Dot Net Developer

Insurity’s Next Software Engineer II

We are seeking an experienced and highly capable Software Engineer II to join our Bridge product team. This role offers the opportunity to shape the future of a core Insurity platform by building new features, modernizing both frontend and backend components, and improving system performance. The ideal candidate will bring strong technical depth, collaborative instincts, and an automation mindset—along with a passion for using next-generation tooling to enhance delivery. You’ll play a key role in projects that include UI/API modernization, system integrations, and performance tuning, while also helping to adopt agentic workflows and internal automations that scale team impact.

What Our Software Engineer II Will Do

• Design, build, and ship features across a large .NET microservices suite; own your code from design through production.
• Own quality as part of engineering: write and maintain the automation needed to protect your services (unit, integration, contract, and targeted e2e). “Done” = coded, reviewed, tested, observable, deployed.
• Evolve APIs (REST/JSON; some SOAP): define clear contracts, enforce backward-compatibility with contract tests.
• Level up automation & CI/CD: improve pipelines, quality gates, coverage, and deployment reliability; reduce flaky tests and speed feedback loops.
• Operate what you build: add logs/metrics/traces, triage issues, root-cause and fix defects.
• Partner with QA on test strategy for your changes; QA is a collaborator, not a handoff.
• Lean into generative AI to go faster—safely:
• Use coding assistants (e.g., Copilot/ChatGPT/Replit) to draft code/tests/docs and verify outputs.
• Generate synthetic test data/cases from API contracts; summarize PRs, changelogs, and incidents.
• Build lightweight internal automations (e.g., PR reviewers, log triage helpers) under our governance.
• Document decisions and how to test/use your services.

     Within 6–18 months you will:

• Independently deliver simple → moderately complex enhancements end-to-end with solid estimates.
• Extend shared test/utilities as needed for your services (you’re not a test-framework team).
• Write concise technical docs for engineers, QA, support, and ops.

Who We’re Looking For

• 6–10 years building and shipping production services/features.
• C#/.NET (ASP.NET Core, Web API), SQL Server; microservices fundamentals (service boundaries, resiliency, observability).
• Quality-through-code (must-have): you routinely add unit/integration/contract tests for the code you ship; comfortable with Playwright/Cypress or Postman/Newman for targeted e2e; GitHub Actions/Azure DevOps/Jenkins for CI/CD and quality gates.
• Generative AI fluency (must-have): practical experience using coding assistants to accelerate delivery, crafting prompts, checking/ground-truthing outputs, and safely handling code/data (privacy & IP). Bonus: generating test data/cases, PR summaries, or simple internal automations; exposure to vendor AI features or no/low-code connectors
• Strong API design & documentation; SOAP familiarity is a plus.
• Solid engineering practices: OOP, SOLID, data structures/algorithms, Git, reviews, reproducible builds.
• Azure/DevOps exposure desirable (pipelines, IaC basics, monitoring).
• Automation mindset: linters/formatters, build/deploy scripts, DB migrations, scaffolding/code-gen.
• Clear communicator; collaborates well with Product/QA/Ops; change agent within 6–12 months.
• Nice to have: Insurance domain exposure (claims/policy/billing/underwriting).
• Hybrid role (we just built a brand-new office space!)

 Sr. Java Software Engineer:

Preferred Education & Experience:

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.
• Well-versed in and 5+ years of hands-on designing experience in Object Oriented Design, Data Modeling, Class & Object Modeling, Microservices Architecture & Design.
• Well-versed in and 5+ years of hands-on programming experience in Core Java Programming, Advanced Java Programming, Spring Framework, Spring Boot or Micronaut Framework, Log Framework, Build & Deployment Framework, etc

. • 3+ years of hands-on experience developing Domain-Driven Microservices using libraries & frameworks such as Micronaut, Spring Boot, etc.

• 3+ years of hands-on experience developing connector frameworks Apache Camel, Akka framework, etc.
• 3+ years of hands-on experience in RBDMS & NoSQL Databases concepts and development practices (PostgreSQL, MongoDB, Elasticsearch, Amazon S3).
• 3+ years of hands-on experience developing Webservices using REST, API Gateway using Token based authentication, access management.
• 1+ years of hands-on experience developing and hosting microservices using Serverless and Container based development (AWS Lambda, Docker, Kubernetes, etc.).
• Having Knowledge & hands-on experience developing applications using Behavior Driven Development, Test Driven Development Methodologies is a Plus.
• Having Knowledge & hands-on experience in AWS Cloud Services such as IAM, Lambda, EC2, ECS, ECR, API Gateway, S3, SQS, Kinesis, CloudWatch, DynamoDB, etc. is also a Plus.
• Having Knowledge & hands-on experience in DevOps CI/CD tools such as JIRA, Git (Bitbucket/GitHub), Artifactory, etc. & Build tools such as Maven & Gradle.
• 2+ years of hands-on development experience in Java centric Developer Tools, Management & Governance, Networking and Content Delivery, Security, Identity, and Compliance, etc.
• Having Knowledge & hands-on experience in Apache Nifi, Apache Spark, Apache Flink is also a Plus. • Having Knowledge & handson experience in Python, NodeJS, Scala Programming is also a Plus. Required Experience: 5+ Years

Job Location: Remote / Pune

Open Positions: 1

Job Description:

- Experience with Java 4 to 8 years, Spring Boot, Microservices, Angular, Docker, and Kubernetes

Knowledge of multi-threading concepts, TCPIP, databases, and REST-based JSON APIs

- Experience with build and deployment tools: Maven, Git, JUnit

- Experience building and working with DevOps Toolchains (Github actions, Jenkins)

Experience with responsive UI development

Demonstrates great communication skills and initiative to solve problems and convey solutions to peers and product owners.

Experience with the scrum process

Experience with event-driven architecture.

Knowledge of UI testing and continuous integration

Working knowledge of TDD TDD mindset

- Pair Programming experience

Functional knowledge of the Accounts Payable domain is an added advantage.

What You will do

● Create beautiful software experiences for our customers using design thinking, lean and agile methodology.

● Design and develop software products from scratch using the latest cutting edge technologies, platforms and languages such as JAVA, python, Javascript, GoLang and Scala.

● Work in a dynamic, collaborative, transparent, non-hierarchical culture.

● Help to grow the next generation of developers and have a positive impact on the industry.

Basic Qualifications

● Experience: 8+ years.

● Engineering Degree in Computer Science OR Equivalent.

● Hands-on development experience with a broad mix of languages such as JAVA, Python, Javascript etc.

● Server-side development experience mainly in JAVA, (Python and nodeJS can be considerable)

● UI development experience in ReactJS or AngularJS or PolymerJS or EmberJS or Jquery etc.

● Passion for software engineering and follow the best coding concepts.

● Good to great problem solving and communication skills.

● Must have experience in technical architecture and design , code reviews and mentoring junior developers.

● Should have experience in stakeholder management and work along with architects as and when necessary to lead the project.

Nice to have Qualifications

● Product engineering and customer-centric mindset.

● Great OOP skills, including design patterns.

● Experience with devops, continuous integration & deployment.

● Exposure to big data technologies, Machine Learning and NLP will be a plus.

Benefits

● Competitive salary.

● Work from anywhere.

● Reimbursements for remote work set up.

● Insurance (including a top up insurance for COVID).

● Free Access to Online learning libraries such as O'reilly or equivalent

Location

Remote - work from anywhere.

We have the below active job vacancies open with a global aerospace brand in Bangalore (Hebbal) & (Devanahalli).

Java Full Stack Developer (Product) | 5-17 Y | Bangalore (Hebbal) | WFO | Locals Only | F2F Must |

Role: Java Full Stack Developer

Work Model: Hybrid - Working (2/3 days)

Mode Of Interview: F2F @ CV Raman Nagar & Hebbal - Office Site

Work Sites: Until March 2024 Hebbal & thereafter from Devanahalli

Key Skills: Java, Full Stack, Microservices, Springboot, Spring, JavaScript, HTML/CSS, Angular, Cloud (Azure or AWS), DevOps, Database

Levels: (All roles demands high technical expertise and Individual contributions)

Associate Software Engineer: 5 - 8 Yrs

Senior Java Full Stack Developer: 8 -12 Y

Lead Java Full Stack Developer: 12 - 17 Y

Prefer applicants from Aerospace, Consumer Tech Products & Electronics, Automotive, Unicorn, D2C Brands, who can join in short notice (30 Days).

If this role excites you, please apply here

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Senior Software Engineer I

Primary Responsibilities

• Designs, codes, debugs, optimizes, and releases both frontend and backend components as well as internal tools.
• Performs code reviews of pull requests.
• Assists junior engineers with development and SDLC processes.
• Works closely with QA analysts for feature and regression testing.
• Writes and maintains unit, integration, and acceptance tests.
• Helps select and incorporate new tools and technologies.
• Drives continuous improvement of best practices within the development team.
• Identifies and recommends where increased automation, performance enhancements, application enhancements, and quality enhancements may be incorporated.
• Remains flexible and responsive to changing priorities and multiple, concurrent responsibilities.
• Keeps current with emerging technologies and technological developments within the industry.

Education & Experience

·      Level of Formal Education:

o  Bachelors or 5 years of professional experience

·      Area of Study:

o  Computer Science or related field

·      Years of Experience:

o  5+ years

·      Type of Experience:

o  Software Engineering

·      Special Certifications or Technical Skills:

o  n/a

·      Information Systems:

o  C#, .NET Framework, JavaScript, SQL Server

·      Technical Competencies:

o  n/a

·      Skills and Ability:

o  C# (or similar language)

o  JavaScript / Node.js

o  SQL Server (or similar relational database management system)

o  Object-oriented design

o  Unit, integration, & acceptance testing

o  Git (or similar version control system)

·      Personal Attributes:

o  Accountable, analytical, methodical, strategic, situational awareness

·      Other/Preferred:

o  Full Stack Development experience

o  Experience or interest in learning:

§ REST web services / microservice architecture

§ Continuous integration & continuous delivery

§ Behavior-driven development

§ GraphQL

§ Docker containers

§ Cloud technologies (e.g. serverless architecture / AWS Lambda)

 ​IT experience in analysis, design, development, documentation, implementing, and testing of software systems in Java, ​Spring Boot, Hibernate, and Internet technologies.

​- ​Spring Boot includes real-world experience working with ​Microservices Architecture, Plugin Services.

​- ​Strong experience in Spring Frameworks such as Spring MVC, IOC, AOP, and Spring JDBC.

​- Strong knowledge of the ​DevOps, AWS Environment, Code Versioning ​- ​Strong hands-on experience with Spring IO, Spring Boot with Thyme leaf.

​- ​Experience in implementing Java EE design patterns such as MVC, Singleton, Session Façade, DAO, DTO, and Business Delegate in the development of Multi-Tier distributed Enterprise Applications.

​- ​Good experience in developing Web Services SOAP, JAX-WS, WSDL.

​- ​Experience in core Java-Multithreading, collections, Servlets and JDBC.

​- ​​Strong knowledge on RDBMS concepts and broadly worked ​Postgres, MySQL technologies such as MongoDB

​- ​Experience in designing front-end ​technologies like ReactJS will be an add-on​

​- ​Hands-on experience with build and deployment tools including Ant / Maven, logging and Debugging using Slf4 and Log4j, and unit and integration testing using JUnit.

​- ​Experience with Use-Case design, Class, and Sequence diagrams using UML.

​- ​Excellent team player with good analytical, strategic planning, and interpersonal and communication skills. Highly motivated, enthusiastic, and self-starter.