Support mission critical lab environment with enterprise network engineering, troubleshooting, and sustainment for DoD network environments.
Locations (2)
Norfolk, Virginia, United States
Portsmouth, Virginia, United States
Compensation
$110,000 - $120,000
Responsibilities
Providing enterprise network engineering, troubleshooting, and sustainment support for DoD network environments
Performing configuration analysis, change implementation, technical documentation, incident resolution, and modernization support across routing, switching, transport, VPN, and enclave connectivity environments
Providing general engineering and administrative support for Navy platforms
Focusing on Cyber Security activities including scanning, patching, system engineering, vulnerability management, artifact authoring and management, and supporting all steps in the ATO process
Leading monthly patching requirements, IAVA remediations, EXORDS, and driving to ensure system security
Senior hands-on technical specialist responsible for designing, developing, implementing, and supporting AI, automation, and software engineering solutions to improve operational efficiency and enhance colleague experiences.
Compensation
The compensation range for this position is $200,000 to $230,000 (this is based on full-time hours, located in New York City).
Responsibilities
Design, build, maintain, and evolve agentic AI and automation systems
Translate complex business problems into agent-based solution architectures
Senior Software Engineer provides technical leadership in the design, development, and support of software products that enable and sustain John Deere manufacturing operations.
Responsibilities
Provide technical leadership in design, development, and support of software products for manufacturing operations
Develop, debug, and resolve complex cross-system issues ensuring high availability and reliability of factory critical applications
Collaborate closely with product owners, UX, and cross-functional teams, contributing hands-on code while guiding technical decisions and best practices
Support continuous improvement within an Agile framework, mentor other engineers, and ensure solutions deliver measurable value to factories while meeting quality, security, and performance expectations
Requirements
BS in Computer Systems Engineering or equivalent experience
Design and deliver secure, scalable AI solutions across the firm, owning solution design and implementation for assigned initiatives.
Responsibilities
Partner with the Lead AI Engineer to develop and apply reference Engineerures, engineering patterns, and standards for generative AI, machine learning, retrieval, and agentic workflows.
Own technical design and implementation for assigned AI products, including model selection, orchestration, context management, retrieval, tools, memory, APIs, and integrations.
Build and apply evaluation frameworks for quality, groundedness, safety, latency, reliability, and cost, including regression testing and production release checks.
Implement security and governance controls for identity, access, data handling, privacy, secrets, logging, auditability, human oversight, and safe failure in partnership with Cybersecurity and the Lead AI Engineer.
Partner with Data and Platform Engineering to build reusable services and support deployment, CI/CD, MLOps or LLMOps, observability, scaling, and production operations.
Requirements
Bachelor's or advanced degree in Computer Science, Engineering, Machine Learning, or a related field, or equivalent experience.
Own Commure's data warehouse platform end-to-end, designing, building, and operating every layer of the stack, including CDC pipelines, streaming transport, schema governance, query/serving layer, and analytics platform.
Responsibilities
Own the data warehouse platform end-to-end: CDC pipelines, data lake, query layer, transformation layer, and the analytics-facing tooling that sits on top.
Design and operate CDC pipelines with Debezium (and Kafka, Redpanda, or an equivalent streaming backbone) that move data from operational databases into the warehouse with low latency and high fidelity.
Architect the data lake on object storage using an open table format (Iceberg, Delta Lake, or Hudi) with Parquet, enabling both batch and streaming workloads and clean separation of storage from compute.
Run and scale StarRocks (or adjacent MPP/lakehouse engines) as the query and serving layer - schema design, materialized views, ingestion patterns, tuning, and cost/performance trade-offs.
Build the transformation layer with dbt: modeling standards, tests, documentation, and a semantic layer that gives every team a single source of truth for metrics.
The Salesforce DevOps Architect is responsible for advising, designing, and managing deployment orchestration solutions for complex Salesforce implementations.
Compensation
For Ontario-based roles, the base salary hiring range for this position is CAD 130,300 to CAD 179,200 annually.
Responsibilities
Collaborate with client stakeholders to define requirements, deliverables, and manage expectations.
Assess existing DevOps processes, tools, and practices, recommending improvements.
Design, present, and implement best-fit DevOps solutions, considering customer needs, tool preferences, and commercial constraints.
Drive the selection and implementation of DevOps tools and technologies.
Lead DevOps design sessions, architect solutions, and document best practices.
Requirements
Bachelor’s degree in Computer Science, Technology, or equivalent experience.
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