Cloud Engineer

• 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

• 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

• 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

• 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

• 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

• Design, develop, and implement cloud-based applications and infrastructure solutions
• Build and maintain cloud environments that align with security and operational standards
• Automate and orchestrate cloud platforms using modern DevOps and Infrastructure-as-Code practices
• Develop and maintain APIs, web services, and integration solutions across enterprise platforms
• Support application deployment, troubleshooting, testing, and continuous integration activities
• Collaborate with cross-functional teams in Agile environments to drive rapid delivery and innovation
• Research and implement emerging technologies to improve platform performance and engineering efficiency
• Lead cloud engineering best practices and mentor team members on cloud adoption and modernization initiatives

Senior Cloud Engineer

• 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 – Risk Tech, Python, AWS

• Design, implement, and automate security controls across cloud and AI environments, ensuring secure-by-default architecture, continuous compliance, and protection against evolving threats.
• Implement and operate AI Security Posture Management (AI SPM) solutions, including Cloud security posture management to continuously assess, detect, and remediate risks across AI and cloud environments.
• Secure AI and Generative AI workloads, including model pipelines, training data, inference APIs, and LLM integrations against threats such as prompt injection, data leakage, model abuse, and adversarial attacks.
• Design and implement AI SPM controls to provide visibility into AI assets, monitor model usage and access patterns, enforce security guardrails, and manage AI risks across the full lifecycle.
• Embed security into CI/CD and MLOps pipelines (DevSecOps) using automated controls such as SAST/DAST, IaC scanning, secrets detection, and compliance enforcement gates.
• Develop and maintain security policies and policy-as-code frameworks (e.g., Azure Policy) to enforce governance, regulatory compliance, and responsible AI usage.
• Engineer monitoring, detection, and response capabilities for cloud and AI systems, integrating telemetry with SIEM/SOAR platforms for centralized visibility and automated response.
• Perform security testing and validation across cloud, application, API, and AI layers, including AI-specific scenarios such as prompt injection and model misuse prior to production deployment.
• Automate security operations through scripting and tooling (e.g., Python, PowerShell) to improve efficiency, scalability, and consistency of controls.
• Conduct risk assessments, threat modeling, and security reviews for cloud infrastructure and AI systems to identify vulnerabilities and implement mitigation strategies.
• Collaborate with AI teams, and security stakeholders to drive secure-by-design architectures and enable scalable, governed AI adoption.

Lead AI Cloud Security Engineer

• Lead the architecture and design of cloud-native solutions across a multi-cloud environment (Azure, AWS, Alibaba Cloud)
• Define scalable platform strategies using PaaS, containers, and serverless technologies
• Drive the transformation of legacy systems into modern, microservices-based architectures
• Guide the migration from IaaS to PaaS-first models to improve scalability, efficiency, and cost optimization
• Design distributed systems using event-driven and API-first approaches
• Establish reusable architecture patterns, standards, and templates
• Partner with business and technology stakeholders to align architecture decisions
• Contribute to AI platform architecture, including Generative AI
• Promote DevOps, Infrastructure as Code, and automation practices
• Define observability and monitoring strategies to ensure high system performance and resilience

Senior Cloud Architect – Azure, AI Platforms

• The API/Microservices/AWS Software Engineer designs and builds scalable, cloud-based microservices on AWS, using Java and modern DevOps practices.
• You’ll partner with architects and teams to deliver reliable, high-performing APIs and services in a fast-paced, Agile environment.
• Be involved in designing and building services in a continuous delivery model on a cloud platform.
• Partner with leads and architects to help establish a technical vision and deliver innovative services which are consistent, maintainable, and highly scalable for various commerce experiences.
• Work within microservices architecture, domain driven design, and RESTful APIs using Java.
• Work in a distributed/cloud-based environment, including Amazon Web Services & Kubernetes with high transaction volumes.
• Use data structures, algorithms, and architecture patterns.
• Define solutions, provide estimates on effort and risk, and evaluate technical feasibility.
• Use modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests.
• Practice full DevOps to ensure a culture of testing and releasing software on Amazon Web Services continuously using automation and monitoring.
• Leverage NoSQL using Amazon Web Services to ensure data storage is designed for security, reliability, availability, maintainability, and performance.
• Deliver software in a Scrum development process.
• Perform technical code reviews and pair programming.
• Partner with other teams to ensure the service ecosystem is loosely coupled and scalable.

Software Engineer – API, Microservices, AWS

• Lead Business Operations and Planning for the CloudOps Software and Platform Group within the Hybrid Cloud Business Unit.
• Develop, manage and evaluate operational business plans insuring they are executed in alignment with business strategy, key priorities and allocated budgets.
• Drive operational management of the CloudOps Software and Platform business financial plans.
• Overses budget management for multiple, complex businesses and accountable for adhering to stated budgets, managing monthly forecasting and month-end-close activities.
• Deliver financial performance analysis and reporting to manage budgets and forecasts.
• Lead and drive the Long-Term Planning (LTP) efforts for the CloudOps Software and Platform business.
• Work with business leaders on portfolio plans that enable execution of business strategies.
• Leads complex business planning initiatives at global and cross-business unit levels.
• Balances short term with long term strategies and resource investment.
• Drive high-impact organizational and operational planning initiatives.

Director, Business Operations – CloudOps Software & Platform

• 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

• Improve the security of cloud architecture across our AWS environments.
• Embed security into the software development life cycle (SDLC).
• Implement and manage security tooling.
• Partner with engineering teams to remediate vulnerabilities and reduce risk
• Integrate security into CI/CD pipelines and developer workflows.
• Build automated security checks, policy-as-code, and guardrails.
• Enable “shift-left” security practices across engineering teams.
• Design, update and enforce least-privilege access models across infrastructure and applications.
• Establish logging, monitoring, and alerting for both infrastructure and application layers.
• Lead response to cloud and application security incidents.
• Conduct root cause analysis and drive systemic improvements.
• Ensure systems meet regulatory requirements (ISO 27001).
• Define policies for secure development and cloud usage.
• Support audits and continuous compliance initiatives.
• Mentor engineers on both cloud and application security practices.

Senior Software Engineer, Cloud Security

• Design scalable, resilient, and secure cloud solutions for Google environment.
• Evaluate emerging cloud technologies and assess their potential impact on organizational goals.
• ​Drive adoption of DevOps practices, infrastructure as code, and automation frameworks.
• Optimize application performance and reliability in cloud environments.
• ​Design secure cloud architectures implementing zero-trust principles and defense-in-depth strategies.
• ​Ensure compliance with industry standards (SOC 2, HIPAA, PCI-DSS, etc.) and regulatory requirements.
• ​Implement identity and access management solutions and security monitoring frameworks.
• Facilitate customer onboarding and implement a consistent pathway to cloud adoption.
• Assess legacy systems and design modernization strategies including containerization and microservices.
• ​Develop migration methodologies and ensure minimal organizational disruption during transitions.
• Manage and optimize cloud environments, networking, VPNs, IaaS, PaaS, and SQL systems.
• Implement and maintain Jenkins, Terraform, Ansible, Kubernetes, Jira, Confluence, Artifactory, and Guacamole to support DevSecOps practices.
• Containerize applications to enhance scalability and deployment efficiency.
• Support the design and development of Shared Services.
• Configure and troubleshoot cloud, virtual, and physical hardware and software systems.
• Establish and maintain SQL and NoSQL databases, ensuring their performance and reliability.
• Prepare detailed technical documentation to support development and operational processes.
• Conduct security assessments and remediate vulnerabilities in cloud environments.
• Collaborate with cross-functional teams including development, operations, security, and product management.
• ​Create reference architectures, design patterns, and technical standards for cloud implementations.

• 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

• Provide expertise in the design, implementation, testing, and delivery of automated solutions for account management, platform governance, and platform infrastructure within our public cloud platform domain (AWS)
• Work directly with product management and your team while analyzing and decomposing complex software requirements into simple user stories for planning and execution.
• Collaborate with your team to estimate the size and complexity of the features.
• Perform the technical design, implementation, and testing of features and commit to stories to be accomplished in an iteration.
• Be a strong contributor to product features, helping ensure that development activities are coordinated throughout the development cycle achieving scalable, automated solutions for our customer base.
• Mentor more junior engineers on the team in areas of specific expertise.
• Assist other teams or ARTs on tasks in areas where your specific expertise is needed.
• Own system and feature quality throughout the development, testing and deployment phases to ensure quality delivery expectations are met.
• Drive value and build to continuously improve the quality of the team’s deliverables, authoring well engineered solutions using test-first/test-driven methodologies.
• Conduct new technology research, proof of concept, and design work that will provide direction for the enhancement of the overall system and products.
• Provide ongoing maintenance, support and enhancements in existing systems and platforms.
• Model and contribute to the continuous improvement of your team.
• Work alongside other software engineers to elevate technology and consistently apply best practices for design, coding standards, performance, security, delivery, and maintainability.
• Demonstrate ownership of developed components from development through production.
• Exemplify the principles behind the Agile Manifesto and SAFe framework in all interactions.

Senior Cloud Platform Engineer

• lead key functions that scale across the organization and enable strategy development and implementation
• work across the ECIO senior leadership team to drive strategic planning, executive communications, management routines, as well as own specific strategic programs

Cloud Engineer jobs in Massachusetts

See all jobs on JobTailor

AWS Cloud AI Engineer

Senior Forward Deployed AI Engineer, GenAI, AWS

Software Engineer – AI & Cloud Engineering

Google Cloud Platform Engineer

Principal Cloud Developer

Software Engineer 3 – AI, ML, Cloud

Forward Deployed AI Engineer, GenAI, AWS

Senior Cloud Engineer

Lead Data Engineer – Risk Tech, Python, AWS

Lead AI Cloud Security Engineer

Senior Cloud Architect – Azure, AI Platforms

Software Engineer – API, Microservices, AWS

Director, Business Operations – CloudOps Software & Platform

Principal Software Engineer, Python, Oracle, AWS

Senior Cloud Security Architect

Senior Software Engineer, Cloud Security

Google Cloud Platform Engineer

Senior Software Engineer, Python, Oracle, AWS

Senior Cloud Platform Engineer

Head of Strategy, Planning and Product Enablement – Enterprise Cloud Infrastructure and Operations