66degrees

Backend Engineer

• Architectural Leadership: Lead the design and architecture of robust, scalable, secure, and high-performance applications, defining technical standards, patterns, and best practices.
• Container Orchestration & Strategy: Design and oversee the deployment of containerized workloads, specifically leveraging Kubernetes (K8s) and Google Kubernetes Engine (GKE) to ensure high availability and efficient resource management.
• Solution Design & Strategy: Translate complex business requirements and user stories into detailed technical designs, architectural blueprints, and implementation strategies.
• Technology Selection: Evaluate and recommend appropriate technologies, frameworks, and platforms, with a strong emphasis on GCP services and cloud-native architectures.
• Technical Guidance & Mentorship: Provide expert technical guidance and mentorship to development teams, conducting code reviews and ensuring adherence to architectural principles (such as 12-factor app methodology).
• Performance & Scalability: Design solutions that meet stringent performance, scalability, and reliability requirements, utilizing GKE’s auto-scaling capabilities to handle evolving needs.
• Integration Strategy: Define strategies for integrating diverse systems, including APIs, microservices, third-party platforms, and legacy applications.
• Stakeholder Collaboration: Collaborate closely with clients, product managers, and cross-functional engineering teams to ensure alignment between business goals and technical solutions.
• Roadmapping & Innovation: Contribute to technical roadmaps, staying abreast of emerging technologies (e.g., AI/ML integration, serverless, Service Mesh/Istio) to drive innovation.
• Risk Management: Identify potential technical risks, particularly regarding infrastructure security and cluster management, proposing mitigation strategies throughout the project lifecycle.

Application Development Architect, .Net

AI Engineer

• Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications.
• Develop evaluation and testing approaches to measure model performance, identify regressions, and improve solution quality.
• Apply LLMs, multimodal models, retrieval-augmented generation (RAG), structured extraction, and tool calling to solve real-world healthcare workflows.
• Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into client’s systems.
• Improve the reliability, observability, guardrails, and monitoring of production AI applications.
• Stay current with advancements in AI technologies and apply them pragmatically to deliver business value.

Senior AI Engineer – Contract To Hire

QA Engineer

• Validate data in Databricks Delta tables across Bronze, Silver, and Gold layers.
• Perform source-to-target data validation and reconciliation.
• Verify data transformations, business rules, and aggregation logic.
• Execute SQL queries to validate data accuracy, completeness, consistency, and integrity.
• Validate schemas, data types, null values, duplicate records, and primary key constraints.
• Perform regression, integration, and end-to-end testing for data pipelines.
• Create, execute, and maintain test cases and test scenarios based on business requirements.
• Log, track, and manage defects using JIRA, and work closely with Data Engineers to resolve issues.
• Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.
• Prepare test execution reports and communicate testing status to stakeholders.

Databricks Tester – Contract

• Architectural Migration: Lead the technical strategy, design, and execution of extracting deep business logic from existing Oracle PL/SQL stored procedures and re-architecting them into highly modular .NET 8 microservices.
• Cloud & DevOps Leadership: Design and oversee the deployment architecture within a cloud environment, primarily leveraging AWS EKS (Elastic Kubernetes Service) and AWS Service Mesh (or equivalent cloud native tools).
• Team Technical Leadership: Provide direct mentorship, technical direction, and code/design review guardrails for a team of 5 backend engineers.
• Design & Best Practices: Define microservices patterns, database communication strategies, data validation frameworks, and performance-tuning guidelines for the new ecosystem.
• Cross-Functional Collaboration: Act as the primary technical point of contact during the migration, bridging the gap between legacy database structures and modern cloud-native architectures.

App Dev Architect, .NET – Contract

Architect

• Act as the technical strategist for the field, accelerating sales velocity and blending innovation with execution to deliver high-value outcomes to clients.
• In collaboration with Sales and Engineering teams, own the end-to-end design of custom, enterprise-grade cloud and AI-focussed solutions, translating complex customer requirements into scalable Google Cloud architectures.
• Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction.
• Prepare and deliver technical presentations, Statements of Work, Level of effort estimations, etc.
• Be a technical and business consultant to our clients before, during, and after implementations.
• Differentiate 66degrees products and services from our competitors by understanding the current market and industry landscape.
• Prepare demonstrations and proof of concept environments based on client requirements.

Client Outcome Architect

Manager

• Manage multiple concurrent projects from initial communication to project completion
• Gather requirements from clients and communicate with technical team
• Manage project scope, finances, schedule and expectations of all parties
• Confirm resource availability and appointment
• Coordinate internal and external resources for flawless execution of projects
• Set client expectations and safeguard technical feasibility
• Develop project plans, track progress and update appropriate parties
• Hold weekly project updates covering financial and functional updates
• Anything else that needs to be done that adds value to the business, our clients and your co-workers

Delivery Manager – Google Workspace Services

• Design, develop, and maintain scalable cloud-native applications using .NET and Java or Python
• Collaborate with cross-functional teams to define, design, and deliver new features
• Implement and maintain unit tests; follow Test-Driven Development (TDD) practices where applicable
• Participate in Agile ceremonies including sprint planning, reviews, and retrospectives
• Set up and maintain CI/CD pipelines for seamless deployment and integration
• Use Git for version control and actively contribute to code reviews
• Work on Azure or Google Cloud Platform (preferred), or other cloud services such as AWS.

Backend Engineer, .NET – Contract

• Manage small-to-medium scale projects or specific workstreams within larger enterprise programs from initiation to completion, leveraging core agile principles.
• Facilitate day-to-day operations for cross-functional teams (cloud, data, AI, application development) to maintain momentum and keep projects on track.
• Lead daily standups, scrum ceremonies, and project status meetings, championing agile practices within the team.
• Act as a key liaison between customers and technical teams to document requirements, track project milestones, and log risks/issues to keep project scope clear.
• Assist in resolving project issues and client concerns promptly, escalating to senior management when necessary to ensure uninterrupted progress.
• Maintain project health by tracking scope, schedules, and deliverables. Ensure project management tools (e.g., JIRA, Asana, FinancialForce) are meticulously updated and RAAIDD maintained.
• Own and manage project financials and margin performance 'as sold or modified with approval,' tracking project burn and profitability alongside core schedules.
• Prepare regular status updates, project retrospectives, and health reports for internal stakeholders, leadership, and client points of contact.
• Actively develop your domain and technical knowledge regarding cloud and data solutions to better facilitate project discussions and decisions as well as maintaining required certifications.

Associate Delivery Manager

Security Operations

• Manages and is responsible for the successful completion of all tasks in assigned projects.
• Contribute to the Security Operations and Engineering Team focused on maintaining the security integrity of the client's mission critical suite of applications.
• Available 24/7 for any critical security incident response that may arise which requires immediate resolution.
• Work to ensure security tooling within environments is operational and operating at needed levels of service and availability.
• Ensure operational practices provide a sound foundation that utilizes tools and processes for rapid identification of security events to address and mitigate risks.
• Assist in Plan, organize, and execute multiple responsibilities to achieve project goals and provide technical leadership to move operational projects to completion.
• Contribute to security requirements, standards, procedures, and reference architectures to comply with policies and technical standards.
• Develop and maintain incident response playbooks specific to AI/ML security threats including prompt injection, model poisoning, data exfiltration, and adversarial attacks.
• Monitor and secure generative AI systems, large language models (LLMs), and AI-powered applications within environments.
• Contribute to AI governance frameworks and policies ensuring responsible AI practices and compliance with AI-specific security standards.
• Analyze and evaluate security implications of new AI/ML tools and platforms before deployment to production environments.
• Participate in AI threat intelligence activities and stay current with emerging AI security vulnerabilities and attack methodologies.
• Conduct post-incident analysis for AI-related security events and develop preventive measures specific to AI threat vectors.
• Review and validate AI model security properties, including robustness against adversarial inputs and data privacy protections.

Security Operations AI Engineer – Contract

• Manage enterprise projects from initial communication to project completion leveraging agile principles.
• Lead cross-functional engagements (cloud, data, analytics, AI, application development, digital experience, strategy) and teams to maintain customer momentum driving project success.
• Serve as the key intermediary between our customers and technical leadership to gather requirements, estimate work, define project milestones, and evaluate risks ensuring clear project scope. Lead standups, scrum ceremonies, and project status meetings championing agile practices.
• Facilitate the swift resolution of customer concerns and act as an escalation point for issues ensuring project progress.
• Develop domain and technical knowledge to understand technical implementations to facilitate conversations that inform project decisions.
• Responsible for project scope, finances, schedule and expectations of all parties, meticulously managing project deliverables.
• Provide regular status updates to stakeholders and executive management, maintain effective communication with leadership to keep them aware of critical issues and action plans throughout the project lifecycle. Own project retrospectives and related reporting, driving continuous improvement in project delivery.
• Maintain an organized project using project management tools (e.g., FinancialForce, JIRA, Asana).
• Build and maintain client relationships through project delivery and proven value
• Confidence in self-organization and a tenacity to deliver results for clients

Senior Delivery Manager

DevOps Engineer

• Implement, and support Google Workspace small to mid deployments and migrations.
• Assist in the design, implementation, and support Google Workspace Enterprise deployments and migrations.
• Participate in technical discussions with customer executives that drive decisions and implementation
• Manage cloud networking services and connect to client networks
• Execute tasks related to SaaS configuration, development and integrations
• Configure and manage Cloud Platform services and APIs
• Develop custom scripts as necessary using Powershell, Python or Appscript
• Train our clients’ end users and their technical personnel as required per project scope
• Write technical documentation for deployed solutions that includes end-user guides and process manuals
• Write, Contribute, Publish content to our LMS for Google Workspace content
• Ability to travel to client sites as needed and requested

Application Development Architect, .Net

Senior AI Engineer – Contract To Hire

Databricks Tester – Contract

App Dev Architect, .NET – Contract

Client Outcome Architect

Delivery Manager – Google Workspace Services

Backend Engineer, .NET – Contract

Associate Delivery Manager

Security Operations AI Engineer – Contract

App Dev Architect, .NET – Contract

Senior Delivery Manager

Backend Engineer, .NET – Contract

Google Workspace Deployment Engineer