Senior Software Engineer – Java Backend , AI

Evertz Microsystems Limited

Bengaluru

Hybrid

INR 2,500,000 - 4,500,000

Full time

14 days+
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Benefits offered by this job

Flexible working opportunities
In-house knowledge and producttraining
Exposure to global broadcast and media
Performance-related bonuses
Insurance and medical plans
Employee-friendly leave policy

Job summary

Evertz Microsystems (TSX:ET) India is seeking a Senior Software Engineer to design and build scalable, production-grade backend systems powering broadcast and media technology.

You will work on the evertz.io microservices and backend platform, applying AI-assisted development practices and tackling concurrency, data consistency, and large-scale distributed systems.

Qualifications

  • 5+ years of software engineering experience in a strongly typed language; Java preferred (Python, Rust, Go, C++, or C# also considered)
  • Strong experience with Java, Spring Boot, and scalable backend development
  • Proficient in using AI coding tools and validating AI-generated code for correctness, security, and maintainability
  • Expertise in AWS, cloud-native applications, and microservices architecture
  • Hands-on experience with Lambda, API Gateway, DynamoDB, SQS, and serverless technologies
  • Familiarity with prompt engineering and MCP servers
  • Strong knowledge of concurrency, data structures, design patterns, and OOP
  • Experience building distributed systems, real-time processing platforms, or other large-scale backend services
  • Proven skills in production debugging, monitoring, and incident investigation
  • Comfortable contributing to large, complex codebases
  • Prior experience in broadcast, media, or real-time systems

Responsibilities

  • Design and develop backend microservices for the evertz.io SaaS platform
  • Design and deliver new features on the Mediator enterprise product — working across a large, mature Java codebase with full ownership from scoping to production
  • Investigate and resolve complex production issues in Mediator — tracing distributed failures, analysing logs, profiling performance bottlenecks, and leading post-incident investigations
  • Participate in architecture and technical design discussions with product owners, engineering leads, and stakeholders
  • Take features from requirement scoping through to production launch
  • Write high-quality, well-tested, maintainable code
  • Use AI-assisted development (Claude, Copilot) as a daily practice including structured prompting, iterative refinement, and AI-assisted debugging
  • Review, validate, and harden AI-generated code through testing, peer review, edge-case analysis, and verification of correctness, scalability, and thread safety
  • Collaborate with QA on automated log analysis and testing workflows

Skills

Java
Spring Boot
AWS
Microservices
Serverless
Concurrency
Data structures
Design patterns
OOP
AI-assisted development

Tools

Jenkins
Git
CodePipeline
Gradle
JUnit
Mockito
Claude
GitHub Copilot

Job description

We are seeking a highly motivated Senior Software Engineer to join our growing engineering team. This role offers an exciting opportunity to design and build scalable, production grade backend systems that power mission-critical applications within the broadcast and media technology domain.

As a Senior Software Engineer, you will combine strong software engineering fundamentals with modern AI-assisted development practices. You will work on the evertz.io microservices and backend platform, building systems designed to handle concurrency, timing, and data consistency at scale.

Key Qualification Requirement
  • 5+ years of software engineering experience in a strongly typed language; Java preferred (Python, Rust, Go, C++, or C# also considered)
  • Strong experience with Java, Spring Boot, and scalable backend development
  • Proficient in using AI coding tools (e.g., Claude, GitHub Copilot) and validating AI-generated code for correctness, security, and maintainability
  • Expertise in AWS, cloud-native applications, and microservices architecture
  • Hands-on experience with Lambda, API Gateway, DynamoDB, SQS, and serverless technologies
  • Familiarity with prompt engineering and MCP servers
  • Strong knowledge of concurrency, data structures, design patterns, and OOP
  • Experience building distributed systems, real-time processing platforms, or other large-scale backend services
  • Proven skills in production debugging, monitoring, and incident investigation
  • Comfortable contributing to large, complex codebases
Additional Skills That Will Be Useful
  • Java ecosystem: Java frameworks, Gradle, JUnit, Mockito
  • Familiarity with CI/CD tools and workflows such as Jenkins, Git, and CodePipeline
  • Prior experience in broadcast, media, or real-time systems
What You\'ll Do
  • Design and develop backend microservices for the evertz.io SaaS platform
  • Design and deliver new features on the Mediator enterprise product — working across a large, mature Java codebase with full ownership from scoping to production
  • Investigate and resolve complex production issues in Mediator — tracing distributed failures, analysinglogs, profiling performance bottlenecks, and leading post-incident investigations
  • Participate in architecture and technical design discussions with product owners, engineering leads, and stakeholders
  • Take features from requirement scoping through to production launch
  • Write high-quality, well-tested, maintainable code
  • Use AI-assisted development (Claude, Copilot) as a daily practice including structured prompting, iterative refinement, and AI-assisted debugging
  • Review, validate, and harden AI-generated code through testing, peer review, edge-case analysis, and verification of correctness, scalability, and thread safety
  • Collaborate with QA on automated log analysis and testing workflows
Who We\'re Looking For
  • Passionate about solving complex backend engineering challenges
  • Strong analytical, debugging, and problem-solving skills
  • Curious about modern software engineering practices, including AI-assisted development
  • Effective communicator who can collaborate across engineering, product, and QA teams
  • Self-motivated with a strong sense of ownership and accountability
  • Comfortable working in fast-paced, collaborative, and highly technical environments
About Evertz Microsystems (TSX: ET)

Evertz India is the subsidiary of Evertz Microsystems (TSX:ET) a global leader in broadcast technology, delivering cutting-edge hardware and software solutions that deliver content to television sets, on-demand services, WebTV, IPTV, and mobile devices (like phones and tablets) worldwide. Trusted by major broadcast facilities, telcos, and satellite providers on every continent, we're known for end-to-end innovation that sets the industry standard.

Canadian-headquartered with offices around the world, Evertz has 2,000+ employees and has been recognized as one ofCanada's 50 Best Managed Companies - a testament to our commitment to excellence and global impact. Join a team where your work shapes the future of broadcast and new media industries.

The Perks
  • Flexible working opportunities
  • In-house knowledge and product training
  • Exposure to global broadcast and media platforms
  • Performance-related bonuses
  • Insurance and medical plans
  • Employee-friendly leave policy
Your Growth

At Evertz, your career is a path to growth and achievement, not just a job. We encourage you to seize opportunities, push boundaries, and pursue your goals.

We offer a hybrid/remote model that balances flexibility and collaboration, driving innovation through diversity, adaptability, and strong connections. You’ll join an inclusive, dynamic team that values creativity and fresh ideas.

Culture is central at Evertz we welcome diverse, passionate talent ready to shape the future. Join us on this journey.

Office Timing:

1:00 PM - 9:00 PM IST

Office Location:

Manyata Tech Park, Bangalore, India

Work Model:

Hybrid/ Remote

Artificial intelligence (AI) technology may be used in our recruitment process to assist with resume screening and interview note-taking. All hiring decisions are made by our team without AI involvement.

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