Back-End Go Engineer (Cloud Compliance & Data Pipelines)

Spectraforce Technologies

Richmond (VA)

Hybrid

USD 96,432 - 151,536

Full time

14 days+

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Job summary

Spectraforce Technologies is seeking a Back-End Go Engineer for a 6‑month contract in the Richmond, VA area, with a hybrid work model (Richmond or McLean, three days onsite). You’ll build and extend a large-scale data pipeline platform to monitor cloud compliance across thousands of AWS accounts.

The role focuses on Go development, serverless architectures, and data orchestration, with 4–6 years of backend experience expected.

Qualifications

  • 4–6 years of backend engineering experience, with strong Go development.
  • Experience building serverless data pipelines at scale on AWS.
  • Familiarity with relational databases (Postgres) and data warehouses (Snowflake).

Responsibilities

  • Design, develop, and maintain serverless data pipelines using AWS Lambda and Step Functions.
  • Scale and optimize a big data platform processing millions of findings daily.
  • Integrate compliance pipelines with Client workloads and ensure reliable data flows.
  • Interface backend apps with Postgres and Snowflake databases.
  • Collaborate in a 7‑person team and track work in JIRA.

Skills

Go (Golang)
AWS Serverless
Big data platforms
PostgreSQL / Snowflake

Education

Bachelor's degree preferred

Tools

AWS Lambda
AWS Step Functions
CloudFormation
Docker

Job description

Title: Back-End Go Engineer (Cloud Compliance & Data Pipelines)

Duration: 6 months (with possible extension)

Location: Richmond, VA / McLean, VA (3 days a week hybrid)

Role Overview

We are seeking a skilled Back‑End Engineer with strong Go (Golang) development experience to join our Cloud Identity and Access Management (IAM) team. In this role, you will help build and expand a large-scale big data platform responsible for monitoring cloud compliance and security controls across thousands of AWS accounts for the Client.

This is a pure back‑end position focused on functional programming, serverless infrastructure, and data pipeline orchestration at a massive scale – processing millions of compliance findings per day. You will work within a collaborative 7‑person team under the direct guidance of the Hiring Manager.

Primary Technical Focus: Golang + AWS Serverless (Lambdas & Step Functions)

Experience Level: 4 to 6 years of core engineering experience (open to 8+ years for the right technical fit)

Front‑End Work: None (0% Front-End)

Interview Process: A single‑round interview focusing purely on technical questions (no live code‑pairing).

Key Responsibilities
  • Build Serverless Pipelines: Design, develop, and maintain robust data pipelines and orchestration flows utilizing AWS Step Functions and AWS Lambda.
  • Scale & Optimize: Manage and scale a big data platform that executes monitoring controls across 3,000+ AWS accounts, efficiently handling multiple millions of findings and compliance data points daily.
  • Integrate Systems: Focus heavily on expanding and optimizing existing compliance pipelines to successfully integrate and support Client's workloads.
  • Database Management: Interface backend applications smoothly with Postgres and Snowflake database environments.
  • Agile Collaboration: Actively participate in daily team operations, picking up and executing backend development tasks managed and assigned directly through JIRA.
Required Skills & Qualifications
  • Core Language Proficiency: Strong, production‑level development experience using Go (Golang) as a primary programming language.
  • AWS Serverless Expertise: Hands‑on experience building functional programming pipelines using AWS Lambda and AWS Step Functions for orchestration.
  • Scale Experience: Proven background working within big data or large‑scale cloud environments.
  • Database Experience: Familiarity working with relational databases (Postgres) and data warehouses (Snowflake).
  • Education & Experience: Ideally looking for 4-6 years of experience in back‑end/full‑stack engineering.
  • Flexible Education Requirement: A Bachelor's degree is preferred, but not required if the candidate brings 8+ years of strong, relevant technical experience.
Preferred Skills & Nice‑to‑Haves
  • Domain Knowledge: Prior experience or familiarity with the AWS IAM (Identity and Access Management) domain and cloud compliance controls.
  • Infrastructure as Code & Tools: Familiarity with CloudFormation and Docker containers (Note: This is an engineering role, not a dedicated DevOps position).

Certifications: An AWS Certified Solutions Architect (Associate) or AWS Certified Developer (Associate) is nice to have but will not exclude experienced candidates.

Industry Experience: Prior experience in large‑scale financial services environments is a plus.

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