Job Title: Senior Cloud Engineer Location: Mclean, VA/ Richmond, VA - Hybrid Duration: 07+ Months Contract with Extension Job id - 181043 What You'll Do: - Lead the adoption and responsible use of emerging AI and automation capabilities to improve the scalability, reliability, and efficiency of cloud platforms and engineering workflows
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like Java, Scala, Python, Go, and Node.js, Container Orchestration services including Docker and Kubernetes, and a variety of cloud provider tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement and contribute to efforts that ensure well-managed cloud solutions
- Influence long-term technology strategy through evaluation of emerging tools and practices in a 'you build it, you own it' environment
- Integrate risk awareness into daily work, proactively considering potential issues related to cybersecurity, regulatory compliance (OBL, SOX), audits, and change management.
- Lead the technical strategy for a portfolio of cloud initiatives and mentor a team of developers building scalable cloud platforms that support the company's regulatory needs
Basic Qualifications: - Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 5 years of experience in software engineering (Internship experience does not apply)
- At least 2 years of experience in cloud engineering
Preferred Qualifications: - 6+ years of experience coding with at least one of the following: Java, Scala, Python, Go, or Node.js
- 3+ years of experience with public cloud platforms (AWS, Google Cloud Platform, Azure, OCI)
- 3+ years of experience in CI/CD orchestration, Infrastructure-as-Code frameworks (e.g., Terraform, CloudFormation, Pulumi, Crossplane), and Automated Governance using Policy-as-Code DSLs (e.g. OPA)
- One or more active certifications related to cloud infrastructure management or security
- Experience with distributed systems, microservices, and cloud-native patterns (e.g., Kubernetes, Serverless)
- Experience designing and supporting cloud networking, security and identity integrations
- Experience troubleshooting and supporting production cloud environments
- Experience leveraging AI-driven tooling to automate cloud operations, improve platform reliability, or optimize infrastructure performance and cost
- Experience driving cross-functional engineering efforts or large-scale technical initiatives
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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Pay Range: $70- $80
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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