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Aws Devsecops Engineer Jobs in Connecticut (NOW HIRING)

Delivery Management Engineer II

Hartford, CT · Hybrid

$56.25 - $75.25/hr

... AWS, Azure, GCP). 3+ years' experience with DevSecOps including automated security assessment ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure ...

Google AI Lead Architect

Stamford, CT · On-site

$59 - $80.75/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure ...

Genesys Cloud Architect

Hartford, CT · On-site

$120 - $160/hr

... AWS, Azure, and REST/API-based ecosystems. Analytics & Workforce Optimization: Experience ... Engineering: Familiarity with CI/CD pipelines, Infrastructure as Code (Terraform), DevSecOps ...

... DevSecOps). * Respond to incidents and improve posture -- Investigate security events, review post ... Collaborate and provide guidance -- Work with IT teams, developers, business stakeholders, and ...

Google AI Lead Architect

Hartford, CT · On-site

$55.75 - $76.50/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure ...

Genesys Cloud Architect

Hartford, CT · On-site

$65.50 - $83.50/hr

... AWS, Azure, and REST/API-based ecosystems. Analytics & Workforce Optimization: Experience ... Engineering: Familiarity with CI/CD pipelines, Infrastructure as Code (Terraform), DevSecOps ...

Cyber Data Protection/PKI Manager

Stamford, CT · On-site

$118K - $159K/yr

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ... Experience with DevSecOps integration, CI/CD pipeline enablement, and API-driven automation

Cyber Data Protection/PKI Manager

Hartford, CT · On-site

$112K - $151K/yr

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ... Experience with DevSecOps integration, CI/CD pipeline enablement, and API-driven automation

Showing results 41-60

Aws Devsecops Engineer information

What is an AWS DevSecOps Engineer?

An AWS DevSecOps Engineer is a professional who integrates security practices into the DevOps process on Amazon Web Services (AWS). They are responsible for automating security measures, monitoring system vulnerabilities, and ensuring compliance throughout the software development lifecycle. Their role bridges the gap between development, operations, and security teams, enabling faster and more secure deployment of applications. Typical tasks include configuring security tools, managing cloud infrastructure, and implementing best practices for secure code delivery.

How does an AWS DevSecOps Engineer typically collaborate with development and security teams in a cloud environment?

As an AWS DevSecOps Engineer, you'll work closely with both development and security teams to integrate security practices into the software development lifecycle. This often involves setting up automated security checks in CI/CD pipelines, advising developers on secure coding practices, and ensuring compliance with security policies. Regular meetings and collaborative troubleshooting are common, as you'll be bridging gaps between rapid development and stringent security requirements. By fostering communication and shared responsibility, you help create a culture where security is integrated rather than added as an afterthought.

What are the key skills and qualifications needed to thrive as an AWS DevSecOps Engineer?

To thrive as an AWS DevSecOps Engineer, you need a strong background in cloud infrastructure (especially AWS), security best practices, and automation, often supported by a degree in computer science or a related field. Familiarity with tools like AWS CloudFormation, Terraform, Jenkins, Docker, Kubernetes, and security frameworks such as CIS benchmarks or AWS Security Hub is typical, along with certifications like AWS Certified DevOps Engineer or AWS Certified Security Specialty. Strong problem-solving skills, effective communication, and a proactive approach to security make someone excel in this role. These skills are crucial for ensuring secure, efficient, and resilient cloud environments that support rapid development and deployment cycles.

What is the difference between Aws Devsecops Engineer vs Cloud Security Engineer?

AspectAws Devsecops EngineerCloud Security Engineer
CertificationsAWS Certified DevOps Engineer, Security+CISSP, CCSP, AWS Security Specialty
Work EnvironmentDevOps teams, cloud infrastructure, automationSecurity teams, cloud environments, risk assessment
Primary FocusIntegrating security into DevOps pipelines on AWSImplementing and managing security measures in cloud platforms

The Aws Devsecops Engineer focuses on embedding security practices within DevOps workflows on AWS, emphasizing automation and continuous integration. In contrast, the Cloud Security Engineer concentrates on securing cloud infrastructure, managing security policies, and risk mitigation across cloud environments. Both roles require cloud security knowledge but differ in their primary responsibilities and work settings.

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Cities in Connecticut with the most Aws Devsecops Engineer job openings:

Infographic showing various Aws Devsecops Engineer job openings in Connecticut as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Delivery Management Engineer II

Deloitte

Hartford, CT • Hybrid

$56.25 - $75.25/hr

Full-time

Re-posted 28 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 152 rated financial services


Job description

Position Summary

Delivery Management - Delivery Management Engineer II  - AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 9/30/2026.

Work You'll Do

As a Delivery Management Engineer II you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly with our onshore and offshore development and engineering teams. You'll bring a mix of hands-on technical expertise with the ability to drive projects to completion managing onshore and offshore teams. You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific technical skills enabling you to be a valued technical member of our engineering teams. 

Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams.

CI/CD Pipeline Design & Automation: you will design and optimize CI/CD pipelines with cloud-native and open-source tools.

Technical Project/Program Management: you will help manage technical programs/projects with your structured planning, reporting, and risk management skills.

Requirements Management / Business Analysis: you will handle requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.

Containerization & Orchestration: you will managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).

Qualifications - Required Skills and Experience

4+ years' experience in CI/CD pipeline design and automation with a proven track record designing and optimizing CI/CD pipelines with cloud-native and open-source tools.

Containerization & Orchestration - experience managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).

Infrastructure as Code (IaC) experience - 3+ years' experience in Terraform, with exposure to related monitoring/deployment tools such as Dynatrace, Splunk.

4+ years' experience in product and lifecycle management with experience leading product or service delivery.

4+ years' experience as a technical program or project manager which should include structured planning, reporting, and risk management responsibilities.

4+ years' experience in requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.

4+ years' experience with Git workflows, GitHub/GitLab automation, and best practices for source control.

4+ years' experience driving proactive collaboration between PMOs, executives, technical partners, and DevOps teams.

Bachelor's degree in computer science, software engineering, information technology or a related field.

Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Qualifications - Preferred Skills and Experience:

Strong fluency in Python scripting for automation, integrations, and tooling customization. PMP certification and/or Scrum Master certification.

Release Train Engineering (RTE): Experience in environment oversight, migration, release management, and roadmap coordination in scaled agile settings.

3+ years' experience in Cloud Program Management with hands-on expertise with cloud infrastructure provisioning and automation (AWS, Azure, GCP).

3+ years' experience with DevSecOps including automated security assessment, remediation, and compliance in CI/CD pipelines and cloud environments.

Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for modernization or migration projects.

Incident management and backlog oversight experience with skills around production support, incident resolution, and backlog refinement.

Knowledge of designing, securing, and implementing APIs for automating business and compliance processes.

Agile delivery experience, scrum certification, proficiency in Jira/Confluence, user story creation, requirements gathering, and backlog management.

Wages and Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,400 to $170,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, the individual, and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html


Qualifications:

Position Summary

Delivery Management - Delivery Management Engineer II  - AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 9/30/2026.

Work You'll Do

As a Delivery Management Engineer II you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly with our onshore and offshore development and engineering teams. You'll bring a mix of hands-on technical expertise with the ability to drive projects to completion managing onshore and offshore teams. You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific technical skills enabling you to be a valued technical member of our engineering teams. 

Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams.

CI/CD Pipeline Design & Automation: you will design and optimize CI/CD pipelines with cloud-native and open-source tools.

Technical Project/Program Management: you will help manage technical programs/projects with your structured planning, reporting, and risk management skills.

Requirements Management / Business Analysis: you will handle requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.

Containerization & Orchestration: you will managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).

Qualifications - Required Skills and Experience

4+ years' experience in CI/CD pipeline design and automation with a proven track record designing and optimizing CI/CD pipelines with cloud-native and open-source tools.

Containerization & Orchestration - experience managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).

Infrastructure as Code (IaC) experience - 3+ years' experience in Terraform, with exposure to related monitoring/deployment tools such as Dynatrace, Splunk.

4+ years' experience in product and lifecycle management with experience leading product or service delivery.

4+ years' experience as a technical program or project manager which should include structured planning, reporting, and risk management responsibilities.

4+ years' experience in requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.

4+ years' experience with Git workflows, GitHub/GitLab automation, and best practices for source control.

4+ years' experience driving proactive collaboration between PMOs, executives, technical partners, and DevOps teams.

Bachelor's degree in computer science, software engineering, information technology or a related field.

Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Qualifications - Preferred Skills and Experience:

Strong fluency in Python scripting for automation, integrations, and tooling customization. PMP certification and/or Scrum Master certification.

Release Train Engineering (RTE): Experience in environment oversight, migration, release management, and roadmap coordination in scaled agile settings.

3+ years' experience in Cloud Program Management with hands-on expertise with cloud infrastructure provisioning and automation (AWS, Azure, GCP).

3+ years' experience with DevSecOps including automated security assessment, remediation, and compliance in CI/CD pipelines and cloud environments.

Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for modernization or migration projects.

Incident management and backlog oversight experience with skills around production support, incident resolution, and backlog refinement.

Knowledge of designing, securing, and implementing APIs for automating business and compliance processes.

Agile delivery experience, scrum certification, proficiency in Jira/Confluence, user story creation, requirements gathering, and backlog management.

Wages and Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,400 to $170,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, the individual, and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html


Education:Bachelor's DegreeEmployment Type:

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