Cloud 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

• Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes.
• Work centers on Financial Services & Insurance and Healthcare & Life Sciences deploying five pre-built AI Blueprints.
• Embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE).
• Spend the first weeks of an engagement in the operator’s seat to learn the work and rebuild the function from first principles.
• Be measured on whether the Business Unit’s number moved, not on hours or scope delivered.
• This is a role for engineers who have led before and want to stay in the code while owning the outcome.

Forward Deployed AI Engineer, GenAI, AWS

• Lead software development initiatives by writing well-structured, maintainable code and conducting thorough code reviews.
• Design and implement AWS-based serverless architectures with enterprise-level scalability, performance, and security.
• Utilize AWS services such as Lambda, API Gateway, Glue, DynamoDB, Elasticsearch, S3, and EC2 to build and integrate cloud-native applications.
• Develop and optimize data processing workflows, including batch processing pipelines and event-driven computing.
• Migrate on-premises applications into AWS leveraging modern serverless and microservices patterns.
• Collaborate closely with cross-functional teams to ensure alignment between architecture, development, and operational objectives.
• Design and implement CI/CD pipelines using DevOps tools such as Git, Terraform , and configuration management tools (Chef preferred).

Senior Software Engineer – AWS, Java, Node.js, Python

• Design, build, and operate Guardian's enterprise cloud application platforms and automation ecosystems.
• Own critical components of the Amazon EKS platform lifecycle.
• Support automation, system design, and operational tooling for application teams.
• Balance deep Kubernetes platform ownership with versatile engineering skills across scripting, Linux systems, automation, Helm charts, CI/CD, and serverless workflows.
• Focus on operational reliability, security-by-default patterns, and disciplined platform lifecycle management.
• Mentor engineers and contribute to raising overall platform engineering, automation, and operational maturity.

Lead Platform Engineer – Cloud & Developer Platforms, Kubernetes

• Define and execute the cloud engineering strategy
• Deliver enterprise cloud services across AWS, Azure, and GCP
• Drive key technology decisions in partnership with Architecture, Security, and Risk teams
• Champion engineering excellence through modern software development practices
• Oversee the security, availability, performance, resilience, and scalability of cloud platforms
• Lead global Agile software development teams
• Manage technology investments, resource allocation, and cloud financial governance
• Build and execute talent strategies to attract and retain top engineering talent

Technology Director – Cloud Engineering

• Design, implement, and maintain security controls and policies across AWS
• Lead integration of security practices into the DevOps lifecycle
• Monitor cloud environments for threats and respond to incidents
• Support compliance initiatives such as ISO 27001 and SOC 2
• Educate teams on safe AI practices

Senior Cloud & Security Engineer

• Build scalable applications for desktop and mobile users using TypeScript, React, and PostgreSQL and TanStack Router
• Architect and optimize workflows with TurboRepo, GraphQL, and AWS services (S3, DynamoDB, CloudWatch, Lambda, EventBridge, Amplify)
• Implement responsive, accessible UI with Tailwind CSS and shadcn/ui
• Containerize and deploy applications using Docker
• Collaborate in an Agile environment using Jira and Git
• Explore and apply AI-assisted methodologies to accelerate development
• Create and maintain documentation for our applications and their releases

Full Stack Developer – TypeScript, React, AWS

• Support the identification of cost optimization opportunities in the cloud under senior guidance.
• Assist in cloud cost management and optimization initiatives.
• Learn and support existing FinOps practices for AWS and Azure.
• Participate in development of FinOps practices and contribute to team initiatives.
• Support ongoing development of a self-service environment for cloud cost transparency.

Cloud FinOps Engineer

• an experienced engineer with a deep hands-on experience developing systems and products with a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance
• passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals
• comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening
• skilled at working with architecture and engineering stakeholders
• enjoy mentoring junior contributors, helping them grow and learn new skills in today’s engineering field
• a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time.

Principal Software Engineer, Python, Oracle, AWS

• Design and maintain cloud security architectures, standards, patterns, and reference models across multi-cloud and hybrid-cloud environments
• Partner with cloud engineering, infrastructure, and application teams to integrate security controls into cloud platforms and services
• Lead security architecture reviews for cloud transformation initiatives, cloud-native applications, containers, Kubernetes platforms, and SaaS solutions
• Define and govern cloud security capabilities including identity and access management, network security, data protection, encryption, logging, monitoring, and security automation
• Identify cloud security risks and develop mitigation strategies aligned with enterprise risk management and regulatory requirements
• Drive adoption of Zero Trust, secure-by-design, and cloud-native security principles
• Evaluate emerging cloud security technologies and industry trends to support future-state architecture strategies

Senior Cloud Security Architect

• developing and managing cloud storage solutions
• building data pipelines
• automating processes using Python and Flask
• provisioning infrastructure with Terraform and CloudBees
• contributing to AI and Agentic AI solution development using MCP Services
• designing and implementing cloud-based information systems on AWS infrastructure
• defining system scope, conducting research and feasibility studies
• creating technical documentation and flow charts
• implementing and maintaining cloud infrastructure as code using Terraform
• configuring CI/CD pipelines with CloudBees
• monitoring resource utilization, performance metrics, and supporting security and compliance initiatives
• developing and maintaining data engineering solutions including data pipelines, ETL/ELT processes, and analytics components using Python or Java
• designing and managing cloud storage architectures
• creating and maintaining comprehensive technical documentation
• investigating and troubleshooting routine system issues
• providing user support by developing training materials and gathering feedback

Lead Cloud Engineer

• Design, deploy, and support scalable, highly available, and secure network architectures across Azure, AWS, and GCP environments
• Develop, automate, and manage cloud network infrastructure using Infrastructure as Code (IaC) tools such as Terraform
• Build and maintain automation solutions using Python and Ansible
• Implement and manage multi-cloud and hybrid connectivity solutions
• Configure and manage cloud networking components
• Monitor, troubleshoot, and optimize network performance, reliability, and security

Cloud Platform Network Engineer II

• deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance
• help drive and deliver first-of-a-kind knowledge-based applications for investment professionals
• work in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening
• collaborate as part of a team to deliver the most amount of value in the least amount of time

Senior Software Engineer, Python, Oracle, AWS

• Assess the existing Azure environment, infrastructure dependencies, and modernization requirements to inform the target architecture
• Design the Azure tenant structure, including management groups, subscriptions, landing zones, networking, and resource organization
• Define cloud architecture standards, naming conventions, tagging strategies, and architecture decision records (ADRs)
• Advise on identity and access management, including Entra ID, RBAC, PIM, Conditional Access, and least-privilege access models
• Develop secure networking and connectivity patterns between Azure, on-premises systems, federal partners, and external integrations
• Define Infrastructure-as-Code standards, reusable modules, repository structure, and CI/CD workflows for development teams
• Produce architecture documentation, operational guidance, governance artifacts, and platform runbooks to support long-term maintainability

Azure Architect

• Develop and maintain AWS-based applications with a focus on IVR and telephony systems
• Build resilient IVR solutions ensuring proper failure handling, retries, and fallback logic
• Manage AWS infrastructure using Infrastructure as Code practices
• Design and integrate APIs for seamless IVR workflows
• Model and access data using DynamoDB to support application functionality
• Collaborate with cross-functional teams to enhance application performance and reliability

Senior AWS Connect Developer

• Design, build, and deploy a mirrored AWS environment based on the current production ecosystem
• Stand up a new AWS landing zone, implementing secure and scalable infrastructure
• Enable automated deployments through best-in-class IaC and DevOps practices
• Collaborate closely with internal engineering, security, and operations teams to align cloud services, policies, and configurations with enterprise standards

Senior AWS Lead Cloud Developer

• Design and deploy secure, scalable Azure solutions
• Automate infrastructure provisioning and deployments
• Monitor and optimize cloud performance, availability, and cost
• Implement security and compliance standards
• Support production incidents and root cause analysis
• Build and maintain CI/CD pipelines
• Collaborate with application teams for cloud modernization
• Maintain technical documentation and operational procedures
• Ensure high availability, backup, and disaster recovery readiness

• act as a technical consultant for SUSE technologies
• assist Lead Architect in larger projects
• implement solutions based on SUSE technologies
• carry out intermediate hands-on configuration and coding activities
• maintain a proficient level of understanding of the SUSE portfolio of products
• establish and maintain long-term relationships with users
• provide internal feedback to improve Services offerings

Technical Consultant – Cloud Native

• Provides service desk engineering escalation support within the J7 endpoint/identity scope
• Handles complex/escalated ticket resolution tied to imaging, baseline, enrollment, patching, and telemetry (not routine Tier 1).

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