NorthBay Solutions

DevOps Engineer

• Embed security controls into CI/CD pipelines and engineering workflows
• Integrate and operate security controls across CI/CD pipelines
• Implement and manage SAST/DAST
• Establish secure build and release practices
• Drive remediation workflows with developers

SDLC Security Operations Engineer – DevSecOps

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
• Develop and maintain Infrastructure-as-Code using Terraform
• Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
• Ensure cloud infrastructure is optimized, secure, and monitored effectively
• Collaborate with data science teams to support ML model deployment and operationalization
• Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
• Build and maintain automated ML pipelines to streamline model lifecycle management

Lead DevOps Engineer – Azure, Terraform

Data Engineer

• Design, deploy, and manage AWS cloud infrastructure using Infrastructure as Code (Terraform)
• Build, maintain, and optimize ETL/data pipelines for large-scale data processing
• Automate infrastructure provisioning, deployment, and monitoring
• Develop and manage CI/CD pipelines for data and application workloads
• Ensure high availability, scalability, security, and cost optimization of AWS environments
• Support data ingestion, transformation, and orchestration workflows
• Monitor systems, troubleshoot issues, and improve system reliability
• Implement logging, monitoring, and alerting for infrastructure and data pipelines
• Collaborate with Data Engineers, Analytics teams, and DevOps teams
• Enforce security best practices, IAM policies, and compliance standards

DataOps Engineer, AWS

Project Manager

• Own full project lifecycle delivery for MSP engagements, including client onboarding, infrastructure upgrades, cloud migrations, security initiatives, and service transitions.
• Create and maintain project artifacts directly, including charters, schedules, RAID logs, budgets, and status reports.
• Actively manage day-to-day execution, task tracking, dependencies, and technical deliverables.
• Drive accountability across engineering, service desk, vendors, and third-party partners.
• Deliver projects across distributed teams and time zones using remote collaboration tools.
• Ensure seamless handoff from project delivery to steady-state managed services operations.
• Maintain strict alignment with SLAs, OLAs, and contractual commitments.
• Identify and resolve delivery blockers quickly in a remote environment.
• Serve as the primary client-facing lead for all assigned projects.
• Run remote kickoff meetings, technical workshops, and executive status reviews.
• Proactively manage expectations, risks, and issues while maintaining high customer satisfaction.
• Manage project budgets, forecasts, and margin expectations.
• Control scope through formal change management processes.
• Identify, document, and mitigate risks and issues; escalate when appropriate with clear recommendations.
• Use and optimize MSP and PM tools such as ServiceNow, Jira, MS Project, or similar.
• Apply Agile, Waterfall, or Hybrid methodologies pragmatically based on delivery needs.
• Continuously improve project delivery processes, templates, and playbooks for remote execution.
• Mentor less-experienced project managers through example and delivery leadership.

Senior Project Manager

• Design and implement scalable AWS Data Lake and modern data architecture solutions for large-scale data management and analytics.
• Build and maintain robust ETL/ELT pipelines using AWS-native tools and modern data engineering frameworks.
• Develop data integration solutions to support FP&A, financial reporting, forecasting, and enterprise decision-making processes.
• Optimize AWS environments for performance, scalability, cost-efficiency, and automation .
• Implement and enforce best practices for data governance, data cataloging, lineage, security, IAM, and compliance across the Data Lake.
• Work closely with business analysts, data engineers, and analytics teams to deliver end-to-end data solutions aligned with business needs.

AWS Data Architect, Data Lake – SAP

Security Engineer

• Design and manage network security controls including firewalls, IDS/IPS, VPNs, and network segmentation
• Implement and evolve zero-trust security models with least-privilege access
• Configure and maintain identity and access management solutions (MFA, SSO, PAM, RBAC)
• Implement encryption standards for data at rest and in transit; manage keys and certificates
• Deploy and manage security monitoring, logging, and alerting infrastructure
• Analyze security events, investigate incidents, and lead response activities
• Perform vulnerability assessments and coordinate remediation efforts
• Develop and maintain security policies, procedures, and documentation
• Collaborate with teams to integrate security into CI/CD pipelines and infrastructure

Backend Engineer

• Design, develop, and maintain scalable backend services using Python and/or Node.js
• Build and consume RESTful APIs with a focus on performance, reliability, and security
• Develop and integrate microservices-based architectures using Spring Boot where applicable
• Containerize applications using Docker and manage deployments using Kubernetes
• Design, optimize, and manage data storage solutions using SQL, NoSQL, and Vector Databases
• Implement secure coding practices, authentication, authorization, and data protection standards
• Collaborate with DevOps teams to implement CI/CD pipelines and cloud deployments on Microsoft Azure
• Monitor, troubleshoot, and optimize backend systems for scalability and high availability
• Participate in code reviews, architecture discussions, and technical decision-making
• Mentor junior developers and contribute to engineering best practices

Backend Developer, Python/Node

Engineer

• Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
• Architect and implement multi-agent systems for enterprise-grade solutions
• Integrate AI agents with APIs, databases, internal tools, and external SaaS products
• Lead and mentor a cross-functional team across global time zones
• Optimize performance, context retention, tool usage, and cost efficiency
• Build reusable pipelines and modules to support GenAI use cases at scale
• Ensure enterprise-grade security, privacy, and compliance standards in deployments
• Collaborate directly with clients and senior stakeholders

GenAI Engineer

• Develop and maintain scalable batch data pipelines on AWS
• Implement ETL/ELT jobs using AWS Glue and Spark on EMR
• Build and manage workflow orchestration using Apache Airflow (MWAA)
• Develop serverless data processing functions using AWS Lambda
• Work with Amazon Redshift for data warehousing and analytics
• Implement data storage and retrieval using Amazon DynamoDB
• Use AWS DataZone for data discovery, governance, and access control
• Monitor data pipelines and system health using Amazon CloudWatch
• Troubleshoot data processing failures and performance issues
• Collaborate with analytics, reporting, and business teams
• Follow best practices for security, scalability, and cost optimization

AWS Data Engineer

QA Engineer

• Define and execute test planning, test strategy, and test cases for AI/ML and data-driven applications
• Develop and maintain automated test frameworks using Selenium and Pytest
• Perform API testing for RESTful services
• Validate data pipelines, ETL workflows, and ML model outputs
• Conduct end-to-end testing across AI/ML lifecycle including data ingestion, training, inference, and deployment
• Integrate automated test suites into CI/CD pipelines
• Perform regression, integration, system, and performance testing
• Identify, document, and track defects to closure
• Collaborate with Data Engineers, ML Engineers, and DevOps teams
• Ensure adherence to QA standards, best practices, and compliance requirements

Senior AI QA Engineer

Software Engineer

• Lead the design, development, testing, and deployment of mobile applications for iOS and Android platforms
• Develop native mobile applications using Swift, Kotlin, and Java, as well as cross-platform solutions using React Native and Flutter
• Collaborate closely with UI/UX designers to deliver intuitive, user-friendly, and visually appealing mobile experiences
• Integrate mobile applications with RESTful APIs and backend services
• Implement security best practices to ensure data protection, authentication, and secure communication
• Optimize applications for performance, scalability, and responsiveness across devices and platforms
• Manage local data storage using SQLite, Realm, or similar database solutions
• Use Git-based version control to manage source code, branching, and releases
• Conduct code reviews and mentor junior developers to ensure high coding standards and best practices
• Troubleshoot, debug, and resolve application issues across different environments
• Work within Agile/Scrum methodologies to deliver high-quality features on schedule

Senior Mobile Application Developer

Product Designer

• Lead the end-to-end UI/UX design process, from user research and ideation to final design handoff
• Create wireframes, user flows, interactive prototypes, and high-fidelity UI designs using Figma
• Design intuitive and responsive interfaces that work seamlessly across devices and screen sizes
• Apply User-Centered Design (UCD) principles to ensure usability, accessibility, and consistency
• Design interfaces for AI-powered and data-driven applications, simplifying complex workflows
• Maintain and evolve design systems, style guides, and reusable component libraries
• Collaborate with engineering teams to ensure accurate and high-quality implementation of designs
• Conduct usability testing, gather user feedback, and iterate designs based on insights
• Present design concepts, user flows, and rationale clearly to internal and external stakeholders
• Stay updated with the latest UI/UX trends, tools, and best practices

Senior UI/UX Designer

Frontend Engineer

• Lead the development of scalable and dynamic front-end applications using React, Vue.js (Nuxt3), Next.js, Svelte, and TypeScript
• Build reusable components and design systems, including lightweight Lit.js web components
• Optimize front-end performance through SSR, code splitting, lazy loading, hydration, and runtime optimization
• Collaborate closely with ML engineers, backend developers, and designers to deliver intuitive, AI-powered user experiences
• Work with state management libraries like Redux, Vuex, Pinia, or Svelte Stores
• Build accessible and responsive applications that are cross-browser and cross-device compatible
• Contribute to testing, documentation, and CI/CD automation to maintain high code quality
• Participate in architectural discussions, code reviews, and mentor junior front-end engineers

Senior Frontend Engineer

• Design, develop, and maintain robust and scalable RESTful APIs for enterprise-level applications
• Build and deploy microservices using modern backend frameworks with a strong emphasis on performance and maintainability
• Implement containerized applications using Docker and Kubernetes
• Write unit and integration tests using relevant testing frameworks to ensure code quality and system reliability
• Collaborate with cross-functional teams including front-end developers, DevOps, and data engineers to deliver high-quality software solutions
• Optimize backend performance and ensure security compliance throughout the development lifecycle
• Maintain and work with various database technologies including SQL, NoSQL, and Vector databases
• Deploy, monitor, and troubleshoot applications in cloud environments (compute, serverless, networking, storage)