AI Engineer - Okta integration Job at NTT DATA (Bangalore)

Senior Cloud Infrastructure Engineer

We are looking for a Senior Cloud Infrastructure Engineer to join our Infrastruc...

Location

Germany , Berlin

Salary:

Not provided

Babbel

Expiration Date

Until further notice

Requirements

5+ years of experience in infrastructure engineering or a related role
Extensive knowledge of AWS services
Proficiency in Terraform for infrastructure as code
Experience with Okta for identity and access management
Expertise with AI tooling and infrastructure, including LLM-powered development tools (e.g., Cursor) and agentic AI systems, with the ability to apply them effectively to accelerate engineering workflows and improve productivity
Comprehensive understanding of networking protocols and technologies
Proficiency in programming languages (Ruby, Node.js, TypeScript, Go, Bash)
Security-first mindset: IAM least-privilege, secrets management, network hardening
Excellent troubleshooting and problem-solving abilities
Strong communication and collaboration skills

Job Responsibility

Design, implement, and manage cloud-based infrastructure on AWS, GCP and other cloud providers
Develop and maintain infrastructure as code using Terraform
Integrate and manage identity and access management solutions with Okta
Frequent operational work including Terraform pull request reviews and support for other teams
Ensure high availability, reliability, and security of systems
Troubleshoot and resolve complex infrastructure issues
Automate infrastructure deployment and management tasks
Develop and maintain documentation for infrastructure processes and procedures
Collaborate with product-engineering teams to support application deployments
Participate in on-call rotation for after-hours support

What we offer

30 vacation days
3-month Sabbatical
family and life situation counseling
flexible working hours and remote-friendly options
Jobbatical (up to 3 months inside the EU and UK)
fully equipped office with nap, faith and family rooms
internal learning opportunities
yearly learning & development budget for external training
full access to Babbel & Babbel Live classes
mobility benefits options

Fulltime

Systems Engineer II (Automation/AI)

PagerDuty is seeking a Systems Engineer II (Automation/AI) to join our diverse, ...

Location

Canada , Toronto

Salary:

83000.00 - 125000.00 CAD / Year

PagerDuty

Expiration Date

Until further notice

Requirements

5+ years of experience in an IT support environment
3-5+ years of experience in a systems administration/engineering role with a focus on automation
Solid understanding of Agentic and Generative AI concepts and platforms
Experience working with IAM tools (Entra, AzureAD, Okta) and processes (account lifecycle, permissions, privileged account management)
Experience working in a cloud environment (Azure, GCP, and/or AWS)
Provide support to employees across the globe using ITSM solutions such as Jira as Tier 2 support
Experience with Workato or similar automation tools (Zapier, etc)
Advanced Automation skills: Implementing more complex workflows and approval processes
Proficiency in Windows and MacOS operating systems
Experience with configuration management tools (e.g., Intune, JAMF)

Job Responsibility

Develop and maintain processes and automation processes to streamline business/productivity tasks for PagerDuty employees
Administrate and iterate on our GenAI/AgenticAI programs
Look for areas of improvement to accelerate AI adoption throughout the company
Work with other IT members to advance our IAM programs, have solid understanding of authentication protocols and processes (SCIM/SAML/etc)
Provide technical support and troubleshooting for desktop-related issues, ensuring minimal downtime and disruption for employees
Work closely with other IT team members, including network and security engineers, to ensure seamless integration and operation of desktop environments
Maintain comprehensive documentation of desktop configurations, procedures, and troubleshooting steps
Assist in the creation and delivery of training materials to help employees effectively use their laptops and related software

What we offer

Competitive salary
Comprehensive benefits package from day one
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent

Fulltime

IT Infrastructure Engineer

We're hiring an IT Infrastructure Engineer to help us improve the way our tools,...

Location

United States , San Francisco

Salary:

132000.00 - 198000.00 USD / Year

Vercel

Expiration Date

Until further notice

Requirements

Fluent in scripting (Bash, Python, etc.), APIs, and automation platforms like Workato or Zapier
Skilled at designing and implementing scalable systems
Able to leverage generative AI tools to improve IT workflows and automation
Comfortable collaborating with other teams and other stakeholders
Willing to roll up your sleeves and build, implement, and maintain critical systems
Able to focus on immediate needs while aligning with long-term IT goals
Values clarity and scales knowledge effectively within the team

Job Responsibility

Automate IT workflows by integrating systems like Okta, Google Workspace, Slack, MDM, and ITSM
deliver at least one high-impact automation
Streamline SaaS lifecycle through procurement, renewals, and consolidation
reduce tool sprawl by deprecating redundant apps
Improve cross-functional processes with Security, Compliance, and People Ops
drive shared workflow improvements
Shift IT to a proactive partner by addressing tech debt and delivering quick wins that enhance the internal IT experience
Strengthen documentation standards by contributing reliable, scalable knowledge to the internal knowledge base

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

Manager, Business Technology Automation Engineering

You will own the vision, strategy, and execution of enterprise-wide automation a...

Location

United States , San Francisco; Chicago; New York City; Seattle

Salary:

170000.00 - 190000.00 USD / Year

Ironclad

Expiration Date

Until further notice

Requirements

10+ years in automation, integration, or data engineering, including 3+ years in leadership roles
Proven expertise with Workato, Glean, Okta, and enterprise apps such as NetSuite, Salesforce, BambooHR, Engineering and ticketing systems
Strong architectural/automation design skills preferred
Hands-on technical background in ETL/ELT, data modeling, SQL/T‑SQL, and scripting/developing (e.g., Python, Ruby, or similar)
Experience operationalizing automation workflows and AI agentic models for enterprise use cases
Demonstrated strengths in hiring, motivating, and retaining top technical talent
Excellent stakeholder engagement and executive influence
Ability to conduct feasibility studies, budgets, and project proposals for enterprise-scale initiatives
Track record introducing innovation in automation and AI while maintaining governance and reliability
Glean Hands-On administration and API proficiency

Job Responsibility

Define and execute the enterprise automation and AI strategy
Own architecture and technical oversight for resilient, observable automation frameworks and AI-enabled workflows
Lead enterprise integrations (e.g. GTM, EPD, G&A, Business Technology systems)
Operationalize AI use cases (knowledge retrieval, intelligent triage, automated approvals, autonomous and prompted user workflows) across applications, platforms and AI tools
Establish governance and standards for design, testing, monitoring/observability, and documentation
Engage and influence stakeholders/executives to shape priorities and drive adoption of AI-driven capabilities across functions
Hire, mentor, and retain top talent across automation engineering, analysis, and architecture

What we offer

100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
Market-leading leave policies, including gender-neutral parental leave and compassionate leave
Family forming support through Maven for you and your partner
Paid time off
Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
Mental health support through Modern Health, including therapy, coaching, and digital tools
Pre-tax commuter benefits (US Employees)
401(k) plan with Fidelity with employer match (US Employees)
Regular team events
The opportunity to help build the company you want to work at

Fulltime

Lead Architect

As the Lead Architect for the Future of Work program, you are the technical mast...

Location

Netherlands , Amsterdam/Rotterdam

Salary:

Not provided

BASIC/DEPT®

Expiration Date

Until further notice

Requirements

Enterprise Architecture: Designed and owned scalable, distributed systems in cloud-native environments (preferably Google Cloud Platform)
AI Experience: Built multi-agent, LLM-powered workflows using tools like LangGraph and Vertex AI (incl. Google Gemini)
Data & Context Systems: Experience with vector search, semantic memory, and large-scale data platforms (e.g., BigQuery)
Security & Identity: Implemented secure, multi-tenant architectures with strong identity and access controls (e.g., Okta)
AI-Native Leadership: Led senior engineers using AI-assisted development and modern CI/CD (e.g., GitHub Actions)
Technical Decision-Making: Acted as final technical authority, aligning architecture with product vision and delivery goals

Job Responsibility

Systemic Architecture: Design and oversee the end-to-end AI Orchestration System, ensuring seamless integration between the 'Shared Brain' (Context Hub), multi-agent orchestration (LangGraph), and third-party tool ecosystems
Technical Authority: Manage the Tech Leads and Lead Engineers within the PODs. You hold the ultimate accountability for the engineering roadmap, technical debt management, and the quality of the final build
AI-Native Operations: Lead the mandate to 'automate the automation.' You will ensure the engineering team uses Gemini and other AI tools to accelerate the build, maintaining a standard of high fluency in AI-assisted development
Data & Security Governance: Define the architecture for workspace isolation and 'defense-in-depth' security to ensure client data remains siloed while enabling a unified user experience
Stakeholder Triad: Act as the technical pillar alongside the PMO Lead and Head of Product, ensuring that technical feasibility never compromises the 'North Star' product vision or delivery timelines

What we offer

A flexible, hybrid working policy (2-3 days from the office, depending on location) and the opportunity to work from abroad for 13 weeks a year
24 vacation days per year and the possibility to buy an unlimited number of extra vacation days
DEPT®/YOU Learning Menu and DEPT®/YOU Special Programs. Develop your skills with courses and programs tailored to your needs
Stay happy and healthy with a contribution to your health through the OpenUp platform, gym and wellness discounts, and healthy lunches at the office
Get a discount on your lease bike and ride in style. You can also enjoy hassle free-commutes with an NS Business Card
A reputation for doing good. DEPT® has been a Certified B Corp® since 2021, has been named a Great Place To Work since 2022 in the Netherlands and named ‘Agency of the Year’ at both The Lovies and The Webby Awards
Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together

Fulltime

IT Integration Engineer

As an IT Engineer in the IT Systems & Services (ITSS) team, you will play a key ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Catawiki

Expiration Date

Until further notice

Requirements

5+ years of experience in IT automation, system integration, or infrastructure engineering
Direct experience working with or managing iPaaS platforms such as Okta Workflow, N8N, Workato, Tray.io, Boomi, Zapier, or MuleSoft
Proficient in Python, shell script or any other programming languages for automation and scripting
Solid understanding of REST APIs, SOAP, Webhooks, OAuth2, JSON/XML
Familiarity with system integrations for tools like HiBob, Workday, Okta, Jamf, Workday, Google Workspace, and Jira
Hands-on experience with Google Cloud Platform (Cloud Functions)
Deep knowledge of Slack APIs and building internal bots for team workflows
Experience or familiarity integrating LLMs and AI services, including OpenAI, into automation pipelines
Strong analytical and debugging skills for complex, multi-system environments
Ability to design integrations with security, observability, and scalability in mind

Job Responsibility

Design & Implement Automation Workflows
Build and Manage System Integrations
Leverage iPaaS Platforms
Develop Slack Bots
Use GCP for Backend Logic
Infuse AI & LLM Capabilities
Collaborate & Document
Monitor, Optimize & Secure

What we offer

€100 Catavoucher upon joining
€50 Catavoucher on each birthday
An extra day off each year to 'Pursue Your Passion'
Additional time off for significant work anniversaries (3, 5, 8, 10 years)
Extra leave for life’s big moments like marriage, engagements, or moving house

Fulltime

Senior AI Engineer

Guidepoint is seeking an experienced Senior AI Engineer to join our Toronto-base...

Location

Canada , Toronto

Salary:

Not provided

Modoras Accounting Syd

Expiration Date

Until further notice

Requirements

6+ years of professional experience (or 5+ with a Master’s degree) designing, building, and scaling distributed, production-grade backend systems
2+ years building and operating Generative AI and agentic systems in production
Strong software engineering fundamentals in Python, including building and scaling REST APIs using frameworks such as FastAPI, with experience in asynchronous programming and microservices
Hands-on experience building enterprise AI agents and workflows using LLM platforms such as OpenAI, Anthropic (Claude), or Google Gemini, and frameworks like LangChain or agent SDKs
Experience building and operating within the enterprise AI ecosystem, including custom GPTs or agents, agent builders, connectors/apps, and application or agent SDKs (e.g., OpenAI Apps SDK, ChatKit, or equivalents)
Experience designing and operating agent integration layers (e.g., MCP servers or similar) that connect AI agents to internal APIs, tools, and services, with secure authentication and authorization using enterprise identity platforms such as Okta, Microsoft Entra ID, or OAuth-based systems
Strong understanding of AI governance, compliance, and responsible AI practices, including access control, auditability, data handling, and secure deployment of AI systems in enterprise environments
Direct experience with RAG, vector search using databases such as Elasticsearch, multi-agent AI systems, tool-calling agents, prompt engineering, and agent evaluation in production environments
Cloud-native experience deploying and operating containerized applications on Azure (preferred) or AWS/GCP using Docker and Kubernetes
Proven ability to lead complex technical initiatives, make sound architectural decisions, and mentor engineers building production-ready AI systems

Job Responsibility

Design, build, and operate scalable, low-latency backend services and REST APIs that power Generative AI capabilities, including retrieval-augmented generation (RAG) pipelines, vector search, and enterprise-grade agentic systems
Own the full lifecycle of AI applications and agents, from system architecture and development to CI/CD, deployment, agent evaluation, monitoring, and ongoing optimization in production
Build production-grade research agents and enterprise AI workflows that integrate LLMs with proprietary knowledge, vector databases (e.g., Elasticsearch), internal tools, external APIs, and real-time data
Design and operate multi-agent AI systems, including tool-calling agents and agent orchestration patterns, to support complex research and enterprise workflows
Apply AIOps best practices for building, evaluating, deploying, and operating AI agents with strong observability, reliability, and quality controls
Continuously improve retrieval and generation quality using prompt engineering, retrieval tuning, re-ranking, advanced chunking strategies, and hallucination reduction techniques
Provide technical leadership through design discussions, code reviews, and mentorship, and partner closely with product and business stakeholders to influence the AI roadmap

What we offer

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

Senior Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States

Salary:

116000.00 - 182000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

4–6 years of experience in software engineering, systems integration or workplace technology development, with a focus on automation or scripting
Proficiency in one or more programming/scripting languages (Java, Go, Python, JavaScript/Apps Script, Bash, PowerShell) and comfortable with RESTful APIs, webhooks, and integration frameworks
Familiarity with SaaS platforms (Google Workspace, Slack, Zoom, Atlassian) and interest in agentic/AI workflows (LLMs, agents, prompt pipelines)
Understanding of IAM/SSO (Okta, SAML/OIDC/SCIM) or a willingness to grow in this area
Experience or curiosity about CI/CD, workflow orchestration, and building self-service delivery models that leverage agents or automation
Strong troubleshooting, documentation and cross-functional communication skills
A growth mindset: you embrace learning new AI technologies, care about user experience, and seek to improve systems through intelligent workflows
Interest in building agentic flows (for example: bots that triage tickets, summarize documents, assist user tasks) and integrating them responsibly into workplace systems

Job Responsibility

Design, build, and maintain scripts, APIs, and workflow automations that power key workplace systems — collaboration tools (Google Workspace, Slack, Zoom, Atlassian) and identity platforms (Okta)
Develop lightweight services or integrations that connect collaboration, GenAI-tools (OpenAI, Claude, Gemini) and internal systems, enabling agentic flows (e.g., virtual assistants, workflow agents) that reduce manual work and improve user experience
Implement monitoring, logging and observability for automation and AI workflows
troubleshoot issues and uncover opportunities for reliability, scalability, and cost-efficiency
Contribute to the evolution of secure onboarding, off-boarding, and mover workflows across access, permissions and SaaS tools — with automation and safe agentic handoffs where appropriate
Collaborate with IT, Security, and People teams to ensure identity, data, and compliance standards (SSO, DLP, classification) are deeply embedded through automation and script-driven guardrails
Participate in pilot projects for new AI and productivity capabilities: integrate LLMs & agents, track usage/adoption metrics, build flows that assist users (e.g., knowledge-agent, document summarizer)
Contribute to the code-review process, documentation of shared libraries for workflows/agents, and build a library of integration templates for reuse across the team
Partner with senior engineers to modernize workplace systems through scalable architecture, API-first design, and intelligent agentic workflows

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

AI Engineer - Okta integration

NTT DATA

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 02, 2026

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