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Software Reverse Engineer Jobs in Georgia (NOW HIRING)

Aderant

Principal Software Engineer

Atlanta, GA · On-site

$129K - $174K/yr

These are the hardest decisions to reverse once customer data is in production * Own the migration ... professional software engineering experience, including 3+ years at a staff, principal, or ...

Aderant

Principal Software Engineer

Atlanta, GA

$129K - $174K/yr

These are the hardest decisions to reverse once customer data is in production * Own the migration ... professional software engineering experience, including 3+ years at a staff, principal, or ...

Backbase

Senior Account Executive

Atlanta, GA · On-site

The Job in short Backbase is a fast-growing fintech software provider that empowers financial ... Ability to reverse engineer business objectives to reach your goals; Eagerness to figure out tough ...

Backbase

Senior Account Executive

Atlanta, GA · On-site

The Job in short Backbase is a fast-growing fintech software provider that empowers financial ... reverse engineer business objectives to reach your goals; • Eagerness to figure out tough ...

HD Supply

Senior Info Security Engineer

Atlanta, GA

$110K - $151K/yr

Performs advanced analysis and/or reverse engineering of suspect source code and makes the ... Writes scripts and develop software utilities to automate security analysis efforts. * Performs a ...

HD Supply

Senior Info Security Engineer

Atlanta, GA · On-site

$110K - $151K/yr

Performs advanced analysis and/or reverse engineering of suspect source code and makes the ... Writes scripts and develop software utilities to automate security analysis efforts. * Performs a ...

Cyberbit

Account Executive South East

Lavonia, GA · On-site

Cyberbit Range deploys real-world attacks using reverse-engineered malware onto a virtual corporate ... Minimum of 5 years' experience in enterprise software sales. Prior account management experience ...

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Software Reverse Engineer information

See Georgia salary details

$65

$77

$87

How much do software reverse engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for software reverse engineer in Georgia is $77.13, according to ZipRecruiter salary data. Most workers in this role earn between $71.25 and $83.03 per hour, depending on experience, location, and employer.

What is a software reverse engineer?

A Software Reverse Engineer analyzes software to understand its design, functionality, and security vulnerabilities. This role often involves decompiling code, identifying weaknesses, and improving software security. Reverse engineers work in cybersecurity, malware analysis, and software compatibility. They use tools like disassemblers, debuggers, and decompilers to inspect software behavior. This field requires strong programming skills and knowledge of operating systems and architectures.

What does a software reverse engineer do?

As a Software Reverse Engineer, your day often involves analyzing compiled code, identifying program structures, and uncovering hidden functionalities or vulnerabilities within software applications. You may spend significant time using tools like disassemblers and debuggers to inspect binaries, document findings, and collaborate closely with security analysts, developers, or legal teams. Problem-solving and attention to detail are essential, as projects often involve working with both legacy and modern systems. While much of the work is independent, frequent communication with team members is required to share insights and develop effective remediation strategies.

What are the key skills and qualifications needed to thrive as a software reverse engineer?

To thrive as a Software Reverse Engineer, you need strong proficiency in programming languages (such as C/C++ and Assembly), deep understanding of operating systems, and expertise in reverse engineering methodologies—often supported by a degree in computer science or related experience. Familiarity with disassemblers, debuggers, decompilers (like IDA Pro, Ghidra, OllyDbg), and relevant certifications such as OSCP or CEH is highly valued. Analytical thinking, attention to detail, and excellent problem-solving skills set top candidates apart. These abilities are critical for dissecting complex binaries, uncovering vulnerabilities, and ensuring effective collaboration while adhering to legal and ethical guidelines.

What are the most commonly searched types of Software Reverse Engineer jobs in Georgia?

The most popular types of Software Reverse Engineer jobs in Georgia are:

What are popular job titles related to Software Reverse Engineer jobs in Georgia?

For Software Reverse Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Software Reverse Engineer jobs in Georgia look for?

The top searched job categories for Software Reverse Engineer jobs in Georgia are:

What are popular job titles related to Software Reverse Engineer jobs in GA?

For Software Reverse Engineer jobs in GA, the most frequently searched job titles are:

Software Reverse Engineer jobs near you
Infographic showing various Software Reverse Engineer job openings in Georgia as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution, with an average salary of $160,432 per year, or $77.1 per hour.

Principal Software Engineer

Aderant

Atlanta, GA • On-site

$129K - $174K/yr

Full-time

Posted 17 days ago

Job description

Aderant is a global industry leading software company providing comprehensive business management solutions for law firms and other professional services organizations with a mission to help them run a better business. We are motivated by a collective desire to drive the legal industry to the forefront of innovation. With over 2,500 clients around the world, including 95 of the top AmLaw 100 firms, we are changing the outside perception of the legal sphere; where there was once resistance to modernization, we are creating a culture that embraces new ideas and technology.
At Aderant, the "A" is more than just a letter. It is a representation of how we fulfill our foundational purpose, serving our clients. It embodies our core values and reminds us that to achieve success, every day must start with the "A". We bring the "A" to life by fostering a culture of innovation, collaboration, and personal growth. We encourage our diverse teams to bring their whole selves to work - ideas, experience, and passion - to drive our mission forward.
Our people are our strength.
We are seeking a Principal Software Engineer to help build Aderant Talent, the next generation of vi by Aderant. Our talent management suite is used by the world's leading law firms to recruit, evaluate, develop, and allocate their people. This is a greenfield platform on AWS, with a backend of TypeScript/Node and Go services over MongoDB, behind a React front end.
You will set service boundaries, document models, API contracts, and engineering standards while they are still cheap to change. Two things make the work hard. Aderant Talent holds some of the most sensitive data a firm has, including performance evaluations and candidate records, so every design decision has to hold up under that scrutiny. And we are embedding AI directly into evaluation and staffing workflows, which is a real engineering problem rather than an API call. This is an individual contributor role with organization-wide influence: you will not manage people, but your designs and standards will shape how the whole team builds.
Responsibilities
Technical Leadership
  • Own the end-to-end architecture: service decomposition, API strategy, and the platform foundations the product will sit on for years
  • Own the MongoDB data architecture, including document modeling, indexing strategy, schema evolution, and the tenant isolation model. These are the hardest decisions to reverse once customer data is in production
  • Own the migration and coexistence strategy from the current vi products, covering data migration and phased customer transition
  • Set the technical strategy for AI-enabled features: model selection, prompt and context design, output quality evaluation, cost and latency, and the guardrails appropriate to performance and staffing decisions
  • Architect for a deeply configurable product without fragmenting the codebase or making every release a regression risk
  • Define the architecture for data privacy and access control: role-based and record-level permissions, evaluation confidentiality, data residency, and auditability
  • Lead architecture and design reviews, and champion Continuous Delivery and disciplined use of AI-assisted development
Hands-On Engineering
  • Design, build, and ship production TypeScript/Node services, Go services where the platform calls for it, and the React front ends they serve. You will be in the codebase every week
  • Design document schemas and indexes that hold up under real query patterns, and write the aggregation pipelines behind reporting and analytics
  • Build the integration surface that makes the product viable inside a firm: HRIS and payroll systems (Workday and equivalents), matter data, SSO and directory providers, and recruiting feeds
  • Build LLM-backed capabilities such as evaluation drafting assistance, sentiment analysis, and feedback summarization, including the evaluation harnesses that tell us whether quality is improving
  • Design event-driven workflows using SQS, Step Functions, Lambda, and change streams
  • Engineer for the seasonality of talent work: review cycles concentrate enormous load into short windows, and the system has to hold up on the worst week of the firm's year
  • Take part in on-call and incident response for what you design
Collaboration and Mentorship
  • Mentor senior and mid-level engineers through design pairing, code review, and direct coaching
  • Partner with Product Management, UX, and QA from discovery through release
  • Work with DevOps and Platform teams on CI/CD, infrastructure automation, and cloud cost efficiency
  • Translate technical trade-offs into terms executives and non-technical stakeholders can act on
  • Raise the hiring bar by interviewing, assessing, and helping onboard engineers

Required Qualifications
  • 10+ years of professional software engineering experience, including 3+ years at a staff, principal, or equivalent architect level
  • Demonstrated ownership of the architecture of a production SaaS product at scale, including living with those decisions over multiple years
  • Experience taking a new platform from initial design to production, not only extending established ones
  • Experience building software that handles sensitive personal data under real compliance obligations, and operating what you build in production
  • Track record of raising technical quality across teams you did not manage
  • Expert-level proficiency in TypeScript and Node for production services, including async failure modes, a modern server framework (NestJS, Fastify, Express, or similar), and performance under load
  • Deep MongoDB expertise: document modeling, embedding and referencing trade-offs, indexing and query optimization, the aggregation framework, transactions, change streams, and schema migration. Production operations experience including replica sets, sharding, and performance profiling
  • Strong proficiency in modern React, and deep API design experience across REST and gRPC, including versioning and backward compatibility
  • Practical experience building LLM-backed product features: prompt and context engineering, retrieval, structured output, and output evaluation
  • Enterprise integration experience: REST and SOAP APIs, OAuth 2.0, webhooks, and batch and delta sync against systems you do not control
  • Multi-tenant SaaS architecture, including tenant isolation, per-tenant configuration, and zero-downtime deployment
  • Proficiency across the AWS application platform: EKS or ECS/Fargate, Lambda, MongoDB Atlas, S3, EventBridge, SQS, Step Functions, API Gateway, IAM, Secrets Manager, and Bedrock or comparable managed LLM services
  • Infrastructure as code, CI/CD, and Kubernetes at production scale (Terraform, GitHub Actions, GitOps), with strong observability practice
  • Application security fundamentals: authorization models, OWASP risks, data protection, and secure SDLC practices

Preferred Qualifications
  • Experience in HR technology, talent management, or people analytics
  • Experience in legal technology, or another regulated enterprise domain
  • Production experience with Go
  • Experience migrating a relational data model to a document model, or replatforming a legacy on-premises product, and honest views on what that costs
  • Experience with MongoDB Atlas capabilities such as Atlas Search, Vector Search, Queryable Encryption, and Global Clusters for data residency
  • Experience with responsible AI practice in a high-stakes context: bias and fairness evaluation, explainability, and human-in-the-loop design
  • Experience integrating with Workday or comparable enterprise HRIS platforms
  • Working knowledge of GDPR, SOC 2, and international data residency requirements
  • Computer Science or Engineering degree, or equivalent practical experience

Technical Environment
  • Backend: TypeScript/Node and Go services
  • Front End: React, TypeScript
  • Data: MongoDB Atlas, S3
  • Compute: Kubernetes, Lambda
  • AI: Amazon Bedrock and managed LLM services, vector search, prompt and evaluation tooling
  • Integration: EventBridge, SQS, Step Functions, API Gateway, REST and gRPC, change streams
  • CI/CD: GitHub, GitHub Actions, Terraform, FluxCD
  • Observability: Grafana Cloud, OpenTelemetry, CloudWatch
  • Platform: Stridyn, Aderant's shared cloud platform and common data plane
  • Ways of working: Pod-based delivery teams with embedded PM, UX, and QA; Continuous Delivery; "you build it, you run it"

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