Role Description Azumo is looking for a highly motivated Technical Leader to develop and enhance high-performing and scalable software solutions in Python, .NET, Machine Learning Engineering, Data Science, Data Engineering, JavaScript, and Java, among other technological challenges. This position will give you the opportunity to collaborate with a growing team and bright engineering minds in software development, data, and AI. You will enjoy the role if you love designing and developing scalable, high-performance software solutions using Python, .NET, Java, JavaScript, and modern data technologies, and connecting applications to modern cloud-based technologies. Technical leaders take charge of technical teams. They typically ensure the smooth functioning of technical operations, monitor and evaluate staff progress, assist with training and recruitment, set goals, and ensure overall client satisfaction. - Define the architecture, deliverables, and timelines - Lead your team through the scrum process to deliver valuable software solutions - Create end goals for your team - Delegate work and assignments to team members - Collaborate with your team to identify and fix technical problems - Supervise system modifications - Conduct security audits to identify areas of improvement - Liaise with team members, management, and clients to ensure projects are completed to standard - Write progress reports and deliver presentations to stakeholders - Hire and train technical personnel Qualifications - BS or Master’s degree in Computer Science, related degree, or equivalent experience - 10+ years of experience with software development in Java, Python, .NET, JavaScript/NodeJS, or data technologies - 7+ years of experience leading development teams - Professional English proficiency (C1/C2) - Deep expertise with Linux and hosted cloud environments (Heroku, AWS, App Engine, or others) - Practical experience with open-source technologies, including SQL and NoSQL databases - Experience integrating solutions with 3rd-party APIs (RESTful, OAuth, JSON) - Self-driven and motivated, with a strong work ethic and a passion for problem-solving - Strong experience with backend development, data systems, or scalable software architecture Benefits - Paid Time Off - Mentored Career Development - U.S. Holidays - USD Remuneration - Profit Sharing - Maternity Coverage - 100% Remote Company Description Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co

• Own the organization of documentation • Create documentation • Author internal and client-facing documentation on how to use Syllo at each and every stage of the litigation journey • Author client-facing documentation on new, complex features • Author quick-turnaround questions from clients about our product • Edit release notes so that they’re most useful for our clients

Role Description We are looking for a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform, acting as the primary gatekeeper for code quality and architecture as complex logic and AI features are embedded into an existing system. You will: - Review all PRs and enforce code quality standards, preventing spaghetti code and scope creep. - Design and deploy containerized applications using REST APIs. - Embed complex logic, AI features, and outputs from data-heavy backends into the platform without disrupting existing workflows. - Collaborate with DevOps on the client's AWS data stack, including an S3-backed data lake, Athena, and EKS/Kubernetes, and clarify functional and non-functional requirements. - Guide senior developers and ensure alignment with the client's engineering practices. - Lead end-to-end application engineering while maintaining high standards for architecture, scalability, and maintainability. - Set standards for responsible use of AI-assisted development tools and identify risky AI-driven shortcuts during PR reviews. Qualifications - 7+ years of full-stack engineering experience with a strong track record of architectural ownership. - Strong production experience with Python, including FastAPI or Flask. - Solid TypeScript/React experience. - Experience with REST APIs, including migrating away from legacy GraphQL endpoints where needed. - Hands-on experience with Docker and PostgreSQL, including database migrations. - Experience building or maintaining data-heavy applications with large payloads or datasets and performance-sensitive application-layer queries. - Working familiarity with AWS S3, Athena, and EKS/Kubernetes concepts, sufficient to drive DevOps conversations and understand how data reaches the application. - Awareness of DAG-based task orchestration tools such as Airflow, or comparable orchestration engines. - Strong experience working in Mac/Linux terminal-centric environments, including Bash and Makefiles. - Practical, hands-on use of AI-assisted development tools such as Claude Code, with the critical judgment to assess AI-generated output and maintain long-term code quality. - Strong technical communication and leadership skills, with the ability to defend technical decisions, challenge unsustainable quick fixes, and balance maintainability with pragmatic delivery. - Upper-Intermediate English level. Requirements - Production experience with Athena, S3-based data lakes, or Airflow. - Production experience implementing AI features using AWS Bedrock, LangChain, Pydantic AI, or similar technologies. - Experience with monorepo tooling such as Nx or modern package managers such as Poetry, UV, or Yarn. - Experience with NoSQL or caching layers such as Redis. - Exposure to OLAP-style analytics tools such as Trino/Presto, ClickHouse, or SageMaker. - Experience with marketing data structures, campaign management APIs, or digital advertising metrics. Benefits - Growth without limits : build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget. - Competitive compensation : get recognition that reflects your skills and impact, with regular performance and compensation reviews. - Flexibility : work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm. - Meaningful, modern projects : build impactful products using modern technologies alongside global teams and leading brands. - Collaborative culture : join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized. - Well-being & support : access local well-being programs and people-focused support tailored to your location.

• Own the end-to-end creation and maintenance of documentation for complex product features, APIs, integrations, and multi-system workflows. • Drive business outcomes by improving documentation quality, usability, and scalability, enabling better customer experience and internal efficiency. • Collaborate cross-functionally with Product Managers, Engineers, SMEs, and Training teams to define documentation scope and deliverables. • Translate complex, ambiguous, or incomplete technical inputs into clear, structured, and actionable documentation. • Apply and refine structured content approaches (e.g., modular content, reusable components) to improve consistency and scalability. • Continuously improve documentation standards, templates, and workflows to enhance efficiency and quality. • Perform content reviews and editing to ensure clarity, consistency, accuracy, and usability across all documentation. • Lead documentation efforts across multiple stakeholders, driving alignment on approach, scope, and timelines. • Mentor junior writers, provide peer reviews, and contribute to elevating overall team quality and standards. • Manage multiple documentation deliverables simultaneously, ensuring timely and high-quality outputs.