3 Ecs Fargate Jobs

You are a skilled AWS Engineer responsible for supporting the buildout and scaling of CodePulse, an internal engineering metrics platform. In this contract position for 36 months, your primary focus will be on implementing AWS infrastructure to facilitate high-throughput metric ingestion and analytics. You should have a proven track record of building scalable, event-driven systems using core AWS services such as ECS Fargate, SQS, API Gateway, RDS, S3, and Elasticache. Previous experience working on similar data processing or pipeline-based platforms will be advantageous. Your key responsibilities will include designing, implementing, and maintaining secure, auto-scaling AWS infrastructure for a container-based microservice application. You will be deploying ECS Fargate workloads to process messages from SQS queues and store results in RDS and S3. Additionally, setting up and optimizing CloudWatch alarms, logs, and metrics for system observability and alerting will be essential. Configuring and fine-tuning infrastructure components like SQS, SNS, API Gateway, RDS (PostgreSQL), ElastiCache (Redis), and S3 will also be part of your role. You will support integration with GitHub and Jira by securely handling API credentials, tokens, and webhook flows. Furthermore, writing and managing infrastructure-as-code using Terraform or AWS CDK, along with collaborating with internal engineers to troubleshoot issues, optimize performance, and manage deployment workflows will be crucial tasks. For this position, you should have at least 4-6 years of hands-on experience working as an AWS DevOps or Cloud Engineer. Your expertise should include deploying and scaling services using ECS Fargate, SQS, API Gateway, RDS (Postgres), and S3. Familiarity with Redis caching using Elasticache and experience in tuning cache strategies will be beneficial. A strong command of CloudWatch, including logs, alarms, and dashboard setup, is required. Proficiency in Terraform or AWS CDK for infrastructure automation, understanding of VPCs, IAM roles and policies, TLS, and secure communication patterns are key qualifications. Your demonstrated experience in building or supporting event-driven microservices in a production setting, ability to work independently in a remote, distributed team, and clear communication skills are essential. Preferred qualifications for this role include experience in building internal tools or platforms with metric processing, workflow orchestration, or CI/CD integration. Familiarity with GitHub Actions, Docker, and container image deployment via ECR, optimizing AWS infrastructure for cost efficiency, and auto-scaling under burst loads will be advantageous. Prior experience integrating with third-party APIs like GitHub, Jira, or ServiceNow would be a plus.,

As an AI Engineer at Telstra, you will play a crucial role in designing and developing intelligent backend services and frameworks to support AI-driven applications. Your responsibilities will involve collaborating with cross-functional teams to create scalable, cloud-native solutions that leverage large language models (LLMs) and contribute to the enhancement of internal AI frameworks. This position also presents opportunities for growth into broader full-stack and platform-level responsibilities. At Telstra, we offer a supportive work environment that includes access to a wide range of learning programs to help you enhance your skills. With a global presence across 22 countries, you will have opportunities to work in various locations where we operate. We also provide generous parental leave benefits, annual leave entitlements, paid sick leave, and relocation support options within India. Additionally, you will receive insurance benefits such as medical, accidental, and life insurance coverage. In your role, you will be responsible for building AI-powered backend services, contributing to the development of internal AI frameworks, and designing prompts for LLMs to ensure accurate responses. You will integrate with orchestration frameworks like LangChain and LangGraph, connect services to cloud-native AI platforms such as Azure OpenAI and AWS Bedrock, and deploy containerized or serverless microservices using AWS ECS Fargate and AWS Lambda. Collaboration with frontend engineers to support API integration into React-based user interfaces is also a key aspect of your role. You will be expected to write clean, maintainable, and testable code following internal standards, as well as participate in debugging, issue troubleshooting, documentation, code reviews, and internal knowledge sharing. To be successful in this role, you should have 3-6 years of overall experience and strong proficiency in Python for building scalable backend services. A deep understanding of prompt engineering, LLM interaction patterns, and hands-on experience with AI orchestration tools like LangChain and LangGraph are essential. Experience with containerized or serverless deployments on AWS, familiarity with Azure OpenAI and AWS Bedrock, and knowledge of Git, Docker, and CI/CD pipelines are also required. Strong problem-solving skills, the ability to work collaboratively in agile teams, and awareness of testing strategies and service virtualization techniques are important for this role. Desirable growth areas include knowledge of backend frameworks like Spring Boot (Java) and a willingness to learn and contribute to frontend development using React.js. Telstra values diversity and inclusion, and we actively seek individuals from various backgrounds and identities to enrich our team and work environment. We uphold a zero-tolerance policy for harassment and prioritize creating a safe and inclusive workplace for all employees. If you are passionate about sustainability and want to work for a company that values these principles, we encourage you to apply to join our team at Telstra. As part of the hiring process, background checks will be conducted, and flexibility in work arrangements is supported. We are committed to improving website accessibility and accommodating individuals who may require alternate formats for information or applications. For any accessibility issues or accommodation needs, please reach out to our Talent Acquisition team for assistance.,

**Position Overview:** We are seeking an experienced AWS Cloud Engineer with a robust background in Site Reliability Engineering (SRE). The ideal candidate will have 3 to 6 years of hands-on experience managing and optimizing AWS cloud environments with a strong focus on performance, reliability, scalability, and cost efficiency. **Key Responsibilities:** * Deploy, manage, and maintain AWS infrastructure, including EC2, ECS Fargate, EKS, RDS Aurora, VPC, Glue, Lambda, S3, CloudWatch, CloudTrail, API Gateway (REST), Cognito, Elasticsearch, ElastiCache, and Athena. * Implement and manage Kubernetes (K8s) clusters, ensuring high availability, security, and optimal performance. * Create, optimize, and manage containerized applications using Docker. * Develop and manage CI/CD pipelines using AWS native services and YAML configurations. * Proactively identify cost-saving opportunities and apply AWS cost optimization techniques. * Set up secure access and permissions using IAM roles and policies. * Install, configure, and maintain application environments including: * Python-based frameworks: Django, Flask, FastAPI * PHP frameworks: CodeIgniter 4 (CI4), Laravel * Node.js applications * Install and integrate AWS SDKs into application environments for seamless service interaction. * Automate infrastructure provisioning, monitoring, and remediation using scripting and Infrastructure as Code (IaC). * Monitor, log, and alert on infrastructure and application performance using CloudWatch and other observability tools. * Manage and configure SSL certificates with ACM and load balancing using ELB. * Conduct advanced troubleshooting and root-cause analysis to ensure system stability and resilience. **Technical Skills:** * Strong experience with AWS services: EC2, ECS, EKS, Lambda, RDS Aurora, S3, VPC, Glue, API Gateway, Cognito, IAM, CloudWatch, CloudTrail, Athena, ACM, ELB, ElastiCache, and Elasticsearch. * Proficiency in container orchestration and microservices using Docker and Kubernetes. * Competence in scripting (Shell/Bash), configuration with YAML, and automation tools. * Deep understanding of SRE best practices, SLAs, SLOs, and incident response. * Experience deploying and supporting production-grade applications in Python (Django, Flask, FastAPI), PHP (CI4, Laravel), and Node.js. * Solid grasp of CI/CD workflows using AWS services. * Strong troubleshooting skills and familiarity with logging/monitoring stacks.