
Databricks · Bengaluru
FEQ327R299 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engine...
As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers
and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade
ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data
Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI,
MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.
This is a Hybrid role, based in Bengaluru.
pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability,
and monitoring systems
variety of domains
training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME
community in Databricks
priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings
applications, including drift monitoring.
AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
equivalent practical experience
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and
over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,
Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific
details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to
ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment
at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or
expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation,
socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's
discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an
applicant on this basis alone.
FEQ327R142 As a Senior Specialist Solutions Architect – Builder Team, this role designs, builds, maintains, and supports projects that integrate and extend the Databricks platform to accelerate data and AI use cases. The position contributes to the roadmap for specific priority projects, helps evaluate partner solutions, and delivers high-quality, production-ready implementations. This role also supports the infrastructure used to maintain Databricks Labs, enabling field engineering teams to contribute to tooling efforts more effectively. The ideal candidate brings strong customer empathy, a product mindset, and the ability to translate tooling needs into robust backend systems. The impact you will have * Build, debug, and extend multiple internal and public infrastructure components of the Databricks Labs ecosystem, with a focus on scalable and reliable backend services and automation. * Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and related ecosystems. * Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organization. * Apply and contribute to engineering best practices, coding standards, and reusable patterns for Labs projects, ensuring consistent and maintainable solution delivery. * Collaborate with cross-functional teams—including Field Engineering, Product, and Platform Engineering—to clarify requirements, propose technical approaches, and deliver projects * Contribute to the evaluation, adoption, and integration of new technologies relevant to Databricks Labs and the automation tooling ecosystem. * Own the design and implementation of small to medium-sized projects end to end, and partner with Lead Specialist Solutions Architects on larger, cross-team initiatives. * Participate in code reviews, design reviews, and incident response, helping improve reliability, observability, and developer experience for field teams. What we look for * Experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness and development speed. * Production experience of 6+ years in backend or infrastructure development, with proficiency in at least two of the following: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required. * Passion for defensive programming and building highly scalable and reliable software. * Demonstrated fluency in modern AI and data technologies and proven experience integrating AI capabilities into production systems, such as embedding LLMs, recommendation models, or other ML services into backend applications with appropriate reliability, observability, and security controls. * BS/MS/PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience. * Excellent written and verbal communication skills, including a track record of producing clear technical documentation, design proposals, and knowledge-sharing materials across teams. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role As a Senior Product Acceleration Specialist, you will play a critical role in driving Okta's long-term product success by strategically validating, deploying, and driving global adoption of New Product Introductions (NPIs). Serving as a high-impact technical subject matter expert, you will act as a key advisory link between Okta Research and Development (ORD), Go-To-Market (GTM) field teams, and our most strategic Global 2000 (G2K) enterprise accounts. While you will utilize a cutting-edge lab environment to test integration patterns and validate complex identity scenarios, your primary focus is to serve as the master of new features. You will dive deep into emerging capabilities—particularly across Identity Governance and Administration (IGA) and Privileged Access Management (PAM)—to uncover feature gaps, identify market opportunities, and establish the blueprints that accelerate product adoption at scale. Key Responsibilities * NPI Champion & Technical Advisory: Serve as the deep technical expert on Okta's newest platform offerings and capabilities. Partner directly with Product Management and Engineering to provide actionable insights on integration concepts, identify feature gaps, and surface market opportunities based on strategic customer needs. * Advanced Solution Validation & Blueprinting: Conduct hands-on technical implementation, troubleshooting, and rigorous interoperability testing of advanced features, with a premium focus on IGA and PAM use cases. Translate complex product capabilities into repeatable architectural patterns, reference models, and high-impact product demonstrations. * Lab Engineering as a Strategic Tool: Design, build, and operate an advanced lab environment specifically tailored to model complex, real-world enterprise identity ecosystems. Use the lab as a launchpad to stress-test NPIs, simulate scalability challenges, and power high-value solution validation programs. * Cross-Functional Collaboration: Lead cross-functional collaboration with internal teams, including Product Management, Engineering, Presales, Sales, and Professional Services, to address complex integration issues and inform product development. * Global Alignment & Office Presence: Facilitate effective team interaction and maintain tight alignment across global offices (e.g., USA and India). * Office Presence: This is a hybrid role requiring a minimum of 2 days per week working on-site from the Okta Bangalore office. * Thought Leadership & Adoption Enablement: Deliver technical mentoring to Okta Field teams on product features and configuration patterns. Advocate for product adoption through the creation of thought leadership content, including tech What You’ll Bring to the Role Professional Experience * Customer-Facing Delivery: 6+ years of technical experience delivering identity and security solutions to large enterprise customers within a Go-To-Market organization (e.g., Professional Services, Pre-Sales/Sales Engineering, Technical Account Management, or Customer Success). Technical Skills & Domain Knowledge 1. Security & Specialized Identity Depth: Deep domain knowledge and hands-on experience in Privileged Access Management (PAM) and Identity Governance and Administration (IGA). Familiarity with cybersecurity frameworks (e.g., NIST, PCI-DSS) and access control models (RBAC, ABAC) is highly preferred. 2. Identity Protocol Expertise: Strong foundational knowledge of identity federation and user management protocols, including SAML 2.0, OAuth, OpenID Connect, and SCIM. Advanced knowledge of Microsoft Solutions (Active Directory, AD CS, ADFS) and Entra ID is a plus. 3. Cloud & Infrastructure Foundation: Solid understanding of enterprise cloud architectures, SaaS landscapes, and cloud-based networking constructs (e.g., AWS VPC, Azure Virtual Networking, or Google VPC). Experience installing and configuring server operating systems (Windows, Linux). 4. AI Tooling & Efficiency: Strong experience and interest in utilizing AI tools and Large Language Models (LLMs) to drive individual and team efficiencies. Ability to leverage AI to accelerate technical documentation, automate script generation (e.g., Python, PowerShell), or streamline complex troubleshooting and log analysis workflows. * Core Competencies 1. Strategic Mindset & Agility: Proven ability to multitask and manage multiple concurrent, complex integration projects simultaneously while prioritizing tasks and resources effectively. 2. Communication Skills: Exceptional ability to present complex technical information clearly to both technical engineering teams and non-technical business stakeholders. 3. Education: A Bachelor's degree (or equivalent) in Computer Science, Information Technology, or a related discipline is required. #LIHybird #P19343 The Okta Experience * Supporting Your Well-Being * Driving Social Impact * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. REQUIRED * Experience building and maintaining complex mission-critical production database systems (RDBMS or NoSQL). Coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc. * Experience working with APIs and using it to integrate with 3rd party technologies and software in the areas of security and fraud, big data analytics and AI, healthcare, content management, IoT, database performance monitoring and management; financial services, healthcare services, telco etc. * Solid hands-on experience with systems engineering, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting * Experience analyzing and troubleshooting issues holistically, from the application tier through the database, down to storage * Troubleshooting experience with TCP/IP networking stack on OS and Hypervisor * Experience using or administering one or more cloud services stacks such as AWS, Azure or GCP * Hands-on experience with administering and troubleshooting NAS, SAN, local storage, multi-pathing * Experience building solutions involving application workloads and use cases. PREFERRED * Experience using or managing MongoDB preferred * Experience in one or more programming languages developing applications using a NoSQL or SQL database. * Strong understanding of authentication systems such as LDAP, Kerberos, AD * Experience using distributed version control systems, and in particular git * Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators. * Experience in working software product teams, and familiarity with product release processes from planning to release. SUCCESS MEASURES * In 3 months, you’ll have gained a deep understanding of MongoDB and its partner ecosystem. You will complete New Hire Training. * In 6 months, you will be comfortable working frontline with our customers and partners. You will also complete the MongoDB Certified DBA Associate exam. * In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently. ABOUT MONGODB MongoDB 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. Requisition ID 2273455032