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Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Athens Workplace: Hybrid About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to develop capabilities that work on physical robots. You will take ideas from model and data experiments through robotics integration and evaluation on real hardware. Our fleet includes Unitree Go2, G1, H1, and B2 robots using NVIDIA Jetson Orin and Jetson Thor compute. Current areas of focus include navigation, learned policies, vision-language-action models, and robotics data. What you will do - Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior. - Apply suitable methods such as imitation learning, reinforcement learning, or vision-language-action approaches. - Build data collection and evaluation pipelines using real-world and simulated robotics data. - Integrate models with robotics software, sensors, actuators, and control systems. - Test on physical robots, measuring task success, sim-to-real performance, on-device latency, and failure modes. - Work with ML, Engineering, robotics specialists, and Product to improve reliability and move prototypes toward repeatable deployment. What you will need - 3+ years of relevant ML or robotics engineering experience, or equivalent impact taking research into real-world systems. - Hands-on experience developing and evaluating ML-enabled systems on physical robots. - Strong Python and production software engineering skills, including experience with ROS or a comparable robotics framework. - A strong ML background in robot learning, perception, imitation learning, reinforcement learning, multimodal models, or a related area. - Experience with robotics data, simulation, experiment design, and evaluation on real hardware. - Practical understanding of sensors, actuators, control loops, latency, and hardware debugging. Nice to have - Vision-language-action models, multimodal foundation models, or generative world models. - Experience with humanoids, mobile or dexterous manipulation, or other complex robotic platforms. - Sim-to-real transfer, teleoperation, human demonstration data, or large-scale robotics data collection. - C++, low-level control, tactile or force sensing, or real-time systems. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve the agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production. What you will do - Run post-training experiments using supervised fine-tuning, preference optimization, reinforcement learning, or other suitable methods. - Improve how agents plan, use tools, manage execution, and recover from errors. - Build benchmarks, verifiers, and diagnostic tools to measure agent performance and identify failures. - Generate and curate training data, including agent trajectories and difficult cases from target workflows. - Evaluate and improve long-context behavior, memory and retrieval interactions, and reliability over multi-step tasks. - Work with ML, Product, and Engineering to improve inference and bring successful experiments into production with clear regression checks. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Hands-on LLM post-training experience in at least one area: supervised fine-tuning, preference optimization, reinforcement learning, or a comparable method. - Experience building agent systems involving tool use, multi-step execution, and error recovery. - Strong skills in model and agent evaluation, failure analysis, and the creation or curation of training data. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience improving or deploying model-backed systems, with an understanding of LLM inference performance and cost. Nice to have - Reward modeling or verifier-based training. - Long-context training, memory systems, retrieval, or context compression. - Distributed training or high-performance LLM serving. - Experience delivering agents for complex enterprise, coding, or research workflows. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: USA (Remote); Canada (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs is looking for a hands-on Security Engineer with strong application security fundamentals and a track record of finding and fixing real vulnerabilities. You’ll own bug bounty programs and external audits, secure our code and software supply chain, and build tooling that protects Mysten’s products and users across the Sui ecosystem. Responsibilities - Run Mysten's bug bounty programs: triage, severity, responses, internal escalations, fix validation, and the budget and payouts. Turn recurring report classes into automated checks. - Own audit engagements: scope and schedule external audits, act as the technical counterpart during the engagement, and track findings through remediation and fix validation. - Conduct code and design reviews of systems built by Mysten, its subsidiaries and partners (Rust, TypeScript, Move). Drive issues to conclusion, including investigation and incident response, and run variant analysis so each bug class is closed everywhere it occurs. - Own software supply chain security: dependency and CI/CD malware defenses, Endor Labs, the code security service (GitHub controls, merge bots), and the ongoing code security self-auditing service. Detect and respond to compromised packages, maintainers and build pipelines, and secure the provenance and signing of what Mysten ships. - Build and improve anti-scam and anti-abuse tooling for the Sui ecosystem: detect phishing sites, malicious dApps, drainer contracts and other threats that target Sui users, and work with wallet teams on mitigations. - Build security tooling: LLM-driven triage and review agents, and static and dynamic analysis (taint, call graphs, fuzzing) wired into CI and code review. Build in known-clean checks so people trust the results.   MINIMUM QUALIFICATIONS - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. - 3+ years of hands-on experience in security engineering, application security or product security, with a track record of finding real vulnerabilities (bug bounty reports, audit findings, CVEs or published research). - Strong Web2 security fundamentals: XSS, CSRF, SSRF, authorization flaws, injection, deserialization, software supply chain failures, cryptographic failures. - Proficiency in one or more of Rust, TypeScript, Python or Move, and experience reviewing and writing security-sensitive code. - Hands-on knowledge of software supply chain attack surface: package ecosystems (npm, crates.io http://crates.io, PyPI), CI/CD (GitHub Actions workflow injection, token exposure, unpinned actions), and build provenance. - Solid understanding of applied cryptography fundamentals and the common ways cryptographic systems are misused in practice. - Experience on either side of a bug bounty program or an audit engagement. - Strong written and verbal communication, including the ability to influence teams you have no formal authority over. - Interest in the web3 space is required.   PREFERRED QUALIFICATIONS - Smart contract or wallet security: Move, Solidity or Rust-based chains; Sui's object and capability model is a plus. - Static or dynamic program analysis: CodeQL, Semgrep, taint analysis, fuzzing, symbolic execution. - Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work. - Anti-phishing, anti-fraud or trust & safety experience: domain and content monitoring, crawling, classifiers, threat intelligence. - Knowledge of recent crypto incidents and the defect classes behind them: drainer kits, DeFi frontend compromises, package-registry compromises. - Notable bug bounty rankings, CVEs, publications or conference talks. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: United States Position overview SingleStore is seeking a Principal Cloud Network & Reliability Engineer to lead the architecture, reliability, and automation of the network foundations supporting our engineering organization. This is a senior hands-on technical role spanning cloud networking, site reliability engineering, infrastructure automation, and platform architecture across AWS, GCP, Azure, and internal infrastructure. The ideal candidate combines deep networking expertise with strong software and infrastructure engineering skills. They should be comfortable operating across organizational boundaries, driving technical decisions, improving reliability, and identifying adjacent problems that need ownership rather than limiting themselves strictly to a predefined scope. This role also provides senior technical coverage during U.S. business hours and acts as a key architecture partner to Platform Engineering, Systems Engineering, IT, InfoSec, and product engineering teams. What you’ll do: Define cloud networking architecture and standards across AWS, GCP, Azure, and internal infrastructure. Design and evolve routing, segmentation, firewalls, NAT, ingress/egress, DNS, VPN, private connectivity, and cloud-to-data-center networking. Lead technical direction for private-access technologies such as Tailscale, Headscale, WireGuard, bastions, and related access patterns. Establish SLOs, monitoring, alerting, recovery procedures, and operational standards for critical network services. Lead diagnosis and mitigation of significant networking, connectivity, and infrastructure incidents, and drive permanent remediation. Develop and maintain infrastructure using Terraform, OpenTofu, Terragrunt, Python, Go, or comparable technologies. Build reusable infrastructure patterns and automation that enable safe self-service for platform and engineering teams. Improve infrastructure change safety through automated validation, required review, observability, change logging, and rollback practices. Partner with Cloud Platform, Developer Platform, Systems Engineering, IT, InfoSec, and SRE teams on architecture that crosses networking, infrastructure, identity, security, and reliability domains. Serve as a senior technical escalation point during U.S. business hours. Create architecture standards, decision records, runbooks, and operational practices that reduce dependency on individual subject-matter experts. Mentor engineers and raise networking, infrastructure, and reliability expertise across the organization. Identify architectural and operational gaps beyond the immediate networking domain and help drive them to resolution. Your Experience: Minimum 10+ Years of experience required. Deep experience designing and operating complex production cloud networks in at least one major cloud provider, with meaningful experience in a second. Strong knowledge of routing, subnetting, segmentation, firewalls, NAT, DNS, VPN, ingress/egress, and private connectivity. Demonstrated experience troubleshooting complex production network and infrastructure failures. Strong hands-on experience with Terraform, OpenTofu, Terragrunt, or comparable infrastructure-as-code technologies. Experience building infrastructure automation using Python, Go, or a comparable programming language. Strong SRE experience including observability, incident response, root-cause analysis, recovery engineering, and reliability improvement. Experience operating Kubernetes or adjacent cloud-platform infrastructure. Experience designing safe infrastructure change and deployment practices. Ability to lead architecture decisions across multiple engineering organizations without formal authority. Strong written and verbal communication skills, including architecture documents, standards, runbooks, and incident reviews. Demonstrated ability to mentor engineers, distribute technical knowledge, and influence technical direction at Principal level. Preferred Qualifications: Experience across AWS, GCP, and Azure. AWS Transit Gateway, Cloud WAN, Direct Connect, PrivateLink, Route 53, or equivalent cloud-network technologies. GCP Cloud Router, Interconnect, Shared VPC, Private Service Connect, or equivalent technologies. Azure Virtual WAN, ExpressRoute, Private Link, or equivalent technologies. BGP and hybrid cloud/data-center networking. Tailscale, Headscale, WireGuard, or comparable private-access technologies. NetBox or other IPAM/DCIM platforms. Kubernetes CNI or advanced Kubernetes networking experience. Grafana, Prometheus, Mimir, Loki, CloudWatch, PagerDuty, Pingdom, or comparable observability tools. Experience with IAM and identity technologies such as Okta, Keycloak, FreeIPA, OIDC, SAML, SCIM, JIT access, certificates, secrets management, or privileged-access systems. Experience building policy-as-code, infrastructure guardrails, or automated deployment controls. Experience in large multi-account, multi-project, hybrid-cloud, or enterprise-scale infrastructure environments. About us: SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. T o all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. Req ID: ENG00523

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ROLE OVERVIEW We are seeking a TPRM Senior Associate with 4+ years of relevant experience to serve as a key operational member of the London TPRM team. This role is the primary operational bridge between the London leadership, the Offshore TPRM Operations Team, and critical onshore functions (Procurement, Business Owners, Risk SMEs). The Senior Associate is responsible for coordinating the execution workflow, managing the quality assurance of medium-risk third parties, and driving the logistics for the critical Supplier Performance Review process. RESPONSIBILITIES This role is centred on execution quality, operational leadership, and cross-functional coordination within the London TPRM team structure: - Offshore Operations Liaison & Quality Control: - Act as the primary daily point of contact and operational supervisor for the Offshore TPRM Operations Team, ensuring the accurate and timely execution of all third-party risk assessments and due diligence activities. - Lead the Quality Control (QC) process for all assessments delivered by the offshore team, ensuring outputs are consistent, align with established methodologies, and are fully audit-ready. - Monitor the operational performance of the offshore team against defined Service Level Agreements (SLAs) and Key Performance Indicators (KPIs). - Be ready to conduct third-party assessments to support the team, where required. - Stakeholder Coordination & Assessment Oversight: - Coordinate Assessment Initiation by working closely with Procurement and Business Owners to ensure third-party risk assessments are initiated at the correct phase of the third-party lifecycle. - Manage the crucial triage and review process by coordinating with Internal Risk SMEs (e.g., InfoSec, Data Privacy, BCP) to ensure high-risk assessments receive appropriate specialized review and sign-off prior to completion. - Serve as the operational point of contact for these onshore internal risk teams regarding third-party-specific findings and remediation requirements. - Supplier Performance Monitoring & Reporting: - Oversee the governance and standardization of ongoing supplier performance monitoring activities executed by the offshore team. - Coordinate with Business Owners and Procurement to collect and review performance data (e.g., SLA adherence, operational metrics) and integrate significant performance failures or deficiencies into the overall third-party risk profile. - Ensure any critical performance issues are appropriately flagged for risk review and incorporated into continuous monitoring plans. - Escalation and Remediation Management: - Serve as the primary escalation point for all high-risk findings, process bottlenecks, and third-party non-compliance issues reported by the Offshore TPRM Operations Team. - Work with Business Owners and Procurement to define, drive, and track third-party remediation plans, ensuring mitigation steps are completed within established timelines. - 2nd Line of Defense Liaison & Governance Support: - Act as the key operational liaison for the 2nd Line of Defense (Risk Oversight), compiling and delivering required operational data, metrics, and commentary on the coverage and control effectiveness of the TPRM program. - Support the TPRM team in the preparation of reports and presentations on TPRM metrics, trends, and program effectiveness for leadership and Risk Committees. - Program & Tool Support: - Assist the TPRM team in the implementation, configuration, and ongoing maintenance of the TPRM system/tool, ensuring data integrity across the platform. QUALIFICATIONS - Experience: 4+ years of dedicated experience in Third-Party Risk Management (TPRM), risk management, compliance, or a related operational control function. - Consulting Background: Prior experience working at a Big 4 (e.g., Deloitte, EY, PwC, KPMG) or a similar major consulting firm is highly desirable. - Operational Control: Proven experience acting as a process gatekeeper or reviewer, with specific experience in Quality Assurance (QA) for risk or compliance deliverables. - Coordination: Demonstrated success coordinating delivery and information flow between offshore/remote teams and demanding onshore business/risk stakeholders. - Stakeholder Management: Strong organizational and interpersonal skills, with the ability to manage expectations and articulate complex operational risks clearly. - TPRM/GRC Knowledge: Solid understanding of TPRM principles, risk domains (InfoSec, BCP, ABAC, etc.), and prior experience supporting the administration or maintenance of a GRC/TPRM platform is highly desirable. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Role: Radio Frequency Engineer - Department: Space Systems - Location: Valencia, Spain - Reports to: Engineering Manager, Space Systems - Working type: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) THE MISSION OF THE RADIO FREQUENCY ENGINEER As an RF Engineer, you will be at the heart of designing and advancing the next generation of ICEYE's satellites — pushing the boundaries of what small sensing satellites can achieve. Working closely with cross-functional engineering teams, you will own the design, testing, and continuous improvement of satellite RF and microwave hardware, from PCB design and component selection to link budget analysis and advanced measurements. When things go wrong, you will be the one to diagnose why — conducting root-cause analysis and providing hands-on technical support for an ever-expanding fleet of operational satellites in orbit.   WHO ARE WE? ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 1000 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.   DAY TO DAY RESPONSIBILITIES: - You will work closely with engineers from other domains to design a new generation of satellites and ensure continuous improvements of them. - Your responsibilities will include designing and testing satellite RF hardware, tackling the challenges inherent in the new space engineering approach, and pushing the boundaries of what small sensing satellites can achieve. - You will also be involved in the design of both passive and active microwave systems, and provide technical support for our expanding fleet of satellites. If you're ready to take on these exciting challenges, we’d love to have you on board.   REQUIREMENTS: MUST HAVE SKILLS - Master's degree in Radio/RF/Communications/Signal/Electrical engineering. - 5 years + of experience in RF and microwave engineering (including PCB board design, link budget, component selection). - Familiar how to use common measurement equipment and skilled to do advanced measurements. - Proficient problem-solving and debugging skills. Capability to tackle unconventional tasks and problems. - Ability to perform root-cause analysis on failures. - Ability to communicate clearly in English (written and spoken). - Ability to work independently, but also a co-operative team player. - Suits well in a multicultural environment. - Capability to drive a new project from the technical side, facing unknown issues and collaborating with people from different domains to solve it. - Strong troubleshooting and analytical skills. - Willingness to be involved in the whole life cycle of the satellite   NICE TO HAVE SKILLS - Prior experience in aerospace systems. - Prior experience with high frequency (5+ GHz) systems. - Capability to manage basic projects. - Prior experience in Altium, CST, Python. APPLICATION PROCESS - Talent Acquisition Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Manager Interview - Final Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.   HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com

Location: Remote- Europe/ Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. About the Role As a Staff Software Engineer on the Platform team, you will own the technical direction of Alpaca's streaming platform - our Redpanda-based event backbone and the user-facing streaming infrastructure. Platform also owns Authentication, Developer Experience and QA, and AI-Native Engineering. Streaming is roughly two-thirds of the job and where we expect you to become the deepest engineer in the company; across the other three you review the designs, hold an informed opinion, and lead the work where they meet streaming. This is a Staff role, so we are hiring for direction as much as delivery - the engineer who decides what the streaming platform looks like in two years, writes the RFC that gets three teams to agree, and then builds the hard part. We own client-facing and internal services, maintain shared libraries nearly every team depends on, and manage our own deployments. Most of our time goes into Go, but we also write Helm charts, dig through logs and metrics, and get pulled into a wide variety of problems. Things You Get To Do Own the architecture of our event streaming platform end to end - Redpanda, the UTS ecosystem, client libraries and user-facing streaming - and set its two-to-three-year direction Lead the shift from batch to event-driven across Alpaca's systems, working with the teams who own them rather than around them Design user-facing streaming at scale: connection fan-out, slow consumers, backpressure, ordering and delivery guarantees, and the failure modes that only show up on a volatile market day Set the standards for event-driven design - schema evolution, topic ownership, replay, idempotency - and own the shared libraries other teams build against, including the cost of versioning and deprecation Shape AuthN/AuthZ direction across Alpaca and lead the work where identity meets streaming: authorizing real-time subscriptions, token lifecycle on long-lived connections, multi-tenant isolation Help shape how Alpaca builds with AI - the schemas, contracts and event streams you own are the substrate our agentic development platform runs on Partner with SRE on chaos testing and game days for the event backbone, and with our QA stream on test tooling and pre-production gates, so resilience is verified rather than assumed Lead through influence rather than authority, and multiply the engineers around you through mentoring, design review, and handing off the work that grows people Join the Platform on-call rotation and act as technical lead during incidents affecting shared infrastructure Who You Are (must-haves) 8+ years of professional engineering experience, including several years running systems at real scale. You write Go, or have deep experience in another strongly-typed language and will pick it up quickly. You have architected event streaming systems, not just used them - real production depth in Kafka or Redpanda across partitioning, consumer groups, rebalancing, retention and delivery guarantees, and how each breaks under load. You have delivered realtime data to clients at scale (WebSockets, SSE or gRPC streaming) and handled fan-out, slow consumers and backpressure in production. You have driven technical direction across team boundaries without formal authority. You can point to the decisions you owned, the RFCs you wrote, and what happened next. You have built or maintained libraries many teams depend on, and know what backward compatibility and deprecation actually cost. You have mentored senior engineers and left the teams around you better than you found them. You have real depth in at least one adjacent area - identity and access, developer tooling and CI, or testing and resilience - and genuine curiosity about the others. You know Kubernetes beyond the basics: you can write a Helm chart with relative ease, you understand security best practices, and you have job experience or certifications to prove it. You have worked with relational databases - we use PostgreSQL, but we are not picky as long as the fundamentals are solid. You have worked at a startup before - you thrive in ambiguous environments, embrace changing priorities, know when to balance technical debt with speed, and proactively tackle whatever needs to get done without relying on pre-existing processes or documentation. Who You Might Be (nice-to-haves) You’ve worked with an IDL or binary serialization format (Protobuf, Avro; we use FlatBuffers) and handled schema evolution across many consumers. You have experience with change data capture (Debezium, PeerDB or similar) and understand how Postgres logical replication works. You’ve worked on auth systems - OAuth 2.0, OIDC, JWT lifecycle, Keycloak or Cognito - especially around long-lived connections or machine-to-machine access. You’ve built agentic or AI-native developer tooling, or designed systems meant to be operated by agents rather than only by people. You’ve run chaos engineering or game days, or built the load and fault-injection testing that makes them worth running. You’ve done IaC with Argo CD or Terraform. You have experience with Grafana’s observability stack - Prometheus, Tempo and all the rest. You might have even written a PromQL query for a new alert once or twice. You’ve worked in fintech or another regulated domain and understand how compliance constraints shape architecture. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Colombia Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: Costa Rica Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: New York, NY (HQ); Remote (Canada); Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Getting paid is still one of the most manual parts of running a business. Finance teams chase invoices over email, match payments to invoices by hand in spreadsheets, and close the books late because cash data is scattered across banks, payment processors, and ERPs. Ramp's Accounts Receivable team is building the system that automates all of it, from the moment an invoice is sent to the moment cash is reconciled in the general ledger. We own the full receivables lifecycle: invoicing, collections, payments, cash application, and accounting sync. We're looking for a senior backend engineer to own core pieces of that system. The work sits where hard engineering problems meet real money: matching messy payment data to the right invoices, keeping ledgers correct to the cent, and syncing reliably with the accounting systems our customers depend on. You'll own projects end to end, from design through production, and work closely with product and design to turn complex finance workflows into software that just works. WHAT YOU’LL DO - Build the payment-matching systems that automatically apply incoming ACH, wire, card, and check payments to the right invoices, even when payment details are incomplete or inconsistent - Design accurate data models where every dollar is traceable from invoice to payment to general ledger - Build two-way integrations with ERPs like NetSuite and QuickBooks that stay consistent through retries, partial failures, and edits on either side - Build collections workflows that help businesses get paid faster without hurting their customer relationships - Own projects from problem definition and technical design through launch, monitoring, and iteration - Raise the engineering bar through design reviews, code reviews, and mentorship WHAT YOU’LL NEED - Product sense: you care about the customer problem, not just the ticket, and you push back when the spec is wrong - Experience designing and operating production backend systems, including APIs, data models, and asynchronous workflows - Strong system design judgment and the ability to balance speed, correctness, reliability, and simplicity - A track record of independently owning complex projects and shipping high-quality software - Strong communication skills and a collaborative approach to technical decisions NICE TO HAVES - Experience with invoicing, billing, payments, accounting, or other financial workflows - Experience building integrations that keep data consistent across systems - Experience improving reliability and operational visibility in a growing product BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Portugal; Brazil SUMMARY: We are looking for a Full Stack Tech Lead to help build an end-to-end forecasting platform that brings machine learning into practical, user-facing applications. This role combines approximately 50% hands-on development with technical leadership and delivery coordination. You will guide technical decisions, manage incoming demands and help the team turn requirements into clear, deliverable work. People management is not part of the role. You will work with Node.js, TypeScript, React and NestJS, building distributed applications running on AWS ECS with Fargate , with a strong focus on automated testing, reliability and collaboration. WHAT WILL YOU BE DOING: As part of an agile software development team, you will: Developing and maintaining frontend applications using React and TypeScript, alongside backend services built with Node.js and NestJS. Providing technical direction while remaining actively involved in coding, code reviews and problem-solving. Managing technical demands, clarifying requirements, coordinating priorities and breaking down complex work into achievable deliverables. Collaborating with product stakeholders and engineers to identify dependencies, resolve blockers and keep delivery moving. Designing and evolving distributed systems using Amazon SQS for messaging and EventBridge for event-driven workflows. Building and running containerised services on AWS ECS with Fargate. Developing and maintaining PostgreSQL databases and application data access. Building automated tests using Vitest and Playwright, applying sound judgement across unit, integration and end-to-end testing. Monitoring application health and investigating production issues using Datadog. Integrating forecasting models into application workflows that support automation and user interaction. Applying AI-assisted engineering practices to improve development and testing while maintaining quality. WHAT WE ARE LOOKING FOR: Strong hands-on experience with Node.js, TypeScript, React and NestJS. Proven technical leadership experience, combining practical development with architectural decisions and delivery ownership. The ability to manage incoming demands, clarify scope, coordinate priorities and guide work through to completion. Experience building distributed and event-driven systems, including Amazon SQS and EventBridge. Hands-on experience with containerised applications running on AWS ECS with Fargate. Strong experience with PostgreSQL. A strong commitment to automated testing, with practical experience using Playwright and Vitest or a similar testing framework. Experience using Datadog for application monitoring and production troubleshooting. Experience using AI tools within the software development lifecycle, with appropriate review and validation. A proactive, collaborative approach and clear communication, with the confidence to take ownership and work closely with technical and non-technical stakeholders. Strong verbal and written communication skills in English NICE TO HAVE: Experience with Terraform and infrastructure as code. Experience building or improving CI/CD pipelines. Previous experience developing forecasting, predictive analytics or other applications powered by machine learning. An understanding of how applications interact with machine learning models to deliver user-facing features. Dedicated MLOps expertise is not required. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture. A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Ongoing Training & Mentoring The possibility of travelling - ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL BASED ONLY

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Machine Learning Engineer. Your main tasks will be: Set the ML direction: choose which strategic bets to make and tie each one to clear business needs. Drive LLM post-training and model adaptation end to end, from dataset construction to fine-tuning and preference optimization. Design and build agent harnesses and tool-using LLM systems. Shape multi-agent development workflows that make the team faster and more effective. Build evaluation frameworks and LLM-as-a-judge systems that reliably predict real-world performance. Improve dialogue quality across memory, emotional intelligence, persona consistency, safety and anti-loop behavior. Ship production systems that directly shape user experience, retention and monetization. We expect from you: Python expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code.Trainsformers. Training and fine-tuning LLMs. SFT, LoRA/QLoRA, PEFT. Preference optimization: DPO / ORPO / SimPO / CPO / GRPO or willingness to quickly go deep. Building datasets for LLM training: cleaning, filtering, deduplication, preference pairs, synthetic data, hard negative mining. LLM evaluation: offline evals, pairwise evals, LLM judges, human annotation. Agent harness design: tool calling, function calling, structured outputs, retries, routing, state management, memory/context, guardrails. Production LLM integration: APIs, streaming, batching, fallbacks, cost/latency trade-offs. Observability for agents: traces, tool-call logs, transcript analysis, failure clustering. Strong understanding of transformer architecture and modern LLM behavior. Accuracy with dtype/device/batching: fp32/fp16/bf16, quantization, CUDA memory, avoiding dtype mismatch bugs. Git, Docker, Linux, basic MLOps. Fluent Russian, ready to work in CET (±2) hours. Nice to have: experience beyond text (computer vision, image generation, multimodal), long-running conversations and character consistency, vLLM / TGI / SGLang, DeepSpeed / FSDP / Accelerate, quantization, safety classifiers. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a DevOps Engineer with Big Data Skills! Requirements We're looking for a DevOps engineer with 4+ years of hands-on experience, at least 2 of them spent building and running data or analytics infrastructure. You've designed systems that move, store, and serve data at scale. Warehouse maintenance is part of your daily routine, and writing Python, Bash, or SQL scripts is second nature. You treat data security as a core responsibility: you protect confidentiality, enforce zero-trust, least-privilege access, and automate everything you touch. Solid IaC skills are a must. IaC & CI/CD: Production experience with Terraform, Ansible, and Helm, plus CI/CD systems (GitLab CI, GitHub Actions, Jenkins, or ArgoCD). We expect you to design pipelines, not just use them. Containerization: Working knowledge of Docker and Kubernetes, including running data workloads on it (like Spark on Kubernetes, stateful services, operators). Cloud: Solid experience with AWS (S3, EC2, EMR, Redshift, Glue, IAM) or an equivalent cloud provider. Linux & Networking: Solid Linux administration skills and foundational networking knowledge relevant to distributed systems. Analytical Databases: Hands-on operation of ClickHouse and/or the Hadoop ecosystem (HDFS, Hive, YARN), including cluster setup, tuning, and scaling. Data Warehouses: Practical experience with Snowflake or Redshift, covering warehouse sizing, workload management, performance tuning, and cost control. Large Databases: Experience administering databases at terabyte scale: replication, backup and restore strategies, partitioning, and migrations with minimal downtime. SQL & Scripting: Strong SQL skills, including reading execution plans and optimizing heavy queries. Confident in Python and Bash for automation, data parsing, and investigation. Data Lakes & Object Storage: Working knowledge of S3-compatible storage, columnar formats, partitioning strategies, and data lifecycle management. Orchestration & Streaming: Familiarity with Airflow (or similar orchestrators) and Kafka, and how they fit into data pipelines. Extra Credit / Big Pluses Experience with Tableau, Power BI, Looker, Superset, or similar BI tools, including administration, performance tuning, and data source design. Hands-on experience with dbt and analytics engineering practices. Experience with open table formats (Apache Iceberg, Delta Lake, Hudi) and query engines like Trino/Presto or Athena. FinOps experience in data platforms: managing Snowflake credits, Redshift clusters, and storage costs at scale. Spark performance tuning and job optimization. Change data capture (CDC) with Debezium or similar tools. Data quality tooling (Great Expectations, Soda) integrated into CI/CD. Golang or Rust tooling experience. Knowledge of data governance and compliance (GDPR, data retention, PII handling). Understanding of business processes in the FinTech/Banking/Crypto sector. Responsibilities Infrastructure Ownership: Own the infrastructure behind our data and analytics platform, from provisioning to daily operations. Keep it reliable, scalable, and cost-efficient as data volumes grow. Infrastructure as Code: Provision and configure all data infrastructure with Terraform, Ansible, and Helm. CI/CD Pipelines: Build and maintain delivery pipelines for both infrastructure and data code (ETL jobs, Airflow DAGs, dbt models, schema migrations), with automated testing, safe rollouts, and fast rollback. Database & Warehouse Operations: Maintain ClickHouse, Snowflake, Redshift, and вPostgreSQL at multi-terabyte scale, handling replication, backups, upgrades, capacity planning, and disaster recovery. Data Lake Storage: Manage S3-compatible data lake storage, including partitioning, file formats, and lifecycle policies. Automation & Script Optimization: Refactor and automate Python, Bash, and SQL scripts to cut runtimes and eliminate manual work. Performance & Cost: Right-size clusters and warehouses, tune heavy queries, and keep compute and storage spend under control. Monitoring & Alerting: Cover data infrastructure with metrics, logs, and alerts for cluster health, pipeline SLAs, and job failures. Security & Access Control: Enforce least-privilege access, secrets management, encryption, and auditability for sensitive data. BI Infrastructure: Support the infrastructure behind Tableau or similar BI tools. Big Data Platforms: Deploy, tune, and troubleshoot Hadoop, Spark, and Kafka clusters in production. Collaboration: Work with data engineers, analysts, and developers to turn their workloads into solid infrastructure decisions. Security & Access Control: Implement role-based access, secrets management, encryption at rest and in transit, and auditability for sensitive datasets in line with regulatory requirements. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Warsaw We're looking for a Senior Platform Reliability Engineer who brings strong software engineering skills and a deep understanding of system behavior under load and stress. This role is a good fit for someone who wants to own reliability as a first-class concern – building the foundational systems that protect Asana's platform, not just responding when things go wrong. You'll build core platform systems like load shedding, rate limiting, circuit breakers, and traffic controls that protect Asana under real-world load. This is deep, cross-cutting work that shapes stability and performance of our entire infrastructure – and you'll partner closely with other platform teams to make reliability something that's built in, not bolted on. Our tech stack includes: AWS, Kubernetes (EKS), CloudFront, Istio, Cilium,  MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.) Why this role? Reliability as a first-class feature : You won't be patching things up after the fact. You'll build the systems that make Asana resilient by design. Foundational work : Load shedding, traffic management, ingress/egress – these are the building blocks that protect everything else. You'll own them. Strong collaboration, reasonable hours : You'll work closely with infrastructure teams in Warsaw and Reykjavik, making deep collaboration practical without constant timezone gymnastics. Room to grow : This is a new team, and you'll help shape what Platform Reliability Engineering looks like at Asana – whether that means leading projects, mentoring others, or defining our technical direction. In this role, success means shipping systems that other teams rely on by default – because they make the platform safer, not because they're mandatory. We're especially interested in people who think like backend engineers but obsess over failure modes, capacity planning, and building systems that degrade gracefully under pressure. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve: Design and build core platform systems – load shedding, circuit breakers, rate limiting – that protect Asana at scale. Own critical platform concerns like ingress and egress, shaping how traffic flows through our systems. Define stable interfaces and libraries that other platform teams build on. Lead end-to-end projects, from scoping and design through to rollout, working across multiple platform teams. Partner with other infrastructure teams to embed reliability into Asana's architecture – not as an afterthought, but as a core design constraint. Debug hard problems across the stack. When something breaks in a way that matters, you'll be the person who figures out why and makes sure it doesn't happen again. Share knowledge through code reviews, design discussions, and mentorship. About you: Strong software engineering background – you're comfortable writing production code and designing systems. We use Go, Python, Scala, and TypeScript, but we care more about engineering fundamentals than specific language experience. 5+ years of experience building and operating backend systems at scale. Familiarity with distributed systems patterns – you've thought about things like backpressure, graceful degradation, and capacity planning. Experience with major cloud platforms (AWS, GCP, or Azure), Terraform, and monitoring tooling like Datadog or similar. Experience defining and working within explicit reliability and performance targets for production systems. Clear communicator and strong collaborator – you're comfortable navigating trade-offs with other platform and infrastructure teams. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. Important: This is a software engineering role. If your background is primarily scripting, dashboards, or operational playbooks, this likely isn't a fit. What we offer Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) Contract of Employment ( with 50% tax deductible costs for author’s rights usage for Engineers) Health insurance with dental and travel coverage (Lux Med) Lunch catering on the days that you work from the office Career growth budget Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental health support in Modern Health Group life insurance Holiday allowance MacBooks with all necessary accessories For this role, the estimated base salary range is between 31,000 - 36,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-KM2 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for an Engineering Manager for Network Infrastructure to own delivery of network infrastructure initiatives in APAC. This is not a role for someone who only coordinates tickets and status. It is a role for someone with an engineering skeleton: a person who has built, operated, broken and recovered things, and can earn the trust of SREs, SWEs, network engineers, and security and platform teams. We are at the early stage of our APAC expansion, so at first you will be hands-on: reviewing designs, stepping into incidents, and writing code or automation when the team needs it, with a high degree of independence from the European teams. As the organisation grows, the scope of the role will grow with it. You own delivery. You will make important cross-team initiatives land: defining scope, aligning owners, exposing risks, driving decisions, tracking dependencies, and making sure we ship useful outcomes instead of half-finished initiatives. The job is not done when the technical pieces exist. It is done when engineers trust the tool, the NOC actually uses the workflow, alerts are actionable, runbooks are real, and the new way becomes the default way. You stay technical. You don't need to be the deepest expert in every area, but you should be technical enough to understand real trade-offs: why rollback is not optional, why "just automate it" can create a bigger blast radius, why SLOs without ownership are decoration, and why network device CI/CD is very different from deploying a stateless service. You can read a design doc, challenge missing assumptions, notice unclear failure modes, and help the team turn a vague but important problem into an executable plan. This is a high-leverage role in an early-stage and fast-scaling network infrastructure organisation. Many important systems are being built now: automation, observability, reliability standards, provisioning flows, operational safety, and cross-site consistency. You won't be maintaining a mature machine from the sidelines. You'll help shape how the machine works. Your responsibilities will include: Set the engineering bar: code quality, design review, on-call and incident management practices, and operational standards Own end-to-end delivery of cross-team network infrastructure initiatives in APAC, from a vague problem statement to an executable plan to adoption Define scope and success criteria, align owners across SRE, SWE, network, security, platform and data center teams, and drive decisions to closure Review designs and technical proposals, challenge missing assumptions, and surface failure modes, dependencies and risks early Stay hands-on where it matters: step into incidents, write code or automation, and unblock the team Drive adoption: make sure tools and workflows become the default way of working, with real documentation, runbooks and feedback loops Keep stakeholders, including the European teams, informed with clear, honest status and coordinate across time zones Turn operational pain and engineering input into a clear, prioritized backlog We expect you to have: 7+ years of experience in software, SRE, network or infrastructure engineering, including experience leading cross-team technical initiatives A real engineering background: you have built and operated production systems and can earn the trust of deeply technical teams Ability to read design docs and technical proposals, understand trade-offs, and ask sharp questions about reliability, rollback, blast radius and failure modes Strong understanding of infrastructure fundamentals (Linux, networking, automation, CI/CD) at the level needed to hold your own in technical discussions Proven ability to drive decisions and create clarity in ambiguous, fast-changing environments Excellent written and verbal communication, including documenting plans and decisions and influencing smart technical people Ability to work independently in an early-stage environment and to build processes from scratch Professional working proficiency in English (spoken and written) and comfort working across time zones It will be an added bonus if you have: Experience with network infrastructure: network automation, observability, or network device lifecycle management Experience with SLO/SLI frameworks, incident management, or production readiness processes Experience with CI/CD or change management for network or other high-blast-radius infrastructure Experience building a team from scratch or launching a new engineering hub Experience with secrets and access management, firmware rollout or fleet-wide operational initiatives Hands-on engineering contributions (code, tooling, automation) alongside management work Knowledge of the APAC network landscape (carriers, IX, regional connectivity and regulatory specifics) Examples of initiatives your team may own: A user and secrets management system for network infrastructure, including robot-user lifecycle, safe key/password rotation, revocation, break-glass access, mixed agent/push-based device support, and integration with existing secrets backends An SLO framework for network services and components, including SLIs, SLOs, dashboards, alerts, ownership, tiering, and a clear link between reliability targets and engineering investment CI/CD for network devices, where configuration changes, validation, staged rollout, rollback, and blast-radius control become disciplined and repeatable instead of manual and risky Fleet-wide operational initiatives such as firmware consistency, device lifecycle hygiene, observability coverage, monitoring quality, alert ownership, or production readiness for new network capabilities Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.