Cloud 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

• 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

• 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

• Leads cross-functional teams to design, implement, and optimize Banner Health’s multi-cloud infrastructure across Azure, AWS, and OCI.
• Develop the long-term cloud strategy ensuring scalability, security, resiliency, and cost-effectiveness across the organization’s cloud systems.
• Work closely with Cloud Platform Engineering & Operations and Network Operations departments.
• Lead cloud adoption and migration, enhance cloud maturity, improve performance, implement best practices, and drive cloud-based innovation.
• Provide strategic and technical oversight in developing, managing, and optimizing multi-cloud environments.

Principal Cloud Architect

• Hands-on development of end-to-end AI solutions to solve complex business problems
• Cloud services and infrastructure with platforms such as AWS, Microsoft Azure, or Google Cloud
• Built or deployed systems powered by LLMs or generative models
• Proficiency in programming languages for AI development such as Python, R, or SQL
• Experience with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn
• Collaborate with internal stakeholders to create AI-enabled solutions for repeatable business problems
• Foster innovation by identifying new AI technologies or methodologies

Senior AI/ML Cloud Developer

• Deploy and support our service infrastructure in Kubernetes
• Identify the right tools and technologies for major initiatives and then build them
• Help other teams and developers design robust and scalable systems.
• Scale and optimize multiple databases
• Build internal tooling that accelerates developer velocity
• Provide observability, monitoring, and visibility across our systems

Senior Cloud/Backend Engineer

• 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

• Engineer, administer, and maintain Microsoft Azure, Microsoft 365, and hybrid cloud environments.
• Manage Microsoft Entra ID (Azure Active Directory), Active Directory, Group Policy, and identity lifecycle management.
• Configure and maintain Conditional Access Policies, Multi-Factor Authentication (MFA), Single Sign-On (SSO), Privileged Identity Management (PIM), and identity governance.
• Support implementation of Zero Trust security architecture and identity-based access controls.
• Deploy, configure, and maintain Windows Server infrastructure and enterprise services.
• Administer Microsoft 365 services including Exchange Online, SharePoint Online, Teams, OneDrive, and Intune.
• Automate administrative tasks using PowerShell and infrastructure automation tools.
• Support cloud migrations and modernization efforts from on-premises environments to Azure.
• Monitor system health, availability, performance, and capacity using enterprise monitoring solutions.
• Troubleshoot complex cloud, identity, authentication, and infrastructure issues.
• Support disaster recovery, backup, business continuity, and high-availability initiatives.
• Coordinate with cybersecurity teams to remediate vulnerabilities and maintain compliance with federal security requirements.
• Develop technical documentation, standard operating procedures, implementation guides, and architecture diagrams.
• Participate in maintenance windows, after-hours support, and on-call rotations as required.

Cloud, Identity Engineer

• Lead efforts in defining and implementing significant components of our new cloud architecture, collaborating with our most senior technologists
• Deliver low-latency and highly scalable services
• Partner closely with our desktop agent and AI teams
• Drive continuous improvement in hiring, design reviews, post mortems, and growing the technical skills our team needs to excel.

Software Engineer III, Cloud

• Analyze, design and develop application solutions and enhancements that meet requirements
• Ensure adherence to programming and enterprise architectural standards
• Complete work assignments and perform appropriate follow up to ensure that tasks are completed on time
• Collaborate with product owners, application users, creative team and other developers to define requirements, design, and develop the web application
• Assist in the rollout of new applications, problem fixes, and enhancements of software
• Support configuration management and deployments of code and configuration items across environments to production
• Create consistent and accurate technical and end-user documentation of implemented applications
• Support the QA team on automation and other scripting requirements

Java Software Engineer, AWS

• Manage and optimize our AWS cloud infrastructure for reliability, scalability, and performance
• Automate cloud deployments, infrastructure management, and operational workflows to improve reliability and efficiency
• Monitor production environments and proactively improve system performance, uptime, and alerting
• Apply cloud security best practices and support a secure, compliant infrastructure
• Troubleshoot production issues and resolve cloud-related incidents within service level agreements (SLAs)
• Partner with Engineering and Product to improve cloud architecture, deployments, and operational processes
• Evaluate new cloud technologies and recommend improvements that enhance performance and scalability

Cloud Ops Engineer

• Partner with technical leaders and the open-source community to contribute to technical designs, frameworks, roadmap definition, and requirements-gathering.
• Provide domain knowledge and engineering insight to guide early designs, accelerate project decision-making, and maintain close oversight of technical execution.
• Encourage and maintain engineering excellence within the team to build reliable distributed systems that our customers can build their business on.
• Plot and execute on the path from prototype to production for features.
• Collaborate with business, product, architecture, security, digital, and engineering teams to deliver innovative solutions that address customer needs, solve complex challenges, and drive continuous improvement.
• Foster a collaborative and inclusive team culture by demonstrating ownership, accountability, and enthusiasm while contributing to automation initiatives and supporting high-performing remote teams.

Senior Software Engineer – Java Cloud

• Defines and leads cloud engineering strategy, reference architectures, and technical standards for AWS-based infrastructure and platform capabilities.
• Design and implement scalable technical solutions that address regulatory, risk, and compliance requirements by integrating effective controls into cloud platforms and engineering practices.
• Leads the design of highly scalable, resilient, secure, and cost-optimized cloud-native solutions using AWS services such as EC2, Lambda, S3, RDS, EKS, IAM, VPC, KMS, and related services.
• Solves the most complex infrastructure and platform problems, including issues that span multiple systems, teams, and technology layers.
• Leads root cause analysis for significant incidents, drives durable corrective actions, and improves platform reliability, resiliency, and operational readiness.
• Establishes enterprise patterns for infrastructure as code, automation, and CI/CD practices using tools such as Terraform and related delivery tooling.
• Partners with Security, Risk, and Compliance teams to design and maintain cloud controls that meet regulatory and policy requirements, including PCI-DSS, SOC 2, FFIEC, and other applicable standards.
• Provides technical leadership for internal and external audits by shaping control evidence approaches, addressing audit requests, and improving audit readiness.
• Architects disaster recovery, high availability, backup, and fault-tolerant strategies for critical cloud services and validates recovery approaches through testing and continuous improvement.
• Defines and enforces cloud security best practices including identity and access management, network segmentation, encryption, key management, secrets handling, and secure workload configuration.
• Drives cloud vulnerability management and configuration compliance strategies to ensure remediation, patching, and hardening practices meet service level expectations.
• Establishes cloud observability standards and leads implementation of logging, metrics, tracing, dashboards, and alerting solutions to support complex transactional systems.
• Influences technical roadmaps, sequencing, and investment decisions across engineering teams to improve cloud adoption, operability, and platform consistency.
• Builds strong cross-functional relationships and serves as a trusted advisor to engineering leaders and senior stakeholders on cloud architecture, risk, tradeoffs, and long-term technical direction.
• Produces clear and durable technical documentation, standards, architecture artifacts, and guidance that enable scalable adoption across teams.
• Mentors engineers and technical leaders by raising engineering standards, sharing expertise, and guiding design and execution on high-impact initiatives.
• Supports the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Principal Engineer – Cloud Engineering

• Designs, governs, and optimizes Cutsforth’s enterprise Azure cloud platform, establishing the landing zones, network topology, identity model, and security controls that host the company’s software and data products
• Partners with software engineering, security, and operations to deliver scalable, secure, and cost-effective cloud architecture that supports Cutsforth’s connected monitoring and industrial product offerings

Senior Azure Cloud Architect

• Develop Go-based microservices to support new and existing features which help detect cyber attacks
• Take end-to-end ownership for the delivery of projects of increasing complexity
• Relentlessly pursue quality by following engineering best practices
• Utilize Kafka for event-driven workflows; and Cassandra, ElasticSearch, or PostgreSQL for data storage
• Provide on-call monitoring and operational & customer support for production services owned by our team
• Reflect thoughtfully to improve architecture, models, user experience, performance, and stability following rapid prototyping

Software Engineer III – Cloud Security

• Design, deploy, and manage virtual cloud infrastructures across hybrid environments in Microsoft Azure Cloud (IaaS & PaaS).
• Automate deployments and configurations using Infrastructure-as-Code (IaC) and Configuration-as-Code tools such as Terraform, Ansible, and ARM/BICEP templates.
• Provision, maintain, and scale cloud resources in Microsoft Azure in collaboration with cross-functional teams.
• Monitor cloud resource utilization to ensure cost efficiency and scalability.
• Troubleshoot and resolve system, application, and infrastructure issues, performing root cause analysis as needed.
• Ensure infrastructure meets security, compliance, and operational standards within a DevSecOps framework.
• Support CI/CD pipelines and integrate infrastructure automation into the development lifecycle.
• Implement and manage containerization and orchestration technologies, such as Docker and Kubernetes, for microservices architectures.
• Configure and maintain monitoring tools to ensure system and application availability and performance.
• Identify and implement optimizations to improve efficiency, reduce latency, and enhance system uptime.
• Apply security best practices, including identity and access management (IAM), network segmentation, and encryption, to protect hybrid cloud infrastructures.
• Assist in audits and compliance initiatives (e.g., RMF, NIST, ISO 27001).
• Provide Tier-2/3 support for escalated issues, working closely with internal teams and external vendors.
• Document procedures, configurations, and troubleshooting steps to enhance knowledge sharing.

• Design, build, and manage scalable AWS infrastructure including EC2, EKS, Lambda, API Gateway, VPCs, IAM, Security Groups, Load Balancers, and routing components.
• Implement Infrastructure-as-Code (IaC) using Terraform/AWS CDK to automate provisioning, scaling, and environment management.
• Set up and manage DevOps pipelines using GitHub, GitHub Actions, CodeBuild, CodeDeploy and ArgoCD to support automated build, test, and deployment workflows.
• Design, deploy, and manage Databricks workspaces, clusters, cluster policies, Unity Catalog, networking, and security integrations on AWS.
• Partner with data engineering teams to enable reliable execution of pipelines, data ingestion frameworks, batch processing, and workflow orchestration.
• Automate deployment and lifecycle management of data platform components, including Databricks jobs, workflows, libraries, secrets, service principals, and environment configurations.
• Collaborate with data engineering teams to support infrastructure components such as AWS Glue, Lambda, Databricks on AWS, DynamoDB, and Redshift.
• Monitor and optimize platform performance, reliability, and cloud costs for data engineering workloads and analytics platforms.
• Troubleshoot platform, connectivity, and workload issues.
• Utilize AWS Well-Architected Framework principles to design secure, reliable, cost-efficient, and high-performing solutions.
• Implement platform governance, access controls, security standards, and operational best practices across cloud and data platforms.
• Contribute to establishing DevOps best practices, reusable templates, and standard operating procedures across engagements.

Platform Engineer – Databricks, Cloud

• Leads complex platform security engineering initiatives spanning multiple systems, services, or engineering domains.
• Defines secure target states, reference architectures, design patterns, and technical standards for platform and shared engineering capabilities.
• Leads securing engineering and design reviews involving platform services, infrastructure patterns, and shared service integrations.
• Drives implementation of scalable controls and secure-by-default capabilities that reduce engineering friction while improving risk posture.
• Embeds security requirements into engineering workflows including CI/CD, infrastructure provisioning, deployment models, runtime operations, and service lifecycle management.
• Partners with Information Security Engineering, Product Security, Platform Engineering, Infrastructure, and developer teams to align design choices and delivery priorities.
• Leads evaluation and adoption of new platform security technologies, patterns, and automation opportunities.
• Translates policy and control expectations into practical engineering solutions and measurable implementation guidance.
• Identifies and drives remediation of systemic platform risks, recurring control failures, and engineering weaknesses.
• Mentors engineers, elevates technical practices, and contributes to a culture of secure engineering excellence.

Staff Platform Security Engineer – Cloud, AWS

• You will be responsible for defining and advancing the organization's enterprise network security architecture and long-term cybersecurity strategy.
• You will be a senior technical leader, driving innovation, large-scale security architecture initiatives, and the adoption of next-generation security capabilities across the enterprise.
• Partner closely with executive leadership, engineering teams, and architecture groups to ensure the organization maintains a resilient, scalable, and modern network security posture across hybrid infrastructure including on-premise data centers, multi-cloud platforms, and modern application environments.
• Drive the modernization of network security governance processes by improving consistency, scalability, transparency, and measurable outcomes.
• Partner with architecture, engineering, risk, and business stakeholders to translate security requirements into scalable controls and automated governance capabilities that improve risk-based decision-making.
• Identify and lead opportunities to reduce manual effort through automation, workflow optimization, and engineering-led solutions.
• Promote the adoption of Policy-as-Code, Process-as-Code, and other scalable approaches that improve governance effectiveness and operational efficiency.
• Establish repeatable, measurable, and automated methods for evaluating security controls, policy compliance, and governance outcomes.
• Lead initiatives that leverage AI-assisted workflows to simplify complex analysis, enhance operational effectiveness, and improve security outcomes.
• Establish best practices for applying AI technologies to improve scalability, efficiency, and consistency across network security functions.

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