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Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: New York City Compensation: $170,000-$300,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Austin, TX Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Austin, Texas Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Dallas, TX Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Dallas, TX Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Los Angeles, CA; Salt Lake City, UT; Seattle, WA; Denver, CO Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Remote Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: San Francisco Compensation: $170,000-$300,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London 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. The Virtualization team provides scalable on-premises compute for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We're looking for a Senior Engineer for our Virtualization team who will help guide the design and implementation of a new OpenStack-based virtualization platform. In this role you will help guide key architectural decisions for this platform, set engineering standards, identify and eliminate risks, and ensure optimal performance and cost-efficiency. Our philosophy: We believe in relentless automation of repetitive tasks. We have the curiosity and drive to dig deep and find creative solutions. We believe our goal is to find the right solution rather than always being right. We provide exceptional customer service to our teams and trading desks. We care more that the right thing is done than about rigid job descriptions or boundaries. What you’ll do: Own and improve infrastructure, processes, and standards for DRW’s Virtualization platform. Relentlessly automate repetitive manual tasks. Design, implement, and manage OpenStack clouds, including deployment, configuration, and maintenance of OpenStack components. Diagnose and rectify complex problems involving multiple teams related to OpenStack including compute, storage, and networking issues. Provide exceptional customer service to our platform’s users. Coach engineers on best practices, help investigate outages, set a high standard for operational and technical excellence. Ability to troubleshoot and resolve critical production issues in a high-intensity trading environment as part of an on-call rotation. Your background: Expert level proficiency in administration of OpenStack. Deep knowledge of networking, storage, Linux, and virtualization fundamentals. Proficiency with industry-standard IAC tooling (e.g. Terraform, Ansible). Scripting/Coding experience in multiple languages (e.g. Python, Golang, Bash). Experience maintaining/deploying/configuring server hardware and deploying virtual machines. A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries. Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics. You enjoy leading by example. You cultivate technical excellence and soft skills in your team members. Bonus points if you have: Experience with VMWare ESXi. Experience with Containerization / Kubernetes. Experience administering on-premise infrastructure. Experience developing, deploying, and supporting full stack web applications. Experience with multiple programming languages in both greenfield development and legacy maintenance. 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-SK1]

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The Digital Innovations Team (DigIT) is changing how Wizards develops, delivers, and manages the digital systems behind our games — for players, retailers, and the studios that develop our worlds. We are seeking a Principal Software Engineer who can guide product ideas through every stage with agentic AI — from defining the problem with business partners, to developing the system, to deploying it in production, and then improving it based on actual data. This role is hands-on. We need a creator who builds and ships with agentic AI. Someone who has directly shipped product to production by agentic AI, can provide the code and performance assessments, and can discuss in detail what was successful, what did not succeed, and what they would do differently. If you have built and shipped with agentic AI and want to keep building, we'd love to hear from you. You will be responsible for the technical direction of an initiative and the related product surface area, direct tech direction and product direction with or without Product Manager (PM) support. You are answerable for what the team delivers, how quickly it adapts, and the business outcomes that result. You will build products with agentic AI as your default approach, using the harness engineering and guardrails the team has developed and helping evolve them alongside peers. Your primary focus is shipping product, and you bring production-based judgment about evaluations, guardrails, cost, latency, determinism, and delivering AI products responsibly at scale. Location and Work Arrangement This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Guide product concepts through the entire process with agentic AI. Starting from outlining the problem alongside product and business collaborators, moving to prototype development, to a data-informed launch, and then refining based on actual usage data. You are responsible for the full journey, not only a segment of it. Build, hands-on with agentic AI. Keep close to the code. Deliver production-quality agent systems, analyses, prompts, and supporting services on your own. Set the standard for agentic AI development through delivered, working results rather than discussion. Direct the build process through data-driven insights. Lead product ideas as testable hypotheses. Start tracking early and confirm success criteria before coding begins, with or without PM support. Base decisions on actual data concerning what to prioritize, change, or remove. Ensure the feedback loop is as short as feasible. Contribute to the department's agentic AI harness engineering alongside peers. Apply, stress-test, and improve shared patterns — LLMs, agents, Skills, Model Context Protocol (MCP), eval frameworks, guardrails — through real production use. Bring back what works and what doesn't from the field. Raise the engineering bar on architecture, code review, test strategy, observability, evals, and incident quality. Treat engineering excellence as a baseline expectation, not an optional initiative. Provide technical leadership and influence both people and product decisions. Make your EM and PM more effective in their roles. Contribute to the hiring bar. Lead technical interviews, calibrate the AI-capability signal in our hiring loop, and mentor the next layer of senior and staff engineers. What You'll Bring Direct experience creating agentic AI systems. You have developed, deployed, and improved agentic systems in real-world settings, beyond demos or proofs of concept. You can describe the code you authored, the tests you designed, the prompt and tool usage changes you made, the cost and latency considerations you evaluated, the failure types you managed, and the metrics you used to choose the next release. Interviews will involve a hands-on agentic AI task. Over 10 years of full-stack software engineering experience. At least 3 years in a Tech Lead, Staff, or Principal role responsible for guiding the technical direction of a team or program. Product-engineer approach. You transform product ideas into operational, monitored, live software. You are comfortable prioritizing alongside PM or direct Product direction on your own, making product tradeoffs on the fly, and relying on metrics to guide iteration. You do not need a fully-detailed ticket to begin. Deep proficiency across the stack. Modern JavaScript / TypeScript and at least one of Go, Python, or C#. You write production code, not just review it. Strong systems and infrastructure foundation. AWS at scale, containerization, GitLab/GitHub CI/CD, PostgreSQL and data modeling, REST / gRPC / GraphQL API development, test automation, and a real point of view on observability and reliability. Architectural judgment. You can defend a build decision, change your mind when the evidence warrants it, and write the build doc that brings the rest of the team along. Business and product literacy. You can sit with a creative director, a retail partner, or a finance collaborator and have a conversation that is not purely technical. You can articulate business impact and tradeoffs without losing technical rigor. Outstanding communication and collaboration. You make engineers around you better. You raise standards without becoming a bottleneck. You handle disagreement directly and well. Bachelor's degree or equivalent experience. Computer Science, Information Technology, or comparable work experience. What Sets You Apart Experience leading or contributing to platform / horizontal services (search, notifications, identity, eventing, workflow, data platforms) consumed by multiple product teams. Experience with Product Lifecycle Management (PLM). Experience with Kubernetes, Akamai, Terraform, or equivalent infrastructure-as-code tooling. Experience operating in a tri-lead (Tech Lead (TL) / EM / PM) or similar matrixed engineering model. Foundational knowledge of Magic: The Gathering, Dungeons & Dragons, or the tabletop gaming space. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600 — $259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Задачи: — Развёртывание приложений в test / production — Развитие Infrastructure as Code — Мониторинг и логирование — Участие в диагностике и устранении production-инцидентов Требования: — 7+ лет опыта в DevOps / SRE / Platform Engineering — Сильный production-опыт с Kubernetes, Docker и AWS — Terraform, Crossplane, Helm / Helmfile — GitLab CI, ArgoCD / FluxCD / Fleet — Опыт с Service Mesh: Istio / Consul или аналоги — Grafana Stack, VictoriaMetrics — Опыт с PostgreSQL, SQL / NoSQL — Глубокое знание Linux и сетевого стека — Практический troubleshooting инфраструктуры и приложений — Bash / Python для автоматизации — Хороший рабочий English — Будет плюсом: DevSecOps, Ansible, Golang Условия: — Полная занятость

Условия и бонусы: Фултайм, удаленно (за пределами РФ). Наши ожидания: – Terraform, Ansible, Kubernetes, Helm. – AWS/GKE/AKS/DOKS/подобные. – Мониторинг и логирование. – Опыт администрирования и разворачивания различных CI/CD пайплайнов. – Знание методологии DevOps.

Требования: - Опыт работы от 4-5 лет; - Знание DevOps методологии, опыт поддержки процесса разработки ПО; - Опыт работы с Docker, Nginx; - Понимание и опыт работы с Kubernetes (понимание/создание Helm chart, Traefik, ingress); - Опыт конфигурации и уверенное владение Linux (RedOS, Astra); - Опыт конфигурирования БД (NoSQL/SQL) (Postgres, Qdrant, Redis, Tarantool и т.п.); - Опыт автоматизации CI/CD-процессов (GitlabCI и т.п.); - Понимание сетей, сетевых протоколов, принципов работы ОС; - Опыт использования систем управления конфигурацией и знакомство с Infrastructure as code (Ansible, terraform и т.п.); - Знание скриптовых языков (bash, python и т.п.); - Опыт настройки инструментов мониторинга (Prometheus, Grafana, Victoriametrics); - Опыт использования GenAI инструментов для выполнения рабочих задач; - Опыт настройки gitops инструментов (ArgoCD); - Опыт работы с облачной инфраструктурой (Ya cloud, VK Cloud, AWS); - Готовность к очному выезду к заказчикам в МСК, для внедрения продукта к закрытых контурах. - На текущий момент 60% клиентов в удаленном формате, а 40% onsite; - Практический опыт развертывания и эксплуатации Kubernetes в production; - Уверенное владение Kubespray — самостоятельное развертывание кластера с нуля, понимание работы архитектурных компонентов и их взаимодействия; - Опыт работы в закрытых (air-gapped) контурах без доступа к интернету; - Умение самостоятельно подготовить все необходимые пакеты, образы и зависимости для offline-развертывания; - Опыт установки и настройки сервисов в Kubernetes через Helm; - Умение дебажить и дорабатывать Helm-чарты «на лету» в процессе внедрения; - Уверенное знание Linux, Ansible, Terraform, Docker/Container Registry; - Навыки диагностики и устранения проблем Kubernetes, Helm, Linux; - Опыт внедрения решений у заказчиков; - Способность самостоятельно доводить внедрение от подготовки инфраструктуры до запуска и эксплуатации продукта; - Будем плюсом работа с VK Cloud и Openstack; - Также важен опыт работы с различными БД и Сервисами в Kubernetes: Kafka, ClickHouse, Postgres, Qdrant, Traefik, Opensearch, Nats, NACK; Обязанности: - Поддержка работоспособности и отказоустойчивости сервисов и компонентов платформы; - Автоматизация процесса подготовки окружений, тестовых сред, сборки и развертывания приложений; - Организация работы сервисов в облаке Условия: - Полный рабочий день; - Можно удалённо; - Оформление как ИП; - Зарплата от 220 000 до 240 000 рублей в месяц, гросс.

Требования: Инфраструктура и Cloud: — Опыт развертывания и настройки managed-кластеров Spark (Yandex Data Proc, Google Dataproc, AWS EMR). — Владение Terraform (или Ansible) для автоматизации инфраструктуры. — Настройка сетевого взаимодействия (VPC, VPN, Security Groups) между Greenplum и Spark. — Опыт работы с Docker и Kubernetes (если Spark запускается на K8s). Big Data стек: — Понимание архитектуры Greenplum и способов выгрузки данных (gpfdist, PXF, JDBC). — Знание архитектуры Spark (Driver, Executor, History Server), умение управлять ресурсами кластера. — Настройка оркестрации пайплайнов (Apache Airflow). — Работа с форматами данных (Parquet, ORC, Avro). Мониторинг и CI/CD: — Настройка мониторинга и логирования для Spark-джобов (Prometheus, Grafana, ELK). — Настройка CI/CD для деплоя Spark-приложений (GitLab CI, Jenkins). Языки и утилиты: — Python (PySpark) или Scala — для написания инфраструктурных скриптов и отладки. — Bash-скриптинг

Требования: — 3+ года коммерческого опыта с PHP 8.x. — Уверенный Laravel: Eloquent, очереди, политики, миграции, API Resources. — MySQL/SQL: проектирование, производительность, миграции данных. — REST API и OAuth 2.0. — PHPUnit/PEST, Git, code review, Docker. — Английский B2+ для ежедневной работы с командой из США. — Самостоятельное ведение задач от анализа до релиза. — Большой плюс: Salesforce: Apex, SOQL, Triggers, Flows, REST/Bulk API, интеграции. — Сертификаты Salesforce Platform Developer I/II. — Желательно: EdTech / K-12, OneRoster, Clever, Edlink, Google Classroom. — AWS (S3, RDS, SQS, Bedrock), Terraform. — Vue.js или React. Условия: — Удалённая работа.

Location: London, United Kingdom Workplace: fully About InvestEngine We're a London-based fintech on a mission to make ETF investing simple and accessible. Over 150,000 clients have trusted us with over £3.5 billion in assets — and we're just getting started. We've been featured by MoneyWeek, Finder and Forbes, and we're growing fast with big ambitions. About the role InvestEngine is growing fast, and so is our engineering team. That means more infrastructure to run, more services to keep healthy and more requests from the people who build on top of it. We're adding a Middle SRE / DevOps Engineer to the DevOps team to keep our cloud platform safe, observable and reliable day to day, and to make it a little better every week. You'll join a small, senior team, report to the DevOps Team Lead and get hands-on onboarding from experienced engineers. Our platform runs mainly on AWS, with some GCP. This is a hands-on role with no people management. It suits someone who cares what happens to a system after the change is shipped, not just whether the ticket is closed. What you'll do Run and maintain our cloud infrastructure, mainly on AWS (EC2, VPC, IAM, S3, Route 53, CloudFront), with some GCP. Carry out planned maintenance: OS patching, updates and upgrades, backup checks and audit checks. Verify that MySQL backups actually restore and that failover works — safely, without putting production at risk. Look after monitoring and logging in Grafana and ELK: tune alerts, cut noise and turn signals into action. Handle requests from developers, Operations and our managed service partner, including access and permissions. Automate repetitive work with Python and Bash, and manage configuration with Ansible and Terraform. Take part in incident response and follow-ups, and help prevent the same issue from happening twice. Grow into owning a defined part of our infrastructure end to end. Roughly 60% of your time goes to planned maintenance and improvements, and up to 40% to incoming requests. Coding is limited to infrastructure as code and automation scripts. Your first 3 months Weeks 1–2: onboarding, access and security training, runbook review, your first supervised low-risk change and shadowing incident response. Month 1: handle routine maintenance on your own and fix at least one documented operational gap. Months 2–3: own an agreed area of the infrastructure and ship at least one meaningful reliability, visibility or automation improvement. What we're looking for 3+ years of hands-on experience with cloud and Linux infrastructure in production (web products or similar). Practical AWS experience: you can operate and troubleshoot core services, networking and permissions. Confident with Docker: runtime, resources, logs and health checks. Experience with Ansible for repeatable, idempotent configuration. Monitoring and logging with Grafana and ELK — you know the difference between a signal and noise. Scripting in Python and/or Bash to automate operational work, with safety checks built in. MySQL in high-availability setups: backups, restores, replication and failover. A safety-first approach to production changes: plan, validate, roll back and escalate when needed. Ownership of what you run after it ships, plus clear written and spoken communication. English at B2 level or higher and fluent Russian . Availability during UK working hours, and readiness to help with rare out-of-hours incidents. You don't need an "SRE" job title. Strong Linux/UNIX administrators who meet these requirements are very welcome to apply. Nice to have Terraform (working with existing modules is enough; you won't need to build them from scratch). Kubernetes. GCP or other cloud providers. Understanding of CI/CD pipelines. Cloud security best practices. Zabbix. Experience in fintech or another regulated industry (not required). Our stack Cloud: AWS (EC2, VPC, IAM, S3, Route 53, CloudFront), some GCP Containers: Docker Config & IaC: Ansible, Terraform Observability: Grafana, ELK, Zabbix Data: MySQL (HA setups) Automation: Python, Bash What we offer Real impact early on: you'll own part of the platform that thousands of investors rely on. Room to grow towards Senior SRE, with support from experienced DevOps engineers. A say in how we run and improve our infrastructure. A modern cloud stack and time set aside for improvements, not just firefighting. Fully remote work with UK-hours overlap. Unlimited vacation. A friendly, supportive engineering team. Hiring process HR interview with the Talent team Gamified cognitive assessment Technical interview with the DevOps team Final conversation with the CTO

Location: Bengaluru, India We are looking for a DevOps Engineer to support the development and operation of cloud-based platforms built on AWS. You will be involved in designing, provisioning, and maintaining infrastructure using Infrastructure as Code, while collaborating closely with development and platform teams to ensure stable, scalable, and secure environments. This position is intended for Hyderabad-based candidates who are available to work from the office. The project focuses on building and evolving a cloud native platform on AWS that supports multiple applications and services across different environments. You will contribute to automation, reliability, and continuous improvement across infrastructure and deployment processes. Design and maintain cloud infrastructure on AWS using Terraform Manage and improve Infrastructure as Code practices across environments Support deployment and operation of applications in cloud environments Collaborate with development teams to enable reliable build and release processes Maintain and enhance CI CD pipelines Monitor cloud resources and support troubleshooting of infrastructure issues Implement security best practices including access control and secrets management Contribute to documentation of infrastructure and operational processes Participate in continuous improvement of DevOps standards and tooling 4+ years of experience in a DevOps or cloud engineering role Hands-on experience with AWS services in production environments Practical experience using Terraform for Infrastructure as Code Experience with CI CD tools and automated deployment pipelines Basic experience with container technologies such as Docker Familiarity with Linux-based systems and networking fundamentals Experience working in Agile or iterative delivery environments Ability to work with existing systems and follow defined operational processes Experience with Kubernetes or AWS ECS Exposure to monitoring and logging tools such as CloudWatch or Prometheus Experience with security and compliance related configurations in AWS Basic scripting experience using Bash or Python

Location: Mumbai, India We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role & Responsibilities The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable. Working for our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre, the role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders. Key reponsibilities will include: Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment. Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics. Build and optimise Delta tables and materialized views, with attention to performance at scale. Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts. Define job-specific compute configurations appropriate to each workload, balancing performance and cost. Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers). Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies. Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments. Operate autonomously across a workstream, from scoping through to production deployment. Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them. Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific. The Requirements Essential Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience. Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production. Demonstrated ownership of medallion architecture design and data modelling. Implemented data quality frameworks and data contracts in production. Implemented PII protection (masking, tokenisation or access tiering) across environments. Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services. Track record of autonomous delivery, including direct stakeholder engagement. Databricks Certified Data Engineer Associate (minimum). Desirable Databricks Certified Data Engineer Professional. Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions. Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway). Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards. Governance and identity patterns (e.g. Entra ID, RBAC scoping). Applying regulatory frameworks (e.g. GDPR) to data platform design. Shared service centre or global delivery model experience, ideally in energy or industrial services.

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd Cloud, Infra, Data & Security is growing fast, and our architecture leadership needs to keep up. We need someone who can take an unclear problem, define it, design the answer, and make sure it ships. You'll set technical direction across cloud, infrastructure, and data. You'll shape engagements and roadmaps before they're committed. And you'll stay close enough to delivery that what we design is what gets built. We operate AI-first: you'll use AI as a daily tool to move faster and multiply what you and the teams around you can deliver. There will be ambiguity. That's the job. The plans don't exist yet, and you'll help write them. WHY THIS ROLE, WHY NOW: - You'll help define the business, not inherit it. The Cloud BU is rapidly scaling. The patterns, standards, and team habits you set now become how we operate. - The scope is broad on purpose. It covers cloud foundations, Kubernetes platforms, data, and AI workloads, so you won't be boxed into one layer. - Decisions move quickly. You'll work directly with BU leadership, and decisions take days, not quarters. - The problems are current. The work is getting AI workloads into production safely, building data platforms that are governed, and keeping cloud spend under control. WHAT YOU'LL OWN: - Architecture direction. You'll define reference architectures, landing zones, and standards across AWS and Azure, Kubernetes, and infrastructure-as-code. You'll decide what we standardize and what we leave flexible. - Data and AI platforms. You'll design lakehouse and warehouse, streaming, and governance patterns. You'll also design the platform layer that moves GenAI and agentic workloads from prototype to production, covering access control, evaluation, observability, and cost guardrails. - Solution shaping. You'll lead technical discovery, size and de-risk the work, and write the solution designs and technical scope that teams commit to. - AI-accelerated delivery. You'll use AI tools across the architecture lifecycle: discovery synthesis, design drafts, IaC and code generation, review, documentation, and estimation. You'll turn what works into repeatable patterns and prompts the team adopts. You'll also set the guardrails for how AI is used with client and production data. - Security and compliance by design. You'll own IAM, network segmentation, secrets management, and logging. Your designs need to hold up to SOC 2, ISO 27001, and regulated-industry scrutiny without slowing delivery down. - Cost and operability. Every design ships with a run cost, reliability targets, an observability plan, and a rollback path. - Raising the bar. You'll run design reviews, mentor architects and senior engineers, and turn repeat solutions into reusable accelerators. WHAT YOU BRING: Have 12+ years in infrastructure, cloud, or data engineering, including several years as the accountable architect for production systems at scale. Have deep hands-on experience with AWS and/or Azure, production Kubernetes, and Terraform (or an equivalent IaC tool). You can still review a pull request credibly. - Have designed and shipped modern data platforms, such as [Databricks / Snowflake / Fabric / Redshift], including governance and data quality, not just pipelines. - Think security-first. IAM design, zero-trust networking, encryption, and audit readiness are defaults for you, not afterthoughts. - Use AI as a force multiplier, not a novelty. You can show concrete examples of AI shortening your delivery timelines or expanding your output. You also know where it fails, and you verify what it produces before anything reaches production. - Can explain a tradeoff to a CFO in the morning and debug it with an engineer in the afternoon. - Act under ambiguity. You write the first draft of the plan instead of waiting to be handed one, then adjust it as you learn. NICE TO HAVE - You've put GenAI or LLM systems into production (RAG, evaluation, guardrails, agent orchestration). - You have multi-cloud or hybrid experience at enterprise scale. - You've worked in regulated industries such as financial services, healthcare, or the public sector. - You hold AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA. These help but aren't required. - You've built an architecture practice or center of excellence from an early stage. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Belarus; Moldova; Serbia; Armenia; Kyrgyzstan; Montenegro; Uzbekistan; Czech Republic; Estonia; Portugal; Georgia; Dubai; France; Greece; Poland Workplace: remote About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. We're looking for a Junior Cybersecurity Specialist to join our Security Team. This role sits within the engineering direction of our cross-functional Security team, focused on identifying and helping mitigate security issues, misconfigurations, and vulnerabilities related to corporate infrastructure. In this role, you'll work closely with infrastructure teams (Admins, NOC, OPS, IT Compliance) and business employees who require security-related help. We work in Agile (2-week sprints, grooming, planning, retro) and use Google Meet, Slack, TargetProcess and Confluence for teamwork. Working hours: Business hours, EET/EEST time zone. You'll work with a modern stack and grow within the company - including cloud and hybrid infrastructure, and AI applied to real security work. Tech Stack: Splunk, CheckPoint, Rapid7, AWS, OpenStack, Gitlab, K8s, Terraform, Ansible, Python, Linux, Windows, macOS. Tasks Proceed with requests and notifications related to the security (access management, security tool notifications, vulnerability assessment, etc.); Identify and help mitigate security issues, misconfigurations, and vulnerabilities related to corporate infrastructure; Develop, implement new, and update existing security measures for the protection of corporate infrastructure; Support the identity and access management process; Formation of a knowledge base for the operation of products and services; Assist the security analytics with the incident response process; Collaboration with the Ops and Infrastructure teams in terms of asset security. Requirements 1+ year of experience in server administration, network engineering, site reliability engineering, infrastructure security, cloud security, or systems engineering; Knowledge of the Linux, Windows, and Mac operating systems and common OS hardening practices; Technical knowledge of network protection and network Device Hardening; Automation skills (Bash, Python); Understanding how computer attacks occur; Passion for developing in cybersecurity; Ability to work in a team, listen, and learn independently; Competent written and verbal communication skills (Russian C1 and English B1); Have a good analytical mindset for problem-solving. Nice to have Background in cybersecurity; Experience using AI tooling for technical/cybersecurity tasks; Experience in vulnerability analysis; Experience with infrastructure-as-code (Terraform, Ansible, Chef, etc.); Understanding the tactics and techniques of intruders and how to defend against them. We offer Full-time remote work (service provider contract). Competitive compensation (EUR). Flexible working hours. Corporate AI subscriptions (Claude, Gemini, GPT, etc.). Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency. A strong team of engineers. Positive and friendly atmosphere. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Ищу Senior DevOps Engineer в международную fintech-компанию, развивающую инфраструктуру и технологии для FX/crypto-продуктов. Задачи: — развитие production-инфраструктуры — развитие Kubernetes-среды — развитие CI/CD и GitOps-процессов — мониторинг и troubleshooting production-инцидентов Требования: — 7+ лет в DevOps / SRE / Platform Engineering — сильный production-опыт с Kubernetes и AWS — опыт с Terraform, GitOps, Linux, networking — хороший рабочий английский Плюсом: — DevSecOps — Ansible — Golang Условия: — компенсация обсуждается индивидуально, ориентируемся на ожидания кандидата География: весь мир Язык: английский, уровень хороший рабочий