Job Title: Lead AWS Cloud EngineerKey responsibilities:• Design, implement and maintain secure, scalable and highly available cloud infrastructure on AWS.• Create and maintain Infrastructure as Code (IaC) solutions using Terraform and industry best practices.• Automate infrastructure provisioning, configuration management and deployment processes.• Drive DevOps culture and automation across development and operations teams.• Design, implement and maintain CI/CD pipelines to enable reliable and frequent releases.• Collaborate with Software Engineers, Technical Leads and Architects to define cloud-native solutions and deployment strategies.• Implement and maintain monitoring, observability, alerting and logging solutions across all environments.• Ensure platform reliability, performance, scalability and operational excellence.• Support incident management, root cause analysis and continuous improvement activities.• Implement and maintain cloud security best practices including IAM, network security, secrets management and compliance controls.• Optimise cloud resource utilisation and contribute to FinOps initiatives to improve cost efficiency.• Define and document cloud architecture, technical designs, operational procedures and runbooks.• Collaborate with product and engineering teams to ensure environments are aligned with delivery needs.• Contribute to platform standardisation, reusable tooling and engineering governance initiatives.• Foster a culture of continuous learning through knowledge sharing, workshops and technical mentoring.• Delivery. Build and maintain reliable cloud platforms according to engineering standards.• Code Quality. Follow and improve Infrastructure as Code and automation standards.• Analyse & Estimate. Assess infrastructure requirements, technical risks and implementation effort.• Software & Infrastructure Design. Create and review cloud architecture designs and infrastructure solutions. Requirements • Strong experience with AWS services including EC2, ECS, EKS, Lambda, API Gateway, CloudFront, Route53, S3, RDS, DynamoDB, IAM, Secrets Manager, KMS, CloudWatch and Systems Manager (SSM). • Strong experience designing, implementing and operating cloud-native architectures on AWS. • Strong experience with Infrastructure as Code (IaC) using Terraform, reusable modules and infrastructure automation. • Strong experience with containerisation technologies including Docker and Kubernetes. • Strong experience implementing and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins or similar platforms. • Strong experience with source control management and Git-based development workflows. • Strong experience with observability platforms including CloudWatch, Datadog, Grafana, Prometheus, Splunk and ELK. • Strong experience with monitoring, alerting, log aggregation, distributed tracing and application performance monitoring. • Strong experience implementing operational excellence practices including SLI, SLO and SLA management. • Strong experience troubleshooting production incidents, performing root cause analysis and driving preventative measures. • Good experience with Linux administration, networking and system troubleshooting. • Good experience with networking concepts including DNS, TCP/IP, VPN, CDN, Load Balancers, Reverse Proxies and TLS/SSL certificates. • Good experience with AWS networking services including VPC, Transit Gateway, Security Groups, Network ACLs, Route Tables, NAT Gateways and PrivateLink. • Good experience developing automation solutions using Python, Bash or similar technologies. • Strong knowledge of cloud security best practices including IAM, RBAC, least-privilege access, encryption, secrets management and vulnerability remediation. • Strong experience with AWS Security Hub, compliance frameworks and security remediation activities. • Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines. • Experience evaluating and integrating cloud security tooling for vulnerability assessments, penetration testing and threat modelling. • Experience supporting microservices and distributed architectures in production environments. • Experience implementing high-availability, disaster recovery and business continuity solutions. • Strong experience with cloud cost optimisation, FinOps practices and cloud consumption governance. • Experience using Cloudability or similar cloud financial management platforms to drive cloud visibility, optimisation and reporting. • Experience defining and implementing cloud tagging strategies, governance standards and operational compliance controls. • Experience designing and implementing automated remediation workflows. • Experience creating operational dashboards, alerting frameworks, reliability metrics and engineering KPIs. • Experience driving cloud migration initiatives, account onboarding and AWS platform transformations. • Experience building reusable platform components, self-service capabilities and developer enablement tooling. • Experience creating technical solution designs, architecture diagrams, operational runbooks and engineering documentation. • Strong understanding of cloud platform services as both a producer and consumer. • Strong understanding of release management, deployment strategies and environment management. • Strong experience with Agile delivery methodologies and engineering tooling including Jira, Confluence and GitHub. • DevOps as a mindset. • Customer-centric, passionate about delivering reliable digital platforms and services. • Demonstrating a true engineering craftsmanship mindset. • Passionate about continuous improvement, collaboration and great teams. • Strong problem-solving skills coupled with excellent communication skills. • Open-minded, inquisitive, life-long learner. • Comfortable with ambiguity and highly autonomous. Nice To Have: • AWS Certified Solutions Architect Associate or Professional. • AWS Certified SysOps Administrator Associate. • Experience with Internal Developer Platforms (IDP) and Platform Engineering practices. • Experience with Service Mesh technologies such as Istio or Linkerd. • Experience with event streaming platforms such as Kafka. • Experience with AI-assisted infrastructure operations and cloud automation. Benefits: • Flexible work hours • Remote work options • Professional development oppertunities • Collaborative and supportive work environmentSourced from naukri
