
Okta · Bengaluru
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 t...
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.
Get to know Okta
Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible
and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at
the core of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box —
we're looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We're building a world where Identity belongs to you.
Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to
applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to
identity enables this Tier-0 global service to deliver convenience, privacy, and security so customers can focus on innovation.
The Engineering Architect Team
The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly
across the organization in collaboration with Engineering, Product, and Security. We partner deeply with other Engineering teams
for large projects, and provide direction and architectural guidance for smaller initiatives. We have a dual-pronged charter to
"level up the tech stack and level up the people stack" via both technical contributions and partnerships and mentoring.
The Role
Auth0 is a developer product at its core — and increasingly, the developers building with us aren't just humans. AI agents are now
a first-class consumer of our SDKs, APIs, and documentation.
This role owns the architectural vision for how Auth0 is experienced across three dimensions: DX (Developer Experience — how human
developers build with Auth0), UX (User Experience — how users experience Auth0 products), and AX (Agentic Experience — how AI
agents interact with and build on Auth0).
You'll work across our SDK ecosystem, public APIs, documentation, and product surfaces to ensure that every touchpoint is
consistent, delightful, and easy to build on — whether the builder is a human or an agent.
You'll also contribute directly to how we build internally: creating the skills, guardrails, and patterns that our own in-house
agents use, ensuring that agent-assisted development at Auth0 produces the same high-quality, consistent output as human-led
development.
What you'll be doing
experience feel unified and intentional
and built for both human and agent consumers
that enable agents to build correctly with Auth0
efforts
product's UX direction
that raises the bar
What you'll bring to the role
consume APIs and tooling auth0.com
how to fix it
changelogs)
Universal Login
#LI-Hybrid
The Okta Experience
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.
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. Get to know Okta Team Okta is The World’s Identity Company. We enable everyone to safely use any technology anywhere, on any device or application. Our Workforce and Customer Identity Clouds provide secure, flexible access, authentication, and automation, transforming how people navigate the digital world and placing Identity at the core of business security and growth. At Okta, we are committed to celebrating a variety of perspectives and experiences. We are looking for lifelong learners and individuals whose unique experiences will make our organization better. The Technology Data and Intelligence (TDI) team at Okta is focused on boosting internal efficiency through the implementation of secure, scalable, and innovative systems. About the Role We are seeking an independent Senior Salesforce Engineer who effectively balances technical excellence with a disciplined approach to the software development lifecycle. In this role, you will serve as a guardian of our codebase through implementation, rigorous peer reviews, automated testing, and comprehensive deployment support, ensuring the architectural integrity of our environments. Key Responsibilities * Technical Implementation: Lead the translation of user stories into robust, scalable technical designs. Responsible for the end-to-end execution of features, ensuring alignment with organizational standards. * Solution Design and Architecture: Architect and design secure, scalable solutions by translating complex business requirements into technical specifications and solution designs that leverage the Salesforce platform, particularly within the Sales and CPQ domains. * Quality Assurance and Testing: Ensure 100% unit test coverage for all new logic. Build and maintain an automated test regression suite to minimize manual overhead and proactively identify regressions. * Code and Peer Mentorship: Conduct thorough Pull Request (PR) reviews, providing constructive feedback to junior and mid-level developers to maintain code quality and consistency. * Deployment and Release Support: Manage the deployment cycle, including documenting all changes, securing necessary Jira approvals, resolving environment-specific test issues, and performing final validation in Production. * Global Collaboration & Ownership: Demonstrated strong ownership and the ability to communicate effectively and collaborate seamlessly with cross-functional, global teams and stakeholders. Required Qualifications * Salesforce Development Expertise (5+ years): Proven proficiency in Salesforce development, including Apex, Process/Flow Automations, and Lightning Web Components (LWC). * Software Development Acumen (3+ years): Strong background in general software engineering principles, with significant experience in Java, Python, or JavaScript. * Domain Specific Knowledge: In-depth knowledge and practical experience within Sales Cloud and Configure, Price, Quote (CPQ) domains are essential. * Advanced AI Agent Frameworks & Data Processing: Expertise in modern AI agent or agentforce frameworks, orchestration techniques, Retrieval-Augmented Generation (RAG) pipelines, and advanced vector search methodologies. * CI/CD Pipeline Proficiency: Hands-on experience with continuous integration and continuous deployment (CI/CD) pipelines, specifically utilizing Jenkins and Salesforce DX (SFDX) for efficient development and release. * Secure Salesforce Solution Development: Deep understanding and practical application of Salesforce security features, adherence to data privacy regulations, and implementation of best practices for secure solution development. * Communication, & Problem-Solving: Possesses excellent communication and robust problem-solving abilities. Capable of independently driving technical direction, mentoring team members, fostering collaboration, and effectively managing all project aspects. Preferred Qualifications (Extra Credit) * Salesforce certifications, such as Platform Developer I/II, CPQ Administrator, Application Architect, or Technical Architect. * Experience designing or implementing advanced Salesforce DevOps practices. * Previous work in a high-growth, SaaS, fast-paced technology company. #P7110_3468222 #LI_Hybrid 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.
FEQ427R298 As a Senior Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams. You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI and data science. Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. THE IMPACT YOU WILL HAVE * Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions. * Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks. * Partner with the sales team and provide hands-on technical leadership to help large enterprise customers understand how Databricks can help solve their business problems across the full data and AI lifecycle. * Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI— including validating integrations with cloud services, in-house tools, and third-party applications. * Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. * Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint. * Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community. WHAT WE LOOK FOR * 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role. * 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. * Strong hands-on architectural experience — able to whiteboard, design, and personally build end-to-end solutions, not just advise. * Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred. * Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus. * Strong consulting / customer-facing experience working with external clients across a variety of industries. * Coding experience in Python, SQL, Scala, Java, or R. * Experience building distributed data systems at enterprise scale. * Hands-on experience with at least one major public cloud (AWS, Azure, or GCP). * Available to travel to customers in your region and occasionally internationally. * Nice to have: prior experience working in or with a Global Capability Center model; Databricks Certification. 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.
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 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. The impact you will have: * Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. * Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems * Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains * Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks * Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: * 5+ years of hands-on industry ML experience in at least one of the following: * ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. * AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through ML & AI * [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed 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.