About the Role

At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency.

We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models.

This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we’d love to hear from you!

Responsibilities

Inference Framework Development and Optimization

• Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models.
• Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving.
• Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability.

Software-Hardware Co-Design and AI Infrastructure

• Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators.
• Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines.

Requirements

Must-Have:

• Experience:
  • 3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing.
• Technical Skills:
  • Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference)).
  • Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling.
  • Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants.
• Programming:
  • Proficient in Python and C++/CUDA for high-performance deep learning inference.
• Optimization Techniques:
  • Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization.
  • Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels
• Soft Skills:
  • Strong analytical problem-solving skills with a performance-driven mindset.
  • Excellent collaboration and communication skills across teams.

Nice-to-Have:

• Experience in developing software systems for large-scale data center networks with RDMA/RoCE
• Familiar with distributed filesystem(e.g., 3FS, HDFS, Ceph)
• Familiar with open source distributed scheduling/orchestration frameworks, such as Kubernetes (K8S)
• Contributions to open-source deep learning inference projects.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

The role

What you’ll do

• Partner directly with customers to assess their infrastructure requirements, security constraints, and deployment preferences, serving as the primary technical point of contact throughout the deployment lifecycle
• Build and maintain strong relationships with customer technical teams and stakeholders
• Gather customer feedback and requirements to inform platform development priorities
• Design and execute deployment strategies for customer-owned cloud and on-premise infrastructure
• Troubleshoot complex deployment issues across diverse infrastructure environments, understanding the difference between application and infrastructure bugs and triage internally
• Act as a system validator to ensure our platform works within customer infrastructure
• Continuously apply and improve deployment best practices and standards, and coach colleagues in their adoption
• Travel to customer sites in APAC for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site

What we’re looking for

• Experience in deploying Kubernetes clusters across a range of cloud platforms (AWS, Azure) and on-premise infrastructure
• Experience with infrastructure-as-code tools, preferably Crossplane, Terraform, and Helm
• Understanding of networking, security, and observability in containerised environments
• Proven track record of working directly with external customers or clients
• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences, including managing expectations and delivering on commitments
• Strong problem-solving skills with a customer-first mindset
• Comfortable presenting to technical and business stakeholders
• Self-motivated with strong project management and organisational skills to empower internal and external teams to prioritise effectively
• Collaborative approach with the ability to work effectively across various teams
• Experience in a customer-led, customer success, professional services, or solutions engineering role is a plus
• Experience in regulated industries or high-security environments is a plus

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

THE ROLE

EverPure Singapore is seeking an experienced Systems Engineer to join the Sales team in Singapore. In this role, you will leverage your technical expertise to pilot the sales & adoption of our EverPURE solutions with prospects and existing customers in the Commercial / Public Sector Accounts space. You collaborate with customers to understand their business goals, their pain points, and propose creative solutions in collaboration with our key alliance partners. You will work closely with other pre-sales, sales, partner sales & enablement, marketing, and leadership team members to help develop and grow business with the full EverPURE portfolio of solutions.

WHAT YOU'LL DO

• Develop an exhaustive understanding of what drives Commercial / Public Sector customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the EverPure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Passionately bring to light the advantages of a EverPure solution
• Refine sales strategy and tactics, taking command of technical responsibilities
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Author responses to RFI & RFPs
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the EverPure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING 

• Creativity, empathy, an open mind, curiosity and a desire for continuous learning
• Enterprise Pre-sales experience covering Commercial / Public Sector customers in Singapore is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Linux, NFS file systems and Linux distributed network environment
• Familiarity with AWS, Azure, GCP a plus
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Familiarity with containers, k8s and microservices architectures a plus
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Excellent verbal and written interpersonal skills
• BS in CS, EE or other technical degree and/or equivalent experience
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable

We are primarily an in-office environment and therefore, you will be expected to work from the Singapore office in compliance with EverPure’s policies, unless you are on PTO, or work travel, or other approved leave.

THE ROLE

At Portworx by Everpure, our product enables stateful containers in production, and we've been recognized as a Gartner Cool Vendor. Our technology encompasses a distributed storage platform and integrated controls with container schedulers such as Kubernetes, Mesosphere, Rancher, Nomad, and Docker Swarm. Our diverse customer base ranges from Global 2000 enterprises to cloud-native startups, running workloads on-premises and in public clouds.

WHAT YOU'LL DO

This is a senior technical role within the Technical Services COE team. As a Portworx Escalation Engineer (EE), you will need to tackle the most intricate and challenging customer issues, serving as the final support tier before escalation to development. You will offer technical expertise and troubleshooting assistance to Technical Service Engineers (TSEs) to resolve our most complex cases. If an issue persists or requires a code fix, you will effectively engage and communicate with development resources to identify root cause and present findings to our TSEs and customers to ensure timely resolution with the highest quality of service. The primary aim of this role is to minimize escalations to the Development team, identify opportunities for improvement, and to prevent future escalations from occurring. 

This position is well-suited for a support professional with robust interpersonal skills, seeking a dynamic, high-performance, entrepreneurial work environment. The ideal candidate should embrace the unpredictable nature of daily work in a rapidly expanding business.

• Offer technical expertise throughout all phases of the Portworx case management process for issues encountered in the field.
• Provide initial code review and analysis of current issues. 
• Resolve escalated service requests while maintaining a high level of service engagement, communication, and composure.
• Collaborate with customers and cross functional team members to troubleshoot and resolve escalated cases. 
• Act as the conduit between Technical Services and Engineering teams. 
• Proactively identify and resolve systemic issues in the field. 
• Mentor and coach TSEs and cross functional team members. 
• Assume ownership of communications for assigned issues, ensuring clarity and professionalism.
• Share and document knowledge through FAQ/KB articles, both internal and customer-facing. 
• Manage multiple projects/support cases concurrently. 
• Participate in a weekly on-call rotation. 
• Thrive as a team player in fast-paced and startup environments.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

We're looking for candidates with experience in supporting SaaS environments with a background in compute infrastructure, storage infrastructure, and container ecosystems, both on-premise and in the cloud. Technical expertise with one or more cloud providers (such as AWS, GCP, or Azure) is essential. Proficiency in Portworx, Kubernetes, Docker, Tanzu, VMware container solutions (CKA certification is required). Experience with one or more devops tools like Ansible, Chef, Puppet, Terraform is required. 

Your experience in a senior-level customer-facing role, providing various levels of technical guidance, will be pivotal. Furthermore, your ability to communicate effectively and work closely with our Product Development team for customer escalations will greatly contribute to the success of this role. You will be expected to resolve customer problems and escalations using appropriate resources.

• Bachelor's degree in Computer Science (Master's preferred) or a minimum of 8+ years of experience in customer-facing technical support work. 
• Experience in supporting SaaS products, with working knowledge of Portworx. 
• Demonstrated working experience supporting vSphere, Kubernetes, Containers, and Public Cloud platforms.
• Strong written, verbal, and collaboration skills.
• Strong understanding of GoLang.
• Minimum of 2 years experience in supporting production applications either on premises or in a cloud environment.

#LI-ONSITE

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Trading Systems

The Role: Senior Software Engineer (Full Stack)

Our advanced trading platform sits at the intersection of crypto, equities, and prediction markets. One of the most technically ambitious trading environments being built today. As a Senior Software Engineer, you will design and implement a variety of software systems that motivate, execute, and settle what is shaping up to be the largest transfer of wealth from the past to the future.

We are looking for a talented software engineer that is focused and fascinated by the real time movement of price and value at wire speed across a global liquidity network of buyers and sellers.

Responsibilities:

• Conceive, assemble, and deliver the financial platform that meets the trading team’s functional and non-functional requirements
• Build out our global liquidity network at scale across key financial centers worldwide
• Cultivate best practices and collaborate with engineering teams structuring applications
• Realize and promote the domain model and architecture for our trading platform
• Leverage key software systems and services from across Gemini’s portfolio of exchange, settlement, and custodian technologies
• Own projects end to end  from design through delivery  working cross-functionally with product managers and stakeholders

Minimum Qualifications:

• Proficiency with Golang (preferred) or equivalent back-end experience in Java, Scala, or similar; strong back-end engineers with comparable experience will be considered
• Proficiency with TypeScript (React) for front-end development
• At least 6 years of experience in full-stack development, with a strong focus on design, development, and delivery of scalable, distributed systems
• Experience building microservices deployed on AWS and Kubernetes
• Track record of working with a distributed design and development effort
• Strong analytical and conceptual skills with solid organizational skills and attention to detail
• Engaging communicator with a knack for precision and conciseness
• Independent decision maker able to act decisively based on your domain expertise
• Understanding of communication protocols, specifically FIX, Websocket, REST and GraphQL

Preferred Qualifications:

• Understanding of centralized financial exchanges (CeFi)
• Understanding of central limit order books and other liquidity providers
• Experience at a startup or high-growth technology company; demonstrated ability to operate with ownership and autonomy
• Background in crypto, equities trading, or prediction markets

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

• Comprehensive health plans covered at 100% for employees and dependents
• Long-term incentive in the form of a new hire equity grant
• Paid Parental Leave
• Competitive paid time off

In Singapore, we have a hybrid work policy. Employees are expected to work from the office part of the week. We believe our hybrid approach increases productivity through more in-person collaboration where possible.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

The Role

Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.

Who We're Looking For

What a day might look like

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation. We specialise in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models. At Akuna we have a flat structure, where the best idea wins.

Our Founding Partners, including Andrew Killion, first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, Singapore and London.

What you'll do as a Systems Engineer at Akuna:

We are looking for a Systems Engineer to be responsible for Akuna’s Linux server platform health. This person will participate in the design, deployment, and maintenance of our high-performance platform to support our trading environment. They will also automate daily software and hardware tasks while writing and maintaining scripts and tools. The ideal candidate will be self-motivated, proactive, and able to take ownership of projects and problems with minimal supervision. In this role, you will:

• Investigate new products and techniques to improve efficiency and performance in the environment
• Responsible for architecture and maintenance of a tier-based storage solution
• Management of Akuna’s server infrastructure at third party and local data centres
• Additional day-to-day responsibilities include system analysis, monitoring, and performance tuning, as well as additional support as required

Qualities that make great candidates:

• Bachelors, Masters or PhD with degree in Computer Science, Computer Engineering, Information Technology or a related subject
• Good English communication skills
• 4-6 years of systems engineering experience
• Advanced experience with a variety of Linux distributions (RedHat, Ubuntu ,etc.)
• Experience in managing and running services within K8s clusters
• Experience in managing a large scale AWS Cloud platform environment
• Experience in automation of daily software and hardware related tasks, Python or Bash scripting experience preferred
• Experience with build and configuration management tools (Ansible/Rundeck, Puppet, Foreman)
• Experience with system monitoring and alerting tools (Icinga/Nagios, Prometheus, Alertmanager)
• Experience in virtualization and orchestration platforms like VMware, Kubernetes and Terraform
• Experience in supporting a variety of storage platforms/protocols
• Familiarity with CI/CD pipelines and tooling
• Linux kernel and low latency performance tuning
• Knowledge of database systems, including PostgreSQL and MySQL
• Experience in troubleshooting multicast and TCP related performance issues
• Ability to diagnose and troubleshoot issues

The Role:

As a Senior Solutions Engineer, you will be a key driver of Neo4j’s growth by articulating business value, shaping solutions that address customer needs, and accelerating adoption within enterprises. You will engage in deep technical and business discovery, support the sales process through value-based selling, and collaborate with key partners, including hyperscalers (AWS, Azure, GCP) and strategic ISVs to drive joint go-to-market (GTM) initiatives, with opportunities to support customers and partners across APAC markets, including Korea (Korean language proficiency is a plus)

Responsibilities:

Sales Process & Customer Engagement:

• Lead technical discovery to understand customer challenges, pain points, and success criteria, ensuring solutions align with business objectives.
• Drive value-based selling, clearly articulating Neo4j’s unique differentiators and ROI to both technical and business stakeholders.
• Own the pre-sales engagement, delivering impactful presentations, live demonstrations, and competitive positioning.
• Map customer requirements to relevant Neo4j product capabilities, using whiteboarding, workshops, and tailored solution architectures.
• Develop proof-of-value (PoV) demonstrations and prototypes that showcase tangible business outcomes.
• Work closely with the sales team to support deal qualification, opportunity progression, and conversion strategies.
• Ensure smooth handoff to Professional Services, providing knowledge transfer to consulting teams and industry partners for successful implementation.

Partner & Ecosystem Collaboration:

• Work closely with key partners, including hyperscalers (AWS, Azure, GCP), ISVs, and system integrators, to drive joint solutions and co-sell initiatives.
• Develop and deliver enablement programs for Neo4j’s strategic partners, ensuring they have the technical skills and sales acumen to position Neo4j effectively.
• Collaborate on GTM strategies, helping design solutions that leverage hyperscaler services (e.g., AWS Neptune, Azure Cosmos DB, Google BigQuery) in combination with Neo4j to meet customer needs.
• Engage with partner sales and technical teams to drive adoption, influence deal cycles, and execute joint marketing initiatives.

Community & Thought Leadership:

• Support local marketing events, user groups, and Neo4j Community initiatives.
• Contribute to Neo4j’s thought leadership, delivering webinars, writing technical blogs, and speaking at industry conferences.

Relevant Skills and Experience:

• Deep expertise in value selling, with a strong understanding of the sales process and how to align solutions with customer business goals.
• Experience in technical discovery, consultative solutioning, and mapping customer needs to technology capabilities.
• Graph database expertise (Neo4j, OrientDB, JanusGraph, etc.), along with knowledge of relational/NoSQL databases, analytics, and data integration.
• Strong experience working with hyperscalers (AWS, Azure, GCP), including understanding of their data services and GTM strategies.
• Proficiency in Java, Python, JavaScript, Docker, Kubernetes, and cloud infrastructure technologies.
• Knowledge of data visualization tools (D3.js, Sigma.js, Linkurious, etc.).
• Excellent presentation and communication skills, capable of engaging technical teams, C-level executives, and partner organizations.
• Ability to work in fast-paced, sales-driven environments, managing multiple customer and partner engagements.
• Industry experience in Financial Services, Retail, Government, Security, or Telecommunications is a plus.
• Korean language proficiency is a plus, particularly for supporting customers and partners in the Korea market

Qualifications:

• 7+ years of pre-sales, professional services, or customer-facing technical experience.
• Bachelor’s or Master’s degree in a relevant field.
• Experience working with partners, including hyperscalers, ISVs, and system integrators.
• Ability to work independently in a cross-functional, global organization.
• Willingness to travel as needed for customer and partner engagements.

About the Role

We are looking for a Senior Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you’ll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You’ll Be Doing

• Architect Multi-Cloud Solutions: Explore, design, and implement multi-cloud architectures for our ML training platform to increase the availability, scalability, and resilience of high-performance compute resources (GPUs).
• System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP). Focus on resolving system-level bottlenecks—such as data loading (I/O), memory management, and network communication overhead—to maximize GPU utilization and training throughput.
• Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
• Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
• Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.
• Drive Engineering Excellence: Champion best practices in software engineering, system reliability, and code quality while mentoring junior engineers through high-level system design and code reviews.

What We’re Looking For

• BS or MS in Computer Science or related field
• 5+ years of professional experience in software engineering with strong foundations in distributed systems.
• Expertise with Python or Go or C++
• Solid experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
• Experience with the various stages of the ML development lifecycle
• Strong written and oral communication skills, with a track record of successfully taking ownership of infrastructure components and mentoring junior engineers.

Bonus Points

• Hands-on experience with ML model profiling and performance optimization for distributed training.
• Experience managing or working with high-performance compute resources (GPUs).
• Experience with ML frameworks such as PyTorch or Ray.
• Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

About CoreWeave 

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.  

CoreWeave powers the creation and delivery of the intelligence that drives innovation. 

Role Overview:

As the Production Engineer – Team Lead, you will be at the heart of CoreWeave’s cloud infrastructure stability and reliability. This senior generalist role is designed to provide strategic direction, operational continuity, and technical expertise across various facets of our platform. You will act as a bridge between engineering reliability and broader technical and organizational goals, ensuring a seamless connection between incident response, platform reliability, and team development. You will be responsible for guiding the team’s response to critical incidents, tracking performance against Service Level Objectives (SLOs), and driving improvements that enhance both operational readiness and reliability across the organization.

Your leadership will go beyond the immediate tactical resolution of incidents, ensuring that we continuously evolve our processes, communication, and training to support ongoing operational excellence. The Cloud Platform; Production Engineer Team Lead will reduce ambiguity, provide clarity, and keep reliability at the forefront of decision-making.

Key Responsibilities:

Incident Management & Recovery:

• Act as the Incident Commander during incidents, providing decisive leadership to ensure timely and effective resolution while minimizing impact.
• Coordinate cross-functional teams, including engineering, operations, and customer-facing units, during incidents, ensuring clear communication at all stages.
• Lead root cause analysis (RCA) efforts, working with engineering teams to implement long-term, sustainable solutions and prevent recurrence.
• Own and refine the post-incident review (PIR) process, ensuring actionable outcomes and continuous learning across the team.
• Oversee the creation and maintenance of incident response playbooks to ensure team readiness for diverse failure scenarios.
• Drive the escalation process, acting as the primary point of contact for high-priority incidents.

Operational Excellence & Reliability:

• Define and track Service Level Objectives (SLOs) and ensure alignment with business goals and team objectives.
• Champion the use of SLOs to guide incident prioritization, drive improvements, and communicate reliability outcomes.
• Identify and lead initiatives to improve system resilience, scalability, and disaster recovery capabilities across the platform.
• Develop and optimize KPIs, SLAs, and performance metrics for incident management and operational efficiency.
• Spearhead the implementation of automation strategies to reduce Mean Time to Detection (MTTD) and Mean Time to Recovery (MTTR), while increasing overall platform reliability.
• Mentor and guide the cloud operations team, ensuring consistent growth in technical skills, incident response expertise, and leadership capabilities.

Drive rapid incident resolution, able to drive collective technical deep-dives into unknown systems - connecting SMEs to find the unknown unknowns in their systems and how those systems fit into the broader ecosystem.

Team Development & Mentorship:

• Lead the development of the team by training and mentoring Production Engineer I/II in incident management best practices, tools, and systems.
• Foster a collaborative environment where knowledge sharing, continuous learning, and feedback are prioritized.
• Support the creation and evolution of team processes, ensuring scalability and the ability to respond effectively to both current and future needs.
• Encourage professional growth and up-leveling within the team, creating a strong foundation for the next generation of Cloud Platform SREs.
  
  

Required Qualifications:

• 4+ years of experience in production engineering, cloud operations, site reliability engineering (SRE), or incident response roles.
• Deep knowledge of cloud platforms (e.g., Kubernetes-based infrastructure, AWS, GCP).
• Strong familiarity with incident management frameworks such as ITIL and SRE best practices.
• Proficiency with monitoring and alerting tools (e.g., Prometheus, Grafana) and strong understanding of observability principles.
• Hands-on experience with automation, scripting, and configuration management tools (e.g., Python, Bash, Terraform).
• Demonstrated ability to make critical decisions under pressure, guiding teams through high-stakes incident resolution.
• Excellent communication skills, with the ability to translate complex technical issues for both technical and non-technical stakeholders.
• Proven experience mentoring and coaching technical teams, driving a culture of growth and continuous improvement.
  
  

Preferred Qualifications:

• Previous experience in an Incident Commander role, managing high-priority incidents and major service restorations.
• Advanced knowledge of Kubernetes, containerization, and distributed systems.
• Familiarity with change management processes, post-incident analysis techniques, and runbook automation.
• Experience with developing and managing self-healing infrastructure.
  
  

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is 196,000 to 262,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to Kubernetes clusters and workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $225,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

#LI-DNI

About the Role:

Production Engineering ensures CoreWeave’s cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success.

In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You’ll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments.

This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time.

What You’ll Do:

• Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.
• Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.
• Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.
• Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes.
• Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.
• Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns.
• Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.
• Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate.
• Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.

What You’ve Worked On (Minimum Qualifications)

• 7+ years of engineering experience building and operating distributed systems or cloud platforms.
• Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation.
• Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools.
• Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.
• Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices.
• A track record of successfully delivering hands-on reliability improvements through engineering execution.

Preferred Qualifications

• Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.
• Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering.
• Background operating or building large-scale AI or GPU-accelerated infrastructure.
• Experience maintaining multi-year ownership of foundational production systems.

Why CoreWeave

At CoreWeave, we work hard, have fun, and move fast. You’ll join a team that values curiosity, ownership, and creative problem-solving. Production Engineering sits at the intersection of reliability and AI infrastructure, building systems that enable the world’s most powerful AI cloud.

Core Values

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is 160,000  to 214,000 SGD The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Please note that this is a 24/7/365 team. Your shift will be 9AM - 6PM SGT.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role:

As a Senior Cloud Support Engineer at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind.

In this role, you will:

• Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave.
• Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA).
• Develop and deliver training sessions to improve the team’s proficiency and efficiency in resolving customer issues.
• Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes.
• Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices.
• Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions.
• Contribute to refining processes, workflows, and playbooks for handling complex customer challenges.
• Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches.
• Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides.
• Enhance the support team’s knowledge of CoreWeave’s products and services through continuous learning initiatives.
• Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required.

Who You Are:

• Have a Bachelor’s degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position
• At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles
• Proven hands-on work experience with Kubernetes
• Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration
• Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback
• Experience with observability tools such as Grafana
• Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes
• Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes
• Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences
• Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions

Preferred:

• CKA Certified 
• Demonstrated experience with training, coaching, and creating onboarding materials.
• Operates in a fast-paced, global, 24/7 support team environment
• Ability to collaborate across different time zones
• On-site office environment, hybrid, or remote options depending on location
• Flexible to travel up to 10% (~25 days/year)

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to dive into problems, test for solutions, and enjoy engaging with customers.
• You’re curious about AI.
• You’re an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux.

The base salary range for this role is $100,000 to $160,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

#LI-DNI

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Enterprise Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• 5+ years in Sales Engineering, Solutions Engineering, DevOps/SRE, or Platform Engineering, ideally in a customer-facing role
• Hands-on experience with at least one major cloud (AWS, Azure, or GCP) and modern app stacks (Containers/Kubernetes, microservices, CI/CD)
• Proficient in at least one programming/scripting language (e.g. Java, Python, Go, .NET, JavaScript/Node.js, Ruby, PHP)
• Familiar with observability and/or security tooling (metrics, logs, traces, RUM, SIEM, CSPM, etc.); experience with Datadog or similar platforms is a plus
• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute evaluation plans that clearly articulate both the business value (value proposition) and technical advantages of our offering
• Comfortable working across diverse cultures; fluent English required. Proficiency in an additional ASEAN language is advantageous — particularly Cantonese, as the role involves direct customer communication in Hong Kong.
• Open to frequent travel to Hong Kong and other locations (via road, train, or air), with travel expected up to 45% of the time.
• Able to sit up to 4 hours, traveling to and from client sites 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

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:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• 5+ years in Sales Engineering, Solutions Engineering, DevOps/SRE, or Platform Engineering, ideally in a customer-facing role
• Hands-on experience with at least one major cloud (AWS, Azure, or GCP) and modern app stacks (Containers/Kubernetes, microservices, CI/CD)
• Proficient in at least one programming/scripting language (e.g. Java, Python, Go, .NET, JavaScript/Node.js, Ruby, PHP)
• Familiar with observability and/or security tooling (metrics, logs, traces, RUM, SIEM, CSPM, etc.); experience with Datadog or similar platforms is a plus
• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute evaluation plans that clearly articulate both the business value (value proposition) and technical advantages of our offering
• Comfortable working across diverse cultures; fluent English required. Proficiency in an additional ASEAN language is advantageous
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

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:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Trading Systems Engineer, you’ll have the opportunity to learn and grow while supporting our trading technology. You’ll work closely with trading, infrastructure, and software development teams to keep systems running smoothly. You’ll gain experience working with exchanges, traders, and developers to help resolve technical issues and assist with ongoing improvements.

Qualifications & Skills:

• 1–3 years of experience in trade support, systems administration, site reliability engineering, or a related technical role (internships or projects count!)
• Bachelor’s Degree in Computer Science, Engineering, or related STEM field
• Basic understanding of networking concepts (TCP/IP, DNS, DHCP) and ability to use common troubleshooting tools
• Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus
• Ability to think through and troubleshoot technical problems under time pressure
• Clear communication skills, written and verbal
• Familiarity with scripting languages (e.g., Python, Bash, PowerShell) for basic automation tasks
• Experience with Linux/Unix environments (basic command line skills)

What You’ll Be Working On:

• Keeping trading systems healthy and available by proactively spotting and resolving potential issues
• Responding to trader and engineer request with both urgency and understanding of the bigger operational context
• Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem
• Learning the trading environment deeply so you can anticipate challenges and suggest improvements

What we Value:

• Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there
• Responsibility and trustworthiness: you follow through and communicate progress and results clearly
• Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind
• Collaboration: you seek input when needed but are comfortable making informed decisions yourself

About You:

• You enjoy diagnosing problems and thinking creatively about solutions
• You’re excited about fast-moving environments and want to see your work make an impact quickly
• You learn by doing and feel comfortable diving into unfamiliar technology

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Trading Systems Engineer you’ll collaborate with trading, infrastructure, and software development teams, working closely with exchanges, traders, and developers to support ongoing improvements and keep our trading technology performing at its best.

As markets evolve toward 24×7 trading, we’re expanding coverage to ensure our systems run smoothly during high impact periods that extend beyond the traditional Monday–Friday schedule. In this role, you’ll have the opportunity to work a non-traditional 5-day shift, depending on what best fits your schedule, for example Tuesday to Saturday, including Saturday working. This flexible coverage model allows you to make a critical impact during peak trading hours while enjoying off days during quieter parts of the week. 

What You’ll Be Working On:

• Keeping trading systems healthy and available by proactively spotting and resolving potential issues
• Responding to trader and engineer requests with both urgency and understanding of the bigger operational context
• Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem
• Learning the trading environment deeply so you can anticipate challenges and suggest improvements

 What we Value:

• Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there
• Responsibility and trustworthiness: you follow through and communicate progress and results clearly
• Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind
• Collaboration: you seek input when needed but are comfortable making informed decisions yourself

About You:

• You enjoy diagnosing problems and thinking creatively about solutions
• You’re excited about fast-moving environments and want to see your work make an impact quickly
• You learn by doing and feel comfortable diving into unfamiliar technology

Qualifications & Skills:

• 2+ years of experience in trade support, site reliability engineering, or a related technical role
• Bachelor’s degree in computer science, engineering, or related STEM field
• Experience with maintaining and troubleshooting complex distributed systems
• Demonstrated knowledge of network communications, including use of multicast networking
• Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus
• Experience with incident response and root cause analysis
• Ability to coordinate multiple priorities under time pressure
• Excellent written and verbal stakeholder communication skills
• Familiarity with programming languages (e.g., Python, Go, Bash, PowerShell) for basic automation tasks
• Competence in a broad range of technologies, spanning cloud platforms, containerization, monitoring/alerting systems, and distributed messaging platforms (e.g., AWS, Kubernetes, Docker, Splunk, Prometheus, Grafana, RabbitMQ)
• Experience with Linux/Unix environments
• Prior experience supporting electronic trading systems preferred.

Schedule: This position will require working on Saturdays and providing holiday coverage as needed by the department.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, consolidating data delivery infrastructure across disparate systems, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.

Technical requirements summary:

• Have extensive experience designing and building data pipelines
• Have experience working within modern batch and streaming data ecosystems
• An expert in SQL and Java or Python
• Extensive knowledge of data modeling techniques
• Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions
• Able to contribute to project management and project reporting
• Have experience driving nontrivial data migrations across platforms
• Able to establish, follow, and enforce data modeling standards across a large ecosystem.

What you will do in this role:

• Model, build, and manage data products built atop DRW’s Unified Data Platform.
• Work closely with Data Strategists to determine appropriate data sources and implement processes that onboard and manage new datasets for trading, research, and back-office purposes.
• Design data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies.
• Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Design monitoring and quality control software and processes.
• Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team’s on-call rotation to respond to unanticipated changes.
• Rapidly respond to user requests, identifying platform gaps, and self-service opportunities that make the user experience more efficient.

What you will need in this role:

• 7+ years of experience working with modern data technologies and building data-first products.
• Excellent written and verbal communication skills.
• Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment.
• Proven ability to deliver rapid results within processes that span multiple stakeholders.
• Strong technical problem-solving skills.
• Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines.
• Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches.
• Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.).
• Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs.
• Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.).
• Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.), delving deeply into low-level details.
• Proven experience in managing the operational aspects of large data pipelines such as backfilling datasets, rerunning batch jobs, monitoring event throughput, and handling dead-letter queues.
• Prior experience triaging data quality control processes, correcting data gaps and inaccuracies.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW-NX is looking for a talented Network Infrastructure Architect to join our NSO team (Network Services and Operations). You will play a critical role in building, automating, and ensuring the reliability of some of the most cutting-edge low latency infrastructure in the world.

You will:

• Have the opportunity to work on the fastest network in the world.
• Experiment with the latest technologies and be a pioneer in the networking industry.
• Be part of a driven and dynamic global team focused on designing, improving, managing and monitoring a cutting-edge global network.

As a Network Infrastructure Architect for DRW, you will have two main mandates:

1. Supporting our global infrastructure with a focus on low latency including:

• • Providing operational support for our global wireless and wired high-performance network environments
  • Diagnose and solve network related issues and outages
  • Proactively identifying enhancements to existing configurations, technologies and procedures to improve performance
  • Operating and provisioning monitoring and telemetry systems where applicable
  • Contributing to the documentation of network processes, systems and configurations
  • Participate in network change and code reviews

1. Work on team and department projects such as:

• • Automate our network provisioning and operation
  • New network, colocation or path onboarding
  • New telecom link delivery
  • New monitoring solutions
  • New automation projects
  • Liaise with our internal project team and external service providers for maintenance support
  • Automate repetitive tasks and day to day network processes using scripting and automation

What you’ll bring to the team:

• At least Three to Five years of experience in network automation
• Able to write code and implementation automation using existing framework such as ansible
• Will to learn wireless technologies and low latency networking
• Knowledge of switching, routing, WAN, LAN, and datacenter network architectures
• Good understanding of Linux (Boot sequence, services, processes, network and kernel)
• Ability to deploy and operate a monitoring framework such as Cacti, Zabbix, Nagios, Prometheus or Tick stack
• Excellent analytical, organizational and problem-solving skills
• Proven ability to work under pressure in a fast-paced environment with competing priorities
• Ability to work independently and be part of a global team
• A high level of energy and a passion for creativity and innovation
• The flexibility to participate in the rotating weekend maintenance schedule
• Excellent verbal/written communication skills and documentation/knowledge management skills

Bonus points for:

• Bachelor's degree or higher in Computer science, Software Engineering or similar
• CCNP or JNCIP certification (R&S or similar)
• Experience working on automation (Python, Ansible/Puppet/Salt etc.)
• Experienced in Python, Go or similar coding language
• Experience with point-to-point wireless networks and knowledge of RF principles
• Experience working on low latency or trading networks
• Hands on experience working with containers or pods (docker or Kubernetes or similar)
• Hands on experience with cloud services (AWS)
• Firewall experience (Checkpoint, FortiGate, Palo Alto etc.)

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

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About Thoughtworks

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About Thoughtworks

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About Thoughtworks

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do: 

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring: 

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get:

• 15 to 21 annual vacation days (based on role level), plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical plan for employees and eligible dependents, including major medical, hospital, surgical, and outpatient coverage
• Dental insurance with comprehensive coverage for employees and dependents
• Annual wellbeing allowance for health and wellness support
• Life and accident insurance for added financial protection
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

An overview of this role

GitLab is seeking a Principal Engineer to set technical direction for our most critical infrastructure platforms. This role operates at organizational scale, owning architecture, solving complex systems problems, and driving initiatives that shape how GitLab grows, performs, and remains reliable.

As a Principal Engineer, you will serve as a technical authority and force multiplier, leading architectural decisions across distributed and cloud-native systems to translate business strategy into durable technical direction. Spanning multiple teams and domains, you will bring clarity to ambiguity, raise engineering standards, and mentor senior talent while remaining accountable for real production outcomes. This is a hands-on, high-impact role for leaders who drive success through influence and shape the foundational platforms that the entire organization depends on.

Organizational Focus Areas

Principal Engineers at GitLab drive strategy across our most critical infrastructure and delivery groups. Role placement across the following tracks is determined by business need and organizational priority.

Group Tenant Scale (GTS)

This track builds GitLab’s next generation, multi-tenant, horizontally scalable, and resilient SaaS platform. You will architect the foundations that enable other engineering teams to build upon this platform and drive convergence among GitLab’s various platforms..

• Core Focus: Lead the design and evolution of projects that enable our distributed, multi-tenant SaaS transformation, including Cells, Organizations, and OrgMover.
• Distributed Architecture: Architect for zero downtime, transparent relocation, and application hardening in a massive distributed environment.
• Strategic Decisions: Guide architecture decisions with availability, reliability, resiliency, performance, and cost in mind.

GitLab Delivery 

The GitLab Delivery track focuses on enhancing the reliability, efficiency, and speed of GitLab’s end-to-end software delivery across all platforms and offerings.

• Core Focus: Lead the platform strategy spanning Developer Experience, CI infrastructure, packaging, and release delivery across SaaS, Self-Managed, and Dedicated.
• Developer Experience: Treat GitLab engineers as customers, building self-service tooling, testing infrastructure, and paved paths that increase velocity while maintaining quality.
• Delivery at Scale: Architect reliable, automated pipelines that streamline how GitLab is packaged, released, and deployed across all platforms and offerings.

What You'll Do

• Own and drive the architectural direction for critical infrastructure platforms that support GitLab at global scale.
• Lead the design and evolution of large platforms and distributed systems that are scalable, resilient, secure, and cost-efficient.
• Serve as the technical authority on complex initiatives, guiding decisions that impact multiple teams and product areas.
• Translate business and product strategy into long-term technical roadmaps and execution plans.
• Drive alignment across engineering, product, and leadership by clearly communicating tradeoffs and recommendations.
• Establish technical standards and architectural patterns that raise quality and consistency across the organization.
• Be accountable for production outcomes, including reliability, performance, and operational excellence.
• Mentor senior engineers and act as a force multiplier through influence rather than direct authority.
• Operate effectively in ambiguous problem spaces where both the problem and the solution need to be defined.

What You'll Bring

• Proven experience designing and evolving large-scale platforms or distributed systems in cloud-native environments.
• Strong proficiency in Golang and/or Ruby, with the ability to contribute to, review, and guide core architectural changes in production codebases.
• Strong architectural judgment, including the ability to balance scalability, reliability, performance, security, and cost.
• Experience owning platform-level technical decisions that impacted multiple teams or an entire engineering domain.
• Solid understanding of Kubernetes-based environments as a production platform, including how they influence system design, deployment models, reliability, and operational complexity.
• Experience being accountable for production systems, not just design recommendations.
• Ability to author and drive long-term technical strategy and multi-month roadmaps.
• Track record of leading through influence and shaping technical direction without direct authority.
• Comfort making high-impact technical decisions, including build vs buy vs partner tradeoffs.
• Strong communication skills, with the ability to explain complex technical concepts to engineers, leadership, and non-technical stakeholders.

About the team

The Principal Engineer role sits within GitLab’s Infrastructure Platforms organization, working across multiple teams to shape how our platform scales and operates. This group is responsible for some of GitLab’s most critical systems, including the multi-tenant SaaS platform, core delivery pipelines, and the underlying infrastructure that powers millions of users. As a Principal Engineer, you’ll define technical direction, guide architectural decisions, and ensure our platforms remain resilient, performant, and modern. The team operates fully remotely and collaborates asynchronously across time zones, grounded in GitLab’s values of transparency, autonomy, and open communication. You’ll help the organization tackle complex distributed systems challenges at scale while mentoring other engineers and building a culture focused on reliability, efficiency, and continuous improvement.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The role

We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.

You’re welcome to work remotely from Singapore.

Your responsibilities will include: 

• Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
• Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
• Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
• Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
• Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency

We expect you to have: 

• 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
• Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
• Hands-on experience with:
  • Prompt engineering and LLM pipeline development, including evaluation
  • Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
  • Vector databases and RAG implementation patterns
  • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
• Strong Python programming skills
• Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences

It would be an added bonus if you have: 

• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
• Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
• Work with multimodal AI models (e.g., vision-language, speech)
• Proficiency with DevOps tools (Docker, Kubernetes)
• Contributions to open-source ML/AI projects

Preferred technical stack:

• Programming Languages – Python
• ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
• Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
• API and Web Frameworks – FastAPI, Flask
• MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
• Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

An overview of this role

As a Senior Engineer on the Runway team, you'll lead the design, evolution, and operation of the Kubernetes-based platform and developer tooling that powers GitLab's engineering organization. You'll drive strategic infrastructure initiatives across platform architecture, automation, and developer experience. That includes operating production Kubernetes clusters across cloud environments, scaling our ArgoCD-based GitOps workflows, and setting infrastructure-as-code practices and standards across teams. You'll mentor engineers, influence architectural decisions, and drive platform improvements that enhance reliability, observability, and security controls like RBAC and secrets management. Your work will establish clear patterns that make it easier for application teams to adopt modern practices and ship with confidence.

Some examples of our projects:

• Evolve ArgoCD GitOps standards across environments (Application Sets, sync policies, and deployment guardrails)
• Build reusable Terraform modules and practices for safe, repeatable cloud infrastructure provisioning and drift detection

What you'll do

• Manage and evolve production-grade Kubernetes clusters across cloud environments, contributing to architectural decisions on upgrades, scaling, disaster recovery, and reliability improvements.
• Implement and maintain GitOps workflows using ArgoCD, including Application Sets, sync policies, and deployment standards, and share best practices with teams adopting these patterns.
• Build and maintain reusable Terraform modules that enable safe, repeatable cloud infrastructure provisioning, including state management and drift detection practices.
• Lead incident response, drive post-mortems to clear conclusions, and implement improvements to availability, performance, and resilience as part of on-call rotation.
• Partner with application teams to onboard services onto the platform, writing documentation, runbooks, and self-service tooling that improves developer productivity.
• Implement security controls such as RBAC, network policies, and secrets management that meet compliance requirements.
• Contribute to CI pipeline integrations as part of end-to-end delivery workflows.

What you'll bring

• Proficiency in Go for writing and maintaining production-grade services and automation tooling, with the ability to guide others on best practices and code quality. Python or Bash experience is a plus.
• Hands-on experience owning production Kubernetes clusters across one or more cloud environments (for example, Amazon EKS, Google GKE, or Azure AKS), including upgrades, scaling, disaster recovery, and reliability engineering.
• Experience designing and operating GitOps-based continuous delivery workflows (for example, ArgoCD or Flux) and infrastructure as code (Terraform or equivalent), including reusable modules and safe infrastructure provisioning practices.
• Solid understanding of networking fundamentals (DNS, load balancing, ingress) and the ability to reason through failure modes and design tradeoffs, not just apply familiar patterns.
• Ability to deliver well-structured, independently driven work, including clear documentation of decisions, tradeoffs, and future considerations, in support of a team that operates asynchronously across time zones.
• Strong written and verbal communication skills, including the ability to write system documentation, establish runbooks, and share knowledge in ways that help the broader team move faster and get unblocked quickly.

About the team

The Runway team builds and operates the Kubernetes-based platform and developer tooling that GitLab engineers use to ship changes safely and reliably. We own core platform capabilities like production cluster lifecycle management, GitOps-based delivery workflows (ArgoCD), infrastructure as code foundations (Terraform modules and standards), and the reliability and observability practices that keep the platform healthy. We collaborate asynchronously with application and security partners to onboard services, improve self-service workflows, and strengthen controls like RBAC, network policies, and secrets management. The team's focus is reducing friction for developers while improving consistency, security, and operational confidence as the platform scales. For more on how this team works, see the Team Handbook Page.

Mission Summary:

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality. The Perception Platform team is central to this mission, operating at the intersection of ML Infrastructure and Perception. We build the foundational frameworks, evaluation pipelines, and tooling that enable our Perception team to scale their work on the tech stack responsible for perceiving the dynamic world around our robo-taxi.

These foundational systems include our large-scale data pipelines,  which are critical for efficient end-to-end ML development (e.g. data transformation, model training, and model evaluation) of our on-car and off-car Perception solutions. It also includes our evaluation and visualization tools, which provide intuitive insights into dataset distributions, model behavior, system performance, and edge-case scenarios. Finally, our active learning loop which continuously selects and incorporates high-value data to improve model accuracy and robustness over time.

What you’ll be doing: 

• Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
• Provide technical guidance, mentorship, and career development opportunities to team members
• Define team goals, priorities, and roadmap in alignment with company objectives
• Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
• Lead design and code reviews, setting a high bar for quality and ensuring the adoption of best practices.
• Foster cross-functional collaboration ensuring alignment with broader organizational goals.

What We’re Looking for:

• 7+ years of professional software engineering experience, with at least 3+ years in a formal or informal leadership or mentorship role.
• BS or MS in Computer Science or a related technical field.
• A passion for remaining hands-on and a proven ability to contribute high-quality, production-level code to a shared codebase.
• Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
• Proven experience in backend development and leading the architecture of complex systems.
• A deep understanding of ML or Perception topics to strategically guide pipelines/tooling.
• Demonstrated experience in designing and delivering data visualization tools or internal engineering dashboards that drive insights and action.
• Expert knowledge of software engineering principles, with a track record of leading teams in software design, source control management, build processes, code reviews, and testing methods.
• Excellent communication and interpersonal skills, with the ability to articulate a technical vision and motivate a team

Bonus Points:

• Expertise in concurrency, parallel processing, and database systems to inform architectural decisions.
• Experience with distributed computing frameworks like K8s and Ray.
• A proven track record of developing and deploying Perception systems for autonomous vehicles or robotics.
• A Ph.D. in a relevant field, or equivalent industry experience that demonstrates a commitment to continuous learning.
• Proficiency in modern C++ (C++14/17 or later)
• Experience with building products with current LLMs and MCP protocols.
• Experience with GPU-accelerated data processing.
• Familiarity with Pytorch, TensorFlow or other modern ML development platform
• Experience in project management and a history of successfully delivering complex technical projects.

Role Purpose

As a Senior Backend Software Engineer (Fixed Term Contract) within Boku’s Engineering organisation, you will be one of a small group of engineers delivering new products as part of Boku’s Innovation department. A new suite of products being built from the ground up. This is a greenfield development engagement: the work is scoped to designing and building new software, not maintaining or extending existing production services. You will work in a small, high-autonomy team with a clear remit and a defined delivery horizon, reporting to the Head of Product and Engineering.

Key Responsibilities

Backend Engineering

• Design and build production-grade services using Java and Spring Boot, targeting high throughput, low latency, and high availability (99.99%+).
• Implement and evolve RESTful/gRPC/MCP and event-driven APIs supporting payment initiation, callback handling, reconciliation, and settlement flows.
• Build for fault tolerance and resilience: circuit breakers, retry logic, idempotency, and graceful degradation under load. Maximum observability and telemetry at the core of the build to ensure easy support.
• Optimise service performance through profiling, load testing, and careful data access layer design (SQL and NoSQL).
• Collaborating with colleagues and off-shore development teams providing code-reviews and guidance as necessary to team members and development studios.

Payment Systems

• Build the core components of Payout, Card Processing and FX systems from scratch, including a payout processing engine, AI agent treasury orchestration layer, and cash forecasting service. This work is entirely new development and there is no existing codebase to maintain or inherit.
• Contribute to PCI DSS compliant system design and implementation, including sensitive data handling, audit logging, and access control.

Frontend Contribution

• Contribute React-based frontend components for internal tooling, operational dashboards, and merchant-facing interfaces where required.
• Work with Product and Design to deliver functional, well-tested UI features that meet Boku's quality bar.

FX & Treasury Integration (Desirable)

• Support integration with FX data sources including Bloomberg feeds, for use in real-time rate pricing, settlement FX, and treasury risk tooling.
• Contribute to cash position and FX exposure monitoring services, working alongside Finance and Treasury stakeholders.

Reliability & Operations

• Instrument projects with observability from day one: structured logging, distributed tracing, metrics, and alerting built as part of the product, not retrofitted. On-call and incident management for existing Boku production services are outside the scope of this contract.
• Instrument services with structured logging, distributed tracing, and metrics; contribute to SLO/SLA definitions and alerting.
• Set up CI/CD pipelines, container build configuration (Docker/EKS), and code quality gating (SonarCloud, SAST) as new infrastructure built to Boku’s engineering standards and handed over as part of the finished product.

Key Skills, Experience and Competencies

Required

• 5+ years of backend engineering experience, with deep expertise in Java and the Spring Boot ecosystem (Spring MVC, Spring Data, Spring Security).
• Demonstrable experience building and operating high-throughput, high-availability distributed payment or financial services systems.
• Strong understanding of payment system architecture: idempotency, exactly-once delivery, reconciliation, and settlement flows.
• Experience with relational databases (PostgreSQL, MySQL) and messaging systems (Kafka, RabbitMQ, or equivalent).
• Familiarity with container-based deployment (Docker, Kubernetes/EKS) and CI/CD pipeline tooling (GitHub Actions or equivalent).
• Experience with PCI DSS compliant system design and secure coding practices.
• Strong communication skills; ability to work effectively with Product, Architecture, and Operations in a globally distributed team.

Preferred

• React frontend development experience sufficient to contribute to internal tooling and dashboards.
• Experience integrating with Bloomberg data feeds (BFIX, B-PIPE, or similar) or other real-time FX data sources.
• Background in FX processing, treasury systems, or multi-currency settlement.
• Experience with financial messaging standards (ISO 20022, SWIFT MT/camt formats).
• Prior work in a payments processor, PSP, or fintech operating across multiple markets.

AI & Agentic Systems

• Practical experience building or integrating LLM-powered features into production services, including prompt engineering, tool/function calling, and structured output handling via APIs such as Anthropic or OpenAI. Familiarity with AWS Bedrock is ideal.
• Experience designing or contributing to agentic workflows: multi-step autonomous processes where models plan, call tools, and act on results — including handling retries, failure modes, and human-in-the-loop checkpoints.
• Familiarity with MCP (Model Context Protocol) or similar tool-use frameworks for connecting AI models to internal APIs, databases, and external services.
• Comfortable using AI-assisted development tooling (e.g. Claude Code, GitHub Copilot, Cursor) as part of day-to-day engineering workflow, and able to reason critically about where AI assistance adds value versus where it requires human judgement.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of professional software engineering experience in backend-heavy roles.
• Prior experience in a regulated financial services or payment processing environment strongly preferred.

Why Join Boku?

Impact: Work on payment infrastructure that processes billions of dollars annually, serving some of the world's largest digital commerce platforms across 65 countries.

Focus: A fixed term engagement with a clearly scoped remit, embedded within a high-calibre engineering team operating on greenfield and core platform work.

Culture: A collaborative, inclusive engineering culture that values craft, rigorous thinking, and delivery. Boku is a genuinely global company with deep expertise in local payment markets.

Benefits: Competitive day rate, flexible working arrangements, and Singapore-based team with global stakeholder exposure.

Responsibilities

We are seeking an Senior AI Applications Engineer (Full Stack) to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.

This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.

• Build scalable, production-grade backend services and REST APIs using Python.

• Develop clean, performant, and reusable React.js components for modern web interfaces.

• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.

• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.

• Lead architecture discussions and set engineering best practices across the stack.

• Optimize application performance, scalability, and reliability across backend and frontend systems.

• Mentor junior developers and contribute to a culture of engineering excellence.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.

• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.

• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).

• Deep knowledge of REST API design and integration patterns.

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.

• Familiarity with integrating AI/ML models into applications (directly or via APIs).

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.

• Strong sense of ownership, accountability, and leadership.

• Passion for AI and delivering impactful, data-driven software solutions.

• Comfortable working in a fast-paced, collaborative, and iterative environment.

• Willingness to mentor others and help raise the overall bar for engineering quality.

(REQ ID: 2456)

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure teamin conjunction with the Workato AI Lab in Singapore. You will work closely with engineers in Singapore, US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

 In this role, you will also be responsible to:

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

Qualifications / Experience / Technical Skills

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: 2437)

You will join the Workato AI Lab, which partners with industry leaders, public sector organizations, and academic institutions to build real-world AI solutions. Join our multidisciplinary team as we pioneer next-generation AI innovation for Asia’s top enterprises. From driving agentic orchestration to building robust AI governance frameworks, your work will shape the future of intelligent automation for leading organizations across the region.

We seek an exceptional Senior Go Engineer to join the Workato Genie team. In this role, you will be responsible for developing mission-critical features and services for the Workato platform, including AI chatbot dispatching and balancing synchronous and asynchronous AI execution. You will also be accountable to:

• Build high-performance gateways and routing components
• Build server-side infrastructure for logging and monitoring
• Work closely with Infra and SRE teams to ensure high availability and scalability requirements are addressed
• Collaborate closely with the AI team to design and implement innovative features for a new AI assistant, ensuring cutting-edge performance and user experience. 
• Contribute at all phases of the development lifecycle
• Write well-designed, testable, efficient code
• Evaluate and propose improvements to the existing system
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

Qualifications / Experience / Technical Skills

• BS/MS degree in Computer Science, Engineering, or a related subject
• 8+ years of industry experience
• Strong experience with Go language at backend (4+ years)
• Excellent debugging, analytical, problem-solving, and social skills
• Good understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
• Experience with building and scaling distributed, highly available systems
• Experience in Ruby on Rails is a plus
• Contributions to open-source projects are a big plus
• Understanding of possible bottlenecks in a code and a solution in general
• At least basic knowledge of Kubernetes concepts and configuration

Optional Requirements

• Experience with Docker and other isolation technologies
• Experience with Redis-based caching
• Experience with public cloud infrastructure providers (AWS/Azure/Google Cloud)
• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc)
• Experience with third-party REST APIs at scale (request throttling, batch processing, etc)

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
• Spoken English (at a level enough to pass technical interviews and work with colleagues)
• Open to new technologies and willing to experiment
• Full-cycle product feature delivery mindset (from design to production and maintenance).

Job Req ID: 2423

Responsibilities

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane. 

You will be working on the AgentX Apps, Please click on the link for more details.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.
  
  
• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
  
  
• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.
  
  
• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.
  
  
• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.
  
  
• Lead technical initiatives for AI system integration into existing products and services.
  
  
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
  
  
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
  
  
• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).
  
  
• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).
  
  
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.
  
  
• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.
  
  
• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.
  
  
• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
  
  
• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns.
  
  
• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)
  
  
• Strong understanding of software architecture, scalability, security, and system design.
  
  
• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
  
  
• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts
  
  
• Collaborative mindset for cross-functional team work
  
  
• Detail-oriented with strong focus on quality
  
  
• Self-motivated and able to work independently
  
  
• Passion for solving complex search problems
  
  

Job Req ID: 2455

About the Job:

As a Senior Solutions Engineer, you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the Singapore Market

You will guide technical discovery, deliver compelling demonstrations, lead proof-of-value engagements, and help customers understand how LaunchDarkly enables safer, faster software delivery. This role combines deep technical expertise with strong business acumen and the ability to translate complex technology into real business outcomes.

You’ll work closely with engineering leaders, architects, and DevOps teams at large enterprises to help them modernize their software delivery practices.

Responsibilities:

Partner with Sales to Win Enterprise Deals

• Work closely with Account Executives to qualify opportunities and develop technical account strategies.
• Help customers understand how feature management and progressive delivery can transform software delivery.
• Participate in complex enterprise sales cycles and help secure technical wins.

Lead Technical Discovery and Solution Design

• Engage with engineering leaders, platform teams, and architects to understand their software delivery challenges.
• Design solutions that demonstrate how LaunchDarkly integrates into modern development environments.
• Align technical solutions with customer business objectives.

Deliver High-Impact Demos and Proof of Value

• Conduct compelling product demonstrations that highlight real customer value.
• Lead technical evaluations including proof-of-concepts, workshops, and hands-on trials.
• Guide customers through the evaluation process and ensure successful outcomes.

Build Champions and Trusted Relationships

• Develop strong relationships with both technical and business stakeholders.
• Enable customer champions who can advocate for LaunchDarkly internally.
• Support customers throughout the evaluation process and beyond.

Be a Technical Thought Leader

• Stay up to date on trends in DevOps, CI/CD, feature management, AI-driven development, and modern software architecture.
• Confidently communicate technical and business value to a range of audiences from developers to executives.

Collaborate Across Teams

• Partner with Sales, Customer Success, Product, and Engineering to ensure successful customer outcomes.
• Provide feedback from the field to help shape the product roadmap.

Qualifications:

• 8+ years of experience in Sales Engineering, Solutions Engineering, or Technical Pre-Sales in enterprise SaaS.
• Experience working with enterprise development teams and technical stakeholders.
• Strong understanding of modern software development practices, including:
• • CI/CD
  • DevOps
  • Infrastructure as code
  • Feature flags and progressive delivery
• Proven ability to run technical demos, workshops, and proof-of-concept engagements.
• Excellent communication and presentation skills.
• Experience supporting complex enterprise sales cycles.
• Background in software engineering, DevOps, SRE, or platform engineering.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Kubernetes and microservices architectures.
• Programming experience in languages such as Java, Python, Go, Node.js, or .NET.
• Experience supporting enterprise deals in large organizations (F500 / G2000).

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

Role Summary 

This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand’s ERP platform and its integration with factory software, analytics, and operational software systems. 

This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, inventory, supply chain, work orders, and enterprise operations. The backend in this role will serve as the connective layer between ERP capabilities and factory software execution, while also enabling intelligent systems that support automation, decision support, operational analytics, and future AI-driven workflows. The role requires close collaboration with frontend, product, AI, and domain expert teams — along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations. 

Responsibilities:

• Own the design, architecture, and implementation of backend systems for Amperesand’s ERP platform and its integration with factory software, analytics, and operational platforms. 

• Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows. 

• Design backend systems that connect ERP workflows with factory software domains such as inventory management, supply chain operations, work order execution, production tracking, and enterprise reporting. 

• Build robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, internal tools, and third-party enterprise integrations.  

• Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.  

• Build services that connect shop-floor execution with ERP-oriented workflows such as material tracking, inventory state, work order status, fulfillment processes, and supply chain visibility.  

• Design and support intelligent systems that enable automation, contextual recommendations, operational insights, and AI-assisted workflows across ERP and factory software platforms.  

• Build distributed systems that are reliable, observable, and resilient under production load. 

• Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.  

• Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.  

• Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.  

• Contribute to technical strategy and architecture decisions across backend, infrastructure, data, and platform layers.  

• Mentor other engineers through code reviews, design reviews, and strong engineering standards.  

• Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.  

• Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders. 

Qualifications:

• 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.  

• Strong experience with Go and building production backend services.  

• Proven experience designing systems for high concurrency, high availability, and fault tolerance.  

• Experience building backend platforms for ERP, MES, factory software, analytics, workflow engines, or other enterprise/business-critical software.  

• Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.  

• Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.  

• Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.  

• Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.  

• Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.  

• Strong testing discipline across unit, integration, and end-to-end service validation.  

• Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.  

• Proficiency in English and ability to communicate effectively with wider teams.  

• Ability to travel up to 20%, including international 

Bonus Qualifications:

• Background in energy engineering systems (power systems, energy storage, power electronics, or controls). 

• Experience in manufacturing, industrial automation, supply chain, inventory managment, energy systems, or other operational technology domains 

• Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms. 

• Experience with MES, digital twins, or asset health monitoring. 

• Experience working within or building design systems.  

• Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.  

• Familiarity with CI/CD workflows and software DevOps practices. 

• Experience working with hardware, firmware, or operations teams. 

• Open-source contributions to backend projects a plus. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

About WPP Media  

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.   

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.  

For more information, visit wppmedia.com. 

 Role Summary and Impact 

The Media Futures Group AI Squad is a small, agile, and autonomous innovation team dedicated to charting the course for AI transformation across APAC for one of WPP’s most important and strategic global technology clients. 
 
By seamlessly integrating AI across media, creative, and production, this cross-functional squad delivers cutting-edge innovation and pioneering work to deliver more effective and efficient business outcomes. 
 
The team’s mission is to solve specific business challenges by delivering demonstrable proof of AI-enabled marketing improvements, providing strategic guideposts for the broader organization. 
 
Utilizing best-in-class tools like WPP Open and Gemini, you will innovate and deliver award-winning creative ideas while building, testing, and scaling solutions that enhance effectiveness, efficiency, and execution for our clients. 

 The AI Solutions Engineer serves as the master builder executing the construction. This highly technical role provides the dedicated, hands-on development support required to forcefully move theoretical architectural visions out of isolated testing environments and into highly secure, Google-approved, enterprise-grade production infrastructures. The AI Solutions Engineer bridges the critical, often perilous gap between a fragile, locally hosted prototype and a highly scalable, robust organizational tool capable of withstanding massive global traffic. 

Responsibilities 

• API & UI Development: Construct complex backend Application Programming Interface (API) connections and develop the secure user interfaces absolutely necessary to bridge the proprietary WPP Open platform with localized campaign tools and highly guarded client data lakes. 

• Live Deployment & Debugging: Execute rapid debugging, performance analysis, and troubleshooting of both machine learning models and underlying cloud infrastructure in real-time to prevent catastrophic performance degradation or service outages during live campaign sprints. 

• Security & Compliance: Strictly document the deployed technical architecture upon the conclusion of active campaigns. Solidify security protocols and data pipelines to ensure absolute compliance with enterprise risk standards and global data privacy regulations. 

• Codebase Handover: Facilitate the seamless handover of the finalized codebase to centralized, operations-driven technology teams, ensuring pristine code quality, proper containerization, and long-term deployment readiness. 

Skills and Experience 

• A minimum of 5 years of applied experience in software engineering, highly technical support, or complex solutions engineering. 

• At least 2 years focused exclusively on deploying machine learning (ML) or natural language processing (NLP) applications in live commercial environments. 

• Exceptional coding and scripting capabilities, primarily utilizing Python, Java, C++, or Go. 

• Deep, academic understanding of data structures, complex algorithms, and object-oriented software design principles. 

• Proven, hands-on experience troubleshooting, debugging, and reproducing obscure issues within advanced machine learning frameworks, specifically TensorFlow, Keras, and PyTorch. 

• Extensive operational experience navigating public cloud services, specifically Google Cloud Platform (GCP) components such as Kubernetes, Compute Engine, and Apache Beam. 

• Thorough understanding of computer networking, peering with private clouds, managing highly distributed systems, and Git version control. 

Key Competencies 

• Vertex MLOps & Cloud Infrastructure Deployment: Capable of establishing robust, automated machine learning pipelines using Vertex AI Pipelines and Google Cloud Platform components like Kubernetes and Compute Engine. Must ensure that generative AI tools are properly containerized to scale securely and withstand massive global traffic during live campaigns. 

• Vertex AI Mastery: Deep, hands-on proficiency with Google Cloud's Vertex AI platform as the exclusive, mandated environment for model deployment. Capable of navigating the Vertex Model Garden, configuring foundational models (like Gemini), and executing parameter-efficient fine-tuning for specific campaign needs 

• Secure RAG & Grounding Pipeline Engineering: Expert ability to build complex Retrieval-Augmented Generation (RAG) architectures within Vertex AI. Must demonstrate high technical acumen in securely connecting generative models to highly guarded, proprietary enterprise data lakes and Customer Data Platforms without exposing PII or violating data governance. 

• Rapid Problem-Solving: Ability to diagnose and repair code-level pipeline failures or UI breakdowns under the extreme pressure of a live campaign sprint. 

• Extreme Psychological Resilience: Thriving in highly volatile, fast-paced deployment environments where prototype code must be hardened instantly. 

Life at WPP Media & Benefits  

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.    

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  

Please note that while our philosophy is the same across WPP, benefits may vary by office/country. 

#LI-Regional

Job Description

Abnormal AI is revolutionising cybersecurity by leveraging AI-native technologies to combat modern cyber threats. Behind every fast-moving go-to-market motion is a platform that makes it possible — and that's what the AI GTM Platform team builds. We're the engineering team powering the forward-deployed product teams who sit shoulder-to-shoulder with our customers and internal stakeholders, turning enterprise pain points into shipped product on timelines traditional enterprise cycles can't match.

If you love building leverage — tools, systems, and platforms that multiply the impact of others — and want to own products through every stage of their lifecycle, this role is for you.

What You'll Do as a Software Engineer II

As part of the AI GTM Platform team, you will:

• Build the platform that powers the field. Design and ship the internal products, APIs, and services that let our forward-deployed teams prototype, validate, and scale customer-facing solutions with unusual speed.
• Own the full product lifecycle — 0→1, 1→10, and 10→100. You'll work across Experimental, Early Access, and General Availability stages of platform products. It's rare to get to take an idea from a napkin sketch through enterprise-grade rollout; here, you'll do it, sometimes on multiple products in parallel.
• Work in one of the most dynamic problem spaces in the business. GTM is where strategy, customers, product, and revenue converge. Every customer interaction, every deal, every expansion flows through it — and the platforms you build shape how effectively all of that moves.
• Leverage AI-augmented development. Use AI coding assistants to enhance productivity, optimise workflows, and automate repetitive work.
• Combat modern cyber threats at scale. Build secure, scalable systems that sit inside a platform processing billions of security events for Fortune 500 enterprises.
• Partner closely with customers and the field. Work with the people closest to our enterprise customers to understand real problems, iterate quickly, and deliver solutions that compound over time.

Technical Requirements

We're looking for engineers who have:

• 4+ years of professional experience in software development.
• Backend development experience with Python, TypeScript, or Go.
• Solid fundamentals in at least one modern frontend framework (React, Angular, or Vue). AI accelerates a lot of the implementation work here — what matters is that you can read generated code critically, tell good patterns from bad, and ship frontends you'd be comfortable defending in review.
• Familiarity with — or genuine curiosity and willingness to learn — AI coding assistants as part of your everyday workflow.
• Experience or strong interest in building scalable, enterprise-grade applications.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong fundamentals in computer science, data structures, and performance optimisation.

Nice to Have

• Experience building internal platforms, developer tools, or systems used by other engineering and product teams.
• Background in taking products through multiple maturity stages (prototype → pilot → scale).
• Exposure to GTM, sales engineering, solutions engineering, or other customer-facing engineering environments.

Why Abnormal Security — and Why This Team

• A rare breadth of surface area. Most platform roles specialise in one stage of maturity. Here, you'll operate across experimental prototypes, early-access pilots with design partners, and fully productised GA systems — and learn how each stage demands a different kind of engineering.
• Build for the sharpest users you'll ever have. Your internal users are the technical, fast-moving teams closest to our enterprise customers. They'll give you direct, high-signal feedback and put what you ship into customers' hands quickly.
• Direct line to business impact. GTM platforms are measured by how much faster the business moves as a result. Your work compounds across every customer engagement, every quarter.
• AI-native engineering culture. We expect AI-assisted development — it's how we stay small, fast, and ambitious. You'll have real room to experiment with and shape how the team uses these tools.
• Mission that matters. The systems you build ultimately protect the world's largest enterprises from sophisticated cyber attacks.

Ready to be part of the AI transformation at Abnormal Security?

Once you apply, you'll be invited to our AI-Augmented Development Challenge, where you'll gain hands-on experience with AI coding assistants to build real-world application features. This challenge is a take-home assignment requiring 2–4 hours of work to be completed within one week — apply when you're ready!

#LI-JP2

We’re a fast-growing cloud-native digital bank looking for a Lead SRE / Platform Engineer to drive initiatives to improve the reliability, resilience, and efficiency of the platform that powers our products. This is a hands-on role with leadership responsibilities: you’ll help set the technical direction for how we operate, scale, and secure our infrastructure, and you’ll build the systems that let us move quickly without breaking things.
You’ll be part of a core team that is trusted to keep it running smoothly, make it faster, and turn toil into code.

What you’ll do

• Own the observability platform. Logs, metrics, traces, events — the full picture. Make signals actionable, reduce alert fatigue, and give every team the tools to understand their systems in production.
• Build agentic SRE systems. Design and ship AI agents that investigate incidents, execute runbooks, automate remediation, and close the loop on production issues. Bring context and harness engineering discipline to agent design: grounded context, well-scoped tools, evals, and guardrails.
• Automate the platform. Turn manual processes into self-service. Every recurring operational task is a candidate for elimination.
• Drive resiliency automation. Lead initiatives such as chaos engineering, cost and performance optimization, and capacity forecasting.
• Lead through influence. Set technical direction, mentor engineers, help unblock them when they hit issues, and write the design docs that get referenced for years. Raise the bar on what “operational excellence” means here.
• Be the calm in the storm. Jump in to diagnose and remediate critical infrastructure issues. Support the team during critical deployments — you're expected to be hands-on when it matters most.

What we’re looking for

• 8+ years in SRE, platform, or infrastructure engineering, with deep production ownership of a non-trivial cloud platform.
• Strong system design chops. You can reason end-to-end about distributed systems and event-driven architectures, including failure modes and the tradeoffs between consistency, availability, latency, and cost.
• AWS and Kubernetes experience. Comfortable with EKS internals, networking, IAM/IRSA, service mesh (Istio), and the control-plane/data-plane split.
• Hands-on with the rest of our stack — Kafka, Aurora PostgreSQL / RDS PostgreSQL, S3, ELB — or equivalent managed data and networking primitives.
• Proven track record owning resiliency in a high-velocity environment: incident command, postmortems that actually change things, SLO-driven engineering, progressive delivery.
• Experience with context engineering and harness engineering — building LLM and agent systems where the prompt, retrieved context, tool surface, and eval harness are first-class engineering artifacts.
• A clear vision for what zero-downtime, zero-touch, zero-trust looks like in practice, and a track record of moving real systems toward it.
• Fluent in IaC (Terraform, Helm, or similar) and CI/CD. You believe platforms are products and treat them as such.
• FinOps mindset. Comfortable analyzing cloud cost reports, identifying inefficiencies, and driving optimization initiatives that balance cost with performance and reliability.

Our ideal candidate has

• Financial services or other regulated-environment experience.
• Experience integrating AI/LLM systems into production operational workflows — not just experiments.
• Expertise in OpenTelemetry and the broader observability ecosystem.
• Experience with Sumologic and PagerDuty (or equivalent observability and incident management tooling).
• A continuous learning mindset — you stay current and bring new ideas to the table.
• Strong stakeholder communication and management skills — you can translate technical concepts for non-technical audiences and build alignment across teams.

• Partner with our Sales Team to help customers evaluate and prove the value of our solution
• Focus on acquiring new customer “logos” in addition to growing existing customer base
• Own all technical aspects of sales opportunities and assisting current customers understand the value of Chainguard
• Day to day responsibilities include:
  • Listen to our customers and understand their challenges
  • Conduct product demonstrations and POVs/POCs
  • Actively participate in webinars, meetups, conferences and other marketing initiatives

• Experience as a Sales Engineer / Pre-Sales Engineer
• Experience with MEDDPICC and or Command of the Message sales frameworks
• Experience selling into Enterprise (3+ years) and Mid Market prospects
• Experience in the following areas:
  • Container technologies (Kubernetes, Serverless, Docker)
  • Cloud technology (AWS, Azure, Google, etc.)
  • Cloud security or containers security
  • App Security
• Startup experience
• Smart and passionate people that can persevere to success.
• People acting as trusted advisors, able to build credibility with customers.
• Strong team players committed to help and mentor their peers.

• 3+ years of backend development in Python, Go, or Java
• End-to-end LLM Agent production experience with depth in architecture design, hallucination handling, and tool-call fault tolerance
• Hands-on AI security knowledge — Prompt Injection, Jailbreak, malicious agent injection, tool misuse — with production-ready defensive solutions
• Production experience with at least one of LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph
• Proficiency with Docker, Kubernetes, and microservice architecture

• SAST/SCA or code auditing tool experience 
• LLM fine-tuning or local model deployment; security-domain fine-tuning is a strong plus
• Open source agent projects on GitHub or merged PRs to mainstream LLM frameworks
• CTF awards or CVE/CNVD submission records

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities:

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications:

• Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
• Experience with MLflow, Weights & Biases, or LangSmith.
• Knowledge of building scalable microservice architectures.

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

• Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
• Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
• Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

• Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
• Experience managing SLURM or Kubernetes-based GPU clusters.
• Strong systems engineering background (C++, CUDA, Python).

The Role

Your role, first and foremost, is to help our customers solve their most important problems. As a Senior Forward Deployed Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.

Who We're Looking For

What a day might look like

The role, in a nutshell:

We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer.

Skills/Job Requirements:

• Define and execute sales plans for your assigned territory
• Convey value prop and product differentiators to prospects and customers
• Forecast, meet, and exceed quota
• Through a combination of inbound and outbound leads, develop and manage leads funnel
• Manage business and track opportunities through CRM and other supporting tools
• Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering
• Understand the competitive market, being familiar with competing companies and their offerings

Candidate Background:

• 8+ years of selling SaaS/Security experience required
• Domain experience with one or more of the following strongly recommended: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins), and overall SDLC.
• Strong track record consistently overachieving sales targets
• Ability to learn new products and create/learn processes quickly
• Competitive/Driven
• Excellent communication skills verbal and written
• Team player
• Must be willing to travel to clients to support sales relationships (if required)
• Entrepreneurial – Willing to go the extra mile, strong work ethic, resourceful.

Desired Qualifications:

• SaaS or Developer tools sales experience
• Startup experience
• A strong sales aptitude and fundamental understanding of the sales process
• A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment
• Ability to thrive in an agile environment with an ever-evolving set of solution