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Sr Advanced Software Engineer

Honeywell

Sr Advanced Software Engineer

Honeywell

Bengaluru, Karnataka, India, IN

·

On-site

·

Full-time

·

3w ago

We are seeking an experienced Solution Architect with a strong background in Dev Sec Ops, Cloud platforms, and AI-enabled technologies to design and govern secure, scalable, and resilient enterprise solutions.

The Solution Architect will be responsible for end-to-end solution architecture, ensuring alignment with business goals, security standards, and modern engineering practices.

This role requires close collaboration with product teams, platform engineering, security, and cloud teams to define architectural blueprints, drive Dev Sec Ops adoption, and enable AI-driven capabilities across the software delivery lifecycle.

  • Bachelor’s degree in engineering, Computer Science, or a related technical field.

  • 8 years of experience in software engineering, DevOps, cloud architecture, or solution architecture roles.

  • Proven experience designing enterprise-scale solutions in cloud and hybrid environments.

  • Strong understanding of Dev Sec Ops practices, including:

  • CI/CD architecture and pipeline design

  • Security automation and shift-left security

  • Infrastructure as Code (Terraform, ARM, CloudFormation)

  • Hands-on experience with cloud platforms (AWS, Azure, or GCP).

  • Experience with containerization and orchestration (Docker, Kubernetes).

  • Solid understanding of application architecture patterns, APIs, microservices, and event-driven systems.

  • Strong communication and stakeholder management skills.

We value

  • Experience with AI/ML or Generative AI solutions, including use of AI for:

  • Developer productivity and code assistance

  • Intelligent monitoring, anomaly detection, or automation

  • Familiarity with Dev Sec Ops tooling ecosystems (CI/CD, security scanning, artifact management).

  • Experience with identity and access management, zero-trust, and cloud security architectures.

  • Exposure to observability platforms (logging, monitoring, tracing).

  • Cloud or security certifications (AWS, Azure, GCP, Kubernetes, or Security-related).

  • Experience defining reference architectures and platform standards at an enterprise level.

#AERO26

  • Define and own end-to-end solution architecture across applications, platforms, integrations, and infrastructure.
  • Design secure-by-design architectures incorporating Dev Sec Ops principles across build, test, deploy, and operate phases.
  • Architect and guide implementation of cloud-native solutions using AWS, Azure, or GCP.
  • Establish architectural standards for CI/CD, infrastructure as code, security automation, and observability.
  • Integrate security controls such as identity management, secrets handling, vulnerability scanning, and compliance checks into solution designs.
  • Leverage AI/ML and Generative AI capabilities to improve developer productivity, automation, monitoring, and decision-making.
  • Collaborate with DevOps and platform teams to define reference architectures and reusable patterns.
  • Participate in architecture reviews, design governance, and technical decision forums.
  • Guide teams on scalability, reliability, performance, and cost optimization.
  • Translate business and functional requirements into technical architectures and solution roadmaps.
  • Mentor engineering teams on architecture best practices and modern cloud-native design.

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About Honeywell

Honeywell

Honeywell

Public

The future is what we make it.

10000+

Employees

Charlotte

Headquarters

Reviews

3.2

4 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.0

Career

3.0

Management

2.5

Pros

Good team and helpful colleagues

Fair pay and good benefits

Training and resources available

Cons

Limited job progression

Old boys club culture

High expectations with unclear answers

Salary Ranges

1,391 data points

Mid/L4

Senior/L5

Mid/L4 · Data Analyst II

2 reports

$136,600

total / year

Base

$105,077

Stock

-

Bonus

-

$136,600

$136,600

Interview Experience

4 interviews

Difficulty

2.5

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Panel Interview

6

Online Assessment

7

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm

Culture Fit