Application And Web Security Specialist Jobs

Opportunity Overview: The Cohere IT team administers systems with a holistic approach and is responsible for the study, design, development, implementation, support, and management of telecommunications and computer-based information systems and software. Providing support to our colleagues who utilize Cohere Health systems in their day-to-day responsibilities and operations is a key function of the IT team.It is our aim to ensure a friendly working environment while scaling solutions to provide secure and efficient technology to all Cohere employees. IT is the backbone of our business, the underlying structure that reinforces Cohere’s growth, and propels this world-class organization to perform at the highest levels.The Cohere IT team is currently seeking an Information Systems Specialist to be part of the day-to-day frontline that provides, supports, and maintains the availability of services and infrastructure within the company’s corporate environment.Desktop Support Technicians are responsible for learning, maintaining, and documenting information pertaining to systems, software, applications, and processes used across the organization. All internal support requests are their responsibility to respond to or escalate to Systems Administrators, as necessary.Last but not least: The ideal candidate will thrive in a fast-paced startup with the ability to wear many hats while prioritizing customer focus. People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles . We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. What you'll do: Work within Cohere’s established standards, procedures and guidelines in delivering service to staff Fulfill service requests in a highly customer-service oriented manner Monitor, respond to, and escalate service issues in a timely manner

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone What you’ll do As a Support Operations Associate at Privy, you will own the internal systems and workflows that keep our Developer Success team efficient, responsive, and focused. You’ll serve as air traffic control for support requests – triaging issues across our support stack (Pylon, Slack, HubSpot, and more), improving internal workflows, and maintaining CRM and support-data hygiene. You’ll partner closely with Account Management, Solutions Engineers, Forward Deployed Engineers, and Sales, while your day-to-day work will have impact across Privy, and Stripe as a whole. This is a high-leverage operations role where attention to detail, a systems mindset, and a bias for execution will make you critical to making our customers successful. Responsibilities Own triage and routing for inbound support tickets from both Privy developers and end users of Privy applications, ensuring issues are assigned, tracked, and resolved promptly and efficiently across the Developer Success team. Maintain data hygiene, consistency, and accuracy across our support stack, including Pylon, Slack, HubSpot, and other systems. Partner with cross-functional teams—including Sales, Engineering, and Product—to continuously improve the quality and efficiency of support processes. Create and maintain internal runbooks for ticket tri

We are looking for a Solutions Architect to help customers and partners in South East Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This is a highly technical role that requires deep expertise in VLM AI models and software engineering practices. We need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region. A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, training/workshops, troubleshooting, project coordination, industry and marketing speaking engagements, customer relationship management and more. What you'll be doing: Drive the adoption of NVIDIA's vision AI and video AI capabilities. Provide hands-on technical leadership to put VLM (Visual Language Models) and WFM (World Foundation Models) into applications for computer vision, document processing, and video analytics. Support solution development and technical validation around NVIDIA vision AI and video AI technologies Work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap input. Deliver demos, workshops, technical reviews, and partner enablement sessions that accelerate adoption of NVIDIA AI technologies. What we need to see: BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, or a related field, or equivalent experience. 5+ years of proven experience in computer vision, vision AI, video AI, or world foundation models. Hands-on experience in building and scaling production VLM and multi-modal AI systems. Strong Python ski

Position: Assistant Professor M.Pharm Department: Pharmacy Location: College Campus Key Responsibilities Deliver lectures and practical sessions for M.Pharm students in the relevant specialization. Prepare lesson plans, course materials, laboratory manuals, assignments, and assessments. Guide postgraduate students in research projects, dissertations, seminars, and publications. Conduct laboratory sessions and ensure the proper maintenance of laboratories and equipment. Evaluate student performance through assignments, practicals, internal assessments, and examinations. Participate in curriculum development, accreditation activities, and departmental administration. Promote research, innovation, grant applications, and collaboration with the pharmaceutical industry. Perform academic and administrative responsibilities assigned by the Head of Department. Eligibility Qualification: M.Pharm in the relevant specialization from a PCI/AICTE-recognized institution. Ph.D. is preferred as per applicable regulatory norms.

Job Role - Inside Sales Executive (Logistics) Company Name: Viami Logistics and Consulting LLP Apply Now: Phone: +91 7796365165 Email: Location: M 614, M Wing, 5th Floor, Mega Center, Pune - Solapur Rd, behind Noble Hospital, Magarpatta, North Hadapsar, Hadapsar, Pune, Maharashtra 411028 Job Summary: We are looking for an enthusiastic and customer-focused Inside Sales Executive to join our logistics team. The ideal candidate will be responsible for generating leads, converting inquiries into business, maintaining relationships with existing clients, and promoting the company's logistics and transportation services. The candidate should have excellent communication skills and a passion for achieving sales targets. Key Responsibilities: Generate new business opportunities through calls, emails, and online platforms. Contact prospective customers and explain the company's logistics services. Follow up on leads and convert inquiries into confirmed business. Build and maintain strong relationships with existing and potential clients. Prepare quotations and negotiate pricing within company guidelines. Coordinate with the operations team to ensure smooth service delivery. Maintain accurate customer records and sales reports. Handle customer inquiries, complaints, and provide timely solutions. Achieve monthly sales targets and contribute to business growth. Stay updated on market trends and competitor activities. Required Skills: Proficiency in MS Office and basic computer applications. Strong communication, negotiation, and interpersonal skills. Ability to work in a target-driven environment. Good organizational and time management skills. Basic customer handling and problem-solving sk Eligibility: Bachelor's degree in any discipline. 0 3 years of experience in inside sales, telecalling, customer service, or logistics sales. Freshers with excellent communication skills may also apply. Preferred Skills: Basic understanding of logistics, tra

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: The Revenue Data Engineering Teams designs, builds and runs the data pipelines and helper systems to accurately and in a timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release. The Revenue Data Processing team builds and operates the data pipelines that does billing, and cost attribution for all Datadog products. We process terabytes of data daily to power revenue-critical systems and are at the center of every new product launch at Datadog. As a Senior Software Engineer, you will own meaningful parts of a large-scale, mission-critical processing platform — driving architectural improvements, building new billing capabilities, and maintaining the high reliability bar our downstream consumers depend on. You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow

To lead the Generative AI engineering initiatives at Adani AI Labs, focusing on developing intelligent agents and sovereign cloud AI solutions. This role drives the architectural design, implementation, and scaling of Generative AI applications that optimize operations across Adani’s industrial sectors, aligning with the vision to deliver secure, scalable, and intelligent digital transformation. The Engineering Manager will oversee a team of backend engineers while remaining actively involved in technical execution. This is an exciting opportunity to lead mission-critical product engineering initiatives and build state-of-the-art AI-driven systems within a dynamic and innovative environment at Adani. Source: Adani Group | Job ID: 44640

About the Team The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications. About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world This role is based in our San Francisco HQ. In this role, you will: Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data Gather requirements, write instructions, define success criteria, and calibrate the AI trainers Use internal tooling to assess labeled data and provide feedback to AI trainers Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience You’ll thrive in this role if: You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat. You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission. You have a can-do a

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. You may be a good fit if you have: 5+ years of engineering experience running production infrastructure at a large scale Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters Experience with Kubernetes dev and production coding and support Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving Experienc

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for a Site Reliability Engineer to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. As a Site Reliability Engineer you will: Build self-service systems that automate managing, deploying and operating services. This includes our custom Kubernetes operators that support language model deployments. Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems. Take steps required to ensure we hit defined SLOs, including pa

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by leading the design of high-performance, scalable and reliable machine learning systems? Do you want to set technical direction and help shape the next generation of AI platforms powering advanced NLP applications? We are looking for a Lead Member of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments. You will serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs, and mentoring engineers to raise the technical bar across the team. You may be a good fit if you have: 8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership Demonstrated experience leading the architecture

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: Join a team that builds robust, real-time distributed systems for a cutting-edge database. We care about performance, reliability, scalability, and most of all learning and having fun together. Whether you’re a seasoned coder or just getting started, if you’re passionate about technology and eager to learn, you’ll fit right in. Who we are: We show up to work, ready to collaborate and build technologies that make a difference, with people who genuinely care. We chase improvements such as tail latencies, bytes throughput, cache hit rate, and operational cost efficiency. We believe learning is ongoing and that even the most complex problems can have simple solutions. What You’ll Do: Collaborate with teammates to design and build database features that power AI applications. Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you). Help Pinecone run smoothly on popular cloud providers. Take ownership of your work and grow your skills every day. Have fun. Who You Are: 5+ years of work experience - programming in Rust, Go, C++, or a comparable language. You’re genuinely curious about distributed systems and eager to dive deep into technical challenges. You approach problems with creativity and persistence, and you’re comfortable asking thoughtful questions or seeking feedback. You’re excited to learn, value constructive feedback, and appreciate mentorship. Bonus Points: You have hands-on experience with cloud platforms (AWS, GCP, Azure) or have demonstrated an ability to pick u

MongoDB seeks an experienced Senior Software Engineer to help level up IT and play a key role in building a new engineering team. This team works alongside the Internal Engineering department to build enterprise-grade software that enables coworkers to be more effective and efficient. As a Senior Software Engineer, you’ll take ownership of critical internal tools and platforms, drive technical decisions, and contribute at a high level to systems that support essential workflows across the organization. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations: Own the implementation and long-term maintenance of internal tools and platforms Lead technical design discussions and contribute to architectural decisions Write high-quality, maintainable code while setting a strong engineering example for the team Identify and proactively address technical debt, reliability risks, and scalability concerns Collaborate with engineers, product partners, and other stakeholders to prioritize and deliver high-impact work Success Measures: In three months, demonstrate strong ownership of one or more internal systems and contribute significantly to ongoing initiatives In three months, independently deliver meaningful improvements that reduce manual effort or operational friction In six months, have driven technical improvements or new tooling that measurably improves internal engineering efficiency, reliability, or velocity Our ideal candidate: Has 6+ years of professional software engineering experience Deep experience with at least one modern programming language (Python, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable working with modern infrastructure and delivery systems, including containerized applications, Kubernetes, and CI/CD tooling (e.g., Drone.io or simil

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir is at the forefront of some of the most critical and challenging problems in the world. We develop alongside our customers everyday. Our customers span from the cloud to the frontline. As we adapt to solve their most pressing issues in latency, performance, and compute cost, we are building a team of software engineers relentlessly focused on low-level optimization and novel compute architectures. This is a team of developers creating software for the far-edge, including streaming ETL pipelines, inference platforms, and various timing critical applications. This role requires an experienced software engineer who is well versed in low-level development in compiled, native languages such as Rust and C/C++. A successful candidate can optimize software for constrained embedded devices or across large-scale distributed systems. You should have strong knowledge of computer architecture and OS internals.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We're looking for an Information Security Engineer who can think broadly about how infrastructure is built, attacked, defended, and improved. You may have deep experience in one area—such as endpoint security, Active Directory, Data Loss Prevention, cloud security, identity, or detection and response—but you’re motivated by solving security problems across the environment. As an Information Security Engineer focused on infrastructure security, you'll help protect Palantir's global endpoints, servers, identity systems, applications, networks, and data flows. You'll work across teams to reduce attack surface, improve defensive controls, investigate security events, and turn security findings into durable architectural and operational improvements. This is not just a corporate security role; the adversaries we face are sophisticated. We need someone who understands both the details and the broader system: how a weakness in one part of the environment can create risk somewhere else, how controls interact, and how to build security improvements that hold up in practice.