Technical Security Governance Lead Jobs

!Hiring..! Job Title: Java Developer (7+ Years Experience) Location: Remote (Hyderabad) Experience: 7+ Years (Mandatory) Key Responsibilities: Design, develop, and maintain scalable microservices using Java and Spring Boot Lead and contribute to API development and lifecycle management (design, discovery, governance) Implement RESTful APIs following best practices and standards Ensure API security using AuthN, AuthZ, OAuth 2.0, OpenID, PKCE, and OWASP guidelines Develop and maintain API documentation (OAS standards, error handling, etc.) Work with event-driven architecture using Kafka or other message brokers Collaborate with teams to drive technical solutions with minimal supervision Design and manage databases (SQL & NoSQL) with strong data modeling expertise Write high-quality, production-ready code using Java and open-source technologies Required Skills: Strong hands-on experience in Java and Spring Boot Solid understanding of Microservices Architecture Expertise in REST APIs and API lifecycle management Experience with Kafka or similar messaging systems Strong knowledge of API security standards (OAuth 2.0, OpenID, etc.) Experience with database technologies (SQL & NoSQL) Familiarity with API documentation standards (OpenAPI Specification) Good problem-solving and collaboration skills Good to Have: Experience with API Gateways Exposure to customer-facing APIs Additional Requirements: Ability to quickly learn and adapt to new technologies Strong ownership and ability to work with minimal guidance How to Apply: Interested candidates can share their resumes at:

Here’s a summary of the role: As a Staff Ruby on Rails Engineer at Diligent, you will set technical direction for secure, scalable, and high-performing SaaS applications and services that power our governance platform. This role is ideal for you if you thrive on solving the hardest technical problems, shaping architecture across multiple teams, and driving how the organization builds software — including how we responsibly adopt AI into our engineering practices and products. You will own critical systems end-to-end, partner closely with Product, Security, DevOps, and other engineering leaders to shape technical roadmaps, and mentor engineers across the department. A key part of this role is helping define our AI strategy: embedding AI responsibly into our systems and workflows, advising on where AI tools and capabilities can meaningfully improve delivery, and raising the bar on how the team uses them safely and effectively. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Champion the design, delivery, and evolution of secure, scalable Ruby on Rails applications and services, driving architecture decisions across multiple teams and codebases, with responsibility for scalability, reliability, and the underlying infrastructure required to run them effectively. Set technical direction for major projects and platform initiatives, from solution design and prototyping through implementation and production ownership. Own and evolve the technical roadmap by identifying, shaping, and driving new technical initiatives and investments. Develop and evolve web applications and services with a strong focus on scalability, maintainability, reliability, and long-term platform health. Identify systemic pain points across services and propose pragmatic architectural improvements, including decomposition of monoliths and evolution toward service-oriented or microservices patterns where it adds valu

Staff Software Engineer Bengaluru, Karnataka, India Opportunity Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop, and optimize our cloud-native healthcare platform while driving the adoption of AI-First and AI-Augmented Software Engineering practices. This role is pivotal in shaping the future of software development at Get Well by combining deep technical expertise with modern AI-assisted engineering workflows. As we evolve toward an AI-First engineering organization, this leader will champion the use of Generative AI, AI development assistants, and Agentic AI to improve developer productivity, software quality, and engineering velocity. The ideal candidate brings deep expertise in software architecture, cloud-native application development, AI-enabled engineering, and distributed systems. This role provides technical leadership across multiple engineering teams, ensuring high standards for architecture, code quality, reliability, security, and AI adoption. This is a hands-on leadership role where strategic thinking meets deep engineering execution within a complex healthcare environment. This position reports to the Director, Product Development and requires close collaboration with software engineers, AI engineers, product managers, DevOps, QA, and compliance specialists. Key Responsibilities Technical Leadership Define and drive the architecture of scalable, distributed healthcare platforms. Champion AI-First Software Engineering practices across the development lifecycle. Lead the adoption of AI-Augmented Development , including spec-driven development, AI-assisted coding, code reviews, testing, and documentation. Establish engineering standards, Cursor/AI coding guidelines, reusable patterns, and governance for responsible AI usage. Provide hands-on leadership in architecture, coding, design reviews, debugging, and performance optimization. Mentor enginee

Job Overview: We are seeking an experienced Azure Cloud Application Architect to design and implement enterprise-grade, cloud-native solutions using Azure services. This role involves defining best practices for architecture, governance, security, and cost optimization while enabling CI/CD and Infrastructure as Code. You will provide technical leadership, mentor teams, and act as a trusted advisor to clients, driving modernization, migration, and innovation initiatives. The position also includes pre-sales and post-sales engagement, building strategic partnerships, and contributing to thought leadership through white papers and presentations. Experience : 10+ years Key Responsibilities: Design and implement cloud-native application architectures using Azure services (App Services, AKS, Functions, Service Bus, etc.). Collaborate with stakeholders to translate business requirements into technical solutions. Establish governance, cost optimization, and security best practices for Azure applications. Work closely with DevOps teams to enable CI/CD pipelines and infrastructure as code (IaC). Provide technical leadership, mentoring, and guidance to development teams. Define and implement best practices architecture design, deployment, and operations. Design highly available, scalable, and cost-effective cloud solutions meeting business requirements. Collaborate with cross-functional teams, including DevOps, development, and business units, to align cloud solutions with organizational goals. Analyse complex technical issues, provide recommendations, and lead the resolution efforts for cloud-related challenges. Build capabilities, offerings, service accelerators and differentiators. Build a go-to-market strategy that highlights our cloud offerings that best support our customers' challenges. Innovation and Thought leadership, bringing out white papers, blogs, presentations, and collaterals. Responsible for delivering solutions archi

Principal Azure Data Engineer ( Databricks ) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Lead the architecture of data platforms driving the future of financial services. The Role As a Principal Azure Data Engineer ( Databricks ) at Capco, you'll architect and lead the delivery of enterprise-grade data solutions using the Databricks platform within the Azure ecosystem. You'll drive the design and implementation of streaming and batch data pipelines, helping our clients modernise their data capabilities. Working with cross-functional teams, you'll guide clients on technical strategy and best practices while ensuring quality, security, and governance standards are maintained across deployments. You'll also champion AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll Do Architect and lead the end-to-end delivery of Databricks -based data platforms across Azure environments. Design secure, scalable data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure -native services, applying AI-enabled engineering approaches where appropriate. Establish and promote engineering best practices across the data lifecycle, ensuring robust governance, quality, and operational excellence. Partner with clients to define technical strategy, data architecture, and governance frameworks that align with business objectives. Mentor engineering teams, develop internal capability, and encourage the responsible use of approved AI tools and automation to enhance delivery and collaboration. What We're Looking For Proven expertise with the Databricks platform, including Unity Catalog, Delta Lake, orchestration, and enterprise-scale Azure deployments. Strong technical skills in Python , PySpark , and distributed data pr

P-1107 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform. You will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load. The impact you will have: Define and drive the strategy for IAM systems, including authentication and access control. Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale. Provide technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance. Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product. Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs. Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust. What we look for: 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment. Experience buildin

Become a part of our caring community The Application Portfolio Architect evaluates application portfolios to support mergers, acquisitions, divestitures, and strategic partnerships across the healthcare enterprise. You will assess business and technical fit. It identifies functional overlap and capability gaps. You will define integration and rationalization strategies that align acquired technologies with existing application landscape, operating model, and regulatory obligations. This position partners with business leaders, product teams, enterprise architecture, cybersecurity, infrastructure, data teams, and integration partners to support pre-acquisition due diligence and post-close integration planning. We are looking for experience in healthcare technology ecosystems, application rationalization, cloud and integration patterns, and regulatory considerations such as HIPAA, privacy, and data governance. The Application Portfolio Architect evaluates application portfolios to support mergers, acquisitions, divestitures, and strategic partnerships across the healthcare enterprise. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and perform work without direction. Exercise considerable latitude in determining goals and approaches to assignments. Key Responsibilities Lead application portfolio assessments and technology due diligence for acquisitions and strategic projects. Evaluate applications and platforms for business value, technical fit, integration complexity, security, scalability, cloud readiness, and technical debt. Develop portfolio rationalization strategies, including recommendations to retain, retire, replace, consolidate, modernize, or integrate applications. Define target-state architecture and in

Senior Infrastructure Architect — Enterprise Observability and Automation Description - Job Summary Senior individual contributor responsible for the architecture, implementation, and operational ownership of enterprise observability, monitoring, and automation platforms across HP's global IT environment. This role modernizes infrastructure visibility capabilities while ensuring operational stability, security, and compliance. Serves as a technical and operational bridge between infrastructure engineering, cybersecurity, SOX/compliance stakeholders, automation teams, and external technology partners — leading complex initiatives such as platform migrations, enterprise integrations, and governance enablement. Responsibilities Enterprise Observability and Monitoring Application owner and senior technical authority for enterprise monitoring and logging platforms (Datadog, Splunk), including platform governance, roadmap alignment, and operational oversight. Lead enterprise-scale monitoring platform migrations, including architecture design, agent strategy, data ingestion models, vendor coordination, and deployment across 5,000+ servers. Define standards for alerting, dashboards, observability data quality, and integration with ITSM platforms (ServiceNow). Design and manage multi-org Datadog architecture, including org structure, RBAC, SSO/SAML, secrets management, and cybersecurity compliance. Oversee SNMP-based monitoring of storage and network devices, including device profiling, syslog/event integration, and NetFlow collection. SOX Compliance and IT Governance SOX control owner for enterprise monitoring applications — approve monthly reviews, participate in internal/external audits (EY), and maintain ITGC/SOX compliance. Provide audit evidence, walkthrough docu

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Senior Structured Data Access Control Process Analyst will play an important role in supporting Micron's Structured Data Access Control (sDAC) program and related data governance initiatives. This role analyzes business processes, identifies opportunities for automation and efficiency, develops reporting and dashboard solutions, supports operational workloads, and contributes to projects that strengthen secure and compliant access to enterprise structured data. The successful candidate will combine strong analytical thinking with process improvement, stakeholder engagement, reporting, and project execution skills. Working closely with technical and business teams, they will transform complex governance processes into actionable insights and help drive continuous improvements across access management and governance workflows. This position supports both day-to-day operations and strategic initiatives, helping advance governance modernization, workflow automation, and user experience improvements across the organization. Responsibilities Develop and maintain a deep understanding of Structured Data Access Control (SDAC) process and related governance workflows along with the knowledge of Role Based Access Control (RBAC) and data security management for integration. Define, document and improve business processes, requirements, workflows, operating procedures, governance standards, user guidance, training material and communications. Identify opportunities f

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What You Will Do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and stor

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Design, build, and maintain scalable, reliable, and high-availability data platforms and data pipelines to support analytics and data-driven applications Collaborate closely with data scientists, analysts, product teams, and software engineers to translate business requirements into robust and reusable data solutions Own data modeling and data architecture design to ensure data consistency, accuracy, and long-term maintainability Develop and optimize both batch and real-time (streaming) data processing pipelines to improve performance and system stability Ensure data quality, data governance, and data security through monitoring, validation, and anomaly detection mechanisms Continuously improve existing data pipelines and platforms through performance tuning, cost optimization, and technical debt reduction Participate in technology selection for data platforms and tools (e.g., databases, cloud services, data processing frameworks) and promote engineering best practices Create and maintain technical documentation to support knowledge sharing and long-term system sustainability Mentor and support junior data engineers, contributing to the overall technical growth and engineering excellence of the team Stay current with emerging trends and technologies in data engineering and big data, and evaluate their potential adoption and business value Responsibilities include, but not limited to: <span

About the Role As an Account Director for Higher Education in AMER, you will own strategic relationships with colleges, universities, and higher education systems as they move from AI experimentation to responsible, institution-wide transformation. You will work with presidents, provosts, CIOs, CTOs, academic and administrative leaders, researchers, security teams, and procurement stakeholders to define priority use cases, build the technical and governance foundation for deployment, and translate institutional goals into a multi-year AI transformation roadmap. You will own the commercial and customer journey end to end—from territory strategy, pipeline creation, and executive alignment through evaluation, procurement, deployment, adoption, consumption, value realization, and expansion. This is a deeply technical, consultative sales role. You will be expected to understand AI capabilities and limitations, integration patterns, data governance, privacy, security, and change management; partner effectively with technical experts; and remain accountable for measurable customer and revenue outcomes after signature. In this role, you will: Own and execute the AMER higher education territory and account strategy, prioritizing institutions where OpenAI can support meaningful, responsible, and scalable transformation. Create pipeline and lead complex, multi-threaded new-business and expansion opportunities from first engagement through procurement, deployment, adoption, and value realization. Engage credibly with presidents, provosts, CIOs, CTOs, academic leaders, researchers, administrators, security teams, legal, procurement, finance, and end-user champions. Lead cross-functional pursuit and account teams across Solutions Engineering, Customer Success, Product, Research, Security, Legal, and other functions to design evaluations, pilots, technical validation, executive business cases, production deployments, and adoption plans. Translate AI model and platform capabilities

About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Global consulting and advisory partners are essential to helping enterprises move from AI strategy to production deployment. PwC brings global reach, deep industry and functional expertise, technology and transformation capabilities, and longstanding relationships with complex and regulated enterprises. This role will lead OpenAI’s global partnership with PwC and create the strategy, operating model, and field motions needed to turn that relationship into repeatable customer and commercial impact. This role is based in San Francisco, New York City, or Seattle. We use a hybrid work model of three days in the office per week. About the Role We are hiring a Partner Director, PwC to serve as the single accountable owner of OpenAI’s strategic relationship with PwC globally. You will define the partnership thesis and joint business plan, build executive alignment, activate PwC’s industry, advisory, technology, sales, and delivery organizations, and develop repeatable go-to-market motions that accelerate enterprise AI adoption. This is a strategic and hands-on leadership role. You will move fluidly between senior executive engagement, joint account and opportunity strategy, solution and delivery alignment, field enablement, governance, and day-to-day execution. Success requires a strong understanding of how a large, matrixed professional-services organization operates, commercial discipline, technical fluency, and the ability to align teams without relying on formal authority. The ideal candidate has led a high-impact global alliance with

FEQ227R233 MANAGER, FIELD ENGINEERING About the Role As a Manager, Field Engineering, you will lead a team of technical customer advisors who help organizations solve complex data, analytics, and AI challenges. You will work closely with Sales and cross-functional partners to translate customer priorities into effective technical strategies, strong customer outcomes, and durable business impact. This role is typically aligned to an account district, patch, segment, or comparable portfolio and leads a team of approximately 8–10 Field Engineering professionals. You will stay close to the work while building the coaching, operating, and collaboration practices that enable your team to succeed. The Impact You Will Have Lead, coach, and develop a high-performing and inclusive Field Engineering team. Partner with account teams to define technical-win strategy, qualify opportunities, prioritize customer needs, and align team resources. Build trusted relationships with customer stakeholders, including Director-, Head of, and VP-level audiences as appropriate to the engagement. Guide discovery, solution strategy, architecture discussions, adoption planning, and value realization for customer engagements. Establish regular operating rhythms to inspect progress, customer health, technical risk, escalations, capacity, and business impact. Coach team members to communicate clearly, navigate ambiguity, influence stakeholders, and connect technical recommendations to business outcomes. Maintain technical credibility across Databricks platform concepts, data and AI technologies, cloud architecture, governance, security, and networking. Represent customer needs internally and partner with Product, Engineering, Support, Professional Services, Marketing, and Partners to resolve issues and improve outcomes. Create a culture of psychological safety, inclusion, accountability, continuous learning, and recognition. Experiment with AI-enabled tools and repeatable practices that improve tea

Role Overview We are looking for a Senior FP&A Engineer to lead the design and implementation of enterprise planning solutions across Finance, Sales, and Workforce domains. This role will be part of a Global Finance Technology, partnering closely with onshore FP&A, RevOps, and other Business teams. You will play a key role in driving the organization’s transition to driver-based, integrated planning using platforms such as Pigment, Anaplan, and Workday Adaptive Planning, while ensuring scalability, governance, and high-quality delivery from India. We are looking to speak to candidates who are based in Gurugram or Bangalore for our hybrid working model. Key Responsibilities 1. Enterprise Planning Delivery Design and build scalable planning models across: Financial Planning (P&L, Cash Flow, Balance Sheet) Workforce Planning and Cost modeling Sales & Revenue forecasting (ARR, pipeline, bookings) Own end-to-end delivery working with the Product Manager : design → build → test → deploy → support 2. Model Development & Optimization Build multi-dimensional, driver-based models with strong focus on performance Develop scenario planning, versioning, and forecasting capabilities Optimize model size, calculation efficiency, and user experience 3. Platform Expertise Subject Matter Expertise in: Pigment Anaplan (Model Builder / Solution Architect) Configure workflows, security, and access controls Leverage platform-native capabilities vs over-customization 4. Data Integration & Automation Integrate planning tools with enterprise systems: ERP (NetSuite / Oracle) CRM (Salesforce) Data platforms Build and maintain automated data pipelines using SQL, APIs, or ETL tools 5. Stakeholder Collaboration (Global Model) Work closely with US / EMEA FP&A, IT, and Business teams Participate in requirement workshops and translate business needs into technical designs Provide regular updates, demos, and documentation to global stakeholders 6. Governance, C