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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

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.   The difference you’ll make You’ll lead the Applied AI team within the wider AI Centre of Excellence, setting technical direction and managing the engineers who build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues. You’ll work closely with business verticals, engineering, security and senior stakeholders to turn business priorities into a clear roadmap and measurable outcomes. You’ll combine people management with hands-on technical leadership across applied and agentic AI workflows, SaaS services, integrations and data pipelines. You’ll guide architecture and delivery, develop the team’s capabilities and own relationships with third-party SaaS suppliers, ensuring our platforms are reliable, secure and deliver value for money. The team sits within Business IT & AI Operations. You’ll provide the direction, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively, balancing new opportunities with service quality, cost and long-term maintainability. Your day-to-day: - Lead and line-manage Applied AI engineers, setting clear goals, providing regular feedback and coaching, supporting career development and managing performance. Help recruit and onboard new team members as the team grows. - Set the team’s technical direction and delivery roadmap with business and technology stakeholders, prioritising work, allocating capacity and managing dependencies to deliver measurable business outcomes. - Provide hands-on technical leadership for applied and agentic AI workflows, integrations and automation pipelines, guiding architecture, reviewing designs and code, and contributing to complex or high-impact engineering work. - Set standards for building, testing and evaluating tool-using agents with Google ADK or similar frameworks, including safe tool access, human oversight and production readiness. - Own operational performance across AI-enabled services and SaaS platforms, including service health, access, releases, usage and cost. Lead incident escalation and continuous improvement, with clear evaluation criteria and service measures. - Own account management for third-party SaaS suppliers, acting as the primary relationship owner and running regular service and roadmap reviews. Hold suppliers accountable for agreed service levels, resolve escalations and coordinate their delivery with internal priorities. - Manage the supplier and contract lifecycle with procurement, finance, legal and security, covering selection, onboarding, licensing, commercial negotiations, contractual obligations, renewals, notice dates and exit planning. Own spend management for the team’s SaaS and AI services, working with finance to forecast and manage costs against agreed budgets, explain variances and optimise licences and consumption. Track adoption, spend and value, and inform build-versus-buy decisions. - Establish engineering and operational standards for secure change management, documentation, runbooks and governance. Communicate progress, risks and trade-offs clearly, and ensure services have clear ownership and support arrangements. Your skillset: - People & Delivery Leadership: Experience line-managing engineers, coaching and developing people, managing performance and leading delivery. Able to set direction, prioritise competing demands and build a collaborative, accountable team. - SaaS Supplier & Account Management: Experience owning third-party supplier relationships, service reviews, escalations, licensing and renewals. Commercial judgement and the ability to work with procurement, finance, legal and security to improve service quality and value for money. - SaaS Platform Ownership: Experience leading the administration and lifecycle management of cloud-based business systems, including configuration, user access, environments, integrations and releases. - Applied AI & Technical Direction: Strong experience delivering applied and agentic AI workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Able to make architecture and build-versus-buy decisions, establish engineering standards and guide others. Familiarity with Google ADK or similar frameworks is desirable. - Engineering & Integration: Strong hands-on engineering skills and experience designing and reviewing REST API, webhook and event-driven or scheduled integrations between SaaS platforms, AI services and backend systems. - Operational & Stakeholder Leadership: Experience operating production services in cloud environments, preferably Google Cloud Platform, using CI/CD, observability, incident management and secure operational practices. Able to explain technical and commercial trade-offs, influence stakeholders and connect delivery to business outcomes. The interview journey - Intro with a member of the Talent Acquisition team - 30 mins - 1st stage video interview with the hiring manager - 1 hour - Applied AI technical leadership, team management and SaaS supplier management task - Final stage with Director of Applied AI and senior stakeholders - 1 hour Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Singapore or Sydney About the department In this role, you will be focused on maintaining the Cloudflare global network. You'll work closely with Cloudflare’s SRE (Site Reliability Engineering) team, Network Engineering team, Network Deployment Engineering team and with various vendors and partners (including hardware vendors, datacenter and network providers, and ISPs) to maintain and improve our global infrastructure. You will further be responsible for the development and implementation of consistent processes and visibility measurements for consistent and effective management of our infrastructure. This is a highly visible position that requires deep technical understanding of datacenter infrastructure, networking (physical), and basic experience with data analysis and project management. To be successful in this position, you should have excellent technical skills, communication skills, and be able to navigate a range of challenges and constraints (e.g. schedule adherence, time zones, and cultures). You will have the opportunity to (literally) build a faster, safer Internet for our millions of users and the billions of web surfers that visit their sites each month. Who you are You will thrive in a hypergrowth engineering environment and be self driven with a keen attention to detail. You will come with a deep technical understanding of Data Center colocation environments, network architecture and server technologies. You will be used to working through partners to support infrastructure delivery to a number of remote locations. You will have had experience managing operational environments, and used to developing new approaches to improve delivery efficiency or operational stability. What you'll do Collaborating with internal teams (Infrastructure, Network Engineering and SRE). Create documentation and manage remote contractors to complete datacenter tasks, working with hardware manufacturers, datacenter and network providers, logistics partners and other service providers in support of our 330+ cities and 125+ countries Maintain Data Center environment operational availability Leverage AI tools to automate repetitive operational tasks, accelerate documentation, and speed up troubleshooting and root-cause analysis Creating and maintaining documentation, plans, SOP’s, MOP’s etc. Support and configure network infrastructure where required Providing feedback to internal teams to support internal tools and external vendor partnerships Required Experience Experience with Juniper, Cisco and DWDM network equipment Minimum of 4 years experience of Linux systems administration Experience managing and instructing remote contractors Familiarity with work required to stand up infrastructure in remote colocation facilities Experience running and improving operational processes, including automation tooling, in a rapidly changing environment Familiarity with day-to-day tasks and projects common to Data Center Operations (deployment, migration, decommissioning etc.) Comfortable handling basic program management responsibilities (prioritization, planning, scheduling, status reporting) such as JIRA Participate in a shared on-call rotation to maintain 24×7 operational availability of the global network. Other Responsibilities May Include Aggressively seek opportunities to introduce cutting-edge technology and automation solutions that are effective, efficient and scalable in order to improve our ability to deploy and maintain our global infrastructure Assist with the definition, documentation and implementation of consistent processes across all region Limited travel Examples of desirable skills, knowledge and experience Bachelor’s degree; technical background in engineering, computer science, or MIS Direct experience executing on complex data center/infrastructure projects Previous experience installing / maintaining data center (and other IT) infrastructure and DCIM tools Experience running and improving operational processes in a rapidly changing environment Strong verbal and written communication skills, problem-solving skills, attention to detail, and interpersonal skills Must be proactive with proven ability to learn fast and execute on multiple tasks simultaneously Ability to manage Microsoft Excel and Google Sheets Comfortable handling basic program management responsibilities (prioritization, planning, scheduling, status reporting) such as JIRA Must be a team player Bonus Points Experience working with infrastructure in multiple countries Comfortable with remote “lights-out” and out-of-band access to data center resources Linux certifications (RHCSA etc.) Network certifications (CCNA, JNCIA or higher) Configuration management systems such as Saltstack, Chef, Puppet or Ansible Scripting or software development experience in Bash, Python or Go-lang Familiarity with load balancing and reverse proxies such as Nginx, Varnish, HAProxy, Apache Experience in working within a large scale SaaS vendor 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.

Предстоит: Разрабатывать ETL-процедуры с использованием Python, PySpark, Hadoop, Airflow; Собирать данные из разных реляционных и нереляционных источников (Kafka, Redis, Hadoop);

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike. What you’ll do Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant. Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing. Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers. Collaborate with Product , Development , Infrastructure , Customer Success , and Sales teams to drive bug fixes, influence feature development, and help shape product goals and roadmap. Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them. Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently. Partner closely with Support Engineering team members through pairing sessions and stable counterpart relationships to share knowledge and solve problems together. Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews. What you’ll bring Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution. Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations. Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools. Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers. Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides. Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails. Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders. Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains. About the team The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s Transparency value, you can see what we are working on in our Support Team page. Additionally, you can see our company roadmap and meetings to see what we are working on at any time. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

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.

The Role As an Inside Solutions Engineer, you will collaborate with sales representatives and partners to showcase the value of BeyondTrust's products, services, and solutions. What You'll Do Assist with marketing campaigns, including webinars and product demonstrations.

Architect, build, test, deploy, and maintain scalable, automated ETL/ELT pipelines using Python, dbt, and orchestration tools such as Prefect and Airflow. Administer and optimize cloud-based data warehouse and lake platforms, including Snowflake, AWS (S3, Redshift), and Google Cloud, integrating new sources and tuning for performance and cost.

Location: Санкт-Петербург Workplace: Комбинированный Наша команда занимается внедрением AI в разработку на уровне всей компании VK. Наши клиенты — продуктовые команды из разных бизнес-юнитов компании. Сейчас мы активно развиваем свою платформу для создания автономных AI агентов-разработчиков, а также внедряем общие AI-решения для автономизации различных этапов цикла разработки. Ищем талантливого разработчика, которому интересны Agentic AI-системы, чтобы усилить нашу команду. Примеры задач: Улучшение облачной системы Sandbox'ов, предоставляющих безопасное изолированное окружение для работы автономных AI-агентов Разработка, улучшение и внедрение различных мультиагентных пайплайнов для автономизации SDLC Создание системы бенчмарков для оценивания эффективности автономных AI-агентов для разработки Улучшение качества работы автономных AI-агентов для разработки У нас интересно: Наша команда участвует в ключевых проектах компании Внутренние пользователи всегда рядом, сами приносят обратную связь и открыты к общению Разнообразные задачи и отсутствие рутины Широкие зоны ответственности и простор для творчества Нет лишней бюрократии Задачи Разработка платформы для создания автономных AI-агентов разработчиков Разработка и внедрение мультиагентных пайплайнов для автономизации SDLC Улучшение качества работы автономных AI-агентов разработчиков Требования Опыт коммерческой разработки production ready AI-систем Опыт или интерес к созданию инструментов для разработчиков: анализаторы кода, компиляторы, IDE-плагины, SWE AI-агенты и так далее Уверенные навыки по работе с AI-агентами в разработке и их применению в реальных задачах Понимание внутреннего устройства AI-агентов и базовых принципов agentic AI: prompt и context engineering для современных LLM, MCP, tool calling, etc. Опыт разработки и поддержки кода на Go (основной язык), Python или переход на них за испытательный срок Понимание принципов разработки ПО: подходы к тестированию и его виды, модели работы с Git, современные практики в CI/CD и всё остальное, с чем разработчики разных специализаций сталкиваются каждый день

Location: Москва Workplace: Офис, Гибридный Яндекс 360 — это виртуальный офис для работы команды. Мы создаём экосистему, которой пользуются миллионы людей и тысячи компаний. Ищем сильного CRE-инженера в нашу команду. Это идеальная роль для тех, кто любит сложные задачи в Linux и хочет видеть бизнес-результат своей работы. Яндекс 360 — это виртуальный офис для работы команды: корпоративная Почта, Диск, Документы, Телемост, Мессенджер, Доски, Трекер и Вики. Мы создаём экосистему, которой пользуются миллионы людей и тысячи компаний. Наше направление on-premise занимается поставкой этих сервисов в закрытые контуры крупных корпоративных заказчиков (Enterprise). Это сложные распределённые инсталляции, высокие требования к безопасности и надёжности. Мы ищем CRE-инженера (Customer Reliability Engineer), который станет мостиком между инфраструктурой заказчика и нашей разработкой, обеспечивая надёжную работу наших продуктов на стороне клиента. Вы столкнётесь с разными задачами на инфраструктуре заказчика. Это идеальная роль для тех, кто любит сложные задачи в Linux и хочет видеть бизнес-результат своей работы. Обязанности Решение сложных технических задач Вам предстоит разбираться в инцидентах, которые не смогла решить первая и вторая линии поддержки. Вы будете анализировать логи, дампы сетевого трафика, поведение ядра Linux и работу баз данных, чтобы находить корневую причину (Root Cause Analysis). Эксплуатация и внедрение Вы будете помогать заказчикам разворачивать и обновлять инсталляции Яндекс 360 на их серверах — вам предстоит работать с гетерогенными средами, где «железо» и сеть не под нашим прямым контролем. Автоматизация работы Вам нужно будет писать скрипты и инструменты (Python/Bash), а также создавать плейбуки. Влияние на продукт Вам предстоит отвечать за надёжность систем, передавать разработчикам качественную обратную связь «с полей», а также помогать адаптировать архитектуру сервисов под реалии on-premise-эксплуатации. Выстраивание коммуникаций Вы будете общаться с техническими специалистами и системными администраторами на стороне крупных заказчиков. Требования * Работали с базами данных: знаете основы администрирования PostgreSQL и S3-совместимых хранилищ, умеете писать простые SQL-запросы и читать логи БД * Глубоко знаете Linux: понимаете, как работает ОС «под капотом» (память, процессы, дисковая подсистема, namespaces), умеете пользоваться strace, tcpdump, lsof, perf * Разбираетесь в сетях: знакомы с моделью OSI, протоколами TCP/IP, знаете, как работает DNS, балансировка нагрузки (L3/L7), умеете диагностировать сетевые проблемы * Умеете программировать: пишете на Python для автоматизации рутины, уверенно владеете Bash * Знакомы с контейнеризацией: понимаете принципы работы Docker/Containerd, имеете опыт работы с оркестраторами (K8s) * Обладаете эмпатией: готовы погружаться в проблемы клиента и не просто «закрывать тикеты», а действительно решать задачу Будет плюсом * Работали в роли SRE, DevOps или системного администратора в HighLoad-проектах * Знаете системы управления конфигурациями (Ansible) * Умеете работать с мониторингом (Prometheus, Grafana, ELK-стек) * Понимаете CI/CD-процессы

Location: Москва Workplace: В офисе О компании ИТ поддержка VIP пользователей в юрлице Финтех: решение их запросов и инцидентов, поддержка VIP мероприятий и VIP переговорных Обязанности Осуществлять непосредственное выполнение ИТ запросов и инцидентов VIP пользователей; Подготавливать технику для выдачи VIP пользователям и выполнять дальнейшее ее сопровождение; Осуществлять техническую поддержку VIP переговорных и сопровождать мероприятия, проходящих в них. Требования Высшее образование по специальности техника или информационные технологии; Стаж работы не менее 3 лет в технической поддержке (Help Desk), преимущество получают кандидаты имеющие опыт работы с VIP пользователями; Знание современных инструментов автоматизации офисной деятельности; Знание современного компьютерного оборудования и программного обеспечения, концепции построения локальных сетей (активное/пассивное сетевое оборудование, топология, уровни взаимодействия), протоколов удаленного доступа (VPN); Знание базовых принципов информационной безопасности; Понимание принципов построения мультимедийных систем и сетапов для проведения трансляций на большое количество online участников; Настройка и обслуживание системы конференцсвязи (Shure, Bosch); Настройка и обслуживание системы синхронного перевода (Shure, Bosch, системы коммуникаций Zoom/МТС Линк); Настройка и обслуживание системы видеоконференцсвязи (Cisco, Yealink, облачные сервисы) хотя бы на уровне терминалов; Опыт в организации и техническом сопровождении массовых трансляций на большую online аудиторию (100+); Грамотная устная и письменная речь; Коммуникабельность, умение вежливо и понятно донести свою мысль до пользователя; Ответственность; Умение работать в команде; Способность работать в стрессовых ситуациях Условия Собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Участие во внешних IT конференциях. Наши эксперты выступают на ведущих профильных конференциях, таких как HighLoad++, DevOps Conf, Joker, AHA!, Матемаркетинг и другие. А еще мы организуем собственную масштабную конференцию True Tech Day и регулярно проводим митапы для разработчиков и инженеров. Полезные курсы и вебинары в корпоративном университете и электронную библиотеку; ДМС с первого месяца работы, включая стоматологию; Страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях; Отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день); Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Location: Москва Workplace: Гибридный О компании MTC Web Services (MWS) — бигтех-компания, предоставляющая облачные, AI-сервисы и платформенные решения под разные задачи бизнеса: от работы с данными до разработки продуктов и оптимизации процессов. Также мы запустили новую публичную платформу собственной разработки — MWS Cloud Platform. Ищем стажера Data Engineer в команду Dynamic Pricing. Продукт занимается созданием комплексного решения, которое позволяет гибко управлять ценами товаров/услуг/подписок в зависимости от профиля клиента и характеристик товара для достижения различных бизнес-целей. Обязанности Разрабатывать ETL-процедуры с использованием Python, PySpark, Hadoop, Airflow; Собирать данные из разных реляционных и нереляционных источников (Kafka, Redis, Hadoop); Создавать и наполнять витрины данных в Hive/Postgres/Greenplum; Писать базовые дата-процессы и поддерживать существующие пайплайны; Оформлять и актуализировать техническую документацию; Помогать в решении текущих технических задач (работа с мелкими файлами в Hadoop и др.); Участвовать в обсуждениях архитектуры и процессов обработки данных. Требования Студенты 3 - 6 курсов бакалавриата, специалитета или магистратуры; Хорошее знание Python; Уверенное знание SQL и умение работать с реляционной СУБД; Понимание принципов работы с Git; Базовое понимание концепций ETL и работы с данными. Условия График работы 40 часов в неделю; Гибридный формат работы; Развитие в командах профессионалов и опытный наставник, готовый делиться опытом; Мобильная связь за счет компании; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; Непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке.

Location: Москва Workplace: Гибридный О компании Big Data — один из ключевых юнитов МТС. Сегодня Big Data — это 20 петабайт данных, 5 000 метрик на профиль и 400 увлечённых профессионалов в команде. Наши технологии применяются практически во всех направлениях компании — маркетинг, обслуживание, планирование сети, HR, розница. Один из ключевых продуктов — рекомендательная платформа, которая использует всю мощь ML и больших данных для подбора наиболее релевантных айтемов для клиентов из каталогов МТС. Мы уже поставляем рекомендации в онлайн-кинотеатр КИОН, в читалку «Строки», МТС Банк, сервисы по продаже билетов, интернет-магазин и другие продукты экосистемы МТС. Сейчас мы объединяем рекомендательные движки в единую платформу, создаём универсальный поисковый движок, realtime-триггеры и масштабируем решения на все сервисы компании. Сейчас находимся в поиске Middle ML-инженера в RecSys. Стек - Python, Hadoop, Pytorch, Catboost, Triton, vLLM, FastAPI, k8s, PostgreSQL, Aerospike, Kafka, Airflow, GitLab CI, Grafana Обязанности Разрабатывать и обучать рекомендательные ML-модели от идеи до продуктивизации; Формулировать и проверять гипотезы по улучшению рекомендаций для роста бизнес-метрик клиентов; Внедрять ML-пайплайны в real-time сервисы и доводить модели до продакшена; Работать с рекомендательной платформой: использовать готовые наработки и активно контрибьютить в её развитие; Проводить исследовательские задачи — читать статьи, воплощать новые подходы, в том числе генеративные полки на основе предпочтений пользователей; Взаимодействовать с дата-инженерами по доработке витрин и пайплайнов, с аналитиками — по постановке и проверке A/B-тестов. Требования Уверенные навыки Python и хорошее знание теории вероятностей и математической статистики; Коммерческий опыт в Data Science от 2 лет и понимание ML-архитектуры — не только эксперименты в ноутбуке, но и реальные внедрения в продукт; Опыт разработки и продуктивизации ML-сервисов (от моделей до API); Опыт внедрения ML-пайплайнов в real-time сервисы; Опыт работы с шедулерами (Airflow или аналог), pyspark и SQL/NoSQL базами данных; Самостоятельность: умение предлагать технические и архитектурные решения, технологии и направления улучшений; Хорошие коммуникативные и аналитические навыки. Условия Собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Участие во внешних ИТ конференциях. Мы выступаем на HighLoad++, DataFest, Mobius, Test Driven Conf, Joker, DevOps, Матемаркетинг и даже проводим собственную конференцию по архитектуре True Tech Arch; Полезные курсы и вебинары в корпоративном университете и электронную библиотеку; ДМС с первого месяца работы, включая стоматологию; Страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях; Отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день); Гибридный формат работы; Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Location: Москва Мы строим с нуля экосистему интеллектуальных агентов для автоматизации процессов Блока строительства. Формируем ядро новой команды. Нам нужен универсальный инженер, который умеет не только писать промпты, но и проектировать архитектуру: от базы данных до сложного интерактивного интерфейса. Вы будете пилить готовые решения «под ключ» на стыке бэкенда, ML и фронтенда, напрямую влияя на то, как тысячи сотрудников оптимизируют свою работу. Обязанности * Проектировать архитектуру автономных LLM-агентов под бизнес-задачи. * Дообучать (_fine-tune_) фундаментальные модели (LLM/Vision) под специфику строительства и внутренних сервисов. * Строить enterprise-grade RAG-системы для извлечения знаний из тонн неструктурированных документов. * Внедрять MLOps: мониторинг качества, A/B-тесты новых версий моделей, глубокая оптимизация _latency/cost_ при инференсе. * Писать сложные цепочки промптинга (_prompt chains_) и управлять контекстом в мультиагентных сценариях. Требования * 3+ года продакшн-опыта в ML/AI. * Python — ваш родной язык. Глубокое знание PyTorch или TensorFlow. * Руки работали с актуальными моделями: GPT-family, LLaMA/Mistral, Kandinsky (или аналоги). * Экспертиза в построении пайплайнов: классический RAG, fine-tuning, продвинутый prompt engineering. * Опыт внедрения MLOps-практик: MLflow, Kubeflow, оркестрация контейнеров. * **Огромный плюс:** понимание работы баз данных и умение спроектировать API (FastAPI), чтобы связать агента с реальным миром. Условия * Офис класса А у метро Кутузовская * Гибрид или полная удаленка (по договоренности). * Ежегодный пересмотр зарплаты. * Корпоративный спортзал, зоны отдыха и сна прямо в офисе. * СберУниверситет: доступ к 400+ образовательным программам для роста. * Расширенный ДМС с первого дня, льготное страхование семьи и корпоративная пенсия. * Льготная ипотека: гибкий дисконт по кредиту, равный 1/3 ключевой ставки ЦБ. * Подписка СберПрайм на трех близких бесплатно. * Бонус за рекомендацию друзей в команду Сбера.

Location: Москва В Центре робототехники Сбера мы обучаем модели, которые должны управлять роботами в сложных реальных условиях. Для этого мало просто собрать большое количество данных: нужно понимать, какие записи полезны, где в них ошибки и каких примеров модели не хватает. Сейчас нам нужен Data Analyst / Data Engineer в Data Conveyor Team, который будет находить проблемы в данных, оценивать их качество и проверять через обучение моделей, как состав датасета влияет на результат. Это роль на стыке анализа данных, инженерии данных и практических ML-экспериментов: нужно не только строить проверки качества, но и запускать обучение или дообучение моделей на разных версиях данных, сравнивать метрики и превращать выводы в конкретные решения по сбору, разметке, фильтрации и выборке. Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * строить автоматические и полуавтоматические пайплайны проверки качества данных, чтобы находить технические и смысловые дефекты до попадания данных в обучение * запускать или сопровождать обучение и дообучение моделей на разных версиях датасетов, чтобы измерять влияние качества, состава и фильтрации данных на метрики модели * разрабатывать метрики качества данных и использовать их как диагностический сигнал до тех пор, пока не доказана связь с успешностью модели на роботе и в тестовых сценариях * формировать фильтры, уровни качества и стратегии выборки по качеству, разнообразию, задачам, объектам, окружениям, роботам, источникам и типам ошибок * проводить сравнительные эксперименты с составом данных, чтобы проверять, какие данные действительно помогают модели, а какие можно исключить или отправить на доработку * анализировать ошибки модели и переводить их в конкретные запросы на данные: что дособирать, что переразметить, что удалить, что добавить в выборку * готовить теги задач, объектов, окружений и ошибок, эталонные наборы примеров, правила контроля качества разметки и критерии приемки * исследовать, как изменения камер, конфигурации робота, калибровки или других сенсоров влияют на качество данных и результат модели * готовить краткие технические отчеты: гипотеза, данные, метрики, ограничения, выводы, рекомендуемые изменения для релиза датасета или плана сбора данных. Требования * 3+ года опыта в data analysis, data engineering, ML engineering, applied ML или близкой области * уверенный Python: pandas/polars, numpy, visualization, notebooks, batch data processing * SQL и опыт работы с большими датасетами, manifests, metadata, dashboards или analytics pipelines * понимание экспериментального дизайна: ablations, контрольные группы, statistical reliability, интерпретация метрик * базовое понимание ML training / eval loop и связи состава данных с метриками модели * умение анализировать мультимодальные данные: видео, временные ряды, actions, task metadata, labels * способность переводить наблюдения из данных и ошибок модели в actionable recommendations * хорошая письменная коммуникация для отчетов, журналов решений и постановки задач смежным командам. Будет плюсом: * опыт с robot learning, VLA, imitation learning, RL, CV/VLM datasets или embodied AI * опыт с W&B, MLflow, Hydra, experiment tracking, dataset lineage * опыт с annotation QA, active learning, data curation, anomaly detection или quality scoring * понимание domain shift, camera shift, embodiment gap, task transfer и data-centric AI * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы, адрес офиса Автозаводская 23а к2 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Миссия роли: стать лидером компетенций в команде, обеспечивая бесперебойную работу и развитие CI/CD-платформы для 400+ продуктовых сервисов, выступая ключевым экспертом для продуктовых команд при разборе платформенных ошибок и трансформируя пользовательские тикеты в системные улучшения продукта в рамках концепции RunForChange. Обязанности * лидерство процесса troubleshooting пользовательских тикетов на L1 * совершенствование процесса и качества разбора тикетов L1 по CI/CD * обработка инцидентов (диагностика, устранение, разбор первопричин (RCA)) * консультирование пользователей и команд разработки по работе с платформой, решение обращений пользователей по вопросам CI/CD и инструментам * координация проведения работ на стенде со смежными командами * сопровождение и отладка существующих pipeline (Jenkins и аналоги) * участие в развитии и улучшении пайплайнов совместно с командами развития * автоматизация рутинных операционных задач (Python, Groovy, Bash) * реализация собственных мониторингов для отслеживания качества сопровождаемых сервисов * работа с системами сбора метрик и логов (Prometheus, Grafana, ELK или аналоги) * реализовывать автоматизации для оптимизации внутренних трудозатрат и трудозатрат продуктовых команд. Требования * опыт работы с CI/CD пайплайнами (Jenkins-pipeline) * базовые знания Linux (Debian/RHEL-семейство) * понимание контейнеризации и оркестрации: Kubernetes и/или OpenShift — ключевой стек * навыки написания скриптов для автоматизации: Python и/или Groovy * базовое понимание работы nginx (конфигурация, диагностика проблем) * навыки анализа логов и диагностики сетевых проблем * понимание REST API, базовые навыки работы с curl/HTTP * понимание принципов сетевого взаимодействия (TCP/IP, DNS, балансировка). **Будет преимуществом:** * умение читать и разбирать чужие конфигурации и манифесты (YAML, Helm-чарты) * способность самостоятельно разобраться в незнакомом сервисе и помочь пользователю * опыт работы с Helm, Operators, кастомными ресурсами Kubernetes/OpenShift * опыт с брокерами сообщений (Kafka) * опыт с Terraform или Ansible * английский язык на уровне чтения технической документации. Условия * офис: г Москва, проспект Кутузовский, 32 * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); AU: Brisbane (243 Edward St) Workplace: Hybrid Senior Software Engineer, AI Enablement The role & impact You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day. This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey. The team & how they connect The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance. Initially, you will focus on - Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling - Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org - Developing guidance and best practice for authoring agent skills, including agents for remediation tasks - Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market Where and how you can work You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team. Here are some of the things we're looking for, for this role - You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly - You've built internal tools or platforms that other engineers genuinely relied on - Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live - You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background - You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading - You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.