AI Cloud Architect Jobs

Our client, a venture-backed AI SaaS startup, is hiring a Staff Software Engineer to join their team in New York. The successful candidate will have the opportunity to work within a small, product-driven team, tackling complex technical challenges in a greenfield environment and building foundational systems from the ground up.


Responsibilities

• Architect and develop full-stack features for the company’s AI-powered SaaS platform.

• Design core backend systems, data models, APIs and infrastructure with an emphasis on scalability, performance and maintainability.

• Translate business and product objectives into clear technical plans and make high-impact design decisions in ambiguous or evolving contexts.

• Build frontend components that present complex AI and contract insights in an intuitive and user-friendly way.

• Collaborate closely with the Head of Engineering and product stakeholders to define priorities and deliver effectively.

• Take full ownership of your work from planning through deployment and monitoring.

• Help establish engineering best practices and contribute to shaping team culture as they scale.

Skillset

• At least 8 years of professional software engineering experience, with a proven track record in system architecture and technical ownership.

• Demonstrated ability to design and build complex backend systems or distributed services, especially in greenfield projects.

• Proficiency with backend technologies such as Node.js, Go or Python, and modern frontend frameworks like React or TypeScript.

• Experience with cloud infrastructure, CI/CD pipelines and infrastructure-as-code practices.

• Strong system design skills, with the ability to evaluate and reason about architectural trade-offs.

• Hands-on experience building agentic AI systems or applications powered by large language models (LLMs) is a bonus.

• Experience in legal technology or B2B SaaS is a plus.

• Excellent communication skills, capable of explaining and defending architectural decisions.

• Self-motivated and effective in fast-paced, high-trust environments with a high degree of autonomy.

Our client, a leading FinTech organization, is hiring a Senior Software Engineer to join their engineering team remotely. The successful candidate will play a pivotal part in the company’s growth by driving the full software development lifecycle, from design, development, testing, deployment and maintenance, to help shape products that positively impact millions of lives.


Responsibilities

• As the Senior Software Engineer, you will be responsible to architect and implement scalable back-end systems.

• Lead data engineering efforts across big data pipelines, including validation, cleaning, deduplication, matching, testing and quality assurance.

• Collaborate with a mission-driven engineering team to deliver high-quality, customer-focused solutions.

• Contribute to core enterprise data collection platforms that serve millions of users.

• Tackle complex challenges with simple, elegant, and scalable solutions - balancing rapid delivery with long-term vision.

Skillset

• Extensive experience in back-end engineering and distributed system design.

• Strong background in data engineering, including large-scale data processing and optimization.

• Practical experience building and scaling microservices architectures.

• Proficiency across key technologies: Back-end (Go, Python), Cloud (AWS, Terraform) and Data (PostgreSQL, S3, Redis, Snowflake, MongoDB).

• Skilled in developing, maintaining, and monitoring web services in AWS Lambda and containerized environments (e.g. Docker).

• Advanced knowledge of SQL and NoSQL databases, with experience in both data warehouses and data lakes.

• Deep understanding and application of Agile methodologies, TDD, CI/CD pipelines and DevSecOps practices.

• Previous experience working in a fast-paced startup environment is a plus.

• Strong communication skills with excellent skills in translating complex technical concepts for non-technical audiences.

Benefits

• Salary: $170k - $190k.

• Equity.

• Comprehensive health, dental and vision insurance.

• 401(k) offerings with 4% company match.

• Fully remote working environment.

Our client, an innovator in the sports industry, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will collaborate closely with the CTO to define the technical roadmap for their SaaS platform and have the opportunity to grow into a leadership position as the team scales.


Responsibilities

• As the Senior Backend Engineer, you will be responsible to architect and maintain new backend APIs.

• Implement integrations with external platforms such as Salesforce, Asana, Dynamics, and Google Calendar.

• Develop backend data pipelines (ETL, BigQuery) to support advanced analytics and reporting.

• Strengthen and secure APIs to safeguard sensitive sponsorship data and ensure compliance.

Skillset

• Proficient in Python with solid hands-on experience.

• Expertise in designing RESTful APIs (Flask or FastAPI; ORM experience is a plus).

• Experienced in integrating third-party platforms and working with OAuth.

• Comfortable with modern development workflows: Git, GitHub and AI-assisted coding tools (e.g. Cursor).

• Familiarity with Google Cloud, particularly Firebase (Hosting, Firestore – NoSQL) is a bonus.

• Experience building data pipelines, ETL processes and working with cloud data warehouses (BigQuery a plus).

Benefits

• Salary: $130K–$150K.

• Equity.

Our client, an exciting Healthtech organization, are hiring a Full Stack Engineer to join the team in New York. The successful candidate will work closely with the CTO and partner with product, operations and clinical teams to design the backend systems and ML infrastructure that enable real-time patient engagement, helping to lay the foundation of the platform in a fast-paced,  high-growth startup environment.


Responsibilities

• Develop and maintain scalable backend services and APIs powering the company’s AI-driven platform.

• Design and deploy infrastructure to support LLM-based applications in production environments.

• Partner with AI/ML engineers to embed conversational AI and predictive models into the platform.

• Lead the architecture of extensible backend systems that evolve with product growth and increasing data demands.

• Establish and manage CI/CD pipelines, automated testing and deployment workflows.

• Create reusable libraries, components, and frameworks to streamline development.

• Champion engineering best practices to ensure secure, scalable, and maintainable code.

• Utilize cloud platforms (GCP, Azure, AWS) to build cost-effective, high-performance infrastructure.

Skillset

• At least 5 years of full stack development experience, including two years in a senior engineering role.

• Strong proficiency in Node.js, Python, RDBMS, ReactJS and Express.

• Expertise in system architecture with a track record of designing scalable backend solutions.

• Practical experience integrating LLMs into production systems or strong motivation to gain this expertise.

• Rigorous engineering discipline with emphasis on Clean Code, TDD and CI/CD.

• Familiarity with DevOps practices, containerization (Docker), and orchestration (Kubernetes).

• Experience with AI model deployment, monitoring, and A/B testing.

• Excellent communication and collaboration skills across cross-functional teams.

• Demonstrated leadership through projects where you drove engineering efforts.

• Background in healthcare technology or other regulated industries is a bonus.

Benefits

• Salary: $160,000 - $175,000.

• Comprehensive Benefits Package.

Our client, an exciting Series B Startup innovating the Fintech industry, is hiring a Principal Engineer to join their New York team remotely. The successful candidate will play a key role in expanding their cutting-edge FinTech and data platform, driving advancements in financial health, identity services and inclusive decision-making for both individuals and businesses.


Responsibilities

• Drive the design and development of advanced back-end services, data platforms and AI/ML models that serve millions of users.

• Work collaboratively with cross-functional teams, including engineering managers, product owners and designers.

• Offer technical leadership, mentorship and support the professional growth of engineering team members.

• Lead project planning and execution while fostering team expansion through recruiting and onboarding efforts.

• Champion and uphold the company’s culture and commitment to operational excellence.

Skillset

• Master’s degree in Computer Science or similar, with a minimum of 10 years of engineering experience.

• Proven expertise in back-end development, microservices, API-driven and event-driven architectures and data platform engineering.

• Strong proficiency with AWS services such as DynamoDB, ECS/EKS, RDS, S3, SNS/SQS and Lambda.

• In-depth knowledge of credit reporting, lending, banking, payments, identity or other financial services domains.

• Advanced programming skills in Go, Python, C++ or Java.

• Hands-on experience with relational and NoSQL databases, microservices and event-driven system designs.

• Competence in building and deploying machine learning models, with a solid understanding of ML concepts.

• Familiarity with ETL/ELT tools like Airflow, Dagster, Prefect, and cloud data warehousing with Snowflake.

• Demonstrated leadership in product and business strategy, including roadmap planning and successful delivery.

• Excellent communication skills, able to effectively connect technical and non-technical stakeholders.

Benefits

• Salary: $200,000 - $220,000.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) with a 4% company match.

• Remote Working (US Only).

Our client, a global leader in Asset Management, is hiring a ServiceNow Senior Manager to join the team in Santa Clara, CA. The successful candidate will lead the delivery of advanced IT Asset Management solutions, drive revenue growth, oversee high-performing delivery teams and shape innovative service offerings that deliver measurable business value.


Responsibilities

• Develop and implement strategic plans to grow the ServiceNow ITAM practice, driving revenue and increasing market share through technical delivery and managed services.

• Serve as a thought leader, positioning the company as a premier provider of ServiceNow ITAM solutions.

• Establish and nurture strong partnerships with ServiceNow, leveraging their ecosystem to identify and pursue growth opportunities.

• Lead operational delivery to ensure high levels of client satisfaction, retention and successful project execution.

• Design, evolve and optimise service offerings and their corresponding delivery frameworks.

• Act as a product owner, championing innovation and continuous enhancement of ServiceNow capabilities.

• Oversee the creation and execution of comprehensive Statements of Work (SOWs) with clearly defined scopes, timelines and deliverables.

• Partner closely with sales, marketing and business development teams to support pre-sales activities and drive market enablement.

• Recruit, develop and lead a high-performing team of ITAM professionals, fostering a culture of excellence and growth.

• Manage resourcing across multiple client engagements, maintaining quality standards and ensuring effective workload distribution.

Skillset

• At least 10 years of experience leading and scaling professional and managed services practices, with a strong emphasis on ServiceNow ITAM.

• Extensive knowledge of ServiceNow ITAM solutions, including SAM Pro, HAM Pro, Cloud Cost Management (CCM), Enterprise Architecture (EA/APM) and IT Operations Management (ITOM).

• Solid understanding of IT Service Management (ITSM), ITIL methodologies and enterprise software service frameworks.

• Demonstrated success in designing, operationalising and optimising service offerings and delivery models.

• Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all organisational levels, including C-suite executives.

• Proficient in creating Statements of Work (SOWs), managing stakeholder relationships, and leading scalable, high-quality delivery operations.

• Experienced in leading cross-functional teams within fast-paced environments.

• Relevant industry certifications such as ITIL and ServiceNow is a plus.

Benefits

• Salary: $160k

• Bonus

• Medical, Dental & Vision Insurance.

• Wellness programs.

•  401(k) and Company Match.

Our client, an exciting Series B FinTech Startup, is hiring a Staff Machine Learning Engineer to join the team remotely. The successful candidate will design and deploy advanced machine learning models to help build interpretable, high-performing and scalable solutions leveraging data from AWS and Snowflake environments to drive impactful, data-informed decisions.


Responsibilities

• Designing, developing and deploying machine learning models to support predictive analytics across key fintech applications.

• Collaborating closely with cross-functional teams, including Data, Engineering and Product, to deliver integrated, data-driven solutions.

• Ensuring high model performance and reliability through robust data pipelines and scalable infrastructure.

• Converting model outputs into actionable insights that drive business strategy and financial inclusion outcomes.

• Mentoring and supporting fellow team members to promote a culture of technical excellence and collaboration.

• Championing best practices in MLOps, data governance and regulatory compliance across the ML lifecycle.

Skillset

• PhD or Master’s degree in Computer Science, Mathematics, Statistics or similar.

• 10+ years of relevant experience in applying AI/ML techniques within the financial services or fintech sectors.

• Extensive experience developing and deploying machine learning models for tasks such as classification, regression and forecasting.

• Strong programming proficiency in Python and SQL.

• Hands-on experience with AWS, particularly SageMaker and Bedrock, for model training, deployment and fine-tuning.

• Familiarity with model lifecycle tools like MLflow, SageMaker Model Registry or similar platforms.

• Practical experience using PyTorch, Scikit-learn and Generative AI models.

• Knowledge of Large Language Models (LLMs) and frameworks such as Hugging Face, LangChain or Mirascope.

• Solid understanding of cloud-based data architecture, including Snowflake, Amazon S3 and PostgreSQL.

• Background working in FinTech, PropTech or startup environments is a bonus.

Benefits

• Salary: $200,000 - $235,000.

• Equity.

• Remote working.

• Comprehensive health, dental, and vision insurance.

• 401(k).

Our client, a growing AI-driven startup, is hiring a a Staff Platform Engineer to join the team in California. The successful candidate will design and scale their core infrastructure, driving projects that improve system reliability, boost developer efficiency and elevate operational standards within their talented engineering team.


Responsibilities

• Design and build scalable backend systems that support complex data labeling workflows, enable real-time collaboration, and incorporate large language model (LLM) capabilities.

• Lead infrastructure initiatives focused on deployment, observability and performance optimization within a cloud-native environment.

• Develop secure, modular APIs and services that seamlessly integrate with both internal tools and customer-facing applications.

• Work closely with engineers, product managers and data operations teams to advance the company’s platform features and capabilities.

• Establish and maintain observability best practices - including logging, metrics, tracing and health monitoring - to deliver an exceptional developer experience.

• Guide architectural decisions involving service decomposition, asynchronous processing, scaling strategies and high-availability systems.

• Take ownership of the reliability and performance of critical services, including distributed task routing, model integrations and data pipelines.

• Mentor engineering team members in creating scalable, maintainable systems using contemporary engineering best practices.

Skillset

• Minimum of 8 years’ experience in backend or platform engineering, preferably within fast-growing SaaS or AI infrastructure companies.

• Proficient in Python programming, with hands-on experience using frameworks such as FastAPI.

• Strong expertise in cloud platforms (AWS, GCP or Azure), including container orchestration technologies like Docker and Kubernetes, and Infrastructure as Code tools such as Terraform.

• Experienced with SQL databases (e.g. PostgreSQL) and event-driven messaging systems (e.g. Kafka, RabbitMQ, Redis Streams).

• Well-versed in CI/CD pipelines, automated testing and deployment methodologies for large-scale production environments.

• Demonstrated ability to troubleshoot complex distributed systems, identify performance bottlenecks and build robust, resilient architectures.

• Comfortable working in early-stage, dynamic environments, taking initiative to identify and solve high-impact challenges.

• Experience integrating large language models (LLMs), working with ML/AI infrastructure or contributing to data labeling platforms is a plus.

• Design and build scalable, maintainable platform systems from the ground up.
• Develop robust backend services and APIs mainly with Python and using Rust for performance-critical components.
• Work closely with frontend teams on integrations using JavaScript and TypeScript.
• Automate infrastructure deployment using modern DevOps tools and Infrastructure as Code practices.
• Provide technical leadership by establishing best practices and guiding architectural decisions.
• Own features end-to-end, from initial concept through to production release.

• Proven experience in software development, with strong Python backend skills.
• Demonstrated success building systems from the ground up in fast-paced environments.
• Proficiency in JavaScript/TypeScript and modern frontend frameworks.
• Experience with Rust, or a willingness to learn it for performance-critical tasks.
• Hands-on familiarity with cloud platforms such as AWS, GCP or Azure.
• Experience with containerization using Docker and orchestration with Kubernetes.
• Strong system design skills, including designing clean APIs and scalable architectures.
• A DevOps mindset, with expertise in CI/CD pipelines, monitoring and observability.
• Excellent communication and teamwork skills.
• Passion for open-source and active contribution to community-driven projects.

• Salary: $100K - $220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.

• Architect, maintain and scale high-performance computing (HPC) and storage solutions across both on-premises and cloud environments.
• Collaborate with global teams to diagnose and resolve infrastructure challenges across operating systems, storage and networking.
• Champion innovation by exploring and implementing emerging technologies to enhance research infrastructure.
• Oversee and optimise a range of compute resources, including CPUs, GPUs and other specialised processing units.
• Work closely with software engineers to deliver seamless, high-performance platforms that power advanced research initiatives.

• Minimum of 5 years of experience in data engineering.
• Strong, hands-on experience with Databricks, especially in a production environment
• Solid expertise in Linux-based systems and environments.
• Hands-on experience with Infrastructure as Code tools, such as Ansible and Terraform.
• Working knowledge of cloud platforms like AWS, GCP or Azure.
• Genuine interest in high-performance computing and solving complex system-level challenges.
• Proven ability to diagnose and resolve issues across various layers of infrastructure.
• Effective communicator and team player, comfortable working in cross-functional and globally distributed teams.

• Salary: $250k - $300k.
• Performance Bonus.
• 401(k) matching up to 50%.
• Health, dental, vision, mental health, disability and life insurance.

Our client, an AI-led company transforming the healthcare sector, is hiring a Senior Backend Software Engineer to join their team remotely in the U.S. The successful candidate will architect and develop critical backend systems that manage, process and analyze clinical data at scale, while collaborating with cross-functional teams to build impactful, innovative solutions.


Responsibilities

• Architect, build and deploy backend services and functionalities that drive the company’s clinical AI platform.

• Work closely with cross-functional teams to gather user insights and continuously refine innovative features.

• Uphold patient privacy and security by applying secure coding standards and best practices.

• Investigate and promote enhancements in system architecture, workflows, and engineering methodologies.

• Provide ongoing support and maintenance for the organization’s production applications.

Skillset

• Bachelor’s or Master’s degree in Computer Science, Engineering or similar.

• At least 5 years of experience in software development, primarily focused on backend and cloud-native solutions.

• Deep proficiency in Python programming.

• Hands-on experience with Postgres or comparable relational databases.

• Demonstrated expertise in designing and implementing cloud-native distributed systems and event-driven architectures.

• Strong collaboration skills, working closely with product managers to plan, build and refine features.

• Experience working in environments with strict security and privacy requirements.

• Previous experience at a high-growth or scale-up technology company.

• Familiarity with health tech, especially hospital billing systems, is a plus.

Benefits

• Salary: $180,000 - $230,000 base salary

• Equity.

• Remote from anywhere in the U.S., with a $400 home office setup grant.

• Medical, Dental & Vision Insurance.