Aws Specialist Seller Jobs

POSITION SUMMARY Natera is seeking a Principal AI Engineer to set technical direction for, and hands-on build of, the Vector Store GenAI Platform that powers document intelligence and retrieval across our Real-World Data (RWD) organization. The platform ingests clinical documents from multiple sources, indexes them for high-quality search, and makes that content available to downstream AI workflows and business use cases across oncology and other clinical domains. This is a principal-level individual contributor role with architecture-plus-build ownership of retrieval, document processing, and ingestion systems. You will define platform strategy and sequencing, ship production code in a cloud environment, raise the reliability and quality of search and retrieval, and prove new approaches through POCs and benchmarks. You will partner with clinical, engineering, and product leaders to turn ambiguous priorities into a clear technical roadmap, establish standards for how retrieval serves agents and re-extraction workflows, and deliver measurable improvements in platform quality and operability—with high autonomy and limited day-to-day direction. The ideal candidate combines deep hands-on engineering with a track record of owning complex AI platforms end to end. You set direction, implement critical path yourself, and elevate the technical bar across the teams that consume and extend the platform. RESPONSIBILITIES Own platform architecture and hands-on delivery for the Vector Store GenAI Platform, including search and retrieval, document processing and chunking, ingestion pipelines, and APIs that serve downstream AI workflows. Set technical direction for hybrid search and retrieval quality; evaluate embedding models and retrieval approaches through working implementations, POCs, and benchmarks, and drive adoption of what works in production. Advance document parsing and chunking so clinical content is indexed in a way that supports accurate, structured, and faceted retri

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team In this role, you'd be joining the Alloy Integrations team. We own how Metronome's customers collect payments and recognize revenue. We build and run the integrations that connect Metronome's usage-based billing platform to the systems businesses depend on to get paid: Stripe invoicing and payments, cloud marketplaces (AWS, Azure, and Google Cloud), ERP systems like NetSuite and QuickBooks, and CRM systems like Salesforce. We also bring Stripe products such as Checkout into Metronome, so customers can move from contract to cash in one place. Our team helps Stripe increase the GDP of the internet by making sure every invoice reaches the right system and every payment is collected and accounted for correctly, at scale. We focus on two areas: Invoicing: collection, dunning, and invoice delivery Quote-to-cash automation: connecting the full journey from a signed deal to recognized revenue What you'll do You'll build and operate distributed systems that move billing data between Metronome and the platforms our customers use to run their finances. The work combines product engineering and reliability. You'll ship features that customers ask for directly, and you'll strengthen the event-driven pipelines that handle large invoicing spikes every month-end. You'll work closely with our product manager, with partner engineering teams that own contracts, usage rating, and invoice finalization, with solutions architects who build ERP integrations with cu

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. The Auth0 Platform Observability team owns the observability tooling that monitors the Auth0 Platform, and we are looking for an Observability Engineer to help ensure our Product and Platform Engineers can monitor and observe our platform while we continue to rapidly ship software our customers love. Our engineers maintain and automate observability tooling for our entire platform, including metrics, logs, and traces. We are looking for engineers passionate about monitoring, observing, measuring uptime and availability, and ensuring platform stability. If you have experience within the Site Reliability Engineering (SRE) field or working as a Development Operations (DevOps) engineer, and you have a passion for Observability tooling, this position will allow you to further your learning and development in these areas. As a Senior Engineer on this team, you will act as a core technical leader. You will work cross-functionally to help integrate services with our instrumentation libraries, support product teams, and actively investigate incidents to identify our observability gaps. Responsibilities: Proven ability to champion observability best practices, acting as an educator who can effectively correct anti-patterns and teach other engineering teams how to build robust, standardized instrumentation. Be an expert in running services in production environments Contribute to the process of designing services for high growth and high availability. Provision, confi

This role sits within our Digital Customer Success team. This team exists to manage and evolve how we serve customers through digital and agentic experiences. The team helps MongoDB deliver a consistent, personalised and relevant experience using data, lifecycle programmes, automation, and human judgement where it matters most. We are looking for a Digital Success Manager to foster high-impact customer relationships at scale by leveraging data, automation, and digital channels to deliver tailored, value-led experiences. Blending strategic insight with digital programmes, you will advance our Digital-First strategy and achieve key organizational goals. Serving as a subject matter expert across a high volume of low-to-mid-tier accounts, you will build deep knowledge of the long tail of your assigned region, analyzing retention trends and uncovering new ways to add value. Rather than conducting traditional 1:1 meetings, you will drive customer outcomes using scalable digital check-ins, automated health-score triggers, and 1:many outreach, stepping in personally as the human-in-the-loop escalation point when judgment, nuance, or a personal touch is needed. Because this role is still evolving, we seek an entrepreneurial self-starter who is curious, driven, and excited to take initiative, someone who is knowledgeable and excited about AI and uses it hands-on to accelerate their work, run their own research, and manage their own programmes, but also understands its limitations. In this role you will partner closely with sales and cross-functional teams to shape the future of Digital Customer Success. We are looking to speak to candidates who are based in Gurugram/Bengaluru for our hybrid working model. Who You Are Our ideal candidate thrives in dynamic environments, is passionate and knowledgeable about AI, and brings strong analytical skills paired with a deep, customer-centric mindset. You are: Regional Expert & Escalation Point: Deep, long-tail knowledge

Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make. Pie Insurance’s Technology team builds and operates a suite of applications and services that allow direct consumers, partners, and agents to manage commercial insurance policies. The team collaborates closely with our business partners to design and implement new features to help the company scale with increasing demand. We are seeking highly motivated Backend Engineers who encourage an environment where engineers are thought leaders and foster a culture of diversity and inclusion. Acting as leaders across the organization on design, architecture, and best practices, they elevate those around them and push the company forward. How You’ll Do It You’ll define and evolve our AWS infrastructure as code using CDK, treating infrastructure with the same review, testing, and release discipline as application code You’ll apply security and compliance practices appropriate to a regulated industry, supporting SOC2 and similar audits; least-privileged IAM, secrets management, and well-defined network and account boundaries. You’ll leverage AI-powered development tools (e.g., Claude Code) as part of your daily workflow to accelerate code generation, testing, and documentation. You’ll participate in peer code reviews across both application and infrastructure changes, ensuring the delivery of high-quality code and adherence to coding standards. You’ll write clean, maintainable, and efficient code primarily in TypeScript (with some C# preferred). You’ll collaborate transparently with product management, designers, stakeholders, and fellow engineers throu

MongoDB and Customer Success Our Customer Success team is the linchpin of the post-sales customer relationship. By combining deep business and technical savvy, Customer Success keeps MongoDB at the center of our customers’ technology strategy, and ensures every customer can realize the full potential of their investment. Customer Success Manager The Role As a Customer Success Manager, you are the trusted advisor helping customers navigate their journey on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of accounts, acting as a strategic connector between your customers and the right resources at the right time to achieve their unique business goals. You’ll drive customer retention, revenue realization, and advocacy. You’ll build deep relationships, understand customer needs inside and out, and seamlessly navigate account team and internal resources to deliver real, measurable impact where your customers need it most. We are looking to speak to candidates who are based in Tokyo for our hybrid working model. Key Responsibilities Customer Advisory Proactively identify risks and ensure deployment health by advising on best practices and operational strategies. Deliver optimal solutions to critical customer challenges, accelerating time-to-value and guiding customers to achieve their business goals through their MongoDB deployments. Conduct comprehensive customer business reviews, analyzing technical health and operational performance while translating insights into value-based outcomes. Partner with technical and business leaders to align on objectives and champion mutual success plans that foster growth and retention. Account & Portfolio Management Own elements of the account plan that drive customer maturity and lifetime value, retention, and revenue realization. Proactively manage a portfolio of customers across various stages of the journey, creating and executing strategies to maximize value realization, advocac

About the Role MongoDB is looking for a Senior InfoSec Analyst to join our Computer Security Incident Response Team. You will detect, investigate, and respond to security events across our corporate and cloud environments. You'll act as a technical lead on incidents, mentor analysts, and work with Engineering, IT, Legal, and Privacy teams to reduce risk. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What You'll Do Lead investigations from triage through containment, scoping, remediation, and postmortem for security events Analyze logs, endpoint telemetry, and cloud and SaaS audit data to distinguish true positives from false positives and reconstruct attacker or user activity timelines Investigate credential and secret exposure, endpoint detections, phishing, data exposure, and policy violations such as unauthorized tool or AI usage Automate repetitive response work using scripting and APIs, including enrichment, ticketing, and notification workflows Maintain runbooks, playbooks, and severity and escalation standards Contribute to employee-facing security guidance and awareness Mentor junior analysts and help raise the team's investigative and communication standards What We're Looking For 5+ years in security operations, incident response, detection engineering, or a related field Hands-on experience leading incidents end to end, including clear stakeholder communication during and after an event Strong log analysis skills in a SIEM and fluency with EDR tools Working knowledge of cloud security (AWS, GCP, or Azure), identity and access management, and SaaS security Solid understanding of attacker techniques and frameworks such as MITRE ATT&CK Ability to prioritize and make sound decisions under ambiguity and time pressure Strong written communication, including incident reports and executive-ready summaries Nice to Have Experience integrating LLM or AI tooling into security workflows, or assessing AI-related risk

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform. You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted. This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority. What You'll Own Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it

We are seeking an experienced and results-oriented leader responsible for our UKI Customer Success team. In this role, you will manage managers and foster the growth and success of both our customers and team members. As the Director of Customer Success for the UKI, you will drive the recruitment, coaching, mentoring, and development within the region, empowering our high-touch Customer Success teams to deliver exceptional value to customers, hone their skills, and advance their careers. Beyond talent development, you will be responsible for designing and executing strategies to boost customer retention and satisfaction, identify expansion opportunities, and enhance customer adoption of MongoDB. Your role will involve close collaboration with senior leaders across the go-to-market (GTM) ecosystem, including Sales, Solution Architecture, Product, Professional Services, Marketing, HR/Recruiting, and Customer Support. We are looking to speak to candidates who are based in London for our hybrid working model. We’re looking for someone with: Bachelor's degree, technical degree preferred 7+ years people management experience 15+ years relevant experience and subject matter expertise in Customer Success, Account Management, Client Services, or similar customer-facing roles 10+ years experience working within or supporting large enterprises Experience leading leaders A passion for hiring, developing and retaining a team of managers; your team’s success is your top priority Experience setting org/geo-wide direction for customer success programs and allocating resources to drive operations in alignment with the strategy Track record of leading fast-growing teams and using data to drive initiatives and inform decision-making processes that impact long-term company operations and success Experience as a CS leader managing executive level internal and external stakeholder relationships; includes collaborating with, and influencing cross-functional executive stakeholders (S

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 200+ public data centers globally and thousands of private sites 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 Software Engineer to join our team. This is a Hybrid role, reporting to the Senior Manager, Software Engineering in the Exposure Management & Security Operations department. As a passionate engineer you will work with a team of cloud architects in building scalable, high performance backend applications for our cloud engineering org. You will play a pivotal role in enhancing our multitenant architecture and global footprint for the world’s largest cloud security platform. What you’ll do (Role Expectations) Implementing scalable, high-performance backend services and APIs Ensuring code quality by writing and maintaining unit, integration, and performance tests; monitor, debug, and optimize system performance Collaborating with cross-functional teams to deliver integrated solutions and contribute to Agile/Scrum processes like sprint planning and retrospectives Participating in on-call rotation

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 200+ public data centers globally and thousands of private sites 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 Software Development Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Senior Manager in the Engineering department. You’ll collaborate with a diverse team of engineers to design, build, and deliver an innovative zero-trust cybersecurity product as part of the world’s largest cloud security platform. You will bring your vision and passion to our team of experts who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. What you’ll do (Role Expectations) Partnering with Product Management to drive detailed product requirements Defining software design specifications and implementing bug free code using test driven methodology Looking for opportunities to refactor existing code in the interests of maintainability and reusability Collaborating closely with other cross functional engineering teams (security, UI,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Billing powers Elastic's Cloud business. It runs across AWS, GCP, and Azure in over 50 regions. We oversee usage-based metering, consumption billing, and marketplace integrations at global scale. The Billing Experience team owns the customer-facing layer of our billing systems. We build and maintain the public and internal APIs, as well as the billing and account pages within Elastic Cloud consoles. Our goal is to make it easy for customers and internal teams to understand and manage their billing data. We are looking for a Principal Software Engineer to drive technical direction within the Billing Experience domain. This is a hands-on role. You will design APIs, shape user-facing systems, and work across teams. You will help our billing services grow in scale, reliability, and developer productivity. You will work closely with Product, Design, SRE, and Cloud Infrastructure teams. What You Will Be Doing : Own complex billing and account management systems, including public APIs, internal APIs, and Cloud console experiences. Lead API design and evolution — set standards for contract stability, versioning, and developer experience across internal and external consumers. Build and improve full-stack features in Elastic Cloud consoles, from backend services to frontend billing and account UIs. Improve observability, i

About the Team DoorDash's MDX team sits within Machine Learning Platform and builds the shared foundation that ML engineers across DoorDash, Wolt, and Deliveroo rely on to build and run ML-powered products. We work across the full ML lifecycle: feature engineering, training, evaluation, deployment, serving, and monitoring. Our mission is to increase the velocity and reliability of ML-driven business impact across the company. A central pillar of that work is agentic infrastructure. We are building systems that let agents accelerate and operate the ML workflow itself, including auto research, where agents explore and iterate on modeling ideas, and self-healing systems that detect, diagnose, and remediate failures in ML pipelines and production models with minimal human intervention. About the Role You will join a small, high-leverage team building the agentic layer of DoorDash's ML infrastructure. You'll design and build the systems that let agents accelerate how ML engineers across DoorDash, Wolt, and Deliveroo develop, ship, and operate models. That includes auto research systems that explore and iterate on modeling ideas, and agentic developer support that helps ML engineers move through training, evaluation, deployment, and debugging faster. You'll own well-scoped components end to end, from design through production, working across agent orchestration, tooling and integrations with our ML platform, evaluation of agent behavior, and observability. This role is ideal for an engineer with a strong backend foundation who is excited to apply AI agents to real engineering workflows, learns quickly, and wants to grow into technical leadership in a fast-moving area where model capabilities, tooling, and best practices change month to month. You're excited about this opportunity because you will… Build agentic systems that increase the velocity of ML development across DoorDash, Wolt, and Deliveroo, helping ML engineers get from idea to production model faster. Design an

About the Team OpenAI’s Client Platform Engineering team builds and operates the platforms that make employee devices secure, reliable, and easy to use. Our work spans device posture and trust, onboarding, application delivery, operating-system updates, fleet telemetry, and employee-facing remediation. We partner with Security, IT, Research, Applied, and specialized engineering teams to reduce friction while protecting OpenAI’s systems and data. About the Role As a Client Platform Engineer , You will build and own agentic solutions that automate OAI fleet operations and reduce employee friction, with measurable outcomes and reliability. You will develop first-party software, integrate commercial and open-source tools, and own changes from design and testing through deployment and production operations. Your work will improve security, reliability, and the employee experience. We’re looking for people who are passionate about automation, endpoint security, and building scalable solutions that improve employee experience. You should have deep experience securing and managing Linux fleets at scale, with strong software engineering skills to automate security controls and fleet operations across environments with different compliance requirements. Your problem-solving mindset and attention to detail will be key to success in this role. In this role, you will: Build the platforms that help employees do their best work on devices they can trust. Own the design, development, deployment, and operation of secure Linux endpoint management systems across environments with different compliance requirements. Create magical employee experiences by building agentic workflows with OpenAI products and models that use fleet telemetry to anticipate issues, guide remediation, and design friction out of everyday work. Make new hires productive from day one, using OpenAI products to simplify device setup, software delivery, and onboarding support. Build secure, reliable workflows with sc

Use Your Power for Purpose At Pfizer, our purpose is to deliver breakthroughs that transform patients' lives. Central to this mission is our Research and Development team, which strives to convert advanced science and cutting-edge technologies into impactful therapies and vaccines. Whether you are engaged in discovery sciences, ensuring drug safety and efficacy, or supporting clinical trials, your role is crucial. You will leverage innovative design and process development capabilities to expedite the delivery of top-tier medicines to patients globally. Role Summary Pfizer’s Machine Learning and Computational Sciences (MLCS) group is seeking a Senior Machine Learning Scientist to lead independent and collaborative research in computational antibody design and optimization. This position focuses on developing and applying modern computational and machine-learning approaches to accelerate the discovery of next-generation biologic therapeutics. Positioned at the intersection of machine learning, protein science, and therapeutic discovery, the role is ideal for candidates eager to translate foundational AI research into real-world drug design. It offers the opportunity to join an innovative, collaborative environment that supports professional growth through mentorship, knowledge sharing, and the freedom to pursue impactful science. What You Will Achieve In this role, you will: Conduct original research in computational antibody engineering, with an emphasis on sequence- and structure-based generative modeling. Develop and deploy state-of-the-art machine-learning methods for multi-objective, constraint-aware antibody optimization that balances affinity, stability, and developability. Apply proprietary computational frameworks and machine-learning models to predict antibody developability and affinity. Leverage NGS-derived antibody repertoires to info