• Design, build, and operate scalable backend systems and cloud-native infrastructure. • Deploy, manage, and optimize applications on AWS (EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, IAM, and related services). • Design and maintain CI/CD pipelines and automated testing workflows. • Use Docker and Kubernetes for containerization and orchestration of microservices. • Implement observability solutions, including logging, monitoring, metrics, and distributed tracing. • Ensure infrastructure reliability, scalability, and operational efficiency. • Architect and build backend services using Python (FastAPI preferred) or Java (Spring Boot / Quarkus). • Design and implement scalable RESTful and GraphQL APIs. • Develop asynchronous processing pipelines using technologies such as Celery, RabbitMQ, Redis, or similar. • Design and optimize database schemas using PostgreSQL, MySQL, or NoSQL databases. • Implement caching strategies to ensure high performance and low latency. • Optimize backend systems for high throughput, resilience, and reliability.

Role Description We are looking for a Staff Cloud Engineer with deep expertise in cloud migration programs and API management to join our professional services practice. In this role, you will own delivery outcomes across complex, multi-workstream engagements — coordinating engineers, advising customer stakeholders on technical strategy, and serving as the authoritative voice on migration architecture and API platform design. Success looks like this: customer programs that deliver on time and on scope, engineers who are unblocked and accountable, and customers who trust your judgment enough to bring you their next challenge before the current one is finished. - Own delivery outcomes across multiple parallel workstreams simultaneously, including large-scale cloud migration programs and API management engagements; accountable for overall team output quality across L2–L4 engineers. - Lead complex estate transformations: coordinate multi-layer migration programs spanning application, data, network, and security teams across coordinated waves with hard decommission deadlines. - Architect and govern API platforms: design multi-region Apigee X deployments, Global API Mesh governance structures, and large-scale legacy gateway migrations (MuleSoft, Kong, Akana, AWS API Gateway) from proxy inventory through northbound cutover. - Validate all workstream estimates before they are presented to customers; own the accuracy of the overall delivery timeline and escalate scope risks before they become delivery failures. - Act as a trusted technical advisor to customer architects, program managers, and senior stakeholders on migration strategy, API platform governance, and cross-domain trade-offs. - Gather requirements directly from customer stakeholders and translate them into scoped, deliverable technical programs — without requiring a project manager to mediate the conversation. - Identify and own escalations within engagements; resolve technical blockers and delivery risks before they surface as customer issues. - Proactively identify expansion opportunities beyond the current statement of work — post-migration modernization, API monetization, governance maturity programs, or platform engineering follow-ons — and shape those conversations with customer stakeholders. - Challenge misaligned decisions: push back on unrealistic timelines, over-scoped commitments, or technically misguided PM proposals with data and reasoned alternatives. - Mentor and coordinate L2–L4 engineers across delivery programs; conduct technical reviews, validate architecture decisions, and hold the team accountable for quality and pace. - Contribute to practice IP: produce reusable assessment frameworks, migration wave templates, Apigee proxy accelerators, and API Ops pipeline templates that reduce delivery time on future engagements. Qualifications - 8+ years of hands-on cloud engineering experience, with at least 4 years in a professional services, consulting, or delivery-led environment. - Demonstrated experience leading end-to-end cloud migration programs at enterprise scale — multi-wave, multi-team datacenter exit or estate transformation programs involving 500+ workloads. - Demonstrated experience designing and governing Apigee X or Apigee Hybrid deployments in production enterprise environments, including legacy gateway migration programs. Requirements - Cloud Migrations (Depth — Advanced): Assess customer estates holistically and assign the correct migration pattern — rehost, replatform, refactor, rebuild, retire, or replace — based on application complexity, business criticality, technical debt, and cost of change; no single pattern dominates. - Lead Complex Estate Transformations end-to-end: multi-layer coordination across application, data, network, and security workstreams; custom tooling development where standard products are insufficient. - Select and deploy the right migration tooling for each program: Migrate to Virtual Machines, Migrate to Containers, Database Migration Service, Striim, Datastream, Carbonite Migrate, Zerto — matched to program constraints, not defaulted to. - Design hybrid and multi-cloud architectures required during phased datacenter exits where workloads must operate across on-premises and GCP simultaneously during transition. - Advise customers on migration strategy at an executive level — including the honest recommendation to retire, replace, or not migrate specific workloads — with impartiality and without defaulting to the approach that maximizes delivery scope. - Own migration program governance: wave sequencing, dependency tracking, risk register management, rollback planning, and executive-level customer reporting across complex programs. - Scope and estimate migration complexity using structured discovery and assessment tooling (CloudPhysics, Turbonomic, Migrate to Virtual Machines discovery); produce estimates defensible to customers that hold through delivery. Benefits - This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

Role Description As a Senior Platform Cloud Engineer (L4) within our Professional Services Practice, you will serve as the definitive technical authority on Google Cloud Platform (GCP) API management strategy and implementation. You will own customer-facing technical workstreams end-to-end, designing enterprise-grade Apigee architectures while mentoring junior engineers to elevate collective delivery quality. Success in this role means establishing robust, secure, and automated API developer platforms that seamlessly accelerate our enterprise clients' modernization journeys. You will get to: - Own Technical Delivery: Lead the end-to-end technical execution of Apigee-centric workstreams with minimal oversight, serving as the primary engineering point of contact for customer technical leads. - Architect API Lifecycles: Design and implement comprehensive API proxy lifecycles, environment group routing structures, developer portals, and promotion pipelines across environments (Dev, Staging, Production). - Enforce Enterprise Security: Build and deploy advanced API security structures, implementing Web Application and API Protection (WAAP), bot detection, mutual TLS (mTLS), OAuth2/OIDC token governance, and direct integrations with enterprise IDPs (e.g., Okta, Azure AD). - Drive API Ops & Automation: Independently build CI/CD automation pipelines for API proxy deployment using Maven or Python Apigee plugins integrated with tools like Cloud Build, GitHub Actions, or GitLab CI. - Accelerate Gateway Migrations: Map policy equivalence, inventory legacy proxy states, and execute migration waves to transition customers off legacy API gateways (such as MuleSoft or Kong) onto Apigee. - Develop Infrastructure as Code: Author, maintain, and review production-grade Terraform modules to provision Apigee X landing zones, Shared VPC networks, and Private Service Connect (PSC) configurations. - Mentor & Validate Team Output: Provide active technical mentorship to L2 and L3 engineers, performing thorough code reviews on proxies, shared flows, and deployment scripts to ensure absolute correctness. - Manage Project Scope & Risks: Proactively identify technical delivery risks and dependencies, produce defensible workstream-level estimates, and communicate technical constraints clearly to both internal and client project managers. - Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. Qualifications - Minimum of 5–7 years in IT consulting or cloud engineering roles, with at least 3 years dedicated to enterprise API management. - Advanced hands-on experience designing and operating Apigee X or Apigee Hybrid environments, including custom policy formulation, shared flows, and reusable security fragment architecture. - Demonstrated ability to construct secure, production-grade CI/CD pipelines and manage state files, environments, and multi-team drift containment within Terraform. - Solid exposure to cloud inventory tools (e.g., CloudPhysics) and pattern identification (Rehost, Replatform, Refactor), with practical experience orchestrating multi-wave application cutovers. - Must hold a minimum of two active Google Cloud certifications, including the Google Cloud Professional Cloud Architect or Professional Cloud Network Engineer. A dedicated Apigee certification or commitment to achieve it within 90 days is highly preferred. - Excellent written and verbal consulting communication skills, with proven experience defending technical decisions and designs to enterprise client engineers. Preferred Qualifications - Direct experience deploying and custom-theming Drupal-based or Apigee-native Developer Portals. - Hands-on knowledge of cloud-native deployment layers such as Google Kubernetes Engine (GKE) or Cloud Run to serve as backend targets for API routing. - Experience utilizing IaC governance orchestration tooling such as Spacelift, Atlantis, or Terraform Enterprise. Company Description Insight’s success begins with our people making meaningful connections every day. Our culture lives in our teammates. Insight is looking for great people who will embrace our values of Hunger, Heart and Harmony. Hunger to create new opportunities for our clients. Heart to make a positive impact in people’s lives. Harmony to celebrate each other’s unique contributions to bring solutions to clients. - Global technology provider of IT hardware, software and service solutions. - Fortune 500 company founded in 1988. - 5,400 teammates worldwide, operating in 22 countries. - One of The Valley’s 2015 Healthiest Employers (Phoenix Business Journal). - 2015 Dell Healthcare Partner of the Year, 2015 HP PartnerOne Financial Services Partner of the Year, 2014 Cisco Global Architectural Excellence Partner of the Year, Microsoft’s No. 1 Global Licensing Solution Provider.

Role Description SAIC is seeking a Senior Cloud Architect with AI Cloud to support a transformational infrastructure program for the Defense Counterintelligence and Security Agency (DCSA). This position is remote with limited travel. - Serve as a cloud architecture leader, providing guidance and mentorship to team members. - Design and deliver secure, compliant workloads within a platform-managed hub-and-spoke environment across AWS GovCloud and Azure Government. - Integrate advancements in AI Cloud capabilities for enhanced mission impact. - Architect and deliver secure, scalable AWS-centric solutions with multi-cloud fluency across Azure Government/GCP. - Be well-versed in platform management constructs to facilitate design discussions and articulate workload requirements. - Operate as a liaison between mission teams, leadership, and platform providers. - Ensure workload strategies align with programmatic, operational, and compliance goals. - Translate complex requirements into practical architectures while balancing compliance with DoD operational constraints. Qualifications - Experience in cloud architecture and deployment. - Strong understanding of AI/ML technologies and their application in cloud environments. - Proven leadership and team management skills. - Excellent communication and collaboration abilities. Requirements - Mentor and manage team members involved in workload architecture and cloud deployment. - Define and communicate workload requirements for routing, firewall/inspection, DNS, identity trust, logging/telemetry, secrets, and egress. - Manage cross-functional teams and discussions to ensure alignment between workload needs and platform provisioning. - Drive the creation of workload reference architectures and IaC templates. - Lead the team in implementing secure network zoning and service exposure. - Map workload data and mission needs to SRG IL2–IL6 and engineer control implementations. - Lead collaboration efforts with external vendors and industry solution providers. - Define and manage workload resilience strategies, including Multi-AZ/Region configurations. Benefits - Opportunity to work on mission-critical projects. - Remote work flexibility with limited travel. - Competitive salary and benefits package. Company Description SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. We integrate emerging technology into mission-critical operations that modernize and enable critical national imperatives. - Approximately 23,000 employees. - Annual revenues of approximately $7.3 billion. - Equal Opportunity Employer.