Technical Applications Specialist Jobs

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity Are you ready to step into a pivotal leadership role where your engineering depth directly shapes the future of our core platform? As our new Engineering Manager, you will lead a talented, distributed team across US and EU time zones, acting as the critical manager bridging regional collaboration. Our Cloud Foundation team is the backbone of the New Relic platform. In this role, you won't just manage tasks; you will mentor and empower engineers, transitioning our operational framework from a reactive state to a culture of proactive ownership and engineering excellence. You will oversee critical global initiatives, including major regional expansions into FedRAMP High / IL4, India, and Australia. If you thrive on solving complex multi-cloud challenges at an exabyte scale while helping engineers grow in their careers, this is your opportunity to make a lasting impact. What you'll do Empower & Mentor: Lead and nurture a high-performing engineering team across the US and EU, facilitating career development, performance growth, and a collaborative team culture. Drive Strategic Ownership: Champion a shift from reactive delivery to proactive technical ownership, establishing best practices for platform reliability and cross-regional alignment. Lead Regional Expansions: Architect and execute key global infrastructure expansions across complex environments (including FedRAMP High / IL4, India, and Australia). Architect for Extreme Scale: Guide decisions around micr

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. Drive customer impact by designing, implementin

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Develop infrastructure components for our ML inference platform using Python and Go Implement and maintain Kubernetes deployments for model serving Contribute to our inference orchestration layer for model deployments Build and enhance monitoring systems for model performance metrics Implement efficient resource management solutions for ML workloads Support infrastructure automation to improve ML deployment workflows Work closely with team members to implement technical solutions Help balance performance optimization with system reliability Participate in technical discussions around infrastructure improvements Learn and apply infrastructure best practices REQUIREMENTS Bachelor's degree or higher in Computer Science or related field Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus Working knowledge of Kubernetes and containeriza

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POC’s through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Leadership Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. Set clear goals and ensure timely, high-quality d

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. Drive customer impact by designing, implementin

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role Anyscale is looking for an experienced and hands-on engineering leader to lead our Customer Engineering team. This is a critical leadership role within our Go-To-Market organization, responsible for delivering exceptional technical support while helping ensure customer experiences directly influence the evolution of our platform. You will lead a highly technical team responsible for supporting customers running production AI workloads on Anyscale. Your team will resolve complex technical issues, manage customer escalations, and partner closely with Product and Engineering to ensure customer feedback is translated into meaningful product improvements. Success in this role requires balancing operational excellence with strong technical leadership. Beyond resolving individual customer issues, you will help the team identify recurring patterns, improve support workflows, expand customer self-service, and leverage automation, diagnostics, and engineering best practices to improve both the customer experience and the product over time. As opportunities arise, your team may also contribute tooling, documentation, automation, or occasional product fixes that help eliminate recurring sources of customer fri

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale is seeking a Staff Software Engineer to lead the technical vision for our Infrastructure team. As a Staff Engineer, you will be responsible for the architectural evolution of our control plane and data plane, ensuring that our "infinite laptop" vision scales to meet the most demanding distributed AI workloads in the world. You will act as a force multiplier, setting the standards for Kubernetes-based cloud-native infrastructure while mentoring engineers and driving cross-functional alignment across the Ray open-source community and our proprietary product teams. Key Responsibilities Architectural Leadership: Define and drive the multi-year technical roadmap for services that orchestrate Ray clusters across diverse cloud and on-premises environments. Systemic Optimization: Lead the design and optimization of high-performance control plane components specifically tailored for large-scale, heterogeneous AI/ML workloads. Platform Reliability: Establish the organization-wide standards for the reliability, scalability, and observability of Anyscale-managed infrastructure. Strategic Integration: Direct the long-term strategy for accelerator integration (GPUs, TPUs) and container management to ens

About Anyscale At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role The Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption. Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space. In this role, you’ll be able to Resolve customer issues and help in their successful adoption of Anyscale platform Be a technical advisor, and internal champion for our key customers Own customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolution Participate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets Keep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution Contribute towards improvement of internal tools an

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: As a Forward Deployed Engineer at Anyscale, you will partner directly with our most strategic customers, including Spanish-speaking customers across Latin America and other regions, to ensure they achieve meaningful business outcomes with Ray and the Anyscale platform. Embedded within customer teams, you’ll act as a trusted advisor, aligning technical solutions with customer priorities, accelerating time-to-value, and driving adoption at scale. You’ll work across customer organizations — from technical leadership to individual contributors — to scope and deliver impactful solutions. By connecting insights from the field back to our product and engineering teams, you’ll help shape Anyscale’s roadmap and ensure we remain focused on solving our customers’ most critical challenges. In this role, you will: Work onsite with key customers to lead proof-of-value engagements, deployments, and enterprise adoption Translate business objectives into technical solutions that demonstrate clear ROI and strategic impact Build and deliver high-impact demos, reference architectures, and enablement programs tailored to customer needs Act as a trusted advisor across all levels of the organization, ensuring confidence in Anyscale and

Anyscale Platform Engineering Leader About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Anyscale is looking for an experienced Engineering leader to lead our Infrastructure, SRE and Enterprise Governance Engineering teams. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud using Ray - the popular open source platform used by companies like Netflix, Uber, Instacart and others - seamless. In this position, you will guide the vision, technical direction of the team, and recruit, enable a high-performing engineering team that delivers critical values to developers and Anyscale customers by solving complex distributed systems challenges. You will oversee and drive the strategy and execution of components which includes cluster launcher, cloud providers (AWS/GCP/Azure/etc.), Kubernetes support, cluster autoscaling, control plane, data plane, reliability, billing stack, production database and related components. You will closely work with our customers and our field engineering team to solve their problems, understand their challenges and make sure they are successful. We'd love to hear from you if you have: Solid engineering management experience leading produ

About the Role & Team We’re looking for an Engineering Manager to lead the Delivery and SDK team within Statsig at Amplitude. This team builds the systems that connect developers to Statsig and safely deliver product experiences to end users around the world. The team owns two foundational areas: Delivery: The globally distributed systems that evaluate Experiments and Feature Gates and deliver the resulting experiences to end users. These systems sit directly in the critical path of our customers’ applications, making availability, scale, correctness, and latency essential. SDKs: More than 30 SDKs spanning web, mobile, server, edge, TV, gaming, and emerging platforms. Our goal is to meet developers wherever they build and give them an ergonomic, reliable way to integrate Statsig into any application or technology stack. This is a uniquely broad technical leadership role. You’ll work across distributed systems, mobile platforms, server runtimes, edge environments, and developer tooling—sometimes all in the same week. We’re looking for a hands-on, technically versatile leader who enjoys moving between technologies, learning unfamiliar systems, and solving problems across abstraction boundaries. You don’t need to be the world’s foremost expert in a single language or platform. You do need the curiosity and technical judgment to work effectively across many of them—and the ability to build a team that can make a complex, polyglot ecosystem feel simple and dependable to developers. What You’ll Do Lead and grow the team responsible for Statsig’s global delivery infrastructure and ecosystem of 30+ SDKs. Experience leading a team of 8-10 team members Define the technical strategy for highly available, low-latency evaluation and delivery systems operating at global scale. Make Statsig exceptionally easy to adopt by continuously improving SDK ergonomics, performance, reliability, consistency, and documentation. Expand our SDK coverage as new languages, frameworks, runtime

About the Role & Team We’re looking for an Engineering Manager to lead the Delivery and SDK team within Statsig at Amplitude. This team builds the systems that connect developers to Statsig and safely deliver product experiences to end users around the world. The team owns two foundational areas: Delivery: The globally distributed systems that evaluate Experiments and Feature Gates and deliver the resulting experiences to end users. These systems sit directly in the critical path of our customers’ applications, making availability, scale, correctness, and latency essential. SDKs: More than 30 SDKs spanning web, mobile, server, edge, TV, gaming, and emerging platforms. Our goal is to meet developers wherever they build and give them an ergonomic, reliable way to integrate Statsig into any application or technology stack. This is a uniquely broad technical leadership role. You’ll work across distributed systems, mobile platforms, server runtimes, edge environments, and developer tooling—sometimes all in the same week. We’re looking for a hands-on, technically versatile leader who enjoys moving between technologies, learning unfamiliar systems, and solving problems across abstraction boundaries. You don’t need to be the world’s foremost expert in a single language or platform. You do need the curiosity and technical judgment to work effectively across many of them—and the ability to build a team that can make a complex, polyglot ecosystem feel simple and dependable to developers. What You’ll Do Lead and grow the team responsible for Statsig’s global delivery infrastructure and ecosystem of 30+ SDKs. Leading a team of 8-10 team members Define the technical strategy for highly available, low-latency evaluation and delivery systems operating at global scale. Make Statsig exceptionally easy to adopt by continuously improving SDK ergonomics, performance, reliability, consistency, and documentation. Expand our SDK coverage as new languages, frameworks, runtimes, and comp

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that completely transform how our go-to-market teams operate and win. You'll embed with Sales, Customer Success, and Revenue Operations to build novel applications and platforms that accelerate pipeline generation, improve win rates, and scale how Vanta engages customers. You will also own end-to-end outcomes, move quickly from concept to production, and directly shape how customers experience Vanta in the field. This role is ideal for AI-pilled builders who want to be close to users, solve complex business problems with elegant technical solutions, and define entirely new categories of enterprise software. Vanta's GTM Engineering team operates as an internal incubator: applying AI at scale to revolutionize customer engagement. We build high-impact tools that reshape conversations, learn from every customer interaction, and demonstrate the value of our platform in real-world scenarios. This team sits at the intersection of engineering and GTM, shipping solutions that range from rapid prototypes to production-grade systems. What you'll do as a Senior AI GTM Engineer at Vanta: Ideate and build products that transform how Vanta generates new business, interfaces with prospects and customers, and grows existing customer relationships Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems Partner closely with Vanta’s CRO and executive leadership teams to architect and execute plans that bring Vanta to the forefront of GTM orgs lev

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's defense product vertical builds mission-critical products for the modern warfighter. We provide a complete ecosystem where customers can securely integrate and visualize their data, and build sophisticated, full-fledged programs such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. Our customers use our defense offering to perform rich analyses that drive core operations within their organizations - these programs are relied upon for daily operations in the command centers and battlefronts of militaries across the world. This is a frontend engineering role focused on application development for our defense product offering, where you will be responsible for crafting the applications that organizations use every day to keep their countries safe. You will be architecting and developing interfaces to make sophisticated, data-intensive workflows both powerful and approachable, including to non-technical users. You may spend one day talking to users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself putting that customer context to use and brainstorming how to handle intricate UX needs with your teammates. You’ll regularly face sophisticated technical problems, requiring you to scope out the solution design and finding an incremental path to shipping the new features. As part of this, you will own APIs and schemas that power your frontend code, and work with backend engineers in developing them together. You’ll be constantly exploring new horizons and building new skills in service of real world needs: between type theor