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Required Experience: 10–15 years (with at least 3–5 years in leadership roles)
● 10–15 years of overall experience in backend engineering, with strong exposure to
Python and/or Golang.
● 3–5 years of experience managing engineering teams.
● Proven experience delivering large-scale, distributed systems in production
environments.
● Strong understanding of microservices, cloud-native architecture, and DevOps
practices.
● Hands-on background in backend engineering (able to guide teams technically, even
if not coding daily).
● Familiarity with CI/CD pipelines, observability, and performance optimization.
● Experience in financial services or high-transaction domains is a plus.
● Experience leading teams that have utilized AI-driven development practices (e.g.,
agentic coding, LLM integration) to improve productivity and innovation is a
significant advantage.
Skills
● Excellent leadership and people management abilities.
● Strong communication and stakeholder management skills.
● Ability to balance technical depth with business priorities.
● Problem-solving mindset with a focus on delivery and impact.
● Passion for building engineering culture and improving developer experience.

- Strong experience with one or more general purpose programming languages including but
not limited to: Python, Java, C/C++, C#
- Demonstrated expertise working with at least one modern enterprise application frameworks like
Spring Boot, Play Framework, Django
- Demonstrated expertise in building scalable distributed applications in microservices architecture
- Expert knowledge of best practice software engineering methodologies and coding standards
- Strong and proven advocacy for Test Driven Development is preferred
- Experience with SQL (mySQL, Postgres, etc) and NoSQL (MongoDb, DynamoDB, Aerospike or Redis)
- Production experience in running cloud-based enterprise-grade systems at scale
- Natural ability to process requirements, figure out multiple execution options, their complexity, and
estimate the scope of work required to get tasks done
- DevOps experience
- Cloud experience (AWS required, Google Cloud Platform bonus
- 8+ years of relevant work experience
- Well-versed in data structures, algorithms, and software design. Programming experience with at least one of
- Java or Python and object-oriented design
- Knowledge on SQL, NoSQL databases, Messaging/Caching technologies and AW deployments is a plus
- Exposure to the architecture and design (design patterns, security, reliability and scaling) of new and current systems. Experience in building highly scalable business applications, which involve implementing large complex business flows involving multiple third-party integrations
- Prior startup experience is a plus
- 2 + years of software development experience utilizing Java based frameworks and technologies to build enterprise grade product solutions.
- 2+ years of experience designing, developing and documenting RESTful APIs.
- Strong understanding of concepts/technologies like Spring MVC, Spring boot, J2EE, EJB, application/API security, API governance/gateway platforms like apigee or kong.
- Good understanding of RDMS concepts and development preferably using MS SQL Server.
- Experience using test automation technologies like cucumber, selenium is a big plus.
- Partner with scrum masters to address technical blockers/impediments to progress.
- Prior experience working with agile scrum-based development methodology. Participate in sprint planning and estimate development efforts for features and stories.
- Partner with DevOps to install and configure/tune application containers like embedded Spring boot tomcat and webserver technologies preferably nginx or apache.
- Partner with cloud engineering group to outline the infrastructure provisioning requirements/needs for new product development.
- Design and develop CI/CD tools and process preferably using Jenkins to configure build jobs for APIs and design pipeline to promote artifacts from development all the way to production
- Experience with messaging technologies like kafka is a huge plus
- Work with Test Automation engineering team to integrate test automation scripts as part of the CI/CD process.
- Prior proven experience of utilizing and productionizing container/container orchestration technologies like Docker, kubernetes.
- Participate and Resolve issues related deployments, application performance etc.
Experience: 4+ years
Work Location: Bengaluru
About the role: At Bizongo, we believe in delivering excellence which drives business efficiency for our customers. As Software Engineer’s at Bizongo, you will be working on developing next generation of technology that will impact how businesses take care of their process and derive process efficiency. We are looking for engineers who can bring fresh ideas, function at scale and are passionate about technology. We expect our engineers to be multi dimensional, display leadership and have a zeal for learning as well as experimentation as we push business efficiency through our technology. As a Software Engineer, Backend, you'll not only be building feature end-to-end but will also make sure that code is of the highest quality, optimised and scalable.
Must-haves: Excellent in data structures, analyzing and solving problems.
Excellent understanding of Object Oriented Programming and MVC. B.Tech/B.E. in Computer Science and Engineering.
Understanding of RESTful APIs Write scalable, production level services. Knowledge of Test Driven Development Thorough with using Git Performance optimization, SQL tuning, caching techniques.
Understanding of how the web works in general You can’t live without writing beautiful code.
Knowledge of creating fault-tolerant, extensible, reusable architecture Passionate to work in a start-up
It would be a plus if: You have extensive Knowledge of Ruby on Rails.
You understand prevalent design patterns.
You have good knowledge of Front-end development (End-to-end Full Stack development).
You are flexible to work on any Tech Stack.
Why work with us?
Opportunity to work with "India’s leading B2B" E-commerce venture. Working in Bizongo translates into being a part of a dynamic start-up with some of the most enthusiastic, hardworking and intelligent people in a fast - paced and charged environment. Being a company that is expanding itself every day and working towards exploring newer avenues in the market, every employee grows with the company. The position provides a chance to build on existing talents, learn new skills and gain valuable experience in the field of E commerce.
DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.
The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Scala analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the Scala ecosystem.
As a member of the Language Engineering team, you will:
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Identify bad code practices in Scala and write new analyzers to detect them.
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Improve the coverage of automatically fixable issues.
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Ensure fewer false-positives are reported by the analyzer.
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Work on the internal tools that support analysis runtimes.
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Contribute to open-source static analysis tools.
We’re looking for someone who has:
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Strong foundational knowledge in Computer Science.
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At least 3 years of professional software development experience in Scala and Java.
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Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
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Familiarity with Scala best practices followed in the industry.
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Native experience with Linux/Unix environment.
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A focus on delivering high-quality code through strong testing practices.
We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.







