ZipRecruiter

Log In

1

Freelance Software Reverse Engineer Jobs in Georgia

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 · 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 ...

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 ...

previous page

Showing results 41-60

All JobsSoftware Reverse Engineer JobsFreelance Software Reverse Engineer JobsFreelance Software Reverse Engineer Jobs in Georgia

Freelance Software Reverse Engineer information

What is a freelance software reverse engineer?

Freelance software reverse engineers are independent professionals who analyze and deconstruct software to understand its inner workings, functionality, and design. They often work on projects like software debugging, security analysis, compatibility research, or recovering lost source code. Unlike in-house engineers, freelancers take on contract-based assignments for different clients rather than working for a single employer. Their work often requires advanced technical skills and a thorough knowledge of programming, operating systems, and software architectures. This role can be essential for organizations seeking to improve software security, ensure compliance, or maintain legacy systems.

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

To thrive as a Freelance Software Reverse Engineer, you need advanced knowledge of programming languages, binary analysis, operating system internals, and a strong background in computer science or related fields. Expertise with technical tools such as IDA Pro, Ghidra, OllyDbg, Wireshark, and proficiency in using debuggers and disassemblers is typically required. Strong analytical thinking, problem-solving, attention to detail, and effective communication with clients are standout soft skills in this role. These competencies are crucial for efficiently deconstructing software, understanding its functionality, and delivering actionable insights or solutions for clients.

What are some common challenges faced by freelance software reverse engineers when working with clients?

Freelance software reverse engineers often encounter challenges such as incomplete or unclear project requirements, which can make it difficult to determine the exact scope of work. Additionally, working with obfuscated or poorly documented code can slow progress and require creative problem-solving. Communication is key, as clients may not always understand the technical complexities involved, so setting realistic expectations and providing regular updates is essential. Freelancers must also stay current with evolving tools and legal considerations, especially when handling proprietary or protected software.

What is the difference between Freelance Software Reverse Engineer vs Freelance Malware Analyst?

AspectFreelance Software Reverse EngineerFreelance Malware Analyst
CredentialsKnowledge of programming, debugging, and reverse engineering toolsKnowledge of malware behavior, analysis tools, and cybersecurity principles
Work EnvironmentRemote, project-based, often collaborating with security teams or clientsRemote, focused on analyzing malicious code and threats for clients or security firms
Industry UsageSoftware development, cybersecurity, security consultingCybersecurity, threat intelligence, incident response
Search & Comparison IntentOften compared for skills in reverse engineering and software analysisCompared for expertise in malware detection and cybersecurity threats

While both roles involve analyzing software, Freelance Software Reverse Engineers focus on understanding and deconstructing software code, whereas Freelance Malware Analysts specialize in identifying and mitigating malicious threats. The two roles often overlap but serve distinct purposes in cybersecurity and software development.

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 Freelance Software Reverse Engineer jobs in Georgia?

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

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

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

What cities in Georgia are hiring for Freelance Software Reverse Engineer jobs?

Cities in Georgia with the most Freelance Software Reverse Engineer job openings:

Freelance Software Reverse Engineer jobs near you

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"

Apply