Principal Software Engineer leading technical strategy and architecture across full‑stack platforms and AI‑enabled capabilities.
Responsibilities
Set and drive technical strategy, target architecture and engineering direction across a portfolio of full‑stack capabilities spanning modern web applications, APIs, services, data and AWS cloud platforms.
Provide authoritative technical leadership across .NET/C#, Java/JVM or Node.js/TypeScript ecosystems and modern TypeScript frontends.
Define architecture for secure, resilient distributed systems at scale, establishing domain/service boundaries, event‑driven and asynchronous patterns, consistency models, idempotency, fault tolerance and evolutionary architecture principles.
Shape workflow architecture using Temporal and durable orchestration patterns, establishing approaches for long‑running processes, retries, compensation, human‑in‑the‑loop steps, state management, business rules, versioning and auditability.
Lead complex modernisation and simplification across legacy estates through decomposition, API enablement, event‑driven integration and cloud migration.
Requirements
Bachelor of Engineering, BTech or equivalent qualification
Principal Software Engineer responsible for system and solution-level validation of SONiC-based AI and enterprise networking platforms.
Responsibilities
Design and execute system and solution-level validation, translating product requirements, architecture documents, and specifications into comprehensive test plans and cases aligned with spec-driven and test-driven development (SDD/TDD).
Validate use-case and solution-centric functional, performance, resiliency, interoperability, and end-to-end scenarios at multidimensional scale, including RoCE and lossless-fabric behavior under congestion (PFC, ECN, link-level retransmission, and retransmits).
Track link-level health across test runs and releases, including error counters, link flaps, and FEC and CRC trends.
Build and improve Python and SpyTest automation and AI agents that improve execution efficiency, impact, and value, accelerating CI/CD pipelines and test coverage.
Analyze logs, telemetry, packet captures, and system behavior to identify root causes, close field escapes, and resolve complex issues through triage and closure.
Requirements
Bachelor’s or Master’s degree in Engineering in CSE, ECE, EEE, IT, Computer Networks, Cloud Computing, or equivalent
Nice to have: SpyTest
Nice to have: spec-driven or test-driven development (SDD/TDD)
Nice to have: server and storage environments
Nice to have: data analysis for trend and escape analysis
Lead technical design and delivery of Freddie Mac’s internal GenAI platform, FredAI, ensuring secure, scalable, and responsible AI solutions across the enterprise.
Compensation
This position has an annualized market-based salary range of $149,000 - $223,000 and is eligible to participate in the annual incentive program.
Responsibilities
Provide hands‑on technical leadership for architecture, design, and delivery of FredAI capabilities
Design and implement reusable reference architectures, SDKs, shared services, APIs, and integration patterns
Implement rigorous evaluation, testing, and LLMOps practices
Engineer secure, permission‑aware solutions enforcing identity, entitlements, data boundaries, privacy, and responsible AI policies
Define model and platform integration patterns, including routing, caching, rate limiting, and cost management
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
Lead end-to-end AI system design and architecture for a major Generative AI platform, ensuring secure, resilient, compliant, and enterprise-aligned solutions.
Compensation
Salary Range: $90,000 - $157,500 Annual
Responsibilities
Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
Define and implement reference architectures, design standards, integration contracts, and non-functional requirements (NFRs) for the platform area.
Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
Design solutions leveraging cloud architecture principles on AWS, Azure, or Google Cloud, ensuring interoperability, scalability, observability, and operational readiness.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
We are seeking an AI System Design Architect (AVP) with strong expertise in Generative AI, Machine Learning, enterprise architecture, cloud platforms, and scalable solution design.
Compensation
$90,000 - $157,500 Annual
Responsibilities
Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
Define and implement reference architectures, design standards, integration contracts, and non-functional requirements (NFRs) for the platform area.
Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
Design solutions leveraging cloud architecture principles on AWS, Azure, or Google Cloud, ensuring interoperability, scalability, observability, and operational readiness.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
Build and operate modern, cloud-native enterprise applications that support critical Data Privacy initiatives as a Staff Privacy by Design engineer.
Compensation
The expected base compensation for this role is: $133,000 - $188,600. Actual base compensation within the identified range will vary based on factors relevant to the position.
Responsibilities
Design, develop, test, and maintain microservices and RESTful APIs using Java and Spring Boot on Microsoft Azure
Deliver assigned features and services from requirements clarification and implementation through testing, deployment, observability, and production support
Implement solutions within established architecture, patterns, and team standards; contribute to component-level designs and raise technical tradeoffs or concerns
Work with product, Legal, privacy partners, and teammates to translate Data Privacy and business requirements into clear implementation tasks
Build secure, reliable services using Azure capabilities, container-based workloads, and cloud-native patterns
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent demonstrable professional software engineering experience
Nice to have: Data Privacy background or experience
Nice to have: security best practices including OAuth2/OIDC, JWT, and secrets management
Nice to have: modernizing legacy or monolithic applications into microservices and cloud-native architectures
Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability, building fault-tolerant paths and leveraging automation/IaC.
Compensation
US: Hiring Range in USD from: $79,200 to $209,500 per annum. May be eligible for bonus and equity.
Responsibilities
Implements and contributes to the development for components of distributed systems that support horizontal and vertical scaling
Optimizes code and/or systems for large-scale data processing in large-scale systems
Implements scalability requirements for assigned components and reviews implementation of team members
Leverages components of data plane platforms to handle large-scale data retrieval, storage, and processing
Lead hands-on solution architecture for Engineering Services (ES) platforms and managed business services. Partner with service owners and customers to identify where AI or simpler automation adds value, then guide design, engineering, and reliable operation of those capabilities.
Responsibilities
Partner with ES service owners, Technical Operations, and BU stakeholders to understand service requirements, operational friction, and customer outcomes; assess where AI is appropriate.
Define use cases and success criteria; assess feasibility, value, cost, and reuse before recommending experiments or enhancements to existing and new ES services.
Architect AI-enabled capabilities within ES cloud, identity, API/MCP, integration, connectivity, and observability services; apply secure, reusable enterprise patterns.
Lead hands-on evaluations and prototypes; guide solution development and integration through production readiness, with clear engineering acceptance criteria.
Design for secure, supportable operations with service engineering and Technical Operations: evaluation, telemetry, access controls, runbooks, incident response, and rollback.
Requirements
Bachelor's degree in computer science, information technology, engineering, or equivalent professional experience
Nice to have: AWS AI services
Nice to have: Claude
Nice to have: Kong Konnect AI/MCP integration
Nice to have: Splunk
Skills
Technology Sales Representative (GTA)
Konica Minolta Business Solutions U.S.A., Inc. · Posted Nov 10, 2024
As an Account Executive, you will provide professional and ethical representation of Konica Minolta Business Solutions to the office product & services marketplace. You will be a Konica Minolta brand ambassador to current and potential customers.
Compensation
Compensation Range: $46,850.74– $58,562.80 annually plus commissions and non‑discretionary incentives.
Responsibilities
Work directly with customers to discover their needs and develop solutions to delight them
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Technology Sales Representative (GTA)Konica Minolta Business Solutions U.S.A., Inc. · Mississauga, Canada