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Build, manage, migrate, and optimize production infrastructure on Google Cloud Platform. Implement infrastructure as code with Terraform, support GKE and containerized environments, troubleshoot performance and reliability issues, optimize cloud costs, and collaborate with engineering teams and clients throughout project delivery. The role requires cloud migration experience, Linux and networking knowledge, automation skills, conversational English, and a relevant GCP certification.

Build, manage, and optimize production infrastructure on Google Cloud Platform. Execute cloud migrations, implement Terraform-based infrastructure as code, troubleshoot performance and reliability issues, optimize costs, and collaborate with engineering teams and client stakeholders. The role requires experience with GCP, Linux, networking, Kubernetes, Docker, CI/CD, scripting, monitoring, and cloud migration, plus a relevant Google Cloud certification and conversational English.

Leads and coaches Scrum teams supporting Google Cloud application development for a government customer. Facilitates Scrum ceremonies, removes impediments, supports Product Owners, tracks delivery metrics, manages stakeholders, resolves conflicts, and promotes Agile adoption and continuous improvement. The role also coordinates with the PMO, oversees technical project teams, supports Agile scaling, and drives organizational change.

Owns end-to-end application features across React, Spring Boot, Node.js, and PostgreSQL. Responsibilities include translating Figma designs, developing APIs and supporting services, evolving data models, writing tests, deploying on Google Cloud, maintaining CI/CD pipelines, collaborating with stakeholders, and documenting architecture, APIs, and data models.

Responsible for hands-on OS modernization (RHEL7 -> EL8/EL9), RPM packaging and packaging migrations (Chef -> CINC), CI/CD hardening, automation of runbooks, Tier-2 incident response, service onboarding to observability stacks (Prometheus/Grafana/Chronosphere/Splunk), and end-to-end bug ownership and documentation. Works closely with SREs and stakeholders through design, rollout, and rollback of large-fleet changes.

Owns architecture and technical delivery for a healthcare and PBM data platform expansion. Designs Azure Data Factory and Databricks ingestion pipelines for EDI, FHIR, HL7, clinical documents, and pharmacy data. Defines canonical models, metadata-driven frameworks, API patterns, interoperability architecture, trading partner onboarding, and BI data models. Partners with client stakeholders and distributed delivery teams throughout project delivery.

Staff Security Platform Engineer responsible for backend integrations and policy platform use cases using Golang, MongoDB, Snowflake, and AWS. Owns technical design through delivery, documents decisions, follows testing and deployment practices, reviews code, and provides technical direction to an IC4 engineer. Collaborates closely with customer stakeholders, communicates risks and progress, and ramps quickly on the customer codebase.

Build and maintain backend integrations and policy platform features using Golang, MongoDB, Snowflake, and AWS. Work with customer engineering stakeholders to deliver scoped changes, follow established coding, testing, review, and deployment standards, and communicate progress and blockers. The role requires rapid onboarding, independent execution, and reliable delivery in a fully remote contractor engagement.

Build REST API integrations and data pipelines connecting healthcare and pharmacy systems with Databricks. Develop production services in Python and C#/.NET, ingest HL7 and CDA/C-CDA data using Azure Data Factory, and work with Azure SQL Managed Instance. Contribute to technical designs, testing, code reviews, deployments, and stakeholder communication while rapidly onboarding to the customer codebase.

Develop, optimize, automate, and support bioinformatics pipelines in an on-premise HPC environment. Integrate pipelines with laboratory systems and Illumina, Oxford Nanopore, and PacBio sequencing instruments; troubleshoot genomic data movement and delivery issues; maintain technical infrastructure; and support increased workload from an LIS transition to Epic Beaker. Participate as a full member of an agile pipeline team while collaborating with bioinformatics specialists and customer stakeholders.