Apache Kafka Job Salaries

Find salary information for remote positions requiring Apache Kafka skills. Make data-driven decisions about your career path.

Apache Kafka

Median high-range salary for jobs requiring Apache Kafka:

$178,000

This analysis is based on salary ranges collected from 17 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $150,000 - $178,000

25% of job descriptions advertised a maximum salary above $217,500.
5% of job descriptions advertised a maximum salary above $361,798.5.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Cloud Computing, Data engineering and Kubernetes. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Cloud Computing
41% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $152,500 - $205,000
- 25% of job descriptions advertised a maximum salary above $222,500.
- 5% of job descriptions advertised a maximum salary above $235,900.
Data engineering
47% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $152,500 - $191,500
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $235,900.
Kubernetes
71% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $152,500 - $184,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $409,131.
AWS
76% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $150,000 - $178,000
- 25% of job descriptions advertised a maximum salary above $217,500.
- 5% of job descriptions advertised a maximum salary above $234,265.
SQL
71% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $150,000 - $178,000
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $233,810.
Docker
65% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $152,500 - $178,000
- 25% of job descriptions advertised a maximum salary above $212,500.
- 5% of job descriptions advertised a maximum salary above $419,360.5.
CI/CD
59% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $151,250 - $178,000
- 25% of job descriptions advertised a maximum salary above $225,000.
- 5% of job descriptions advertised a maximum salary above $235,900.
Communication Skills
41% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $145,000 - $178,000
- 25% of job descriptions advertised a maximum salary above $198,250.
- 5% of job descriptions advertised a maximum salary above $235,900.
Python
71% jobs mention Python as a required skill. The Median Salary Range for these jobs is $147,500 - $176,500
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $233,810.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Data/AI, Telecom and Media & Entertainment. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Data/AI
6% jobs are in Data/AI industry. The Median Salary Range for these jobs is $123,000 - $235,900
Telecom
6% jobs are in Telecom industry. The Median Salary Range for these jobs is $200,000 - $225,000
Media & Entertainment
6% jobs are in Media & Entertainment industry. The Median Salary Range for these jobs is $185,000 - $215,000
Software Development
35% jobs are in Software Development industry. The Median Salary Range for these jobs is $163,750 - $191,500
- 25% of job descriptions advertised a maximum salary above $225,000.
- 5% of job descriptions advertised a maximum salary above $429,590.
Sports gaming
6% jobs are in Sports gaming industry. The Median Salary Range for these jobs is $150,000 - $190,000
Data Engineering
6% jobs are in Data Engineering industry. The Median Salary Range for these jobs is $126,100 - $168,150
EdTech
6% jobs are in EdTech industry. The Median Salary Range for these jobs is $145,000 - $155,000
Policy & Ratings Department
6% jobs are in Policy & Ratings Department industry. The Median Salary Range for these jobs is $120,000 - $150,000
Healthcare
6% jobs are in Healthcare industry. The Median Salary Range for these jobs is $115,000 - $130,000
GameTech
6% jobs are in GameTech industry. The Median Salary Range for these jobs is $100,000 - $120,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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

22 jobs found.

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

Apply

🔥 Staff Technical Enablement Specialist

Posted about 11 hours ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🏢 Company: Databricks👥 1001-5000💰 $684,559,082 Series I over 1 year agoArtificial Intelligence (AI)Machine Learning Analytics Information Technology

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers (Preferred)
Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies (Preferred)

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWS Project Management Python SQL Cloud Computing Data Analysis ETL GCP Machine Learning MLFlow Apache Kafka Azure Data engineering REST API Communication Skills Collaboration CI/CD Problem Solving Mentoring Presentation skills Training Data visualization Stakeholder management Strategic thinking Data modeling Customer Success

Posted about 11 hours ago

Apply

🔥 Lead, Software Development (Data Technology)

Posted 1 day ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Data Technology

🏢 Company: Hootsuite👥 1001-5000💰 $50,000,000 Debt Financing almost 7 years ago🫂 Last layoff about 2 years agoDigital Marketing Social Media Marketing Social Media Management Apps

🔧 Requirements

A degree in Computer Science or Engineering, and senior-level experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact.
Experience planning and leading a team using Scrum agile methodology ensuring timely delivery and continuous improvement.
Experience liaising with various business stakeholders to understand their data requirements and convey the technical solutions.
Experience with data warehousing and data modeling best practices.
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience developing data pipelines and integrations for high volume, velocity and variety of data.
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, SQL and shell script.
Experience with various types of data stores, query engines and data frameworks, e.g. PostgreSQL, MySQL, S3, Redshift, Presto/Athena, Spark and dbt.
Experience working with message queues such as Kafka and Kinesis
Experience with ETL and pipeline orchestration such as Airflow, AWS Glue
Experience with JIRA in managing sprints and roadmaps

💡 Responsibilities

Lead development and maintenance of scalable and efficient data pipeline architecture
Work within cross-functional teams, including Data Science, Analytics, Software Development, and business units, to deliver data products and services.
Collaborate with business stakeholders and translate requirements into scalable data solutions.
Monitor and communicate project statuses while mitigating risk and resolving issues.
Work closely with the Senior Manager to align team priorities with business objectives.
Assess and prioritize the team's work, appropriately delegating to others and encouraging team ownership.
Proactively share information, actively solicit feedback, and facilitate communication, within teams and other departments.
Design, write, test, and deploy high quality scalable code.
Maintain high standards of security, reliability, scalability, performance, and quality in all delivered projects.
Contribute to shape our technical roadmap as we scale our services and build our next generation data platform.
Build, support and lead a high performance, cohesive team of developers, in close partnership with the Senior Manager, Data Analytics.
Participate in the hiring process, with an aim of attracting and hiring the best developers.
Facilitate ongoing development conversations with your team to support their learning and career growth.

AWS Leadership PostgreSQL Python Software Development SQL Agile Apache Airflow ETL MySQL SCRUM Cross-functional Team Leadership Algorithms Apache Kafka Data engineering Data Structures Spark Communication Skills Analytical Skills CI/CD Problem Solving Mentoring DevOps Written communication Coaching Scala Data visualization Team management Data modeling Data analytics Data management

Posted 1 day ago

Apply

🔥 Software Engineer, Connectors

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 177000.0 - 225000.0 USD per year

🔍 Software Development

🏢 Company: Redpanda Data👥 101-250💰 $100,000,000 Series C over 1 year agoDeveloper Tools Consulting Big Data Hardware Analytics Information Technology Software

🔧 Requirements

Passion for working on deeply technical projects and wanting to work on distributed systems, concurrency & parallelism, and correctness
Strong understanding and experience of Go
Knowledge of AI internals, limitations, and how to use AI suggestions programmatically
Expert knowledge of at least one: AWS, Azure, GCP
An understanding of stream processing
Experience and are comfortable working with a 100% distributed engineering team, collaborating on GitHub, in the open and a self-starter
Comfort working within a small team and 100% distributed engineering org collaborating on GitHub, JIRA, Slack, Confluence and video meetings
Excellent communication and interpersonal skills, capable of engaging with stakeholders at all levels of the organization

💡 Responsibilities

Contribute to our Connect open source repo
Contribute to a Kubernetes helm chart to manage Redpanda Connect in a zero-downtime fashion
Design new AI solutions to evolve how end-users work with streaming data
Participate in an on-call escalation chain, help drive down problems that lead to on-call escalations, and help drive improving on-call quality of life
Work with all engineering teams for deploying services across all of our supported clouds
Make resilience and observability integral to the system, enabling us to run a managed, cloud-based streaming-as-a-service with >99.9% uptime
Build & design Redpanda’s connect-in-the-cloud infrastructure with reliability and performance in mind

AWS Cloud Computing GCP Kubernetes Apache Kafka Azure Go REST API CI/CD Microservices Software Engineering

Posted 4 days ago

Apply

🔥 Lead Data Engineer

Posted 5 days ago

📍 United States

🧭 Full-Time

💸 152500.0 - 178000.0 USD per year

🔍 Software Development

🔧 Requirements

10+ years of professional software development or data engineering experience (10+ with a STEM B.S. or 8+ with a relevant Master's degree)
Strong proficiency in Python and familiarity with Java and Bash scripting
Hands-on experience implementing database technologies, messaging systems, and stream computing software (e.g., PostgreSQL, PostGIS, MongoDB, DuckDB, KsqlDB, RabbitMQ)
Experience with data fabric development using publish-subscribe models (e.g., Apache NiFi, Apache Pulsar, Apache Kafka and Kafka-based data service architecture)
Proficiency with containerization technologies (e.g., Docker, Docker-Compose, RKE2, Kubernetes, and Microk8s)
Experience with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins), and collaborative development workflows
Strong knowledge of data modeling and database optimization techniques
Familiarity with data serialization languages (e.g., JSON, GeoJSON, YAML, XML)
Excellent problem-solving and analytical skills that have been applied to high visibility, important data engineering projects
Strong communication skills and ability to lead the work of other engineers in a collaborative environment
Demonstrated experience in coordinating team activities, setting priorities, and managing tasks to ensure balanced workloads and effective team performance
Experience managing and mentoring development teams in an Agile environment
Ability to make effective architecture decisions and document them clearly
Must be a US Citizen and eligible to obtain and maintain a US Security Clearance

💡 Responsibilities

Develop and continuously improve a data service that underpins cloud-based applications
Support data and database modeling efforts
Contribute to the development and maintenance of reusable component libraries and shared codebase
Participate in the entire software development lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process
Collaborate with developers, designers, testers, project managers, product owners, and project sponsors to integrate the data service to end user applications
Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools
Ensure seamless integration between database and messaging systems and the frontend / UI they support
Ensure data quality, reliability, and performance through code reviews and effective testing strategies
Write high-quality code, applying best practices, coding standards, and design patterns
Team with other developers, fostering a culture of continuous learning and professional growth

AWS Docker Leadership PostgreSQL Python Software Development SQL Agile Bash Cloud Computing Git Java Jenkins Kubernetes MongoDB Rabbitmq Apache Kafka Data engineering Communication Skills CI/CD Problem Solving RESTful APIs Mentoring Terraform Microservices JSON Data visualization Team management Ansible Data modeling Software Engineering Data analytics Data management

Posted 5 days ago

Apply

🔥 Sr. Data Engineer

Posted 7 days ago

📍 United States

🧭 Full-Time

💸 126100.0 - 168150.0 USD per year

🔍 Data Engineering

🏢 Company: firstamericancareers

🔧 Requirements

5+ years of development experience with any of the following software languages: Python or Scala, and SQL (we use SQL & Python) with cloud experience (Azure preferred or AWS).
Hands-on data security and cloud security methodologies. Experience in configuration and management of data security to meet compliance and CISO security requirements.
Experience creating and maintaining data intensive distributed solutions (especially involving data warehouse, data lake, data analytics) in a cloud environment.
Hands-on experience in modern Data Analytics architectures encompassing data warehouse, data lake etc. designed and engineered in a cloud environment.
Proven professional working experience in Event Streaming Platforms and data pipeline orchestration tools like Apache Kafka, Fivetran, Apache Airflow, or similar tools
Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift.
Experience developing in a containerized local environment like Docker, Rancher, or Kubernetes preferred
Data Modeling

💡 Responsibilities

Build high-performing cloud data solutions to meet our analytical and BI reporting needs.
Design, implement, test, deploy, and maintain distributed, stable, secure, and scalable data intensive engineering solutions and pipelines in support of data and analytics projects on the cloud, including integrating new sources of data into our central data warehouse, and moving data out to applications and other destinations.
Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, etc.
Build and enhance a shared data lake that powers decision-making and model building.
Partner with teams across the business to understand their needs and develop end-to-end data solutions.
Collaborate with analysts and data scientists to perform exploratory analysis and troubleshoot issues.
Manage and model data using visualization tools to provide the company with a collaborative data analytics platform.
Build tools and processes to help make the correct data accessible to the right people.
Participate in active rotational support role for production during or after business hours supporting business continuity.
Engage in collaboration and decision making with other engineers.
Design schema and data pipelines to extract, transform, and load (ETL) data from various sources into the data warehouse or data lake.
Create, maintain, and optimize database structures to efficiently store and retrieve large volumes of data.
Evaluate data trends and model simple to complex data solutions that meet day-to-day business demand and plan for future business and technological growth.
Implement data cleansing processes and oversee data quality to maintain accuracy.
Function as a key member of the team to drive development, delivery, and continuous improvement of the cloud-based enterprise data warehouse architecture.

AWS Docker Python SQL Agile Apache Airflow Cloud Computing ETL Hadoop Kubernetes Snowflake Apache Kafka Azure Data engineering Spark Scala Data visualization Data modeling Data analytics

Posted 7 days ago

Apply

🔥 Engineering Team Lead - Data

Posted 8 days ago

📍 United States

💸 145000.0 - 155000.0 USD per year

🔍 Education Technology

🏢 Company: Echo360 Inc

🔧 Requirements

7+ years of experience in data engineering, 2+ years of experience in a lead role.
Solid understanding of data lake, lakehouse, and warehouse data architectures.
Deep hands-on expertise in AWS cloud architecture and data-related services, patterns, and practices, inclusive of S3, EMR, Glue, Athena, Redshift, QuickSight, Kinesis or equivalent streaming, SQS and other queue/messaging components, Lambda, Step Functions, Airflow or other job management as appropriate.
Strong command of SQL, Python and related Python libraries.
Knowledge of data visualization tools (QuickSight preferred) and advanced analytics techniques.
Proven track record of successfully building and scaling reliable, secure, cost efficient, and performant data and analytics solutions.
Demonstrable experience with designing and implementing data quality processes.
Excellent leadership and communication skills, with the ability to motivate and inspire teams.
Strong analytical and problem-solving skills, with a focus on data-driven decision-making.
Ability to work collaboratively across diverse teams and prioritize effectively in a fast-paced environment.
An understanding of data security and data privacy and related regulatory requirements.
Prior experience working in a global environment with offshore team members.
Prior experience in education technology product development and learning analytics is strongly preferred.
Recent, relevant experience with Machine Learning and Generative AI as they apply to data analytics uses cases for discovery, analysis, and predictive use cases is strongly preferred.
Bachelor’s degree in computer science or related engineering/technical discipline

💡 Responsibilities

Provide technical and people leadership and direction for the data team, setting goals, defining technical approaches, architecture, planning and executing work following Agile practices to consistently deliver on commitments.
Partner closely with product management, application, SRE, and security teams to build consensus on needed capabilities, designs, APIs, infrastructure, and ensure security and privacy of data.
Oversee the architecture and implementation of data pipelines, structured and unstructured storage, data transformation, data warehouses, analytics solution, and data APIs.
Ensure the delivery of high-quality, timely, and accurate data solutions.
Drive the adoption of best practices in data quality, and security.
Monitor emerging technologies and trends in data and analytics to recommend and implement innovative solutions.
Manage project timelines, budgets, and resources to meet internal and customer commitments.
Build and maintain strong relationships with internal stakeholders, external vendors, and customers.
Recruit, develop, and retain strong talent for the data team, inclusive of employees and off-shore/near-shore partners.

AWS Backend Development Leadership Project Management Python SQL Agile Cloud Computing Data Analysis ETL Machine Learning People Management Airflow Apache Kafka API testing Data engineering Data Structures REST API Serverless Communication Skills CI/CD Microservices Data visualization Team management Strategic thinking Data modeling Data analytics Data management

Posted 8 days ago

Apply

🔥 Senior Staff Engineer, Mechanical Codes and Standards Specialist (Hybrid & Remote - US)

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 150000.0 USD per year

🔍 Policy & Ratings Department

🏢 Company: Energy Solutions - USA

🔧 Requirements

A Bachelor’s degree in engineering (mechanical engineering preferred)
At least 10 years of engineering or work experience in related area
Excellent verbal communication skills, demonstrated ability to write reports, technical papers, and provide technical presentations to knowledgeable audiences
Ability to observe Pacific Time working hours as needed
Willingness to conduct occasional business travel
Ability to work in the US without requiring Energy Solutions to commence or sponsor an immigration case in order to employ you now or in the future.

💡 Responsibilities

Develop and lead both short-term and long-term strategies to optimize energy savings, load management potential, GHG reductions, and transform markets through codes and standards or other energy policy interventions
Analyze the savings, costs, and other impacts of energy efficient and low carbon technologies in the context of energy policy
Oversee product testing and other primary data collection strategies needed to fill data gaps in policy settings
Participate in industry working groups and technical committees in support of voluntary or mandatory standards and test procedure updates
Develop strategic partnerships with industry stakeholders to ensure policy proposals are feasible, equitable, and have ample stakeholder support
Write reports on technical topics, such as Title 24 code change proposal reports, including energy savings analyses, cost-effectiveness analyses, and market impacts analyses
Develop and deliver presentations on technical topics to a variety of audiences, including clients, government agency decision makers, engineers, and other stakeholders
Delegate and oversee more straightforward technical tasks and responsibilities to junior level engineering staff
Represent clients in public meetings, negotiated rulemakings, and in publicly docketed comments

Docker Project Management Python SQL AWS EKS Data Analysis Excel VBA GCP Kubernetes Project Coordination Product Operations Product Development ActiveMQ Airflow Algorithms Amazon Web Services Apache Kafka API testing Azure REST API Strategic Management Communication Skills Analytical Skills Collaboration CI/CD Problem Solving Customer service Agile methodologies Linux DevOps Terraform Presentation skills Written communication Microservices Compliance Interpersonal skills Excellent communication skills Adaptability Teamwork Negotiation skills Troubleshooting JSON Cross-functional collaboration Risk Management Stakeholder management Strategic thinking Research skills Financial analysis Data modeling

Posted 8 days ago

Apply

🔥 Lead Data Engineer

Posted 9 days ago

📍 United States

🧭 Full-Time

💸 152500.0 - 178000.0 USD per year

🔍 Software Development

🏢 Company: Hypergiant👥 101-250💰 Corporate almost 6 years agoArtificial Intelligence (AI)Machine Learning Information Technology Military

🔧 Requirements

10+ years of professional software development or data engineering experience (10+ with a STEM B.S. or 8+ with a relevant Master's degree)
Strong proficiency in Python and familiarity with Java and Bash scripting
Hands-on experience implementing database technologies, messaging systems, and stream computing software (e.g., PostgreSQL, PostGIS, MongoDB, DuckDB, KsqlDB, RabbitMQ)
Experience with data fabric development using publish-subscribe models (e.g., Apache NiFi, Apache Pulsar, Apache Kafka and Kafka-based data service architecture)
Proficiency with containerization technologies (e.g., Docker, Docker-Compose, RKE2, Kubernetes, and Microk8s)
Experience with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins), and collaborative development workflows
Strong knowledge of data modeling and database optimization techniques
Familiarity with data serialization languages (e.g., JSON, GeoJSON, YAML, XML)
Excellent problem-solving and analytical skills that have been applied to high visibility, important data engineering projects
Strong communication skills and ability to lead the work of other engineers in a collaborative environment
Demonstrated experience in coordinating team activities, setting priorities, and managing tasks to ensure balanced workloads and effective team performance
Experience managing and mentoring development teams in an Agile environment
Ability to make effective architecture decisions and document them clearly

💡 Responsibilities

Develop and continuously improve a data service that underpins cloud-based applications
Support data and database modeling efforts
Contribute to the development and maintenance of reusable component libraries and shared codebase
Participate in the entire software development lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process
Collaborate with developers, designers, testers, project managers, product owners, and project sponsors to integrate the data service to end user applications
Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools
Ensure seamless integration between database and messaging systems and the frontend / UI they support
Ensure data quality, reliability, and performance through code reviews and effective testing strategies
Write high-quality code, applying best practices, coding standards, and design patterns
Team with other developers, fostering a culture of continuous learning and professional growth

AWS Docker Leadership PostgreSQL Python Software Development SQL Agile Bash Git Java Jenkins Kubernetes MongoDB Rabbitmq Apache Kafka Data engineering Communication Skills CI/CD Agile methodologies RESTful APIs Terraform JSON Data visualization Ansible Data modeling Data management

Posted 9 days ago

Apply

🔥 Manager, Software Engineering (Infrastructure Platform)

Posted 9 days ago

📍 United Kingdom

🧭 Full-Time

💸 140000.0 - 180000.0 GBP per year

🔍 Software Development

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity about 4 years ago🫂 Last layoff about 2 years agoLending Financial Services Payments FinTech

🔧 Requirements

Proven experience leading teams in platform engineering, infrastructure, or site reliability (SRE).
Deep expertise in reliability engineering, incident response, and operational tooling.
Strong decision-making skills, balancing technical depth with strategic business impact.
Experience defining and executing technical strategies for cloud computing, observability, CI/CD, and developer tooling.
Hands-on technical experience in infrastructure operations, with working knowledge of: Cloud platforms (AWS or equivalent), Kubernetes & container orchestration, Infrastructure as Code (Terraform, Helm, CloudFormation), Monitoring & Observability (Prometheus, Grafana, OpenTelemetry, or similar), CI/CD pipelines, automation, and software delivery best practices

💡 Responsibilities

Lead & Grow the Team: Manage, mentor, and develop engineers in Platform Engineering & SRE, fostering a culture of ownership, reliability, and automation.
Drive Operational Excellence: Improve incident response, on-call processes, and post-mortems to enhance system reliability and availability.
Scale & Automate Infrastructure: Advance self-healing automation, infrastructure as code (IaC), and CI/CD workflows to optimize efficiency and performance.
Enhance Observability & Performance: Improve monitoring, logging, and telemetry to proactively detect and resolve system issues.
Collaborate & Align Strategy: Work with Infrastructure, DevProd, and SRE teams to optimize multi-region deployments, cloud cost efficiency, and service scalability.
Foster Innovation & Inclusion: Promote best practices in reliability engineering, encourage automation-first approaches, and support team growth and internal mobility.

AWS Docker Leadership Python SQL Bash Cloud Computing Kubernetes People Management Cross-functional Team Leadership ActiveMQ Apache Kafka Grafana Prometheus Communication Skills CI/CD Problem Solving Agile methodologies RESTful APIs Mentoring DevOps Terraform Microservices JSON Strategic thinking Ansible

Posted 9 days ago

Apply

🔥 Staff Software Engineer - Alloy and OpenTelemetry Collector - Spain

Posted 18 days ago

📍 Spain

💸 91286.0 - 114109.0 EUR per year

🔍 Software Development

🏢 Company: Grafana Labs👥 501-1000💰 $240,000,000 Series D almost 3 years agoSoftware Development

🔧 Requirements

Passion for observability and like to share your knowledge by writing documentation and blog posts.
Love to engage with customers and help them out.
Excellent communication skills.
Relevant open source experience, ideally in OpenTelemetry or Prometheus.
Willing to become an active member of the OpenTelemetry community.
Good understanding of production environments. Ideally you have been responsible for operating production infrastructure and services, and organizing on-call.

💡 Responsibilities

Working with the Alloy team to deliver new functionality.
Contributing to and reviewing design documents for upcoming features.
Being an active member of the OpenTelemetry collector community. Alloy shares a lot of components with the OpenTelemetry collector project.
Being familiar with the Prometheus ecosystem and making sure that Alloy integrates well with Prometheus components.
Supporting customers and prospects with setting up their observability pipelines.
Working with other teams within Grafana to make sure Alloy works well with the solutions they are building.
Participating in on-call rotations for our deployments.

Backend Development Software Development Kubernetes ActiveMQ Algorithms Apache Kafka Data Structures Go Grafana Prometheus REST API Communication Skills Analytical Skills Collaboration CI/CD Problem Solving Linux DevOps Documentation Microservices Excellent communication skills JSON Data visualization Ansible Scripting Software Engineering Debugging

Posted 18 days ago

Apply

Shown 10 out of 22

Apache Kafka Job Salaries

Median high-range salary for jobs requiring Apache Kafka:

Skills and Salary

Cloud Computing

Data engineering

Kubernetes

AWS

SQL

Docker

CI/CD

Communication Skills

Python

Industries and Salary

Data/AI

Telecom

Media & Entertainment

Software Development

Sports gaming

Data Engineering

EdTech

Policy & Ratings Department

Healthcare

GameTech

Jobs