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E2B is looking for a Backend Software Engineer Enterprise to develop and operate Go-based orchestration services and reliable deployment workflows for customer cloud environments.

Location: India ubject Matter Expert - Infrastructure as Code & DevOps Automation Position Summary We seek an experienced IT Automation Specialist to lead infrastructure automation initiatives across our enterprise environment. As a subject matter expert, you will design, implement, and maintain scalable automation solutions using industry-leading tools including Terraform, OpenTofu, Ansible, AWX/Tower, and advanced DevOps platforms. This role combines hands-on technical expertise with strategic thinking to drive infrastructure modernization and operational efficiency. Key Responsibilities Design and implement Infrastructure as Code (IaC) solutions using Terraform and OpenTofu for cloud and on-premises infrastructure provisioning Develop and maintain Ansible playbooks and roles for configuration management, application deployment, and system patching across heterogeneous environments Architect and optimize Ansible Tower/AWX implementations for enterprise-scale automation, including RBAC, credential management, and workflow orchestration Lead adoption of agentic AI capabilities to automate decision-making processes and reduce manual operational overhead Establish the best automation practices, standards, and frameworks; conduct code reviews for infrastructure automation projects Troubleshoot and resolve complex automation issues; provide technical documentation for knowledge transfer to other teams Integrate automation solutions with CI/CD pipelines, monitoring systems, and ticketing platforms Document technical architecture, runbooks, and operational procedures for all automation systems Evaluate and recommend new automation tools and technologies that improve efficiency and reduce operational risk Collaborate with cross-functional teams (Cloud, Infrastructure, Security) to embed automation across IT operations Requirements Required Qualifications 5+ years of IT infrastructure and systems administration experience Expert-level proficiency with Terraform and/or OpenTofu; demonstrated ability to manage complex infrastructure states Advanced expertise in Ansible; proven experience in designing and maintaining Ansible Tower or AWX in production environments Strong Python programming skills; ability to write custom modules, plugins, and automation scripts Deep understanding of DevOps principles, CI/CD pipelines, and infrastructure-as-code best practices Experience with public cloud platforms (Azure, GCP) and hybrid/on-premises infrastructure Knowledge of version control systems (Git) and collaborative development workflows Strong troubleshooting and problem-solving abilities with demonstrated experience resolving production incidents Excellent communication skills; ability to translate complex technical concepts for non-technical stakeholders Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience Preferred Qualifications Hands-on experience implementing and managing agentic AI solutions for IT operations automation Experience with advanced Ansible Tower features (workflows, dynamic inventory, LDAP/SAML integration) Familiarity with configuration management databases (CMDB) and ServiceNow integrations Knowledge of GitOps methodologies and tools (ArgoCD, Flux) Certifications such as HashiCorp Certified Terraform Associate, Ansible Specialist, or equivalent cloud/infrastructure certifications Open-source project contributions or demonstrated thought leadership in the infrastructure automation community Technical Skills Matrix IaC: Terraform, OpenTofu, CloudFormation | Expert Config Management: Ansible, Ansible Tower, AWX | Expert Agentic AI: LLM orchestration, AI-driven automation, prompt engineering | Intermediate+ Languages: Python, Bash, Go, HCL, PowerShell | Advanced Cloud: AWS, Azure, GCP, hybrid infrastructure | Advanced Languages: Python, Bash, Go, HCL, PowerShell | Advanced Why This Role Matters Automation is at the heart of our IT modernization strategy. In this role, you'll drive repeatability, reduce manual toil, and enable self-service capabilities across our infrastructure. You'll work with cutting-edge technologies including emerging agentic AI solutions, and your expertise will directly impact how efficiently we deliver infrastructure services to our clients. Equal Opportunity Statement We are an equal opportunity employer committed to fostering an inclusive, supportive workplace free from discrimination. We celebrate diversity and are dedicated to creating an environment where all employees feel valued and respected

Location: Brazil; Argentina; Colombia; Mexico; Chile; Costa Rica Subject Matter Expert - Infrastructure as Code & DevOps Automation Position Summary We seek an experienced IT Automation Specialist to lead infrastructure automation initiatives across our enterprise environment. As a subject matter expert, you will design, implement, and maintain scalable automation solutions using industry-leading tools including Terraform, OpenTofu, Ansible, AWX/Tower, and advanced DevOps platforms. This role combines hands-on technical expertise with strategic thinking to drive infrastructure modernization and operational efficiency. Key Responsibilities Design and implement Infrastructure as Code (IaC) solutions using Terraform and OpenTofu for cloud and on-premises infrastructure provisioning Develop and maintain Ansible playbooks and roles for configuration management, application deployment, and system patching across heterogeneous environments Architect and optimize Ansible Tower/AWX implementations for enterprise-scale automation, including RBAC, credential management, and workflow orchestration Lead adoption of agentic AI capabilities to automate decision-making processes and reduce manual operational overhead Establish the best automation practices, standards, and frameworks; conduct code reviews for infrastructure automation projects Troubleshoot and resolve complex automation issues; provide technical documentation for knowledge transfer to other teams Integrate automation solutions with CI/CD pipelines, monitoring systems, and ticketing platforms Document technical architecture, runbooks, and operational procedures for all automation systems Evaluate and recommend new automation tools and technologies that improve efficiency and reduce operational risk Collaborate with cross-functional teams (Cloud, Infrastructure, Security) to embed automation across IT operations Requirements Required Qualifications 5+ years of IT infrastructure and systems administration experience Expert-level proficiency with Terraform and/or OpenTofu; demonstrated ability to manage complex infrastructure states Advanced expertise in Ansible; proven experience in designing and maintaining Ansible Tower or AWX in production environments Strong Python programming skills; ability to write custom modules, plugins, and automation scripts Deep understanding of DevOps principles, CI/CD pipelines, and infrastructure-as-code best practices Experience with public cloud platforms (Azure, GCP) and hybrid/on-premises infrastructure Knowledge of version control systems (Git) and collaborative development workflows Strong troubleshooting and problem-solving abilities with demonstrated experience resolving production incidents Excellent communication skills; ability to translate complex technical concepts for non-technical stakeholders Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience Preferred Qualifications Hands-on experience implementing and managing agentic AI solutions for IT operations automation Experience with advanced Ansible Tower features (workflows, dynamic inventory, LDAP/SAML integration) Familiarity with configuration management databases (CMDB) and ServiceNow integrations Knowledge of GitOps methodologies and tools (ArgoCD, Flux) Certifications such as HashiCorp Certified Terraform Associate, Ansible Specialist, or equivalent cloud/infrastructure certifications Open-source project contributions or demonstrated thought leadership in the infrastructure automation community Technical Skills Matrix IaC: Terraform, OpenTofu, CloudFormation | Expert Config Management: Ansible, Ansible Tower, AWX | Expert Agentic AI: LLM orchestration, AI-driven automation, prompt engineering | Intermediate+ Languages: Python, Bash, Go, HCL, PowerShell | Advanced Cloud: AWS, Azure, GCP, hybrid infrastructure | Advanced Languages: Python, Bash, Go, HCL, PowerShell | Advanced Why This Role Matters Automation is at the heart of our IT modernization strategy. In this role, you'll drive repeatability, reduce manual toil, and enable self-service capabilities across our infrastructure. You'll work with cutting-edge technologies including emerging agentic AI solutions, and your expertise will directly impact how efficiently we deliver infrastructure services to our clients. Equal Opportunity Statement We are an equal opportunity employer committed to fostering an inclusive, supportive workplace free from discrimination. We celebrate diversity and are dedicated to creating an environment where all employees feel valued and respected

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a hands on Middle MLE Infrastructure Engineer to strengthen a shared Data and AI platform. You will focus on execution across CI/CD standards, cloud resource management, identity and access security, observability, and reliable deployments that support other teams. The Shared Services Platform organization builds and operates the core environment for Data and AI products. You will work on a platform that standardizes CI/CD, security, observability, and cloud resource management so product squads can deliver on reliable infrastructure. Define and maintain homogeneous CI CD standards and pipelines for data and AI across teams. Manage cloud resources, capacity, and cost through provisioning, autoscaling, and optimization. Own identity and access management and centralized credential governance. Automate security policies through infrastructure as code and SecOps practices. Run vulnerability scanning and incident response playbooks. Build observability through metrics, dashboards, and proactive alerting for platform and products. Ensure reliable versioning and deployment standards across the platform. Act as a platform enabler for product squads on environment and product infrastructure. Proven experience as a Platform Engineer, DevOps Engineer, or MLOps Infrastructure Engineer. Experience with infrastructure as code using Terraform and configuration automation. Experience with Docker, Kubernetes, and autoscaling. Experience with CI CD tooling such as GitHub Actions and GitLab CI. Experience with Git workflows including GitFlow. Experience with Google Cloud Platform resource management, GCP IAM, billing, and cost control. Experience with observability tools such as Prometheus, Grafana, Datadog, or similar monitoring solutions. Experience with IAM, vulnerability scanning, data masking, and policy management. Ability to communicate effectively with technical and non technical stakeholders. Experience working in Agile environments. Fluency in Spanish. Exposure to MLOps platforms, model registry, and model serving infrastructure. Experience with FastAPI or Flask. Familiarity with BigQuery, pipelines, and lakehouse or warehouse environments. Familiarity with GenAI tooling such as LangChain and Agents.

Location: Egypt ABOUT CINCOM Cincom builds and supports enterprise software used by organisations across EMEA, with three main product lines: CPQ, Eloquence (customer communications management) and Smalltalk. Our customers run our products on their own infrastructure and, increasingly, hosted and managed by Cincom in the cloud. We are reorganising engineering, delivery and support so customers get one consistent, well-run service whatever they buy and however it is deployed. PURPOSE OF THE ROLE You will run Cincom’s hosted customer estate day to day, making sure every hosted customer gets a secure, reliable and cost-controlled service. You will manage our cloud services for those customers, build and configure their environments to our reference designs, and work closely with our Kubernetes Engineer, who will move into your team once the structure is finalised. Hosted Services is part of our new Support function, which is building a professional 24/7 service across all our products. You will work closely with the Principal Infrastructure Architect, who owns the reference designs and sizing, and with the product DevOps teams. KEY RESPONSIBILITIES Run the hosted estate Own the day-to-day operation of hosted customer environments: patching, backups, monitoring, capacity and change. Act as the senior escalation point for hosting incidents, and drive them to resolution with the product teams where needed. Run disaster recovery tests on schedule and fix what they find. Keep runbooks and operational documentation current. Cloud services and cost Manage our cloud subscriptions and services for hosted customers, mainly Azure. Track and control cloud spend for each customer, and flag cost or capacity issues early. Manage reserved capacity, renewals and cloud provider support cases, working with the Principal Infrastructure Architect and Finance on commercial decisions. Build and configure Build and configure new customer environments to approved reference architectures, using infrastructure as code. Work with the Kubernetes Engineer to run and improve our container platform. Set up test environments, and support the Principal Infrastructure Architect and product teams in performance-testing configurations for hosted and on-premise deployments. Customers Be the technical contact for hosted customers on their environment, availability and service levels. Report on availability, incidents and performance against hosting service levels. Onboard new hosted customers smoothly, working with Delivery and Client Success. Lead and improve Lead and develop the Kubernetes Engineer once the Hosted Services structure is finalised. Until then, the Kubernetes Engineer sits in the Eloquence product engineering team and you will work closely with them. Automate repetitive work, and improve monitoring and alerting. Provide evidence and controls for ISO 27001 and SOC 2 certification, working with our process and compliance lead. Requirements Essential Several years running production customer environments in Azure, at a software vendor or managed service provider (AZ-104 or equivalent level). Hands-on infrastructure as code, using Terraform, Bicep or similar. Working experience with Kubernetes and containers, ideally Azure Kubernetes Service. Strong Windows and Linux server administration, plus relational databases (for example SQL Server, Oracle or PostgreSQL). Backup, disaster recovery and monitoring tooling in practice, not just in theory. Comfortable talking to customers about their service, and calm under incident pressure. Able to work effectively as part of a remote team spread across time zones. Desirable Experience of performance or load testing tools. Cloud cost management or FinOps experience. Experience in an ITIL-based support organisation, and in ISO 27001 or SOC 2 environments. Some experience leading or mentoring an engineer. WHAT SUCCESS LOOKS LIKE IN THE FIRST 12 MONTHS Hosting service levels met and reported to every hosted customer. Patching and backups on schedule across the estate, with disaster recovery tested and documented. Cloud spend known for each customer, with no surprises. New customer environments built through infrastructure as code, to reference designs. Fewer repeat incidents, and runbooks the wider Support team can use. Benefits Independent Contractor (Contractor is responsible for applicable taxes and statutory obligations, subject to the agreement and local law) Full-time role Availability for occasional short travels Payment in USD Equipment provided by the company Contractor fee range - $2,500–$3,500 USD per month Equal Opportunity Employer PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. AI Use Disclosure During our recruitment process, we may use technology, including AI-assisted tools, to support application review or scheduling. These tools support our recruiting team and do not replace human decision-making. Where required, candidates will receive additional information about the tool and applicable rights. This job posting is for an existing vacancy.

Location: Kazakhstan; Azerbaijan; Uzbekistan; Moldova; Tajikistan; Armenia Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a On-Call Infrastructure Engineer (DevOps) to join our team and provide exceptional customer support. About the client Our client develops software products across various business domains, including education, healthcare, business management, sports, and marketing. Engagement details This engagement involves occasional support, with only a few hours of active work expected per month in most cases. It can suit an engineer who already has a primary engagement and can combine it with on-call availability. Availability during an agreed coverage window of approximately 12 hours per day, aligned with the CET time zone Monitor email and alerts throughout the coverage window Acknowledge incoming incidents or requests within 30 minutes and confirm that they have been taken into work Begin troubleshooting and resolution promptly Only time spent actively working on incidents or requests is paid; standby time is unpaid Responsibilities Investigate and resolve production infrastructure incidents Troubleshoot AWS, Linux, Docker, and MySQL environments Diagnose and resolve MySQL replication issues Restore service availability and document resolution steps Perform root cause analysis where required Responsibilities Investigate and resolve production infrastructure incidents Troubleshoot AWS, Linux, Docker, and MySQL environments Diagnose and resolve MySQL replication issues Restore service availability and document resolution steps Perform root cause analysis where required Requirements AWS EC2 administration CloudWatch Linux administration, particularly Ubuntu Docker and Docker Compose MySQL administration MySQL replication troubleshooting Production incident response On-call support experience Application Load Balancers CloudFront Strong operational troubleshooting skills Strongly Preferred Terraform Packer Percona PMM PagerDuty Site24x7 Backup and recovery operations Root Cause Analysis (RCA) AWS infrastructure troubleshooting Nice to Have Java application troubleshooting PHP application troubleshooting Prometheus Grafana Datadog New Relic High-availability MySQL design Observability architecture

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a DevOps Engineer to join our team and help build scalable, secure infrastructure for a global provider of technology and digital merchandising solutions. In this role, you’ll work across cloud and distributed Linux environments, manage CI/CD pipelines using GitLab, and develop robust monitoring capabilities for cloud systems and IoT devices. You’ll apply DevOps best practices, drive infrastructure automation, and collaborate with engineering teams to support reliable, efficient software delivery. 🟩 What's in it for you: Join a global technology company delivering digital merchandising solutions across 50+ markets Work on complex infrastructure spanning cloud services, distributed Linux systems, and IoT devices Tackle hands-on challenges in CI/CD, infrastructure automation, and observability using modern DevOps tools ✅ Is that you? 4+ years of DevOps/SRE experience, with strong AWS and Linux systems engineering skills 2+ years of experience supporting product-focused engineering teams Strong GitLab CI/CD skills, including pipeline management and workflow automation Hands-on experience supporting large-scale distributed Linux systems Proficiency with Terraform, Docker, Kubernetes, and cloud platforms Strong scripting skills in Bash, Python, Go, or similar languages Familiarity with IoT device management and observability tools like Sumo Logic, New Relic, or CloudWatch Experience designing resilient IoT observability and edge-device monitoring solutions Experience with architectures combining microservices and serverless functions Experience evaluating and adopting DevOps tools, with a strong understanding of IaC, automation, and templating Strong systems thinking, commitment to security and observability, and the ability to lead incident response and continuous improvement Desirable: Experience with Ubuntu Linux 🧩 Key responsibilities and your contribution In this role, you’ll help develop, operate, and improve critical infrastructure. Build, maintain, and optimize GitLab CI/CD pipelines for reliable, efficient software delivery Design and manage scalable AWS infrastructure for distributed Linux environments Build and support observability solutions, including real-time monitoring and alerting for IoT devices Implement infrastructure as code (IaC) to create reproducible, scalable environments Help maintain high availability across distributed Linux systems Collaborate with engineering teams to strengthen DevOps practices and drive platform improvements Research best practices and evaluate DevOps tools to recommend solutions that meet business needs Provide technical guidance to clients, internal stakeholders, and less experienced team members Lead incident response and continuous improvement efforts Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: USA Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About the role Flex is looking for a Staff Software Engineer to build and scale our Fraud and Payment Risk Platform . You will lead the architecture and hands-on development of backend services and shared infrastructure for fraud prevention and payment risk decisioning. The platform combines real-time, near-real-time, and offline/batch-computed risk features with business rules, machine learning model outputs, and experimentation. You will make these capabilities reliable, scalable, and observable, enabling teams to develop, validate, and launch risk strategies faster and more safely. This is a hands-on backend and platform role with technical ownership from architecture through production. You will collaborate with product, risk policy, data science, and engineering teams to turn risk strategies into reusable platform capabilities. Your scope includes feature ingestion and integration, user acceptance testing (UAT), experimentation, and engineering infrastructure supporting the full machine learning (ML) lifecycle—from development and validation workflows through deployment, serving, and production monitoring—in partnership with data scientists who own model research and training. What you’ll do Lead backend architecture and development for the Fraud and Payment Risk Platform, including decisioning services, APIs, and shared infrastructure for evolving business needs. Design for scalability, performance, and reliability , balancing latency, throughput, availability, data consistency, and cost. Build capabilities for feature ingestion, integration, and serving , supporting real-time, near-real-time, and offline/batch-computed features with attention to freshness, correctness, and availability. Develop infrastructure for rules and experimentation , enabling teams to configure and version risk strategies, perform user acceptance testing (UAT), evaluate changes, and safely roll them out. Own engineering infrastructure across the ML lifecycle , supporting development and validation workflows, deployment, inference, versioning, safe rollouts, rollback, and integration of model outputs into risk decisions. Own monitoring and alerting across the platform , covering service health, feature freshness and quality, rule and experiment execution, and model inference. Partner with risk policy and data science teams to monitor model behavior and decision outcomes. Improve platform extensibility and usability , so teams can add features, rules, models, and experiments without duplicating infrastructure or tightly coupling systems. Drive complex initiatives from design through production , including technical design proposals, hands-on implementation, performance testing, migration planning, and cross-team coordination. Raise the engineering bar through design and code reviews, mentorship, and improvements to testing, documentation, deployment safety, and operations. Our backend stack includes Java, Spring Boot, Python, and AWS . Qualifications Minimum qualifications 6+ years of professional software engineering experience, including substantial experience building and operating backend systems in production. 5+ years of hands-on Java experience, including building services with Spring Boot. Experience leading the architecture and delivery of complex distributed systems or shared backend platforms. Strong understanding of API design, service integration, data modeling, caching, and distributed-system failure modes. Experience diagnosing performance bottlenecks and improving scalability and reliability through measurement, testing, and production troubleshooting. Experience with cloud infrastructure, containerized deployments, and relational and NoSQL data stores. Experience establishing observability, monitoring, and alerting for production systems. Ability to lead technical decisions across teams, communicate architectural trade-offs clearly, and mentor other engineers. Preferred qualifications Experience building risk platforms, decision engines, or fraud/payment risk systems is a plus, though risk-domain experience is not required Experience with feature platforms, configurable rules engines, experimentation infrastructure, or production model-serving systems. Experience building shared platforms that other engineering or risk teams adopt and operate independently. Familiarity with AWS services such as EKS, Aurora, ElastiCache, and DynamoDB. Experience with infrastructure as code and CI/CD automation using tools such as Terraform, CDK, and GitHub Actions. Familiarity with tools such as Datadog for observability and Snowflake for analytics. Compensation Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks. Tier 1 (NYC/Bay Area, Los Angeles, Seattle) $200,000 — $250,000 USD Tier 2 (Austin, Washington D.C. Philadelphia, San Diego, Chicago, Atlanta) $180,000 — $225,000 USD Tier 3 (Salt Lake City, all other USA cities) $170,000 — $212,500 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Engineering Manager Role Overview We are seeking an Engineering Manager to lead the development of internal tooling and quality-control systems that power AI training workflows. This role is ideal for a leader who enjoys working across application development, infrastructure, and applied AI. You will be part of a rapidly growing team solving complex problems in AI systems, working in a startup-paced environment with high expectations and short timelines. The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of shipping production systems, and is excited by the intensity of a fast-paced, ambiguous environment rather than looking for stable, predictable work. Key Responsibilities Tooling and Platform Development: Build scalable platforms supporting data creation, annotation, evaluation, review, and delivery. Design and implement APIs, internal applications, and developer tooling that enable efficient workflows. Develop maintainable, well-tested code that scales with growing demands. Quality and Efficiency: Improve dataset quality, task validation, model evaluation, and production efficiency. Build and iterate on evaluation frameworks that ensure quality and reliability of AI training outputs. Collaborate with research and domain experts to translate requirements into practical solutions. Architecture and Standards: Own architecture, technical delivery, reliability, security, and engineering standards. Design and implement data pipelines for dataset creation, annotation, and delivery at scale. Contribute to technical design and architecture decisions that balance speed, quality, and maintainability. Leadership and Mentorship: Mentor engineers and establish strong design, testing, and release practices. Partner with Operations, Product, and AI specialists to identify bottlenecks and deliver pragmatic solutions. Lead teams through urgent, high-pressure delivery schedules while maintaining quality and engineering excellence. Technical Skills Web Development - Node.js, React, NestJS, Next.js, Express Python Engineering and Data Science - FastAPI, NumPy, Jupyter notebooks. Proficiency in large-scale data generation and data pipeline orchestration. Frameworks like Spark, Beam, or Dataflow preferred. Statistical analysis, data visualization, and data manipulation. Infrastructure - Kubernetes, Docker, Pulumi, Terraform, infrastructure-as-code AI Engineering - LangChain, LiteLLM, RL Gyms, LoRA and fine-tuning, AI agents, and Harbor Quality Systems - Dataset validation, evaluation frameworks, automated testing, and QC tooling Qualifications Strong software engineering fundamentals with a proven track record of shipping production systems. Experience leading teams effectively in fast-paced, ambiguous environments. Demonstrated ability to balance speed, quality, scalability, and maintainability in technical decisions. Strong debugging, problem-solving, and communication skills with cross-functional teams. Interest in the evolving challenges of training and evaluating AI systems. What Success Looks Like You lead a team that ships high-quality solutions enabling AI training workflows. You can identify technical bottlenecks, design pragmatic solutions, and guide your team to implement them reliably. You're energized by working across the full stack from infrastructure to application code, and you're excited about the technical challenges of building evaluation and quality-control systems for AI at scale while developing strong engineers. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Run AWS infrastructure as code, with AI in the loop. Manage AWS infrastructure through Terraform using our pull-request-based GitOps workflow, and resolve configuration drift across regions.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. The STEM Horizontal team produces the high-signal coding and STEM data frontier labs train on. We're looking for a Research Engineering Manager to lead the research engineering behind its next layer: synthetic data that measurably improves models, and new benchmarks that measure what today's evals miss. You'll lead a team of research engineers, work side by side with research scientists, and stay close enough to the code to review an eval harness line by line or prototype a generator yourself when the team needs it. You'll also build the team : hiring research engineers is a core part of this role, not a side task. Ideally you've been on the other side, at a frontier lab, and know what makes a lab trust a dataset or a benchmark result. Synthetic data that earns its place. Generation, verification, and filtering pipelines where every sample is checked, and where we can show which properties of the data drive downstream gains, not just how much of it we made. Benchmarks that stay meaningful. New evaluations for capabilities current benchmarks miss, built with calibrated difficulty, contamination controls, and statistics strong enough that a lab can make a decision on the result. Quality failures here are quiet. A subtle bug in a verifier doesn't crash anything; it ships thousands of wrong labels into someone's training run and costs weeks. If you want to build the team and the systems that catch that early, this is the seat. What You'll Do 1. Build and Lead the Team Build the team: define the profiles you need, run hiring, and grow research engineers selected for research taste as much as engineering rigor. Run the team's operating rhythm: project selection, planning, experiment reviews, design docs, and clear ownership. Coach engineers on experimental design, code quality, and presenting results; give direct, regular feedback and run fair performance cycles. Define the standards the team works to: eval methodology, data quality bars, and reproducibility — every dataset and result can be regenerated from a commit, a config, and a seed. 2. Partner with Research Scientists Turn hypotheses into experiment plans together: what we're testing, the baseline, the ablations, and the result that would change our minds. Set the agenda with research scientists. You're expected to bring your own hypotheses, not only implement theirs. Take research prototypes to production scale without losing the scientific intent. 3. Build Synthetic Data Systems at Scale Own synthetic data pipelines that generate, verify, filter, deduplicate, and version data, combining programmatic generators, LLM-based generation, automated verifiers, and targeted expert review. Judge data by its effect on models : ablations and fine-tuning or RL experiments that show which attributes (difficulty, diversity, correctness, coverage) drive gains. Build quality systems that hold up at volume: gold sets, LLM-judge calibration against expert labels, sampling audits, and agreement metrics. 4. Create New Benchmarks and Evaluations Find where frontier models fail and where existing benchmarks have saturated, and design evaluations that measure what's missing . Own benchmark methodology end to end: task taxonomy, difficulty calibration, graders and verifiers, contamination controls, held-out splits, and confidence intervals. Ship eval harnesses , including agentic and sandboxed-execution evals, that are deterministic, reproducible, and trusted by internal teams and partner labs. Make the call on whether a result holds up: partner labs and internal teams act on your sign-off. Publish benchmarks, datasets, and findings with our research scientists at venues such as NeurIPS, ICML, and ICLR. 5. Stay Hands-On and Work with Frontier Labs Write code every week on the hardest, highest-leverage parts: core verifier logic, eval statistics, the pipeline component everything else depends on. Expect a third or more of your time on direct technical work. Be the person the team brings its hardest debugging and methodology questions to: why a judge disagrees with experts, why an eval number moved, whether a gain is real or noise. Act as a technical counterpart to researchers at frontier AI labs: scope requests, set acceptance criteria, and explain results and trade-offs plainly. Partner with Strategic Project Leads, delivery, and engineering teams so research advances land in client work and in the platforms the team builds. Sample Projects Identify a capability gap, design and ship a benchmark for it, and see it adopted by partner labs. Stand up a synthetic data pipeline for long-horizon coding tasks with execution-based verifiers, and run the ablations that show which task properties drive RL gains. Calibrate an LLM-judge grading system against expert labels, map where it fails, and decide where humans stay in the loop. Design the experiment that tells a partner lab whether a two-point gain on their eval is real. Decide which of three competing synthetic data approaches the team should bet on, and design the experiments that settle it. Tech Stack Research: Python · PyTorch or JAX · SFT · DPO · PPO / GRPO · RL with verifiable rewards Evals & data: LLM-as-judge · programmatic verifiers · sandboxed execution · gold sets · contamination checks Platform: Python services (Django / FastAPI) · PostgreSQL · Docker · Terraform · AWS or GCP What We're Looking For Experience: 8+ years of hands-on ML or research engineering, at least 5 in industry, including 3+ years directly managing research engineers, ML engineers, or researchers (hiring and performance management included). Synthetic data at scale: you've owned synthetic or curated data pipelines in production whose output drove training decisions , and can show how you measured their quality and downstream impact. Evaluation rigor: you've designed and shipped LLM evals or benchmarks that others used to make model decisions, and understand contamination, saturation, judge bias, inter-annotator agreement, variance, and confidence intervals. Experimental judgment: you plan ablations up front, choose baselines honestly, and can tell a real effect from noise. Technical depth: strong Python; production experience with PyTorch or JAX; working knowledge of the post-training stack (SFT, DPO, PPO/GRPO, RL with verifiable rewards). Technical direction: a track record of setting direction for a team, not only executing a roadmap handed to you. Scale: distributed data processing and large evaluation or training jobs (e.g., Ray, Spark, Kubernetes) on AWS or GCP. Communication: clear written communication for scientists and non-specialists alike; comfortable presenting results to researchers at partner labs. AI-forward: daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you ship, with the judgment to review their output critically. This is a must-have. Education: PhD or Master's degree in AI, machine learning, computer science, statistics, or a closely related field; PhD preferred. Exceptional equivalent research experience will also be considered. We weigh industry outcomes most heavily. Strongly Preferred Frontier AI lab experience: post-training data, evals, or reward modeling at a frontier lab (e.g., OpenAI, Anthropic, Google DeepMind, Meta, xAI) or a top industry research group. Built or contributed to a public benchmark or dataset the community uses. Nice to Have First-author papers at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar. RL environment and verifier design for agentic tasks: coding agents, tool use, computer use, long-horizon workflows. Data valuation or attribution: measuring what each slice of data contributes to a model. Depth in a STEM domain such as math, physics, chemistry, or biology (not required). Experience managing tech leads or managers, or running several concurrent programs. Directing large expert networks through specs, rubrics, and fast feedback loops. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training, evaluation, and synthetic data. Build the datasets and benchmarks that improve and measure the capabilities of advanced AI systems. Shape how frontier labs measure progress on coding and STEM reasoning. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation $260,000 to $350,000 + Equity Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: New York, New York; Austin, Texas; Dallas, Texas; Boston, Massachusetts; Raleigh, North Carolina Workplace: Remote ROLE SUMMARY The Senior Developer Success Engineer will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience. Location: Must reside in the Eastern Time Zone. WHAT YOU'LL DO Be a keen learner: - At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases. - Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. Be a passionate problem solver: - If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. - You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale. - Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way! Be a great communicator: - As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. - Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test). - You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. WHAT YOU'LL BRING - 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. - Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). - Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. - Minimum of one year experience in an internal or external customer-facing role. - Passion for helping others regardless of who they are or how they act. - Experience working with or as part of remote teams. - Strong written and verbal communication skills. - Seek to understand first, lead with data, and rely on facts. NICE TO HAVE - Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. - Experience with security certificate management and implementation. - Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. - Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; United Kingdom; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Bitnomial is building the next generation US-based global derivatives exchange, starting with digital assets and progressively expanding to encompass a full spectrum of commodities worldwide. Bitnomial operates a US CFTC regulated exchange (DCM), clearinghouse (DCO), and brokerage (FCM). It offers a range of crypto-settled derivatives, including futures, options, and a suite of live perpetual futures, used by brokers, hedge funds, institutions, and trading firms around the world. Bitnomial's exchange, clearinghouse, and brokerage systems are written largely in Haskell. In this role you will build the services and data models that record every order, fill, and settlement at a CFTC-regulated exchange and clearinghouse, with the database as a first-class part of the design. You will build features across these systems and design the schema, queries, and migrations behind them.   THE OPPORTUNITY - Improve build and release pipelines in GitHub Actions: caching, parallelism, pinned toolchains, and required tests and scans before production - Manage AWS infrastructure as code with Terraform, and run services as containers on Nomad - Build deployment tooling with health checks and automated rollback, and make deploys safe around market sessions - Add metrics and alerts to the services you build, so you can see whether a deploy worked - Monitor systems, respond to alerts, and support daily operations such as settlement cycles - Fix the cause of production issues and write down what you learned - Build, test, and ship well-reviewed features and fixes in our services across the exchange, clearinghouse, and brokerage. Most of the code is Haskell - Understand the order, trade, clearing, and settlement flows end to end   WHAT YOU BRING - Hands-on experience with CI/CD pipelines, such as GitHub Actions or GitLab CI - Production experience with AWS and Docker, and infrastructure as code with Terraform - Strong Linux and scripting skills (Bash, Python, or similar) - 3+ years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++ - Solid computer science fundamentals, including distributed systems: failure modes, retries and idempotency, consistency, and how to observe them across services - Willingness to take part in on-call and operational shifts - Care and rigor with code that moves money - Good judgment with AI tools. You use them to work faster, and you read, test, and understand what they produce before you ship it - A habit of asking why before changing something - Sound judgment under pressure, with a calm and methodical approach when production is live - Collaboration across engineering, operations, risk, and compliance, with a habit of documenting   NICE TO HAVES - Financial knowledge or experience in trading, markets, or financial services - Bachelor's degree in computer science or a related field, or equivalent experience - Experience with Nomad or Kubernetes - Experience with Nix, Ansible, Vault, or Prometheus, Grafana, and Loki - Haskell experience Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: India - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: We’re looking for a Senior Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact. What you’ll do: Be the frontline agent: Triage, investigate, manage, and annihilate complex customer issues involving Chainguard Images. Escalate wisely: Engage the Engineering team when things get spicy. Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed. Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans. Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix. Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution. Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams. Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick. Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support. What we're looking for: You’ve spent 3+ years supporting enterprise customers with a confident, calm approach. 2+ years under your belt with Linux, Docker and Kubernetes.  You dream in containers. You deliver top-tier customer experiences with stellar written and verbal communication. You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more. You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff. Experience with AWS, Azure, or GCP; AWS EKS experience is a plus. Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning. Extra kudos if you bring CKA, CKAD, CKS or KCSA certs and aspire to be a future Kubestronaut. Startup experience? Even better.  You’ve navigated fast lanes before. A curious soul who learns faster than a caffeinated squirrel. You hold a bachelor’s degree (STEM preferred) or have equivalent battle scars from the real world. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Задачи: проверять веб-приложения по OWASP WSTG, готовить отчёты и рекомендации, разрабатывать и поддерживать инструменты для пентеста и Red Team, тестировать PoC. — опыт работы или практика в анализе защищённости веб-приложений.

Location: Canada - Remote; United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: We’re looking for a Senior Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact. What you’ll do: Be the frontline agent: Triage, investigate, manage, and annihilate complex customer issues involving Chainguard Images. Escalate wisely: Engage the Engineering team when things get spicy. Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed. Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans. Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix. Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution. Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams. Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick. Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support. What we're looking for: You’ve spent 5+ years supporting enterprise customers with a confident, calm approach. 3+ years under your belt with Linux, Docker and Kubernetes. You dream in containers. You deliver top-tier customer experiences with stellar written and verbal communication. You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more. You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff. Experience with AWS, Azure, or GCP; AWS EKS experience is a plus. Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning. Extra kudos if you bring CKA, CKAD, CKS or KCSA certs and aspire to be a future Kubestronaut. Startup experience? Even better.  You’ve navigated fast lanes before. A curious soul who learns faster than a caffeinated squirrel. You hold a bachelor’s degree (STEM preferred) or have equivalent battle scars from the real world. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Aurora is looking for a Developer Support Engineer I to resolve developer tooling and infrastructure support issues.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Northeast What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For New York City based hires: Estimated annual salary of $204,000.00 - $321,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.