Lead Systems Engineer

Lead Systems EngineerMinimum of 10 years of IT experience of which at least 5 years must be in AWS Cloud Platform engineering and Administration. Strong Leadership experience with driving Transformation initiatives. 3-5 years of experience in a Site Reliability Engineering role. Experience with SRE principles and transformation. 3+ years of experience with Containerization (Kubernetes), Cloud technologies (AWS, Azure etc.), DevOps tool chain (Ansible, Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.) Solid understanding of Software coding techniques and experience with full spectrum of Software engineering (Build, Integration, Test, Releasing and Deployment) leveraging Python. Experience in Developing and/or challenging engineering solutions/practices and collaborating with peers within and outside of immediate team, including customers (Dev, Architects, Engineers) Platform Engineering Lead with Hands -on Experience: Building robust Middleware Environments Previous Linux System administration is required. Must have strong hands-on knowledge of AWS platform and services but not limited to VPC, Networking, Direct Connect, Subnets, NACLs, Security Groups, EC2, S3, IAM, ELBs, Lambda, CloudWatch, CloudTrail, EKS etc. Must Have Hands on current Implementation and Production level experience in AWS Cloud. Hands on experience with Automation and Infrastructure Provisioning is a must –Our goal is to only provision infrastructure with Code, and Policy As Code. Must be familiar with Terraform automation, Ansible playbooks, and Python code. Experience with AWS Cloud Formation and CDK is required. Must have hands on experience in writing Lambda functions preferably in Python (Boto3). Must be well versed in writing Linux Bash scripts. Minimum of One AWS certification is required. Hands-on experience with Containerization and Amazon EKS is a big plus. A great understanding of various DevOps toolchains, including Git/repo, Crucible, Jenkins etc. Solid understanding and experience with a CI/CD tool chain.10+ years of overall experience in IT including hands-on Development and Systems engineering background. Bachelor's degree in computer science, Information Technology, or related field; master's degree preferred. [5-10] years of experience in cloud engineering and automation, with a focus on AWS cloud services. Minimum of 8-10 years of IT experience of which at least 5 years must be in AWS Cloud Automation and Administration. 3-5 years of experience in a Site Reliability Engineering role 3+ years of experience with implementation of Containerization (Kubernetes), Cloud technologies (AWS, Azure, or Google, etc.), DevOps tool chain (Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.) Must be well versed in Terraform automation, Ansible playbooks, and Python code. In-depth knowledge of AWS services and solutions, including but not limited to EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and CloudWatch. Strong understanding of cloud architecture principles, design patterns, and best practices for building scalable, resilient, and secure cloud environments. Proficiency in infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation. Exposure to Artificial intelligence patterns and engineering of AWS solutions. Good knowledge of leveraging Amazon Kendra, Lambda, Bedrock, Rag models etc. Excellent communication, collaboration, and leadership skills, with the ability to effectively interact with technical and non-technical stakeholders. Minimum of 1 AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer is required. Experience working in an Agile/Scrum environment preferred. Solid understanding of Software coding techniques and experience with full spectrum of Software engineering (Build, Integration, Test, Releasing and Deployment) leveraging Python. Experience in Developing and/or challenging engineering solutions/practices and collaborating with peers within and outside of immediate team, including customers (Developers, Architects, and Engineers)Communicates Architectural decisions, plans, goals, and strategies, while highlighting short-term trade-offs vs. long-term commitments and costs Engage in and improve the end-to-end Lifecycle of services, starting from Inception & design, deployment, and operations. Establish automation capabilities leveraging Cloud native solutions, to improve the Developer experience. Support activities, including System design consulting, developing software platforms and frameworks, capacity planning, and launch reviews. Willingness to roll up the sleeves and troubleshoot difficult issues and engage the Customer. Willingness to learn new AWS Services and other technologies as required. Systems Scalability and sustainability leveraging automation and strive to improve our systems with changes that improve reliability and velocity. Experience with Enterprise Cloud transformation and migration efforts. Actively participate and help guide customers on using Cloud-native design and architecture patterns. Provide Consultation on Technology infrastructure planning and engineering for assigned systems; Assesses the implications of technology strategies on infrastructure capabilities. Establish strategies to migrate Legacy applications by conversion to multiple Microservices and hosting on AWS Cloud platform. Leverage Cloud-native architecture components including Containers, immutable infrastructure, Microservices, Service Mesh etc., to build highly available and Fault tolerant applications. Conduct research on the global technology trends and their applicability to FEPOC products in support of our internal development teams and business initiatives. Promotes and ensures Modern application design, applies engineering best practices in the development and operations life cycle and mitigates vulnerabilities. Monitors and manages the Stability, Availability, and Performance of enterprise systems and platforms across IT domains. (e.g., Systems, Network, Storage, Security) by analyzing systems to identify problems, trends, and opportunities for improvement. Automate end to end process to maintain (patches and upgrades) of our AWS Cloud ecosystem. Makes data-driven recommendations and decisions and continuously improves the overall efficacy and efficiency of our software delivery capabilities. Mentoring peers as well as engaging with others across teams and socializing solutions.Strong skills are desired in each of the following areas: Development: Experience programming with one or more languages: Python, Java, Groovy, Go, etc. IAC Tools for Platform Automation: Strong skills and experience in at least one: Ansible, and Terraform, AWS Cloud formation, CDK. Containers: Docker or other OCI-certified containers- is a Plus Container Orchestration Platform: Experience with Kubernetes, AWS EKS, AWS ECS is a plus. CNI Plugins: Calico, Flannel, Weave Net etc. Service Mesh: Istio, AWS App Mesh, OpenShift Service Mesh etc. Container Security Tools: Twistlock, Sysdig, Aqua etc. is a plus, Platform Monitoring, Observability, & Performance Tools: Nginx, New Relic, AppDynamics, Data Dog, Thanos, Jaeger, LogDNA, etc. DevOps Tools: Git/Repo, Crucible, Bitbucket, Jira, Ansible, Puppet, Jenkins, Circleci, Bamboo, Maven, Artifactory, Nexus etc. Understanding of Cloud Native Architecture Linux, Shell scripting, and general admin skills Network, Security, Plugins, & Storage Skills AWS skills: EC2, S3, EBS, EFS, IAM, VPC, Lambda, EKS, RedShift etc. Cloud and DevOps certifications, e.g., AWSAWS Cloud certifications, minimum of One is required.