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popular AI tools to accelerate workload Desired Tools: CI/CD tools: Gitlab, Nexus Managed Artifacts, AWS: AWS EKS, EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS More ❯

of API Design, testing, development and management Tools: CI/CD tools: Gitlab, Nexus Managed Artifacts, AWS: AWS EKS, EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS More ❯

version control systems (e.g., Git), and agile methodologies. Experience with API development (RESTful APIs, JSON, Swagger) and integration with third-party services. Familiarity with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK stack). Knowledge of database technologies (SQL, NoSQL, Graph databases) and cloud-based databases (e.g., DynamoDB, CosmosDB). Experience with application security best practices (e.g., SIEM, secure More ❯

Hands-on experience in implementing and managing backup, recovery, and disaster recovery strategies to ensure data protection and business continuity] Ability to implement robust monitoring and logging solutions e.g., CloudWatch, to ensure system reliability, observability, and proactive incident response Comfortable working in Agile development teams, translating business requirements into technical solutions, and actively participating in sprint planning, retrospectives, and More ❯

in a technical support, DevOps, or infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time or mission-critical systems (security, IoT More ❯

in a technical support, DevOps, or infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time or mission-critical systems (security, IoT More ❯

SonarQube, JaCoCO, Selenium, Cucumber, JMeter, Mocha, PyTest, CHEF, Locust, GitHub, GitLab, Bitbucket, Terraform, Gitlab Runner, Jenkins, AWS CodePipeline, NPM, Yarn, AWS CodeBuild, AWS OpsWorks, AWS CloudFormation, AWS CodeDeploy, Splunk, Amazon Cloudwatch, AppDynamics, Amazon Kinesis Analytics, Power BI, Matomo, Mouseflow, Nginix, Ansible, Docker, jFrog Artifactory, and jFrog Xray. More ❯

/CD pipelines, and Docker. Scripting and automation experience (bash, PowerShell, Python) and configuration management tools (Ansible, Puppet, or Chef). Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, and Grafana. Certified AWS Solutions Architect Associate (or equivalent experience). Strong knowledge of Linux and Windows security features and network engineering in cloud environments. Flexibility to travel More ❯

/CD pipelines, and Docker. Scripting and automation experience (bash, PowerShell, Python) and configuration management tools (Ansible, Puppet, or Chef). Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, and Grafana. Certified AWS Solutions Architect Associate (or equivalent experience). Strong knowledge of Linux and Windows security features and network engineering in cloud environments. Flexibility to travel More ❯

the delivery lifecycle. You’ll also play a key role in the migration from Kubernetes to serverless architectures. Essential Skills: Active SC Clearance Strong AWS DevSecOps experience (Lambda, S3, CloudWatch, Athena, IAM, RDS) CI/CD: GitLab, GitHub Actions/Enterprise IaC: Terraform Scripting: Python Event-driven architecture: Kafka AWS networking (VPC, subnets, routing) WAF configuration/security assessment More ❯

routine tasks and workflows using scripting languages (e.g., Python, Bash) and orchestration tools (e.g., AWS Systems Manager, Lambda functions). Implement robust monitoring and logging solutions using services like CloudWatch, CloudTrail, Trusted Advisor, and customer provided tools to ensure system health, performance, and security. Optimize the performance and scalability of AWS resources to meet application demands Maintain comprehensive documentation More ❯

as code (IAC) using Terraform. • Experience with container orchestration with Kubernetes and Docker. • Hands-on experience implementing AWS components such as: Lambda, IAM, Load Balancers, RDS, Cloudformation, S3, EC2, CloudWatch, CloudTrail, Sagemaker. • Experience enforcing cloud security practices including configuring encryption, implementing VPC endpoint policies, bucket policies, and locking down security groups. • Demonstrated, hands-on technical experience in Network and More ❯

with a strong focus on cloud infrastructure. Deep understanding of Linux systems, networking, and distributed architectures. Strong experience with AWS services (e.g., EC2, ECS/EKS, VPC, IAM, RDS, CloudWatch). Proficiency in infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience designing and building resilient systems that can scale across multiple environments and tenants. Experience running and operating More ❯

Qualifications What we’d love you to bring: Experience of AWS (particularly EC2, EKS, Lambda, S3, IAM, etc) Monitoring/alerting tools (for example we use Grafana, Prometheus, Loki, CloudWatch and Dynatrace) Knowledge of monitoring best practices for a variety of different platforms and technologies Docker and Kubernetes Git/Gitlab Jenkins/CI/CD/ArgoCD Jira More ❯

applications, including Git-based workflows and containerization/orchestration using Docker, ECS, GKE, or Kubernetes Platform and Architecture Skills Solid understanding of platform engineering concepts including observability, monitoring tools (CloudWatch, Prometheus, Grafana), and automated scaling Proven experience designing and supporting multi-tenant SaaS data platforms with strategies for data partitioning, tenant isolation, and cost management Exposure to real-time More ❯

in software or cloud engineering, including 5+ years designing and operating workloads on AWS. Deep expertise with AWS core services: VPC, IAM, ECS/EKS, Lambda, RDS, S3, KMS, CloudWatch, Security Hub, and Control Tower. Strong background in Infrastructure as Code (IaC) using Terraform-modules, state management, and CI-driven deployments. Experience provisioning, tuning, and maintaining AWS RDS (SQL More ❯

Zscalar is preferrable Solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing, etc.). Proficient with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway, VPN and more. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Experience in managing More ❯

Zscalar is preferrable Solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing, etc.). Proficient with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway, VPN and more. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Experience in managing More ❯

Requirements: 3+ years of relevant DevOps experience Experience managing Elastic Load Balancers (ELBs) and auto-scale groups with AWS EC2 Experience setting up alarms, dashboards, and alerts with AWS CloudWatch Experience managing files and permissions in AWS S3 Experience building Infrastructure as Code (IaC) with AWS CloudFormation using YAML templates Strong Linux troubleshoots skills Bash scripting experience Ability to More ❯

practices. • Continuous Integration/Delivery/Deployment Pipelines (GitLab CI) • Linux (RHEL/CentOS, Ubuntu) • Containerisation (Docker) and Container Orchestration Systems (Elastic Kubernetes Service) • Continuous inspection (Sonarqube, Wiz) • Logging (CloudWatch, CloudTrail, Splunk) • Monitoring (Prometheus, Grafana) #LI-DT1 Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here More ❯

What we’d love you to bring: Deep experience of AWS (particularly EC2, EKS, Lambda, S3, IAM, etc) Monitoring/alerting tools (for example we use Grafana, Prometheus, Loki, CloudWatch and Dynatrace) SME on monitoring best practices for a variety of different platforms and technologies Docker and Kubernetes Git/Gitlab Jenkins/CI/CD/ArgoCD Jira More ❯

tools: Vault, Artifactory, Docker, GitHub, Jenkins, Maven and SonarQube. Strong background in CI/CD pipeline design (GitHub Actions and Jenkins). Containerisation with Docker. Monitoring and alerting using CloudWatch and SNS. Solid AWS networking knowledge: VPCs, subnets, routing, security groups, load balancing and Route 53. Automation skills with Python, Bash or PowerShell. Git version control expertise (GitHub/ More ❯

on 3 days home) Tech Skills: • Proficiency in Python and Java or C++ • Experience deploying and maintaining software in Kubernetes • Experience with AWS services such as Lambda, ECS, EKS, CloudWatch, S3, EFS/EBS, EC2, and RDS • Strong knowledge of containerized applications and serverless architecture • Strong knowledge of designing, analyzing, and troubleshooting APIs services, distributed NoSQL and relational databases More ❯

queries, and integrations • Integrate messaging and event patterns using Kafka/SNS/SQS • Ship on AWS (e.g., EC2, S3, EKS, OpenSearch/Elasticsearch, KMS, DynamoDB, Route 53, Lambda, CloudWatch/CloudTrail, Glacier) • Containerize and deploy on Kubernetes; implement CI/CD with Jenkins and GitHub • Collaborate in a pragmatic DevOps culture, document in Confluence and coordinate via Slack More ❯

with AWS cloud supported programming languages like Javascript, Node JS, React JS, Angular JS or Python development. 2+ years hands-on with AWS Lambda, SNS/SQS, S3, IAM, CloudWatch, EC2, RDS and DynamoDB, AWS CLI Ability to use or learn: KMS, ALB/ELB, Route 53, VPC Fluency with CI/CD toolsets such as: Jenkins, Ansible, CloudFormation More ❯