Welcome to Decision Foundry!
Decision Foundry, an advisory-led, premier Salesforce Data Cloud delivery partner, bridges the gap between data access, platform adoption, and business impact. As a certified ISV and award-winning Salesforce integration partner, we offer global consulting services, integrating Data Cloud, Account, Engagement, Personalization, Sales, and Service solutions.
We win as an organization through our core tenets. They include:
- One Team. One Theme.
- We sign it. We deliver it.
- Be Accountable and Expect Accountability.
- Raise Your Hand or Be Willing to Extend it
About the role:
We are seeking a DevOps for our client. This person should be GCP inclined candidate and worked with multiple applications.
Job Summary:
7–12+ years in cloud + DevOps/infrastructure
Hands-on across GCP (70%) and AWS (30%) (not just one cloud)
Strong Kubernetes + container platform engineer
Experienced in enterprise DevOps pipelines + CI/CD automation
Comfortable with production-grade systems (HA, scaling, security, monitoring)
Able to work in DevOps + SRE + Cloud Platform Engineering hybrid role
Responsibilities:
The responsibilities of this position include, but are not limited to, the following functions in the Architecture & Engineering organization:
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Utilize technical skills and tools to coordinate, maintain, enhance, and deploy cloud-based solutions while following corporate standards and best practices
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Work within a DevOps team to meet project objectives in a timely fashion
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Update project status reports (progress/risks/issues/roadblocks) as required by Senior Management
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Use DevOps methodology and toolsets to implement and support solutions in AWS, Azure, and GCP
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Implement proposed solutions to ensure the delivery of a quality product or service
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Ensure cloud resources meet organizations operational requirements and are in compliance with organizations infrastructure and security standards
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Provide documentation and communication to peers and other IT Teams for status, coordination, objectives, and performance
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Oversee vendors work efforts on implementations
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Compile and remediate vulnerabilities identified by the securities team
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Assess and troubleshoot, consult with vendors, and coordinate with other teams for problem resolution
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Ensure high work standards regarding incident and change management tasks
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Other tasks as deemed necessary or appropriate
Requirements
Skills/Abilities:
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Proven experience with Amazon AWS, GCP, and Azure in an enterprise setting (personal use of these services will not be considered as equivalent)
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Proficient usage and management of Kubernetes technology stacks (K8s, EKS, GKE, Helm, Prometheus, Cortex, Grafana, Istio, and more)
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Solid grasp and usage of version control and release management concepts and tools, particularly Git (Github / SVN/Bitbucket) for code branching and merging
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Accomplished with DevOps Implement, manage, and use DevOps methodologies and toolsets (Chef, Terraform, Jira, Slack, Vault, Python, Cortex)
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Follow deployment practices using CICD Processes and Technologies (Jenkins, TeamCity, Tekton, Spinnaker, Octopus, CodeDeploy, Automate)
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Clear understanding that implementation of security principles and tools is not “optional”
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Understanding of Modern Auth (OIDC, SSO, SAML, Federation)
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Proficient usage and management of Linux and Windows technology stacks (Ubuntu, Windows Server, Nginx, Apache, MySQL, PHP, IIS, MS SQL, .NET, and more)
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Build and support solutions using both serverless and server-based infrastructure in AWS, Azure, and GCP cloud environments
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Proficiency with serverless technologies (K8s, RDS, Lambda, SNS, SQS, S3, BigQuery, EKS, GKE, BigTable, Azure AD, Azure B2C, API Gateway, CloudFront, Lambda at Edge)
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Solid understanding of key cloud design concepts such as “High Availability” (HA), “Elastic Load Balancing” (ELB), Principle of Least Privilege, Resiliency, Ephemeral Computing, Stateless Computing, Virtual Networking, and Scaling
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Detailed knowledge and demonstrated experience with key AWS specific technologies including EC2, S3, RDS, Redshift, CloudWatch, CloudFormation, CloudTrail, Storage Gateway, VPC, Transit Gateway, Dedicated Instances, Large Memory U-Type Instances, and Lambda
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Detailed knowledge and demonstrated experience with key GCP specific technologies including Compute Engine, BigQuery, IAM, BigTable, VPC, Shared VPC, Flow Logs, and Cloud Functions
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Depth of knowledge of VPC, Cloud Networking, Hybrid Cloud, and IAM constructs in AWS, Azure, and GCP
Experience: -
7 years minimum Experience in delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams.
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Extensive experience in technical server and Enterprise storage management
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Practical (hands-on) Experience with all 3 leading cloud providers (AWS, Azure, GCP)
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Practical (hands-on) Experience with primary DevOps toolsets (Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, Slack)
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Practical (hands-on) Experience with primary serverless technologies (k8s, GKE, EKS, Lambda, RDS)
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Practical (hands-on) experience with primary VM technologies (EC2, Dedicated Instances, Compute Engine)
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Practical (hands-on) experience using scripting languages (Python, PowerShell, Golang, AWS CLI, GCP CLI, Bash)
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Practical (hands-on) experience using AWS Linux, Ubuntu Linux, and SLES Linux
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Practical (hands-on) experience using Windows
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Practical (hands-on) experience using Kubernetes (K8s) and related toolsets (K8s, EKS, GKE, Grafana, Prometheus, Cortex)
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Other tools: Dynatrace, Azure AD, Intune, SEP, Redlock, Prisma Cloud, SAP, GoAnywhere)
Benefits
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Work Location – Nashville, Onsite (5 days a week)
- Employment Type - 1 year Contract which maybe extendable.
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Rate - $60/hr USD
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Decision Foundry is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
