Information Technology - Engineer, Systems Ld

AWS Cloud Platform Engineer

Manages, defines, designs, and develops system requirements. Performs trade-off analyses of performance, life-cycle cost, risk and other system or program requirements. Assesses architecture. sub systems and current hardware limitations, defines and designs system specifications, and evaluates input/output processes and working parameters for hardware/software compatibility. Defines system support requirements. Analyzes and resolves program support deficiencies. Conducts independent technical investigations in systems design. Performs engineering studies and analyses, analyze system problems in support of development, develop system implementation solutions. Develops concepts, provides requirements analyses, performs modeling and simulations, cost estimations, cost benefit analysis, familiar with engineering standards and industry best practices. Conducts COTS hardware and software interoperability, new technologies assessments, statistical studies, predictive analysis, project planning, script development, etc.

Essential Functions:

Identifies program objectives and technical development strategy; prepares System Engineering Management Plan, Work Breakdown Structures, master schedules, and key performance parameters.

Develops and implements risk and opportunity management plans, identifies risks, assesses risks, develops mitigation plans, disaster recovery and tracks risks.

Oversee the planning, design and implementation of system engineering projects.

Plan, develop and lead systems engineering project and efforts.

Develop and implement techniques to prevent system problems, troubleshoots incidents to recover services, and support the root cause analysis. Develops and follows standard operating procedures for common tasks to ensure quality of service.

Manages customer and stakeholder needs, generates and develops requirements, and performs functional analysis.

Acts as a mentor for junior and senior team members.

Installs, tunes, upgrades, troubleshoots, and maintains all computer systems relevant to the supported applications including all necessary tasks to perform operating system administration, user account management, disaster recovery strategy and networking configuration.

Expands engineering job knowledge and leading technologies by reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; educational opportunities and participating in professional societies.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Level: Bachelor's Degree Education Details: Information Technology, Computer Science or related field

Experience: 10 years of relevant IT systems engineering experience. In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Preferred Qualifications:

Seeking experienced and dynamic AWS Cloud Platform Engineer to provide hands-on technical expertise for supporting our AWS footprint, including Security and Guardrails. As an AWS Cloud Platform Engineer, you will be responsible for designing, implementing, and integrating our cloud platform resources on Amazon Web Services (AWS). You will collaborate with a team of talented cloud engineers and technology teams to deliver scalable, reliable, and secure cloud solutions that support our company's growth and innovation.

Summary:

Minimum of 10years 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.

Qualifications:

• 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), AI workloads, 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

• Hands-on experience with CI/CD pipelines, containerization technologies (e.g., Docker, Kubernetes), and serverless computing is a plus.

• 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)

Roles & Responsibilities:

• 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,