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When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.
Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.
Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.
At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.
Core Knowledge & Skills: Designs complex network and hybrid‑cloud solutions; implements security controls, DR/BCP, and automated IaC with deployment pipelines; performs advanced performance tuning.
Work & Complexity: Solves complex issues, designs and delivers new infrastructure solutions, performs capacity planning, and leads advanced automation initiatives.
Quality & Independence: Drives root‑cause analysis, enforces best practices and QA on changes, optimizes for reliability and user experience; operates with high autonomy.
Teamwork & Communication: Leads cross‑functional efforts, mentors juniors, facilitates knowledge transfer, and aligns stakeholders with technical plans.
Consulting & Engagement: Provides strategic input on infrastructure initiatives, recommends advanced technologies, and manages vendor relationships.
The Application Integration Engineer is responsible for leading the technical onboarding of application workloads onto AKS, with primary focus on Adexone, BdBridge, and Pipestress. This role bridges the gap between application owners, developers, infrastructure engineers, Kubernetes engineers, DevOps engineers, security teams, and operations teams. The engineer will assess current application architecture, identify dependencies, define runtime requirements, support container deployment, validate connectivity, coordinate testing, resolve integration issues, and document workload-specific deployment and operational procedures.
Assess current-state architecture for Adexone, BdBridge, and Pipestress, including runtime components, hosting model, dependencies, data flows, authentication patterns, and operational requirements.
Identify container image readiness, source repositories, build artifacts, configuration files, deployment manifests, service dependencies, and runtime parameters.
Define AKS deployment requirements for each application, including environment variables, secrets, certificates, DNS names, ingress requirements, APIs, databases, file storage, message queues, and external service integrations.
Work with Kubernetes and DevOps engineers to translate application requirements into Kubernetes manifests, Helm charts, Kustomize overlays, pipeline variables, and release workflows.
Validate application connectivity to required databases, APIs, file stores, identity providers, external endpoints, and internal enterprise services.
Support application deployment, smoke testing, functional testing, UAT support, defect triage, and remediation.
Coordinate with application owners and SMEs to define acceptance criteria, validation procedures, health checks, and go-live readiness criteria.
Support logging, telemetry, and alerting requirements in coordination with Operations/SRE and Security teams.
Document deployment steps, configuration parameters, dependencies, rollback procedures, known issues, and operational support procedures.
Assist with migration from current hosting models to AKS where applications are already containerized or near container-ready.
5+ years of experience supporting enterprise application integration, application deployment, application modernization, or cloud migration projects.
Experience integrating applications into containerized, cloud-hosted, or Kubernetes-based environments.
Strong understanding of application architecture, APIs, databases, authentication, certificates, secrets, environment configuration, file storage, and release validation.
Experience working with Kubernetes deployment concepts including deployments, services, ingress, ConfigMaps, Secrets, persistent volumes, and health probes.
Experience supporting application deployments through Azure DevOps, GitHub Actions, GitLab CI/CD, Jenkins, or similar CI/CD tools.
Ability to troubleshoot application startup failures, connectivity issues, configuration errors, TLS/certificate problems, dependency failures, and runtime exceptions.
Experience working directly with application owners, developers, infrastructure engineers, security teams, and operations teams.
Ability to document application dependency matrices, deployment procedures, test results, and operational handoff materials.
Experience with Azure Kubernetes Service.
Experience working in Azure Government, GCC High, DoD, DIB, Federal, or regulated enterprise environments.
Familiarity with Dockerfiles, container image registries, runtime configuration, and image promotion.
Familiarity with Helm, Kustomize, YAML manifests, and Kubernetes troubleshooting.
Experience with SQL Server, PostgreSQL, Azure SQL, storage services, API gateways, message queues, or enterprise integration services.
Experience supporting applications subject to CMMC, CUI, ITAR, NIST, FedRAMP, or similar compliance requirements.
Experience supporting engineering, manufacturing, industrial, shipyard, or regulated technical workloads.
Experience developing application validation plans, smoke test scripts, and UAT support materials.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.
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