Hr Technology Security Analyst Jobs

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :

Position Overview: We are seeking a strategic, data-driven leader with a deep understanding of sales processes, marketing strategies, and customer success to join the GTM Operations team. The Manager of GTM Operations (EMEA/APAC) is a critical, strategic partner to the VP of Sales in EMEA and APAC. You will foster collaboration and alignment among the entire commercial organization including Sales, Customer Success, Marketing, and Partnerships. The ideal candidate will have a proven track record of building scalable processes and leveraging AI to drive sustained revenue growth. Strong analytical and strategic planning capabilities are essential. Key Responsibilities: Commercial Strategy and Growth Partner with the Sales and Finance to develop and operationalize a commercial growth strategy, ensuring alignment between pipeline and bookings targets, capacity, headcount and budgets Translate complex data into actionable recommendations for Commercial leaders Develop and maintain segmentation models and sales coverage strategies that align to growth objectives, drive focus, and optimize rep productivity Forecasting & Pipeline Management Drive and evolve the sales forecasting framework, implementing a disciplined, data-driven forecast cadence across all theatres and segments Utilize Salesforce, GTM tools and data sets (snowflake) to drive predictability, pipeline conversion, stage hygiene, and deal inspection processes. Leverage AI and machine learning capabilities within the existing data stack (e.g., Snowflake, Salesforce) to enhance forecast accuracy, surface pipeline risk earlier, and automate routine reporting Deliver consistent r

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

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Network Engineer to join our team. This is a fully remote capacity in the Netherlands role, reporting to the Manager, Network Engineering in the Cloud Ops - Network Engineering department. This position involves a mix of infrastructure, project management, and network engineering responsibilities. You will join our global team as an integral member, taking ownership of the deployment, monitoring, and ongoing operation of our worldwide production infrastructure across diverse data center locations. We are seeking a high-trust collaborator with a background in large-scale enterprise or telecom networks who approaches challenges with a growth mindset and a commitment to achieving engineering excellence. This role requires active participation in our technical on-call rotations, which include support during weekends and holidays to ensure continuous service reliability. What you’ll d

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workf

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Consultant Appian Customer Success is obsessed with delivering exceptional customer outcomes and mission-critical business impact at speed. Our team acts as the elite consulting arm of Appian, partnering directly with the world’s largest commercial clients to bring their most ambitious ideas to life. By joining this high-performance team, you will establish a world-class foundation in professional consulting while directly accelerating global adoption of our AI-Powered Process Automation platform. As a Consultant at Appian, you won’t just write code - you will architect modern business transformations. This role offers an unprecedented opportunity to sit at the intersection of business strategy and technical innovation. Instead of being pigeonholed into isolated legacy components, you will own the end-to-end delivery of highly visible, custom software solutions. You will work side-by-side with client executives to solve complex workflow problems, build robust integrations, and empower enterprise teams to achieve Enterprise-Grade Orchestration . What You’ll Do Architect & Implement: Design, develop, and deploy robust, custom automation solutions throughout the entire project lifecycle utilizing Appian’s AI-Powered Process Automation platform. Integrate Ecosystems: Build seamless data connections and scalable APIs to integrate multiple external enterprise systems using REST, SOAP, and JDBC connections. Engineer Data Models: Launch new relational data models in production environments and optimize database design through sophisticated SQL development. Ag

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: We are looking for a Senior Applied Value Engineer, Healthcare & Life sciences —an industry expert who can bridge the gap between technical process mining and strategic business outcomes. You will act as an architect for critical work-streams within a major HLS account, translating complex operational data into clear value drivers. As a Senior Applied Value Engineer, you are a "go-to" execution expert within our HLS go-to-market organization. You will move beyond standard process optimization to link Celonis capabilities to key outcomes specific to fast-moving consumer goods operations. You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor, helping them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set and strong analytical skills at the forefront of one of the fastest-growing tech companie

About the Role: Tubi is one of the largest free streaming platforms in the US, serving a large-scale streaming audience across Web, iOS, Android, Roku, Fire TV, Apple TV, and game consoles. Quality at this scale isn't a checkbox — it's a competitive advantage. We're looking for an Automation Engineering Manager to lead the team responsible for building and operating Tubi's multi-platform test automation infrastructure. You will own the strategy, tooling, and execution quality across our client surfaces — from video playback and ad delivery to content discovery and onboarding. This role is for a hands-on technical leader who can set direction, influence cross-functional roadmaps, and stay close enough to the code to guide architecture, review critical implementation decisions, and unblock complex technical issues. You will build a team that ships reliable automation at speed — and you will help the team move toward AI-native automation practices: fluent in AI tooling, proactive about applying it, and disciplined about using it responsibly. This is a hybrid role based out of either our San Francisco or Toronto office. You must be willing to travel to either location at least 2 days a week. What You'll Do: Test Strategy & Quality Planning Define and own Tubi's multi-platform automation strategy — covering Web, iOS, Android, CTV (Roku, Fire TV, Apple TV, Smart TVs, game consoles), and API layers. Establish testing standards, coverage targets, and quality gate policies across the CI/CD pipeline to protect release confidence and production reliability. Design specialized test strategies for business-critical scenarios: video playback (HLS/DASH), ad insertion, content recommendation surfaces, and user authentication flows. Use AI-assisted analysis (e.g., failure pattern clustering, test gap detection) to continuously improve test strategy based on real production signal and defect trends — not gut instinct. Automation Framework & Infrastructure Lead the

OUR MISSION At Redwood Software we unleash human potential. We empower our customers with lights-out automation for their mission-critical business processes. Redwood Software is the leader in full stack automation for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower organizations to orchestrate, manage and monitor their workflows across any application, service or server – in the cloud or on premise – with confidence and control. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT Redwood is seeking an experienced and highly motivated Workday Transformation Analyst, with 5-7 years of experience to join our dynamic team. This role will be crucial in driving our Finance Transformation initiatives, with a strong focus on Workday optimization and integrations. The ideal candidate will possess deep technical expertise in Workday and a proven track record of successfully implementing and optimizing Workday solutions in a transformation context. This role will be on-site in our Hyderabad office an expected to work 3:00pm - 12:00am IST (4:30am - 1:30pm CST). We will assess moving to a hybrid requirement after the first 90 days of employment. Manage multiple cross-functional projects in the Finance and Accounting Organization through all phases of the project lifecycle, from planning and implementation to testing and training. Collaborate with functional leaders and project stakeholders to ensure successful project execution. Identify and mitigate operational and technical risks that may impact project success. Ensure data integrity and accuracy within Workday and integrated systems. Support the functionality of various systems with

Here's a summary of the role: Do you love building scalable cloud platforms and solving complex engineering problems with modern technologies? As a Senior Software Engineer at Diligent, you'll design and deliver high-performing , serverless applications that power our global SaaS platform. You'll work extensively with TypeScript, Node.js, AWS, and event-driven microservices, owning services from design to deployment and production monitoring. This is an opportunity to influence technical decisions, mentor engineers, and explore how AI can transform software development and engineering productivity. If you're passionate about cloud-native architectures, distributed systems, and building software that scales to millions of users, we'd love to meet you. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design and build scalable backend services and event-driven microservices using TypeScript and AWS. Develop secure APIs and integrations that power reporting, analytics, and dashboard experiences. Build and maintain serverless solutions using AWS services such as Lambda, EventBridge , SQS, and DynamoDB. Drive engineering excellence through testing, observability, automation, and production readiness practices. Contribute to infrastructure-as-code and CI/CD pipelines using AWS CDK and modern DevOps practices. Mentor engineers, participate in architecture discussions, and champion the use of AI tools to improve development efficiency. These are the essentials you'll need to get an interview: 6-8 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend development patterns. Hands-on experience building cloud-native applications on AWS. Strong understanding of serverless architectures and event-driven microserv

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Cloud Security Engineer, you will act as a technical leader in safeguarding our core cloud infrastructure. You will take ownership of maintaining the highest standards of security controls for our critical systems within Google Cloud Platform (GCP). We're looking for someone who thrives in complex environments, can solve infrastructure security problems where no established patterns exist, and isn't afraid to get their hands dirty . You won't just advise; you will actively build, configure, and fix security controls. You'll leverage your expert understanding of cloud services, infrastructure-as-code, and container security to architect robust security measures and drive systemic improvements across the organization. What you’ll do: Architect and Lead GCP Security: Take end-to-end ownership of designing and implementing security architectures for our GCP infrastructure. You will look beyond immediate fixes to architect long-term, scalable solutions for networking, compute, storage, and GKE. Hands-on Remediation & Engineering: You don't just identify risks; you fix them. You will actively write code, create Pull Requests, and apply configurati

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team Amplitude’s mission is to help companies build better products. By building best-in-class teams, we create best-in-class products that customers love. We approach challenges with humility, we take ownership over our work, and our growth mindset pushes us to constantly improve ourselves, each other, and the value we bring to customers. Join us as we deliver innovative and creative solutions to our customers. We're looking for a Customer Success Architect, based in India and supporting Global Customers , with experience providing guidance on data management and consultative support on customer taxonomy and tech stack. Maintaining and establishing clean product analytics data is critical for our customers to be able to understand and drive their products forward. The ideal candidate is an enthusiastic professional who thri

About The Role & Team Amplitude’s mission is to help companies build better products. By building best-in-class teams, we create best-in-class products that customers love. We approach challenges with humility, we take ownership over our work, and our growth mindset pushes us to constantly improve ourselves, each other, and the value we bring to customers. Join us as we deliver innovative and creative solutions to our customers. We're looking for a Customer Success Architect, based in India and supporting Global Customers , with experience providing guidance on data management and consultative support on customer taxonomy and tech stack. Maintaining and establishing clean product analytics data is critical for our customers to be able to understand and drive their products forward. The ideal candidate is an enthusiastic professional who thrives in a fast-paced environment and possesses a strong curiosity for "how things work" and "how things should work". You are a solution- and execution-oriented individual with a dedication for getting things done. As a Customer Success Architect, you will: Serve as a trusted technical hand-on operator for our customers Possess a mastery of Amplitude products in order to provide strategic benefit to customers in Data Audit & Taxonomy clean up Assist customers in mapping the data-flow architecture between Amplitude and upstream sources — Segment, mParticle, Snowflake, BigQuery, RudderStack, etc Assist our customers by creating playbooks as they integrate Amplitude into additional data flows and business processes, thereby making Amplitude an integral business partner Run deep-dive investigations into data discrepancies and recommend action plan Audit existing Amplitude implementations against best practices — SDK version, instrumentation patterns, property naming, event-volume efficiency — and produce a scored report with prioritized remediation steps from a repeatable rubric Gather, organize, and report trends and customer