As a Engineer II, Google Cloud you will contribute to the design, build, testing, and optimization of cloud-native applications on Google Cloud, supporting work across the full software development lifecycle from new product ideas to modernization efforts.
Compensation
The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.
Responsibilities
Building cloud-native applications on Google Cloud across the software development lifecycle
Developing generative AI solutions using Google Vertex AI, LLM APIs, and Python
Designing prompt engineering, context engineering, and retrieval-augmented generation workflows
Testing application functionality, model behavior, and system performance across delivery stages
Applying agent orchestration, LangChain, LangGraph, and vector database methods to solution design
Senior technical consultant to design, configure, develop and deploy Informatica MDM SaaS solutions on the IDMC platform for enterprise customers.
Compensation
The typical base salary range for this position is $117,200 - $176,700 annually. ... In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $141,200 - $194,200 per year.
Responsibilities
Deliver hands‑on configuration, development, and deployment of Informatica MDM SaaS solutions
Demonstrate strong working knowledge of the Informatica IDMC platform
Configure and implement Informatica MDM SaaS products including C360 and R360
Translate functional and technical requirements into well‑structured configurations, data mappings, and workflow designs
Support legacy‑to‑cloud migration efforts
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related technical discipline
Nice to have: Cloud ecosystem experience (AWS, Azure)
Nice to have: On‑premises to cloud migration design
Nice to have: Data governance methodologies
Nice to have: Leveraging AI to accelerate project execution
Lead the marketing function for Mimo Studio, building positioning, voice, funnel, content, video, community, launch strategy and developer/business marketing.
Compensation
$140K–$190K base and equity, four-year vesting with a one-year cliff.
Responsibilities
Set positioning and voice across all channels
Own end-to-end funnel and measure weekly
Create product demos, technical content and AI search content
Build community of engineers, product teams and manufacturers
Design, prototype, evaluate, and operationalize generative and agentic AI capabilities within Application Security, combining software engineering, security expertise, and AI-enabled development patterns.
Compensation
Anticipated salary range: $125,300 - $178,900
Responsibilities
Design, build, and test prototypes and production-ready capabilities using generative AI, large language models, AI agents, and multi-step agentic workflows.
Develop Python-based services, automation, integrations, evaluation harnesses, and supporting tools for Application Security use cases.
Evaluate AI-enabled security products and frameworks for vulnerability discovery, exploitability analysis, secure code guidance, remediation, validation, and developer workflow integration.
Create controlled workflows in which AI capabilities can analyze code, use approved tools, recommend or generate changes, execute tests, and produce auditable evidence while maintaining appropriate human oversight.
Establish technical guardrails for agent identity, least privilege, data access, tool use, repository access, secrets handling, logging, traceability, change control, and safe failure or termination.
Requirements
Bachelor's degree in computer science, software engineering, cybersecurity, information systems, or a related field, or equivalent practical experience.
Lead product ownership for Agentic AI initiatives, defining vision, roadmap, and lifecycle while coordinating cross-functional teams and ensuring enterprise security and governance.
Compensation
Pay Range: $50 - $55/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Responsibilities
Define the Agentic AI product vision, roadmap, MVP scope, priorities, success measures and business outcomes.
Own epics, features, user stories, acceptance criteria, Definition of Done and backlog prioritization in Jira; support PI and sprint planning.
Drive requirements for autonomous and On-Behalf-Of agent patterns, multi-agent interactions, orchestration and the full agent lifecycle.
Partner with IAM and cybersecurity teams on workload and agent identities, authentication, authorization, Zero Trust, Microsoft Entra ID and policy-based access controls.
Mainframe Replication Engineer responsible for delivering and supporting low‑latency data replication services across mainframe and distributed environments.
Locations (3)
Plano, Texas, United States
Jersey City, New Jersey, United States
Charlotte, North Carolina, United States
Compensation
Pay range: $43.42 - $51.42 per hour
Responsibilities
Deliver enterprise replication services for Db2, IMS, and VSAM systems
Support low‑latency data replication across complex mainframe and distributed environments
Engineer and maintain replication platforms such as QREP, CDC, DPROP, zDIH and CDA
Automate replication workflows using Python, REXX, shell/USS scripting
Integrate replication services with REST APIs, Kafka, and z/OS Connect
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