Role Description Onyx is looking for a Sales Engineer to serve as a trusted technical advisor throughout the sales process. You will help prospects and customers understand how our AI security platform fits into their environments, map technical value to business needs, and support successful onboarding. What you will do - Lead technical discovery and pre-sales solution design. - Present product capabilities to both technical and executive stakeholders. - Design tailored solutions aligned with customer environments and priorities. - Support proof of concepts, evaluations, and technical validation. - Partner with sales, product, and engineering on feedback loops from the field. Qualifications - 5+ years of experience in presales engineering, solution architecture, or similar roles. - Strong hands-on knowledge of Kubernetes, Docker, Linux, and cloud platforms. - Experience with networking, security, and enterprise technical environments. - Excellent communication and presentation skills. - Ability to solve business problems through technical design. Requirements - Experience in AI security, cloud security or cybersecurity platforms. - Familiarity with compliance frameworks and enterprise architecture. Benefits - Remote work model - Health insurance and wellness benefits - Equity participation Compensation Disclosure We offer a competitive compensation package that includes base salary, equity, and performance-based incentives. Compensation will be determined based on experience, location, and the scope of the role. Equal Opportunity Statement Onyx is an equal-opportunity employer. We value diverse perspectives and are committed to building an inclusive environment for all employees.

Role Description We are seeking an experienced Python Software Architect to design, build, and continuously enhance complex enterprise-grade applications, data-intensive services, and automation platforms. This is a hands-on engineering role focused on delivering robust, secure, and high-performance Python systems that operate reliably within distributed and mission-critical production environments. The ideal candidate will bring deep Python expertise combined with strong fundamentals in software architecture, data engineering, and operational support, and will partner closely with product, data, and infrastructure teams to translate ambiguous business problems into well-engineered technical solutions. You will be expected to think beyond surface-level fixes, identify root causes of complex issues, and proactively raise the engineering bar across the team. Key Responsibilities - Provide end-to-end design, development, and advanced technical troubleshooting for complex enterprise-grade Python applications. - Develop secure, high-quality, production-ready Python code and implement algorithms that perform reliably within distributed systems. - Produce architecture and design artifacts for complex applications, ensuring adherence to defined design constraints and performance requirements. - Develop and optimize data processing logic for large-scale datasets. - Gather, analyze, and synthesize large and diverse datasets to support continuous improvement of applications and business processes. - Develop reporting mechanisms, dashboards, and data visualizations as required. - Identify hidden defects, performance bottlenecks, and architectural weaknesses. - Contribute to engineering best practices, conduct thorough peer code reviews, and mentor less-senior engineers. - Participate fully in Agile development cycles and CI/CD processes. - Collaborate closely with cross-functional stakeholders to clarify requirements and translate them into scalable technical solutions. - Support operational stability through structured incident response and post-incident reviews. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of applied Python development experience in enterprise-grade environments. - Strong experience building and maintaining large-scale production applications. - Hands-on experience with relational database systems such as Oracle, MS SQL Server, PostgreSQL, or Sybase. - Strong understanding of the full software development lifecycle (SDLC). - Proven hands-on experience across system design, application development, automated testing, and operational support. - Strong working knowledge of data structures, algorithms, and computational efficiency. - Demonstrated experience debugging and maintaining complex, enterprise-level applications in production. - Solid understanding of Agile methodologies, CI/CD practices, and secure coding standards. - Ability to manage multiple concurrent projects in dynamic environments. - Strong written and verbal communication skills. Preferred Qualifications - Strong shell scripting skills in UNIX/Linux environments. - Solid grounding in mathematical and statistical concepts. - Hands-on experience with the Python data and ML ecosystem, including NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch. - Working exposure to AWS cloud services and cloud-native storage technologies. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We are looking for a passionate technologist to join our Pre-Sales organization and help ensure our growth is grounded in strong technical alignment between MongoDB, our partners, and the needs of our customers. MongoDB Solutions Architects help customers and partners design and build reliable, scalable systems using our data platform. On the Partners team, this role goes beyond core solution design and includes driving technical strategy with hyperscalers, GSIs, ISVs, and ecosystem partners; shaping joint solutions; and creating repeatable field assets that accelerate adoption. You will work closely with sales, partner, and technical stakeholders to solve business problems with MongoDB, influence complex opportunities, and help build partner-led growth in India and across the region. We are looking to speak to candidates who are based in India for our remote working model. What you'll do at MongoDB - Design scalable, secure, and high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions - Act as a trusted technical advisor to partners, sellers, and customers by guiding architecture reviews, modernization strategies, and deployment decisions across cloud and hybrid environments - Work on complex partner and ecosystem opportunities that require deep technical discovery, solution mapping, demos, proofs of value, sizing, and technical documentation - Build and refine joint partner offerings, integration patterns, quick starts, workshops, demos and reference architectures with hyperscalers, ISVs, and strategic ecosystem partners - Create reusable field assets such as demos, presentations, sample architectures, workshops, and technical guidance that help sellers and partners scale MongoDB adoption. - Advise on modern AI application patterns including RAG, vector search, agentic workflows, and integration approaches across partner ecosystems - Support field and partner teams with implementation guidance, technical objections, and practical workarounds where product capabilities, frameworks, or documentation are still evolving - Collaborate with product, engineering, and partner teams to relay field feedback, influence roadmap conversations, and improve the quality of MongoDB integrations and partner experiences - Partner with account teams on territory and account planning, opportunity qualification, pipeline generation, and technical win strategy - Represent MongoDB externally through customer workshops, partner sessions, industry events, and thought leadership content - Mentor peers and help raise the bar for the broader Solutions Consulting organization through knowledge sharing and repeatable best practices As an ideal candidate, you will have - 12+ years of experience in a customer-facing technical role, including significant pre-sales, consulting, partner, or solutions architecture experience in enterprise software - Strong experience navigating complex sales cycles and aligning technical and business stakeholders across customers, partners, and internal teams - Hands-on experience with modern application development, data platforms, or cloud-native systems, including at least one scripting or programming language such as Python, JavaScript, Java, C#, or SQL - Experience designing distributed systems in cloud and hybrid environments with an understanding of scalability, resilience, and security considerations - The ability to translate technical architecture into business value for executives, architects, developers, and partner stakeholders - Experience working with one or more of the following: hyperscaler partnerships, ISV integrations, AI/ML applications, data engineering, platform modernization, or developer platforms - A demonstrated ability to create technical assets, lead workshops, and enable broader field teams with reusable content and repeatable patterns - Strong presentation, communication, and interpersonal skills, with the ability to influence without direct authority - Familiarity with modern sales methodologies and strong collaboration with sales leadership - The ability to travel up to 25% You may also have - Experience with database programming and data models - Experience in data engineering or AI/ML projects - Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks - Experience in SRE practices - Proven ability to up-level the broader organization - for example by sharing best practices or creating reusable assets - A MongoDB Certification or a Cloud Provider Certification - Experience with MongoDB Atlas and adjacent services such as Search, Vector Search, Stream Processing, Data Lake, and related application modernization patterns. - Experience with partner technologies and ecosystems such as AWS, Azure, Kubernetes, Apache Kafka, or framework-level integrations used in modern AI applications. - A track record of public speaking, publishing technical content, or representing a company in external technical forums. What you will learnMongoDB Product Suite Mastery - Core Database Server: Master the fundamentals and advanced features of MongoDB's core database - Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts - Relational Migrator: Learn to migrate from relational databases seamlessly Market-Relevant Technologies: - Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms - Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes Modern Architecture Design: - Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security - Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space Sales Techniques and Soft Skills: - Effective Communication: Master presentations, demonstrations, and whiteboarding - Client Interaction: Develop strategies for discovery and objection handling Industry Insights: - Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries Why this role matters This role is ideal for someone who enjoys blending solution architecture, partner strategy, technical sales, and emerging technology. The strongest candidates will be comfortable operating at the intersection of customer outcomes, partner ecosystems, field enablement, and product innovation. About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 2273489128

• Design and implement scalable, secure AWS cloud architectures. • Build and manage infrastructure using Infrastructure as Code (Terraform/CloudFormation). • Architect secure authentication using Cognito, SAML SSO, MFA, and RBAC. • Develop and maintain CI/CD pipelines, DevOps practices, and cloud security. • Ensure governance, audit logging, and reusable platform components. • Provide technical leadership, collaborate with stakeholders, and mentor engineering teams.