Cloud Partner Solutions Engineer Jobs

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Data Team: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: Self-serve AI analytics tools (Hex, Snowflake) Embedding with teams as a “data adviser”, providing strategic analysis and consulting What You'll Do: Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting Influence work on new products like LLM Inference Endpoints through product analytics tracking Identify millions of dollars of cost savings and optimization across our tools and financial operations Write data pipelines that power the operations of our business, such as ou

Become a part of our caring community Job Description Summary The Lead Solutions Architect provides architecture leadership for CenterWell Home Health programs and platforms, shaping conceptual and reference architectures, governing solution designs, and aligning delivery teams to cloud and data strategies. The scope includes high-priority initiatives as well as interoperability and provider-data integrations that span CenterWell and Humana Insurance. As Lead Solution Architect, you'll be the senior individual contributor on a team with broad accountability across CenterWell's dispensing pharmacy portfolio — mail order, specialty, retail, and associated platforms. You'll own the architectural vision for complex, multi-system initiatives, shape how technology decisions get made, and act as a connective force between business strategy, engineering execution, and enterprise standards. You will operate within CenterWell IT – Cross-CenterWell Architecture. You will collaborate with product, engineering, EA Activation, security, data, and operations. You will engage governance forums to enable Integrated Health across CenterWell and Humana Insurance. Key Activities Quickly conduct structured knowledge transfer with existing architects and relevant stakeholders to capture critical in-flight designs and decisions. Review current initiatives and establish an architectural roadmap aligned with organizational priorities. Develop or refine reference architectures and design patterns for core platforms and solutions. Collaborate with governance and compliance teams to validate designs against enterprise standards and regulatory requirements. Define integration strategies and solution blueprints for key systems and data flows. Establish architecture review processes and decision forums to support de

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Role Summary At CVS Health®, you’ll be working with a team of passionate colleagues who care deeply, innovate with purpose, hold themselves accountable and prioritize safety and quality in everything we do. Do you enjoy innovation while having fun doing it? If the answer yes, then this role might be for you! Join us and be part of something bigger, innovative and simplification in healthcare. We are seeking a highly experienced and innovative Principal (Director Level) Software Development Engineer to lead the application architecture, design, development, delivery of next-generation digital applications (including Reporting and financial solutions), and optimization of scalable, secure, and high-performance solutions leveraging AI across all major cloud platforms (AWS, Azure, and GCP). This role requires deep technical expertise, AI-enabled solutions, strategic thinking, scalable digital platforms, and enterprise integrations that power critical healthcare and pharmacy experiences and a passion for driving excellence in software engineering practices. This is a senior technical leadership role for a hands-on engineer who can operate across the full stack—from intuitive front-end applications to resilient backend services—while setting architectural direction, influencing engineering standards, and mentoring teams. The ideal candidate combines deep technical expertise, platform thin

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll set technical direction for the primitives that other teams (filesystems, training, sandboxes) build on, balancing durability, latency, throughput, and cost. You'll own the roadmap from today's hardest problems (garbage collection at petabyte scale, active-active replication, rate limiting that protects the upstream without wasting ut

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll own the full lifecycle of a machine, from accepting and benchmarking new hardware from a growing set of providers, to network bring-up, kernel and image management, GPU and disk health tracking, and automated remediation of unhealthy hosts. You'll manage a team of 3–8 engineers while staying hands-on across the stack which involves BMCs, firmware, PXE, bootloaders, Linux networking, drivers, and distributed control-plane services, and you'll shape our long-

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll automate the integration of new capacity from a growing set of hardware providers; from auditing and benchmarking hosts and clusters, to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You'll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You'll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kern

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collection over billions of objects. You'

Location: Doha | Practice Area : Technology & Engineering | Type: Permanent The Role Capco is looking for a Security Architect to help our clients design and deliver secure, resilient cloud environments. You’ll work across business, security, architecture, engineering, risk, and technology teams to embed security into cloud transformation programmes from the outset. This is an opportunity to tackle complex security challenges within financial services, helping clients adopt cloud technologies confidently while maintaining strong governance, regulatory compliance, and security controls. What You’ll Do Designing and implementing cloud security strategies and policies that meet an organisation's specific needs. Design secure architectures and security patterns across public, private, and hybrid cloud environments. Define and implement cloud security controls, standards, guardrails, and architecture principles aligned with business and regulatory requirements. Work with engineering and platform teams to embed security throughout cloud infrastructure, applications, and delivery pipelines. Conducting regular security assessments and audits to identify vulnerabilities and develop plans to address them. Assess cloud security risks, identify control gaps, and provide practical recommendations that balance security, resilience, and business requirements. Collaborate with security, risk, architecture, and technology stakeholders to support secure cloud adoption and transformation. What We’re Looking For Strong experience in cloud security architecture, cybersecurity architecture, or cloud infrastructure security. Practical knowledge of security architecture principles, identity and access management, encryption, network security, logging, monitoring, and cloud-native security controls. Experience designing security solutions across major cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Strong understanding of security frameworks, governance, risk man

About eClinical Solutions eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it. You will make an impact: As a Principal Full Stack Software Engineer , you will be a technical leader within the elluminate Product Development team. You’ll help design and build the core services and user experiences of a next-generation clinical data and analytics platform—while influencing architecture, engineering standards, and technical direction. This role is ideal for an experienced engineer who enjoys hands-on development , mentoring others, and bringing modern capabilities—including AI-assisted and agentic workflows—into production-grade systems . Your day to day: Design, develop, test, and deploy scalable, secure, and highly interactive web applications Own and evolve core platform modules , from concept through release and support Influence application and system architecture with a focus on performance, reliability, security, and maintainability Lead by example through clean, well-tested code , thoughtful design reviews, and pragmatic technical decisions Collaborate closely with Product Management, QA, and other engineers throughout the SDLC Provide technical mentorship and guidance to other engineers on the team Diagnoses and resolves complex production issues across distributed systems Ensure solutions meet eClinica

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! About the Role We are seeking a seasoned Manager, Software Engineering with 12+ years of experience to lead our Database Engineering and Cloud Infrastructure team. In this role, you will lead a team of high-performing engineers responsible for architecting, scaling, and optimizing multi-cloud relational and in-memory database platforms. You will bridge technical execution, engineering leadership, and strategic infrastructure planning across AWS and Azure environments. Key Responsibilities Technical Leadership & Architecture Lead the architectural design and operations of enterprise-grade, multi-cloud relational databases across AWS (RDS PostgreSQL, MySQL, Aurora) and Azure (Database for PostgreSQL/MySQL, Azure SQL Managed Instance). Drive high-availability architecture strategies, including Multi-AZ deployments, auto-failover groups, read replica scaling, and cross-region disaster recovery (DR). Oversee zero-downtime operations, including major-version engine upgrades, schema migrations, and blue/green deployment strategies. In-Memory Infrastructure & Open-Source Strategy Manage scale operations for in-memory datastores (AWS ElastiCache, Azure Cache for Redis), focusing on cluster mode operations, eviction policies, and persistence tuning. Spearhead open-source caching initiatives and migration pathways from Redis to Valkey (e.g., AWS ElastiCache for Valkey) using zero-downtime tools like RedisShake to ensure open-source license compliance and optimize cloud spend. Aut

Position Overview We are looking for a Software Engineer II to build and deliver scalable software solutions across our products. You will work on modern web applications and cloud-based services using Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, and Docker, while contributing to AI-enabled features and integrations. You will collaborate closely with other engineers, product managers, and cross-functional teams to develop reliable, maintainable, and production-ready solutions. This role provides an opportunity to work with modern AI technologies including Python, AWS Bedrock, MCP, RAG, and agentic AI workflows while developing strong expertise in cloud-native software engineering. What You'll Do Develop and maintain scalable backend services and APIs using Node.js, TypeScript, and JavaScript. Build responsive and maintainable frontend applications using React. Design and implement integrations with AWS services and contribute to cloud-native application development. Develop and maintain applications using PostgreSQL and MSSQL, including writing efficient queries and working with database schemas. Build, test, and deploy applications using Docker and modern CI/CD practices. Contribute to AI-enabled product features using Python, AWS Bedrock, RAG, MCP, and AI integration patterns. Work with the team to integrate LLM capabilities, APIs, tools, and data sources into production applications. Write clean, maintainable, and well-tested code following established engineering practices. Participate in code reviews, technical discussions, debugging, and production issue resolution. Develop unit and integration tests and contribute to improving application quality and reliability. Monitor application performance and troubleshoot issues across development and production environments. Collaborate with senior engineers and architects to implement technical solutions aligned with product and engineering requirements. Stay current with emerging technologies, particularly in

Who We Are Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed. We don’t just make bold promises—we deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise. While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award-winning onboarding experience welcomes and supports you from the moment you accept our offer. Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you. #UatInsurity What’s In It For U Work Where You Thrive: Find a hybrid work environment that allows you to enjoy great work life balance, stay connected and collaborative Generous Time Off : Our leadership believes in taking the time you need when you need it. Day One Health Benefits + Employer-Matched Retirement Savings : You might think these are table stakes, but we know these matter to you. More Than Just Core Values : Our values are fundamental in how we attract, train, and retain top talent. Award-Winning Onboarding Program : We set you up from the get-go to make a significant impact from Day One and follow you through your entire first year. Real Career Growth Opportunities

Senior Security Engineer Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Lead advanced security engineering initiatives that safeguard the future of digital finance The Role As a Senior Security Engineer at Capco, you’ll lead the design and implementation of secure systems and processes across cloud and on-premise platforms. You’ll collaborate closely with engineering and client teams to embed security-by-design principles throughout the SDLC, integrate automated security tooling, and ensure resilience against evolving cyber threats. You’ll also use approved AI tools and AI-enabled workflows where appropriate to improve the speed, quality and effectiveness of security engineering, while maintaining human judgement, responsible AI guardrails and appropriate review and escalation. What You’ll Do Design and implement enterprise-wide security controls and frameworks, using approved AI and automation where appropriate to improve security outcomes Embed security controls into CI/CD pipelines (SAST, SCA, DAST, container scanning) and enable secure SDLC practices Collaborate across teams to champion secure development practices and responsible use of AI-enabled security workflows Lead vulnerability assessments, code reviews and security audits across infrastructure and applications, maintaining appropriate human review, audit trails and escalation pathways Develop and evolve security standards, engineering patterns and data protection strategies What We’re Looking For Strong hands-on experience with Palo Alto, Microsoft or similar security ecosystems Deep understanding of cloud security for AWS, Azure or GCP platforms Proven expertise in secure coding, endpoint protection, SIEM and IAM Familiarity with frameworks and standards such as ISO 27001, NIST and OWASP, alongside an understanding of responsible AI, security guardrails and human-in-the-loop controls Proficiency in Python, Bash, PowerShell or Go for security automation and to

Principal Security Engineer Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Lead advanced security engineering initiatives that safeguard the future of digital finance The Role As a Principal Security Engineer at Capco, you’ll lead the design and implementation of secure systems and processes across cloud and on-premise platforms. You’ll collaborate closely with engineering and client teams to embed security-by-design principles throughout the SDLC, integrate automated security tooling, and ensure resilience against evolving cyber threats. You’ll also use approved AI tools and AI-enabled workflows where appropriate to improve the speed, quality and effectiveness of security engineering, while maintaining human judgement, responsible AI guardrails and appropriate review and escalation. What You’ll Do Design and implement enterprise-wide security controls and frameworks, using approved AI and automation where appropriate to improve security outcomes Embed security controls into CI/CD pipelines (SAST, SCA, DAST, container scanning) and enable secure SDLC practices Collaborate across teams to champion secure development practices and responsible use of AI-enabled security workflows Lead vulnerability assessments, code reviews and security audits across infrastructure and applications, maintaining appropriate human review, audit trails and escalation pathways Develop and evolve security standards, engineering patterns and data protection strategies What We’re Looking For Strong hands-on experience with Palo Alto, Microsoft or similar security ecosystems Deep understanding of cloud security for AWS, Azure or GCP platforms Proven expertise in secure coding, endpoint protection, SIEM and IAM Familiarity with frameworks and standards such as ISO 27001, NIST and OWASP, alongside an understanding of responsible AI, security guardrails and human-in-the-loop controls Proficiency in Python, Bash, PowerShell or Go for security automation

Solution Consulting & Customer Discovery: Lead consultative discovery conversations to comprehend customer workflows, business challenges, and success metrics. Translate customer needs into tailored Adobe solution recommendations across Document Cloud and Creative Cloud offerings. Design and deliver impactful, customized product demonstrations aligned with customer use cases and industry context. Position Adobe solutions through value-based storytelling, emphasizing productivity, collaboration, and workflow outcomes. Deal Strategy & Sales Execution: Collaborate closely with ICX Sales Advisors to advance opportunities throughout the sales cycle and support deal closure. Influence deal strategy by: Positioning solutions effectively Articulating use cases Discussing ROI and value Highlighting competitive differentiation Support pricing discussions, licensing clarity, procurement conversations, and objection handling. Drive momentum on opportunities to enhance pipeline conversion and opportunity closure ratios. Growth Product Acceleration: Serve as the primary specialist resource for growth products like Acrobat Studio, Acrobat Express, Adobe Sign, and related offerings. Drive revenue impact through: Significant deal influence Expansion of growth products Strategic upsell and cross-sell opportunities Support outbound and targeted engagement motions that introduce new Adobe solutions to customers. Product Expertise & Customer Advisory: Provide expert guidance and advice to customers on product usage and best practices. Collaborate with p