336 jobs found

Job Description Staff Data Engineer Location: Scottsdale, AZ Monday-Thursday onsite, Friday remote We're partnering with a hospitality technology company to find a Staff Data Engineer to help build and improve a cloud-based data platform supporting thousands of hotel properties. The platform handles reservation, guest, rate, and operational data used across the business. This is a hands-on technical leadership role for someone who enjoys building data systems while helping shape the architecture behind them. You'll work across multiple initiatives, guide technical decisions, and mentor senior engineers. This position has no direct reports. What you'll do: Design, build, and improve data pipelines and distributed processing solutions using AWS, Apache Spark, Python, and SQL. Help define the platform's architecture, engineering standards, and technical direction. Improve scalability, performance, reliability, and monitoring across data systems. Partner with engineering teams and business stakeholders to translate requirements into practical technical solutions. Mentor senior engineers through design discussions, code reviews, and hands-on problem solving. Support automated testing, CI/CD, and infrastructure as code practices. What we're looking for: 8+ years of relevant data engineering experience. Strong hands-on expertise with AWS, Apache Spark, Python, and SQL. Experience designing cloud data platforms, distributed systems, and data warehouse solutions. A track record of owning complex technical projects and guiding architecture decisions across teams. Experience improving production systems through monitoring, troubleshooting, and performance optimization. Strong communication skills and the ability to explain technical decisions to different audiences. Experience with generative AI is a plus. Candidates must be authorized to work in the U.S. without sponsorship.

Job Description JCW has partnered with a leading digital assets and data center infrastructure firm to identify a Vice President, DevOps/SRE to lead their infrastructure automation platform across data center operations. Based in Chicago, this is a senior technical leadership role for a DevOps/SRE professional who can steer an enterprise automation roadmap while remaining hands-on enough to dive into the code. The ideal candidate treats infrastructure as a product and has a proven track record building self-service automation platforms in complex hybrid environments. They are equally comfortable setting IaC governance standards and mentoring a team of engineers. This individual operates with an automate-first mindset, drives engineering velocity, and brings deep expertise across Terraform, Ansible, and VMware in large-scale environments. Key Qualifications 6-10 years of experience in infrastructure, DevOps, or SRE with a focus on automation at scale Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX) Hands-on experience with image creation tooling (Packer, SCCM) for hardened Windows and Linux builds in hybrid environments Strong experience managing and automating VMware (vSphere/vCenter) and cloud platforms (Azure, AWS) High-level scripting skills across Python, Go, PowerShell, and Bash Experience with observability tools such as Splunk, ELK, Prometheus, or Grafana Strong mastery of Git branching strategies and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions) Understanding of network topology with experience on platforms such as Juniper or Palo Alto Prior team leadership or management experience strongly preferred

Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.

Job Description Lead DevOps Engineer Job Description We are seeking an experienced Lead DevOps Engineer to drive the architecture, development, and implementation of enterprise cloud infrastructure and automation solutions. This hands-on leadership role will focus on AWS cloud environments, Infrastructure as Code, CI/CD pipelines, and cloud-native technologies while partnering with product, engineering, and client stakeholders to deliver scalable, secure, and reliable solutions. Key Responsibilities Lead the design and implementation of DevOps strategies, cloud architecture, and infrastructure automation. Build and optimize CI/CD pipelines and automated workflows using Terraform, Jenkins, GitHub Actions, and related tools. Architect and deploy cloud-native applications and infrastructure within AWS environments. Establish best practices for cloud security, infrastructure management, application deployment, and operational reliability. Collaborate with engineering and product teams to solve complex technical challenges and drive delivery. Provide technical leadership and mentorship while evaluating and introducing new cloud technologies. Communicate architectural decisions and technical solutions to both technical teams and client stakeholders. Required Qualifications 12+ years of experience in DevOps, cloud infrastructure, and automation, including 5+ years in a senior or technical leadership role. Strong hands-on expertise with AWS cloud services and cloud-native architecture. Advanced experience with Terraform and Infrastructure as Code. Expertise in CI/CD tools such as GitHub Actions and Jenkins. Experience with Docker and Kubernetes, along with cloud deployment and orchestration practices. Strong understanding of cloud security, software architecture, and Agile development methodologies. Proficiency in at least one programming language, preferably Python. Excellent communication, problem-solving, and technical leadership skills. Preferred Qualifications Experience with AWS Lambda, serverless architecture, CloudFormation, CDK, and Helm. Knowledge of AWS IAM, HashiCorp Vault, CyberArk, and cloud security practices. Familiarity with AWS database services, including Aurora and DynamoDB. Exposure to AI infrastructure and services such as AWS Bedrock, AgentCore, LLM gateways, and LangChain. Experience with AI coding assistants such as Claude Code, Codex, or Cursor and AI-driven software development practices.

Job Description About our client Our client is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. They enable businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide. Since their seed round in 2024, they have achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, the company announced a $25M Series A in October 2025, led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures, accelerating their mission to power the world's fastest-moving businesses with innovative, reliable global payments. Our client is proudly headquartered in Chicago, IL. About The Role We're looking for a Senior Software Engineer to help build the core infrastructure powering global payments. You'll design and implement systems that process billions of dollars in transactions, working across the payment orchestration layer, merchant APIs, and real-time settlement engine. This is a high-impact role where your code ships to production quickly and handles real money from day one. You'll collaborate closely with Product to shape what we build, with fellow engineers on how we build it, and have significant ownership over the systems you create. What You'll Do Build Core Payment Infrastructure Design and implement payment processing systems that handle high throughput and strict reliability requirements Build APIs and SDKs that merchants use to integrate the platform into their own Develop fraud detection and risk management features using real-time data analysis Scale Our Platform Architect systems for performance, reliability, and observability at scale Optimize database queries, caching strategies, and service communication patterns Instrument services for monitoring, alerting, and debugging production issues Ship Product Features Work end-to-end on features from technical design through deployment and iteration Collaborate with Product and Design to translate requirements into elegant technical solutions Balance speed of delivery with code quality and long-term maintainability Improve How We Work Contribute to technical decisions around architecture, tooling, and best practices Mentor other engineers through code review, pairing, and knowledge sharing Help shape engineering culture as the team grows What We're Looking For 5+ years of professional software engineering experience Strong proficiency in TypeScript and Node.js; experience with React is a plus Deep understanding of REST API design, relational and document databases (especially MongoDB), and distributed systems concepts Experience building systems that handle high transaction volumes or strict correctness requirements Comfortable with cloud infrastructure (AWS, GCP, or similar) and containerized deployments Track record of shipping and maintaining production systems Clear communicator who can discuss technical tradeoffs with engineers and non-engineers alike Bonus: Experience in payments, fintech, or blockchain/crypto What's on offer Competitive base salary plus an equity grant, allowing you to share in the long-term success of the company. You will also have access to a wide array of benefits, including health and wellness benefits, 401(k) savings plan, and flexible time off. Join the team rewriting how money moves worldwide, and become a driving force in the $194 trillion cross-border payments market.

Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details

Job Description Role Overview: The Vice President, Workforce Identity and Directory Services, serves as the primary owner of all Active Directory-related infrastructure and strategy. This role leads the design, governance, and modernization of the enterprise identity platform across on-premises, hybrid, and cloud environments. The VP is responsible for developing long-term technology roadmaps, driving security best practices, and partnering with Security, Infrastructure, and Application teams to deliver scalable, resilient identity services aligned with business objectives. Key Responsibilities: Serve as the primary owner and point of contact for all Active Directory infrastructure, strategy, and operations across on-premises and cloud environments. Lead and execute a long-term technology roadmap to modernize the Active Directory environment, including forest and domain consolidation, AD tiering model implementation, strategic reduction and decommissioning of on-premises domain controllers, and accelerating workload migration from on-premises AD to Microsoft Entra ID. Architect and govern enterprise Active Directory Domain Services (AD DS), Active Directory Certificate Services (AD CS), DNS, and DHCP, PKI, ensuring high availability, disaster recovery readiness, and security at scale. Drive the adoption and optimization of Microsoft Entra ID security features, including Conditional Access, Identity Protection, Identity Governance, Workload Identities, and Entra Permissions Management. Govern Entra ID external collaboration and application identity, including cross-tenant access policies, B2B guest account lifecycle, app registration and enterprise application management, API permission and consent policy governance, and service principal security and credential rotation. Manage hybrid Active Directory environments, including Azure AD Connect / Cloud Sync configuration, seamless SSO, pass-through authentication, and directory synchronization health monitoring. Design and enforce Group Policy architecture at scale, including GPO lifecycle management, security baselines, and policy inheritance strategies across complex OU structures. Establish and enforce identity security best practices, policies, and standards across the organization in alignment with zero trust principles and AD tiering models (Enhanced Security Admin Environment). Oversee Kerberos, NTLM, LDAP, and certificate-based authentication protocols, driving migration away from legacy protocols toward modern authentication standards. Lead AD Forest and domain trust management, replication topology optimization, Sites and Services configuration, and schema extension governance. Partner with Security, Compliance, and Risk teams to ensure identity infrastructure meets regulatory and audit requirements, including SOX, NIST, and industry-specific mandates. Oversee incident response, disaster recovery, and root cause analysis for identity-related security events, AD replication failures, and service disruptions. Evaluate emerging identity technologies and industry trends including passwordless authentication, decentralized identity, and AI-driven threat detection to inform strategic planning and investment decisions. Required Qualifications: 10+ years of progressive experience in IT infrastructure with a focus on Active Directory and identity management, including at least 5 years in an architect or senior engineering capacity. Deep knowledge of Microsoft 365 from an identity and access management perspective, including Exchange Online, SharePoint Online, and Teams integration with Entra ID, M365 group and license management, app consent frameworks, service principals, and Microsoft 365 Defender for identity-related threat detection. Deep fluency in authentication and federation protocols, including SAML, OAuth 2.0, OpenID Connect, WS-Federation, Kerberos, LDAP, and NTLM, with a track record of migrating environments away from legacy protocols. Experience implementing passwordless authentication strategies, including FIDO2, Windows Hello for Business, and certificate-based authentication via PKI. Hands-on experience with Active Directory security assessment and hardening tools such as BloodHound, PingCastle, and Purple Knight for attack path analysis and security posture evaluation. Knowledge of service account governance, including Group Managed Service Accounts (gMSA), and endpoint security tooling such as LAPS. Proficiency with PowerShell, Terraform, DSC, and Microsoft Graph API for identity infrastructure automation, reporting, and configuration drift detection. Working knowledge of NIST, SOX, or other regulatory compliance frameworks as they relate to identity management and PKI governance. Microsoft certifications such as Microsoft Certified: Identity and Access Administrator Associate, Azure Solutions Architect Expert, or Cybersecurity Architect Expert. Proven track record of building, mentoring, and managing high-performing identity engineering teams. Excellent communication and stakeholder management skills, to include translating complex identity concepts for non-technical audiences and influence at all levels of the organization. Preferred Qualifications: Identity architecture and strategic technology vision Enterprise security and zero trust mindset Deep technical problem solving across complex, multi-forest AD environments Stakeholder management and executive communication Strong ownership, accountability, and bias toward action Experience in financial services, private equity, or other highly regulated industries.

Job Description Senior Software Engineer Only W2 Location -Westlake Texas Or Covington Kentucky 5-7 years of exp in Python, API Skills, experience using Jenkins for CI/CD, containerization skills in Kubernetes, and AWS services exp. The Role Design, develop, test, deploy, and maintain production-quality Python applications, APIs, libraries, packages, and reusable components. Apply object-oriented programming, modular architecture, design patterns, and clean-code principles to create maintainable, extensible, and scalable software. Demonstrate advanced Python proficiency, including classes, modules, functions, data structures, type hints, packaging, dependency management, exception handling, and asynchronous or parallel-processing concepts. Develop reusable frameworks, utilities, templates, and self-service capabilities that reduce duplication and improve developer productivity. Design, configure, deploy, and support containerized applications on Kubernetes in AWS, Azure, or comparable public-cloud environments. Use Infrastructure as Code tools such as Terraform, AWS CloudFormation, or Azure Resource Manager templates to automate cloud and platform infrastructure. Build and maintain CI/CD workflows using technologies such as GitHub, Jenkins, and Artifactory for source control, testing, packaging, artifact management, deployment, and release automation. Nice to have: Familiarity with ETL/ELT pipelines, Apache Airflow, Apache Spark, and distributed data-processing concepts is beneficial. AWS or Azure cloud certification is a plus.

Job Description Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight - the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms - from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered - at a startup, at a large company, or somewhere in between - and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture Build scalable frontend platforms using React, Next.js, and TypeScript. Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns. Develop reusable component systems and scalable frontend frameworks. Backend Engineering Build backend services using Node.js and NestJS. Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems. Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems. Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments. Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: You have designed and operated event-driven distributed systems that process high-volume real-time data. You have a deep understanding of algorithms, data structures, and time complexity - and you apply that understanding to build systems, not just pass interviews. You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production. You have hands-on experience with message queues, streaming platforms, and asynchronous workflows - Kafka, Azure Service Bus, BullMQ, or similar. You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability. You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure. You design systems end-to-end and take ownership of architecture and production outcomes - not just the code you wrote. You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making. You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3 Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM Event-Driven: Kafka, Azure Service Bus, Azure Event Grid Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux Data: SQL, NoSQL, Azure Data Fabric Compensation: $75 - $85 / Hour Our Process 15-minute video call with someone from our team 4 Proctored GQ Tests (under 2 hours) 30-45-minute final video interview Job offer If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

Job Description Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution Job Description We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. Key Responsibilities Hands-on Software Engineering & Architecture Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies. Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development. Build complex microservices-based architectures, distributed systems, and event-driven applications. Develop full-stack solutions with strong backend capabilities and practical frontend development experience. Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support. Lead technical implementation while remaining actively involved in writing and reviewing code. Develop reusable components, APIs, integrations, and enterprise application frameworks. Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects. Backend, Frontend & Full-Stack Development Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies. Design and implement RESTful APIs, microservices, and enterprise integrations. Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS. Integrate frontend applications with backend services and enterprise platforms. Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies. Implement authentication, authorization, security, and API integration patterns. Ensure application performance, maintainability, reliability, and scalability. Microservices & Cloud-Native Engineering Design and implement microservices architectures and distributed application platforms. Work with messaging and event-streaming technologies such as Apache Kafka. Build asynchronous processing, event-driven integrations, and resilient distributed services. Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions. Deploy and operate applications on AWS, Azure, or GCP. Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Apply observability practices using logging, monitoring, tracing, and performance management tools. Understand cloud-native architecture, scalability, availability, and system reliability. AI & Agentic Engineering Explore and implement AI-powered enterprise applications and intelligent workflows. Integrate LLMs and AI capabilities into existing enterprise applications and platforms. Develop AI agents, tool-calling workflows, and agent orchestration capabilities. Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations. Identify opportunities to apply AI and automation to solve client business and technology challenges. Build practical prototypes and take successful AI solutions through production implementation. Client Consulting & Strategic Account Growth Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders. Understand client technology environments, business priorities, and strategic challenges. Translate business problems into technical solutions and actionable engineering roadmaps. Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops. Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption. Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value. Build trusted relationships with client stakeholders and contribute to long-term account growth. Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials. Collaborate with leadership and account teams to shape new opportunities and support business development. Required Technical Expertise Java & Backend Engineering Extensive hands-on experience with Java and Spring Boot. Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization. Experience with REST APIs, Hibernate, JPA, and enterprise application development. Strong knowledge of backend architecture and enterprise integration patterns. Full-Stack Development Experience building frontend applications using React, JavaScript, and TypeScript. Ability to independently work across backend and frontend components. Strong understanding of API integration and application architecture. Microservices & Distributed Systems Deep experience designing and implementing microservices architectures. Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing. Understanding of scalability, resiliency, fault tolerance, and high-availability architecture. Cloud & DevOps Experience with AWS, Azure, or GCP. Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. Familiarity with Terraform or other infrastructure-as-code tools is preferred. AI & Modern Engineering Exposure to LLM integrations, generative AI, AI agents, and agentic workflows. Experience integrating AI capabilities into enterprise software is highly desirable. Required Consulting & Client Engagement Experience Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory. Demonstrated experience delivering technology solutions for external enterprise clients. Ability to manage multiple technical stakeholders and work across different client environments. Strong executive communication and presentation skills. Ability to identify additional technology opportunities and contribute to account expansion. Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Significant professional software engineering experience, ideally 8+ years. Extensive hands-on Java and backend engineering experience. Proven experience building enterprise-grade microservices and distributed systems. Full-stack development experience with modern frontend frameworks. Previous consulting or professional services experience is mandatory. Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred. What Success Looks Like You can independently design, code, and deliver complex enterprise applications. You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices. You can engage with client engineering teams and senior executives with equal confidence. You identify opportunities to solve broader client challenges beyond the immediate assignment. You help strengthen client relationships and contribute to expanding strategic accounts. You take ownership of solutions from initial discovery through architecture, implementation, and production deployment. Who Should Apply? We are looking for engineers who are not limited to writing code against predefined requirements. . click apply for full job details

Job Description Job Description: The DevOps Engineer is responsible for managing and maintaining the global enterprise platforms, maintaining the templates for the monitoring systems, integration to BigPanda, the quality of the alerting into the BigPanda eventing platform, CMDB integration, monitoring Best Practices for AWS cloud. 10 plus years working in Information Technology 4 plus years running production systems on AWS Datadog Experience with site monitoring and log monitoring tools, specifically Datadog.Certified AWS SysOps Administrator a plus. Experience with TypeScript & JavaScript Experience with DynamoDB, S3 and Cognito Good understanding of Serverless and CloudFormation Understanding of best practices for AWS, EC2, Couchbase and monitoring of containers Manages capacity planning, updates, upgrades and internal integration. Responsible for administration of monitoring tools in the APM space Coordinates with DevOps, Problem Management, etc escalations to support monitoring Manages uptime and availability and reporting Mentor, educate, and train support personnel on how to use tools Maintains knowledge on current technology by reading technology periodicals, evaluating new technologies and attending trade-shows, technical seminars and training sessions. Performs other duties as assigned and required. Duties and responsibilities may change from time to time without notice and include but are not limited to the duties described above Required Qualifications - Knowledge/Skills: Manage monitoring of overall application availability, latency and system health Determine alert standards for production environments and implement them Develop strategies for logging and indexing to improve visibility to development teams Develop and manage configuration scripts for Amazon hosted infrastructure Work with the development team and management to ensure high availability Familiarity with configuration management software such as Ansible Build reporting dashboards to assist visibility of cost and stability Provide support to teams for alarms and outages on an as-needed basis Experience with Windows Server, IIS, Docker/Kubernetes Strong understanding of systems, networks and troubleshooting techniques. Experience in automated build pipeline, and continuous integration. Source control, branching, and merging: git/svn/etc (Repository Management) Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level. Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn?t misrepresent him/herself for personal gain. Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussions, developing and maintaining relations. Technical Expertise- A commitment to increasing knowledge and skills in current technical/functional area, keeping up to date on technical developments, staying informed as to industry practices, knowing how to apply relevant technical processes to appropriate business needs. Top Skill Set / Job Characteristics: Senior-level AWS production support and engineering experience: 7 plus years of hands-on DevOps, SRE, platform engineering, or cloud infrastructure experience, including at least 5 plus years supporting, troubleshooting, and improving production workloads on AWS. Must be able to independently diagnose complex issues, lead root-cause analysis, and drive reliable solutions across services such as ECS, EKS, S3, Lambda, DocumentDB, DynamoDB, IAM, networking, logging, and monitoring. Preferred certification: AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional. Associate-level certification may be considered with strong hands-on senior experience. Advanced Terraform and infrastructure-as-code experience: 5 plus years designing, developing, debugging, and maintaining Terraform-based infrastructure for AWS at enterprise scale. Candidate should be comfortable building reusable modules, managing remote state, reviewing plans, troubleshooting drift, and applying change automation safely across non-production and production environments. Must have direct experience provisioning and managing AWS infrastructure using Terraform, not only consuming prebuilt modules. Expected to contribute to module design, code reviews, standards, documentation, and reusable patterns for services such as EKS, ECS, EC2, S3, IAM, networking, and supporting AWS services. Strong understanding of Terraform execution plans, state management, resource dependencies, module versioning, policy controls, and promotion of infrastructure changes through controlled environments. Experience with automated validation, testing, and CI/CD integration for infrastructure changes is strongly preferred. Container platform and Kubernetes/EKS depth: 5 plus years of experience with containerized workloads and 3 plus years of hands-on Kubernetes or Amazon EKS experience in production environments. Candidate should understand cluster operations, workload deployment, Helm, kubectl, autoscaling, networking, IAM/RBAC integration, troubleshooting, and platform reliability patterns. Manage and maintain Helm charts and Kubernetes manifests for repeatable application and platform deployments. Lead or significantly contribute to production deployments, upgrades, incident resolution, and operational support for Kubernetes/EKS-based platforms. Demonstrated experience deploying and troubleshooting distributed applications using Docker, ECS, Kubernetes, or EKS, including service discovery, ingress/load balancing, network policies, and logging/monitoring integration. Experience with GitOps or CI/CD-driven deployment patterns, including GitHub Actions, GitLab CI, Jenkins, Harness, Argo CD, Flux, or similar tooling. Preferred certification: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, or equivalent hands-on container platform experience.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!