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Secure Software Developer Jobs in Rochester, NY (NOW HIRING)

L3HHCM20

Specialist, Application Developer

Rochester, NY · On-site

$79K - $146K/yr

The selected candidate will work closely with software application development, data engineering, IT, and business stakeholders to deliver secure, scalable, and business-relevant solutions. Essential ...

Honeywell

Cloud Developer II

Pittsford, NY · On-site

$53.50 - $73/hr

Build, scale, and secure the underlying AWS infrastructure that hosts Lenel On-Guard. * Manage OS and collaborate with software developers, as well as end-users to diagnose issues * Management of ...

New

Honeywell

Cloud Developer II

Pittsford, NY · On-site

$53.50 - $73/hr

Build, scale, and secure the underlying AWS infrastructure that hosts Lenel On-Guard. * Manage OS and collaborate with software developers, as well as end-users to diagnose issues * Management of ...

New

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps ... software engineering, systems integration, or a related field, with demonstrated expertise in ...

Pwc

NGA AI Engineer Manager

Rochester, NY · On-site

$73K - $244K/yr

Responsibilities - Manage client accounts and secure the delivery of exceptional results - Foster ... Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred ...

Pwc

US Tech - AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

... of scalable, secure, and intelligent platforms that enable AI-powered employee and client ... software, platform, or cloud engineering, including people leadership - In lieu of a Bachelor ...

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Secure Software Developer information

See Rochester, NY salary details

$47.4K

$110.4K

$163.8K

How much do secure software developer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for secure software developer in Rochester, NY is $110,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $128,300.00 per year, depending on experience, location, and employer.

Can you make $200,000 in cyber security?

Secure Software Developers and cybersecurity professionals can earn $200,000 or more annually, especially with extensive experience, advanced certifications, and working in high-demand industries or senior roles. Salaries vary based on location, expertise, and the complexity of the work involved.

Can you make $500,000 as a software engineer?

Secure software developers with extensive experience, specialized skills in areas like cybersecurity or cloud computing, and working in high-paying industries or senior roles can potentially earn $500,000 or more annually. Such salaries are typically achieved through a combination of advanced expertise, certifications, and often involve leadership or highly technical positions in large organizations. However, these earnings are not common for entry-level or mid-level roles.

Can you make $500,000 a year in cyber security?

Secure Software Developers and cybersecurity professionals can potentially earn $500,000 or more annually, especially with senior roles, specialized skills, certifications like CISSP or CISM, and experience in high-demand areas such as threat intelligence or security architecture. Achieving this level often requires advanced expertise, leadership responsibilities, or working in high-paying industries or consulting roles.

What are the key skills and qualifications needed to thrive as a Secure Software Developer, and why are they important?

To thrive as a Secure Software Developer, you need strong programming abilities, a solid understanding of cybersecurity principles, and experience with secure coding practices, often supported by a degree in computer science or a related field. Familiarity with tools like static code analyzers, vulnerability scanners, and security frameworks, as well as certifications such as CSSLP or CEH, are commonly required. Attention to detail, problem-solving, and effective communication are vital soft skills in this role. These skills and qualifications are crucial to building resilient software and protecting organizations from evolving security threats.

What is a secure software developer?

A secure software developer is a professional who designs, codes, and tests software with a focus on security to prevent vulnerabilities and protect against cyber threats. They often use security best practices, coding standards, and tools like static analysis and penetration testing to ensure software safety throughout the development lifecycle.

What are some common challenges Secure Software Developers face when integrating security into the software development lifecycle?

Secure Software Developers often encounter challenges such as balancing application performance with security controls, keeping up with constantly evolving threats, and ensuring secure coding practices are consistently followed across development teams. They must also work closely with other developers, QA testers, and DevOps professionals to implement security requirements without slowing down project timelines. Regular code reviews, automated security testing, and ongoing collaboration with stakeholders are essential to overcoming these challenges and delivering robust, secure software.
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Secure Software Developer jobs near you
Cloud Engineer- Data/AI Focused

Cloud Engineer- Data/AI Focused

Innovative Solutions

Rochester, NY

$113K - $135K/yr

Full-time

Re-posted 4 hours ago

Job description

As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.

What You’ll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.