Nimble | Career Page
13 active jobs
View all 13 jobsJob Openings Senior Cloud Operations Engineer About the job Senior Cloud Operations Engineer Senior Cloud Operations Engineer Location: Remote (Global) Team: Cloud Infrastructure / DevOps Summary You'll design, build, and operate the CI/CD and cloud infrastructure backbone that powers this client's software products across AWS, Azure, and GCP. You'll work directly with engineering teams to migrate on-prem workloads to the cloud, harden security, and automate everything that shouldn't be touched by hand. This is a hands-on engineering role — expect to write as much code as you do architecture. Requirements (Must-Haves) Excellent English communication skills — you'll interact directly with client-side engineering leads, present architecture decisions, and own cross-team coordination without hand-holding 7+ years of hands-on experience deploying and operating software on cloud infrastructure (AWS, Azure, or GCP) — real production environments, not sandbox tinkering 7+ years building and maintaining automated CI/CD pipelines — Jenkins, Bamboo, or equivalent; you should be able to debug a broken pipeline at 2am Strong Azure expertise — this is the primary cloud; Azure networking, IAM, monitoring, and PaaS services are day-to-day territory Proficiency in Infrastructure as Code — CloudFormation, Terraform, or Ansible; you've used it to build environments from scratch, not just tweak existing templates Expert-level scripting and programming — Python, Bash, and at least one compiled language (C#/.NET, Java); you write clean, reviewable code Solid grasp of security, access control, and compliance — you can configure least-privilege IAM, set up monitoring/alerting, and explain the security posture of an environment clearly Experience migrating on-prem applications to the cloud — you've done it at least once end-to-end, not just helped Hands-on with containerization — Docker and/or Kubernetes in production Requirements (Nice-to-Haves) Experience with multi-cloud environments — able to navigate differences between AWS, Azure, and GCP without starting from scratch each time Familiarity with compliance frameworks — SOX, HIPAA, or similar; you've worked in regulated environments and know what "audit-ready infrastructure" means Integration experience with on-prem enterprise tech — Microsoft, IBM, or HP stacks alongside cloud-hosted services Working knowledge of multiple OS environments — Windows and Linux are standard; macOS or mobile build environments are a plus Experience with APM and cloud monitoring tooling — Datadog, New Relic, CloudWatch, Azure Monitor — you set it up, you tune the alerts, you own the dashboards Bonus Points Hands-on Jenkins plugin ecosystem knowledge — build job configuration, front-end build pipelines, plugin management Experience with mobile build and test automation — iOS/Android CI pipelines are rare and valuable Cloud certifications — AWS Solutions Architect, Azure Administrator (AZ-104), or GCP Professional Cloud Architect Open source contributions or published tooling in DevOps/infrastructure space Experience with GitOps workflows (ArgoCD, Flux) — increasingly relevant for teams moving toward Kubernetes-native delivery Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 2 months ago
Job Openings QA Engineer About the job QA Engineer Senior QA Automation Engineer (AI-Forward) Location: Remote (Global) Team: Quality Engineering Summary You'll embed in our client's QA team, owning quality across their public-safety products. This is a hands-on QA role with heavy frontend test automation at its core — you'll build and maintain end-to-end suites, design test strategy, and catch what matters before it ships. What sets this role apart is how you work: you're relentlessly AI-forward, using AI tools to write tests faster, expand coverage, triage faster, and cut the repetitive parts of QA out of your day. The client operates under SOC 2 and CJIS constraints, so you'll work cleanly inside compliance guardrails. Requirements (Must-Haves) Excellent English communication skills — you'll work directly inside the client's QA team and write clear, defensible bug reports and test plans.5+ years in QA / test automation, with real ownership of automated suites in production environments (not just manual or exploratory testing).Heavy frontend automation experience in at least one modern framework — e.g., Playwright, Cypress, or Selenium — building and maintaining stable, reliable end-to-end web tests.Strong API testing — designing and automating service-level tests (REST) to validate backend behavior independently of the UI.Genuinely AI-forward in how you work — you default to AI tools to generate tests, expand coverage, triage failures, and remove repetitive work, and you're opinionated about where AI helps vs. where it doesn't.Hands-on: you've actually built something with AI — a Claude Skill, an AI-assisted test generator, an automated triage flow, or an AI-driven process you use in your day-to-day. You must be able to describe a concrete tool or process you created. "I use ChatGPT sometimes" is not enough.Solid QA fundamentals — test planning, regression strategy, clear repro steps, and the judgment to know what's worth automating.Autonomy — you can prioritize and execute within an established QA team without hand-holding. Requirements (Nice-to-Haves) Comfort writing automation in JavaScript/TypeScript. CI/CD integration of automated tests (GitHub Actions or similar).Experience testing multi-product or multi-team web platforms.Familiarity with compliance-sensitive environments (SOC 2, CJIS, or similar regulated contexts). Bonus Points You've built and shared an AI-powered QA tool or workflow that others actually adopted — bonus if it's public or written up.Performance, accessibility, or security testing depth beyond functional QA.Public-safety, govtech, or other regulated-industry background. Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 2 months ago
Job Openings AI Enablement Engineer About the job AI Enablement Engineer Senior AI Agent & Platform Engineer Location: Remote (LATAM preferred) Team: AI Enablement / Platform Engineering Client: Client-Facing (Embedded in Client Teams) Seniority: Senior (7–10 years experience) Summary You'll design, build, and deploy the AI agent infrastructure that transforms how engineering teams ship software. Embedded directly inside client organizations, you'll create the tooling layer that makes agentic development real — from CLI orchestrators and MCP servers to specialist agents that handle code generation, PR review, and automated QA. This isn't research or prototyping. You're building production systems that autonomous agents run on, inside real teams, under real constraints. Requirements (Must-Haves) Excellent English communication skills — you'll interact directly with client engineering leadership, present architectural decisions, and operate autonomously inside their org. If you can't communicate clearly in English, this won't work.7+ years in software engineering with deep, demonstrable experience in backend systems, scripting, and CLI tooling. You've built things that other engineers depend on daily.Hands-on experience building AI agent systems in 2024/2025 — not just using Copilot or ChatGPT. You've built or contributed to agent orchestration, tool-use pipelines, MCP servers, Claude Skills/Commands, AGENTS.md configurations, or equivalent.Strong proficiency with Claude Code, Cursor, Codex, Copilot, or similar AI-native development tools. You use these daily and have opinions about their tradeoffs.Prompt engineering as a core technical discipline — this isn't optional or adjacent to the role, it is the role. You'll spend a good portion of your time writing structured system prompts, designing tool schemas, crafting AGENTS.md files, and building evaluation harnesses for non-deterministic outputs. The quality of every agent you build depends on the precision of your prompts. If you think prompt engineering is "just asking ChatGPT questions," this isn't the right fit.Solid understanding of cloud infrastructure (AWS preferred), containerization (Docker), and CI/CD pipelines. You'll deploy agents into real infrastructure, not notebooks.Experience building observability for software systems — logging, monitoring, alerting. You understand that agent observability (token consumption, latency, output consistency) is a new problem space you'll need to define.Comfortable operating autonomously inside a client's engineering organization — navigating their codebase, earning trust with their senior engineers, and delivering without hand-holding from Nimble. Requirements (Nice-to-Haves) Experience with agent orchestration frameworks: LangGraph, CrewAI, OpenAI Swarm/Symphony, or custom orchestration systems.Familiarity with deployment platforms for agents like Exe.dev, Modal, Harness, or similar — or you've built your own deployment pipelines for agent workloads.Background in Developer Experience (DevEx) or Platform Engineering — you've built internal tooling, developer portals, or workflow automation that made engineering teams measurably faster.Experience building or integrating with SDLC tools programmatically: Jira, Linear, GitHub Actions, QA reporting systems, or similar.Understanding of cost modeling and token economics for LLM-powered systems — you think about when to use expensive models vs. cheap ones, caching strategies, and retrieval vs. context stuffing.Security mindset for autonomous systems — you've thought about agent permissions, sandboxing, guardrails, and human-in-the-loop checkpoints.Spanish language skills (makes internal Nimble coordination significantly easier). Bonus Points Public GitHub/portfolio with agent experiments, MCP servers, CLI tools, or open-source contributions to agentic tooling — not tutorials, actual tools you built and use.You've studied or replicated architectures from: Stripe Minions, Ramp's coding agents on Modal, Coinbase's enterprise agent patterns, or OpenSWE-bench approaches.Experience with evaluation frameworks for AI systems (evals, benchmarks, regression testing for non-deterministic outputs).You've used or contributed to tools like OpenClaw, SWE-agent, or similar agent benchmarking/execution tools.Conference talks, blog posts, or workshops on agentic development, AI-assisted engineering, or DevEx. Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 2 months ago
Job Openings Product Manager About the job Product Manager Senior Product Manager (AI-Forward) Location: Remote (Global) Team: Product Summary You'll work inside the product team at our client, a public-safety SaaS company serving thousands of first-responder agencies, collaborating across the product org and taking real ownership of the features and initiatives you drive. This is a hands-on PM role: you'll turn ambiguous problems into crisp user stories engineers can build from, drive decisions with data rather than opinion, and work directly with client stakeholders and engineering. What sets it apart is how you operate — you're relentlessly AI-forward, using AI to accelerate research, discovery, spec-writing, and analysis, and you've actually built AI-driven workflows of your own. Our client operates under SOC 2 and CJIS constraints, so you'll ship inside compliance guardrails. Requirements (Must-Haves) Excellent English communication skills — you'll work directly with client stakeholders and engineers, facilitate discovery, and write documentation that removes ambiguity rather than adding it.5+ years of product management on SaaS products, taking features and initiatives from discovery through delivery in close collaboration with product, design, and engineering.Genuinely data-driven — you define and instrument success metrics, dig into product analytics yourself, and use evidence (not the loudest opinion) to prioritize and make trade-offs.Exceptional user stories and specs — you write clear, well-scoped stories with acceptance criteria that engineers can build from without a dozen follow-up questions.Genuinely AI-forward in how you work — you default to AI for user research synthesis, competitive analysis, spec drafting, and data exploration, and you're opinionated about where it helps vs. where it doesn't.Hands-on: you've actually built something with AI — a custom GPT or Claude Skill, an AI-assisted research/synthesis workflow, an automated reporting or prioritization process, an agentic prototype, anything you use in your day-to-day. You must be able to describe a concrete tool or process you created. "I use ChatGPT for first drafts" is not enough.Technical fluency — comfortable reading an API contract, reasoning about data models, and holding your own with engineers.Autonomy — you can scope, prioritize, and drive your initiatives forward in an ambiguous, fast-moving environment without hand-holding. Requirements (Nice-to-Haves) Hands-on comfort with product analytics tools (Amplitude, Mixpanel, Pendo, or SQL for self-serve querying).Experience shipping AI/ML-powered features, not just using AI tools internally.Experience with multi-product or platform environments.Familiarity with compliance-sensitive environments (SOC 2, CJIS, or similar regulated contexts). Bonus Points You've built and shared an AI-powered product workflow or tool that others actually adopted — bonus if it's public or written up.Public-safety, govtech, or other regulated-industry background.Prior experience as an engineer, designer, or data analyst before PM. Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 2 months ago
Job Openings Data Engineer About the job Data Engineer Senior Data Platform Engineer Location: Remote (LATAM, with daily overlap of US business hours) Team: Engineering / Data Platform Client: AI-powered property-tax assessment platform for US county governments Summary You'll own the data pipelines that turn millions of messy, fragmented external records into clean, reliable, audit-ready data that an AI-powered platform can trust. You'll work directly with the client and a small senior team to ingest new counties, harden multi-tenant data isolation, and make pipeline jobs autonomous and reproducible at scale. This is a high-accuracy domain where a wrong number has legal and revenue consequences, so correctness and observability matter as much as throughput. Because this is a small senior engineering team, this is not an isolated ETL-only role. The ideal candidate should be comfortable tracing data issues across pipelines, PostgreSQL, backend APIs, frontend workflows, product behavior, and user-facing validation. Requirements (Must-Haves) Excellent English communication skills — you'll interact directly with the client and US-based stakeholders, defend technical decisions, and explain data issues to non-engineers.7+ years building and operating production data pipelines, with real experience processing large-scale datasets (millions of records) — not toy projects or tutorials.Expert Python for data processing, ingestion, and transformation.Deep SQL and PostgreSQL — complex queries, indexing, query optimization, and debugging performance under real production load.Hands-on AWS experience for production data workflows, including Glue Jobs, Lambda, Step Functions, EventBridge, RDS/PostgreSQL, object storage, monitoring, retries, failure handling, and cost-aware execution. Experience with adjacent AWS services is expected as the architecture evolves.Proven ability to design data workflows for quality, correctness, and auditability — including validation, deduplication, anomaly detection, reconciliation against trusted sources, and clear failure visibility before bad data reaches users or downstream systems.Comfort owning data workflows end-to-end — ingestion, transformation, orchestration, scheduling, observability, monitoring, alerting, failure recovery, and continuous reliability improvement with minimal hand-holding.Backend/API development experience, preferably with Node.js/TypeScript, able to contribute to backend services around data workflows, expose pipeline outputs through APIs, debug integration issues, and understand how data changes affect product behavior.Working knowledge of LLM-driven data pipelines (OpenAI, Claude, Gemini, or similar, and on-prem deployed LLMs) and validating/structuring AI-generated output.Experience with multi-tenant data architectures and tenant data isolation.Workflow orchestration experience for autonomous, step-controllable jobs.Experience with observability and operational tooling for data workflows, including structured logs, metrics, alerts, traces, run history, failure visibility, and cost monitoring. Requirements (Nice-to-Haves) Data warehousing experience (Snowflake, BigQuery, Redshift, or Databricks), warehouse architectures, dbt, and analytics-engineering / data modeling.React/frontend experience (Typescript) — strongly preferred because pipeline output directly affects user-facing workflows, QA screens, validation tools, and product behavior.Infrastructure-as-code (Terraform) and Docker for reproducible local and cloud environments. Bonus Points Experience with government, civic, real-estate/proptech, or other regulated high-accuracy data where outputs must be auditable and legally defensible.Built data-quality or QA tooling that let non-engineers validate results at scale.Track record of taking over a fragile, fast-moving pipeline and making it boring, reliable, and observable.Open-source contributions, writing, or speaking on data engineering. Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 2 months ago
Job Openings QA Engineer About the job QA Engineer QA Manual + Automation Engineer Location: Remote (Global) Team: Quality Assurance / Engineering Summary You'll own quality across a complex, enterprise-scale platform — writing and executing test plans, building automation with Playwright, and catching issues before they ever reach production. You'll work closely with engineers, product owners, and data scientists across multiple products, and your work will have a direct impact on payment-critical systems where reliability isn't optional. This role demands someone sharp enough to think like a hacker and disciplined enough to document everything. Requirements (Must-Haves) Excellent English communication skills — you'll interact directly with engineers, product owners, and cross-functional stakeholders across distributed teams, so clear written and verbal communication is non-negotiable. 3+ years of hands-on experience in software quality assurance and testing, including both manual and automated approaches. Payment gateway / payment systems testing experience — you've tested and automated payment flows in production environments. 1+ years of experience with Playwright (or comparable tools like Cypress or Selenium) writing and maintaining real test suites — not just running scripts someone else wrote. Proficiency in JavaScript or TypeScript for writing and maintaining automation scripts. Solid understanding of web application testing methodologies, browser behavior, and how to design meaningful test coverage across complex systems. Proven ability to write clear, comprehensive test plans and test cases that others can follow and build on. Strong analytical skills — you don't just log bugs, you isolate them, document them precisely, and know when something is a fluke vs. a systemic issue. Requirements (Nice-to-Haves) Familiarity with WordPress-based environments or large-scale CMS platforms — especially testing across multi-site or multi-tenant configurations. Experience in digital media, publishing, or content-heavy environments where front-end complexity and third-party integrations are common. Track record of running regression testing at scale — across multiple websites, products, or enterprise systems simultaneously. Experience working within agile/scrum workflows, collaborating in sprint cycles with product and engineering. Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteMid Level
posted 3 months ago
Job Openings Devops Engineer About the job Devops Engineer Senior Cloud / DevOps Engineer — Infrastructure Location: Remote (Global) Team: Infrastructure / Platform Engineering Client: TBD Summary You'll own and evolve our client's production cloud infrastructure on AWS — keeping it secure, observable, and scalable as the company and its client portfolio grows. This isn't a build-from-scratch role; it's about being the person who knows the system deeply, improves it deliberately, and keeps things from catching fire. You'll work across a mature but actively evolving stack, with real ownership and no bureaucratic layers between you and the infrastructure. Requirements (Must-Haves) Excellent English communication skills — you'll interact directly with internal engineering teams and, at times, with external client stakeholders to align on infrastructure needs. 5+ years of hands-on cloud infrastructure experience in production AWS environments. Deep AWS expertise — EC2, VPC, IAM, networking, and the broader AWS ecosystem. You know the console, the CLI, and when to use each. Kubernetes in production — you've managed real workloads on EKS or ECS, handled node scaling, and debugged cluster-level issues. Helm and Karpenter experience is expected. Terraform as your default IaC tool — you write modules, manage state, and don't let drift happen. Terragrunt experience is a strong plus. GitOps mindset — you've used ArgoCD or a similar tool and understand why declarative, version-controlled deployments matter. Autonomous and senior-minded — you can assess a system, identify what needs fixing, and prioritize without someone handing you a roadmap. Requirements (Nice-to-Haves) Terragrunt — managing multi-environment or multi-account Terraform at scale. Observability stack — hands-on with Datadog, Prometheus/AlertManager, or CloudWatch beyond just dashboards. You've built alerts that actually fire when they should. Security tooling — familiarity with Security Hub, GuardDuty, CloudTrail, or Inspector. Bonus if you've worked toward SOC 2 or AWS Foundational Security Best Practices. CI/CD pipelines — Jenkins or GitHub Actions for infrastructure or application delivery. ECR for container registry management. Serverless — Lambda and EventBridge for event-driven patterns or automation tasks. Databases — experience operating Aurora MySQL (RDS) and ElastiCache Memcached in production. Bonus Points Experience with Akamai properties or CDN configuration at the edge (AMD / Adaptive Media Delivery is a meaningful plus). IAM / IRSA design at scale — you've thought carefully about least-privilege in a Kubernetes-on-AWS context. AWS Secrets Manager and SSM Parameter Store experience in a real secrets management workflow. Experience supporting multiple client environments or a multi-tenant infrastructure model. AWS certifications (Solutions Architect, DevOps Engineer Professional) — not required, but signals depth. Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 3 months ago
Job Openings Senior React Native Engineer About the job Senior React Native Engineer Senior React Native Engineer Location: Remote (Global) Team: Mobile Engineering Summary You'll own mobile development across iOS and Android using React Native, with real depth in ad stack integration and video SDK implementation. This isn't a "pure JS" React Native role — you'll drop into native Swift or Java/Kotlin when the situation demands it. You'll work directly with clients in a media/publishing context where ads and video aren't afterthoughts — they're core product. Requirements (Must-Haves) Excellent English communication skills — you'll interact directly with clients and need to clearly articulate technical tradeoffs, timelines, and decisions without hand-holding 3+ years of mobile app development (iOS and/or Android), with React Native as your primary framework for those builds — not a side tool Proven ability to write native code when React Native hits its limits — Swift for iOS, Java or Kotlin for Android Hands-on experience integrating an ad stack in a mobile app — GAM, DoubleClick, AppNexus, MoPub, or similar; you've dealt with ad rendering, refresh logic, targeting, or monetization pipelines in a real production app Hands-on experience integrating a video SDK in a mobile app — JW Player, Video.js, native AVPlayer/ExoPlayer, Brightcove, or similar; you've shipped video playback features, not just embedded a YouTube iframe Strong understanding of mobile performance, memory management, and debugging at the native layer Requirements (Nice-to-Haves) Experience working in media, news, or publishing — you've built apps where content delivery, ad revenue, and video engagement are KPIs that actually matter Familiarity with DRM, SSAI/CSAI, or advanced video delivery (HLS, DASH) Experience with push notifications, background sync, or deep linking in a content-heavy app Comfort with CI/CD pipelines for mobile (Fastlane, Bitrise, GitHub Actions Bonus Points You've led a mobile platform rebuild or major ad/video stack migration Open source contributions to React Native ecosystem, video, or ad tooling Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 3 months ago
Job Openings Senior Full Stack Engineer About the job Senior Full Stack Engineer Senior Full Stack Engineer Location: Remote (Global) Team: Core Engineering Summary You'll be one of two engineers building the foundational systems that power a next-generation lead certification platform — a browser-embedded session capture script, a high-throughput certificate ingestion backend, a real-time lead scoring engine, and a SaaS dashboard for customers. This is a core builder role: you'll own hard problems across the stack, from sub-4KB JS embeds running on third-party sites to immutable certificate storage at scale. Expect depth, trade-off discussions, and zero hand-holding. Requirements (Must-Haves) Excellent English communication skills — you'll interact directly with the client team and need to articulate technical decisions clearly and confidently 5+ years of full-stack engineering experience in production environments, with demonstrable ownership of backend systems at scale Strong backend engineering fundamentals: you've designed and operated ingestion pipelines with queuing, deduplication, idempotency, and failure handling — and you can talk through the trade-offs without prompting Deep understanding of storage strategies for immutable, append-only records — you know when Postgres is the wrong answer and why, and you can reason about audit trails, certificate schema design, and query patterns across relational, document, and time-series options Proven experience building and optimizing frontend JS for performance-critical contexts: tree shaking, minification, async loading, avoiding render-blocking — you treat bundle size as an engineering constraint, not an afterthought Solid understanding of how browsers handle third-party scripts: CSP policies, CORS, ad blockers, script injection vectors — you know what can go wrong and how to design around it Experience with real-time data pipelines: you can reason about where latency comes from, where parallelism helps, and how to keep a scoring engine responsive under load Comfortable designing for scale from the start — batching, compression, and streaming from the browser aren't things you look up; they're things you build Requirements (Nice-to-Haves) Experience with session recording or behavioral analytics products (Heap, FullStory, Hotjar, or equivalent) Familiarity with certificate issuance systems, signing workflows, or cryptographic audit trails Experience building multi-tenant SaaS dashboards with per-customer config, access controls, and analytics Exposure to lead scoring models or behavioral signal processing in a B2B context Experience with TypeScript in both frontend and backend contexts Familiarity with Kafka, SQS, or similar message queuing systems for high-throughput ingestion Bonus Points Security instincts around high-value attack surfaces — you can articulate the risks of script injection, certificate forgery, replay manipulation, and artifact signing without being prompted Awareness of TrustedForm's architecture (open certificate URLs) and the ability to explain why access-controlled certificate delivery matters and how to implement it correctly Contributions to open source tooling in performance, observability, or security domains Prior experience at a company that built embedded JavaScript products (tag managers, tracking pixels, live chat widgets) Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 3 months ago
Job Openings Senior FullStack Engineer About the job Senior FullStack Engineer Senior Full Stack Engineer Location: Remote (Global) Team: Product Engineering Client: TBD Summary You'll lead the rebuild of our client's core platform from a PHP-based codebase into a modern full-stack architecture using React (or Next.js) and Node.js. This is a greenfield opportunity with real architectural ownership — you'll design the new system from scratch, work directly with the client, and bridge legacy PHP logic into a new, scalable stack. If you thrive on technical decisions and messy-but-interesting migrations, this one's for you. Requirements (Must-Haves) Excellent English communication skills — you'll interact directly with the client team, surface technical decisions, and push back when needed. 5+ years of full-stack engineering experience in production environments. Strong React expertise — you've shipped real products with React, understand component architecture, state management, and performance trade-offs. Node.js backend experience — you can design and build REST or GraphQL APIs, handle auth, and structure a scalable service layer. PHP proficiency — you'll need to read, understand, and migrate logic from an existing PHP codebase. Autonomous and senior-minded — you drive features end-to-end without needing a tech lead to define every ticket. Requirements (Nice-to-Haves) Next.js experience — familiarity with SSR, routing, and the Next.js ecosystem is a meaningful plus given the likely direction of the stack. AdOps domain knowledge — understanding of ad serving, campaign management, reporting pipelines, or programmatic advertising. Database design and query optimization — you know when a query is a problem before it hits production, and you can design performant schemas. Experience with legacy-to-modern migrations — you've been through a rewrite or major migration before. Bonus Points Hands-on experience with AdTech platforms (GAM, DFP, programmatic, or similar). Familiarity with TypeScript across the full stack. Experience setting up CI/CD pipelines or contributing to DevOps practices on a new codebase. Prior work in agency or consulting environments where you've managed client relationships alongside technical delivery. Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 3 months ago
Job Openings Senior DevOps Engineer About the job Senior DevOps Engineer Senior DevOps Engineer Location: Remote (Global) Team: Infrastructure & DevOps Summary You'll architect and secure AWS environments at scale and Infrastructure as Code driven solution with SOC2/NIST compliant requirements. You'll work across multiple client projects, set technical standards, and collaborate with cross-functional teams to deliver production-ready infrastructure. This role requires deep Terraform expertise and the ability to navigate complex, large-scale AWS architectures with security built in from day one. Requirements (Must-Haves) Excellent English communication skills — you'll collaborate with cross-functional teams daily and need to explain complex infrastructure decisions clearly5+ years of proven experience working in AWS environments at scale in mid-to-large companiesTerraform mastery: best practices, security patterns, module development, organizing large projects, pipeline optimization, and DRY principlesDemonstrated ability to work effectively in cross-functional teams — DevOps, Security, Development, ProductProven track record collaborating across large, complex projects with multiple stakeholdersSecure networking expertise: DNS management, VPC peering, Transit Gateways, ALB configurationNetwork security implementation: encryption in transit/at rest, zero-trust architecture principles, restricted access patternsSecrets management and KMS key management strategiesAWS compliance tools: Security Hub, Config, CloudTrail, GuardDuty configuration and managementServerless optimization: cold start reduction, edge authorization lambdas, Cognito integration, Step Functions orchestration, X-Ray monitoringInfrastructure security scanning with Checkov, OPA, or similar toolsECS deployment and container management Requirements (Nice-to-Haves) Efficient alerting system design that minimizes noise and maximizes signalDatadog expertise: AWS integration, synthetic tests, logging, metrics, dashboardsDisaster recovery design: cross-account and cross-region failover strategies, backup architecturesSOC2 compliance implementation experienceStrong GitHub experience for CI/CD and automation workflows Bonus Points AWS certifications: Solutions Architect, SysOps Administrator, Security Specialty, or DevOps Engineer ProfessionalBackstage or similar developer platform experiencePlatform engineering mindset — building self-serve infrastructure for development teamsBitBucket experienceExperience training and mentoring other DevOps engineersOpen source contributions or technical writing/speaking Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailRemoteSenior
posted 3 months ago
Job Openings QA Engineer About the job QA Engineer QA Engineer — Studio Team (Web & Emerging Platforms) Location: LATAM Team: Studio Summary You'll be a key QA contributor on a fast-moving Studio team building high-quality web and emerging platform experiences. Working closely with engineers and designers, you'll execute testing across a constantly evolving portfolio — bringing rigor and craft to projects that range from polished consumer apps to experimental interfaces. Requirements (Must-Haves) Excellent English communication skills — you'll collaborate daily with engineers, designers, and product leads across multiple projects 4+ years of QA engineering experience with a strong focus on web applications (cross-browser, responsive, and performance-sensitive) Solid hands-on experience with web test automation (e.g. Playwright, Cypress, Selenium, or equivalent) Good understanding of modern web architectures — SPAs, SSR, API-driven UIs — and how they affect test coverage Experience with visual regression, accessibility, and/or performance testing on the web Comfortable working in fast-paced, project-based environments where context shifts frequently Strong collaboration skills — you work well embedded in cross-functional teams Requirements (Nice-to-Haves) Familiarity with CI/CD pipelines and how test suites plug into deployment workflows (GitHub Actions, CircleCI, etc.) Exposure to AR, immersive, or WebXR experiences and testing non-standard interaction models Background in studio, agency, or innovation-lab environments Experience with API testing alongside UI testing Bonus Points Experience testing spatial computing or WebXR applications Familiarity with accessibility auditing (WCAG, axe, screen reader testing) Contributions to open-source test tooling or public writing about QA craft Apply for Position Share Facebook Line LinkedIn X (Formerly Twitter) Whatsapp EmailMid Level
posted 3 months ago