Manage end-to-end e-commerce programs and projects.
Coordinate with Product, Technology, Operations, Marketing, and Business teams.
Track project timelines, risks, and deliverables.
Drive process improvements and operational efficiency.
Prepare project updates and reports for stakeholders.
Ensure successful execution of business initiatives.
Experience in e-commerce, retail, or technology projects.
Strong communication and stakeholder management skills.
Ability to manage multiple priorities and deliver results.
Knowledge of project management tools is preferred.
Responsibilities
Manage end-to-end e-commerce programs and projects.
Coordinate with Product, Technology, Operations, Marketing, and Business teams.
Track project timelines, risks, and deliverables.
Drive process improvements and operational efficiency.
Prepare project updates and reports for stakeholders.
Ensure successful execution of business initiatives.
Experience in e-commerce, retail, or technology projects.
Strong communication and stakeholder management skills.
Ability to manage multiple priorities and deliver results.
Knowledge of project management tools is preferred.
Salary : Rs. 6,00,000.0 - Rs. 8,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Area
CI/CD Platform Engineering (GitLab Runners, Build Systems, Kubernetes, Cloud Infrastructure)
Experience Level
7–9 Years only
Summary / Objective
We are seeking a highly skilled, hands-on Site Reliability Engineer (SRE) with strong expertise in CI/CD platforms, Kubernetes, cloud infrastructure, and build systems engineering. The ideal candidate will be responsible for designing, operating, automating, and optimizing scalable GitLab runner platforms and remote build execution systems across AWS and GCP environments.
Key Responsibilities
• Design, implement, and manage scalable GitLab Runner infrastructure across AWS and GCP environments using Kubernetes, ECS, and EC2 platforms.
• Build and maintain Infrastructure as Code (IaC) using Terraform and Terraform Enterprise for automated provisioning and platform standardization.
• Deploy, manage, and optimize Kubernetes-based runner platforms using Helm Charts, FluxCD, Kustomize, and Karpenter.
• Build, manage, and maintain CI/CD pipelines using GitLab CI, Fleeting plugins, Artifactory, and container registries.
• Develop and maintain custom AMIs using HashiCorp Packer and automated provisioning scripts.
• Administer and optimize remote build execution systems including Bazel, Soong, Buildbarn, CAS, dependency management, and hermetic build environments.
• Implement monitoring, observability, and reliability practices using Datadog Logs, Metrics, Events, CI Visibility, and SLO alerting.
• Manage container lifecycle operations including Docker image build, runtime optimization, and registry integrations.
• Automate operational workflows and platform tooling using Bash, Python, Go, and PowerShell scripting.
• Implement security and vulnerability management practices for Linux systems, containers, and CI/CD infrastructure.
• Troubleshoot complex L2/L3 platform, infrastructure, networking, and build system issues across distributed environments.
• Collaborate with global platform teams and engineering stakeholders to improve platform scalability, developer productivity, operational excellence, and cost optimization.
Required Skills
• Strong experience with Kubernetes (EKS, GKE, Autopilot)
• Hands-on expertise in AWS services (EKS, ECS, EC2, Lambda, EBS, EFS, FSX, S3, KMS)
• Experience with Terraform module development and Terraform Enterprise
• Strong knowledge of GitLab Runners, GitLab CI/CD, and Fleeting Runners
• Experience with Bazel, Buildbarn, Remote Build Execution, CAS, and gRPC
• Expertise in Docker, container runtimes, and container registries
• Experience with Datadog observability and CI Visibility tooling
• Strong Linux administration and troubleshooting skills
• Proficiency in scripting/programming using Bash, Python, Go, or PowerShell
• Experience with FluxCD, Helm Charts, and GitOps workflows
• Understanding of vulnerability management and platform security best practices
Responsibilities
Area
CI/CD Platform Engineering (GitLab Runners, Build Systems, Kubernetes, Cloud Infrastructure)
Experience Level
7–9 Years only
Summary / Objective
We are seeking a highly skilled, hands-on Site Reliability Engineer (SRE) with strong expertise in CI/CD platforms, Kubernetes, cloud infrastructure, and build systems engineering. The ideal candidate will be responsible for designing, operating, automating, and optimizing scalable GitLab runner platforms and remote build execution systems across AWS and GCP environments.
Key Responsibilities
• Design, implement, and manage scalable GitLab Runner infrastructure across AWS and GCP environments using Kubernetes, ECS, and EC2 platforms.
• Build and maintain Infrastructure as Code (IaC) using Terraform and Terraform Enterprise for automated provisioning and platform standardization.
• Deploy, manage, and optimize Kubernetes-based runner platforms using Helm Charts, FluxCD, Kustomize, and Karpenter.
• Build, manage, and maintain CI/CD pipelines using GitLab CI, Fleeting plugins, Artifactory, and container registries.
• Develop and maintain custom AMIs using HashiCorp Packer and automated provisioning scripts.
• Administer and optimize remote build execution systems including Bazel, Soong, Buildbarn, CAS, dependency management, and hermetic build environments.
• Implement monitoring, observability, and reliability practices using Datadog Logs, Metrics, Events, CI Visibility, and SLO alerting.
• Manage container lifecycle operations including Docker image build, runtime optimization, and registry integrations.
• Automate operational workflows and platform tooling using Bash, Python, Go, and PowerShell scripting.
• Implement security and vulnerability management practices for Linux systems, containers, and CI/CD infrastructure.
• Troubleshoot complex L2/L3 platform, infrastructure, networking, and build system issues across distributed environments.
• Collaborate with global platform teams and engineering stakeholders to improve platform scalability, developer productivity, operational excellence, and cost optimization.
Required Skills
• Strong experience with Kubernetes (EKS, GKE, Autopilot)
• Hands-on expertise in AWS services (EKS, ECS, EC2, Lambda, EBS, EFS, FSX, S3, KMS)
• Experience with Terraform module development and Terraform Enterprise
• Strong knowledge of GitLab Runners, GitLab CI/CD, and Fleeting Runners
• Experience with Bazel, Buildbarn, Remote Build Execution, CAS, and gRPC
• Expertise in Docker, container runtimes, and container registries
• Experience with Datadog observability and CI Visibility tooling
• Strong Linux administration and troubleshooting skills
• Proficiency in scripting/programming using Bash, Python, Go, or PowerShell
• Experience with FluxCD, Helm Charts, and GitOps workflows
• Understanding of vulnerability management and platform security best practices
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are seeking a highly skilled, hands-on Cloud Developer / Site Reliability Engineer (SRE) with strong expertise in AWS cloud infrastructure, Infrastructure as Code (IaC), Kubernetes, and DevOps platform administration.
The ideal candidate will be responsible for designing, deploying, automating, and operating highly available cloud environments while administering and maintaining critical DevOps platforms such as GitLab and JFrog Artifactory to support continuous delivery and engineering productivity.
7-9 Years only
Key Responsibilities
• Design, implement, and manage AWS-based cloud infrastructure for scalable, secure, and highly available applications.
• Develop and maintain Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation to ensure consistent, repeatable deployments.
• Deploy, manage, and operate Kubernetes clusters (Amazon EKS preferred), including networking, autoscaling, security, and lifecycle management.
• Develop and automate different using python / Go for deferent solution for cloud platform.
• Administer and manage GitLab (self-hosted), including upgrades, backup/restore, performance tuning, user access, runners, and security hardening.
• Administer and manage JFrog Artifactory (self-hosted), including repository configuration, access control, storage management, upgrades, and integrations with CI/CD pipelines.
• Implement and promote SRE practices, including continuous monitoring, alerting, incident management, root cause analysis, and reliability improvements.
• Perform troubleshooting and problem resolution across Linux-based environments, cloud infrastructure, and CI/CD platforms.
• Collaborate with development, platform, and security teams to improve system reliability, deployment velocity, and operational excellence.
Required Skills & Technical E xpertise
Cloud Platforms
• AWS (Primary)
• GCP (Secondary / Nice to have)
Infrastructure & Automation
• Infrastructure as Code: Terraform
• Configuration Management: Ansible
Scripting & Programming (Must have)
• Python
• Go
• Shell scripting
• Bazel
Containers & Orchestration
• Docker
• Kubernetes (EKS preferred)
• Helm
• Kubernetes manifests
CI/CD & DevOps Platforms
• GitLab (Self-hosted administration & CI/CD pipelines)
• JFrog Artifactory (Self-hosted administration)
• AWS CodePipeline
Monitoring & Observability
• Prometheus
• Grafana
• OpenSearch
• Datadog
Nice to Have
• Experience implementing SLOs, SLIs, and error budgets
• Knowledge of cloud security and compliance best practices
• Experience with multi-cloud or hybrid environments
Responsibilities
We are seeking a highly skilled, hands-on Cloud Developer / Site Reliability Engineer (SRE) with strong expertise in AWS cloud infrastructure, Infrastructure as Code (IaC), Kubernetes, and DevOps platform administration.
The ideal candidate will be responsible for designing, deploying, automating, and operating highly available cloud environments while administering and maintaining critical DevOps platforms such as GitLab and JFrog Artifactory to support continuous delivery and engineering productivity.
7-9 Years only
Key Responsibilities
• Design, implement, and manage AWS-based cloud infrastructure for scalable, secure, and highly available applications.
• Develop and maintain Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation to ensure consistent, repeatable deployments.
• Deploy, manage, and operate Kubernetes clusters (Amazon EKS preferred), including networking, autoscaling, security, and lifecycle management.
• Develop and automate different using python / Go for deferent solution for cloud platform.
• Administer and manage GitLab (self-hosted), including upgrades, backup/restore, performance tuning, user access, runners, and security hardening.
• Administer and manage JFrog Artifactory (self-hosted), including repository configuration, access control, storage management, upgrades, and integrations with CI/CD pipelines.
• Implement and promote SRE practices, including continuous monitoring, alerting, incident management, root cause analysis, and reliability improvements.
• Perform troubleshooting and problem resolution across Linux-based environments, cloud infrastructure, and CI/CD platforms.
• Collaborate with development, platform, and security teams to improve system reliability, deployment velocity, and operational excellence.
Required Skills & Technical E xpertise
Cloud Platforms
• AWS (Primary)
• GCP (Secondary / Nice to have)
Infrastructure & Automation
• Infrastructure as Code: Terraform
• Configuration Management: Ansible
Scripting & Programming (Must have)
• Python
• Go
• Shell scripting
• Bazel
Containers & Orchestration
• Docker
• Kubernetes (EKS preferred)
• Helm
• Kubernetes manifests
CI/CD & DevOps Platforms
• GitLab (Self-hosted administration & CI/CD pipelines)
• JFrog Artifactory (Self-hosted administration)
• AWS CodePipeline
Monitoring & Observability
• Prometheus
• Grafana
• OpenSearch
• Datadog
Nice to Have
• Experience implementing SLOs, SLIs, and error budgets
• Knowledge of cloud security and compliance best practices
• Experience with multi-cloud or hybrid environments
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Site Reliability Engineer (SRE) – Cloud Developer Engineer Sr
We are seeking a highly skilled, hands-on Cloud Developer / Site Reliability Engineer (SRE) with strong expertise in AWS cloud infrastructure, Infrastructure as Code (IaC), Kubernetes, and DevOps platform administration.
The ideal candidate will be responsible for designing, deploying, automating, and operating highly available cloud environments while administering and maintaining critical DevOps platforms such as GitLab and JFrog Artifactory to support continuous delivery and engineering productivity.
Experience Level
3-6 Years only
Key Responsibilities
• Design, implement, and manage AWS-based cloud infrastructure for scalable, secure, and highly available applications.
• Develop and maintain Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation to ensure consistent, repeatable deployments.
• Deploy, manage, and operate Kubernetes clusters (Amazon EKS preferred), including networking, autoscaling, security, and lifecycle management.
• Develop and automate different using python / Go for deferent solution for cloud platform.
• Administer and manage GitLab (self-hosted), including upgrades, backup/restore, performance tuning, user access, runners, and security hardening.
• Administer and manage JFrog Artifactory (self-hosted), including repository configuration, access control, storage management, upgrades, and integrations with CI/CD pipelines.
• Implement and promote SRE practices, including continuous monitoring, alerting, incident management, root cause analysis, and reliability improvements.
• Perform troubleshooting and problem resolution across Linux-based environments, cloud infrastructure, and CI/CD platforms.
• Collaborate with development, platform, and security teams to improve system reliability, deployment velocity, and operational excellence.
Required Skills & Technical E xpertise
Cloud Platforms
• AWS (Primary)
• GCP (Secondary / Nice to have)
Infrastructure & Automation
• Infrastructure as Code: Terraform
• Configuration Management: Ansible
Scripting & Programming (Must have)
• Python
• Go
• Shell scripting
• Bazel
Containers & Orchestration
• Docker
• Kubernetes (EKS preferred)
• Helm
• Kubernetes manifests
CI/CD & DevOps Platforms
• GitLab (Self-hosted administration & CI/CD pipelines)
• JFrog Artifactory (Self-hosted administration)
• AWS CodePipeline
Monitoring & Observability
• Prometheus
• Grafana
• OpenSearch
• Datadog
Nice to Have
• Experience implementing SLOs, SLIs, and error budgets
• Knowledge of cloud security and compliance best practices
• Experience with multi-cloud or hybrid environments
Responsibilities
We are seeking a highly skilled, hands-on Cloud Developer / Site Reliability Engineer (SRE) with strong expertise in AWS cloud infrastructure, Infrastructure as Code (IaC), Kubernetes, and DevOps platform administration.
The ideal candidate will be responsible for designing, deploying, automating, and operating highly available cloud environments while administering and maintaining critical DevOps platforms such as GitLab and JFrog Artifactory to support continuous delivery and engineering productivity.
Experience Level
3-6 Years only
Key Responsibilities
• Design, implement, and manage AWS-based cloud infrastructure for scalable, secure, and highly available applications.
• Develop and maintain Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation to ensure consistent, repeatable deployments.
• Deploy, manage, and operate Kubernetes clusters (Amazon EKS preferred), including networking, autoscaling, security, and lifecycle management.
• Develop and automate different using python / Go for deferent solution for cloud platform.
• Administer and manage GitLab (self-hosted), including upgrades, backup/restore, performance tuning, user access, runners, and security hardening.
• Administer and manage JFrog Artifactory (self-hosted), including repository configuration, access control, storage management, upgrades, and integrations with CI/CD pipelines.
• Implement and promote SRE practices, including continuous monitoring, alerting, incident management, root cause analysis, and reliability improvements.
• Perform troubleshooting and problem resolution across Linux-based environments, cloud infrastructure, and CI/CD platforms.
• Collaborate with development, platform, and security teams to improve system reliability, deployment velocity, and operational excellence.
Required Skills & Technical E xpertise
Cloud Platforms
• AWS (Primary)
• GCP (Secondary / Nice to have)
Infrastructure & Automation
• Infrastructure as Code: Terraform
• Configuration Management: Ansible
Scripting & Programming (Must have)
• Python
• Go
• Shell scripting
• Bazel
Containers & Orchestration
• Docker
• Kubernetes (EKS preferred)
• Helm
• Kubernetes manifests
CI/CD & DevOps Platforms
• GitLab (Self-hosted administration & CI/CD pipelines)
• JFrog Artifactory (Self-hosted administration)
• AWS CodePipeline
Monitoring & Observability
• Prometheus
• Grafana
• OpenSearch
• Datadog
Nice to Have
• Experience implementing SLOs, SLIs, and error budgets
• Knowledge of cloud security and compliance best practices
• Experience with multi-cloud or hybrid environments
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Summary: We are seeking a highly skilled and innovative Technical Engineer to join our
embedded software development team. This role will focus on designing, developing, and
integrating robust software solutions for automotive ECUs, with a strong emphasis on model-based development and the integration of Artificial Intelligence (AI) components into safety-critical systems. You will be instrumental in driving the technical implementation of cutting-edge features and ensuring the highest standards of software quality and safety.
Key Responsibilities:
• Design, develop, and implement embedded software for automotive control units using C,
• Embedded C, and C++.
• Apply model-based design methodologies for software development, including the
• integration and deployment of AI/ML models.
• Conduct static code analysis using tools like ASTREE, POLYSPACE, or Coverity to ensure
• code quality and adherence to standards.
• Develop and execute comprehensive code validation and verification strategies, including
• unit testing and integration testing.
• Contribute to the architecture and design of embedded software systems, ensuring
• scalability, performance, and safety (ISO26262).
• Utilize Python for scripting, automation, and data analysis in the development and testing
• processes.
• Work with AUTOSAR components (C-S, S-R, RTE, Signals, BSW) and integrate both
• AUTOSAR and non-AUTOSAR/legacy software.
• Participate in software build, integration, and release management activities within a
• CI/CD pipeline.
• Research and implement innovative approaches to integrate AI into embedded software
• development processes and products.
• Ensure compliance with ISO26262 for software quality, criticality, and tool qualification.
Mandatory Requirements:
• Proven experience in embedded software development and architecture.
• Expertise in static code analysis tools (e.g., ASTREE, POLYSPACE, Coverity).
• Strong proficiency in C and Embedded C programming (C99 standards).
• Strong proficiency in C++ (11 or higher) is required.
• In-depth knowledge of ISO26262 for software quality and criticality.
• Solid understanding of code validation and verification concepts and practices.
• Proficient in Python programming with an Object-Oriented Programming (OOP) approach.
• Comprehensive knowledge of AUTOSAR architecture and functionality (C-S, S-R, RTE,
• Signals, components, BSW), as well as experience with non-AUTOSAR and legacy
• software.
• Experience with various testing frameworks and methodologies.• Understanding of software build processes, integration, CI/CD pipelines, and release
• management flows.
• Demonstrated experience as an AI Engineer with a strong background in model-based
• development, specifically integrating AI/ML models into embedded systems.
• Knowledge of the AI/ML development lifecycle, including model training, deployment, and
• validation for embedded applications.
• Experience with tools and techniques for deploying AI models on resource-constrained embedded platforms.
Preferred Skills (Good to Have):
• Knowledge of MATLAB and its environment for model-based design.
• Experience with software qualification and tool qualification processes according to ISO26262.
• Familiarity with code coverage analysis, unit testing frameworks, and efficient software release practices.
• Understanding of control flow analysis (pre-behavior, main-behavior, post-behavior) of software.
• Automotive domain experience and knowledge of ECUs.
• Innovative mindset with a passion for integrating AI into automotive software development.
Education & Experience :
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Extensive experience (e.g., 7+ years) in embedded software development, with a
• Proven track record of successfully delivering complex embedded software projects in
the automotive industry.
Responsibilities
Role Summary: We are seeking a highly skilled and innovative Technical Engineer to join our
embedded software development team. This role will focus on designing, developing, and
integrating robust software solutions for automotive ECUs, with a strong emphasis on model-based development and the integration of Artificial Intelligence (AI) components into safety-critical systems. You will be instrumental in driving the technical implementation of cutting-edge features and ensuring the highest standards of software quality and safety.
Key Responsibilities:
• Design, develop, and implement embedded software for automotive control units using C,
• Embedded C, and C++.
• Apply model-based design methodologies for software development, including the
• integration and deployment of AI/ML models.
• Conduct static code analysis using tools like ASTREE, POLYSPACE, or Coverity to ensure
• code quality and adherence to standards.
• Develop and execute comprehensive code validation and verification strategies, including
• unit testing and integration testing.
• Contribute to the architecture and design of embedded software systems, ensuring
• scalability, performance, and safety (ISO26262).
• Utilize Python for scripting, automation, and data analysis in the development and testing
• processes.
• Work with AUTOSAR components (C-S, S-R, RTE, Signals, BSW) and integrate both
• AUTOSAR and non-AUTOSAR/legacy software.
• Participate in software build, integration, and release management activities within a
• CI/CD pipeline.
• Research and implement innovative approaches to integrate AI into embedded software
• development processes and products.
• Ensure compliance with ISO26262 for software quality, criticality, and tool qualification.
Mandatory Requirements:
• Proven experience in embedded software development and architecture.
• Expertise in static code analysis tools (e.g., ASTREE, POLYSPACE, Coverity).
• Strong proficiency in C and Embedded C programming (C99 standards).
• Strong proficiency in C++ (11 or higher) is required.
• In-depth knowledge of ISO26262 for software quality and criticality.
• Solid understanding of code validation and verification concepts and practices.
• Proficient in Python programming with an Object-Oriented Programming (OOP) approach.
• Comprehensive knowledge of AUTOSAR architecture and functionality (C-S, S-R, RTE,
• Signals, components, BSW), as well as experience with non-AUTOSAR and legacy
• software.
• Experience with various testing frameworks and methodologies.• Understanding of software build processes, integration, CI/CD pipelines, and release
• management flows.
• Demonstrated experience as an AI Engineer with a strong background in model-based
• development, specifically integrating AI/ML models into embedded systems.
• Knowledge of the AI/ML development lifecycle, including model training, deployment, and
• validation for embedded applications.
• Experience with tools and techniques for deploying AI models on resource-constrained embedded platforms.
Preferred Skills (Good to Have):
• Knowledge of MATLAB and its environment for model-based design.
• Experience with software qualification and tool qualification processes according to ISO26262.
• Familiarity with code coverage analysis, unit testing frameworks, and efficient software release practices.
• Understanding of control flow analysis (pre-behavior, main-behavior, post-behavior) of software.
• Automotive domain experience and knowledge of ECUs.
• Innovative mindset with a passion for integrating AI into automotive software development.
Education & Experience :
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Extensive experience (e.g., 7+ years) in embedded software development, with a
• Proven track record of successfully delivering complex embedded software projects in
the automotive industry.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Technical Engineer - Embedded / Model-Based Development (AI Focus)
In this role, you will be responsible for:
Primary:
Migration of application/workload from On Prem to Public Cloud like AWS.
Develop comprehensive cloud migration strategies in collaboration with stakeholders.
Design, develop, implement highly available & scalable, cloud solutions within AWS.
Execute migration plans, monitor processes, and troubleshoot issues.
Manage and administer the migrated AWS cloud environment, including provisioning, configuration.
Ensuring security and compliance of migrated workloads on Cloud.
Hands on experience on AWS Services like EKS, EC2, VPC, Networking (Direct Connect, VPN), Load balancers, Subnet, Gateways, Route tables, Firewalls, DNS, Storage solutions.
Hands on experience in implementing logging and monitoring solutions like AWS Cloud watch, Grafana, ELK.
Hands on experience in Docker & Kubernetes.
Automating the migration scripts and CI/CD pipelines.
Knowledge on Databases like DB2 & PostgreSQL.
Ensure all infrastructure components meet proper performance and capacity standards.
Creation of documentation on each step of migration process of all the components.
Train the team on the required technologies.
Lead the upskilling program within the team.
Secondary:
AWS Certified Solution Architects or Developers or DevOps Engineers.
Experience with IAAC tools like terraform.
Experience on Azure and Azure DevOps.
Coordination with different IT stakeholders as and when needed.
Suggestion and Implementation of further tool chains towards DevOps and Cloud Solutions.
Responsible to train the peer colleagues.
Responsibilities
In this role, you will be responsible for:
Primary:
Migration of application/workload from On Prem to Public Cloud like AWS.
Develop comprehensive cloud migration strategies in collaboration with stakeholders.
Design, develop, implement highly available & scalable, cloud solutions within AWS.
Execute migration plans, monitor processes, and troubleshoot issues.
Manage and administer the migrated AWS cloud environment, including provisioning, configuration.
Ensuring security and compliance of migrated workloads on Cloud.
Hands on experience on AWS Services like EKS, EC2, VPC, Networking (Direct Connect, VPN), Load balancers, Subnet, Gateways, Route tables, Firewalls, DNS, Storage solutions.
Hands on experience in implementing logging and monitoring solutions like AWS Cloud watch, Grafana, ELK.
Hands on experience in Docker & Kubernetes.
Automating the migration scripts and CI/CD pipelines.
Knowledge on Databases like DB2 & PostgreSQL.
Ensure all infrastructure components meet proper performance and capacity standards.
Creation of documentation on each step of migration process of all the components.
Train the team on the required technologies.
Lead the upskilling program within the team.
Secondary:
AWS Certified Solution Architects or Developers or DevOps Engineers.
Experience with IAAC tools like terraform.
Experience on Azure and Azure DevOps.
Coordination with different IT stakeholders as and when needed.
Suggestion and Implementation of further tool chains towards DevOps and Cloud Solutions.
Responsible to train the peer colleagues.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
