Design, implement, and maintain secure, supportable integrations between VA platforms, on-premises systems, cloud services, and external partners.
Locations (2)
United States
Washington, DC, United States
Compensation
Pay Range $107,900.00 - $195,050.00
Responsibilities
Design, implement, and document integration solutions using approved patterns across Azure, hybrid/on-premises environments, third-party services, and VA platforms
Develop interface specifications, API and data-exchange implementations, routing, network boundaries, identity federation, authorization, and trust models
Apply approved VA Enterprise Cloud, Zero Trust, security, and architecture standards
Implement governed data interoperability through federated access, metadata/catalog synchronization, lineage, and consistent access policies
Partner with cloud, network, security, DevSecOps, and application teams to implement, test, monitor, and troubleshoot integrations
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
Master's degree in Computer Science, Information Technology, Engineering, or related field
F5 Consultant is an innovative engineer working in partnership with clients, advising them on F5 ADC solutions, providing strategic guidance and subject matter expertise for implementation and configuration of core F5 BIG-IP products.
Responsibilities
Provides technical guidance to customers onsite and/or remotely regarding implementation, configuration and maintenance of F5 BIG-IP core products independently or with a team
Performs as project lead and/or key contributor for problem identification, systems architecture definition, solution design, implementation, testing, client training, deployment, troubleshooting and documentation
Performs basic project management activities including interaction with company and client managers, cost/schedule monitoring, project status update reports, and expectation management for the delivery of work products and associated risks
Manages customer interaction and engagement over the course of the assigned projects
Maintains working proficiency in F5 products and technologies through self-directed and formal training
Embed directly with product development teams to understand real business problems and work out the right way to solve them with AI, building and shipping production AI applications.
Responsibilities
Embed directly with product teams to understand their business flows and work out where AI genuinely helps
Lead technical discovery to separate bottlenecks from symptoms
Help teams design and build AI-first applications on top of existing services
Gather and document requirements for new services
Build and operate data pipelines, model training and serving, and MLOps tooling
Internship role in Security Engineering focused on designing, building, and automating security controls and tools.
Compensation
Salary Range: $20.00/hour - $23.00/hour CAD . Please note that the salary range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.
Responsibilities
Develop, deploy, and maintain automated security tools and scripts
Assist in evaluating application and cloud infrastructure configurations against industry standards
Participate in security architecture discussions, threat modeling, and code audits
Analyze security telemetry and refine detection alerts
Document technical findings and present capstone project
Requirements
Bachelor’s in Computer Science, Cybersecurity, Information Systems, or related discipline
Lead a global DevOps team across Gothenburg, Bangalore and Montreal, driving deployment, CI/CD, security architecture and operational excellence for a SaaS offering.
Locations (3)
Gothenburg, Västra Götaland County, Sweden
Bangalore, India
Montreal, Quebec, Canada
Responsibilities
Lead, coach and grow a global team across three sites and time zones
Support and back up senior architects and engineers
Set direction for deployment, CI/CD and security architecture
Balance demands from different product lines
Act as business-side owner of the Configuration Environment direction
Requirements
MSc or BSc in Computer Science, Software Engineering or equivalent
Lead the design, implementation, and governance of enterprise AI solutions, defining reference architectures and standards across the organization.
Compensation
Salary range specific to this role: $180,000–$230,000 + discretionary incentive bonus + benefits
Responsibilities
Define and own the enterprise AI reference architecture, including patterns for LLM/ML integration, RAG pipelines, and Agentic AI platforms, ensuring alignment with enterprise architecture and security standards.
Architect secure integration patterns for external AI services (LLMs and ML APIs), including data handling, access controls, and auditability, and guide engineering teams in implementing them.
Design retrieval-augmented generation (RAG) architectures for document-heavy workflows that scale across multiple enterprise data sources.
Lead the design and rollout of an Agentic AI platform reference architecture, partnering with Architecture and Engineering on implementation.
Define and govern reusable AI components and platform building blocks that accelerate delivery across multiple use cases.
Requirements
Bachelor’s or master’s degree in computer science, Information Systems, or a related field, or equivalent professional experience.
Improve the efficiency of secure software development and maintainability by researching technologies, presenting solutions, and implementing them with IT infrastructure and cybersecurity teams.
Responsibilities
Coaches on DevOps best practices
Improves software delivery workflows
Assists Platform Engineering with onboarding teams to share pipelines and tooling
Helps configure and optimize CI/CD pipelines
Guides automation across build, test, and deployment workflows
Lead the design and implementation of modular services and domain capabilities using Java and Spring Boot, driving migration from legacy Java technologies and integrating industrial systems.
Responsibilities
Lead design and implementation of modular services and domain capabilities using Java and Spring Boot
Drive migration from legacy Java technologies, API modernization, cleanup, stabilization, and incremental extraction of services
Translate domain models and architecture decisions into maintainable code, interfaces, schemas, and deployment-ready components
Build and integrate capabilities across warehouse execution, robotic applications, controls, Edge services, HMI, and data acquisition
Develop reliable interfaces to enterprise systems, PLC/control layers, robot controllers, Edge applications, and operational data consumers
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