Cloud Engineer

• The Manager, Cloud Engineering, will continuously collaborate with key stakeholders across the business to solve critical technical problems for Allergan Aesthetics.
• You will be a hands-on leader of the foundational engineering team driving our system/service reliability, scale, and developer productivity.
• In this dual-focus leadership role, you will bridge the gap between keeping our production environment highly resilient and ensuring our internal software developers have friction-free, high-speed tools and pipelines.
• You will lead a talented team of engineers who build scalable infrastructure, standardize developer tooling, reduce toil, and foster a culture of operational excellence across the entire engineering organization.
• Manage, lead, hire, develop and mentor a team of Platform Engineers to deliver high-quality infrastructure and developer solutions that are secure, resilient, and scalable.
• Foster a collaborative and inclusive team culture, encouraging knowledge sharing and continuous learning.
• Create and recommend professional learning paths for direct reports Conceptualize and execute technical approaches for emerging systems and architecture.
• Implement, through the team, the high bar of quality and standards for production reliability and the developer experience.
• Act as the key point of contact between your team and other stakeholders and partner teams.
• Lead the adoption and maturation of SRE practices across the organization, partnering with service owners to improve production reliability.
• Define and champion SLO/SLI frameworks and error budget-based decision making to drive prioritization between reliability and feature work.
• Lead the strategy for internal developer platform capabilities — influence self-service infrastructure, developer tooling, and deployment patterns that improve velocity and reduce toil for product teams.
• Responsible for team capacity planning and staffing allocation activities to ensure sufficient staffing for current and future needs.
• Plan, staff and support on-call rotation. Manage robust incident response and resolution, capture corrective and preventative actions and continuous improvements.

Manager, Cloud Engineering

• Lead discovery workshops with partners to understand their existing environments, business goals, migration requirements, and technical challenges.
• Transform discovery findings into detailed Statements of Work, project scopes, assumptions, deliverables, and effort estimates.
• Advise partners on Microsoft cloud migration projects and help define the most appropriate migration approach.
• Act as the technical bridge between partners, sales teams, and implementation engineers.
• Own project opportunities from initial qualification through approval and successful handoff.
• Ensure all migration prerequisites, risks, dependencies, and technical considerations are documented before delivery begins.
• Collaborate closely with Pax8 sales teams to support project opportunities and help drive successful outcomes.
• Support colleagues with complex scoping scenarios and contribute to continuous process improvement.

Associate Cloud Migration Specialist

• Cloud Security Engineering: Design and implement robust security controls across AWS environments, including AWS IAM, SCPs, VPC security, S3 bucket policies, and key management.
• Infrastructure as Code (IaC): Utilize Terraform to deploy and manage security configurations, ensuring "Security as Code" is integrated into all cloud deployments.
• DevSecOps Integration: Implement and maintain GitLab CI/CD pipelines for automated security testing and scanning of AWS resources.
• Posture Management & Monitoring: Continuously monitor and improve cloud security posture by managing and tuning services such as GuardDuty, Security Hub, AWS WAF, and CloudTrail.
• Identity & Access Management: Define and enforce IAM best practices, including least privilege, federated identity, RBAC, and automated remediation of deficiencies.
• Threat Modeling & Assessment: Conduct architecture reviews and risk assessments for new cloud features to identify and mitigate vulnerabilities before deployment.
• Incident Response & Analysis: Investigate suspected attacks and lead security incident management, providing post-mortem analysis and developing long-term preventive measures.
• Compliance & Standards: Develop and maintain security policies and procedures to ensure compliance with FedRAMP and DoD IL-4/5.
• Reporting & Metrics: Develop creative reporting mechanisms and metrics to communicate cloud risk and security themes to business owners and leadership.

Senior Cloud Security Engineer

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Principal Engineer – Cloud Observability

• Engineer, implement, and manage secure, scalable AI/ML platforms specifically within the AWS ecosystem
• Serve as a Subject Matter Expert (SME) in optimizing AWS infrastructure using Infrastructure as Code (IaC) to ensure high availability for model endpoints and data planes
• Lead the end-to-end operationalization of modern AI and Generative AI workloads, including LLM-powered applications, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks
• Build and maintain reliable, cost-efficient platforms utilizing native AWS services and automated CI/CD pipelines to transition intelligent solutions from development to production
• Implement advanced monitoring solutions to oversee platform health, performance, and the stability of AI-driven workloads
• Act as a technical lead to advance the organization’s cloud maturity, ensuring all AWS-based AI solutions are robust, secure, and 'AI-ready'

AWS Cloud AI Engineer

• Install and support LANs, WANs, network segments, and Internet systems.
• Setup and monitoring of all backups with test restores.
• Administration of Azure cloud-based servers will be a primary duty for this position.
• Advise and recommend cloud server changes.
• Manage cloud server cost and recommend improvements.
• Maintain DR site and replication of data.
• Manage Anti-Virus for all servers and clients.
• Setup of all client PCs.
• Setup and manage all network user security.
• Secures network system by establishing and enforcing policies and monitoring access.
• Maintains network performance by performing network monitoring, analysis and tuning.
• Troubleshooting network problems escalating problems to vendor.
• Identify user needs.
• Ensure network connectivity throughout the company's LAN/WAN infrastructure.
• Provide support and administration of Office 365 Exchange environment.

Senior Azure Network Engineer

• Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes.
• Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints.
• A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change.
• You will learn the constraints from the inside and rebuild the function from first principles, owning the method as an embedded part of the customer’s team.
• You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline.

Senior Forward Deployed AI Engineer, GenAI, AWS

• Support clients in modernizing their IT infrastructures
• Manage server configuration for modern cloud solutions
• Provision virtual machines or networks
• Collaborate with cloud architects and engineers
• Use cloud service providers to further clients’ missions
• Develop, deploy, or manage IT infrastructures for server and network components

Multi-Cloud and Hybrid Infrastructure Lead

• Design and develop APIs to orchestrate and integrate operational workflows.
• Build state management and workflow automation systems that streamline infrastructure lifecycle processes.
• Collaborate across teams to codify business processes into scalable, self-measuring systems.
• Develop extensible, schema-driven platforms for reducing manual toil and ensuring operational consistency.
• Drive integrations with container orchestration tools like Kubernetes and observability systems such as Prometheus, OpenTelemetry, Grafana.
• Optimize the reliability and efficiency of cloud operations through automated workflows and telemetry systems.
• Lead and ship impactful technical projects, ensuring quality and scalability at every stage.

Senior Software Engineer, DGX Cloud Orchestration

• Building and maintaining backend services, APIs, and platform infrastructure
• Developing features for engineering workspaces and collaborative workflows
• Improving scalability, reliability, and performance across cloud systems
• Supporting AI-related infrastructure and intelligent tooling initiatives
• Enhancing developer tooling, automation, and deployment systems
• Contributing to visualization and interactive engineering experiences
• Collaborating across software, infrastructure, and simulation teams

Software Engineer – AI & Cloud Engineering

• Plan, engineer, and optimize cloud infrastructure and applications
• Implement and design cloud-related hardware and software solutions
• Monitor and analyze system performance across cloud environments
• Apply standard concepts and practices of SaaS, PaaS, and IaaS models
• Solve business problems using business process redesign and cloud computing technologies
• Consult with business process owners and functional leaders to understand needs and recommend solutions
• Apply business process re-engineering methodologies to support systems modernization
• Develop documentation for new standard operating procedures and cloud products
• Prepare and deliver reports, recommendations, operating models, and workflow designs
• Create methodologies to measure process performance against established metrics
• Maintain proficiency in Business Process Re-engineering best practices
• Analyze digital and web service solutions using open-source and cloud technologies
• Rationalize complex technical information and validate data sources
• Assess strategic alignment, cost/benefit, and risk for proposed technical solutions
• Collaborate with Product Managers to define product approaches that meet user needs
• Support budgeting and resource requirement assessments as needed
• Recommend actions based on analysis to support organizational decision-making
• Provide solutions to technical problems of moderate scope under general supervision
• Provide technical support to operational strategies aligned within your program and initiatives that optimize processes, enhance productivity, and ensure quality across all program functions
• Ensure 100% of planned hours are worked and recorded
• Identify and forward to your leadership any opportunities that could lead to growth within your work area
• Participate in growth efforts as requested
• Ensure all contractual deliverables are met/exceeded to the customer's satisfaction
• Complete personal PDP and attend all company meetings (with camera on)
• Within your program, build productive and positive professional relationships with clients
• Execute all contract requirements as assigned in accordance with the contract-specific LCAT and requirements
• Perform other related duties as assigned

Google Cloud Platform Engineer

• Design, develop, and maintain Node.js applications running on AWS Lambda.
• Build and enhance IVR and self-service workflows using Amazon Connect and Amazon Lex.
• Develop integrations between contact center platforms and enterprise applications, databases, CRM systems, and third-party APIs.
• Create reusable Lambda services to support authentication, routing, customer identification, case management, and self-service transactions.
• Develop RESTful APIs and event-driven architectures using AWS services.
• Implement secure coding practices, including encryption, authentication, authorization, and data protection controls.
• Participate in CI/CD pipeline development and deployment automation using GitHub and AWS DevOps services.
• Troubleshoot production issues and optimize application performance, scalability, and reliability.
• Collaborate with solution architects, contact center engineers, QA teams, and business stakeholders throughout the software development lifecycle.
• Develop automated unit, integration, and regression tests for serverless applications.
• Create technical documentation, deployment procedures, and operational runbooks.

Senior Backend Developer – Node.JS, AWS

• Cloud Architects are required to any agency setting up cloud infrastructures.
• They are needed to manage the architecture of an organizations cloud environment to ensure the scalability, agility, optimization, security, integration, compliance, and interoperability of cloud deployed capabilities.
• They bring expertise in designing and deploying cloud-based solutions more efficiently and effectively.
• This position would be responsible for analyzing the requirements of a federal agency's applications and capabilities being built to provide an underlying foundation within the cloud to properly host and support those services.
• The Cloud Architect would work with other Cloud Engineers and Cloud Security personnel to properly define the cloud infrastructure, networking, and deployment of agency systems.

Cloud Architect

• Lead and design the implementation of scalable cloud solutions and tools.
• Drive and facilitate team design discussions.
• Build and develop prototypes to solutions that can be implemented at scale.
• Participate and develop necessary DevSecOps processes.
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline).
• Identify and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management.
• Monitor and measure customer experience and KPIs.
• Encourage and build automated processes wherever possible.
• Monitor the processes during the entire lifecycle for its adherence and update or create new processes for improvement and minimizing the wastage.
• Participate in Agile ceremonies, such as daily stand-ups, iteration planning, demos retrospectives, and program increment planning.
• Promote technical solution from development to production environments following established processes.
• Work closely with Business and Product Team Stakeholders to facilitate requirements and the design of technical solutions, communicates status and technical issues.
• Influence and educate stakeholders by prototyping, performing demos and promoting platform capabilities.

• Lead mid to large size and complex consulting projects simultaneously.
• Extensive whole lifecycle experience in leading Oracle SaaS requirements workshops, solutions architecture & design discussions.
• Using in-depth knowledge of Oracle Cloud Applications, as well as industry best practice expertise, consults with clients to provide cost effective solutions to client business scenarios.
• Leads the implementation team in creating the overall Enterprise Cloud solution. This includes both the technical and functional solutions.
• Experience in extending Oracle SaaS footprints with PaaS extensions. This involves designing solutions and writing specifications to create custom applications and integrating them with Oracle Cloud Applications.
• Analyze current systems and data to identify new requirements, recognizing the need for systems enhancements or modifications if necessary.
• Ability to Lead, mentor, train and guide an Oracle Cloud applications team.
• Experience in mapping enterprise requirements to multiple applications in the Oracle SaaS Applications.
• Identifies and applies creative and innovative approaches to resolving product implementation and integration obstacles and problems.
• Develop and implement long-term client strategies.
• Act as the primary point of contact for clients. Effectively communicate with clients, team members, and stakeholders throughout the project lifecycle. Keep all parties informed about project progress, challenges, and changes.
• Actively engage project stakeholders in the estimation process, mindful of the impact of strategic business changes.
• Support business partners in presenting solution value to key stakeholders effectively.
• Collaborate with third-party vendors and suppliers to source necessary hardware, software, or services. Negotiate contracts and agreements to secure the best terms for the client.
• Present compelling business cases, clearly quantifying the benefits of proposed solutions.
• Continuously monitor the performance of implemented solutions to identify areas for improvement or optimization. Provide recommendations for updates, upgrades, or modifications as needed.

Oracle Cloud Financials Delivery Architect

• Captivation Software is looking for a mid level software engineer with experience developing in AWS with managed services.

Software Engineer 2 – AWS, Hadoop, Accumulo, Terraform, Python, Java

• Define and lead the enterprise security strategy and architecture for AI-powered systems and Azure cloud environments, including identity, network security, data protection, and secure cloud and hybrid designs.
• Establish and govern security controls, guardrails, and runtime protections for agentic AI workflows, including tools such as Claude, GitHub Copilot, and custom AI agents.
• Lead threat modeling efforts for AI systems and Azure-hosted workloads, identifying and mitigating risks associated with adversarial inputs, cloud vulnerabilities, autonomous agents, and emerging attack vectors.
• Evaluate AI-generated and cloud-integrated code for security, quality, correctness, and performance, and define enterprise standards for secure code review practices.
• Architect and oversee security tooling and monitoring capabilities that evaluate, monitor, and harden AI agents and Azure resources at scale using technologies such as Microsoft Defender for Cloud, Azure Monitor, and Microsoft Sentinel.
• Embed security governance into the software development lifecycle and Azure DevSecOps pipelines through Security Posture Management, Azure Policy, Key Vault, and Infrastructure-as-Code standards.
• Research emerging AI and cloud security threats, regulations, and industry trends, translating insights into actionable strategies and enterprise security improvements.
• Mentor and influence engineering teams on secure AI adoption, cloud security best practices, and enterprise security standards.

Principal AI & Cloud Security Engineer

• The Cloud Developer builds from the ground up to meet the needs of mission-critical applications
• Always looking for innovative approaches to deliver end-to-end technical solutions
• Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements
• Provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
• Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
• Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
• Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
• Provides mentoring to others to set an example of software systems design and development innovation and excellence.
• Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

Principal Cloud Developer

• Design, build, and operate large-scale data pipelines that ingest and process network telemetry at cloud scale.
• Develop routing intelligence capabilities to detect, troubleshoot, predict, and mitigate network issues in multi-tenant data center environments.
• Build scalable, highly available services on the Mist platform, contributing across the stack from data ingestion through analytics.
• Design and develop software for cloud-native distributed systems with a focus on scalability, reliability, and performance.
• Collaborate with engineering teams to build AI-powered networking solutions that improve operational efficiency and customer experience.
• Leverage modern AI-assisted development tools, including GitHub Copilot, to improve engineering productivity.

Software Engineer 3 – AI, ML, Cloud

• Own the technical integrity of Coalfire’s FedRAMP reference architectures and capabilities across AWS, Azure, and GCP, and across certification levels.
• Set the engineering standards delivery teams build against—architecture patterns, security baselines, automation frameworks, and evidence-collection approaches.
• Review and approve custom architecture decisions when client requirements fall outside the standard; promote recurring customizations into the reference architecture so the standard improves every quarter.
• Serve as a technical escalation point for delivery teams on architecture and security design questions to improve client outcomes.
• Keep reference architectures current with evolving FedRAMP requirements, including machine-readable compliance packaging (OSCAL or JSON) and continuous-monitoring mandates.
• Mentor engagement architects and senior engineers; raise the technical bar across the delivery organization.
• Partner with the sales organization on solution shape for the most strategic pursuits.
• Represent Coalfire’s technical point of view in the FedRAMP community—working groups, public comment, and industry forums.

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