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Java Fullstack AWS

Java Fullstack AWS at Wissen Technology · Bengaluru (Bangalore) · 8 - 16 years · Profitable · Posted 8 Jun 2026

Wissen Technology's logo

Java Fullstack AWS

Shakthi M's profile picture
Posted by Shakthi M
8 - 16 yrs
Best in industry
Bengaluru (Bangalore)
Skills
skill iconJava
skill iconAngular (2+)
skill iconAmazon Web Services (AWS)
skill iconSpring Boot

 strong experience in Java Spring Boot and Angular to lead a team of developers for a client project based out of Whitefield, Bangalore. The role requires hands-on development, design, architecture understanding, code review, and team coordination.

Key Responsibilities

  • Lead a team of 9 developers and provide technical guidance.
  • Perform hands-on development using Java, Spring Boot, Angular.
  • Drive solution design, code quality, best practices, and performance optimization.
  • Work closely with the client’s product owners and architects.
  • Conduct code reviews, technical grooming, and sprint planning.
  • Troubleshoot and resolve complex technical issues.
  • Ensure timely delivery of modules with high quality.
  • Mentor team members and support them in solving technical blockers.

Technical Skills Required

  • Strong expertise in Java 8+, Spring Boot, REST APIs.
  • Strong front-end experience with Angular 8+, TypeScript, HTML, CSS.
  • Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
  • Hands-on with Git, Maven/Gradle, Jenkins, CI/CD.
  • Knowledge of cloud platforms (AWS) is an added advantage.
  • Experience with Agile/Scrum methodologies.

Soft Skills

  • Excellent communication and client-facing skills.
  • Ability to lead, mentor, and motivate the team.
  • Strong problem-solving and analytical skills.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Wissen Technology

Founded :
2015
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.

With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.


Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.


We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).


Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.


Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.

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  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.


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RunLoyal is a fast-growing vertical SaaS and payments company headquartered in Atlanta, GA, building the operating system for the pet care industry — boarding, daycare, grooming, training, and dog parks. Our platform runs the daily operations of hundreds of real businesses, and our 2026 focus is scaling the product engine behind an expanding enterprise segment.


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This is not a sprint-pool position. You'll operate the way forward-deployed engineers do — dropped into a problem space and trusted to drive it from ambiguity to shipped. You'll be handed a strategic initiative (a new AI product build, a greenfield module, a flagship platform project), gather context directly from stakeholders and customers, set the technical direction, structure the work, and deliver with teammates — leading from the front.


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Honest framing: we're a fast-moving, founder-driven team in transition toward modern SaaS delivery practice. You'll have real autonomy and real accountability in equal measure. If you need a fully paved road, this isn't your role. If you've shipped meaningful things through ambiguity before — and enjoyed it — read on.


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2. Technical leadership from the front

Set the technical direction on your projects and bring teammates along through visible working practice — pairing, reviewing, and raising the bar rather than issuing instructions. Mentor by doing. Contribute to system design and architecture decisions across the platform, and push our engineering practices forward.

3. AI-augmented delivery — our default operating mode

Independently architect and deliver full projects using AI-augmented workflows: agentic coding (Claude Code or equivalent), spec-driven development, AI-led test generation, and structured context management. This is how the role works day-to-day, not an accelerator bolted on. You'll co-author our internal AI engineering playbooks and raise the bar for how the whole team builds.

4. Core engineering

Design and ship scalable Spring Boot microservices, RESTful APIs, and responsive frontends in Angular or React. Write efficient SQL, optimize JVM performance, own production issues on your surfaces end-to-end, and leave the codebase better documented than you found it.


Leadership & Agency — what we'll evaluate hardest

  • You lead from the front. You've set direction on projects and carried teammates with you — through working code and clear communication, not title or authority
  • High agency. You identify what's blocking the outcome and remove it yourself — whether it's code, process, or a conversation someone needs to have
  • Strong stakeholder muscle. You communicate clearly upward and outward — written updates, proactive demos, and comfort presenting to leadership and customers directly
  • Async-native. You work effectively across time zones with documentation and over-communication as defaults, not afterthoughts
  • Calm ownership under ambiguity. Handed a loosely defined problem, you structure it, sequence it, and start shipping


What You Bring

Must have


  • Significant professional software development experience with real ownership scar tissue — you've led projects, not just tickets. We care about evidence, not years
  • Strong hands-on Java and Spring Boot; solid microservices architecture and REST API design
  • Frontend experience with Angular or React
  • Experience with relational databases (MySQL/PostgreSQL) and SQL optimization; JVM fundamentals and backend performance
  • AI-native engineering (hard requirement). You already deliver work through AI-augmented workflows — agentic coding tools, prompt/context engineering, AI-driven testing — and can demonstrate the most complex thing you've shipped this way
  • Product-company experience: you've built for end users with daily stakes, and you think in outcomes
  • Strong debugging, analytical, and problem-solving skills; unit testing and code coverage discipline
  • Bachelor's degree in Computer Science or equivalent practical experience


Nice to have


  • Forward-deployed, consulting, or founding-engineer experience — dropped into a customer or problem space and shipped
  • AWS (EC2, ECS), Docker, CI/CD pipelines, Redis or similar caching
  • SaaS or multi-tenant systems; Golang exposure
  • DevOps and security best practices awareness


What You'll Gain

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  • Direct working partnership with the Head of Product and Head of Engineering
  • A defining role in how AI-native engineering is practiced at a product company that takes it seriously
  • Fast growth in a high-velocity startup with a clear product vision


How to Apply

Send the following — applications without all three will not be reviewed:


  1. Your project story. One page or less: a project you led end-to-end through significant ambiguity — what you shipped, how you led the team, and what measurably changed. Specifics over adjectives.
  2. Your AI workflow. A short description of how AI is embedded in your actual engineering workflow today — tools, techniques, and the most complex thing you've shipped with it.
  3. Your resume.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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