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Location: San Francisco, CA; Bellevue, Wa Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates. What You'll Do - Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives. - Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely. - Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work. - Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team. - Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams. - AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them. What You'll Bring - Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering. - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar. - Cloud: Hands-on experience with GCP, AWS, or another major cloud provider in production. - CI/CD: Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar. - Containers: Production experience with containers and container orchestration, such as Kubernetes. - Core Technical Skills: Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems. - AI in Your Workflow: Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit. We’ll help you ramp up on how we use AI here. Nice to Have - Familiarity with API gateways, load balancers, or CDNs. - Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM. - Experience with GPU workloads or ML infrastructure. - Experience with message queuing systems. Location & Work Model This role is based in our San Francisco or Sunnyvale, CA office, or in Bellevue, WA. We work in a high-collaboration environment and ask team members to be on-site a minimum of 3 days per week. Compensation & Benefits The base salary range for this position is $171,000 - $230,000 for Bay Area candidates and $162,500 - $218,500 for Seattle/Bellevue candidates. Actual salary is based on assessed skills, experience, and location. This role is also eligible for equity, bonus, and benefits. Your recruiter can answer questions about total compensation during the hiring process. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

- Разрабатывать приложения под Android на Kotlin. - Улучшать внутренние процессы разработки, проводить ревью кода.

Location: Algiers; Bordj Bou Arréridj; Skikda; Khenchela; Aflou; Ouargla; Marrakech; Tlemcen; Oran; Tunis; Djelfa; El Aricha; Agadir; El Kantara; Saïda; El Tarf; Mascara; Béni Abbès; Médéa; Laghouat; Tetouan; Chlef; M'Sila; Djanet; Nabeul; Béchar; Adrar; Messaad; Sfax; Oum El Bouaghi; Barika; Oujda; Aïn Témouchent; Tébessa; Aïn Defla; El Abiodh Sidi Cheikh; Aïn Oussera; Souk Ahras; Béjaïa; Jijel; Boumerdès; Sidi Bel Abbès; Touggourt; Monastir; Tissemsilt; In Salah; Timimoun; Bir El Ater; Tizi Ouzou; Kairouan; Bizerte; Batna; Mila; Bouira; Bou Saâda; Fes; Biskra; Constantine; Ariana; Ksar Chellala; Rabat; El Oued; Kenitra; Casablanca; Ghardaïa; Ouled Djellal; Bordj Badji Mokhtar; Relizane; Tiaret; Tindouf; Sousse; El M'Ghair; Guelma; Illizi; El Meniaa; Naâma; Tangier; Anaba; El Bayadh; Sétif; Ksar El Boukhari; Blida; Gabes; Tamanrasset; Tipaza; Mostaganem; Meknes; In Guezzam; Ben Arous Workplace: Remote ABOUT US Base360.ai http://Base360.ai is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot. Born out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai http://Base360.ai is now launching as a standalone platform for short-term rental operators worldwide. The Flex is the biggest short-term rental operator in Algeria and the best in the country. We bring reservations, guest communication, pricing, payments, cleaning, maintenance and reporting into one platform, helping operators automate manual work, reduce costs, increase revenue and scale their portfolios. We are looking for a highly ambitious Software Engineer based in North Africa (Algeria, Morocco or Tunisia) who wants to build systems that solve real problems at scale. You will build, ship, automate and deliver products that directly impact property managers, their teams and their guests. If you are excited by APIs, automation, AI agents, cloud infrastructure and building products from the ground up, we want to meet you. WHAT YOU WILL BUILD You will help build and scale Base360.ai http://Base360.ai, the platform powering every part of a short-term rental business: customer-facing products, automation engines, AI-powered workflows, integrations and operational systems. Your work will span the full short-term rental lifecycle: listing distribution, pricing and bookings, guest stays, property operations and financial reporting. YOUR MISSION BUILD THE CORE PLATFORM Design and develop scalable applications, services and APIs for reservations, availability, pricing, payments, guest experiences and property operations. CREATE POWERFUL AUTOMATIONS Build event-driven workflows that remove repetitive work, from scheduling cleaning after a booking to sending check-in instructions and generating owner statements. DEVELOP AI-POWERED SYSTEMS Use LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions and help operators manage their portfolios. DESIGN API-FIRST ARCHITECTURE Create robust APIs that connect internal services, booking channels, third-party providers and customer systems. INTEGRATE THE ECOSYSTEM Build and maintain integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, OpenAI, Google and other partners across the short-term rental ecosystem. SOLVE COMPLEX OPERATIONAL PROBLEMS - Real-time reservation and availability sync - Dynamic pricing intelligence - Smart lock access and key management - Automated guest communication across channels - Cleaning and maintenance automation - Owner reporting and financial workflows - AI-powered monitoring and alerts MOVE FAST AND OWN DELIVERY Own projects end to end: from understanding an operator's problem to architecture, implementation, deployment and ongoing improvement. TECH STACK We care more about capability than specific technologies, but our current stack includes: - Python, FastAPI - React, TypeScript - Supabase, PostgreSQL - AWS, serverless architecture - OpenAI APIs, Twilio, Stripe - Docker, GitHub Actions YOU MIGHT BE A GREAT FIT IF YOU HAVE - Experience building and owning production software - Experience with Python, FastAPI, React or similar frameworks - A solid understanding of APIs, databases and cloud architecture - The ability to work independently and make sound technical decisions - Strong problem-solving skills and a product mindset - Curiosity about AI, automation and operational efficiency - A bias toward action, shipping and learning from real users Bonus points for experience with short-term rentals or hospitality tech, multi-tenant SaaS, booking channel integrations, AI agents, event-driven architectures, Supabase or AWS serverless. WHY JOIN US - Build something meaningful: solve problems short-term rental operators face daily, with direct access to The Flex's operations to test ideas. - Extreme ownership: real freedom and responsibility over technical decisions. - Small team, massive opportunity: work closely with the founders and shape the product. - Learn faster: software, AI, automation and hospitality operations, all at once. - Performance-based rewards: competitive pay with real upside for exceptional performers. - Remote in North Africa: work from anywhere in Algeria, Morocco or Tunisia. We care about outcomes, not hours. THIS ROLE IS NOT FOR YOU IF - You want a slow-paced corporate environment - You prefer a narrowly defined role with limited product involvement - You need detailed instructions for every task - You avoid ownership and accountability We are looking for someone who wants to help build the AI operating system for the short-term rental industry. #LI-Remote

-В этой роли одинаково важны технический интерес и внимательность к проектным деталям. -Собирать контекст по проекту: документы, переписку, договоренности, требования и ограничения.

Location: Mapbox UK Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  The Maps API team builds and maintains the applications and infrastructure responsible for creating and distributing Mapbox maps https://www.mapbox.com/maps. Thousands of customers rely on our services to seamlessly handle billions of requests every day, scale in real-time to global events, and enable designers, developers, and analysts to make and share maps we’ve never dreamed of. Delivering maps means delivering a model of the world that’s changing all the time and needs to automatically support the world’s edge cases – writing systems, fonts, local regulations, and global boundary disputes. Our team maintains the highest-traffic read APIs at Mapbox and the distributed ETL pipelines used by internal and external customers to turn data into maps. We’re building new ways for people to visualize location data. Check out our Mapbox maps https://www.mapbox.com/maps! As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Software Development Engineer III on the Maps API team, you will be responsible for balancing rapid development of new mapping tools against the reliability of our services as they scale into new request volumes, markets, and use cases. In a single week on the Maps API team, you might write application code robust to a world’s worth of data, build and deploy microservices, diagnose complex system behavior as global markets drive traffic in unexpected ways, or facilitate continuous delivery at Mapbox. In this role, you can expect to: - Lead your engineering team to identify and scope out well-defined tasks. - Execute on the scope and be accountable for delivering on time with quality. - Design systems and make architectural decisions that will keep pace with the rapid growth of Mapbox’s customer base. - Mentor your peers through 1:1s, facilitating design and code reviews, and providing continuous guidance to foster professional growth and technical excellence. - Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, writing documentation, and being on-call to support the health of our services. - Reduce technical debt, share your knowledge, and invest in your teammates’ health and happiness, while optimizing application performance and accelerating feature velocity. - Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of experience building scalable high volume low latency backend services. - Proficiency with Python, NodeJS, and native AWS (CDK, ECS, Step Functions, Lambda, S3, RDS, CloudWatch, CloudFront). - Experience building mapping and geospatial related products. - Familiarity with code versioning tools, such as GitHub. - Able to perform independently all the development tasks, based on designs and specs. - Self-starter who is communication and outcomes-oriented. - An empirical analytical approach. You develop strong hypotheses, conduct spikes, and clearly communicate your findings. - A desire to share your expertise through documentation, mentorship, pairing, and both written and verbal discussion. - A desire to work with and lead individuals with diverse backgrounds, perspectives, and experiences. - High quality mindset -- write unit tests, proactively remedy defects and follow through to production. NICE TO HAVE TRAITS FOR THIS ROLE - Proficiency in C++ WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Mapbox Helsinki Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  The Maps API team builds and maintains the applications and infrastructure responsible for creating and distributing Mapbox maps https://www.mapbox.com/maps. Thousands of customers rely on our services to seamlessly handle billions of requests every day, scale in real-time to global events, and enable designers, developers, and analysts to make and share maps we’ve never dreamed of. Delivering maps means delivering a model of the world that’s changing all the time and needs to automatically support the world’s edge cases – writing systems, fonts, local regulations, and global boundary disputes. Our team maintains the highest-traffic read APIs at Mapbox and the distributed ETL pipelines used by internal and external customers to turn data into maps. We’re building new ways for people to visualize location data. Check out our Mapbox maps https://www.mapbox.com/maps! As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Software Development Engineer III on the Maps API team, you will be responsible for balancing rapid development of new mapping tools against the reliability of our services as they scale into new request volumes, markets, and use cases. In a single week on the Maps API team, you might write application code robust to a world’s worth of data, build and deploy microservices, diagnose complex system behavior as global markets drive traffic in unexpected ways, or facilitate continuous delivery at Mapbox. In this role, you can expect to: - Lead your engineering team to identify and scope out well-defined tasks. - Execute on the scope and be accountable for delivering on time with quality. - Design systems and make architectural decisions that will keep pace with the rapid growth of Mapbox’s customer base. - Mentor your peers through 1:1s, facilitating design and code reviews, and providing continuous guidance to foster professional growth and technical excellence. - Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, writing documentation, and being on-call to support the health of our services. - Reduce technical debt, share your knowledge, and invest in your teammates’ health and happiness, while optimizing application performance and accelerating feature velocity. - Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of experience building scalable high volume low latency backend services. - Proficiency with Python, NodeJS, and native AWS (CDK, ECS, Step Functions, Lambda, S3, RDS, CloudWatch, CloudFront). - Experience building mapping and geospatial related products. - Familiarity with code versioning tools, such as GitHub. - Able to perform independently all the development tasks, based on designs and specs. - Self-starter who is communication and outcomes-oriented. - An empirical analytical approach. You develop strong hypotheses, conduct spikes, and clearly communicate your findings. - A desire to share your expertise through documentation, mentorship, pairing, and both written and verbal discussion. - A desire to work with and lead individuals with diverse backgrounds, perspectives, and experiences. - High quality mindset -- write unit tests, proactively remedy defects and follow through to production. NICE TO HAVE TRAITS FOR THIS ROLE - Proficiency in C++ WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Berat, Albania; Belgrade, Serbia; Athens, Greece; Crete, Greece; Podgorica, Montenegro; Skopje, North Macedonia; Zagreb, Croatia; Cluj-Napoca, Romania; Pondicherry, India; Petten, Netherlands; Aachen, Germany; Abidjan, Côte d'Ivoire; Alexandria, Egypt; Ahmedabad, India; Algiers, Algeria; Alkmaar, Netherlands; Almaty, Kazakhstan; Amersfoort, Netherlands; Amman, Jordan; Amsterdam, Netherlands; Antalya, Türkiye; Astana, Kazakhstan; Asunción, Paraguay; Augsburg, Germany; Aya Napa, Cyprus; Bad Homburg, Germany; Baden-Baden, Germany; Baku, Azerbaijan; Barcelona, Spain; Batumi, Georgia; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Birżebbuġa, Malta; Bishkek, Kyrgyzstan; Bolzano, Italy; Bordeaux, France; Bramsche, Germany; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucharest, Romania; Bucuresti, Romania; Budapest, Hungary; Cairo, Egypt; Chemnitz, Germany; Chișinău, Moldova, Republic of; Copenhagen, Denmark; Darmstadt, Germany; Delhi, India; Mirpur, Bangladesh; Dnipro, Ukraine; Dresden, Germany; Dublin, Ireland; Dusseldorf, Germany; Düsseldorf, Germany; Guayaquil, Ecuador; Emmen, Switzerland; Erevan, Armenia; Essen, Germany; Fatorda, India; Helsinki, Finland; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Grenoble, France; Gżira, Malta; Haifa, Israel; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Hyderabad, India; Bangalore, India; istanbul, Türkiye; Istambul, Türkiye; Istanbul, Türkiye; Ankara, Türkiye; Jakarta, Indonesia; Karlsruhe, Germany; Kharkiv, Ukraine; Kiel, Germany; Koln, Germany; Krakow, Poland; Krosno, Poland; Kuala Lumpur, Malaysia; Kyiv, Ukraine; Larnaca, Cyprus; Leipzig, Germany; Leverkusen, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Solutions Architect to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. The role responsibilities consist of two primary parts: client facing technical representative of the team and the technical lead for the development team. This client-facing part requires comfort in deep-dive technical workshops and in board-level sales presentations. The development leadership should include creation of technical architecture documentation; working with the QA lead to define the test strategy; leading DevOps to define and implement CI/CD pipelines; ensuring that implementations meet non-functional requirements Java platform knowledge. Experience with Spring, Maven and GitHub; Understanding of Service Oriented Architectures (SOA), as well as Micro-Services Architecture; Knowledge of JavaScript frameworks, MVC patterns and principles of REST APIs, OpenAPI, Integration Platforms, API Gateway, etc. Knowledge of native mobile development is an advantage. Ability to quickly understand new architectural frameworks and best practices; Professionally worked with Enterprise Integration Patterns and Frameworks; Operational knowledge of application servers, databases, load balancers and other infrastructure components required to deploy web applications in a highly available and scalable environment; Good communication and presentation skills. Experience with designing solutions for financial services (especially banking); Experience with server virtualization and containers technology such as Docker, Kubernetes, Helm, ArgoCD.

Location: Yerevan, Armenia Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a QA Engineer (all genders) to actively contribute to manual testing as well as driving test automation for our products. Write, review and execute test plans and test cases throughout the development life cycle Ensure test plans thoroughly cover all requirements and customer use cases Develop automated tests for the most important test suites and set them up under CI/CD Actively participate in refinement sessions of the team and provide feedback from the end-user perspective Closely work with QAs from other teams on common topics (e.g., test strategy, tooling, best practices) Foster a continuous improvement approach to QA activities Monitor, troubleshoot and maintain daily automated regression runs Requirements A university or college degree in Computer Science, Information Technology, or a similar subject is required At least 5 years of experience in manual and automation testing is required Proven skills and working history in designing and implementing automated tests (including test planning, maintenance, and reporting) Solid understanding of software testing fundamentals (test design techniques, defect lifecycle, root cause analysis) Good operating system knowledge, including troubleshooting and working with at least one desktop OS (Windows, macOS) and/or Linux at an advanced level (command line basics, logs, processes, networking basics) Test management: TestRail (or similar) Automation frameworks/tools: Ranorex or Selenium (C#) CI/CD: Experience integrating automated tests into CI pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps) Fluency in English is mandatory; additional languages are a plus What we offer The work location is our office in Yerevan, Armenia Onsite Onboarding  in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and regular salary reviews Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Public transport-friendly office E-car charger at our parking Monthly breakfast Open door policy, no dress code rules, frequent all-hands Hybrid work time with up to 50% home office We celebrate diversity as one of our core values, and join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

- Развивать backend на NestJS: писать REST API, обрабатывать вебхуки от платежных систем, обеспечивать идемпотентность запросов.

Zenus is looking for a Secure Site Reliability Engineer to automate and enforce security controls across CI/CD pipelines, monitor control execution, and maintain audit evidence.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior Full-Stack Software Engineer to join our team and work on an orchestration platform for a leading global fintech company. The platform enables business partners to integrate once and offer a growing range of embedded financial products to their clients. In this role, you’ll develop and maintain React.js applications, embeddable widgets, and .NET services, contribute to AWS-based solutions, and support the delivery of secure, reliable, production-ready software. 🟩 What's in it for you: Help shape a growing platform that enables a wide range of embedded financial products Tackle complex engineering challenges across React.js, .NET, AWS, and partner integrations Influence technical decisions, guide the team, and stay hands-on with development ✅ Is that you? 10+ years of experience developing and supporting production software Strong C#/.NET Core skills, including REST APIs, dependency injection, async programming, testing, and secure coding Hands-on experience with React.js, JavaScript/TypeScript, component architecture, state management, HTML, and CSS Experience with PostgreSQL, MongoDB, or similar relational and document databases Experience with microservices, API-first development, third-party integrations, and resilient distributed systems Hands-on experience with AWS, Docker, and Kubernetes/EKS Ability to write automated unit and integration tests and troubleshoot UI, API, data, and cloud issues Experience with Git workflows and CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI Ability to translate requirements into maintainable, well-documented solutions Experience providing technical leadership and guidance to engineering teams Valid U.S. visa and ability to travel to the U.S. for onboarding and knowledge transfer Desirable: Experience with embeddable widgets, micro-frontends, white-label apps, or multi-tenant SaaS Experience with AWS Lambda, Step Functions, ECS batch, S3, KMS, certificate or secret management Exposure to Python services, data pipelines, and unittest Experience with Terraform/Pulumi and GitOps tools (Argo CD) Experience with Splunk, Datadog, Grafana, CloudWatch, distributed tracing, and incident support Background in financial services, payments, embedded finance, lending, or banking 🧩Key responsibilities and your contribution In this role, you’ll combine hands-on engineering with technical leadership to deliver high-quality, reliable software solutions. Develop and maintain React.js applications, portals, and embeddable widgets Build secure REST APIs and microservices using C# and .NET Core Implement business workflows and integrations with finance providers, partners, enterprise APIs, webhooks, file exchanges, and AWS services Design and maintain PostgreSQL and MongoDB schemas, queries, migrations, and data-access patterns Contribute to AWS workloads using EKS, Lambda, containers, and Step Functions or equivalent orchestration Write unit, component, integration, contract, and end-to-end tests Build reusable UI components and improve accessibility, performance, and maintainability Guide engineers and contribute to API/event-contract design, code reviews, architecture discussions, and documentation Support infrastructure automation using CI/CD, Docker, Kubernetes, and infrastructure as code Implement logging, metrics, tracing, and alerts; troubleshoot issues across application layers Collaborate with QA and operations on testing, release readiness, and recovery procedures Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Global - Remote About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Senior DevOps & Infrastructure Engineer Location : Brazil Experience Level: 5+ years in cloud, infrastructure, DevOps, SRE, or platform engineering Work Model: Remote within Brazil, with regular working-hour overlap with U.S. Pacific Time and participation in a global on-call rotation Why Join Turing? Join Turing's global Infrastructure Engineering team and help build the cloud infrastructure and developer platform that power our business. You will make the systems engineers rely on more reliable, secure, scalable, and efficient as the company grows. This is a hands-on role for an engineer who enjoys turning manual work into durable automation, solving difficult production problems, and raising the bar for operational excellence. You will work across cloud infrastructure, reliability, developer tooling, and security in close partnership with application and security teams. You will have meaningful ownership in a globally distributed team: working regularly with colleagues in U.S. Pacific Time, participating in the shared on-call rotation, and building systems that allow engineers to ship faster with confidence. As the Senior DevOps & Infrastructure Engineer, You Will Own Multi-Cloud Reliability Operate and continuously improve production infrastructure across GCP, AWS, and Azure. Lead incident response, troubleshoot complex issues, drive root-cause remediation, and improve monitoring, logging, alerting, performance, capacity, and cloud-cost efficiency. Build the Developer Platform Build and support engineering platforms, release pipelines, and deployment automation using GitHub Actions, Google Cloud Build, Jenkins, and related tooling. Develop reusable Terraform modules and automate workflows with Python, Go, Shell, or similar technologies. Operate Production Kubernetes Run production Kubernetes and GKE environments across deployment, scaling, networking, security, observability, and troubleshooting. Build infrastructure that is secure and scalable without making engineering teams slower. Secure Infrastructure by Default Design and troubleshoot cloud networking, including VPCs, firewalls, load balancers, routing, DNS, and WAFs. Partner with security and engineering teams on identity and access management, secrets management, network security, and broader infrastructure-security controls. Raise the Operating Standard Use AI-assisted engineering tools to improve log analysis, debugging, troubleshooting, and optimization. Collaborate on scalable architectures and production best practices, mentor engineers, and lead initiatives that improve reliability, security, and developer productivity. The Anti-Sell On-call is part of the job: You will participate in a shared global on-call rotation, respond to production incidents, and carry work through root-cause analysis and durable remediation. Broad infrastructure ownership: This is not a narrow CI/CD or cloud-administration role. You will work across GCP, AWS, Azure, Kubernetes, developer tooling, networking, security, and reliability. Hands-on engineering required: The role is for a builder who can write automation, develop Terraform modules, troubleshoot production systems, and make technical decisions directly. Global-team cadence: Regular working-hour overlap with U.S. Pacific Time is expected. Clear communication and dependable collaboration across time zones are core to the role. Our Senior DevOps & Infrastructure Engineers Typically Have Production GCP experience: Typically 5+ years in cloud, infrastructure, DevOps, SRE, or platform engineering, including hands-on ownership of GCP production environments. Infrastructure-as-code and delivery fluency: Independent experience with Terraform, CI/CD systems such as GitHub Actions, Jenkins, Cloud Deploy, or equivalents, and production Kubernetes. Cloud and networking depth: Strong knowledge of cloud architecture, distributed systems, VPCs, firewalls, load balancers, WAFs, and securing cloud environments. Automation capability: Strong scripting or programming skills in Python, Go, Shell, or equivalent technologies, with a bias toward replacing manual work with repeatable systems. Operational ownership: Experience handling complex incidents, conducting root-cause analysis, communicating clearly, and following through on improvements that prevent recurrence. Top-Tier Candidates Will Have Independent operational experience in AWS or Azure alongside GCP. Experience with configuration-management tooling such as Ansible, Chef, or Puppet. Experience securing containers across Docker, Kubernetes, or GKE. Experience with advanced GCP controls, including Organization Policies, VPC Service Controls, Access Context Manager, and Binary Authorization. Google Cloud Professional certifications or comparable cloud credentials. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Istanbul, Turkey Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote Workplace: Remote ABOUT BUFFER We create social media and brand-building software for small businesses, creators, and individuals. Our mission is to provide essential tools to help small businesses get off the ground and grow. Through exceptional customer service and uplifting content, we help our customers believe they can succeed and do good along the way. Buffer is a fully distributed team, and we’ve always aimed to do things a little differently. Since the early days, we’ve focused on building one of the most unique and fulfilling workplaces by rethinking a lot of traditional practices. We also default to transparency, so you can read all about our metrics, and our successes and failures along the way on our Transparency Dashboard https://buffer.com/open. We're united by Buffer's values https://buffer.com/about#values, and we hire and work from all over the world. We strive to create a diverse and inclusive work environment, and we are building a culture where underrepresented groups are welcome and can flourish. Please note that we do travel to work together in person once or twice per year, and those events are highly encouraged to build deeper connections among our small team. As you get to know Buffer and consider joining the journey, you can learn more about Buffer on our Journey https://buffer.com/journey page. Still curious to learn more about the experience on the Buffer team? Feel free to read more from Kirsti https://buffer.com/resources/first-30-days-buffer/ and Sabreen https://buffer.com/resources/joined-3-days-before-the-retreat/ as they share their first experiences with Buffer, as well as from Hailley https://buffer.com/resources/8-years-at-buffer/, who captured why she still calls Buffer home after 8+ years. While unusual at Buffer, we're looking for folks in a specific timezone range. This role is currently open to candidates based between UTC-3 and UTC+3. That gives you overlap with our current security engineer in Sri Lanka and most of our Engineering team, and lets the two of you share incident coverage so neither of you has to work through the night. ABOUT THE ROLE We're hiring a hands-on security engineer to be the tech lead for Buffer's Security team. You'll work alongside Adnan https://www.linkedin.com/in/adnanissadeen/, who has carried security at Buffer for years. Together, you’ll own security and compliance for a 15-year-old profitable company that is rebuilding itself around AI. Two things make this the right moment. Buffer’s product surface is growing: in May, we launched a public GraphQL API with an MCP server and CLI. More than 35,000 organizations have connected an AI tool to Buffer, and we are planning to build a plugin ecosystem on top. Internally, we're becoming an AI-native organization: MCPs on our Claude Team plan, custom connectors, internal tools, and Roo, our own internal agent. We're small and lean, with few processes, and we run on trust around access and permissions. We don't want to lose that, but the surface now grows faster than one person can cover. That means the usual security playbook won't work here. We don't buy enterprise plans for every tool, and we don't make people justify every access request. You’ll make the secure path the easy path to follow. Your role will be to set the direction for security at Buffer and to do much of the work yourself. You'll decide which open security problems to address first, write code to fix some of them, and lead incidents when they happen. We're looking for an enabler and a team player, not a gatekeeper. This is a generalist role by design. WHO YOU’LL WORK WITH You’ll report to Miguel, https://www.linkedin.com/in/migueldavid/ Engineering Manager for the Infrastructure and Security teams. Day-to-day, the Security team is you, Adnan, and Miguel. Adnan knows how everything at Buffer fits together and where the sharp edges are. Together, you’ll own planned security work as well as the work that keeps the lights on: the security inbox, requests from other teams, maintenance, and chores. You’ll lead the team’s direction and standards. You will also work closely with product engineering teams to ensure that what we build meets a strong security bar. That means collaborating on tech spec reviews and growing the group of security champions across the teams. Your peers from our Advocacy (customer support) and People teams will rely on you to support them with security and compliance needs that come up in their work, from customer security questions to vendor reviews and policy. WHAT YOU’LL BE WORKING ON - 🧭 Lead security at Buffer. Define the strategy and roadmap, set priorities, drive execution, and change how we work where it matters. If you see a problem outside your lane, say so and drive the fix. - 🧰 Build. Identify the problem, define the solution, then build it with Adnan: tooling, automation, processes. - 🔁 Put security in the development loop. Check on every PR, threat modeling in tech specs, dependency, secrets, and supply chain hygiene, and review steps that hold up as more of our code is written with AI agents. - 🔐 Advance operational security. Secure our day-to-day operations to meet industry-wide standards while maintaining the flexibility afforded by Buffer’s high-trust environment. - 💡 Keep the lights on. Security inbox, requests from other teams, maintenance and chores, shared with Adnan. Much of this is manual today, and we’d love you to automate what you can. - 🚨 Lead incidents and take part in our engineering-wide on-call rotation. Set the standard for how we run a security incident, then hold the team to it. Run tabletops with the rest of Engineering, and ensure the gaps are fixed. - 🤖 Secure the AI surface. Threat-model what we’re building, from agents with tool access to connectors and in-product AI, and set guardrails so Buffer can move fast on AI without guessing. - 🐛 Run vulnerability disclosure. Triage reports from outside researchers, fix or route the real ones, and decide how the program grows. - 🤝 Own compliance and customer trust. SOC 2 and Meta platform compliance are the big ones today. We want them to make Buffer safer, not only to pass audits, but also to automate evidence where you can. Security questionnaires reach us through Advocacy. Help answer them, and build what lets customers find answers on their own (a Trust Center, for example). HELPFUL SKILLS AND EXPERIENCE - You’ve been the senior security person somewhere without a CISO above you. You know what it means to set direction without a mandate and earn it through work. - You have hands-on application and API security depth in a multi-tenant SaaS, ideally one with a public API: authorization models, OAuth and OIDC, session and auth flows, IDOR and SSRF, and threat modeling. You've found these bugs and fixed them, not only reported them. - You write code. You can read and change a TypeScript codebase well enough to ship a fix and review someone else’s (legacy PHP and Python show up more rarely, too). - You’ve led security incidents end-to-end, including the writing of status updates, customer comms, and postmortems that people act on. - You’ve worked with AWS, Kubernetes, and Cloudflare, or similar, enough to reason about infrastructure risk with an infrastructure team. You don’t need to run it. - You’ve run a SOC 2 or similar program, or worked closely with one, and you’d rather automate evidence collection than do it by hand. - You've run or triaged a vulnerability disclosure or bug bounty program, and you can tell a real report from noise quickly. - You have strong opinions, and you can hold them loosely. You are comfortable disagreeing with a senior engineer’s design, and working together to find the best solution (sometimes changing your mind when their argument is better). - You’re fluent with modern AI tools, and you use them to multiply your output and your team’s. You’ve thought hard about securing systems that use them. - You thrive in remote, async environments, and you follow through. You're clear in your thinking and generous with context, and you close the loop on what you commit to. Most of your influence here will be written. - Bonus points if you’re already a Buffer user or familiar with social media management tools. OUR TECH STACK - Product. Node.js (TypeScript) across most services in a monorepo, backed by MongoDB; a REST API and PHP being retired for legacy services. iOS and Android apps. A public GraphQL API, MCP server, CLI, and connectors. - Infrastructure. AWS (EKS, IAM, SQS, S3, CloudFront), Terraform, ArgoCD, GitHub Actions, Cloudflare (WAF, Zero Trust, Workers, DNS). - Security and compliance. Vanta for SOC 2, Dependabot, gitleaks, AWS GuardDuty, Cloudflare WAF and Zero Trust, Action1 for device management, 1Password, and Google Workspace as the identity layer. - Observability and incidents. Datadog, Sentry, incident.io http://incident.io, and PagerDuty. - AI. Claude Team across the company, internal agents and MCP servers built in-house, in-product AI features. APPLY FOR THE JOB Do you believe you're a fit for this role and want to join the Buffer team? We'd love to hear about you! Here's what our hiring process looks like: 1. Application. A short form with your CV, LinkedIn, a few yes/no questions, and an example of your writing. 2. Questionnaire. If there’s a match, we’ll email you a short set of questions to learn a bit more about you! 3. Interview process: Meet with several teammates across a few Zoom calls, starting with Miguel https://www.linkedin.com/in/migueldavid/, Engineering Manager for Infrastructure and Security, and the hiring manager for this role, and then a handful of other Buffer teammates and peers. 4. Take-home exercise. During our interview process, we'll ask you to do an asynchronous task so we can see your work in practice and discuss it live. 5. Meet the CEO. Get to know Joel https://www.linkedin.com/in/joelgascoigne/, our Founder CEO. 6. Collaboration period. Two paid days working with the team on a real project, so that we can each see what it's like to work together. PRIVACY POLICY By submitting the application, you consent to Buffer collecting and processing your personal data for recruiting purposes. Find more details in our Privacy Policy https://buffer.notion.site/Privacy-Policy-for-Applicants-230a7f5a00fd80e48478f09171d18a24?pvs=143.