Hired Careers 2026 – Software Engineer Human Data Platforms Remote Jobs
If you are looking for remote software engineer jobs, data platform engineering jobs, backend developer roles, or high-paying remote technology careers, this opportunity may be a strong fit. The selected engineer will design, develop, and maintain data platforms that process and analyze large volumes of human-generated data.
The position requires strong backend programming skills, experience with distributed systems, cloud platforms, databases, containerization, orchestration, monitoring, data governance, and system scalability.
⚡ Quick Facts
Hired
Software Engineer – Human Data Platforms
Remote – Work From Anywhere
Full-Time
$140K–$220K Per Year
Software, Data Infrastructure & Analytics
Job Overview
| Category | Details |
|---|---|
| Company | Hired |
| Position | Software Engineer – Human Data Platforms |
| Location | Remote – Work From Anywhere |
| Employment Type | Full-Time |
| Annual Payout | $140,000–$220,000 Per Year |
| Primary Focus | Data Platforms, Backend Engineering, Distributed Systems and Cloud Infrastructure |
| Work Arrangement | Remote / Distributed Team |
| Apply Link | Apply Online |
About Hired
Hired connects skilled professionals with employers and clients seeking specialized technical talent. The platform supports hiring across software engineering, data infrastructure, cloud computing, artificial intelligence, analytics, and other technology-focused fields.
This opportunity is being offered for one of Hired’s clients operating in the software development, technology, data infrastructure, and analytics sectors.
About the Human Data Platforms Role
The Software Engineer – Human Data Platforms will design and maintain scalable systems that process and analyze human-generated datasets. These platforms must support large-scale workloads while maintaining performance, reliability, data integrity, accessibility, security, and compliance.
The engineer will work closely with data scientists, analysts, backend engineers, infrastructure specialists, and other technical stakeholders. The role includes both real-time and batch data processing, platform monitoring, architectural planning, troubleshooting, and continuous system improvement.
Key Responsibilities
- Design, build, and optimize scalable data pipelines for human-generated datasets.
- Develop backend services that support batch and real-time data processing.
- Maintain reliable, secure, and high-performance data infrastructure.
- Collaborate with data scientists and analysts to improve data integrity and accessibility.
- Implement monitoring, logging, and alerting systems.
- Identify platform performance issues and resolve technical bottlenecks.
- Contribute to architectural decisions for scalability and reliability.
- Optimize storage, retrieval, and processing of large datasets.
- Support secure data access and governance standards.
- Improve system fault tolerance and operational reliability.
- Debug complex backend, infrastructure, and distributed-system issues.
- Document technical systems, workflows, and architectural decisions.
Required Programming Skills
- Strong proficiency in Python, Java, or Go.
- Experience developing backend services and APIs.
- Ability to write scalable, reliable, and maintainable code.
- Experience debugging complex production systems.
- Understanding of software engineering best practices.
- Knowledge of system design and software architecture.
Distributed Systems and Data Technologies
- Experience with Apache Kafka, Apache Spark, or similar technologies.
- Understanding of distributed data processing.
- Experience with real-time event streams.
- Experience with batch data-processing workloads.
- Knowledge of fault tolerance, partitioning, replication, and scalability.
- Ability to optimize data pipelines for performance and reliability.
Cloud and Infrastructure Skills
- Experience with Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
- Knowledge of cloud-based data infrastructure.
- Experience deploying and managing scalable services.
- Understanding of cloud security and access controls.
- Experience with monitoring and infrastructure observability.
- Familiarity with cloud storage, compute, networking, and managed database services.
Database Experience
- Experience with SQL databases.
- Experience with NoSQL databases.
- Understanding of data modelling and schema design.
- Ability to optimize queries and database performance.
- Knowledge of indexing, partitioning, replication, and data retrieval strategies.
- Experience managing structured and unstructured data.
Containerization and Orchestration
- Experience using Docker for containerized applications.
- Experience with Kubernetes or similar orchestration platforms.
- Ability to deploy and manage distributed services.
- Understanding of service scaling, health checks, and fault recovery.
- Experience with container monitoring and troubleshooting.
Data Governance, Security and Compliance
- Understanding of data governance best practices.
- Knowledge of access controls and secure data handling.
- Experience protecting sensitive datasets.
- Awareness of privacy and compliance requirements.
- Understanding of audit logging and accountability.
- Ability to support secure platform architecture.
Preferred Candidate Profile
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Ability to debug complex systems.
- Comfortable working in a distributed remote team.
- Strong written and verbal communication skills.
- Ability to collaborate with technical and non-technical stakeholders.
- Proactive approach to reliability, performance, and security.
- Ability to make sound architectural decisions.
- Comfortable handling several technical priorities.
Salary and Compensation
The listed annual payout for this position is between $140,000 and $220,000 per year. Final compensation may depend on technical experience, backend expertise, cloud and distributed systems knowledge, interview performance, location, contract terms, and the client’s compensation structure.
Candidates should confirm the currency, payment schedule, tax responsibilities, employment classification, benefits, leave policy, working hours, and other contractual conditions during the official recruitment process.
Why Consider This Opportunity?
- Work remotely from anywhere.
- Earn a competitive annual payout.
- Work on large-scale data infrastructure.
- Contribute to systems supporting important business decisions.
- Solve complex backend and distributed-system challenges.
- Collaborate with global engineers, analysts, and data scientists.
- Develop experience in cloud architecture and data platforms.
- Work with modern tools such as Kafka, Spark, Docker, and Kubernetes.
- Build high-impact systems used in real-world operations.
Remote Work Environment
This is a fully remote position that allows qualified candidates to work from anywhere. The successful applicant should be comfortable collaborating through online communication tools, participating in distributed engineering workflows, documenting technical work, and managing responsibilities independently.
Applicants should have a reliable internet connection, a professional remote workspace, suitable development equipment, and availability that aligns with the client’s team and project requirements.
How to Apply
Interested candidates can apply through the official online application page. Before submitting your application, prepare a technical resume that clearly highlights backend engineering, data infrastructure, cloud computing, distributed systems, databases, Docker, Kubernetes, and scalable pipeline experience.
- Update your resume with relevant software engineering experience.
- Highlight Python, Java, or Go expertise.
- Mention Kafka, Spark, or other distributed systems experience.
- Add AWS, GCP, or Azure projects.
- Describe large-scale data pipelines you have designed or maintained.
- Include Docker and Kubernetes experience.
- Provide measurable examples of system performance, reliability, or scalability improvements.
- Submit your application through the official link below.
Click below to apply for the Software Engineer – Human Data Platforms opportunity.
🚀 Apply NowResume Tips
- Use “Software Engineer – Data Platforms” in your resume headline.
- Highlight backend development in Python, Java, or Go.
- Mention the scale of datasets or traffic handled by your systems.
- Add measurable improvements such as latency reduction or throughput growth.
- Include cloud platforms and services you have used.
- Highlight Kafka, Spark, SQL, NoSQL, Docker, and Kubernetes.
- Describe monitoring, logging, alerting, and observability work.
- Mention security, governance, or compliance experience.
- Keep technical achievements specific and measurable.
Interview Tips
- Prepare to explain a scalable data pipeline you designed.
- Review distributed systems fundamentals.
- Practice system design questions related to data infrastructure.
- Be ready to discuss Kafka partitions, Spark workloads, and data processing models.
- Prepare examples of cloud infrastructure you deployed or managed.
- Review database indexing, partitioning, and performance optimization.
- Be ready to explain Docker and Kubernetes architecture.
- Prepare examples of resolving complex production incidents.
- Discuss how you monitor reliability, security, and data quality.
Frequently Asked Questions
The job title is Software Engineer – Human Data Platforms.
Hired is recruiting for one of its clients.
Yes. This is a fully remote, work-from-anywhere position.
The listed annual payout is $140,000 to $220,000.
Candidates should be proficient in Python, Java, or Go.
Experience with Kafka, Spark, or similar distributed data-processing technologies is required.
Yes. Applicants should have experience with AWS, Google Cloud Platform, or Microsoft Azure.
Experience with containerization and orchestration tools such as Docker and Kubernetes is required.
The job is listed as remote and work from anywhere, so qualified applicants from Pakistan may apply, subject to the employer’s eligibility requirements.
You can apply through the official application link provided above.
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