Full-Stack Developer Jobs

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🔥 HR Data Engineer

Posted about 8 hours ago

📍 United States

💸 94800.0 - 151400.0 USD per year

🏢 Company: careers_gm

🔧 Requirements

5+ years of experience in HR Data Engineer role leading HR data engineering transformation and implementing data pipelines and data solutions in the People Analytics/HR domain
Very good understanding of HR data and HR employee lifecycle processes (talent acquisition, talent development, workforce planning, engagement, employee listening, external benchmarking etc.)
Very good understanding of HCM data architecture, models and data pipelines and experience designing and implementing data integrations and ETLs with Workday (RaaS, APIs)
Experience designing and automating data and analytics solutions that can provide insights and recommendations at scale
Proficiency in SQL, R/Python and ETL tools
Deep expertise in modern data platforms (particularly Databricks) and end-to-end data architecture (DLT Streaming Pipelines, Workflows, Notebooks, DeltaLake, Unity Catalog)
Experience with different authentication (Basic Auth, Oauth, etc.) and encryption methods and tools (GPG, Voltage, etc.)
Very strong data analytics skills and ability to leverage multiple internal and external data sources to enable data-driven insights and inform strategic talent decisions
Knowledge of compliance and regulatory requirements associated with data management
Experience working in environments requiring strict confidentiality and handling of sensitive data
Great communication skills and ability to explain complex technical concepts to non-technical stakeholders.
Degree with quantitative focus (e.g., Mathematics, Statistics) and/or degree in Human Resources is a plus

💡 Responsibilities

Design, develop, and maintain ETL/ELT processes for HR data from multiple systems including Workday to empower data-driven decision-making
Drive implementation of robust HR data models and pipelines optimized for reporting and analytics, ensuring data quality, reliability, and security for on-prem and Azure cloud solutions.
Develop pipelines and testing automation to ensure HR data quality and integrity across multiple data sources
Collaborate with People Analytics and HR business partners to understand data requirements and deliver reliable solutions. Collaborate with technical teams to build the best-in-class data environment and technology stack for People Analytics teams.
Ensure data integrity, quality, consistency, security, and compliance (e.g., GDPR, CCPA, HIPAA where applicable).
Design and implement secure processes for handling sensitive information in our data tech stack while maintaining appropriate access controls and confidentiality
Automate manual HR reporting and improve data accessibility through scalable data pipelines across the entire HR employee lifecycle
Troubleshoot and resolve data-related issues quickly and efficiently.
Contribute to HR tech stack evaluations and migrations, especially around data capabilities and API integrations.
Incorporate external data sources into internal datasets for comprehensive analysis
Manage and optimize platform architecture including Databricks environment configuration and performance optimization
Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain

AWS Python SQL Apache Airflow ETL API testing Azure Data engineering Nosql RESTful APIs Data visualization Data modeling Data analytics Data management

Posted about 8 hours ago

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🔥 Associate, Implementations

Posted 1 day ago

📍 United States

💸 90000.0 - 110000.0 USD per year

🔍 Banking

🔧 Requirements

Strong problem-solving abilities and the capacity to lead strategic implementations that drive client success
Experience working in client-facing roles, ideally within professional services, consulting, or technology implementation
Familiarity with no-code/low-code platforms and workflow configuration; technical aptitude with business process optimization preferred
Experience with financial services, banking operations, or complex B2B software implementations strongly preferred
Excellent communication skills and the ability to build trust and credibility with clients ranging from bank executives to operations staff
A proactive, results-oriented mindset, with a passion for helping clients achieve their goals through innovative technology solutions
Strategic thinking combined with attention to detail—you can see the big picture while ensuring flawless execution
A drive for continuous learning and improvement, both for yourself and the clients you support

💡 Responsibilities

Lead clients through the implementation process, guiding them on best practices for configuring and optimizing workflows using Prelim's no-code platform
Manage complex, high-impact projects that enhance essential banking services, including account onboarding, customer maintenance, treasury services, and lending processes
Work collaboratively with cross-functional teams, including engineering, product, and customer success, to ensure seamless delivery of Prelim's solutions
Serve as a trusted advisor to clients, helping them understand how to fully leverage Prelim's platform to streamline operations and drive measurable business outcomes
Analyze client requirements and translate them into effective, scalable workflow configurations that address real-world banking challenges
Continuously review and refine workflows to enhance efficiency and value for both internal teams and clients
Provide strategic insights and feedback to product teams, contributing to ongoing platform improvements and innovation
Build and maintain strong relationships with banking executives and operations teams across multiple client organizations

Project Management SQL Nosql Communication Skills Analytical Skills RESTful APIs Client relationship management Cross-functional collaboration Strategic thinking Data modeling Customer Success

Posted 1 day ago

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🔥 Lead Backend & MLOps Engineer

Posted 1 day ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Buzz Solutions

🔧 Requirements

8+ years of industry experience with modern systems development, ideally end to end pipelines and applications development
Track record of shipping complex backend features end-to-end
Ability to translate customer requirements into technical solutions
Strong programming and computer science fundamentals and quality standards
Experience with Python and modern web frameworks (FastAPI) and Pydantic
Experience designing, implementing, and debugging web technologies and server architecture
Experience with modern python packaging and distribution (uv, poetry)
Deep understanding of distributed systems and scalable architecture
Experience building reusable, modular systems that enable rapid development and easy modification
Strong experience with data storage systems (PostgreSQL, Redis, BigQuery, MongoDB)
Expertise with queuing/streaming systems (RabbitMQ, Kafka, SQS)
Expertise with workflow orchestration frameworks (Celery, Temporal, Airflow) and DAG-based processing
Proficiency in utilizing and maintaining cloud infrastructure services (Google Cloud/AWS/Azure)
Experience with Kubernetes for container orchestration and deployment
Solid grasp of system design patterns and tradeoffs
Experience and in-depth understanding of AI/ML systems integration
Deep understanding of the ML Lifecyle
Experience with big data technologies and data pipeline development
Experience containerizing and deploying ML applications (Docker) for training and inference workloads
Experience with real-time streaming and batch processing systems for ML model workflows
Experience with vector databases and search systems for similarity search and embeddings

💡 Responsibilities

Partner closely with engineering (software, data, and machine learning), product, and design leadership to define product-led growth strategy with an ownership-driven approach
Establish best practices, frameworks, and repeatable processes to measure the impact of every feature shipped, taking initiative to identify and solve problems proactively
Make effective tradeoffs considering business priorities, user experience, and sustainable technical foundation with a startup mindset focused on rapid iteration and results
Develop and lead team execution against both short-term and long-term roadmaps, demonstrating self-starter qualities and end-to-end accountability
Mentor and grow team members to be successful contributors while fostering an ownership culture and entrepreneurial thinking
Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance
Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture
Implement comprehensive MLOps workflows including model registry, deployment pipelines, monitoring systems for model drift, and CI/CD automation for ML-based backend services
Establish robust testing, monitoring, and security frameworks including unit/stress testing, vulnerability assessments, and customer usage analytics
Drive technical excellence through documentation, code reviews, standardized practices, and strategic technology stack recommendations

AWS Backend Development Docker PostgreSQL Python SQL Cloud Computing GCP Kafka Kubernetes Machine Learning MLFlow MongoDB Rabbitmq Airflow FastAPI Redis Nosql CI/CD RESTful APIs Microservices

Posted 1 day ago

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🔥 Software Engineer (Remote)

Posted 1 day ago

📍 United States of America

🏢 Company: kohlscareers

🔧 Requirements

2+ years of experience in software development
Knowledge of application design patterns, event-driven architecture, database schemas and testing strategies
Experience in Java and JEE development, Spring Boot, Spring MVC, Spring Batch, Spring Security

💡 Responsibilities

Develop high-quality applications using extreme programming (XP) practices and a user-centric approach
Participate in the entire application lifecycle in collaboration with designers, product managers and other engineers on the product team
Leverage critical thinking, experimentation, data and industry best practices to achieve desired business outcomes

Backend Development Software Development SQL Design Patterns Git Java Java EE Spring Boot Spring MVC Redis Nosql CI/CD RESTful APIs

Posted 1 day ago

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🔥 Senior Software Engineer (Remote - US or Canada)

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed over 2 years agoInternet

🔧 Requirements

5+ years of experience building scalable backend applications and APIs.
Proficiency in Go, Python, or Java, with a strong grasp of SQL and NoSQL databases (e.g., Bigtable, BigQuery, DynamoDB).
Experience working with cloud infrastructure, preferably AWS or GCP, and CI/CD pipelines.
Familiarity with containerization technologies such as Docker and Kubernetes.
Strong problem-solving and analytical skills, with the ability to communicate complex concepts clearly.

💡 Responsibilities

Design and implement ETL pipelines capable of processing large-scale datasets efficiently.
Build and maintain robust APIs for data retrieval, including support for complex query types.
Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.
Transform raw data into structured, high-value data products to support business and operational decisions.
Collaborate with internal stakeholders to align data architecture with product and customer needs.
Document technical processes and mentor junior team members.
Ensure performance, security, and scalability across the data platform.

AWS Backend Development Docker Python SQL DynamoDB ETL GCP Java Kubernetes API testing Data engineering Go Nosql CI/CD RESTful APIs Data modeling Software Engineering Data analytics

Posted 2 days ago

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🔥 Software Application Architect (Remote)

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 140000.0 - 155000.0 USD per year

🔍 Software Development

🏢 Company: PolarisJobs👥 1-10💰 $200,000 Pre-seed 8 months agoArtificial Intelligence (AI)Human Resources SaaS B2B

🔧 Requirements

10+ years of experience in web application development using C#, ASP.NET, MVC, and Visual Studio
2+ years in an Application Architect role
Proven experience designing and implementing cloud-native applications on Microsoft Azure, including services like Azure Functions, App Service, API Management, and Service Bus
Experience using Azure Data Factory (ADF) to create and orchestrate data pipelines for moving and transforming data between various data stores.
Well-versed in front-end framework.
Strong understanding of software architecture patterns
Proficiency in relational database design and development using SQL Server
Demonstrated ability to create and communicate architectural diagrams, technical documentation, and solution blueprints
Familiarity with front-end frameworks like Angular and modern JavaScript/TypeScript development
Experience with API development, including RESTful and GraphQL APIs
Strong understanding of security best practices in application development (e.g., authentication, authorization, data protection)
Experience working in agile environments and participating in sprint planning, backlog grooming, and retrospectives
Excellent problem-solving, communication, and collaboration skills across technical and non-technical stakeholders

💡 Responsibilities

Champion enterprise architecture principles, standards, and patterns
Design and evolve cloud-native, scalable, and resilient applications
Collaborate with Solution Architects to define cross-team architectural strategies
Evaluate and recommend system solutions, balancing custom development and third-party tool
Lead the design and development of scalable, cloud-native applications using C#, .NET 8, Azure capabilities, and RESTful APIs
Architect and implement solutions using Angular and SPA patterns
Integrate with Azure services such as Service Bus, API Management, and App Services
Ensure application designs are secure, performant, and aligned with enterprise architecture standards
Provide technical leadership and mentorship to development teams
Participate in agile ceremonies and contribute to sprint planning and retrospectives
Collaborate with product owners, UX designers, and stakeholders to refine user experiences
Promote a culture of continuous improvement and innovation
Leverage AI-assisted development tools such as GitHub Copilot to accelerate coding, improve code quality, and enhance developer productivity across teams
Promote best practices for integrating AI tools into the software development lifecycle, including code generation, documentation, and testing
Evaluate and recommend emerging AI-driven engineering tools to improve team efficiency and innovation
Mentor developers on effective use of AI tools to support clean architecture, maintainability, and consistency in codebases
Monitor and reduce technical debt, ensuring long-term maintainability
Support and enhance deployed solutions across environments
Ensure software meets quality, security, and extensibility standards
Create and maintain technical documentation and support tools

GraphQL Agile ASP.NET Cloud Computing Frontend Development Microsoft .NET Software Architecture C#API testing Azure Angular Nosql RESTful APIs

Posted 2 days ago

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🔥 Mid-Level Software Engineer | Billing

Posted 2 days ago

📍 Brazil

🔍 Wellness

🏢 Company: Wellhub

🔧 Requirements

Foundational knowledge of RESTful APIs written in Java/Kotlin + Spring
Knowledge on Cloud computing (AWS) and Cloud Native (K8s), willing to learn and get deeper understanding on these topics
Experience with SQL technology such as PostgreSQL
Experience with NoSQL technology such as DynamoDB
Experience with microservices

💡 Responsibilities

Implement, test and deliver solutions working with a cross-functional team
Handle the entire company revenue recognition process and accounting, by creating architectural layers of integration with the company ERP for its global operations

AWS Backend Development PostgreSQL SQL Cloud Computing DynamoDB Java Kotlin Kubernetes Spring Nosql RESTful APIs Microservices Software Engineering

Posted 2 days ago

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🔥 Backend Developer Mid Python Y Zoho - Part time

Posted 2 days ago

📍 Argentina, Mexico, Colombia, Peru

🧭 Part-Time

🔍 Software Development

🏢 Company: Multiplica Talent👥 101-250 Staffing Agency Outsourcing Information Technology Recruiting

🔧 Requirements

Experiencia demostrada como Backend Developer, preferiblemente en un entorno de desarrollo empresarial.
Fuerte experiencia en el desarrollo y la integración de APIs, especialmente con Python.
Conocimiento sólido de los principios de diseño de software, patrones de diseño y arquitecturas de microservicios.
Experiencia previa con Zoho CRM y otras aplicaciones de Zoho (preferido).
Competencia en el desarrollo con Python de al menos 3 años.
Familiaridad con bases de datos relacionales y no relacionales, así como con herramientas de almacenamiento de datos.
Habilidad para trabajar de forma colaborativa en un equipo multidisciplinario.
Excelentes habilidades de resolución de problemas y atención al detalle.
Buena capacidad de comunicación verbal y escrita en español e inglés.
Zoho CRM está hecho en Java (Spring Framework) por lo que dominio en dicho lenguaje sería esencial

💡 Responsibilities

Colaborar estrechamente con el equipo de desarrollo para mejorar y mantener el desarrollo existente.
Integrar APIs de Python en el desarrollo actual para mejorar la funcionalidad y la interoperabilidad.
Desarrollar y mantener integraciones entre Zoho CRM, Zoho Bus y Zoho Expense.
Diseñar, desarrollar y mantener servicios backend escalables y eficientes.
Participar en la planificación, diseño y ejecución de nuevos desarrollos y funcionalidades.
Colaborar con otros equipos técnicos para garantizar la coherencia y la calidad del código.
Realizar pruebas exhaustivas y resolver problemas para garantizar la estabilidad y la fiabilidad de los sistemas.

Backend Development Python SQL Design Patterns Java Software Architecture API testing Nosql RESTful APIs Microservices

Posted 2 days ago

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🔥 Software Engineer- API Platform

Posted 3 days ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Sift👥 251-500💰 Secondary Market over 3 years agoFraud Detection Big Data Predictive Analytics Analytics Network Security

🔧 Requirements

Strong knowledge of data structures, distributed algorithms, and asynchronous architectures
Experience designing and maintaining scalable public APIs
Extensive experience using large-scale NoSQL databases like Bigtable, HBase or Cassandra
Familiarity with setting up, managing, and deploying to the cloud (e.g. AWS/GCP)

💡 Responsibilities

Build highly scalable, distributed services that can handle hundreds of millions of events per day.
Partner with product management to help scope and shape project requirements.
Implement engineering solutions to address complex customer needs at scale.
Collaborate with other engineers within the API Platform team as well as across other engineering teams.
Help evolve and improve our engineering practices.
Document and demonstrate solutions by developing documentation, flowcharts, diagrams, code comments and maintain good code hygiene.

Backend Development Cloud Computing GCP Java Kafka Kubernetes Algorithms API testing Data Structures gRPC Postgres REST API Nosql Communication Skills Collaboration Microservices Software Engineering

Posted 3 days ago

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🔥 Technical Operations Specialist

Posted 3 days ago

📍 Arkansas, Arizona, California, Colorado, Illinois, Massachusetts, Michigan, Nevada, North Carolina, New Jersey, New York, Tennessee, Texas, Washington

🧭 Full-Time

🏢 Company: Arrived👥 1-50

🔧 Requirements

Experience with no-code/low-code tools (Zapier, Retool, Coda, n8n, etc)
Know when and software engineer, but can write/debug a solid Python script with the help of AI
Comfortable building functional MVPs: shipping fast, iterating, and improving over time
Strong with data: fluent in SQL, wrangling spreadsheets, and logic.
Have set up ETLs using tools like dbt, Airbyte, Fivetran, or custom scripts
Understand API basics (GET/POST, JSON formats), and have hands-on experience working with APIs, webhooks, and lightweight scripting for integrations
Know how to design semantic layers and define clean, well-modeled data marts
Can take a vague business process and turn it into a repeatable workflow

💡 Responsibilities

Run end-to-end process-improvement projects – map processes, identify optimization opportunities, and deliver solutions that improve efficiency and effectiveness of teams.
Partner cross-functionally & triage requests – act as the connector between Legal, Finance, Investments, Product, and Engineering teams, gathering requirements and scoping solutions that work for all stakeholders.
Create internal tooling & automations – build and maintain low-code apps, scripts, and integrations that eliminate manual work and streamline repeatable operational tasks (using tools like Coda, Zapier, n8n, Python scripts).
Enable self-service analytics & reporting – work with internal teams to define business-critical metrics and help guide the building of dashboards, reports, and ad-hoc analyses to surface accurate, actionable insights.

AWS Project Management Python SQL Apache Airflow ETL Git Snowflake API testing Data engineering Data Structures Nosql Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs JSON Cross-functional collaboration Data visualization Data modeling Scripting Data analytics Data management

Posted 3 days ago

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