Software Dev Engineer

Kforce Inc

Western Australia

On-site

AUD 243,000 - 300,000

Full time

12 days ago

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Job summary

Kforce Inc. seeks a Software Development Engineer IV for an enterprise client in Redmond, WA. You will design, build, and operate batch and streaming data pipelines ingesting telemetry and manufacturing data.

Responsibilities include building AWS infrastructure as code, optimizing databases, developing backend services and APIs, and ensuring reliability in a mission-critical environment.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related technical field.
  • 10+ years of professional software development experience in production environments.
  • 5+ years building and operating production data pipelines, both batch and streaming.
  • Fluent in Python and Java, with production code written in each.
  • Strong understanding of software design patterns, data structures, and algorithms.
  • Experience with version control systems and CI/CD pipelines.
  • Knowledge of distributed systems and cloud computing platforms.
  • Understanding of IAM and least-privilege access patterns.
  • Experience with Docker and AWS.
  • Experience designing ETL/ELT processes, including incremental loads, backfills, and late/out-of-order data.
  • Experience with Spark or Flink for distributed batch/stream processing.
  • Experience running pipelines in production: monitoring, data quality checks, and recovery.
  • Hands-on experience with AWS storage, compute, and data processing services.
  • Experience defining and deploying cloud infrastructure as code.
  • Proficiency with SQL; NoSQL useful.
  • Experience with data modeling, schema design, and data warehousing concepts.

Responsibilities

  • Design, build, and operate batch and streaming data pipelines ingesting telemetry and manufacturing data.
  • Build and maintain AWS infrastructure behind pipelines, deployed as code.
  • Optimize high-performance databases to handle massive telemetry and operational data.
  • Develop backend services and APIs to serve data to internal users and tools.
  • Handle day-to-day data operations: backfills, data checks, and publishing datasets.
  • Monitor pipeline health and data quality; troubleshoot production issues.
  • Collaborate with hardware engineers, network architects, and scientists.
  • Ensure system reliability, scalability, and performance in a mission-critical environment.

Skills

Python
Java
Distributed systems
CI/CD pipelines
AWS
Docker
SQL
NoSQL databases
ETL/ELT
Data pipelines
Batch processing
Streaming processing

Education

Bachelor's degree in Computer Science, Engineering, or related technical field

Tools

Apache Spark
Apache Flink
CI/CD tools
Git
AWS infrastructure as code

Job description

Responsibilities

Kforce has an enterprise client seeking a Software Dev Engineer IV in Redmond, WA. Responsibilities:

  • Design, build, and operate batch and streaming data pipelines that ingest, transform, and serve manufacturing and on-orbit telemetry
  • Build and maintain the AWS infrastructure behind those pipelines, deployed as code
  • Build and optimize high-performance databases to handle massive volumes of telemetry and
  • perational data
  • Develop the backend services and APIs that serve this data to internal users and tools
  • Handle day-to-day data operations: backfills, incoming data checks, and publishing the datasets other teams rely on
  • Monitor pipeline health and data quality, and troubleshoot production issues
  • Collaborate with cross-functional teams including hardware engineers, network architects, and scientists
  • Ensure system reliability, scalability, and performance in a mission-critical environment
Responsibilities

Kforce has an enterprise client seeking a Software Dev Engineer IV in Redmond, WA. Responsibilities:

  • Design, build, and operate batch and streaming data pipelines that ingest, transform, and serve manufacturing and on-orbit telemetry
  • Build and maintain the AWS infrastructure behind those pipelines, deployed as code
  • Build and optimize high-performance databases to handle massive volumes of telemetry and
  • perational data
  • Develop the backend services and APIs that serve this data to internal users and tools
  • Handle day-to-day data operations: backfills, incoming data checks, and publishing the datasets other teams rely on
  • Monitor pipeline health and data quality, and troubleshoot production issues
  • Collaborate with cross-functional teams including hardware engineers, network architects, and scientists
  • Ensure system reliability, scalability, and performance in a mission-critical environment
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 10+ years of professional software development experience in production environments
  • 5+ years of hands-on experience building and operating production data pipelines, both batch and streaming
  • Must be fluent in both Python and Java, with production code written in each
  • Strong understanding of software design patterns, data structures, and algorithms
  • Must have experience with version control systems and CI/CD pipelines
  • Knowledge of distributed systems and cloud computing platforms
  • Understanding of IAM and least-privilege access patterns
  • Experience with Docker
  • Experience designing ETL/ELT processes, including incremental loads, backfills, and late or out-of-order data
  • Experience with distributed batch and stream processing frameworks, such as Apache Spark or Apache Flink
  • Experience running pipelines in production: monitoring and alarming, data quality checks, and recovering from failed runs
  • Enough engineering judgment to notice when telemetry looks wrong rather than passing it through
  • Hands‑on experience with AWS storage, compute, and data processing services
  • Experience defining and deploying cloud infrastructure as code
  • Proficiency with SQL at depth. Familiarity with NoSQL databases is useful
  • Experience with database performance optimization, indexing strategies, and query tuning on large datasets
  • Knowledge of data modeling, schema design, and database migration strategies
  • Experience with data warehousing concepts, such as partitioning and columnar storage
Preferred
  • Experience with columnar analytical databases
  • Experience with high-volume time-series or telemetry data
  • Experience with TypeScript and React
  • Knowledge of network protocols and telecommunications systems

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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