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🔥 Engineering Manager (Claims Platform)

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 198050.0 - 233000.0 USD per year

🔍 Health Tech

🔧 Requirements

3+ years of experience as an Engineering Manager
3-5+ years of experience as a Software Engineer
Track record of building and leading high performing teams that have effectively delivered business outcomes through technical investments
Strong technical foundation
Strong product mindset
Track record of working well across teams and functions
Prior experience with Python and React (Nice to have)
Experience working with AWS infrastructure (Nice to have)
Experience in health tech, building user-facing products (Nice to have)
BS, MS in Computer Science or related field

💡 Responsibilities

Lead and manage a team (or teams) of 8+ engineers
Ensure there is process and product alignment across your team
Develop and grow your team through weekly 1-1s, mentorship, and feedback
Work with and help develop aspiring engineering leaders within the engineering team
Contribute to the broader company strategy and product roadmap
Help build out our engineering team as the headcount grows from 80 to 120+ through the remainder of the year

AWS Backend Development Docker Leadership PostgreSQL Project Management Python Cloud Computing Data Analysis Kafka People Management Product Management React.js TypeScript Cross-functional Team Leadership Algorithms Data Structures FastAPI REST API Redis Strategic Management React Spark Communication Skills Analytical Skills CI/CD Problem Solving Agile methodologies Mentoring Relationship building Team management Software Engineering Debugging

Posted about 2 hours ago

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🔥 Staff Engineer

Posted about 7 hours ago

📍 Central and Eastern Europe, Asia, Middle East, and Africa

🔍 Quality Management

🏢 Company: Testlio👥 101-250💰 $12,000,000 Series B over 3 years agoDeveloper Tools Test and Measurement SaaS Mobile Software

🔧 Requirements

5-10 years of full-stack coding experience, building modern cloud-native applications
Strong affinity with our tech stack of React, TypeScript, NodeJS, Graphql, PHP, MySQL, AWS, Kafka
In-depth knowledge of core browser concepts and responsive web design
Practical knowledge of modern API architecture, microservices, and event-driven design
Experience in writing automated tests is a strong plus
AI/ML experience is a plus
AWS Solutions Architect certification is a plus

💡 Responsibilities

Work in a team environment: contribute to team tasks and goals; follow team processes (Scrum) and rituals
Work closely with designers and business stakeholders to bring the best solutions to end users
Do technical design of full stack system components that fit into long-term architecture, addressing all the functional and non-functional requirements
Build and implement performant, scalable, and quality products, in an iterative approach
Write quality code, push for high standards, conduct code reviews
Write automated tests and conduct manual testing of changes
Lead debugging and root cause analysis of complex problems, offer solutions
Help and mentor other team members, proactively share and document knowledge

AWS GraphQL Node.js PHP Software Development Agile Cloud Computing Full Stack Development Kafka MySQL QA Automation React.js SCRUM TypeScript Algorithms API testing Data Structures Manual testing TestRail CI/CD RESTful APIs DevOps Microservices Software Engineering Debugging

Posted about 7 hours ago

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🔥 Principal Engineer (Go), Analytics

Posted about 8 hours ago

📍 Worldwide

🧭 Full-Time

🔍 Software Development

🏢 Company: GitLab👥 1001-5000💰 $268,000,000 Series E over 5 years ago🫂 Last layoff about 2 years agoDeveloper Tools DevOps Open Source SaaS Cloud Security

🔧 Requirements

Significant professional experience as a Principal Engineer, or relevant hands-on management and leadership experience, across multiple development teams.
Significant professional experience with Go. Significant experience with Ruby on Rails, Postgres, ClickHouse, NATS/Kafka are also a plus.
Extensive experience building high-throughput, realtime distributed systems that perform reliably and at scale.
Expert knowledge and experience in CI/CD using DevSecOps best practices and a strong interest working across analytics and insights development.
Experience developing solutions that can scale from resource-constrained on-premise applications, to mission-critical SaaS platforms with tens of millions of users
Demonstrated capacity to clearly and concisely communicate complex problems and solutions.
Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems.
Comfort working in a highly agile, intensely iterative software development process.
Experience owning a project from concept to production, including proposal, discussion, and execution.

💡 Responsibilities

Contribute to the overall direction of the Analytics stage and company-wide reporting and analytics initiatives by collaborating and making proposals across several teams on their engineering work, and helping their team members make informed decisions in alignment with strategic plans
Teach, mentor, grow, and provide advice to other domain experts and individual contributors across several teams. Advise on resourcing requirements and provide feedback on promotions into technical leadership roles
Plan improvements and features with a 12-month view and ensure that OKR-level goals are aligned across the stage
Solve technical problems of the highest scope, complexity, and ambiguity while looking for innovation opportunities between several teams and demonstrating a willingness to experiment and to boldly confront problems of large complexity and scope
Interface with Engineering Managers and Senior Management, and enable Staff Engineers to engage on stage-level aspects of larger (sub-department wide) initiatives. Provide a point of escalation for sub-department teams facing complex technical challenges
Propose initial technical implementations which support architectural changes that solve scaling and performance problems
Interact with customers and other external stakeholders as a consultant and spokesperson for the work of your sub-department
Identify slow and inefficient code across multiple products

Backend Development Leadership PostgreSQL Software Development SQL Git Kafka Kubernetes Ruby on Rails Clickhouse Data engineering Go REST API Communication Skills Analytical Skills Collaboration CI/CD DevOps Data analytics SaaS

Posted about 8 hours ago

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🔥 Staff Software Engineer, Messaging Infrastructure

Posted about 11 hours ago

📍 United States

🧭 Full-Time

💸 206700.0 - 289400.0 USD per year

🔍 Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

7+ years of experience developing internet-scale software, preferably in the context of infrastructure.
Experience with asynchronous communication patterns and solutions, bonus if familiar with Kafka specifically or experience building large-scale infrastructure.
Experience developing on top of Kubernetes or similar distributed systems.
Kubernetes controller or operator development experience is a huge plus.
Strong troubleshooting capabilities surrounding both systems and software.
Experience engineering large systems, tracking work, and being a self-starter on projects.
Excellent communication skills to collaborate with a service-oriented team and company.
Experience navigating cross-functional migrations
Experience mentoring other engineers.

💡 Responsibilities

Work collaboratively with a team of software engineers to create and maintain the foundational platform for running Reddit’s infrastructure.
Deliver software to improve the availability, scalability, latency, and efficiency of Kafka and other messaging components.
Contribute feedback to the technical and strategic direction of eventing at Reddit.
Automate critical aspects of the event driven development process
Share on-call responsibilities.

Backend Development Software Development Cloud Computing Git Kafka Kubernetes Software Architecture Apache Kafka REST API CI/CD Mentoring Linux DevOps Microservices Troubleshooting Software Engineering

Posted about 11 hours ago

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🔥 Software Engineer, Financial Platform - Customer Identity

Posted about 13 hours ago

📍 United States, Australia

🧭 Full-Time

🔍 Software Development

🏢 Company: Block👥 1001-5000 Electronics Manufacturing

🔧 Requirements

5+ years of software development or equivalent hands-on experience
A growth mindset, with a passion for learning new technologies and solving complex problems
Strong debugging and problem-solving skills, with the ability to untangle distributed systems
A proactive, solution-oriented approach, thriving in an evolving technical landscape
Familiarity with high-scale production systems, with an understanding of resilience, security, and maintainability

💡 Responsibilities

Design, build, and maintain secure, scalable systems that power financial transactions on Cash App
Solve complex technical challenges with creativity and precision in a fast-paced environment
Drive architectural decisions, technical strategy, and deep integrations across Financial Platform and Block
Take ownership of production systems, ensuring reliability through monitoring, troubleshooting, and continuous improvement
Drive outcomes with support when needed, balancing autonomy with collaboration
Mentor engineers and elevate engineering standards through code reviews, documentation, and knowledge sharing
Work closely with the team to explore solutions, delivering impact with a thoughtful balance of speed and quality

AWS Backend Development SQL Java Kafka Kotlin Kubernetes Software Architecture Financial Management Algorithms Data Structures Problem Solving RESTful APIs Microservices Financial analysis Software Engineering Data management Debugging

Posted about 13 hours ago

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🔥 Staff Software Engineer

Posted about 15 hours ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: VERSES👥 101-250💰 $13,960,689 Post-IPO Equity 2 months agoArtificial Intelligence (AI)Internet of Things Intelligent Systems Machine Learning Software

🔧 Requirements

At least 10 years of experience in software engineering, with a focus on developing solutions for, and supporting, enterprise-scale applications.
Proficiency in at least one “server-side” programming language, such as Python, Rust, or Node.js
Experience with cloud technologies (AWS, Azure, GCP), containerization (Docker, Kubernetes), and databases (MySQL, PostgreSQL, MongoDB) Experience with pub sub technologies such as RabbitMQ, Kafka, and Reddis.
Strong understanding of web technologies and standards, such as REST/CRUD, HTTP, DNS and web security
Experience with DevOps and security practices
Experience with API design and development
Experience working with IoT and edge computing technologies
Experience with agile software development methodologies
Understanding of core machine learning and AI concepts, including generative models (like GPTs), and an awareness of emerging paradigms such as active inference

💡 Responsibilities

Migrating research concepts and ideologies (ie Active Inference) into production software
Evolve our agentic platform promoting scalability and maintainability furthering the state of the art
Rapidly prototype systems for live demonstration, applying cutting-edge technologies to connect the physical and digital worlds
Work closely with partners to develop and implement solutions as they onboard to the Genius Platform, ensuring a seamless integration and adoption process.
Collaborate with cross-functional teams, including researchers, designers, and other engineers, to define software requirements and guarantee successful implementation.
Lead technical discussions, offer mentorship, and ensure adherence to coding standards and best practices through active participation in code reviews.
Develop technical documentation and participate in knowledge sharing sessions

AWS Backend Development Docker Node.js PostgreSQL Python Agile Artificial Intelligence Cloud Computing GCP IoT Kafka Kubernetes Machine Learning MongoDB MySQL Rabbitmq API testing Azure REST API Redis Rust DevOps Microservices Software Engineering

Posted about 15 hours ago

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🔥 Backend Engineers (Python)

Posted 1 day ago

📍 Finland, Tallinn, Berlin, Stockholm

🧭 Full-Time

🔍 Software Development

🏢 Company: Wolt - English

🔧 Requirements

Experience with building high-load and large-scale systems in Python
Previous experience in handling the whole development cycle all the way to production

💡 Responsibilities

Develop production-level microservices in Python
Handle the whole development process (business logic, testing, database & data streaming, CI/CD, analytics, cloud) in an autonomous manner

AWS Backend Development Docker PostgreSQL Python SQL Git Kafka Kubernetes MongoDB FastAPI Redis CI/CD Agile methodologies RESTful APIs Microservices Software Engineering

Posted 1 day ago

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🔥 Senior Data Engineer - (Remote - US)

Posted 1 day ago

📍 United States

💸 135000.0 - 155000.0 USD per year

🔍 Software Development

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

🔧 Requirements

8+ years of experience as a data engineer, with a strong background in data lake systems and cloud technologies.
4+ years of hands-on experience with AWS technologies, including S3, Redshift, EMR, Kafka, and Spark.
Proficient in Python or Node.js for developing data pipelines and creating ETLs.
Strong experience with data integration and frameworks like Informatica and Python/Scala.
Expertise in creating and managing AWS services (EC2, S3, Lambda, etc.) in a production environment.
Solid understanding of Agile methodologies and software development practices.
Strong analytical and communication skills, with the ability to influence both IT and business teams.

💡 Responsibilities

Design and develop scalable data pipelines that integrate enterprise systems and third-party data sources.
Build and maintain data infrastructure to ensure speed, accuracy, and uptime.
Collaborate with data science teams to build feature engineering pipelines and support machine learning initiatives.
Work with AWS cloud technologies like S3, Redshift, and Spark to create a world-class data mesh environment.
Ensure proper data governance and implement data quality checks and lineage at every stage of the pipeline.
Develop and maintain ETL processes using AWS Glue, Lambda, and other AWS services.
Integrate third-party data sources and APIs into the data ecosystem.

AWS Node.js Python SQL ETL Kafka Data engineering Spark Agile methodologies Scala Data modeling Data management

Posted 1 day ago

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🔥 Lead Site Reliability Engineer

Posted 1 day ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Proven technical experience with AWS cloud services, Kubernetes, and software engineering.
Deep knowledge of Kubernetes and its ecosystem
Solid knowledge of observability systems
Experience with operator-managed Infrastructure as Code, preferably crossplane or Kubernetes Operators.
Ability to write software for production environments.
Excellent analytical and problem-solving skills, and proven experience in identifying solutions for complex problems.
Collaboration and learning-driven mindset;
CNCF Kubernetes Certifications (e.g. CKA, CKS, or CKAD);
AWS Certifications.

💡 Responsibilities

Help to build a global, secure, scalable, and cost-effective Cloud platform using Kubernetes in AWS.
Develop and evolve Kubernetes operators and other cloud-native automation in Kubernetes.
Build products and tools enabling engineering teams to create and maintain their cloud resources autonomously.
Help to ensure security and compliance by delivering secure products and implementing DevSecOps integrations.
Improve observability, reliability, and cost awareness.
Support engineering teams in the products and tools usage.
Build and maintain a modern CI/CD set of tools and services.
Keep all the Kubernetes clusters highly available and reliable.
Contribute to our product documentation (e.g. user guide, configurations, operations, and troubleshooting procedures)
Participate in the definition of standards, RFCs (Request for Comments), guidelines and best practices.
Live the mission: inspire and empower others by genuinely caring for your own well-being and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

AWS Docker Cloud Computing Git Kafka Kubernetes Go Grafana Prometheus REST API CI/CD Terraform Microservices Ansible Software Engineering

Posted 1 day ago

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🔥 Future Opportunity - Senior Data Engineers Apply Here!

Posted 1 day ago

📍 United States, Latin America, India

🔍 Software Development

🔧 Requirements

At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
Programming expertise in Java, Python and/or Scala
Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
SQL and the ability to write, debug, and optimize SQL queries
Client-facing written and verbal communication skills and experience
4-year Bachelor's degree in Computer Science or a related field

💡 Responsibilities

Develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
Create and deliver detailed presentations
Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWS Python SQL Cloud Computing Data Analysis ETL GCP Java Kafka Snowflake Airflow Azure Data engineering Spark Communication Skills Scala Data modeling Software Engineering

Posted 1 day ago

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