Remote Jobs Across Engineering, Product, and Data

Browse remote openings from startups and established companies. Filter by title, location, compensation, and skills to find the best match quickly.

Popular Job Functions

General Sales Software Engineer Manager Customer Support Analyst Director Customer Success Consultant Project Manager

Strict location onlyShow closed jobs

Post Date

Minimum Salary

Experience

391 Jobs

278 Companies

Full Stack Engineer

Nooxit GmbH

Nooxit is building the next generation of AI-based finance process automation tools for medium and large enterprises. We are putting accounting on autopilot. Our software leverages modern Deep Learning and NLP technology to liberate finance teams from repetitive document capturing, manual compliance reporting, and tedious accounting tasks. This helps our customer's finance team to save time and money, prevent fraud, and be globally compliant with local financial regulations. Our remote-first company was founded in 2019 and is investor-backed. Our diverse team has previous backgrounds in Consulting, Venture Building, Autonomous Driving, Space Technology, and Cognitive Science. Our customers are international medium and large companies from different sectors (for example ZF Friedrichshafen). We are headquartered in Berlin with additional office space in the Cologne area.

Backend Engineer7 hours ago

Full Time Remote Mid LevelTeam 11-50

Role Description Nooxit is looking for a Full Stack Engineer who wants to build things that matter — someone who's equally comfortable designing a clean API as they are shipping a polished frontend feature, and who genuinely cares about whether the AI behind it is actually getting things right. Our product makes critical financial decisions for enterprise customers, so accuracy isn't a nice-to-have — it's everything. We want someone who's obsessed with observability: - If the AI extracts the wrong line item, misclassifies a transaction, or drifts in confidence over time, you want to know about it before anyone else does. - You'll build the systems that measure, surface, and improve model performance — from evaluation pipelines and accuracy dashboards to real-time alerting on prediction quality. - You'll work across the stack to develop, improve, and scale cloud-native applications while ensuring we always have a clear, data-driven picture of how our AI is performing in the wild. - You'll have real ownership, creative freedom, and the opportunity to shape both the product and the engineering culture as we grow. Qualifications - Strong proficiency in Python and TypeScript - Solid experience with Docker, Git, and cloud-based development workflows - Familiarity with SQL databases (PostgreSQL preferred) - Experience with or willingness to work with: Pytest, CI/CD pipelines, Kubernetes, Terraform, Helm - Comfort working across backend and frontend — you don't need to be an expert in both, but you're curious and willing to learn - Experience with testing practices and a quality-first mindset - A genuine passion for AI accuracy and observability - Comfort with metrics and data analysis - Proactive, communicative, and comfortable working autonomously in a remote team Requirements - Previous experience in a startup or fast-moving environment (BONUS) - Hands-on experience building evaluation pipelines, accuracy benchmarks, or monitoring for ML/AI systems in production (BONUS) - Experience with observability tools and practices (e.g., Prometheus, Grafana, Datadog, OpenTelemetry, structured logging, distributed tracing) (BONUS) - Familiarity with ML metrics concepts — confusion matrices, F1 scores, calibration curves, data drift detection, A/B testing (BONUS) - Experience working at the intersection of engineering and data science (BONUS) - Interest in AI/ML applications or fintech (BONUS) - Experience mentoring other engineers or helping shape engineering processes (BONUS) Benefits - Fully remote — work from anywhere in the world - Flexible working hours — we care about output, not clocked hours - Competitive salary with room to grow as the company scales - An open, diverse, and international team that values collaboration and curiosity - The chance to work with renowned enterprise customers and help build what could become the next finance automation category leader - Real ownership and influence over the product and engineering direction

AI Observability/Monitoring Python TypeScript Docker Git SQL PostgreSQL pytest CI/CD Kubernetes Terraform Helm AI/ML Prometheus Grafana Datadog OpenTelemetry A/B Testing

View details: Full Stack Engineer

Worldwide

Apply

Platform Tech Lead

Poland and Eastern Europe

Xebia is a global tech company with a journey in CEE that started with two Polish companies – PGS Software and GetInData. We are a team of 1,000+ experts delivering top-notch work across cloud, data, and software. We work on impactful projects across various sectors including fintech, e-commerce, aviation, logistics, media, and fashion, helping clients build scalable platforms and cutting-edge applications. Our clients include notable names like McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, and InPost.

Platform Engineer8 hours ago

Full Time Remote LeadTeam 1,001-5,000

Role Description You will be: - Shaping the technical direction and architecture of a developer-focused platform, balancing scalability, developer experience, and business goals. - Collaborating closely with engineering teams to define platform capabilities, prioritize initiatives, and make architecture-informed product decisions. - Driving the evolution of a cloud-native platform built on Kubernetes, AWS, and modern infrastructure tooling. - Designing intuitive developer workflows that simplify application deployment, operations, and platform adoption. - Contributing to platform architecture, including areas such as multi-tenancy, deployment pipelines, identity and access management, and platform security. - Supporting the development of internal platform capabilities, including build and deployment systems, observability, and developer tooling. - Working in a fast-paced environment, rapidly validating ideas, delivering new capabilities, and iterating based on feedback. - Contributing hands-on to the codebase when needed, helping the team solve complex technical challenges. Qualifications - Proven experience as a Technical Product Owner, Tech Lead, Platform Engineer, or in a similar role focused on developer platforms. - Experience building or evolving developer-focused platforms such as Railway, Vercel, Netlify, or similar cloud infrastructure products. - Strong understanding of cloud-native technologies, including AWS, Kubernetes, containers, and deployment pipelines. - Solid knowledge of platform architecture concepts, including multi-tenancy, control plane vs. data plane, and developer workflows. - Experience building products from the ground up (0→1) or within early-stage, rapidly scaling environments. - Strong product mindset with the ability to translate complex infrastructure into intuitive developer experiences. - Ability to collaborate effectively with engineering teams and make architecture-informed technical decisions. - Hands-on software engineering experience, ideally with TypeScript, NestJS, or similar backend technologies. - Understanding of API design, developer experience (DX) principles, identity and access management (IAM), security best practices, and cost optimization (FinOps). - Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery. Requirements - Work from the European Union region and a work permit are required. Benefits - Hands-on experience with infrastructure tooling such as Terraform, Helm, Docker, and Kubernetes in production environments. - Familiarity with observability platforms such as Prometheus, Grafana, OpenTelemetry, or similar solutions. - Experience building or maintaining CI/CD pipelines, internal developer platforms, or Git-based development workflows. - Knowledge of billing, metering, or usage-based SaaS pricing models. - Familiarity with edge computing, CDNs, or high-performance networking architectures. - Previous experience building developer tools, APIs, or platform products. - Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work. - Interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

Kubernetes AWS Observability/Monitoring Vercel Netlify Docker/Containers TypeScript NestJS Amazon IAM AI Terraform Helm Docker Prometheus Grafana OpenTelemetry CI/CD Git SDLC

View details: Platform Tech Lead

Romania

Apply

Kong / API Gateway Surge Engineer

Acuity Inc.

Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light, and more things to come. Through our two business segments, Acuity Brands Lighting and Lighting Controls (ABL) and the Intelligent Spaces Group (ISG), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives. We are positioned at the intersection of sustainability and technology. Our businesses develop technology that helps save our customers energy and reduce their carbon emissions. We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and location-aware applications.

Backend Engineer1 day ago

Other Remote Mid LevelTeam 10,001

Role Description Acuity, Inc. seeks a Kong / API Gateway Surge Engineer to support authorized, time-bounded implementation, migration, automation, validation, integration, troubleshooting, and stabilization activities for a large federal Enterprise API Gateway environment. This role provides product-specific surge support for Kong and comparable enterprise API gateway capabilities when additional capacity is needed to support approved target-platform objectives. The Kong / API Gateway Surge Engineer helps accelerate approved gateway implementation, migration waves, developer portal configuration, CI/CD/GitOps touchpoints, observability integration, defect resolution, and knowledge transfer. This role works within approved architecture, security, infrastructure, CI/CD, observability, and release processes to deliver documented, validated, and accepted surge outcomes. Responsibilities - Implement, configure, integrate, validate, troubleshoot, and document Kong or comparable enterprise API gateway capabilities for approved surge activities. - Configure gateway services, routes, consumers, plugins, policies, certificates, authentication, authorization, rate limiting, logging, telemetry, and environment promotion patterns. - Support developer portal configuration, API catalog capabilities, API documentation workflows, access request patterns, and self-service onboarding enablement. - Support accelerated API migration wave preparation, gateway configuration, validation evidence, defect resolution, rollback readiness, and dual-run troubleshooting. - Develop and validate EAG-side CI/CD, GitOps, configuration-as-code, and automation touchpoints within approved pipeline and release processes. - Integrate gateway capabilities with approved identity, network, monitoring, logging, incident-management, change-management, and observability processes. - Support AppDynamics, ELK, OpenTelemetry planning, dashboard inputs, log flow validation, telemetry checks, and operational visibility for surge activities. - Troubleshoot surge-related issues involving gateway configuration, plugins, policies, routing, certificates, connectivity, identity integration, telemetry, and migration defects. - Provide technical office hours, knowledge transfer, configuration documentation, surge status inputs, validation evidence, and completion artifacts. Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent relevant experience. - 5+ years of experience supporting enterprise API gateway implementation, configuration, automation, migration, integration, or production-readiness activities. - Hands-on experience with Kong, Kong Gateway Enterprise, Kong Konnect, or comparable enterprise API gateway products. - Experience configuring gateway services, routes, consumers, plugins, policies, certificates, authentication, authorization, rate limiting, logging, telemetry, and environment promotion patterns. - Experience supporting developer portal configuration, API catalog capabilities, API documentation, access request workflows, or self-service onboarding enablement. - Experience supporting API migration waves, dual-run operations, validation evidence, defect resolution, rollback readiness, and cutover support. - Experience developing or integrating CI/CD, GitOps, configuration-as-code, reusable automation, or gateway deployment-support artifacts. - Experience with observability integration, including AppDynamics, ELK, OpenTelemetry, dashboards, log flows, telemetry validation, or comparable monitoring tools. - Experience troubleshooting gateway implementation, migration, plugin, policy, routing, certificate, identity, connectivity, or telemetry issues. - Strong written communication skills for surge documentation, configuration evidence, runbooks, status inputs, validation materials, and knowledge transfer. Requirements - Must be a U.S. Citizen with the ability to obtain and maintain U.S. federal suitability. Benefits - Personalized development plans, mentorship, and up to $3,000 annually for training and certifications. - Up to $3,000 for degree-seeking programs. - Competitive compensation and comprehensive benefits. - Strong focus on work-life balance. - Recognition as one of the best places to work. - Commitment to diversity and inclusion.

CI/CD Observability/Monitoring AppDynamics OpenTelemetry

View details: Kong / API Gateway Surge Engineer

United States

Apply

Senior Software Engineer, Observability

Together AI

The future of AI is open-source. Let's build together.

Software Engineer1 day ago

Full Time Remote SeniorTeam 11-50H1B No Sponsor

Company Site LinkedIn

Role Description Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues. - Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows. - Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services. - Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm. - Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis. - Define observability best practices. Qualifications - Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure). - Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm). - Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying. - Deep understanding of containerization (Docker) and orchestration (Kubernetes). - Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows. - Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data. Requirements - Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines. - Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing. - Contributions to open-source observability projects. - Familiarity with security monitoring and compliance frameworks. Benefits - Competitive compensation. - Startup equity. - Health insurance. - Flexibility in terms of remote work. - The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

AI LLM Observability/Monitoring Prometheus Grafana OpenTelemetry Python Terraform Ansible Helm AWS GCP Azure Distributed Systems Docker/Containers Docker Kubernetes Microservices CI/CD PostgreSQL MongoDB Redis AI/ML

View details: Senior Software Engineer, Observability

United States

$200K - $280K / year

Apply

Junior JAVA Developer

Capgemini

Get the Future You Want

Software Engineer1 day ago

Full Time Remote JuniorTeam 10,001+Since 1967H1B Sponsor

Company Site LinkedIn

Role Description Seu futuro em tecnologia começa aqui. Na Capgemini, liberamos a energia humana por meio da tecnologia para gerar impacto real nos negócios, nas pessoas e na sociedade. O que você precisa saber: Qualifications - Mínimo de 1 ano de experiência profissional com desenvolvimento Java - Proatividade e desenvoltura para atuar como responsável pelas atividades, desde o refinamento até a implantação - Boa comunicação e experiência com metodologias e ritos ágeis - Experiência com Java 17 e arquitetura de microsserviços - Conhecimento em Spring Boot, Spring Cloud, Spring Data e Spring Security - Experiência com testes unitários utilizando JUnit e Mockito - Conhecimento em Swagger/OpenAPI - Experiência com Maven, Logback e SLF4J - Experiência com arquitetura MVC - Conhecimento em arquitetura hexagonal - Experiência com bancos de dados relacionais e NoSQL - Conhecimento em Oracle, SQL Server, DB2 e MongoDB - Experiência no consumo de APIs REST - Utilização de Postman, Insomnia ou Bruno - Experiência com Git (GitHub ou Bitbucket) - Conhecimento em Gitflow - Utilização de SonarQube/SonarLint - Vivência com IDEs como IntelliJ, Eclipse ou VS Code Requirements - Conhecimento em Kubernetes, MapStruct, Lombok e PowerMock - Experiência com mensageria (Kafka, RabbitMQ e Azure Service Bus) - Conhecimento em CosmosDB e HBase - Vivência com Jira, Confluence, Dynatrace, ELK/Kibana, OpenTelemetry e ArgoCD - Conhecimento em Clean Code, SOLID, TDD, BDD e práticas DevOps - Experiência com ferramentas de IA Generativa, como GitHub Copilot - Certificação Microsoft Azure Benefits - Plano de carreira estruturado e trilhas personalizadas de aprendizado - Universidade Corporativa, com acesso a Harvard, Coursera, Udemy e Pluralsight - Certificações oficiais com parceiros como Microsoft, AWS, SAP e Salesforce - Plataforma EF Education First (Inglês, Espanhol, Francês e Alemão) - Assistência médica e odontológica - TotalPass - Capgemini Equilibrium (acompanhamento nutricional e psicoterápico) - Previdência privada e seguro de vida - Programa Family Care: licenças maternidade e paternidade estendidas, apoio à fertilidade e orientação personalizada em saúde e bem-estar - Vale-refeição e vale-alimentação - Auxílio home office - Opção de compra de ações da empresa com desconto - Desconto em farmácias - Clube de benefícios e muito mais Company Description Diversidade, Equidade e Inclusão: Seja Você na Capgemini. Valorizamos a diversidade em todas as suas formas e promovemos um ambiente inclusivo, reconhecido globalmente por seu compromisso com ética, equidade e pertencimento. Imagine your future and make it real with us.

View details: Junior JAVA Developer

Brazil

Apply

AWS Cloud Security Architect

General Dynamics Information Technology

Art of the possible.

Cloud Engineer1 day ago

Full Time Remote Mid LevelTeam 10,001+Since 1954H1B Sponsor

Company Site LinkedIn

Role Description The CMM AWS Cloud Security Architect will work as part of an agile development team to build and support the modernization of enterprise-class software applications. The successful candidate shall be capable of providing technical cloud security subject matter expertise to meet current and future security design and architecture requirements for IaaS, PaaS, and SaaS implementations. - Experience with designing and implementing security measures to protect data as it moves from on-premises data center servers to cloud storage systems. - Experience with network security and security compliance. - Provides expert advisory services to ensure secure design and deployment of cloud-based systems, incorporating secure-by-design principles such as access control, encryption, and identity management. - Conducts thorough threat and vulnerability assessments, monitors risks, and ensures compliance with federal cybersecurity standards and Judiciary frameworks. Key Responsibilities - Designing secure cloud architectures - Performing risk assessments using enterprise tools - Coordinating with ITSO and CISA to validate system security through independent evaluations - Creates essential security documentation, including System Security Plans, Business Continuity Analyses, and Disaster Recovery Plans - Delivers a quarterly Cloud Security Roadmap - Provides operational support to cover cloud firewalls, ACLs, SSL, API endpoints, authentication procedures, private image management, and secure network segmentation - Supports incident response planning - Supports automation for legacy systems - Ensures proper documentation of cybersecurity control artifacts - Ensures continuous monitoring and secure data handling - Engages in proactive risk mitigation - Strengthens the security posture across production and non-production cloud environments within the CMSO ecosystem Qualifications - Technical Training, Certification(s) or Degree required; BA/BS strongly preferred. - 4 years of general experience in information systems may be substituted in lieu of preferred degree. - 8+ years of specialized experience required. Requirements - Container Security — Expert Level: - Deep expertise in Amazon EKS security architecture: pod identity, multi-tier namespace isolation, and node group separation across security classification tiers - Expert Kubernetes RBAC design and auditing: least-privilege ClusterRoles, service account hardening - Strong expertise in Kubernetes NetworkPolicy - Expert Pod Security Admission controls: restricted/baseline profile enforcement, Gatekeeper policy-as-code - Full lifecycle container image security: ECR private registry, image tag immutability, Inspector Enhanced Scanning, cosign image signing, SBOM generation - Expert GitLab CI/CD pipeline security: OIDC-based AWS authentication, build node egress restriction, pipeline-integrated scanning (Wiz, Trivy, Checkov, TestifySec), and immutable artifact promotion - Experience implementing container performance monitoring using New Relic or equivalent (Prometheus, OpenTelemetry, Fluent Bit) - Demonstrated experience designing FedRAMP High multi-tier web applications on EKS with tiered security classification boundaries - Network Security - Expert Level: - Expert AWS VPC architecture: multi-tier subnet design, Transit Gateway, EKS hardening - Deep experience with security groups, Network ACLs, and AWS Network Firewall: domain allowlist policies, and build node egress controls - Expert VPC endpoint design: gateway and interface endpoints - Expert AWS WAF - Deep expertise in API Gateway security: designing private endpoints, JWT authorizers, resource policies, and mTLS - Experience implementing AWS Direct Connect and Site-to-Site VPN with BGP route security and hybrid connectivity hardening - Expert design of VPC Flow Log analysis pipelines using CloudWatch Logs Insights, Athena, and Splunk (SPL queries, correlation searches, network security dashboards) - Security Monitoring - Expert Level: - Expert design of CloudWatch multi-account architectures: cross-account observability, centralized log aggregation, composite alarms, and metric filter-based real-time detection - Experience integrating CloudTrail, GuardDuty, Security Hub, and Config across AWS Organizations with EventBridge-driven automated response - Expert Splunk integration: CloudTrail, GuardDuty, VPC Flow Logs, and EKS audit log ingestion with high-fidelity correlation searches - Vulnerability Management - Expert Level: - Expert design of multi-layer VM programs for containerized AWS workloads: Amazon Inspector (EC2, ECR Enhanced Scanning, Lambda, EKS workload association), pipeline-integrated image scanning, IaC scanning, and Kubernetes configuration assessment - Deep experience with pipeline-integrated scanning tools: Tools such as Trivy and Grype for CVE detection, Syft for SBOM generation (CycloneDX), kube-bench for CIS Kubernetes Benchmark assessment - Proficiency with AWS native VM tooling: Inspector, Security Hub finding aggregation, Systems Manager Patch Manager for EC2/EKS node OS patching, and Config conformance packs (NIST 800-53, FedRAMP High) for configuration vulnerability tracking - Experience with enterprise VM platforms in federal environments: commercial CNAPPs for agentless cloud-native assessment and attack path analysis - Expert runtime threat detection: GuardDuty EKS Runtime Monitoring, and correlation of runtime behavioral signals with static CVE findings for prioritized response - Ability to design and measure VM program effectiveness metrics: MTTD and MTTR per severity tier, detection coverage gap analysis via threat-to-detection mapping - ATO and Compliance: - Expert IAM least privilege: SCPs, permission boundaries, condition keys, and IAM Access Analyzer - Demonstrated FedRAMP High ATO leadership: SSP authoring, NIST 800-53 rev5 control implementation statements, POA&M management, 3PAO assessment support, and continuous monitoring program design Preferred Certifications - AWS Certified Security - Specialty - Certified Kubernetes Security Specialist - AWS Certified Solutions Architect - Professional Benefits - Comprehensive benefits and wellness packages - 401K with company match - Competitive pay and paid time off - Full flex work weeks where possible - Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement, and jury duty leave - 15 days of paid leave per calendar year for new employees - Paid Family Leave program providing up to 160 hours of paid leave in a rolling 12 month period for eligible employees - Short and long-term disability benefits - Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance

View details: AWS Cloud Security Architect

United States

$147.3K - $199.3K / year

Apply

Senior Software Engineer, Backend

EdVisorly

The AI Transfer Platform

Backend Engineer1 day ago

Full Time Remote SeniorTeam 11-50Since 2019H1B No Sponsor

Company Site LinkedIn

Role Description We’re looking for a Sr Software Engineer, Backend to join our growing product and engineering team. This is a hands-on role where you’ll design, build, and scale the systems that power student–university interactions. You’ll own critical APIs and services that enable real-time data, automation, and integrations — and you’ll have the chance to shape product direction at a foundational stage. This role is perfect for someone who thrives in fast-moving, high-growth environments, loves architecting elegant solutions to complex problems, and wants to see their work make an impact on the future of higher education. What You’ll Own - Core Backend Development - Architect, build, and maintain scalable backend services, APIs, and system integrations. - Drive improvements in reliability, performance, and security across distributed systems. - Automate onboarding and workflows by building ingestion jobs and database-driven configurations. - Collaboration & Cross-Functional Impact - Partner with product, frontend, and data teams to design and deliver impactful features. - Work closely with Solutions Engineering and Customer Success to ensure seamless school deployments. - Contribute to system design discussions, technical decision-making, and mentorship within the team. - Continuous Improvement - Champion best practices in testing, code quality, and CI/CD automation. - Proactively identify bottlenecks and scale systems to handle high-volume data and transactions. - Stay ahead of emerging frameworks, cloud technologies, and AI-driven tools to keep us innovative. Qualifications - You bring 5+ years of backend engineering experience — ideally in SaaS, EdTech, or high-growth startup environments. - You’re strong in Node.js (our core), but fluent enough to learn and adapt — whether that’s TypeScript/Express, Python/FastAPI, or other modern stacks. - You’ve built and scaled RESTful APIs (GraphQL a bonus) and know how to keep them clean, secure, and fast. - You’ve worked across databases (Postgres, Redis, or NoSQL) and can design for scale, reliability, and performance. - You’re comfortable in cloud-native environments (GCP preferred; AWS/Azure fine too) and can navigate Kubernetes, Docker, and Terraform without blinking. - You care about automation and pipelines — cutting manual steps by building config-driven systems, ETL, and ingestion workflows. - You build with a security-first mindset — you know your way around OAuth2/OIDC, role- and policy-based auth, and compliance frameworks (SOC2, FERPA). - You’ve touched CI/CD pipelines, automated testing, and observability tools (Datadog, OpenTelemetry, Sentry) — and you know they’re not “nice to have,” they’re table stakes. - You thrive on architecting distributed systems and microservices that balance complexity with simplicity. - Bonus points if you’ve played with AI/ML integration (OpenAI, Hugging Face, vector search like FAISS/pgvector) or have a knack for developer productivity hacks using AI tools. - You’re a self-starter who thrives in fast-moving, ambiguous environments, and you love the challenge of building 0→1. - You’re a collaborator at heart — sharing knowledge, giving feedback, and celebrating wins with the team. Benefits - We’re solving a high-stakes, high-impact problem — helping institutions remove friction and students unlock brighter futures. - You’ll have real ownership in a high-velocity, early-stage environment with direct influence across the company. - You’ll help shape the future of a category-defining company, working alongside smart, ambitious, mission-first operators. - You’ll do the most meaningful work of your career, leaving a lasting legacy in how higher education serves students.

View details: Senior Software Engineer, Backend

United States

Apply

Senior Backend Engineer

ProMedia Group

Multimedia publisher for Automotive, Transport and Mobility communities.

Backend Engineer2 days ago

Full Time Remote SeniorTeam 201-500H1B No Sponsor

Company Site LinkedIn

Role Description You'll be a core member of a small, high-ownership engineering team building and evolving the distributed microservices backend that powers Routescanner. You'll work across a complex domain – route optimization, schedule ingestion, geo-routing, and carrier data – at real scale, on AWS. This is not a role for someone who waits for specs to land in their inbox. You'll take full ownership of services from design through production, make architectural decisions, and proactively identify and fix problems before they become incidents. What You'll Work On - Design, build, and maintain JVM-based microservices (Java / Kotlin) running on AWS ECS, App Runner, and Lambda - Work with a rich data layer: PostgreSQL, DynamoDB, RedShift, Redis, and S3 - Build and consume event-driven integrations via RabbitMQ and SNS - Collaborate on API design across REST (API Gateway) and BFF patterns - Instrument services with OpenTelemetry, Tempo, Prometheus, and Grafana - Ship via GitHub Actions CI/CD pipelines with Docker and ECR - Work with external integrations including Auth0, GraphHopper, PostHog, and Sentry - Leverage AI-assisted development tools (Claude) as part of your daily workflow - Participate in architecture decisions and technical direction – your opinion will carry weight Qualifications - 5+ years of professional backend development in Java and/or Kotlin - Fluent in Polish and English - Solid understanding of distributed systems design, microservice patterns, and event-driven architecture - Hands-on production experience with AWS (ECS, Lambda, S3, RDS or DynamoDB) - Experience with relational databases (PostgreSQL) and NoSQL (DynamoDB or similar) - Strong command of Docker and containerized deployments - Experience with CI/CD pipelines – we use GitHub Actions - Clean code as a practice, not a talking point – you write code that your colleagues can confidently extend - Genuine ability to self-direct: you can take a loosely defined problem, break it down, make decisions, and deliver Requirements - Kotlin specifically (greenfield services are Kotlin-first) - Experience with message brokers (RabbitMQ, SQS/SNS) - Familiarity with observability tooling (OpenTelemetry, Prometheus/Grafana stacks) - Background in logistics, routing, geospatial, or supply chain domains - Experience integrating third-party APIs (auth providers, mapping/routing engines, analytics) - Familiarity with AI-assisted development tools Benefits - Competitive salary benchmarked to your market - Remote-friendly setup (we care about output, not location) - Direct impact on a product used by global logistics professionals every day - Work in a genuinely interesting domain – intermodal routing is hard, and the problems are real - A lean, senior team where your architecture decisions actually ship - AI tooling as a first-class part of the workflow – not an afterthought

View details: Senior Backend Engineer

Poland

€20 - €25 / hour

Apply

Senior Software Engineer

Simbian Inc

Simbian® is building an Agentic AI platform for cybersecurity. Founded by repeat successful security founders, we have gathered an excellent cohort of employees, partners, and customers. Our mission is to solve security using AI and our core values are excellence, replication, and intellectual honesty. Our promise is to make Simbian the best workplace of your career, and we believe a small group of thoughtful, passionate people can make all the positive differences in the world. Our AI Agents automate security operations and provide our customers with 10x leverage. Our customers include some of the world’s largest companies. Our initial use cases include: AI-based SOC alert triage and investigation AI-based Threat Hunting AI-based Penetration Testing

Software Engineer2 days ago

Full Time Remote SeniorTeam 51-200

Role Description You will design and build the foundational development & infrastructure powering our agentic security platform — secure multi-tenant systems, distributed services, scalable execution layers, and the internal platform capabilities that allow our AI agents to operate reliably in production environments. You’ll work closely with founders, product, AI, and security engineering teams to build systems that are secure, observable, resilient, and scalable from day one. This role is ideal for engineers who think deeply about distributed systems, platform architecture, reliability, infrastructure, and backend scalability. In your first few months, you will: - Own end-to-end design and delivery of platform capabilities - Build and scale distributed backend services powering AI agents and customer workflows - Improve authentication, authorization, and tenant isolation across the platform - Design infrastructure and observability systems for reliability at scale - Deploy and operate production-grade systems with strong ownership beyond launch - Collaborate cross-functionally with engineering, product, customer-facing teams, and leadership to shape platform architecture and engineering standards Qualifications - 6+ years of strong backend or platform engineering experience - Strong understanding of distributed systems fundamentals - Experience designing and operating microservices at scale - Experience with authentication and authorization systems (OAuth, RBAC, JWT, SSO, IAM, etc.) - Strong knowledge of cloud infrastructure (AWS/GCP/Azure), containers, and CI/CD systems - Experience with observability tooling, monitoring systems, logging, tracing, and production debugging - Familiarity with asynchronous systems, queues, event streams, and workflow orchestration - Strong coding experience in Python, Go, Java, or Node.js - Ownership mindset — ability to take systems from concept → production → scale Requirements - Experience working on platform engineering or internal developer platforms - Experience with Kubernetes, Kafka, OpenTelemetry, Prometheus, Grafana, or similar tooling - Experience building multi-tenant SaaS platforms Benefits - Work with pioneering agentic AI security—impact global security teams. - Shape infrastructure for privacy-first technology in a high-growth startup. - Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement.

AI Agents Distributed Systems Observability/Monitoring Microservices OAuth JWT SSO Amazon IAM AWS GCP Azure Docker/Containers CI/CD Python Java Node.js Kubernetes Apache Kafka OpenTelemetry Prometheus Grafana

View details: Senior Software Engineer

Worldwide

Apply

Data Platform Observability Engineer

Glintt Global

Somos Glintt Global, una empresa de referencia en la Península Ibérica en Consultoría y Servicios Tecnológicos, con más de 30 años de experiencia. Nuestro objetivo es impactar positivamente en la calidad de vida de las personas a través de la innovación, la tecnología, el conocimiento y la ambición que nos definen. ¡Este es nuestro compromiso!

Sales Engineer2 days ago

Full Time Remote Mid Level

Role Description Desde Glintt Next buscamos incorporar un/a Data Platform Observability Engineer para reforzar el equipo de Observabilidad Funcional de uno de nuestros partners del sector energético. Como Data Platform Observability Engineer, tu día a día estará orientado a diseñar, instrumentar y evolucionar la estrategia de observabilidad de las plataformas de datos y aplicaciones, combinando métricas técnicas y funcionales con una clara orientación a negocio. Trabajarás con Datadog APM como herramienta principal, instrumentando aplicaciones para obtener métricas, trazas y logs estructurados, y definiendo SLIs, SLOs y KPIs funcionales que permitan medir de forma objetiva la salud y el rendimiento de los servicios. Colaborarás estrechamente con equipos técnicos y de negocio para: - Traducir necesidades funcionales en métricas accionables. - Diseñar dashboards de alto nivel orientados a negocio. - Garantizar una observabilidad robusta sobre entornos AWS. Modalidad: 100% remoto ¿Cómo te imaginamos? - Con una fuerte orientación a observabilidad y métricas, más allá de la pura operación. - Cómodo/a trabajando con equipos técnicos y de negocio. - Con mentalidad analítica, foco en la calidad del dato y visión de plataforma. - Proactivo/a, con autonomía y capacidad para proponer mejoras en la estrategia de observabilidad. Qualifications - Experiencia real y hands-on con Datadog, especialmente: - Datadog APM - Custom Metrics - Tracing distribuido - Experiencia instrumentando aplicaciones para métricas funcionales y técnicas usando Datadog. - Uso de logs como fuente de métricas (CloudWatch y/o generación de métricas en Datadog). - Conocimiento sólido en definición de SLIs y SLOs, y capacidad para guiar la definición de KPIs funcionales junto a negocio. - Buen dominio de AWS. - Capacidad de instrumentación en: - Python (imprescindible) - TypeScript y Java (deseables) - Conocimiento de OpenTelemetry (deseable). - Manejo avanzado del SDK de Datadog (imprescindible). - Experiencia en logging estructurado. - Diseño y construcción de dashboards de alto nivel orientados a negocio. Requirements - Experiencia con Grafana, especialmente en la parte de visualización. - Experiencia en control de tráfico entre servicios. - Conocimientos de Power BI para visualización. - Experiencia en captación de requisitos de negocio para la definición de SLOs. Company Description Somos Glintt Global, una empresa de referencia en la Península Ibérica en Consultoría y Servicios Tecnológicos, con más de 30 años de experiencia. Nuestro objetivo es impactar positivamente en la calidad de vida de las personas a través de la innovación, la tecnología, el conocimiento y la ambición que nos definen. ¡Este es nuestro compromiso!

Observability/Monitoring Datadog AWS C Amazon CloudWatch Python TypeScript Java OpenTelemetry SDK Grafana Power BI

View details: Data Platform Observability Engineer

Spain

Apply

381more opportunities are still waiting for you.Log in now and take your next shot before someone else does.

How We Keep Listings Searchable

Listings are indexed by role, location eligibility, salary signals, and tech stack to make filtering dependable for both broad and niche remote searches.

For best results, use one primary role filter first, then add compensation and stack constraints.

How To Search Faster Across Remote Roles

Role first, stack second

Select role intent first, then add tech stack filters to reduce overlap between adjacent categories like frontend, full stack, and product engineering.

Use seniority and employment type together

Combining seniority and employment type usually improves match precision and lowers page-by-page browsing time.

Check hourly updates for active windows

Listings refresh continuously, so revisiting role pages with fresh filters helps catch newly opened positions.

Related Remote Job Categories

Remote Frontend Jobs Remote Backend Jobs Remote Full Stack Jobs Remote Entry-Level Jobs Remote Full-time Jobs US-Only Remote Jobs

Remote Job Search Guides

All Guides US Remote Salary Guide Remote Interview Prep Remote Resume Tips

Frequently Asked Questions

Answers to common questions about remote job search, filters, and listing coverage.

What types of remote jobs are listed here?

You can find engineering, product, design, data, and operations roles from startups and larger companies.

How often are listings updated?

Listings are updated hourly to keep results fresh.

How can I find jobs that match my skills?

Use title, tech stack, salary, and location filters to narrow results to roles that match your background.

Are salary ranges always available?

Not every employer shares compensation, but when provided, salary data appears in filters and job cards.