Top 2469 Software Jobs in Central, Ct

Senior Security Engineer
The Hartford —Hartford, CT
- $128,400 - $192,600 a year
- Full-time
- Hybrid work
- Azure
- 6 years
- Office
2d
MDM Consultant - Informatica MDM Supplier 360
Infosys —Hartford, CT
- Senior level
Quick Apply
Assistive Technology Assessment Coordinator
Midstate ARC Inc —Meriden, CT
- $20 - $25 an hour
- Part-time
- Background check
- Experience working with individuals with disabilities
- Research
- Dental insurance
- 401(k)
Quick Apply
Hybrid Data Analyst in Southington, CT
Company Confidential —Southington, CT
- $80,000 - $100,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
Quick Apply
Technical Service and Order Fulfillment Associate
Naiad Dynamics US, Inc. —Shelton, CT
- Urgently hiring
- Microsoft Outlook
- Computer literacy
- ERP systems
- Disability insurance
- Health insurance
Quick Apply
Software Engineer II (AWS, Node)
Travelers —Hartford, CT
- $120,400 - $198,700 a year
- Azure
- Computer Science
- Mid-level
- Wellness program
- Paid holidays
9d
REMOTE - Digital Accessibility Tester
Calance US —Hartford, CT
- $40 - $47 an hour
- Contract
- Remote
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- AD&D insurance
- Disability insurance
1d
Software Engineer II (Node, React, Typescript)
Travelers —Hartford, CT
- $120,400 - $198,700 a year
- Azure
- Computer Science
- Mid-level
- Wellness program
- Paid holidays
8d
Software Engineer II - AI Assistant Enablement
Travelers —Hartford, CT
- $120,400 - $198,700 a year
- Azure
- Computer Science
- Mid-level
- Wellness program
- Paid holidays
12d
Software Engineer I (AI Driven)
Travelers —Hartford, CT
- $99,100 - $163,400 a year
- Computer Science
- 3 years
- Bachelor's degree
- Wellness program
- Paid holidays
9d
Staff Software Engineer - AI Trainer
DataAnnotation —Westport, CT
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Software Engineer - AI Trainer
DataAnnotation —Brookfield, CT
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
EWM SAP IT Application Engineer
ASML —Wilton, CT
- Full-time
- Hybrid work
- Computer Science
- 8 years
- Analysis skills
- Work from home
Mobile Software Engineer - Req# 606
COCC —Southington, CT
- Full-time
- Mid-level
- 3 years
- US work authorization
- Wellness program
- Tuition reimbursement
Quick Apply
2d
Snowflake Architect
Infosys —Hartford, CT
- Senior level
Quick Apply
Manager, Business Data & Analytics
Lincoln Waste Solutions —Windsor, CT
- $100,000 - $125,000 a year
- Full-time
- Mid-level
- Office
- 3 years
- Health insurance
- Dental insurance
10d
AI Engineer
Infosys —Hartford, CT
- Mid-level
- Analysis skills
- Python
Quick Apply
Senior Cyber Insurance Architect
Travelers —Hartford, CT
- $139,400 - $230,000 a year
- Computer Science
- 8 years
- Bachelor's degree
- Wellness program
- Paid holidays
12d
AI Engineer
Infosys —Hartford, CT
- Senior level
- Leadership
- Python
Quick Apply
Staff Software Engineer - AI Trainer
DataAnnotation —Bridgeport, CT
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply

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Senior Security Engineer

The Hartford -
Hartford, CT

Apply Now

Job Details

Full-time
$128,400 - $192,600 a year
2 days ago

Qualifications

AI models
Containerization systems
Performance monitoring
Secure web application development
DevSecOps Practices
Software engineering
Continuous Delivery (CD) implementation
Infrastructure as Code (IaC)
Enterprise software
Software implementation
NoSQL
Enterprise solutions implementation
Application deployment
Scalable systems
Machine learning projects
Enterprise software systems development
Infrastructure architecture design
SQL
System design for system development
Machine learning cloud services
Cloud security best practices implementation
Managing engineering teams
IT monitoring tools
IT security architecture
Application design
Log analysis tools
Back-end development experience
Mentoring
Cloud Native Design
Leading team collaboration initiatives

Full Job Description

Senior Security Engineer - IS07FE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Enterprise Cyber Focal Office – Sr. Security Engineer is a senior, hands-on technical leader and trusted partner to the Enterprise Cyber Focal Lead. This role is responsible for designing, developing, and implementing complex, AI‑driven cyber security solutions that strengthen application security, vulnerability management, and enterprise cyber resilience.

Operating at a technical lead/manager (T7) level, this role combines deep engineering expertise, cloud-native architecture, and applied AI with strong leadership and influence across Cyber, Reliability Engineering, Infrastructure Engineering and Software Engineering teams. The role also provides technical leadership and direction to offshore teams and drives adoption of secure-by-design engineering practices across the enterprise.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Technical Leadership & Solution Delivery

Serve as a trusted technical advisor to the Enterprise Cyber Focal Lead, translating cyber strategy into scalable, high‑impact technical solutions.
Design, build, and implement complex cyber solutions leveraging AI/ML to improve threat detection, vulnerability management, risk prioritization, and automation.
Lead end-to-end solution architecture, including design reviews, implementation, and operational readiness for cyber platforms and tooling.
Apply full‑stack application development expertise to build secure, resilient, and performant cyber applications and services.

Cloud & AI Engineering

Architect and deliver solutions using AWS cloud services, following cloud-native, well‑architected, and security principles.
Apply hands-on AI/ML capabilities (GCP preferred) to build and operationalize intelligent cyber capabilities (e.g., analytics, anomaly detection, automation, decision support).
Partner with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready.

Application Security

Demonstrated hands‑on experience with enterprise security, logging, and monitoring platforms (e.g., Splunk, Dynatrace, Orca Security, Akamai), leveraging these tools to drive threat detection, observability, and risk reduction at scale.
Applies deep technical expertise in security telemetry, application logging, and runtime monitoring to design, integrate, and optimize application level security and observability capabilities enterprise‑wide.
Experienced in Leveraging GitHub Copilot as a hands‑on productivity and quality accelerator for secure software development, including code scaffolding, refactoring, test generation, and documentation, while ensuring adherence to enterprise security and coding standards.

Application Vulnerability Management

Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows.
Partner with CISO (THIP) and Engineering organization and drive modernization and automation of vulnerability intake, prioritization, and reporting using AI and data-driven techniques.
Partner with application teams to embed vulnerability remediation into SDLC and CI/CD pipelines.

Engineering Partnership & Best Practices

Act as a trusted partner to Security, Platform, Reliability and Software Engineers, enabling secure, reliable, and resilient application delivery.
Define, promote, and enforce application security best practices, including secure coding, dependency management, secrets handling, logging, and monitoring.
Influence engineering teams through technical standards, reference architectures, and hands-on guidance rather than mandate.

Team Leadership & Delivery Excellence

Provide technical leadership to an offshore engineering team, including design guidance, code reviews, mentoring, and delivery oversight.
Ensure high engineering quality, operational stability, and adherence to enterprise security and compliance standards.
Contribute to roadmap planning, prioritization, and continuous improvement of cyber platforms and capabilities.

Required Experience & Qualifications

6+ years of experience in cyber-focused application development (security engineering), with time in technical leadership roles.
Strong security application development experience (frontend, backend, APIs, integrations). This includes proficiency in modern frameworks and languages such as Angular, React, or Vue.js with strict Content Security Policy (CSP) and XSS prevention. Node.js or NestJS using security modules like Helmet, Jose, and express-validator.
Proven experience designing and delivering enterprise-scale cyber, security or application platforms.
Experience leading and mentoring distributed/offshore technical teams, using Splunk, Dynatrace, Akamai or other events and logs.
Ability to operate as a trusted partner and influencer across Cyber, Engineering, and Infrastructure organizations.
Experience across logging and monitoring, edge and application security, AI‑assisted development, ITSM workflows, CI/CD pipelines, and automated deployment platforms, ensuring scalable, secure, and repeatable engineering practices.
Knowledge of application security, vulnerability management, and secure SDLC practices is preferred.
The role requires expertise in API design (REST/GraphQL), database technologies (SQL and NoSQL), and cloud‑native development on platforms such as Azure or AWS. A full‑stack tech lead is also adept in CI/CD practices, infrastructure‑as‑code, containerization (e.g., Docker, Kubernetes), and secure coding principles, with hands‑on experience integrating security, logging, monitoring, and performance tools.
Strong problem‑solving skills, system‑level thinking, and the ability to collaborate across product, security, and operations teams are essential to delivering scalable, resilient, and secure applications.
Deep hands-on experience with AWS cloud architecture and related services. Demonstrated hands-on AI/ML implementation experience, with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent).

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Required Certifications:

One or more Security Certification focused on app sec - (e.g., CSPM, CSSM, CISSP, CISM, CSSLP, CCSP, CompTIA, ISC2, GIAC, EC-Council)
One or more cloud security –
The AWS Certified Security - Specialty (often called AWS Security Specialty, SCS-C02)
Google Professional Cloud Security Engineer

Preferred Certifications:

AI / ML Certification (AWS, GCP, or equivalent)
AWS Certification (e.g., Solutions Architect, DevOps Engineer)

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$128,400 - $192,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Apply Now

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This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Technical Leadership & Solution Delivery

Serve as a trusted technical advisor to the Enterprise Cyber Focal Lead, translating cyber strategy into scalable, high‑impact technical solutions.

Design, build, and implement complex cyber solutions leveraging AI/ML to improve threat detection, vulnerability management, risk prioritization, and automation.

Lead end-to-end solution architecture, including design reviews, implementation, and operational readiness for cyber platforms and tooling.

Apply full‑stack application development expertise to build secure, resilient, and performant cyber applications and services.

Cloud & AI Engineering

Architect and deliver solutions using AWS cloud services, following cloud-native, well‑architected, and security principles.

Apply hands-on AI/ML capabilities (GCP preferred) to build and operationalize intelligent cyber capabilities (e.g., analytics, anomaly detection, automation, decision support).

Partner with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready.

Application Security

Demonstrated hands‑on experience with enterprise security, logging, and monitoring platforms (e.g., Splunk, Dynatrace, Orca Security, Akamai), leveraging these tools to drive threat detection, observability, and risk reduction at scale.

Applies deep technical expertise in security telemetry, application logging, and runtime monitoring to design, integrate, and optimize application level security and observability capabilities enterprise‑wide.

Experienced in Leveraging GitHub Copilot as a hands‑on productivity and quality accelerator for secure software development, including code scaffolding, refactoring, test generation, and documentation, while ensuring adherence to enterprise security and coding standards.

Application Vulnerability Management

Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows.

Partner with CISO (THIP) and Engineering organization and drive modernization and automation of vulnerability intake, prioritization, and reporting using AI and data-driven techniques.

Partner with application teams to embed vulnerability remediation into SDLC and CI/CD pipelines.

Engineering Partnership & Best Practices

Act as a trusted partner to Security, Platform, Reliability and Software Engineers, enabling secure, reliable, and resilient application delivery.

Define, promote, and enforce application security best practices, including secure coding, dependency management, secrets handling, logging, and monitoring.

Influence engineering teams through technical standards, reference architectures, and hands-on guidance rather than mandate.

Team Leadership & Delivery Excellence

Provide technical leadership to an offshore engineering team, including design guidance, code reviews, mentoring, and delivery oversight.

Ensure high engineering quality, operational stability, and adherence to enterprise security and compliance standards.

Contribute to roadmap planning, prioritization, and continuous improvement of cyber platforms and capabilities.

Required Experience & Qualifications

6+ years of experience in cyber-focused application development (security engineering), with time in technical leadership roles.

Proven experience designing and delivering enterprise-scale cyber, security or application platforms.

Experience leading and mentoring distributed/offshore technical teams, using Splunk, Dynatrace, Akamai or other events and logs.

Ability to operate as a trusted partner and influencer across Cyber, Engineering, and Infrastructure organizations.

Experience across logging and monitoring, edge and application security, AI‑assisted development, ITSM workflows, CI/CD pipelines, and automated deployment platforms, ensuring scalable, secure, and repeatable engineering practices.

Knowledge of application security, vulnerability management, and secure SDLC practices is preferred.

Strong problem‑solving skills, system‑level thinking, and the ability to collaborate across product, security, and operations teams are essential to delivering scalable, resilient, and secure applications.

Deep hands-on experience with AWS cloud architecture and related services. Demonstrated hands-on AI/ML implementation experience, with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent).

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Required Certifications:

One or more Security Certification focused on app sec - (e.g., CSPM, CSSM, CISSP, CISM, CSSLP, CCSP, CompTIA, ISC2, GIAC, EC-Council)

One or more cloud security –

The AWS Certified Security - Specialty (often called AWS Security Specialty, SCS-C02)

Google Professional Cloud Security Engineer

Preferred Certifications:

AI / ML Certification (AWS, GCP, or equivalent)

AWS Certification (e.g., Solutions Architect, DevOps Engineer)