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Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Hiring Locations: Lisbon, Portugal, London, UK About the Role We are looking for a Systems Engineer to architect, scale, and operate the distributed infrastructure that powers our global server fleets. You will drive automation and reliability work that keeps our systems fast and resilient at scale. Responsibilities Cloudflare is a system spanning the globe, on a mission to make the internet better, safer, and more powerful everyday. With this goal in mind, our product teams are responsible for deployed thousands of deployments at an ever increasing rate. As an engineer on one of our Core platform teams, you'll be building the tools to help engineers deploy and operate the services that make Cloudflare work. Our mission is to provide a reliable, yet flexible, platform to help product teams release new software efficiently and safely. You’ll be building the private cloud that Cloudflare developers leverage to build Cloudflare itself. Core platforms we operate at Cloudflare include: Kubernetes Postgres, PgBouncer, and Stolon Kafka Zookeeper Ceph & Rook Developer tools, CI, and CD systems Vault Consul Etcd Temporal Artificial Intelligence & LLMs You will Architect, deploy, and maintain robust distributed systems, focusing on high availability, low latency, and horizontal scalability. Optimise Performance: Analyse system bottlenecks, optimise kernel and network stacks, and fine-tune resource utilisation across global server fleets. Drive Automation: Build and maintain internal tools and automation frameworks to streamline infrastructure deployment, configuration management, and monitoring. Ensure Reliability: Participate in architecture reviews, capacity planning, and proactive system health monitoring to guarantee maximum uptime and resilience. Collaborate Cross-Functionally: Partner closely with Security, Network Engineering, and Product teams to integrate infrastructure solutions smoothly across the entire stack. Desirable Skills, Knowledge, and Experience Demonstrable professional experience building and managing large-scale distributed systems or Linux production environments. Proficiency in at least one systems programming or scripting language (e.g., Go, Rust, C/C++, Python) with a track record of writing clean, maintainable code. Deep understanding of Linux/Unix operating system internals (e.g., storage subsystems, memory management) and core networking protocols (TCP/IP, DNS, BGP). Experience with configuration management and infrastructure-as-code tools (e.g., Ansible, Terraform, SaltStack). Strong analytical and troubleshooting skills, with a methodical approach to diagnosing complex system-level failures. Bonus Points Experience managing containerised workloads at scale using Kubernetes, Docker, or similar orchestration platforms. Familiarity with CI/CD pipelines and automated testing strategies for infrastructure. Contributions to open-source systems software projects or active participation in the broader systems engineering community. Experience with any of our existing tooling, such as Kafka and Temporal Good experience of harnessing AI to drive robust solutions What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology. What You’ll Do: Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales Operate Kafka as the message broker powering cross-team event-driven architecture Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS Support dbt for transformations and Airflow (or similar) for orchestration across the platform Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements Troubleshoo t production issues and drive the fixes Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: Bachelor’s or Master’s degree in Computer Science , Engineering, or related field 5+ years building data or platform engineering systems in production Strong coding skills in Python or Java Experience operating production data platforms on AWS and supporting downstream teams who build on them Hands-on with Kubernetes and Terraform Experience running Kafka (or a similar broker) in event-driven systems Working knowledge of Databricks/Spark, dbt, and Airflow Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server) Comfortable with CI/CD, testing frameworks, and observability tooling Bonus Points: Experience with d ashboarding technologies Experience with streaming engine ( flink , kdb ) Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support Experience in Crypto What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Эксплуатация, сопровождение и развитие Kubernetes-кластеров в частных и публичных облаках, а также на физических серверах (Bare Metal); Развёртывание и настройка новых Kubernetes-кластеров под задачи компании;

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $200k–$250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Location: Berlin Office; Iasi Office; London Office; Dublin Workplace: Hybrid ABOUT THE ROLE Taktile helps financial institutions make smarter, safer decisions with the power of AI. Internally, AI coding agents have made writing code dramatically faster. The bottleneck is now everything around the code: builds, tests, reviews, merges, and deploys. We're looking for a Senior Backend Engineer focused on Developer Productivity and Developer Experience to remove that bottleneck. This is a high-leverage, internal engineering role on our Platform Team: your users are Taktile's backend and frontend engineers and the AI agents working alongside them, and your product is the path from first commit to production. You'll make CI fast and reliable, make our serverless stack easier to build on, and turn "how fast can we ship safely?" into metrics we move every quarter. WHAT YOU’LL DO - Build the deployment services that ship Taktile. Own the systems behind tens of thousands of stack deployments a week across dev, staging, production, and per-customer AWS accounts: progressive rollouts through monitoring and canary stages, deployment windows and gates, and fast rollbacks. - Keep our AI developer tooling sharp. Maintain and extend Claudius, our in-house AI engineering agent that investigates CI failures, triages issues, and opens PRs, and metadev, our sandboxed Claude Code and OpenCode setup that packages Taktile's engineering knowledge for every engineer. - Own the build → test → merge loop. Drive down CI runtime and flakiness across our main monorepos. Find the slowest and least reliable steps, fix them, and keep them fixed. - Evolve our CI/CD architecture. Build on our move to per-module GitHub Actions workflows and a self-hosted runner fleet. Improve caching, parallelism, and cost per build. - Shorten the inner dev loop. Make developing on our AWS Lambda stack fast, from running services locally against preview environments to faster, container-based deploys, so engineers aren't waiting on CloudFormation to test a change. - Build paved roads. Ship templates, CLIs, and self-service tooling so any team can take a new module from first commit to a running dev workspace in under a day. - Design for humans and agents. Make our tooling fast, deterministic, and scriptable so engineers and AI coding agents get quick, trustworthy feedback. - Measure what matters. Own DevProd metrics like PR lead time, CI runtime, CI flakiness, and PRs per engineer-day. Use them to decide what to fix next and to prove the impact of what you ship. - Own our AI developer tooling. Take ownership of Claudius, our in-house AI engineering agent, and decide where it goes next. - Treat engineers as customers. Talk to teams, triage CI incidents, write clear docs, and drive migrations and deprecations to completion. REQUIREMENTS - 5+ years of professional backend engineering experience, with a track record of shipping and operating production systems end-to-end and leading technical projects across teams. - Strong, production-grade skills in at least one backend language. Python is our main language today, but we're open to others. This role is mostly writing software (tools, services, bots, and CI logic), not only configuring it. - Hands-on experience owning CI/CD at scale (for example, GitHub Actions): build and test performance, caching, parallelization, and debugging flaky tests and pipelines. - Solid AWS experience, ideally with serverless (Lambda, CloudFormation/SAM) and infrastructure as code (Terraform). - Comfortable with the latest AI coding and agent-orchestration tools (for example, Claude Code, OpenCode, subagents, and MCP). You use them daily and know how to make them work reliably for a whole engineering org. - A product mindset for internal tooling. You talk to your users, measure outcomes, and judge success by adoption and time saved. - Strong communication and stakeholder management. You can drive a change across many teams you don't manage: write the proposal, plan the rollout, and see it through. IDEAL, BUT NOT REQUIRED - Prior experience on a developer productivity, developer experience, build/release engineering, or platform team. - Experience as a product-facing backend engineer, so you know firsthand where the development loop hurts. - Experience with frontend build and test tooling in the TypeScript/React ecosystem, so you can support our frontend engineers too. - Experience running self-hosted CI runners or build infrastructure at scale. - Experience with progressive delivery: canary deployments, automated rollbacks, and deployment gates. - Experience with monorepo tooling, build systems, or dependency management at scale. - Experience building AI agents or agent infrastructure, such as MCP servers, agent harnesses, or evals. OUR STACK - AI: Claude, Claude Code, OpenCode - Programming Languages: Python and TypeScript (React) today; open to others where they fit better - Cloud & Infrastructure: AWS (Lambda, SAM/CloudFormation, ECR, CodeDeploy), Docker, Terraform - CI/CD: GitHub Actions, self-hosted runners - Internal Tools: GitHub, Linear, Notion, Metabase OUR STANCE - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.   ABOUT US Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Brazil; Peru; Colombia; Argentina; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's engineers build a lot of software. Developer Platform AI builds the AI systems they use to do it: agents that write and review code, simple access to the best models in the tools they already use, and the infrastructure that connects AI to our internal systems. This is a small team with a lot of reach. The tools you ship will change how engineers across Kraken work every day, and you'll see that happen directly. The work spans agent platforms, code review, LLM routing and cost controls, MCP integrations with tools like Slack, Jira and GitLab, and the security and observability that make all of it safe to run. If you want to work on applied AI with real users from day one, this is that job.   THE OPPORTUNITY - LLM traffic doesn't behave like normal API traffic. Requests are long-running, streaming and expensive. One prompt can cost a few cents or a few dollars. One team's burst can burn another team's budget. Providers change their rate limits, failure modes and pricing without warning. Running this well is a problem few companies have solved, and it's the job. - Own the reliability of the platform engineers depend on: the AI Gateway, the agent runtime and the connections to internal tools. Set the SLOs, own the error budgets and decide what happens when they're spent. - Design resilience across model providers: routing, failover, retries, rate limiting and graceful degradation when a provider is slow, throttling or down. - Make LLM traffic legible. Build observability that shows latency, errors, token usage and cost by team, model and use case, so engineers can see what their workloads cost and where they're spending their time waiting. - Treat capacity and cost as one problem. Routing decisions affect both latency and spend, and you'll own the tradeoff directly. - Work with Security, Finance and AI governance to put access controls, budgets, audit logging and data handling into the platform, not into a spreadsheet next to it. - Lead incident response and blameless post-incident reviews. Turn what breaks into fixes that stay fixed. - Automate operations with infrastructure as code, safe deployments and progressive rollouts, so the platform gets more reliable as it grows rather than more fragile. - Mentor engineers and raise the operating standard across the team. This is a Staff role. You'll set the technical direction for how the platform runs, not just keep it running. The platform is small enough that your decisions shape it directly, and used broadly enough that they affect every engineering team at Kraken. SKILLS YOU SHOULD HODL - Extensive experience in site reliability, infrastructure or platform engineering, with a track record of owning high-traffic, business-critical services in production - Deep hands-on experience with Kubernetes, a major cloud provider and infrastructure as code such as Terraform - Strong command of SLOs, observability and incident management, and the judgment to know which reliability work actually matters - Proficiency in Rust or Python, and comfort reading and changing a production service's code - Experience with API gateways, reverse proxies or traffic management: load balancing, rate limiting, failover and caching - Experience operating multi-tenant internal platforms, including authentication, authorization and per-tenant cost controls - Staff-level influence: you set direction across teams, write clear design documents and bring other engineers with you NICE TO HAVES - Experience operating LLM gateways or integrating LLM provider APIs at scale: streaming, token-based rate limiting, model routing and caching - Experience serving models yourself, including vLLM or Ray: GPU scheduling, batching, autoscaling and cost per token - Experience building Kubernetes controllers or operators with controller-runtime or kubebuilder - Experience with Consul and Vault for service discovery, configuration and secrets - Experience with model evaluation pipelines for catching quality regressions before and after rollout - Familiarity with coding agents and agent harnesses, and running them safely in sandboxed environments - Experience with cost attribution, budgeting or FinOps for usage-based services - Background in security-sensitive or regulated environments such as financial services or crypto - Contributions to open-source gateway, proxy or observability projects Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

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

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Observability team builds the platform every Affirm engineer relies on to understand the behavior and performance of our systems. Our platform ingests 200+ TB/day of metrics, logs, and traces from hundreds of services across 80+ Kubernetes clusters, and when a user's checkout fails, our data is how engineers find out why. Over the next year, we’re moving to wide events, with one context-rich event per request, improving the signal-to-noise ratio to make debugging faster. We’re also introducing log sampling and building observability best practices into agentic development and code review, so that AI-assisted code is well instrumented by default. We’re looking for a Staff Software Engineer to be the technical lead for Observability. You’ll spend most of your time hands-on while defining the roadmap, driving cross-functional projects, mentoring a team of six engineers, and partnering closely with infrastructure and product teams. What You'll Do · You will own the architecture of Affirm’s telemetry pipeline, balancing reliability, query performance, and cost at 200+ TB/day. · You will design log sampling strategies that significantly reduce volume and cost without losing the signal engineers need during incidents. · You will shape how observability fits into agentic development, so that AI coding agents and code review catch instrumentation gaps before code ships. · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Flink and Kubernetes. · You have built or operated high-volume telemetry systems (metrics, logs, and/or traces) using technologies like OpenTelemetry, Kafka, and Terraform. · You have a well-informed point of view on modern observability practices such as structured and wide events, sampling, cardinality management, and SLOs. · You have driven adoption of a platform standard across many engineering teams, through both tooling and engagement. · You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. · You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. · Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000 USA base pay range (all other U.S. states): $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Lisbon, Portugal About the Role The Site Reliability Engineering team at iCapital is fundamental to ensuring our platform delivers consistent, reliable service to our client base. Our services run on Kubernetes in AWS, and this role focuses on keeping them healthy in production. We're looking for the hands-on engineer others turn to when production is broken and the cause isn't obvious. You'll troubleshoot across the full stack (the application, its containers, Kubernetes, and the underlying cloud infrastructure) and turn what you learn into lasting improvements: stronger reliability standards, safer rollouts, sharper alerts, and automation that prevents repeat failures. You'll rely on metrics, logs, and traces every day, but the heart of this role is diagnosing and fixing what they reveal. Responsibilities Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause. Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements. Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding. Serve as Incident Commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through. Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil. Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing. Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations. Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links. Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields. Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus. Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time. What You'll Need (Must-Haves) 5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams. 3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads. Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious. Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer. Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes. Strong incident response skills, including leading retrospectives/postmortems and following through on systemic fixes. Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling. Track record of defining SLOs/SLIs and using an observability stack (such as Prometheus/Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly. Clear written and verbal communication, with the ability to influence engineering teams through standards, tooling, and practical guidance. Nice to Have Kubernetes certification (CKA or CKS) or equivalent depth. Experience improving rollout safety and autoscaling behavior for Kubernetes workloads. Familiarity with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems. OpenTelemetry instrumentation experience at scale. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

🔹 консультировать клиентов по техническим решениям в ИБ;

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - AI Solutions Engineer - Location: Espoo, Finland - Department: Business Applications - Reports to: AI Platform Lead / Head of Business Applications - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: The Business Applications team focuses on high-impact internal use cases to help the company grow, building internal solutions and facilitating new processes as we scale our data infrastructure, tooling, and operations. As an AI Solutions Engineer, you bridge the gap between rapid AI-assisted product delivery and scalable, governed platform engineering. You will spend roughly 50% of your time taking high-value internal use cases from business needs to reliable, production-grade applications, and 50% of your time collaborating with the AI Platform Lead on our shared internal applications platform, DevOps workflows, and governance guardrails. You think ahead: instead of solving problems with brittle one-off fixes, you turn recurring needs into clean, reusable platform capabilities and help guide our Junior AI Solutions Engineers to do the same. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities BUILD AND SHIP INTERNAL APPLICATIONS & AI-ENABLED SOLUTIONS (~50%) - Partner directly with stakeholders across the business to translate operational bottlenecks into clear technical designs and working, scalable applications. - Build, iterate on, and productionize full-stack internal applications and automations (primarily Python/FastAPI, TypeScript/React, and PostgreSQL) using modern AI-first coding workflows (Cursor, Claude Code) and LLM APIs where they add real value. - Design and maintain reliable, governed integrations with core enterprise systems and data sources (e.g., HiBob/HRIS, Salesforce, Databricks, Slack, Jira, Google Workspace, Okta). - Own the full lifecycle of the solutions you build. All the way from rapid prototyping and stakeholder validation to production rollout, documentation, and long-term maintainability. COLLABORATE ON THE INTERNAL TOOLS PLATFORM, DEVOPS & GOVERNANCE (~50%) - Collaborate with the AI Platform Lead to develop, operate, and scale our AWS-based internal applications platform (ECS/Fargate, Aurora PostgreSQL, ALB/CloudFront, ECR, Secrets Manager, EventBridge) managed via Terraform. - Build for scale rather than one-offs: when an application needs a new integration pattern, infrastructure capability, or deployment workflow, design it as a reusable, self-service platform pattern that benefits the entire fleet of internal apps. - Maintain and improve GitHub Actions CI/CD pipelines (OIDC, automated security and IaC scanning, plan/apply workflows) and shared platform libraries (authentication, IAM database access, service-to-service communication). - Uphold strong governance, security-by-default, and auditability across the platform by ensuring strict access controls, clear audit trails for sensitive data access and write-backs, least-privilege IAM, and traceable change management. - Help triage and resolve platform-level operational issues, including deployment pipelines, container health, database migrations, network/egress rules, and observability/log forwarding (Splunk, CloudWatch). ELEVATE TEAM ENGINEERING QUALITY & UNBLOCK DELIVERY - Act as a day-to-day technical sounding board and mentor for the Junior AI Solutions Engineers on the team by reviewing PRs, guiding data modeling and API design, and helping troubleshoot tricky deployment or integration issues. - Contribute to shared templates, runbooks, and architecture decision records (ADRs) so the team moves fast without accumulating technical or security debt. WHAT WE’RE LOOKING FOR Must haves: - 4–6 years of hands-on experience in software engineering, full-stack development, or platform/DevOps engineering, with a track record of shipping and operating production web applications end to end. - Systems and platform mindset: you naturally look past the immediate ticket to see how a solution will behave across 30+ apps in a year's time, and you strongly prefer reusable patterns, clean abstractions, and automation over ad-hoc, one-off workarounds. - Strong appreciation for governance, security, and auditability: comfortable working in an environment where data isolation, least-privilege access, approval gates, and verifiable audit trails are non-negotiable. - Strong proficiency in Python (e.g., FastAPI) and/or TypeScript/React, plus solid relational database skills (PostgreSQL, schema isolation, migrations). - Practical Cloud & DevOps experience on AWS (e.g., ECS/Fargate or containers, IAM, networking/ALB, RDS/Aurora) and Infrastructure as Code (Terraform). - Hands-on experience with CI/CD pipelines (GitHub Actions, Docker, automated testing and security checks) and AI-assisted engineering tools (Cursor, Claude Code) plus practical LLM API integration. - Pragmatic communicator: comfortable working directly with business stakeholders to scope ambiguous problems, while holding a high bar for engineering quality under the hood.   Nice to haves: - Experience integrating with enterprise systems and APIs such as HRIS/ATS (HiBob, Ashby), CRM (Salesforce), data platforms (Databricks), or Slack/GitHub Apps. - Hands-on familiarity with security and compliance controls in cloud environments (OIDC/OAuth2, IAM database authentication, KMS encryption, Checkov/IaC scanning, Splunk/audit logging). - Prior experience mentoring junior engineers and reviewing code/architecture on a fast-moving team. APPLICATION PROCESS - Introductory call with TA - Hiring Manager Interview - Technical & Platform case interview - Skip level interview 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 http://iceye.com.

You will own the reliability, performance, and cost efficiency of the PostgreSQL data platform behind our flagship CMS — primarily Amazon Aurora PostgreSQL — along with the infrastructure and automation around it. This is a reliability engineering role,.

Location: Москва Workplace: Дистанционный Мы разрабатываем крупнейший мессенджер в России, чтобы соединять людей, сервисы и компании. Создаём простые и удобные инструменты коммуникации. Задачи Развивать и сопровождать инфраструктуру highload-системы, повышать надёжность, доступность и производительность Внедрять и поддерживать SLO/SLI и практики error budget, выстраивать алертинг на основе пользовательских метрик и приоритизации Развивать observability (Prometheus/Alertmanager, Grafana, централизованные логи): делать эксплуатационные дашборды, настраивать алерты, снижать alert noise, улучшать MTTD/MTTR Автоматизировать рутинные операции и эксплуатационные процессы, снижать toil, развивать self-service подходы для команд разработки Участвовать в on-call , оперативно реагировать и устранять инциденты, координировать восстановление, проводить postmortem и доводить улучшения до продакшена Взаимодействовать с командами разработки и смежными инфраструктурными командами: участвовать в архитектурных обсуждениях, ревью изменений, согласовании требований к production readiness Вести и развивать эксплуатационную документацию : писать и актуализировать runbooks/playbooks для типовых инцидентов и деградаций, инструкции по релизам/роллбэкам и аварийным процедурам (в том числе DR), документировать дашборды/алерты и схемы зависимостей/эскалаций Требования Опыт 5+ лет в SRE/DevOps/Platform/System Engineering, опыт эксплуатации highload -систем Глубокие знания Linux : администрирование, диагностика производительности (CPU/mem/io), анализ деградаций, systemd, файловые системы, лимиты/квоты, troubleshooting на production Сетевые основы для диагностики : TCP/IP, DNS, HTTP/HTTPS, TLS, L4/L7 балансировка, keepalive; умение находить и устранять сетевые причины деградаций Опыт эксплуатации распределённых систем : понимание partial failures, timeouts/retries, backpressure, graceful degradation Облака: опыт эксплуатации инфраструктуры в публичном облаке — сети и балансировщики, autoscaling, IAM/роль‑модель; построение отказоустойчивости по зонам/регионам, базовые DR-подходы Контейнеры и Kubernetes: понимание контейнеризации и практический опыт работы с Kubernetes на уровне эксплуатации (деплой, конфигурации, диагностика проблем приложений/окружения) Infrastructure as Code : Terraform (или аналог) + Ansible; Git‑workflow, code review, версионирование инфраструктуры CI/CD и управление изменениями : безопасные релизы (canary/blue‑green), rollback стратегии, снижение рисков изменений Код и автоматизация: чтение чужого кода (Go/Java/Python) для диагностики; написание автоматизации (Python/Go/Bash), создание утилит/джоб для эксплуатации Observability: Prometheus/Alertmanager, Grafana, централизованные логи (Graylog/ELK) — дашборды под эксплуатацию, алерты с учётом снижения шума и приоритизации SRE-практики : SLI/SLO, error budget, incident response, postmortem без поиска виноватых Готовность к on-call и участие в разборе и устранении инцидентов Навыки создания и поддержки эксплуатационной документации : runbooks/playbooks, инструкции по деплою/роллбэку, схемы архитектуры, описания SLO/алертов; умение писать кратко и так, чтобы документ работал в инциденте Будет плюсом Опыт с БД/кешами/очередями: PostgreSQL/Redis/Cassandra/Kafka/ClickHouse и так далее Сопровождение Java: JVM/GC, heap/thread dumps, профилирование, диагностика latency Security basics: secrets management, least privilege

Мы ищем талантливых специалистов поддержки, способных разбираться в технических проблемах пользователей инфраструктурного облака. Хорошо, если вы работали с распределёнными многокомпонентными инфраструктурами и занимались администрированием и траблшутингом Linux-систем и сетевых технологий. Команда Yandex Cloud непрерывно расширяет количество доступных сервисов и совершенствует свои продукты. Одновременно стремительно растёт количество наших клиентов и круг задач, которые мы помогаем решить. Мы ищем талантливых специалистов в области поддержки, способных быстро разбираться в технических проблемах пользователей инфраструктурного облака. Хорошо, если вы умеете общаться с людьми в стрессовых ситуациях, работали с распределёнными многокомпонентными инфраструктурами, умеете диагностировать корневые причины проблем и предлагать решения. Обязанности * Консультировать клиентов Yandex Cloud по вопросам, возникающим при использовании сервисов облака * Развёртывать тестовые стенды, чтобы диагностировать managed-решения Yandex Cloud и находить оптимальные реализации сценариев клиентов * Воспроизводить сложные технические кейсы и решать их, а если понадобится — то инициировать их решение на уровне сервисов * Своевременно распознавать технические инциденты на инфраструктуре и вместе с командами сервисов участвовать в их решении * Сотрудничать с senior-инженерами направления при решении обращений Больше о том, что под капотом платформы Yandex Cloud, — в канале Inside Yandex Cloud Требования * На middle-уровне занимаетесь системным администрированием и траблшутингом Linux-систем и сетевых технологий * Работали с PostgreSQL, ClickHouse, Greenplum, Kafka, Redis, MongoDB, MySQL, Elasticsearch/OpenSearch, получили опыт настройки и траблшутинга одной или нескольких БД из этого списка Будет плюсом * Работал с Terraform и системами управления конфигурациями Puppet, Chef, Ansible, Salt * Получили сертификат Yandex Cloud Certified Engineer Associate или другие сертификаты Yandex Cloud или иных облачных провайдеров * Получили сертификаты, связанные с PostgreSQL, ClickHouse, Greenplum, Kafka, Redis, MongoDB, MySQL, Elasticsearch/OpenSearch * Писали скрипты на Bash, Python, Golang

Команда Yandex Cloud расширяет количество доступных сервисов и совершенствует свои продукты. Мы ищем системного инженера, который поможет решать технические проблемы пользователей инфраструктурного облака. Откликайтесь, если способны разбираться в нестандартных ситуациях и предлагать решения. Команда Yandex Cloud непрерывно расширяет количество сервисов и совершенствует уже имеющиеся продукты. Одновременно стремительно растёт число наших клиентов и круг задач, которые мы помогаем решить. Мы ищем талантливых специалистов в области поддержки, способных быстро разбираться в технических проблемах пользователей инфраструктурного облака. Хорошо, если вы умеете общаться с людьми в стрессовых ситуациях, работали с распределёнными многокомпонентными инфраструктурами, способны диагностировать корневые причины проблем и предлагать решения. Обязанности Консультировать клиентов Yandex Cloud по вопросам, возникающим в ходе пользования сервисами облака Вам предстоит заниматься развёртыванием тестовых стендов для диагностики managed-решений Yandex Cloud и искать оптимальные способы реализации сценариев клиентов, воспроизводить сложные технические кейсы пользователей, решать их, а при необходимости инициировать решение на уровне сервисов. Важная задача — своевременно распознавать технические инциденты на инфраструктуре и совместно с командами сервисов участвовать в их решении, сотрудничать с senior-инженерами направления в ходе решения обращений. Больше о том, что под капотом платформы Yandex Cloud, — в канале Inside Yandex Cloud Требования * Занимаетесь системным администрированием и траблшутингом Linux-систем и сетевых технологий на middle-уровне * Работали с Docker, Kubernetes, CI/CD-системами, RBAC, системой сетевой балансировки и занимались настройкой, траблшутингаом одной из систем оркестрации * Работали с системами мониторинга, например Prometheus или Grafana Будет плюсом * Работали с Terraform, системами управления конфигурациями Puppet, Chef, Ansible, Salt * Получили сертификат Yandex Cloud Certified Engineer Associate, другие сертификаты от Yandex Cloud или иных облачных провайдеров * Имеете сертификаты, связанные с контейнерными решениями * Писали скрипты на Bash, Python, Golang

Yandex Cloud — технологическая платформа для создания и развития ИТ-продуктов. Архитектор решений помогает выбирать оптимальный способ решения бизнес-задач и внедрять клиентские решения на облачной платформе. Ждём, что вы работали с облачными решениями. Yandex Cloud — технологическая платформа для создания и развития ИТ-продуктов. Архитектор решений — ключевая роль в клиентской организации Yandex Cloud. Он помогает выбрать оптимальный способ решения бизнес-задач и руководит внедрением клиентских решений на облачной платформе. Если вы глубоко разбираетесь в технологиях и обладаете незаурядными коммуникативными навыками, ждём ваше резюме. Обязанности * Вместе с менеджером по продажам выявлять и квалифицировать потребности ключевых заказчиков * Консультировать заказчиков о сложных кейсах в работе с инструментами Yandex Cloud * Анализировать требования заказчика к платформе * Выбирать оптимальный сценарий решения задач заказчика на платформе Yandex Cloud * Консультировать заказчика на этапах проверки концепции, тестирования и внедрения продукта Больше о том, что под капотом платформы Yandex Cloud, — в канале Inside Yandex Cloud Требования * Работали в качестве архитектора решений от 3 до 6 лет * Участвовали в пресейл-активностях с коммерческими и государственными заказчиками * Работали с облачными решениями Google Cloud Platform, AWS, Microsoft Azure * Понимаете принципы работы платформы виртуализации, сетей, технологии хранения данных * Знаете принципы работы Kubernetes и архитектуру микросервисных приложений * Знакомы с платформами хранения и обработки данных и аналитики * Понимаете современные технологические и бизнес-задачи заказчиков в банковской сфере, ритейле, медиа, электронной коммерции, продаже товаров повседневного спроса Будет плюсом * Имеете опыт эксплуатации контейнерных платформ и CI/CD-систем * Знаете инструмент Terraform * Понимаете архитектуру бэкенда и фронтенда приложений * Имеете опыт разработки на языках программирования

Платформа Security Deck помогает компаниям снижать риски в облачной инфраструктуре. Мы ищем архитектора, который станет техническим партнёром клиентов и поможет им пройти путь от знакомства с Security Deck до её использования. Это роль на стыке cloud security, архитектуры и консалтинга. Мы развиваем Security Deck — Cloud-Native Application Protection Platform (CNAPP) Yandex Cloud, которая помогает компаниям видеть и снижать риски в облачной инфраструктуре. Security Deck объединяет управление конфигурацией и соответствием требованиям, анализ прав доступа, защиту Kubernetes и данных, инвентаризацию активов и работу с проблемами безопасности. Наша цель — дать специалистам по ИБ единый инструмент, который помогает не просто находить нарушения, а понимать их контекст, приоритизировать риски и доводить исправления до результата. Мы ищем архитектора, который станет техническим партнёром клиентов и поможет им проходить весь путь от знакомства с Security Deck до промышленного использования. Ваша миссия — связывать возможности Security Deck с реальными задачами заказчиков. Вы будете разбираться в облачной архитектуре клиентов, моделях угроз и процессах ИБ, проектировать целевой сценарий использования CNAPP, проводить демонстрации и пилоты, а также помогать заказчикам внедрять Security Deck в их технологический и организационный контур. Это роль на стыке cloud security, архитектуры, консалтинга и развития продукта. Обязанности Технический пресейл и работа с заказчиками Вы будете выявлять задачи, ограничения и критерии успеха заказчика; изучать архитектуру облачной инфраструктуры, модель доступа и процессы управления безопасностью; проводить технические презентации и демонстрации Security Deck для ИБ-, DevSecOps-, DevOps- и Cloud-подразделений; объяснять ценность CNAPP техническим специалистам, руководителям ИБ и бизнес-заказчикам; готовить архитектурные схемы, технические предложения, планы внедрения и ответы на требования заказчиков; участвовать в сложных конкурентных сделках и аргументированно сравнивать Security Deck с другими CNAPP- и CSPM-решениями. Проектирование сценариев Security Deck Вместе с клиентом вы определите, как Security Deck должен использоваться в его инфраструктуре. В эту задачу входят инвентаризация облачных активов и единое представление об их защищённости, поиск небезопасных конфигураций и контроль cloud security posture, анализ избыточных прав пользователей и сервисных аккаунтов, контроль безопасности Kubernetes, обнаружение рисков хранения и обработки данных, проверка соответствия политикам и стандартам, приоритизация findings с учётом критичности ресурса, настройка уведомлений, исключений и процессов устранения, интеграция с SIEM, SOAR, Service Desk, построение сценариев для гибридной и мультиоблачной инфраструктуры. Проведение пилотов и внедрений Вам предстоит брать на себя техническое ведение пилотных проектов: это формирование scope и критериев успешности, план работ и программа испытаний, подключение облачной инфраструктуры и источников данных, настройка политик, правил и областей контроля, анализ результатов сканирования, совместный разбор findings с командами ИБ и эксплуатации, рекомендации об устранении нарушений, демонстрация измеримого результата и помощь в переходе от пилота к промышленному использованию. Иногда потребуется самостоятельно разобраться в конфигурации IAM или Kubernetes, проанализировать логи, проверить API-вызовы, подготовить Terraform-конфигурацию либо помочь клиенту сформировать политику безопасности. Развитие продукта Вы как один из главных источников клиентской экспертизы для продуктовой команды будете собирать и структурировать обратную связь, отличать частные запросы клиентов от системных продуктовых потребностей, формировать feature requests и требования к интеграциям, выявлять пробелы в пользовательском пути, помогать приоритизировать развитие CSPM, KSPM, CIEM, DSPM и других компонентов платформы, прорабатывать новые сценарии и проверять их на реальных заказчиках, анализировать причины перехода пилотов в эксплуатацию. Развитие экспертизы и базы знаний Вам предстоит создавать типовые архитектуры внедрения Security Deck, готовить документацию, инструкции, ТЗ и программы испытаний, описывать сценарии устранения типовых проблем безопасности, разрабатывать демостенды и материалы для пилотов, обучать команды продаж, партнёров и технических специалистов, проводить воркшопы, вебинары и разборы клиентских кейсов. Больше о том, что под капотом платформы Yandex Cloud, — в канале Inside Yandex Cloud Требования * Больше трёх лет работали в customer-facing-роли: архитектором, пресейл-инженером, консультантом или специалистом по внедрению решений ИБ * Понимаете архитектуру публичных облаков и модель разделения ответственности * Знаете основные риски облачной инфраструктуры: ошибки конфигурации, избыточные права, публичный доступ, небезопасные сетевые настройки, утечки секретов и недостаточную наблюдаемость * Понимаете назначение CNAPP, CSPM, KSPM, CIEM, DSPM или близких классов решений * Знакомы с IAM, сервисными аккаунтами, ролями и принципом минимальных привилегий * Уверенно работаете с Kubernetes и понимаете типичные риски безопасности контейнерной инфраструктуры * Умеете читать логи, анализировать findings и находить первопричину проблемы * Можете спроектировать пилот, сформулировать критерии успеха и довести проект до измеримого результата * Умеете объяснять сложные технические вопросы как инженерам, так и руководителям * Готовы самостоятельно погружаться в архитектуру и задачи заказчика, а не ограничиваться демонстрацией интерфейса * Читаете техническую документацию на английском языке Будет плюсом * Работали с Yandex Cloud, AWS, Azure, GCP или другими облачными платформами * Внедряли CNAPP, CSPM, SIEM, SOAR, VM, EDR, DLP или решения для безопасности Kubernetes * Знакомы с Terraform, CLI и API облачных платформ * Понимаете DevSecOps-практики и процессы безопасной разработки * Работали с compliance-требованиями и стандартами: PCI DSS, 152-ФЗ, ГОСТ, ISO 27001 и другими * Участвовали в построении модели угроз или облачной архитектуры безопасности * Интегрировали средства защиты с SIEM, Service Desk и системами автоматизации * Проводили технические воркшопы, вебинары или публичные выступления * Имеете сертификаты в области облачных технологий или информационной безопасности