Full-Stack Developer Jobs

Apache Kafka

105 jobs found. to receive daily emails with new job openings that match your preferences.

105 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Engineering Manager (Consumer - Trading)

Posted 1 day ago

📍 USA

🧭 Full-Time

💸 218025.0 - 256500.0 USD per year

🔍 Financial Systems

🏢 Company: Coinbase Careers Page👥 1000-5000

🔧 Requirements

At least 7 years of experience in software engineering, especially with web-scale traffic
At least 2 years of engineering management experience.
You possess a strong understanding of what constitutes high-quality code and effective software engineering processes, creating an environment that fosters these principles.
An execution-focused mindset, capable of navigating through ambiguity and delivering results.
An ability to balance long-term strategic thinking with short-term planning.
Experience in creating, delivering, and operating multi-tenanted, distributed systems at scale.
You can be hands-on when needed – whether that’s writing/reviewing code or technical documents, participating in on-call rotations and leading incidents, or triaging/troubleshooting bugs.
Your passion for building an open financial system that brings the world together drives you to excel in this role.
You’ve designed, built, scaled, and maintained production services as they evolve over time
You have a high bar for product excellence, pairing customer obsession with comprehensive observability
You take pride in being up-to-date with the latest industry standards and best practices

💡 Responsibilities

Build and manage full-stack engineering teams, to guide the development of features, services, and infrastructure across both web and mobile.
Coach your direct reports to have a positive impact on the organization and support their career growth.
Collaborate with engineers, designers, product managers, and senior leadership to translate our vision into a tangible roadmap on a quarterly basis. Break down complex projects into smaller pieces and lead the iterative design and implementation process.
Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes. Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.
Work closely with our talent organization to identify and recruit exceptional engineers who align with Coinbase's culture and contribute to our products.
Contribute to and take ownership of processes that drive engineering quality and meet our engineering SLAs.
Power highly performant, highly available systems for traders worldwide
Architect robust systems that are easy to build on top of supporting many instrument types (Spot, Futures, Perpetual Futures, and more)
Work in tight collaboration with product and design to articulate a best-in-class product experience
Translate your best ideas into tangible, high value features our customers love

AWS Backend Development Leadership SQL Blockchain Frontend Development Full Stack Development Java MongoDB People Management ActiveMQ Apache Kafka API testing Redis CI/CD RESTful APIs Microservices NodeJS Software Engineering

Posted 1 day ago

Apply

🔥 Software Engineer 2

Posted 1 day ago

📍 UK

🔍 Cybersecurity

🏢 Company: Abnormal👥 501-1000💰 $250,000,000 Series D 10 months agoArtificial Intelligence (AI)Email Information Technology Cyber Security Network Security

🔧 Requirements

Streaming data systems - using Kafka, Spark, Map/Reduce or similar to process large data sets
Experience with building and operating distributed systems and services at a high scale (~billions of transactions each day)
Working with external party APIs
3-5 years of overall software engineering experience
Strong sense of best practices in developing software

💡 Responsibilities

Build out streaming infrastructure for our data integration platform
Be able to capture data from slack, teams and other streaming data platforms for processing within our Data Ingestion Platform (DIP)
Work to integrate customers into the new streaming infrastructure, migrating from the older polling model where necessary
Work with Product Managers, Designers & Account TakeOver (ATO) detection team on product requirements and frontend implementation
Partner with our ATO Detection team
Understand the workflows and processes of the ATO Detection team. Be an effective liaison between ATO Infrastructure <> ATO Detection to understand and represent ATO Detection team needs, and convert those needs into ATO Infrastructure team deliverables
Help build our group through excellent interview practices
Be a talent magnet - someone who through the interview process demonstrates their own strengths in a way that attracts candidates to Abnormal and to the ATO team and ensures that we close the candidates we want to close

Backend Development Python Software Development Cybersecurity Apache Kafka API testing Spark Communication Skills CI/CD RESTful APIs DevOps Microservices Software Engineering

Posted 1 day ago

Apply

🔥 Data Engineer II (@Remote, Chile and Colombia)

Posted 2 days ago

📍 Chile, Colombia

🔍 Software Development

🏢 Company: OfferUp👥 251-500💰 $120,000,000 about 5 years ago🫂 Last layoff over 2 years agoMobile Payments Marketplace E-Commerce E-Commerce Platforms Apps Mobile Classifieds

🔧 Requirements

3+ years of professional software development experience
Strong ability in distributed systems for processing large scale data processing
Ability to communicate technical information effectively to technical and non-technical audiences
Proficiency in SQL and Python
Experience leveraging open source data infrastructure projects, such as Airflow, Kafka, Avro, Parquet, Hadoop, Hive, HBase, Presto or Druid
Experience building scalable data pipelines and real-time data streams
Experience building software in AWS or a similar cloud environment
Experience with AWS services like Kinesis, Firehose, Lambda, Sagemaker is a big plus
Experience with GCP services like BigQuery, Cloud Functions is a big plus
Experience with operational tools like Terraform, Datadog and Pagerduty is a big plus

💡 Responsibilities

Design and develop applications to process large amounts of critical information to power analytics and user-facing features.
Monitor and resolve data pipeline or data integrity issues.
Work across multiple teams to understand their data needs.
Maintain and expand our data infrastructure.

AWS Python Software Development SQL Apache Airflow Cloud Computing GCP Apache Kafka Data engineering Terraform Data visualization

Posted 2 days ago

Apply

🔥 Data Platform Engineer

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 180000.0 - 220000.0 USD per year

🔍 Software Development

🏢 Company: Prepared👥 51-100💰 $27,000,000 Series B 8 months agoEnterprise Software Public Safety

🔧 Requirements

5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common data-focused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWS-based data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills
Ability to work independently and take initiative
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes)

💡 Responsibilities

Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics

AWS Docker PostgreSQL Python SQL Apache Airflow ETL Kubernetes Snowflake Apache Kafka Data engineering Spark Scala Data modeling

Posted 2 days ago

Apply

🔥 Principal Software Engineer - AI Platforms & Communications

Posted 2 days ago

📍 US

🧭 Full-Time

🔍 Software Development

🏢 Company: Weave👥 501-1000💰 $70,000,000 Series D over 5 years agoMedical SaaS VoIP Unified Communications Small and Medium Businesses Software

🔧 Requirements

10+ years building distributed, customer‑facing systems; 3+ years designing ML or LLM production workloads at scale.
Proven success with LLMs, RAG architectures, vector databases (e.g., Pinecone, Weaviate, PG Vector), embedding models, and fine‑tuning techniques.
Deep knowledge of multi‑tenant SaaS patterns, data isolation, and usage‑based cost modeling.
Fluency in at least one of Go, Python, or Java (Go/Python preferred) plus modern cloud stacks (GCP or AWS).
Experience integrating or operating communications stacks—SIP/WebRTC for voice, SMS gateways, and transactional email services.
Expertise in Kubernetes, IaC/GitOps, observability, and CI/CD for high‑compliance environments (HIPAA/PCI).
Track record of shipping large, cross‑org initiatives on time and mentoring others to do the same.

💡 Responsibilities

Set architecture & strategy for multi‑tenant, AI‑powered communications services (voice, SMS, email).
Design and build RAG pipelines, vector‑store–backed retrieval layers, and fine‑tuning workflows that deliver low‑latency, context‑aware experiences.
Lead end‑to‑end platform initiatives: data ingestion, event processing, model hosting, continuous evaluation, and cost/latency optimization.
Champion best practices for LLM safety, prompt management, experiment tracking, observability, and auto‑scaling.
Influence roadmaps across Product, Design, and multiple engineering squads; unblock teams with reusable SDKs, templates, and reference architectures.
Mentor & level‑up senior and staff engineers; foster a culture of ownership, experimentation, and inclusive collaboration.

AWS Backend Development Python SQL Artificial Intelligence Cloud Computing GCP Java Kubernetes Machine Learning Software Architecture Apache Kafka Data engineering Go WebRTC CI/CD RESTful APIs DevOps Microservices

Posted 2 days ago

Apply

🔥 Senior Solutions Architect

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 104000.0 - 265000.0 USD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabase Open Source Cloud Computing SaaS Software

🔧 Requirements

Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Experience designing with scalable and highly available distributed systems in the cloud and on-prem
Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology

💡 Responsibilities

Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

AWS Node.js Python SQL Cloud Computing Kubernetes MongoDB Software Architecture Apache Kafka API testing Data engineering Communication Skills CI/CD RESTful APIs Presentation skills Microservices Sales experience Data modeling Customer Success

Posted 2 days ago

Apply

🔥 Advisory Solutions Architect

Posted 2 days ago

📍 Canada

🧭 Full-Time

💸 137000.0 - 228000.0 CAD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabase Open Source Cloud Computing SaaS Software

🔧 Requirements

Ideally, 12+ years of related experience in a customer facing role, minimum 7 years of pre-sales experience while navigating complex enterprise software sales cycles with multiple stakeholders
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Experience designing with scalable and highly available distributed systems in the cloud and on-prem
Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
Presented at industry conferences, published articles, papers or blog posts sharing expertise and showing thought leadership
Demonstrated ability to drive effective collaboration with Sales Leadership at the Regional Director level to proactively identify strategies driving growth across multiple Sales Reps / Accounts or Industry Verticals
Demonstrated strong understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
The ability to travel up to 25%
A Master’s degree or equivalent work experience

💡 Responsibilities

Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
Customer Advising and Value Articulation: Guide customers on architecture patterns and optimization strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members. Show thought leadership through publication of articles, public speaking sessions or panels
Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

AWS Leadership Node.js Project Management Python SQL Cloud Computing Kubernetes MongoDB Salesforce Software Architecture Apache Kafka Azure REST API Communication Skills Analytical Skills Collaboration CI/CD Problem Solving Customer service Mentoring Negotiation DevOps Presentation skills Microservices Excellent communication skills Account Management Teamwork Training Sales experience Data modeling Scripting Customer Success

Posted 2 days ago

Apply

🔥 Engineering Manager

Posted 3 days ago

📍 Netherlands

🔍 Software Development

🏢 Company: WD

🔧 Requirements

6 or more years of software development experience, with at least 2 years in leadership roles
Experience developing public APIs with OpenAPI specifications and service-level contracts
Experience working with map and location libraries (eg. Mapbox)
Experience with coaching, mentoring and growing team members.
Experience with Amazon Web Services, event driven architecture, building client facing data applications, and in the real-estate, domain is a plus.

💡 Responsibilities

Lead a cross-functional team of Frontend, Backend/API and Quality Assurance engineers to deliver against teams' objectives and milestones.
Actively participate in the full software development lifecycle from ideation and planning through to development, testing, customer feedback and further iterations.
Proactively suggest improvements across the whole stack.
Collaborate with Product Owners, Data Engineers, Data Scientists to expose data through the web application.
Build and maintain our backend tech stack of Python, Airflow, PostgreSQL, Kafka.
Provide architectural and design direction, control technical debt, promote collaboration and engagement in the product team.
Work closely with other Engineering Managers on cross team topics such as continuous deployment, improving our testing and monitoring, front end user logging, etc.
Perform other duties as assigned

AWS Backend Development Leadership PostgreSQL Python Software Development Agile Apache Airflow Frontend Development QA Apache Kafka API testing Communication Skills CI/CD RESTful APIs Mentoring Team management Software Engineering

Posted 3 days ago

Apply

🔥 Staff Data Engineer

Posted 4 days ago

📍 United States, Canada

🧭 Full-Time

💸 158000.0 - 239000.0 USD per year

🔍 Software Development

🏢 Company: 1Password

🔧 Requirements

Minimum of 8+ years of professional software engineering experience.
Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages.
In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies.
Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing.
Experience with Big Data query engines such as Hive, Presto, Trino, Spark.
Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.

💡 Responsibilities

Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience.
Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages.
Build scalable data pipelines using best-in-class software engineering practices.
Develop optimal data models for storage and retrieval, meeting critical product and business requirements.
Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security.
Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services.
Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions.
Influence and evangelize high standard of code quality, system reliability, and performance.

AWS Python SQL ETL GCP Java Kubernetes MySQL Snowflake Algorithms Apache Kafka Azure Data engineering Data Structures Postgres RDBMS Spark CI/CD RESTful APIs Mentoring Scala Data visualization Data modeling Software Engineering Data analytics Data management

Posted 4 days ago

Apply

🔥 (Senior) Software Engineer (m/w/d) C#/.NET - 100% Remote innerhalb Deutschlands möglich

Posted 4 days ago

📍 Germany

🧭 Full-Time

🔍 FinTech

🔧 Requirements

Several years of experience in the development and operation of web applications in the cloud (ideally with Microsoft Azure)
Very good knowledge of software development with .NET (C#)
Independent, structured and goal-oriented way of working
Strong initiative and communication and criticism skills

💡 Responsibilities

Work in a small, agile software development team with interfaces to all company departments
Further development of our cloud-based software solution based on .NET 9 and Microsoft Azure
Responsibility for the entire lifecycle of our systems according to the principle "You build it, you run it"
Monitoring our systems and dashboards as well as performing error analysis to continuously optimize our platform

Docker Software Development SQL Agile ASP.NET Kubernetes Microsoft Azure C#Apache Kafka .NET REST API CI/CD Terraform

Posted 4 days ago

Apply

Shown 10 out of 105

Ready to Start Your Remote Journey?

Apply to 5 jobs per day for free, or get unlimited applications with a subscription starting at €5/week.

Subscribe Now Sign Up Free

Why Full-Stack Developer Jobs Are Becoming More Popular

The remote work from home is increasingly in demand among computer and IT professionals for several reasons:

Flexibility in time and location.
Collaboration with international companies.
Higher salary levels.
Lack of ties to the office.

Remote work opens up new opportunities for specialists, allowing them to go beyond geographical limits and build a successful remote IT career. This employment model is transforming traditional work approaches, making it more convenient, efficient, and accessible for professionals worldwide.

Why do Job Seekers Choose Remoote.app?

Our platform offers convenient conditions for finding remote IT jobs from home:

localized search — filter job listings based on your country of residence;
AI-powered job processing — artificial intelligence analyzes thousands of listings, highlighting key details so you don’t have to read long descriptions;
advanced filters — sort vacancies by skills, experience, qualification level, and work model;
regular database updates — we monitor job relevance and remove outdated listings;
personalized notifications — get tailored job offers directly via email or Telegram;
resume builder — create a professional VC with ease using our customizable templates and AI-powered suggestions;
data security — modern encryption technologies ensure the protection of your personal information.

Join our platform and find your dream job today! We offer flexible pricing — up to 5 applications per day for free, with weekly, monthly, and yearly subscription plans for extended access.