Penetration Tester
4-6 years
14 lacs
Description
This role involves conducting and facilitating penetration testing at the vehicle, component, and functional levels. The candidate will simulate real-world attack scenarios targeting embedded systems, automotive interfaces, wireless protocols, and connected services.
Key Responsibilities:
• Contribute to the development and continuous improvement of Cybersecurity Verification & Validation (V&V) activities.
• Define, tailor, and execute/facilitate grey-box and black-box penetration testing at ECU, functional, and vehicle levels.
• Conduct fuzz testing on automotive interfaces and services to uncover unknown vulnerabilities.
• Demonstrate compliance with automotive cybersecurity standards and regulations such as ISO/SAE 21434, UNECE R155, AIS 189, and GB 44495.
• Perform penetration testing in both lab and on-site environments, with flexibility for travel.
• Perform manual security code reviews to identify vulnerabilities in embedded software and connected systems.
• Document test findings with detailed risk assessments and technical evidence
• Share with internal and external teams recommendations on security hardening measures
• Onboard and collaborate with competent external suppliers
• Occasionally conduct penetration testing of web applications, APIs, and mobile applications
Required Qualifications:
• Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Embedded Systems, Cybersecurity or a related field.
• Minimum 4 years of hands-on experience in automotive penetration testing, with 7–9 years of total experience in embedded systems or broader penetration testing domains.
• Strong understanding of vehicle and ECU architecture, and automotive cybersecurity principles.
• Familiarity with microcontroller platforms and software architectures (e.g., AUTOSAR, QNX, Linux, Android).
• Proficiency in programming (C, CAPL etc.) and scripting (Python, Bash) for test automation.
• Experience with automotive cybersecurity testing frameworks and tools.
• Hands-on security testing experience with:
o Hardware-level and its interface testing (e.g., MCU, HSM, eMMC, JTAG, UART, Fault injection, Side Channel etc.)
o Automotive interface/protocols (e.g., OBD, UDS, CAN, Ethernet)
o Wireless (e.g., Bluetooth, Wi-Fi, Cellular/SDR -4G/5G etc.)
o Connected Systems (Web/Mobile app, Server, APIs, Cloud etc.)
o Vehicle and ECU security features (e.g., secure communication, secure OTA, secure boot, secure diagnostics, firewall, IDS, logging etc.)
o Fuzz testing tools and techniques for automotive systems
• Proficiency in reverse engineering firmware using tools like Ghidra or IDA Pro.
• Experience with restbus simulation, flashing toolchains, and diagnostic tools (e.g., CANoe, vFlash, CANoe.DiVA).
• Experience conducting manual security code reviews for embedded and connected system software.
• Strong documentation, communication, and presentation skills.
• Strong skills in documenting work, communicating clearly, and presenting technical topics to varied audiences.
• Proven stakeholder management skills, including cross-functional collaboration with engineering, compliance, and supplier teams.
Nice-to-Have:
• Industry certifications such as OSCP, OSCE, GIAC GPEN, or equivalent.
• Experience with fault injection and side-channel attack simulations.
• Background in security research or conference presentations, including vulnerability discovery, technical publications, or community contributions.
Responsibilities
Penetration Tester
4-6 years
14 lacs
Description
This role involves conducting and facilitating penetration testing at the vehicle, component, and functional levels. The candidate will simulate real-world attack scenarios targeting embedded systems, automotive interfaces, wireless protocols, and connected services.
Key Responsibilities:
• Contribute to the development and continuous improvement of Cybersecurity Verification & Validation (V&V) activities.
• Define, tailor, and execute/facilitate grey-box and black-box penetration testing at ECU, functional, and vehicle levels.
• Conduct fuzz testing on automotive interfaces and services to uncover unknown vulnerabilities.
• Demonstrate compliance with automotive cybersecurity standards and regulations such as ISO/SAE 21434, UNECE R155, AIS 189, and GB 44495.
• Perform penetration testing in both lab and on-site environments, with flexibility for travel.
• Perform manual security code reviews to identify vulnerabilities in embedded software and connected systems.
• Document test findings with detailed risk assessments and technical evidence
• Share with internal and external teams recommendations on security hardening measures
• Onboard and collaborate with competent external suppliers
• Occasionally conduct penetration testing of web applications, APIs, and mobile applications
Required Qualifications:
• Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Embedded Systems, Cybersecurity or a related field.
• Minimum 4 years of hands-on experience in automotive penetration testing, with 7–9 years of total experience in embedded systems or broader penetration testing domains.
• Strong understanding of vehicle and ECU architecture, and automotive cybersecurity principles.
• Familiarity with microcontroller platforms and software architectures (e.g., AUTOSAR, QNX, Linux, Android).
• Proficiency in programming (C, CAPL etc.) and scripting (Python, Bash) for test automation.
• Experience with automotive cybersecurity testing frameworks and tools.
• Hands-on security testing experience with:
o Hardware-level and its interface testing (e.g., MCU, HSM, eMMC, JTAG, UART, Fault injection, Side Channel etc.)
o Automotive interface/protocols (e.g., OBD, UDS, CAN, Ethernet)
o Wireless (e.g., Bluetooth, Wi-Fi, Cellular/SDR -4G/5G etc.)
o Connected Systems (Web/Mobile app, Server, APIs, Cloud etc.)
o Vehicle and ECU security features (e.g., secure communication, secure OTA, secure boot, secure diagnostics, firewall, IDS, logging etc.)
o Fuzz testing tools and techniques for automotive systems
• Proficiency in reverse engineering firmware using tools like Ghidra or IDA Pro.
• Experience with restbus simulation, flashing toolchains, and diagnostic tools (e.g., CANoe, vFlash, CANoe.DiVA).
• Experience conducting manual security code reviews for embedded and connected system software.
• Strong documentation, communication, and presentation skills.
• Strong skills in documenting work, communicating clearly, and presenting technical topics to varied audiences.
• Proven stakeholder management skills, including cross-functional collaboration with engineering, compliance, and supplier teams.
Nice-to-Have:
• Industry certifications such as OSCP, OSCE, GIAC GPEN, or equivalent.
• Experience with fault injection and side-channel attack simulations.
• Background in security research or conference presentations, including vulnerability discovery, technical publications, or community contributions.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skill 1 :
Level -SA& M
Location – Bangalore & Chennai
Notice – Immediate
Primary mandate skill required – GCP Cloud Infra and Solutions, Terraform, Platform CI/CD pipelines, GoogleCloud Resouce Deployment
Secondary mandate skill required – Scripting (Python, Bash),
Open to look at CWR’s – Yes
Flexible to hire in any location – Any Cognizant location
Detailed Job Description –
Senior Cloud Engineer to build and automate the core infrastructure for data and AI/ML platform on Google Cloud.
You will partner with a Senior Data Engineer to create a scalable, secure, and reliable foundation for services like BigQuery, Dataflow, and AI Platform.
Primary Responsibilities:
Design, build, and manage robust GCP infrastructure using Infrastructure as Code (Terraform, Deployment Manager).
Develop and maintain sophisticated CI/CD pipelines for the data platform using Cloud Build and Spinnaker.
Implement and optimize GCP Cloud Storage solutions to support massive datasets.
Automate infrastructure and operational workflows using Python and Bash.
Collaborate closely with data engineers to ensure seamless deployment and operation of data processing and machine learning workloads.
Required Skills:
Deep expertise in GCP infrastructure services.
Proven hands-on experience with IaC (Terraform strongly preferred).
Strong background in building and managing CI/CD pipelines (Cloud Build, Spinnaker).
Proficient scripting skills in Python and/or Bash.
Experience supporting large-scale data and analytics platforms is a major plus.
Relevant certifications (e.g., Google Cloud Certified - Professional Cloud DevOps Engineer, Professional Cloud Architect) are highly desirable.
Skill 2:
Primary mandate skill required – GCP Infra, Infrastructure as Code (IaC) using Terraform, DevOps, CI/CD pipelines, GKE
• Secondary mandate skill required – Monitoring Cloud Monitoring/ Cloud Logging, Anthos Service Mesh
• Flexible to hire in any location – Any Cogn
Level – SA/M
Notice – 30 Days
Detailed Job Description –
Kubernetes Platform: Hands-on experience with Google Kubernetes Engine (GKE).
Infrastructure as Code (IaC) & CI/CD: Very strong expertise in Terraform, Helm, Cloud Build, Cloud Source Repositories, and Artifact Registry.
GitOps: Strong experience in managing and architecting GitOps CI/CD workflows using Config Sync.
Monitoring & Observability: Strong proficiency with Google Cloud's operations suite, including Cloud Monitoring for creating and customizing metrics/dashboards, and Cloud Logging for log analysis.
Service Mesh: Development and working experience with Anthos Service Mesh lifecycle management, including configuring and troubleshooting applications deployed within the mesh.
Skill 3
Primary mandate skill required – GCP Infra, Infrastructure as Code (IaC) using Terraform, DevOps, CI/CD pipelines, GKE
Secondary mandate skill required – Monitoring third-party solutions such as Prometheus and Grafana.
Level – SA/M
Flexible to hire in any location – yes pan India Shift time : 2 pm – 11 pm.
Notice – 30 Days
JD and Role Overview
We are seeking a highly skilled and experienced Senior Cloud and DevOps Engineer to join our team. The ideal candidate will have deep expertise in cloud infrastructure, DevOps practices, and automation, with a strong focus on Google Cloud Platform (GCP) and preferably Microsoft Azure. This role involves designing, implementing, monitoring, and maintaining scalable cloud environments and CI/CD pipelines to support mission-critical applications.
Key Responsibilities
Develop and maintain Infrastructure as Code (IaC) using Terraform.
Design and implement secure cloud networking solutions, including firewalls, WAFs, ingress/egress rules, and SSL termination.
Architect, deploy, and manage Kubernetes clusters, including setup of application components, ingress controllers, secrets management, and lifecycle maintenance.
Build and optimize CI/CD pipelines using GitHub Actions.
Monitor cloud infrastructure using native tools and third-party solutions such as Prometheus and Grafana.
Collaborate with cross-functional teams to support deployments and troubleshoot issues.
Participate in early morning or late evening calls to support global deployments and incident resolution whenever needed.
Required Qualifications
Proven experience with Google Cloud Platform (GCP); Azure experience is a strong plus.
Deep understanding of cloud infrastructure, networking concepts and security configurations.
Strong hands-on experience with Kubernetes cluster setup and management.
Proficiency in Terraform and GitHub Actions for automation and CI/CD.
Experience with cloud monitoring tools including Prometheus, Grafana, and native cloud solutions.
Excellent problem-solving skills and ability to work independently in a fast-paced environment.
Flexibility to work outside standard hours to support global operations.
Responsibilities
Skill 1 :
Level -SA& M
Location – Bangalore & Chennai
Notice – Immediate
Primary mandate skill required – GCP Cloud Infra and Solutions, Terraform, Platform CI/CD pipelines, GoogleCloud Resouce Deployment
Secondary mandate skill required – Scripting (Python, Bash),
Open to look at CWR’s – Yes
Flexible to hire in any location – Any Cognizant location
Detailed Job Description –
Senior Cloud Engineer to build and automate the core infrastructure for data and AI/ML platform on Google Cloud.
You will partner with a Senior Data Engineer to create a scalable, secure, and reliable foundation for services like BigQuery, Dataflow, and AI Platform.
Primary Responsibilities:
Design, build, and manage robust GCP infrastructure using Infrastructure as Code (Terraform, Deployment Manager).
Develop and maintain sophisticated CI/CD pipelines for the data platform using Cloud Build and Spinnaker.
Implement and optimize GCP Cloud Storage solutions to support massive datasets.
Automate infrastructure and operational workflows using Python and Bash.
Collaborate closely with data engineers to ensure seamless deployment and operation of data processing and machine learning workloads.
Required Skills:
Deep expertise in GCP infrastructure services.
Proven hands-on experience with IaC (Terraform strongly preferred).
Strong background in building and managing CI/CD pipelines (Cloud Build, Spinnaker).
Proficient scripting skills in Python and/or Bash.
Experience supporting large-scale data and analytics platforms is a major plus.
Relevant certifications (e.g., Google Cloud Certified - Professional Cloud DevOps Engineer, Professional Cloud Architect) are highly desirable.
Skill 2:
Primary mandate skill required – GCP Infra, Infrastructure as Code (IaC) using Terraform, DevOps, CI/CD pipelines, GKE
• Secondary mandate skill required – Monitoring Cloud Monitoring/ Cloud Logging, Anthos Service Mesh
• Flexible to hire in any location – Any Cogn
Level – SA/M
Notice – 30 Days
Detailed Job Description –
Kubernetes Platform: Hands-on experience with Google Kubernetes Engine (GKE).
Infrastructure as Code (IaC) & CI/CD: Very strong expertise in Terraform, Helm, Cloud Build, Cloud Source Repositories, and Artifact Registry.
GitOps: Strong experience in managing and architecting GitOps CI/CD workflows using Config Sync.
Monitoring & Observability: Strong proficiency with Google Cloud's operations suite, including Cloud Monitoring for creating and customizing metrics/dashboards, and Cloud Logging for log analysis.
Service Mesh: Development and working experience with Anthos Service Mesh lifecycle management, including configuring and troubleshooting applications deployed within the mesh.
Skill 3
Primary mandate skill required – GCP Infra, Infrastructure as Code (IaC) using Terraform, DevOps, CI/CD pipelines, GKE
Secondary mandate skill required – Monitoring third-party solutions such as Prometheus and Grafana.
Level – SA/M
Flexible to hire in any location – yes pan India Shift time : 2 pm – 11 pm.
Notice – 30 Days
JD and Role Overview
We are seeking a highly skilled and experienced Senior Cloud and DevOps Engineer to join our team. The ideal candidate will have deep expertise in cloud infrastructure, DevOps practices, and automation, with a strong focus on Google Cloud Platform (GCP) and preferably Microsoft Azure. This role involves designing, implementing, monitoring, and maintaining scalable cloud environments and CI/CD pipelines to support mission-critical applications.
Key Responsibilities
Develop and maintain Infrastructure as Code (IaC) using Terraform.
Design and implement secure cloud networking solutions, including firewalls, WAFs, ingress/egress rules, and SSL termination.
Architect, deploy, and manage Kubernetes clusters, including setup of application components, ingress controllers, secrets management, and lifecycle maintenance.
Build and optimize CI/CD pipelines using GitHub Actions.
Monitor cloud infrastructure using native tools and third-party solutions such as Prometheus and Grafana.
Collaborate with cross-functional teams to support deployments and troubleshoot issues.
Participate in early morning or late evening calls to support global deployments and incident resolution whenever needed.
Required Qualifications
Proven experience with Google Cloud Platform (GCP); Azure experience is a strong plus.
Deep understanding of cloud infrastructure, networking concepts and security configurations.
Strong hands-on experience with Kubernetes cluster setup and management.
Proficiency in Terraform and GitHub Actions for automation and CI/CD.
Experience with cloud monitoring tools including Prometheus, Grafana, and native cloud solutions.
Excellent problem-solving skills and ability to work independently in a fast-paced environment.
Flexibility to work outside standard hours to support global operations.
Salary : Rs. 10,00,000.0 - Rs. 20,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Azure DevOps Engineer
3 - 6 years
14 lacs
Description
• Design, implement, and manage CI/CD pipelines using Azure DevOps and GitHub Actions
• Manage and maintain Azure Kubernetes Service (AKS) and Amazon EKS
• Configure and integrate Azure Storage and AWS S3 with Kubernetes clusters
• Implement Infrastructure as Code using Terraform across Azure and AWS
• Monitor cloud infrastructure using DataDog, CloudWatch, and Kubernetes-native tools
• Set up and configure logging and monitoring using Prometheus, Grafana, and Fluentd
• Configure network and security policies for AKS, EKS, and other Kubernetes clusters
• Automate infrastructure provisioning and deployments using scripting languages (Shell, Bash, PowerShell)
• Debug and troubleshoot issues related to clusters, nodes, and pods
• Work with Postgres, DB2, and other database technologies
• Use Docker, Git, and Helm Charts for containerization and deployment
• Collaborate with cross-functional teams to ensure DevOps best practices are followed
Required Skills:
• Proven experience in Azure DevOps, AKS, CI/CD pipelines, Terraform, and Kubernetes
• Hands-on experience with AWS services such as EC2, S3, IAM, CloudFormation, CloudWatch, and EKS
• Strong knowledge of monitoring and logging tools: DataDog, CloudWatch, Prometheus, Grafana
• Experience with Docker, Git, Helm, and scripting languages
• Familiarity with networking and security policies in cloud-native environments
• Strong problem-solving, analytical, and communication skills
Responsibilities
Azure DevOps Engineer
3 - 6 years
14 lacs
Description
• Design, implement, and manage CI/CD pipelines using Azure DevOps and GitHub Actions
• Manage and maintain Azure Kubernetes Service (AKS) and Amazon EKS
• Configure and integrate Azure Storage and AWS S3 with Kubernetes clusters
• Implement Infrastructure as Code using Terraform across Azure and AWS
• Monitor cloud infrastructure using DataDog, CloudWatch, and Kubernetes-native tools
• Set up and configure logging and monitoring using Prometheus, Grafana, and Fluentd
• Configure network and security policies for AKS, EKS, and other Kubernetes clusters
• Automate infrastructure provisioning and deployments using scripting languages (Shell, Bash, PowerShell)
• Debug and troubleshoot issues related to clusters, nodes, and pods
• Work with Postgres, DB2, and other database technologies
• Use Docker, Git, and Helm Charts for containerization and deployment
• Collaborate with cross-functional teams to ensure DevOps best practices are followed
Required Skills:
• Proven experience in Azure DevOps, AKS, CI/CD pipelines, Terraform, and Kubernetes
• Hands-on experience with AWS services such as EC2, S3, IAM, CloudFormation, CloudWatch, and EKS
• Strong knowledge of monitoring and logging tools: DataDog, CloudWatch, Prometheus, Grafana
• Experience with Docker, Git, Helm, and scripting languages
• Familiarity with networking and security policies in cloud-native environments
• Strong problem-solving, analytical, and communication skills
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making.
EssentialSkills:
A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making. A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making.
Desirable Skills:
A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making. A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
C# DotNet Developer
3-6 years
14 lacs
Description
.NET / C# / SQL / SSIS Developer – Development & Operational Support
Work Hours: CET Business Hours
Job Summary:
We are looking for a versatile and experienced .NET / C# / SQL / SSIS Developer to support both development and operational activities. The role involves designing, developing, and maintaining enterprise applications and integrations, while also ensuring their stability, performance, and compliance. The ideal candidate will be comfortable working across development, support, and service management domains.
Key Responsibilities:
Development & Integration
Design, develop, and maintain applications using .NET (C#), SQL Server, and SSIS.
Build and optimize data integration workflows and ETL processes.
Develop and maintain APIs and web services for internal and external integrations.
Participate in code reviews, testing, and deployment activities.
Create and maintain technical documentation for applications and interfaces.
Operational Support & Monitoring
Monitor application health, logs, and performance during business hours.
Perform routine maintenance tasks including IIS server management and service restarts.
Manage installation, configuration, and updates of applications and services.
Ensure uptime and reliability through proactive monitoring and issue resolution.
Incident, Problem & Change Management
Handle incidents, problems, and changes using ITSM tools (e.g., ServiceNow).
Maintain and update support frameworks and access management records.
Coordinate with stakeholders to ensure timely resolution and communication.
Security & Compliance
Manage certificates, client secrets, and service accounts.
Execute security processes and ensure compliance with internal policies.
Support identity and access management (IAM) updates and audits.
Data & File Management
Monitor and troubleshoot file transfers and data flows across systems.
Support daily, monthly, and delta data processing tasks.
Ensure data integrity and consistency across platforms.
Service & Project Management
Maintain technical documentation and application landscape diagrams.
Use tools like LeanIX, Draw.io, and Confluence to document processes and interfaces.
Lead or support technical projects, upgrades, and migrations.
Establish and maintain a robust support framework for managed services.
Required Skills & Qualifications:
Proficiency in .NET (C#), SQL Server (T-SQL), and SSIS.
Experience with IIS server management and application deployment.
Familiarity with ITSM tools (e.g., ServiceNow) and enterprise architecture tools (e.g., LeanIX).
Strong understanding of API development, integration patterns, and data workflows.
Knowledge of security practices including certificate management and IAM.
Excellent troubleshooting, documentation, and communication skills.
Ability to work independently and collaboratively in a dynamic environment.
Responsibilities
C# DotNet Developer
3-6 years
14 lacs
Description
.NET / C# / SQL / SSIS Developer – Development & Operational Support
Work Hours: CET Business Hours
Job Summary:
We are looking for a versatile and experienced .NET / C# / SQL / SSIS Developer to support both development and operational activities. The role involves designing, developing, and maintaining enterprise applications and integrations, while also ensuring their stability, performance, and compliance. The ideal candidate will be comfortable working across development, support, and service management domains.
Key Responsibilities:
Development & Integration
Design, develop, and maintain applications using .NET (C#), SQL Server, and SSIS.
Build and optimize data integration workflows and ETL processes.
Develop and maintain APIs and web services for internal and external integrations.
Participate in code reviews, testing, and deployment activities.
Create and maintain technical documentation for applications and interfaces.
Operational Support & Monitoring
Monitor application health, logs, and performance during business hours.
Perform routine maintenance tasks including IIS server management and service restarts.
Manage installation, configuration, and updates of applications and services.
Ensure uptime and reliability through proactive monitoring and issue resolution.
Incident, Problem & Change Management
Handle incidents, problems, and changes using ITSM tools (e.g., ServiceNow).
Maintain and update support frameworks and access management records.
Coordinate with stakeholders to ensure timely resolution and communication.
Security & Compliance
Manage certificates, client secrets, and service accounts.
Execute security processes and ensure compliance with internal policies.
Support identity and access management (IAM) updates and audits.
Data & File Management
Monitor and troubleshoot file transfers and data flows across systems.
Support daily, monthly, and delta data processing tasks.
Ensure data integrity and consistency across platforms.
Service & Project Management
Maintain technical documentation and application landscape diagrams.
Use tools like LeanIX, Draw.io, and Confluence to document processes and interfaces.
Lead or support technical projects, upgrades, and migrations.
Establish and maintain a robust support framework for managed services.
Required Skills & Qualifications:
Proficiency in .NET (C#), SQL Server (T-SQL), and SSIS.
Experience with IIS server management and application deployment.
Familiarity with ITSM tools (e.g., ServiceNow) and enterprise architecture tools (e.g., LeanIX).
Strong understanding of API development, integration patterns, and data workflows.
Knowledge of security practices including certificate management and IAM.
Excellent troubleshooting, documentation, and communication skills.
Ability to work independently and collaboratively in a dynamic environment.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Work across the full stack development primarily in ASP.NET, React.js, SQL, building highly scalable distributed solutions that enable positive user experiences and measurable business growth.
• Develop new features and infrastructure in support of rapidly emerging business and project requirements.
• Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
• Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities, agile software development, including design, implementation, and deployment.
Required skills and qualifications
• 3 to 6 years of experience in building large-scale software applications.
• Experience in building web applications
• Experience in designing and integrating RESTful APIs
• Knowledge of C# ASP.NET, .Net Core, SQL, React, and JavaScript (Azure good to have)
• Excellent debugging and optimization skills
• Experience in unit/integration testing
Responsibilities
Work across the full stack development primarily in ASP.NET, React.js, SQL, building highly scalable distributed solutions that enable positive user experiences and measurable business growth.
• Develop new features and infrastructure in support of rapidly emerging business and project requirements.
• Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
• Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities, agile software development, including design, implementation, and deployment.
Required skills and qualifications
• 3 to 6 years of experience in building large-scale software applications.
• Experience in building web applications
• Experience in designing and integrating RESTful APIs
• Knowledge of C# ASP.NET, .Net Core, SQL, React, and JavaScript (Azure good to have)
• Excellent debugging and optimization skills
• Experience in unit/integration testing
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description: Security Administrator (Offshore)
Security Configuration and Maintenance: Configure and maintain security groups, domain, and business process security policies to ensure robust access control.
• Account Lifecycle Management: Oversee the creation, updating, and deactivation of user accounts, ensuring accurate and secure account management.
• Incident Management: Provide Level 2 support by managing and resolving security-related incidents efficiently.
• Emergency Access Management: Administer and monitor emergency access (Break Glass) procedures to ensure secure and controlled access during critical situations.
• Compliance and Training Support: Assist in compliance reviews and facilitate security training to promote adherence to security policies and standards.
• Access Management for Lower Environments: Manage and oversee access to lower environments, such as sandbox and implementation tenants, ensuring appropriate access controls are in place.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
