domain requirements
Share effective prompts and AI workflow techniques with teammates
Knowledge You Should Bring
Bachelor's degree in Computer Science, Software Engineering, or related field
6+ years backend or full-stack development
Strong C#/.NET and API architecture experience
Database expertise (SQL Server, Entity Framework / EF Core, data modeling)
RESTful API design principles (versioning, pagination, error handling conventions)
Unit testing and TDD frameworks (xUnit, NUnit, Moq)
Security best practices (OWASP, input validation, authentication/authorization patterns)
Experience with Microsoft Azure cloud services and GitHub
Experience with enterprise or tool-based platforms
Demonstrated proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) in daily development workflows
Prompt engineering skills for backend code generation, API scaffolding, and test creation
Ability to critically evaluate and refine AI-generated code, particularly for security and safety-relevant contexts
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Senior Full Stack Developer - Backend (.NET)
AWS DevOps Engineer
Experience: 3–9 Years
Location: Bangalore / Hybrid
Employment Type: Full-time
Role Overview
We are looking for an experienced AWS DevOps Engineer with 3–9 years of hands-on experience in AWS cloud infrastructure, CI/CD automation, Infrastructure as Code, containerization, Kubernetes, monitoring, and production support.
The candidate will be responsible for automating infrastructure provisioning, building and maintaining CI/CD pipelines, deploying applications on AWS, improving platform reliability, and supporting scalable and secure cloud environments.
The role aligns with core AWS DevOps practices around SDLC automation, IaC, resilient cloud solutions, monitoring/logging, incident response, and security.
Key Responsibilities
Design, deploy, configure, and maintain AWS cloud infrastructure.
Develop and manage CI/CD pipelines for application build, testing, and deployment.
Automate infrastructure provisioning using Terraform and/or AWS CloudFormation.
Manage containerized applications using Docker and Kubernetes/Amazon EKS.
Implement deployment strategies such as Rolling, Blue-Green, and Canary deployments.
Manage AWS services including EC2, VPC, IAM, S3, RDS, Lambda, CloudWatch, ELB/ALB, Route 53 and ECR.
Develop automation scripts using Shell/Bash and/or Python.
Implement monitoring, logging, alerting, and operational dashboards.
Troubleshoot infrastructure, application deployment, networking, and production issues.
Implement AWS security best practices including IAM, security groups, secrets management, encryption, and least-privilege access.
Support high availability, scalability, disaster recovery, backup, and business continuity requirements.
Collaborate with developers, QA, architects, and application teams to improve deployment and operational processes.
Participate in incident management, root-cause analysis, and continuous improvement activities.
Optimize cloud infrastructure for performance, reliability, and cost.
Mandatory Skills
AWS Cloud
EC2, VPC, IAM, S3
RDS, Lambda
CloudWatch
ELB/ALB, Route 53
ECR
CI/CD
Jenkins / GitHub Actions / GitLab CI / AWS CodePipeline
Build, release, deployment automation
Pipeline troubleshooting
Infrastructure as Code
Terraform – mandatory
AWS CloudFormation – good to have
Containers & Kubernetes
Docker
Kubernetes
Amazon EKS – preferred
Linux
Linux administration
Shell/Bash scripting
Troubleshooting and performance analysis
Version Control
Git
GitHub / GitLab / Bitbucket
Good to Have
Helm
ArgoCD / GitOps
Ansible
Python scripting
Prometheus & Grafana
ELK / OpenSearch
AWS Systems Manager
AWS Secrets Manager / Parameter Store
Security scanning / DevSecOps
SonarQube
Trivy
Jira / ServiceNow
Experience with microservices architecture
Monitoring & Observability
Hands-on experience with:
AWS CloudWatch
Prometheus
Grafana
ELK / OpenSearch
Application and infrastructure monitoring
Log aggregation
Alerting and incident response
Security & Compliance
AWS IAM and RBAC
Security Groups and NACLs
Encryption using AWS KMS
Secrets management
Vulnerability and container scanning
Least-privilege access
Secure CI/CD practices
Experience Expectations
3–5 Years
Strong AWS fundamentals
CI/CD pipeline development
Terraform
Docker
Linux
Git
Basic Kubernetes/EKS
Production troubleshooting
5–7 Years
Strong AWS + Terraform expertise
Kubernetes/EKS administration
Advanced CI/CD
Monitoring and observability
Production incident management
Automation and scripting
7–9 Years
Advanced AWS architecture and operations
EKS/Kubernetes administration
Advanced Terraform/IaC
DevSecOps
High availability and disaster recovery
Platform automation
Technical ownership and mentoring
Key Competencies
AWS Cloud Infrastructure
DevOps & CI/CD
Terraform / IaC
Kubernetes / EKS
Docker
Linux
Automation & Scripting
Monitoring & Observability
Cloud Security
Production Support
Troubleshooting
Incident & Problem Management
Top 5 Screening Skills
AWS + Terraform + CI/CD + Kubernetes/EKS + Linux
For sourcing, I would treat AWS, Terraform and CI/CD as the core mandatory combination, with Kubernetes/EKS as a major differentiator for the 5–9 year candidates. AWS itself emphasizes automation, IaC, resilient systems, monitoring/logging, incident response, and security as key DevOps competencies.
Responsibilities
AWS DevOps Engineer
Experience: 3–9 Years
Location: Bangalore / Hybrid
Employment Type: Full-time
Role Overview
We are looking for an experienced AWS DevOps Engineer with 3–9 years of hands-on experience in AWS cloud infrastructure, CI/CD automation, Infrastructure as Code, containerization, Kubernetes, monitoring, and production support.
The candidate will be responsible for automating infrastructure provisioning, building and maintaining CI/CD pipelines, deploying applications on AWS, improving platform reliability, and supporting scalable and secure cloud environments.
The role aligns with core AWS DevOps practices around SDLC automation, IaC, resilient cloud solutions, monitoring/logging, incident response, and security.
Key Responsibilities
Design, deploy, configure, and maintain AWS cloud infrastructure.
Develop and manage CI/CD pipelines for application build, testing, and deployment.
Automate infrastructure provisioning using Terraform and/or AWS CloudFormation.
Manage containerized applications using Docker and Kubernetes/Amazon EKS.
Implement deployment strategies such as Rolling, Blue-Green, and Canary deployments.
Manage AWS services including EC2, VPC, IAM, S3, RDS, Lambda, CloudWatch, ELB/ALB, Route 53 and ECR.
Develop automation scripts using Shell/Bash and/or Python.
Implement monitoring, logging, alerting, and operational dashboards.
Troubleshoot infrastructure, application deployment, networking, and production issues.
Implement AWS security best practices including IAM, security groups, secrets management, encryption, and least-privilege access.
Support high availability, scalability, disaster recovery, backup, and business continuity requirements.
Collaborate with developers, QA, architects, and application teams to improve deployment and operational processes.
Participate in incident management, root-cause analysis, and continuous improvement activities.
Optimize cloud infrastructure for performance, reliability, and cost.
Mandatory Skills
AWS Cloud
EC2, VPC, IAM, S3
RDS, Lambda
CloudWatch
ELB/ALB, Route 53
ECR
CI/CD
Jenkins / GitHub Actions / GitLab CI / AWS CodePipeline
Build, release, deployment automation
Pipeline troubleshooting
Infrastructure as Code
Terraform – mandatory
AWS CloudFormation – good to have
Containers & Kubernetes
Docker
Kubernetes
Amazon EKS – preferred
Linux
Linux administration
Shell/Bash scripting
Troubleshooting and performance analysis
Version Control
Git
GitHub / GitLab / Bitbucket
Good to Have
Helm
ArgoCD / GitOps
Ansible
Python scripting
Prometheus & Grafana
ELK / OpenSearch
AWS Systems Manager
AWS Secrets Manager / Parameter Store
Security scanning / DevSecOps
SonarQube
Trivy
Jira / ServiceNow
Experience with microservices architecture
Monitoring & Observability
Hands-on experience with:
AWS CloudWatch
Prometheus
Grafana
ELK / OpenSearch
Application and infrastructure monitoring
Log aggregation
Alerting and incident response
Security & Compliance
AWS IAM and RBAC
Security Groups and NACLs
Encryption using AWS KMS
Secrets management
Vulnerability and container scanning
Least-privilege access
Secure CI/CD practices
Experience Expectations
3–5 Years
Strong AWS fundamentals
CI/CD pipeline development
Terraform
Docker
Linux
Git
Basic Kubernetes/EKS
Production troubleshooting
5–7 Years
Strong AWS + Terraform expertise
Kubernetes/EKS administration
Advanced CI/CD
Monitoring and observability
Production incident management
Automation and scripting
7–9 Years
Advanced AWS architecture and operations
EKS/Kubernetes administration
Advanced Terraform/IaC
DevSecOps
High availability and disaster recovery
Platform automation
Technical ownership and mentoring
Key Competencies
AWS Cloud Infrastructure
DevOps & CI/CD
Terraform / IaC
Kubernetes / EKS
Docker
Linux
Automation & Scripting
Monitoring & Observability
Cloud Security
Production Support
Troubleshooting
Incident & Problem Management
Top 5 Screening Skills
AWS + Terraform + CI/CD + Kubernetes/EKS + Linux
For sourcing, I would treat AWS, Terraform and CI/CD as the core mandatory combination, with Kubernetes/EKS as a major differentiator for the 5–9 year candidates. AWS itself emphasizes automation, IaC, resilient systems, monitoring/logging, incident response, and security as key DevOps competencies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
