In this role, you will play a pivotal part in building and enhancing Equity Volatility Risk and P&L system that supports our Equity Volatility Managers.

This is an exciting opportunity to work in a fast-paced hedge fund environment, where your contributions will directly impact trading performance and risk management capabilities.

The ideal candidate will bring a combination of technical expertise and business domain knowledge for developing robust, scalable systems.

Principal Responsibilities:

• Design, develop, and implement a robust risk system for Equity Volatility trading strategies.
• Build and maintain scalable, high-performance server-side application using Java and Spring Boot frameworks.
• Build and integrate exotic pricing models to handle pricing and lifecycle of the product.
• Provide level-3 support, troubleshooting, and performance tuning for production systems.
• Proactively address system bottlenecks and implement solutions to ensure the platform remains robust.
• Conduct code reviews and implement automated testing to ensure the reliability and quality of the system.
• Write clean, maintainable, and testable code, adhering to best practices in software engineering.

Qualifications/Skills Required:

• Proficiency in Java development with experience in building scalable, high-performance systems.
• Strong knowledge of Spring Boot and its ecosystem for developing microservices.
• Experience with Python for scripting and automation.
• Experience in distributed caching technologies (e.g. Ignite, or similar).
• Familiarity with containerization technologies (e.g. Podman, Kubernetes) and cloud computing platforms (e.g. AWS).
• Solid understanding of software development best practices, including version control (e.g. Git), CI/CD pipelines, and automated testing frameworks.
• Previous experience working with Equity Derivatives in a sell-side or buy-side firm.
• Strong understanding of equity derivative products such as options and futures.
• Some understanding of structured products in terms of pricing, lifecycle, and risk characteristics.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, high-pressure environment.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

XML job scraping automation by YubHub

This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

XML job scraping automation by YubHub

This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximise impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Responsibilities:

• Design and develop scalable software applications leveraging generative AI models.
• Rapidly prototype new features and iterate based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Optimise software performance and ensure reliability of deployed applications.
• Contribute to the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.

Requirements:

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 8 years of experience in software development with one or more programming languages (e.g., Python) and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimising ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in areas such as media generation or reinforcement learning.

Preferred Qualifications:

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front end development.
• Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximise impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

A strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills are required.

We are looking for a TLM who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success.

Responsibilities:

• Lead a team in the design and development of scalable software applications leveraging generative AI models.
• Guide the team in rapidly developing new features and iterating based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimisation of software performance and ensure the reliability of deployed applications.
• Champion the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.
• Mentor and develop team members, fostering a collaborative and high-performing environment.
• Partner with PM team to qualify & size new project opportunities.

Minimum qualifications:

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.).
• 7+ years of experience leading technical projects and optimising ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.

Preferred qualifications:

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front-end development.
• Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience evaluating model performance, analysing results, and implementing improvements.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

XML job scraping automation by YubHub

This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximise impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

This role requires a strong software engineering foundation and a passion for building and iterating on software products, using state-of-the-art GenAI tools.

We are looking for engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code.

Experience in prototyping, building, and scaling software is essential.

We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.

Responsibilities:

• Design and develop scalable software applications leveraging generative AI models.

• Rapidly prototype new features and iterate based on evaluation results.

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Optimise software performance and ensure reliability of deployed applications.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Lead the architecture and development of new products & features from 0 to 1.

Minimum qualifications:

• A bachelor degree in computer science, electrical engineering or equivalent experience.

• 8 years of experience in software development with one or more programming languages (e.g., Python) and with data structures/algorithms.

• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

• 5 years of experience leading ML design and optimising ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in areas such as media generation or reinforcement learning.

Preferred qualifications:

• Experience with generative AI models and applications.

• Contributions to open-source projects.

• Experience with front end development.

• Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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As a Solutions Architect, you will engage directly with developers, researchers, and data scientists with some of NVIDIA’s most strategic technology customers as well as work directly with business and engineering teams on product strategy.

Key Responsibilities:

• Help cloud customers craft, deploy, and maintain scalable, GPU-accelerated inference pipelines on cloud ML services and Kubernetes for large language models (LLMs) and generative AI workloads.
• Enhance performance tuning using TensorRT/TensorRT-LLM, vLLM, Dynamo, and Triton Inference Server to improve GPU utilization and model efficiency.
• Collaborate with multi-functional teams (engineering, product) and offer technical mentorship to cloud customers implementing AI inference at scale.
• Build custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technology
• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues

Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
• 3+ Years in Solutions Architecture with a proven track record of moving AI inference from POC to production in cloud computing environments including AWS, GCP, or Azure
• 3+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
• Excellent knowledge of the theory and practice of LLM and DL inference
• Strong fundamentals in programming, optimizations, and software design, especially in Python
• Experience with containerization and orchestration technologies like Docker and Kubernetes, monitoring, and observability solutions for AI deployments
• Knowledge of Inference technologies - NVIDIA NIM, TensorRT-LLM, Dynamo, Triton Inference Server, vLLM, etc
• Proficiency in problem-solving and debugging skills in GPU environments
• Excellent presentation, communication and collaboration skills

Nice to Have:

• AWS, GCP or Azure Professional Solution Architect Certification.
• Experience optimizing and deploying large MoE LLMs at scale
• Active contributions to open-source AI inference projects (e.g., vLLM, TensorRT-LLM Dynamo, SGLang, Triton or similar)
• Experience with Multi-GPU Multi-node Inference technologies like Tensor Parallelism/Expert Parallelism, Disaggregated Serving, LWS, MPI, EFA/Infiniband, NVLink/PCIe, etc
• Experience in developing and integrating monitoring and alerting solutions using Prometheus, Grafana, and NVIDIA DCGM and GPU performance Analysis and tools like NVIDIA Nsight Systems

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You will be part of the DevOps team at Helpshift, responsible for creating, maintaining, scaling, and securing infrastructure used by many teams for critical workloads. The team works in various areas, including production and development infrastructure provisioning and maintenance, database infrastructure, automations, core infrastructure, security and compliance, and engineering processes.

Responsibilities:

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Own Helpshift production services and ensure complete monitoring coverage, troubleshoot, and fix production issues.
• Build a seamless zero-downtime process to upgrade our core infrastructure (ScyllaDB, Elasticsearch, Kafka, MongoDB, Redis).
• Collaborate with development and operations teams to integrate security practices into the software development lifecycle.
• Conduct regular security assessments, vulnerability scans, and penetration testing to identify and mitigate security risks.
• Develop and maintain infrastructure as code (IaC) templates for provisioning and configuring cloud resources securely.
• Monitor and respond to production incidents, including investigation, containment, and remediation activities.
• Stay up-to-date with the latest security threats, vulnerabilities, and best practices, and make recommendations for continuous improvement.

Requirements:

• Relevant experience of 5+ years and above.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Experience in designing and building solutions that are highly scalable, fault-tolerant, and cost-effective.
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with IaaC tools like Ansible, Puppet, and Terraform.
• Experience with cloud computing platforms like Amazon AWS, Google Cloud Platform, and Heroku.
• Experience with managing NoSQL and RDBMS.
• Experience with queuing systems (Kafka, RabbitMQ) and Big data platforms (Hadoop).
• Good programming skills with a focus on scripting (Python, Shell, Perl).
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues.
• Have an automation mindset and the ability to reason and work with complex systems.
• Excellent communication and documentation skills.
• Quick learner and good mentor for junior team members.

Benefits:

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

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You'll play a key role in supporting and managing the sales process from a technical and onboarding perspective within our Sales & Business Development team. Your primary responsibilities will include:

Pre-Sales & Solution Engineering

• Provide technical support throughout the sales cycle, including discovery sessions, product demonstrations, proof of concepts, and trial environments.
• Lead responses to RFPs, RFIs, and RFQs, and deliver compelling technical presentations tailored to customer needs.
• Assist customers with SDK implementations and showcase Helpshift's capabilities through demo applications and custom use cases.

Implementation & Onboarding

• Manage the technical onboarding process end-to-end—from trial setup to go-live—ensuring a seamless and successful customer experience.
• Collaborate with the Adoption and Professional Services teams to design customized workflows and integrations.
• Monitor implementation KPIs to drive early value realization and reduce time-to-productivity for customers.

Customer Success & Enablement

• Maintain high levels of customer satisfaction by managing expectations, addressing technical concerns, and ensuring smooth deployments.
• Act as a product expert in Helpshift's administrative and AI tool suite, including bots and automation features critical to customer support operations.
• Work cross-functionally with Account Management, Operations, and Customer Success to ensure a unified customer journey and maximize retention.

Content & Process Optimization

• Create and maintain internal and external technical documentation, sales enablement materials, and best practices specifically tailored for the Japanese market.
• Identify and implement process improvements in the technical sales cycle that reduce friction and shorten sales timelines.
• Contribute to training programs, knowledge bases, and documentation that enhance internal team efficiency and customer education.

Requirements

• 5+ years of experience in technical sales, product management, implementation, or technical account management roles, preferably in the SaaS, mobile app, or cloud technology space
• Strong understanding of SDKs, APIs, and modern cloud computing platforms
• Demonstrated experience managing the end-to-end onboarding process—from discovery to go-live—with both enterprise and SMB clients
• Bachelor's degree in Computer Science, Information Systems, or a related technical field (or equivalent experience)
• Hands-on implementation experience, with a focus on CRM platforms, user experience (UX) design, and customer-facing applications
• Excellent written and verbal communication skills in both Japanese and English, with the ability to communicate technical concepts to varied audiences
• Comfortable responding to RFPs, RFIs, and RFQs, and delivering client-facing technical presentations
• Experience working in cross-functional teams, collaborating with sales, customer success, and product teams to drive customer outcomes
• Strong documentation and process optimization skills, with the ability to develop best practices and technical sales materials for both internal and external use
• Proficiency in tools such as Google Workspace, Salesforce, Microsoft Outlook, Word, Excel, and PowerPoint
• Willingness to travel within Japan to support client engagements and on-site implementations

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We are looking for a Software Engineer – Developer Productivity to help improve the productivity of the entire engineering team. You will be responsible for everything from our build and testing automation, to the packaging and release of the final product.

Responsibilities

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Integrate security into the release workflow and ensure that all CI-CD tools are compliant from a security perspective.
• Understand developer workflows and build systems to improve build times.
• Partner with other engineering teams and develop scalable tools and infrastructure to develop, test, debug, and release software quickly.
• Design, develop, and deliver distributed engineering build tools and platforms for a variety of codebase languages.
• Help maintain the backend infrastructure that supports our Dev test environments.
• Develop and improve instrumentation for monitoring and logging the health and availability of services.
• Follow best practices for development.
• Participate in code and system design reviews.

Requirements

• 5+ years of software development experience.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Knowledge of implementing security in CI/CD pipelines.
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with Cloud Computing platforms like Amazon AWS, Google Cloud Platform, Heroku.
• Experience with IaaC tools like Ansible, Puppet, Terraform.
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues.
• Have an automation mindset and ability to reason and work with complex systems.
• Excellent communication and documentation skills

Good to Have

• Familiarity with building and writing in one of the following languages: Python, Shell, Java, Clojure.
• Familiarity with either of IntelliJ, VSCode, Emacs IDE and can help developers with their IDEs.
• Familiarity with the challenges of testing.
• Comfortable using CLI tools for achieving day-to-day tasks.
• Systematic problem-solving approach, coupled with excellent communication skills and a sense of ownership and drive.
• Drive task to the finish line with high quality and on time.
• Experience in designing and building solutions that are highly scalable, fault-tolerant, and cost-effective.

Benefits

• Hybrid setup.
• Worker's insurance.
• Paid Time Offs.
• Other employee benefits to be discussed by our Talent Acquisition team in India.

Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status.

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We are seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will play a pivotal role in ensuring the security, scalability, and reliability of our infrastructure and applications.

Responsibilities:

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Own Helpshift production services and ensure complete monitoring coverage, troubleshoot and fix production issues.
• Build a seamless zero-downtime process to upgrade our core infrastructure (ScyllaDB, Elasticsearch, Kafka, MongoDB, Redis).
• Collaborate with development and operations teams to integrate security practices into the software development lifecycle.
• Conduct regular security assessments, vulnerability scans, and penetration testing to identify and mitigate security risks.
• Develop and maintain infrastructure as code (IaC) templates for provisioning and configuring cloud resources securely.
• Monitor and respond to production incidents, including investigation, containment, and remediation activities.
• Stay up-to-date with the latest security threats, vulnerabilities, and best practices, and make recommendations for continuous improvement.

Requirements:

• Relevant experience of 5+ years and above.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Experience in Designing and building solutions that are highly scalable, fault tolerant and cost-effective.
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with IaaC tools like Ansible, Puppet, Terraform.
• Experience with Cloud Computing platforms like Amazon AWS, Google Cloud Platform, Heroku.
• Experience with managing NoSQL and RDBMS.
• Experience with queuing systems (Kafka, RabbitMQ) and Big data platforms (Hadoop).
• Good programming skills with focus on scripting (Python, Shell, Perl).
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues.
• Have an automation mindset and ability to reason and work with complex systems.
• Excellent communication and documentation skills.
• Quick learner and good mentor for junior team members

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