Cloud 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

• 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

• Lead culture of change for cloud adoption
• Develop and coordinate the cloud architecture
• Refine and coordinate the adoption of the Cloud Strategy
• Collaborate with stakeholders to move from traditional infrastructure vendors toward cloud providers
• Partner with EA and other stakeholders to create governance for on-prem and cloud infrastructure
• Collaborate with architecture, SMEs, and stakeholders to evaluate, design, and validate cloud and infrastructure architectures
• Define and guide the enterprise AI platform and ecosystem architecture
• Establish architecture standards and governance guardrails for responsible AI adoption
• Drive sustainable cloud and infrastructure cost optimization

Cloud and AI Platform Architect

• 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

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and 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
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Lead Data Engineer, Python, PySpark, AWS

• Design, develop, and implement cloud-based applications and services across enterprise environments.
• Develop cloud service delivery models supporting PaaS, IaaS, SaaS, and DaaS.
• Automate cloud resource provisioning, deployment, monitoring, and management using DevSecOps best practices.

Senior Cloud Developer

Lead Data Engineer – Risk Tech, Python, AWS

• Design, develop, and maintain robust data pipelines and ETL processes that enable seamless integration, cleansing, harmonization, and transformations in large-scale data processing systems and data lakes/data warehouses using GCP native services.
• Implement performance tuning (partitioning, broadcast joins, caching, shuffle optimization).
• Integrate data from multiple sources (databases, APIs, cloud storage, potentially streaming).
• Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP.
• Develop scalable batch and real-time streaming data pipelines using Python, SQL, and Apache Beam.
• Implement data governance, data quality checks, and secure data access controls in alignment with strict federal security requirements.
• Collaborate with data scientists, cloud infrastructure engineers, and mission stakeholders to optimize data models and query performance.
• Design and implement CI/CD pipelines to streamline the build, test, and deployment processes.

Google Cloud Platform Data Engineer

• Shape and uphold the highest standards in healthcare nationwide.
• Influence the quality and safety of healthcare organizations across the country.
• Partner with internal industry experts to shape accreditation practices.

Full-Stack Developer, Azure, .Net

• Build the Azure data pipelines, system integrations, deployment mechanisms, and operational MLOps foundation supporting SEA dashboards, applications, and AI/ML models.
• Task 4 requires compliant data pipelines, API or service-based integrations, data ingestion, transformation, synchronization, Azure-native services, security controls, integration architecture, data-flow documentation, and validated connections.
• Design SEA data-ingestion and integration architecture.
• Connect SEA to additional authoritative Army systems.
• Build and maintain pipelines that ingest, transform, reconcile, and synchronize data.
• Develop API and service integrations using approved Army patterns.
• Support structured, semi-structured, and document-based data.
• Implement model-development and deployment environments.
• Establish CI/CD, versioning, model packaging, release, rollback, and monitoring.
• Configure identity, secrets, logging, alerting, and security controls.
• Diagnose data latency, quality, pipeline, model-endpoint, and integration failures.
• Produce architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures.
• Support Power BI and Power Apps data connections.

Azure Data Engineer, MLOps

• 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

• 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

• Collaborate with our engineering and infrastructure teams to identify and implement the most optimal cloud-based solutions for the program.
• Deploying and debugging cloud initiatives as needed in accordance with best practices throughout the development lifecycle.
• Employing exceptional problem-solving skills.
• Building and designing web services in the cloud.
• Designing and implementing cloud-based platforms throughout the program.
• Coordinate with DTP team to prioritize product backlogs for sprints and releases.
• Assist with monitoring & reporting technical variances; facilitate resolution of technical issues that adversely impact successful product delivery or total system cost.
• Assist with identifying and supporting external dependencies where needed.

• Deliver simple solutions to complex problems as a Cloud Engineer
• Tailor cutting-edge solutions to the unique requirements of our clients
• Join Common Operations Release Environment (CORE) team
• Provide high-quality, cost-effective cloud solutions
• Maintain and improve existing build and deployment processes
• Integrate with enterprise authentication services
• Manage and aggregate server logs
• Monitor and analyze system performance
• Apply configuration management disciplines
• Enforce best practices for security and reliability
• Work with A&A Teams to maintain security requirements
• Participate in SAFe and Scrum development teams

Senior Cloud Engineer

• Design, test, and implement secure operating systems, networks, and security monitoring tools.
• Manage and tune IT security systems and applications.
• Audit and manage system and network access, maintaining an active directory of authorized users.
• Collaborate with cross-functional teams to ensure security integration in all IT projects.
• Oversee the planning, implementation, and maintenance of cloud infrastructure for cybersecurity monitoring and AI platforms.
• Ensure the effective implementation and optimization of CI/CD pipelines using GitHub Actions.
• Conduct regular code reviews to maintain code quality and uphold security standards across development efforts.
• Lead, mentor, and manage a team of engineers and solution architects, fostering a high-performance culture.

Cloud Platform Engineering Manager I – Cybersecurity

• 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

• Administer and maintain Oracle Database 19c and later environments.
• Perform Oracle Grid Control 13c administration and monitoring.
• Manage Oracle APEX administration and ongoing platform support.
• Execute database maintenance, upgrades, and system health monitoring.
• Ensure database security, availability, and operational stability.
• Lead Oracle database migrations from Solaris to Linux environments.
• Manage Oracle RMAN backup and recovery processes.
• Configure and support Oracle Data Guard environments.
• Maintain disaster recovery readiness and database resiliency.
• Perform database performance tuning and optimization.
• Troubleshoot complex production database issues.
• Monitor system performance and implement corrective actions.
• Participate in production on-call rotation.
• Provide after-hours and weekend support as required by workload.
• Support Oracle cloud administration initiatives.
• Collaborate with infrastructure teams supporting enterprise cloud environments.
• Assist with database integration across enterprise platforms.
• Work closely with technical teams to support enterprise database operations.
• Document configurations, maintenance activities, and operational procedures.
• Support enterprise database best practices and operational standards.

OCI Cloud Engineer

• Develop and implement data ingestion solutions using AWS database and cloud-native technologies.
• Design, administer, and optimize relational and NoSQL database environments, including Amazon RDS (PostgreSQL, Oracle), Amazon DynamoDB, Amazon Redshift, Amazon Athena, and Amazon S3.
• Utilize AWS Database Migration Service (DMS) to migrate, replicate, and modernize database environments.
• Research, evaluate, and recommend AWS data storage architectures and database technologies to support business and technical requirements.
• Design, develop, test, deploy, and automate database solutions, including infrastructure and database build processes.
• Develop automation and administrative scripts using Python and/or Bash.
• Monitor database usage, performance, and capacity; conduct performance tuning and provide recommendations for system optimization.
• Design and implement indexing strategies, replication, backup, and disaster recovery solutions across multiple AWS Regions.
• Develop, test, implement, and maintain SQL code, stored procedures, database applications, and other database objects.
• Design scalable, secure, and resilient data models supporting transactional, analytical, and hybrid workloads.
• Design, build, and support cloud-based Data Lakes, Data Warehouses, and modern enterprise data platforms.
• Lead the design and implementation of modern database architectures that support cloud migration and application modernization initiatives.
• Maintain database security, access controls, and data integrity to protect organizational information assets.
• Develop and enforce database administration policies, standards, procedures, and governance practices.

AWS Database Administrator

• Design, develop, and implement cloud-based applications and services
• Automate cloud resource provisioning and deployment
• Analyze existing applications for cloud migration opportunities
• Evaluate cloud solutions based on performance and security
• Collaborate with software developers and cybersecurity teams

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