AWS Cloud Admin and SRE

Job ID: 26-08165Location: Reston, VA / 30% RemoteContact: Paras SharmaContact Email: View email address on click.appcast.io Phone: 7328256427Company: Mindlance Hybrid onsite at Reston, VA Purpose: 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. 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. 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) 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. Other Required Skills: 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., AWS Licenses/Certifications AWS Cloud certifications, minimum of One is required. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”