Production Scheduler Enhancement Engineer Jobs

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters — driving AI automation for the world's largest enterprises. This role is based at our ​h​eadquarters in ​McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems — spanning code generation, agents, ret

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Regulated Industries – Customer Success at Anthropic, you'll lead the Success teams responsible for our most complex Financial Services (FSI) and Healthcare & Life Sciences (HCLS) customers. Think banks, insurers, asset and wealth managers and financial data providers; health systems, hospitals and payers; and pharmaceutical, biotech and life-sciences organizations. You'll directly coach and develop a team of Customer Success Managers who drive value across the full product portfolio (Claude Platform, Claude Code, Claude Cowork). These are organizations where deployment runs through compliance, procurement, security review, model risk and legal before it reaches an end user. You'll partner day to day with the Regulated Industries sales organization so that customers experience one Anthropic from first conversation to production. You'll turn what works at one regulated customer into a methodology that works at the next. That means success plans that anticipate the governance gates. Executive programs that reach the CIO, CISO, CRO and compliance leaders who decide whether Claude gets deployed. Expansion plays that survive long procurement cycles. You’ll inherit a partially formed team, spanning individual contributors and managers. You'll hire and run the initial team yourself. As the book expands you'll continue to add managers underneath you and manage through them. We're looking for someone who has already led a success business in regulated environments and wants to build the operating model that lets it scale. Responsibilities: Directly manage and develop a team of Customer Success Managers covering Fi

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Ubiquiti Prague office is looking for talented Backend developer for the UniFi Team. You’ll be working on the UniFi application back-end to develop efficient, scalable and maintainable features. This role requires working from our Prague office at least two days per week. The project stack: Kotlin; Spring Boot 4.0; PostgreSQL; Github Actions; Go. Responsibilities: REST API development Develop integrations with network device firmware and other UniFi OS applications. Participate in all phases of development, including feature design and testing. Code reviews for other team members. Requirements: Senior-level engineering experience, typically 5+ years shipping production systems. Strong problem-solving and systems thinking - you can break down ambiguous problems and design good solutions. Good understanding of SOLID principles. Experience in web application development. Daily, fluent use of AI coding assistants as a core part of your workflow. Fluent in English and Czech. Nice to have: Kotlin and Spring framework knowledge. Advanced knowledge of networking. Familiarity with networking, virtualization, storage and HW in general. Experience with Bash and Unix. Benefits​: Competitive salary, 5 weeks of vacation per year. Discretionary bonuses based on individual performance

Location Qualifications: This role is available for hybrid work (2 days in office) from our office in Bucharest. About the position As a Backend Engineer, you'll be pivotal in crafting innovative solutions that transform the creation, organization, and distribution of sales content. Catering to Sales Enablement specialists and Marketing Content Owners, you'll harness cutting-edge technologies to continuously elevate our platform, maximizing its impact on our users. Your role will involve not just expanding and refining our codebase, but also driving innovation for new features. You’ll take full ownership, writing functional, automated, and scalable code that operates seamlessly within our cloud infrastructure and is efficiently monitored. Key Responsibilities Develop high-throughput, maintainable backend services and API integrations using Node.js, TypeScript , or Go. Design cloud-native microservices and serverless workflows optimized for resilience, speed, and cost efficiency. Take features from design and technical RFCs through development, automated testing, CI/CD, and production deployment. Lead impactful code reviews, mentor teammates, and refine operational standards like observability, telemetry, and alerting. Identify bottlenecks across storage, databases, and network layers to keep platform latency minimal as we scale. Required Skills 3+ years of hands-on experience building production-grade backend systems. Strong proficiency in at least one modern language/runtime: TypeScript, Node.js, or Go. Experience architecting and deploying services on AWS (e.g., Lambda, ECS/EKS, DynamoDB, SQS/SNS, RDS). Practical understanding of distributed systems, API design (REST/GraphQL/gRPC), caching strategies, and telemetry (Datadog, OpenTelemetry, etc.). Strong commitment to automated testing (unit, integration, e2e) and continuous deployment practices. Excellent asynchronous communication skills and a preference for building iteratively in agile environments. Comp

About The Team The Rubrik Engineering team is comprised of people who produce extraordinary results. Our engineers are driven to build efficient, reliable, and cost effective products. We believe in empowering our teams, giving engineers autonomy and responsibility, not just tasks. Our goal is to motivate and challenge you to do the best work of your career. As part of the Rubrik Engineering team, you will work closely with product managers, designers, and other engineers to define the next generation of products for Rubrik. At Rubrik, nothing will stop you from thinking big. We are looking for individuals who are comfortable with ambiguity and excited by the prospect of a challenge. If you have a positive attitude, high energy and limitless drive, and like to win, we want to talk to you! About The Role: Site Reliability Engineers at Rubrik are systems/software engineers who ensure that Rubrik's infrastructure services run smoothly and have the capacity for future growth. What you’ll do: Ensure we maintain high availability and durability of our databases Establish best practices for internal teams to write performant SQL queries Perform periodic database upgrades minimizing downtime for our customers Design, implement and maintain relational database systems for performance and reliability Manage and run backend systems like Kubernetes, MySQL and everything in between Drive reliability, availability and efficiency improvements to Rubrik's Polaris Cloud Platform Good mix of software and system engineering skills Participate on-call rotations across continents, using a follow-the-sun model Write and review code, plan and execute upgrades, develop documentation and capacity plans, and debug production issues Work cross-functionally with various engineering teams Build monitoring tools and automation to increase efficiency of all teams Good written and verbal communication skills Drive FedRamp Certification process Good written and verbal communication ski

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. Database Engineer (DBA) Company: THG Ingenuity Location: Manchester (Head Office) Reports to: Database Platform Manager Role Overview We are looking for a Database Engineer to help run and improve our database platform. Our estate runs on Google Cloud Platform following a recent migration to self-managed services. There is plenty still to do in the next phase of modernising the estate, and you will be hands-on in that work as well as in the day-to-day running of the platform. You will work alongside a small team of database engineers and closely with engineering and infrastructure teams, keeping our database environments secure, reliable and performant. There is real scope to grow here, and you will be supported to deepen your technical expertise and take on more as you do. The role participates in a rotating on-call rota and occasionally requires out-of-hours work to support deployments, maintenance or incident response. Key Responsibilities Database administration Install, configure, maintain and upgrade PostgreSQL and SQL Server environments across development, test and production Ensure database servers are securely configured, patched and compliant with operational standards Own backup, restore and maintenance strategies, and test recovery procedures regularly Maintain database security, access control and auditing practices Cloud and infrastructure &n

Senior Software Engineer - (Agent Training and Evals) Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Software Engineer, you'll be one of the first engineers on our Agent Training & Evals team. You'll build infrastructure to evaluate AI agents at scale against real human expertise, in safe and secure environments. The better we get at this, the more useful, reliable and safe agents become. This is a genuine 0→1 role. There isn't a well-established playbook or existing architecture for you to simply maintain. You’ll shape the team’s technical direction and the products we build. You'll work closely with engineering, product and AI research to turn ambiguous problems into scalable systems, and you'll see the impact of what you build directly. What you’ll be doing in the role Build a platform to support evaluating and fine-tuning agents Take prototypes to production; turn experiments and research ideas into reliable, well-tested software Own what we ship as it scales in production Solve hard problems around data, compute, orchestration, scaling, security and reliability Work with emerging agentic AI technologies and rapidly evolving models Make effective product and technical decisions in a highly experimental environment Partner closely with customers, product engineering and AI research to turn problems and opportunities into working products Drive direct impact in a fast-moving, high-ownership, cross-functional team What you’ll bring to the role A background in Software Engineering, Data Engineering or MLOps Strong experience building scalable infrastructure or distributed systems in the clo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Ev

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role As a Senior Full-Stack Engineer in the Machine Learning department, you will help build and scale product capabilities focused on AI-enabled experiences, experimentation, and optimization. This is a full-stack role for an engineer who is comfortable owning work across the stack while spending most of their time on backend development. You will contribute to initiatives related to personalization, intake experiences, and AI-powered product improvements, while partnering closely with adjacent teams to deliver practical, production-ready solutions. This role is a strong fit for someone who enjoys combining traditional software engineering with modern AI workflows and wants to work on systems that evolve through real-world usage and iteration. What You’ll Do Build backend-heavy full-stack solutions that support Javelin team initiatives Contribute to frontend development as needed to deliver end-to-end product functionality Work on LLM- and AI agent-related application features and integrations Help support and extend self-optimization capabilities connected to the intake bot and related workflows Collaborate with cross-functional partners and adjacent engineering teams on shared initiatives Practice specification-driven engineering, translating requirements into clear, well-scoped specs before and during implementation Write maintainable, production-quality code and contribute to st

The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments. Job Responsibilities Data Platform & Analytics Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with robust backfill and reconciliation capabilities Create comprehensive monitoring for data quality, freshness, and pipeline reliability AI Platform Development Design, build, and operate internal AI platforms serving multiple trading teams Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability Job Requirements Mandatory Foundations 5+ years production experience with both Python and Java in high-performance environments Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization Expertise in Linux, Github, and modern CI/CD practices Proven experience with AWS cloud services and Kubernetes orchestration Comfort working with large-scale, complex datasets in financial/trading contexts

Role: Network Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Key Responsibilities Design, deploy, operate, and troubleshoot low-latency network infrastructure used by trading firms. Manage connectivity to global stock exchanges, brokers, market-data providers, and ISPs. Build and maintain colocation infrastructure including routers, switches, Layer-1 devices (added advantage), structured cabling and cross connects. Configure and support Cisco Nexus, Arista and similar platform devices. Design and troubleshoot Layer 2 and Layer 3 networks including: VLANs, VRFs, BGP, OSPF, Static routing, PIM, IGMP, Multicast, SSM, ACLs and QoS. Troubleshoot packet loss, multicast issues, duplicate packets, IGMP/PIM and multicast/BGP routing. Monitor and optimize latency, jitter, packet loss, interface errors, congestion, and network performance. Work with ultra-low-latency technologies including: Cut-through switching, Layer-1 switches, FPGA-based network devices, Kernel-bypass networking, ExaNIC/Solarflare NICs, Hardware timestamping. Configure and troubleshoot PTP and clock synchronization infrastructure. Perform server and network equipment installation in exchange and third-party data centres. Manage rack layout, patching, cable optimization, optics, DACs, cross-connects, and inventory. Coordinate network changes with exchanges, telecom providers, brokers, vendors, and data-centre teams. Plan and execute production changes during approved maintenance windows. Perform pre-change validation, c

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. Optimize end-to-end data paths through advanced

About us At Design Bridge and Partners, part of WPP, we design brands with the power to move. Pulling people towards them with an irresistible force that compels and connects. With 900 creative minds across 17 studios worldwide, diverse in expertise, experience, backgrounds and beliefs, we are united in our ambition to achieve real impact for our clients’ brands benefiting their business, people and the planet. With expertise across brand strategy, brand design, brand engagement and brand effectiveness our clients across the world include NASA Artemis, Unilever, Coca-Cola, Diageo, Mastercard, Intel, HSBC, Tencent, Twitch, Heineken, Reckitt and the BBC. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. About the role We’re looking for a Client Executive to join our team in Hong Kong. Every day will be a dynamic, fast-paced and immersive adventure, requiring resourcefulness, pro-activeness and the tenacity to make things happen. About you You will be the rock and cornerstone of your team, supporting senior members on everything from meeting planning and design reviews, to market research and project management, helping us to deliver great brand design for our clients across Asia Pacific. And as a person? We're looking for someone who is a cultural sponge, attentive to and appreciative of detail, but always keeping the bigger picture in mind. Why us? We’re passionate about our people and their careers. We’ll help you develop your skills and provide you with outstanding benefits. So you’ll have a chance to make your mark

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Test Engineering Project Title AI-Enabled Predictive Analytics for SSD Test Equipment Health Monitoring Project Description Objective of the Project Develop a data-driven equipment monitoring framework that leverages engineering data and AI-enabled analytics to identify early indicators of equipment degradation, optimize maintenance strategies, and improve SSD test equipment reliability in a high-volume semiconductor manufacturing environment. The intern will gain hands-on exposure to semiconductor manufacturing, equipment engineering, data analytics, automation, and AI-enabled engineering workflows while working on real-world manufacturing challenges. Project Scope Learning Opportunities Understand SSD test manufacturing processes and semiconductor production environments. Learn the architecture and operation of automated SSD test equipment platforms. Gain experience in equipment reliability engineering and predictive maintenance methodologies. Develop skills in data extraction, cleansing, analysis, and visualization using engineering datasets. Ap

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support. What you’ll do We’re looking for a Data Analyst to partner with Stripe’s Global organization, helping millions of users sell around the world. You’ll help build analytics and data products for solutions such as Adaptive Pricing and Stripe Managed Payments, as well as Stripe’s expansion into new markets across LATAM and EMEA. Responsibilities Design and build scalable data models and infrastructure to power product analytics and metrics reporting as we launch and grow new products Own business-critical data products, including Tier-1 datasets and production pipelines, ensuring reliability through rigorous testing, monitoring, and documentation Build and maintain the metric definitions, metadata, and business context that enable AI agents to help stakeholders explore trusted data and answer business questions independently Develop dashboards, automated reporting, and thoughtful analyses to surface actionable insights and proactively identify business opportunities Partner closely with senior business leaders to translate business needs into ana