Production Associate Jobs

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 Forward Deployed Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, primarily across on-prem environments for the US Government. Forward Deployed Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You’ll travel to various locations where you will be the expert for Palantir’s infrastructure, helping partner teams build & configure their hardware and network for software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team GoDaddy's Global Storage Engineering team operates one of the largest Ceph environments in the world, delivering the object, block, and file storage platforms that power GoDaddy's hosting infrastructure, internal services, OpenStack environments, and next-generation AI/HPC workloads. If you're passionate about distributed systems, storage architecture, and solving failure scenarios at massive scale, this is an opportunity to work on infrastructure few engineers will experience in their careers. Ceph is a strategic platform at GoDaddy — not an ancillary service. Our global footprint includes 80+ production clusters, 20,000+ OSDs, 1,830 storage nodes, 300 PB of raw capacity, and 69 billion objects spanning five datacenters across three continents. The platform supports RBD, RGW (S3/Swift), and CephFS workloads through more than 1,550 pools, 574,000 placement groups, and 900+ MDS daemons, creating engineering challenges that demand deep expertise in storage architecture, data durability, performance optimization, automation, and observability. As a Lead Senior Site Reliability Engineer, you'll serve as one of the principal technical leaders for GoDaddy's Ceph platform. You'll design the next generation of storage clusters, lead major platform upgrades, drive capacity and hardware strategy, and establish the standards that govern how the platform scales. You'll be the engineer the team turns to for the most complex s

Location Details: Remote, Canada - British Columbia or Ontario At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team We are seeking a highly creative and technically skilled Senior Motion Designer to join our creative team. In this role, you will bring static designs to life, bridging the gap between graphic design, animation, and video production. You will create high-quality motion graphics, kinetic typography, and character animations for a variety of digital platforms, including product launches, web interfaces, and brand campaigns. The ideal candidate has a strong eye for detail, composition, and pacing, and is able to translate complex ideas into visually compelling and fluid animations. This role also requires strong design skills and the ability to execute crafted designs that support motion and video projects. What you'll get to do... Collaborate with art directors, copywriters, team members, and cross-functional design partners to develop visual concepts and ensure assets are optimized for various platforms. Translate abstract ideas and scripts into style frames and storyboards, establishing the visual pacing, tone, and direction of projects before production. Create 2D (and occasionally 3D) animations, kinetic typography, visual effects (VFX), and dynamic scenes using vector illustrations, photographs, and text assets. Integrate audio, music, and voiceover with visual elements to build cohesive final deliverables. Ensure motion assets align with brand guidelines, maintain organized project files, and incorporate creative direction, client feedback, and peer feedback into iterative design improvements. Y

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team Our Global Sustaining Engineering team sits at the intersection of software engineering and infrastructure, ensuring the services our customers depend on are fast, resilient, and always available. As a Senior Site Reliability Engineer, you'll take direct ownership of production services — from initial design through day-to-day operation — while partnering with product, engineering, and security teams to build and maintain business-critical systems. In this role, you will deepen your technical expertise and grow your leadership presence by mentoring the next generation of SREs. You will also gain hands-on experience with intelligent tooling in real-world workflows. What you'll get to do... Design, implement, and operate scalable, highly available production services while diagnosing and resolving complex infrastructure, network, and application issues Build and maintain alerting pipelines, dashboards, and SLO-driven monitoring strategies using Icinga, Prometheus, and Grafana Lead incident response end-to-end — performing root-cause analysis, authoring blameless post-mortems, and driving corrective actions to closure Develop and extend Infrastructure as Code coverage and build internal tooling that eliminates manual, repetitive operational work Mentor SRE I and SRE II engineers through code reviews, debugging sessions, and knowledge-sharing talks Apply LLM-driven log analysis, anomaly detection, and generative AI tools to accelerate incident response and runbook creation — validating all outputs before use Your experien

We are looking for a Lead, Data Development, AI Platform to lead the team building and operating the technical platform behind Hootsuite's Analytics MCP. This includes routing infrastructure, orchestration services, agent infrastructure, and data pipelines that enable reliable AI-driven analysis at scale. You will set technical direction for the team, strengthen engineering practices, and translate target architecture and integration standards into secure, production-grade systems that Data Analytics & AI teams can confidently build on. This is a hands-on technical leadership role. You will stay close to the code while owning delivery outcomes, engineering quality, and the team's culture of craft and accountability. You will develop strong, well-reasoned recommendations on how the platform and orchestration architecture should evolve, seek approval at the Senior Manager and Director level, and then guide the team through disciplined execution. You will also partner closely with AI Context & Integration and AI Data Architecture to ensure the platform, context layer, semantic layer, and downstream agent workflows operate as one coherent system. WHAT YOU’LL DO: Lead the design and delivery of the orchestration layer that connects the Analytics MCP platform across its most complex surfaces, including query execution across schemas and models, federated data access between the data warehouse and external source systems, and multi-step agent workflows for cross-functional business processes. Develop clear technical recommendations for platform and orchestration architecture evolution, align those recommendations with Senior Manager and Director-level direction, and guide the team through disciplined execution within the approved architecture. Own the operational reliability, scalability, quality, and observability standards for core Analytics MCP components, including routing and agent infrastructure. Guide the team to build and operate these systems to prod

We’re looking for an Intermediate Software Developer, Backend who can help us support the development organization to deliver value to customers in a reliable, efficient, and safe manner. You’ll be working in a focused team that owns one piece of the production application environment and the developer experience, you will execute on defined projects to achieve team-level goals. In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for a hybrid model. This role is open to applicants located in Bucharest, Romania. WHAT YOU’LL DO: Write software - tools, libraries, automation, services Design and build our infrastructure platform Identify and implement new platform features Research and evaluate new technologies Refactor, rewrite or retire existing platform features Operate our developer experience and production application environments Diagnose and repair our distributed systems Perform maintenance, upgrades and migrations Control or eliminate repetitive tasks, alert noise, and business-as-usual work Enable development teams Provide executable interfaces to our infrastructure platform Provide tools and best practices to support the entire software development lifecycle Participate in a flexible on-call rotation Communicate by writing documentation, participating in meetings, and showing off your work at demos WHAT YOU’LL NEED: A degree in Computer Science or Engineering or equivalent experience working in a software engineering role An ability to write software and working knowledge of software engineering practice (Java programming language and strong working knowledge of object-oriented programming concepts) Proven experience creating stable, reliable, performing and maintainable code Familiarity with data modeling and schema design Knowledge of data structures and algorithms Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarification

ROLE DESCRIPTION: We’re looking for a Senior Platform Backend Developer who can help us support the development organization to deliver value to customers in a reliable, efficient, and safe manner. You’ll be working in a focused team that owns one or more pieces of the production application environment and the developer experience, you will own and deliver in service of quarterly goals on the team. ABOUT THE TEAM: This role is within our Backend Platform team. The team primarily uses Go, Scala, and PHP and has expertise in technologies such as Kafka, various AWS services, and some infrastructure-as-code tools. Your primary focus will be on developing services and tools for our product development teams as well as modernizing our existing platform. Based out of British Columbia, you will report to the Senior Manager, Software Development, DevOps. WHAT YOU’LL DO: Design and build software - tools, libraries, automation, services, and glue scripts Responsible for the reliability, security, and integrity of our large, cloud-based platform Participate in a flexible on-call rotation Lead by owning project milestones, epics or features Practice continuous improvement, contributing to culture, process, and direction in your team and across our department Develop processes and automation to eliminate repetitive tasks Design and build our infrastructure platform Identify and implement new platform features Research and evaluate new technologies Refactor, rewrite or retire existing platform features Operate our developer experience and production application environments Diagnose and repair our distributed systems Perform maintenance, upgrades, and migrations Control or eliminate repetitive tasks, alert noise, and business-as-usual work Enable development teams Provide executable interfaces to our infrastructure platform Provide tools and best practices to support the entire software development lifecycle Collaborate with others across the orga

We’re looking for an Senior Software Developer, Backend who can help us support the development organization to deliver value to customers in a reliable, efficient, and safe manner. You’ll be working in a focused team that owns one piece of the production application environment and the developer experience, you will execute on defined projects to achieve team-level goals. In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for a hybrid model. This role is open to applicants within commutable distance to Luxembourg. WHAT YOU’LL DO: Write software - tools, libraries, automation, services Design and build our infrastructure platform Identify and implement new platform features Research and evaluate new technologies Refactor, rewrite or retire existing platform features Operate our developer experience and production application environments Diagnose and repair our distributed systems Perform maintenance, upgrades and migrations Control or eliminate repetitive tasks, alert noise, and business-as-usual work Enable development teams Provide executable interfaces to our infrastructure platform Provide tools and best practices to support the entire software development lifecycle Participate in a flexible on-call rotation Communicate by writing documentation, participating in meetings, and showing off your work at demos WHAT YOU’LL NEED: A degree in Computer Science or Engineering or equivalent experience working in a software engineering role An ability to write software and working knowledge of software engineering practice (Java programming language and strong working knowledge of object-oriented programming concepts) Proven experience creating stable, reliable, performing and maintainable code Familiarity with data modeling and schema design Knowledge of data structures and algorithms Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarific

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Eva

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr AI Architect - Conversation AI. About the job This position is critical to leveraging Twilio’s massive data ecosystem and unmatched communication scale to build our customer facing AI capabilities, such as Twilio Conversational Memory, Enterprise Knowledge, Behavioral Data Intelligence and many more to power the future of our customer engagement platform. As a Sr. AI Architect for Twilio Platform, you will also influence the design and evolution of our company-wide ML/AI Ops foundation. You will set the long-term technical vision, establish architectural guardrails, and ensure strict adherence to responsible AI principles. You will drive cross-organizational initiatives, solve complex technical challenges, and elevate the technical standards across all of Twilio. Transitioning AI/ML concepts from cutting-edge research to resilient, compliant, and cost-effective production systems will be your core mission. As a Sr AI

Senior Software Engineer, Developer Infrastructure Reykjavík The Developer Infrastructure team builds the tooling and systems our Asana engineers use every day to bring their ideas to production quickly and reliably. We build and operate the software that drives Asana’s roadmap. Each day, we combine industry best practices and innovation to support this product-focused company. We’re looking for an experienced Software Engineer with a passion for developer infrastructure. You will work with a world-class team of engineers on deploying and operating existing developer tooling, and building new tools to support our global, growing development team. You will have a unique opportunity to design and develop the systems and applications that drive the Asana development experience, lead complex technical projects, and work on cross-functional initiatives to help define the future of software engineering at Asana. This role is based in our Reykjavík office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Innovate the architecture of our development sandboxes to accelerate development iteration. Modernize our build system, tighten iteration loops, and polish frequent cycles in the developer experience. Lead complex developer infrastructure projects from technical design through implementation, rollout, and operation. Partner with engineering teams to ide

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

Datadog is looking for an Engineering Manager to lead and grow our Code Coverage team, which is building the next generation of AI-powered developer tooling. This team owns Datadog’s Code Coverage product across the entire stack, helping customers track and enforce test coverage. Code Coverage is part of the Software Delivery suite, which enables engineering teams to move faster and more securely. In this role, you will lead and develop a high-performing engineering team in an ambiguous environment. You’ll set technical direction, drive execution, and remain hands-on. You will partner closely with customers and product management to evolve the product into an automated system that leverages production signals and AI to improve test quality, relevance, and performance. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead and develop a team of four engineers in Madrid, supporting their growth through mentorship, regular 1:1s, and clear performance feedback, while fostering a strong culture of ownership and quality Guide the evolution of Code Coverage into an AI-powered system that uses production data and LLMs to identify coverage gaps and improve test effectiveness Partner with product management and customers to define and evolve the roadmap, aligning stakeholders and translating strategy into clear priorities Stay hands-on by contributing to architecture and design decisions, and by participating in the on-call rotation Who You Are: You have a strong interest in AI and agentic engineering, and are curious about how LLMs and autonomous systems can improve developer workflows You have experience leading an engineering team as a tech lead or manager, with a track record of developing engineers at different level

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 with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API Security, code security (IAST and SCA), and AI-assisted ("agentic") onboarding, always measured by real product outcomes and operational telemetry. The Opportunity We're looking for a senior, polyglot engineer to contribute across several of our security libraries, with .NET or Java expertise. You'll design and build security integrations and detection features, take them from prototype to production-hardened, and own them operationally as they instrument thousands of applications. As a se