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About the Role
We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.
This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.
This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.
Responsibilities
- Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
- Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
- Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
- Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
- Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
- Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
- Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
- Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.
Qualifications
- Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
- Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
- Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
- Advanced knowledge of Kubernetes and Terraform in production environments.
- Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
- Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
- Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
- Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
- Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
- Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
- Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
- Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.
Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.
Our Culture
Who we are:
Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.
How we work:
- We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
- Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
- Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
- We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
- We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.
Job Description-
Experience- 4 to 6 years
Location- Bangalore
As an embedded Full-Stack Developer, you build and operate Python-leaning full-stack features with strong API, CI/CD, and production-support discipline, working alongside an existing squad architecture.
As an embedded Full-Stack Developer, you turn Python + React delivery into reliable, production-grade features.
Key responsibilities
1. Build features. Develop Python-leaning full-stack functionality (React front end secondary).
2. Own APIs. Design and maintain REST APIs integrated with enterprise systems.
3. Automate delivery. Build and maintain CI/CD pipelines; contribute to observability and vulnerability remediation.
4. Support production. Provide production support, triage, and fixes for live services.
5. Collaborate. Work within the existing squad structure and stand-ups.
6. Iterate on quality. Use monitoring and feedback to improve reliability and performance.
Must-have qualifications
• Python-leaning full-stack development (React preferred secondary); 3-15 years depending on level
• Strong API design and integration experience
• CI/CD pipeline experience
• Production-support experience (triage, incident response, fixes)
We are looking for Java Full Stack Developers with strong experience in development using Java, Spring Boot, and REST APIs, along with exposure to front-end technologies such as Angular or React.
Required Skills:
- Strong proficiency in Java and Spring Boot framework.
- Hands-on experience in developing REST APIs and microservices architecture.
- Experience with Kafka.
- Experience with Spring Batch processing.
- Knowledge of Swagger/OpenAPI.
- Hands-on experience with OpenShift or container orchestration platforms.
- Strong understanding of JPA/Hibernate ORM frameworks.
- Experience working with relational and/or NoSQL databases.
- Proficiency in Git version control systems.
- Experience with CI/CD tools and deployment pipelines.
- Testing knowledge using JUnit.
- Experience with functional and API testing tools such as Postman.
- Front-end development experience with Angular or React.

Job Title: Technical Delivery lead – Full stack
Experience:
· 12+ years overall
· 5+ years as Technical Delivery lead
Position Summary
We are looking for an experienced Technical Delivery Lead with 12+ years of software development experience to lead the design, development, integration, deployment, and support of enterprise digital solutions. The ideal candidate should have strong hands-on technical expertise and be capable of actively contributing to development by designing and implementing complex features, integrations, and critical business functionalities while leading the cross-function team.
Key Responsibilities
Technical Leadership
· Lead end-to-end application delivery from requirements gathering through production deployment.
· Define solution architecture, technical standards, and development best practices.
· Conduct design reviews, code reviews, and technical discussions.
· Mentor development teams and provide technical guidance.
· Collaborate with business stakeholders, architects, product owners, and project managers.
Hands-on Development
· Actively participate in application development and contribute code for complex and critical features.
· Design and implement scalable solutions for high-priority business requirements.
· Lead troubleshooting and resolution of complex technical and production issues.
· Review and optimize application performance, security, and scalability.
· Support development teams in resolving technical blockers and challenges.
Required Technical Skills
· Sitecore XP/XM
· OutSystems
· Node.js, .NET Core, ASP.NET MVC, C#, Java
· React.js, JavaScript, TypeScript
· REST APIs, Microservices Architecture
· SQL Server, Oracle, MySQL
· Azure/AWS, CI/CD, Docker, Jenkins, Git
Candidate Profile
· 12+ years of software development experience.
· 5+ years of experience as Technical Delivery Lead or Solution Lead.
· Strong hands-on coding experience with the ability to independently deliver complex technical solutions.
· Experience leading Agile teams and managing end-to-end delivery.
· Excellent stakeholder management and communication skills.
Key Phrase
Hands-on Technical delivery Lead who is expected to contribute 30-40% of the time in coding based on the availability, solution implementation, code reviews, and complex technical problem-solving.
Job Title: Software Engineer / Senior Software Engineer – Java Backend
Experience: 5–10 Years
Location: Pune (Baner) – Work from Office (5 Days a Week)
About the Role :
We are looking for passionate Java Backend Engineers to build highly scalable, high-performance enterprise applications used by millions of users globally. The ideal candidate should have strong experience in Java, Microservices, Payment Gateway integrations, and Checkout platform development, with a product engineering mindset.
Candidates from FinTech, E-commerce, Payments, or Product-based companies will be preferred.
Key Responsibilities :
Design, develop, and maintain scalable backend applications using Java and Microservices.
Build secure, high-performance REST APIs and distributed services.
Develop and enhance Checkout platforms and Payment Gateway integrations for seamless payment processing.
Collaborate with Product, Architecture, QA, and DevOps teams throughout the SDLC.
Participate in system design, architecture discussions, and technical decision-making.
Ensure high code quality through unit testing, code reviews, and engineering best practices.
Build and support CI/CD pipelines and containerized deployments.
Troubleshoot production issues, optimize performance, and improve application reliability.
Mentor junior engineers and contribute to engineering excellence.
Required Skills :
5–10 years of backend development experience.
Strong expertise in Java, Spring Boot, Spring MVC, Hibernate/JPA.
Hands-on experience with Microservices Architecture.
Experience building RESTful APIs.
Strong knowledge of SQL/NoSQL databases.
Experience with Payment Gateway Integration (Stripe, Adyen, Razorpay, Worldpay, PayU, Checkout.com, etc.).
Hands-on experience developing Checkout and Payment Processing workflows.
Understanding of Payment Lifecycle, including Authorization, Capture, Refunds, Settlement, Webhooks, and Transaction Management.
Experience with Docker, Kubernetes, and containerized applications.
Good understanding of CI/CD pipelines using Jenkins or similar tools.
Familiarity with Git, Agile methodologies, and engineering best practices.
Strong problem-solving and debugging skills.
Preferred Skills :
Experience working in FinTech, Payments, E-commerce, or Product-based organizations.
Exposure to Cloud Platforms (GCP/AWS/Azure).
Experience with Kafka or event-driven architecture.
Knowledge of OAuth2, JWT, Keycloak, or similar authentication mechanisms.
Experience with Monitoring & Observability tools (Grafana, Prometheus, ELK, Splunk).
Performance tuning and scalability optimization experience.
Preferred Background :
Candidates from FinTech, Digital Payments, Banking Products, E-commerce, or Product Engineering companies.
Experience working on high-volume transaction systems handling secure payment processing and checkout experiences.
Job Description:
- Platform Architecture: Design and architect scalable, reliable, and high-performance solutions within the Gravity ecosystem.Provide expertise in structuring the Gravity platform, theme customization, and app integrations.
- Custom Development: Lead and participate in the development of custom features, functionalities, and applications on the Gravity platform. Collaborate with developers to ensure code quality, maintainability, and adherence to best practices.
- Integration Solutions: Develop and implement integration solutions between Gravity and third-party systems, ensuring seamless data flow and functionality.
- Performance Optimization:Analyze and optimize the performance of Gravity applications, addressing bottlenecks, and enhancing overall user experience.
- Security and Compliance: Implement robust security measures to safeguard Gravity applications and ensure compliance with industry standards and regulations.
- Technical Leadership: Provide technical leadership and guidance to the development team, fostering a culture of innovation, collaboration, and continuous improvement.
- Gravity App Development: Design and develop custom applications to enhance the functionality and features of the Gravity platform.
- Stay abreast of the latest Gravity updates, features, and best practices to ensure the platform is leveraging the latest advancements.
Desired Skills:
- Bachelor's or Master's degree in computer science, software engineering, or a related field.
- Minimum of 8 years of experience in Software Development, with at least 3 years as Software Architect.
- In-depth knowledge and hands-on experience with eCommerce architecture, customization capabilities, and application development.
- Proficient in app development, including RESTful APIs, GraphQL, and webhooks.
- Integration Proficiency: Strong expertise in integrating eCommerce with third-party systems and services.
- Performance Optimization: Demonstrated ability to optimize the performance of eCommerce applications, ensuring efficient and fast user experiences.
- Security and Compliance:Experience implementing security measures for eCommerce applications and ensuring compliance with relevant regulations.
- Leadership and Collaboration:Excellent leadership and collaboration skills, with the ability to work effectively with cross-functional teams.
Why Join Gravity:
- Embark on a journey with a forward-thinking and innovative IT technology consulting company.
- Competitive compensation package, featuring performance-based incentives.
- Prospects for career advancement within a rapidly expanding global organization.
Gravity is an equal opportunity employer. We celebrate diversity and remain committed to establishing an inclusive environment for all employees.
Company Overview:
At Baxture, we're pioneers in crafting innovative IT solutions designed to elevate businesses to new heights. With a relentless focus on quality and a dedication to customer success, we specialize in delivering tailored technology solutions that drive efficiency and foster growth. Our dynamic team of experts is committed to staying ahead of the curve, ensuring that our clients always benefit from the latest advancements in the industry. While our roots lie in the vibrant tech hub of Austin, Texas, our influence spans across continents, with a significant presence in Pune and Kashmir. With a diverse team spread across these locations, we bring together the best minds to drive innovation and deliver unparalleled results.
Job Title: Angular Developer
Location: Pune - Wakad (Work From Office)
Employment Type: Full-time
Company: Baxture Technologies
About the Role:
We are looking for a skilled Angular Developer with 1+ years of hands-on experience in building responsive, dynamic, and scalable front-end applications. The ideal candidate should have a solid foundation in Angular, TypeScript, and modern web development practices, and be capable of working independently on modules while collaborating effectively with cross-functional teams.
Key Responsibilities:
- Develop, enhance, and maintain front-end applications using Angular, TypeScript, and Angular CLI.
- Build reusable and scalable UI components following best practices.
- Integrate Angular applications with RESTful APIs and backend services.
- Collaborate with UX/UI designers to implement responsive and user-friendly interfaces.
- Optimize application performance and ensure cross-browser compatibility.
- Debug, troubleshoot, and resolve issues across devices and environments.
- Participate in code reviews and contribute to improving code quality and development processes.
- Work closely with backend, QA, and design teams to deliver high-quality releases.
- Stay updated with the latest trends in Angular and front-end technologies.
Required Skills & Qualifications:
- 1+ years of experience in front-end development using Angular.
- Strong understanding of Angular (v11+), TypeScript, and component-based architecture.
- Proficiency in HTML5, CSS3/SCSS, and responsive design principles.
- Experience with REST APIs, JSON, and HTTPClient integration.
- Working knowledge of RxJS and basic state management concepts (NgRx or similar).
- Familiarity with Git/GitHub for version control.
- Good debugging and problem-solving skills.
- Ability to write clean, modular, and maintainable code.
- Good communication and teamwork skills.
Good to Have:
- Experience with Angular Material, Bootstrap, or Tailwind CSS.
- Knowledge of unit testing frameworks like Jasmine/Karma.
- Exposure to Agile/Scrum development environment.
- Basic understanding of CI/CD pipelines and build tools.
Education:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
What We Offer:
- Opportunity to work on modern, scalable front-end applications.
- Collaborative and growth-oriented work environment.
- Mentorship and continuous learning opportunities.
- Competitive salary package based on experience.
- Career advancement opportunities within the organization.
Position Summary
We are looking for a strong hands-on Software Engineer to develop and maintain Python 3.10 backend services and FastAPI-based Backend for Frontend (BFF) for the CryoFlow platform. You will address the assigned tasks, understand the expected behavior, implement
clean and well-tested code, and validate your work end to end.
This role suits an engineer who codes well, thinks through problems methodically, learns quickly in an unfamiliar domain, and takes pride in delivering features that work reliably in real product conditions. You will work closely with senior engineers, QA and front-end developers, and will participate in client feedback meetings to understand how your work is used.
Key Responsibilities
• Contribute to the refactor of existing backend capabilities into Python 3.10 services aligned with CryoFlow architecture and deployment practices.
• Develop and maintain REST APIs, Microservices, BFF using FastAPI and Uvicorn, exposing clear APIs for product workflows, integration screens and front-end consumers.
• Follow team coding standards, branching strategy, review process and API conventions consistently
• Implement backend logic for status updates, validation, data persistence, device/session edge cases, report-generation helpers and user-facing error handling.
• Deliver assigned backlog items and tasks on schedule, with clean, readable and maintainable code.
• Participate in design discussions and reviews; propose simple, practical approaches and incorporate feedback well.
• Write and maintain tests for Python services and integration flows, including API tests, BFF route tests and mocked external calls.
• Debug across backend code, API responses, logs, databases and front-end symptoms with support from senior engineers where needed.
• Work closely with front-end developers on Angular integration and help debug integration issues.
• Collaborate with QA on test scenarios, defect reproduction and verification.
• Participate in client feedback and review meetings; understand feedback, capture action items and follow through.
Qualifications
• Bachelor’s or Master's degree in computer science, Software Engineering, Information Technology, or a related discipline.
Essential Skills
Technical Expertise
• 5+ years of hands-on software development experience in backend or API-oriented applications.
• Strong Python programming skills, ideally with Python 3.10, in backend services or APIoriented applications.
• Hands-on experience with FastAPI and Uvicorn, including route design, validation, dependency injection patterns, async behaviour and logging.
• Working experience with or exposure to BFF layers that adapt backend/domain services for front-end workflows.
• Good understanding of REST APIs, data validation, error handling and service-toservice calls.
• Awareness of Microservice architecture and the trade-offs involved in service design.
• Strong problem-solving and debugging skills across code, APIs, logs and databases.
• A practical testing mindset: unit tests, API tests, mocks/fixtures and regression checks.
• Very good written and verbal communication skills.
• Ability to work independently on assigned tasks and collaborate effectively within a team.
Preferred Skills
• Familiarity in developing software for scientific instruments, laboratory automation, imaging systems, life sciences, healthcare technologies, medical devices, industrial automation, or other hardware-integrated software platforms.
• Familiarity to Angular v.17 front-end frameworks for integration and debugging.
• Familiarity with Docker, Kubernetes, container orchestration, observability, and production monitoring.
• Experience working in regulated or quality-controlled software development environments
Strategic Partnerships Associate – AI & Platform Partnerships
Company: FreJun
Position: Strategic Partnerships Associate – AI & Platform Partnerships
Employment Type: Full-Time
Department: Strategic Partnerships
Location: Remote
Experience: 1–2+ Years of real coding/product-building experience
Fixed CTC: ₹6 – ₹10 LPA
Variable: 10–20% of fixed CTC
Reports To: Head of Partnerships
Position Overview
We are seeking a technically strong and commercially driven Strategic Partnerships Associate to join our Strategic Partnerships team and focus on building partnerships with AI platforms, AI voice-agent companies, developer platforms, automation platforms, voice technology companies, and other technology products.
The ideal candidate will have hands-on experience building and shipping software and should be comfortable understanding APIs, technical products, integrations, and AI/voice architectures.
The role involves identifying high-potential technology partners, conducting technical and commercial discussions, supporting integrations, and helping partners move from initial engagement to production usage of Teler.
This is a technical partnerships role and is not intended for candidates with only traditional sales, business development, recruitment, marketing, or general partnership experience.
Key Responsibilities
AI & Platform Partner Research
- Identify AI voice-agent platforms, AI agent platforms, LLM platforms, developer platforms, automation platforms, voice technology companies, CRM/ATS platforms, and API-first SaaS companies
- Research potential partners' products, APIs, documentation, technical architecture, and existing voice infrastructure
- Identify where Teler can fit within a partner's product or technology stack
- Evaluate technical fit, customer overlap, integration effort, and commercial potential
- Build and maintain a prioritized database of potential AI and technology partners
- Track relevant competitor integrations, partner programs, marketplace listings, and ecosystem developments
Technical Partner Qualification
- Understand what potential partners are building and how their products work
- Review their existing voice, telephony, API, and integration architecture
- Identify technical requirements, pain points, expected usage, and integration complexity
- Understand latency, reliability, scalability, and geographic requirements where relevant
- Determine whether Teler is a suitable technical and commercial fit
- Prepare structured partner briefs and opportunity assessments
Partner Outreach & Relationship Management
- Conduct targeted outreach through email, LinkedIn, developer communities, GitHub, Slack, Discord, events, and relevant ecosystem channels
- Create personalized outreach based on the partner's actual product and technical environment
- Build relationships with developers, engineers, CTOs, technical founders, and product teams
- Conduct discovery calls and document requirements, pain points, decision processes, and next steps
- Maintain structured follow-ups and move qualified opportunities toward technical evaluation
Technical Demos & Integration Support
- Conduct Teler product demonstrations and technical walkthroughs
- Explain Teler APIs, authentication, call control, media streaming, number provisioning, webhooks, and call handling
- Explain how Teler fits into AI voice-agent architectures
- Build small proof-of-concepts, reference integrations, sample applications, and API examples
- Create Postman collections, code snippets, and technical integration material
- Support partners during technical evaluation and integration
Partner Onboarding
- Manage partner onboarding from technical qualification through production
- Support sandbox and account setup
- Guide partners through API credentials, documentation, and number provisioning
- Support initial integration and testing
- Help partners reach their first successful test call
- Drive qualified partners toward their first production call
- Track integration progress, blockers, and next steps
Technical Troubleshooting
- Review API requests, responses, logs, and technical errors
- Reproduce and investigate integration issues
- Troubleshoot API and webhook-related problems
- Identify whether issues originate from partner code, Teler, or the network
- Provide clear and reproducible technical information to Engineering
- Resolve first-level technical issues without unnecessary escalation
AI Voice & Technical Architecture
- Understand AI voice-agent architecture including STT → LLM → TTS
- Understand streaming and turn-based voice interactions
- Understand barge-in, interruption handling, and function/tool calling
- Understand basic telephony concepts including SIP, DIDs, number provisioning, inbound/outbound calling, and call control
- Understand media/audio streaming, latency, and reliability considerations
- Create and explain architecture diagrams showing where Teler fits
Co-Selling & Partner Enablement
- Work with Sales and Pre-sales on partner-led opportunities
- Participate in partner-introduced customer discussions when technical support is required
- Support joint solution positioning and technical qualification
- Identify referral and co-selling opportunities
- Create integration guides, technical FAQs, architecture diagrams, demo scripts, and implementation material
- Help partners become capable of explaining and positioning Teler independently
Product Feedback & Collaboration
- Collect structured feedback from technology partners
- Identify recurring API, documentation, integration, and scalability issues
- Document partner requirements with technical and commercial context
- Work with Product and Engineering to communicate partner requirements
- Identify opportunities to reduce integration friction
Partner Operations & Reporting
- Maintain accurate CRM and partner records
- Track partner stages, technical evaluations, integrations, activations, and next steps
- Maintain visibility into partner-sourced and partner-influenced pipeline
- Prepare regular reports on outreach, qualified conversations, integrations, activations, pipeline, and blockers
- Build lightweight tools or scripts for partner research, enrichment, tracking, or reporting where useful
Required Qualifications
Experience
- Minimum 1–2 years of real hands-on experience writing code or building and shipping a software product
- Must have experience building software, integrations, applications, or technical products used by real users
- Must be able to provide evidence of work through GitHub, GitLab, portfolio, live product, production integration, or similar proof
- Must be able to clearly explain personal contribution to a project
Technical Skills
- Strong understanding of REST APIs
- API authentication
- HTTP headers and request/response structures
- HTTP status codes and error handling
- Rate limits and pagination
- Idempotency
- Webhooks and event-driven systems
- Webhook signatures and retries
- API debugging
- Postman and/or curl
- Browser DevTools
- Logs and basic observability
Programming Skills
Ability to write working code in at least one of:
- Python
- JavaScript
- TypeScript
- Go
- Java
- PHP
AI & Voice Skills
- Understanding of AI voice agents
- LLM APIs
- STT/TTS
- AI agent frameworks
- Streaming audio
- Function/tool calling
- Voice latency
- SIP/VoIP fundamentals
- DIDs and number provisioning
- Inbound/outbound calling
- Call control
- Media/audio streaming
Communication & Professional Skills
- Strong written and verbal communication
- Ability to communicate effectively with technical stakeholders
- Strong analytical and problem-solving skills
- Commercial judgement
- Strong ownership and initiative
- Ability to work independently
- Strong organization and follow-up
- Ability to manage multiple partner opportunities simultaneously
- Ability to learn new technical concepts quickly
Professional Attributes
- Builder mindset
- Technically curious
- Commercially aware
- Detail-oriented
- Proactive and self-driven
- Comfortable working without an established playbook
- Able to balance technical accuracy with business objectives
- Willing to take ownership from research through partner activation
Preferred Qualifications
- Experience with AI voice platforms or AI agents
- Experience with LLM applications
- Experience with developer platforms or API products
- Experience with CPaaS, SIP/VoIP, IVR, or contact-center technology
- Developer relations or technical community experience
- Open-source contributions
- Experience with CRM, ATS, or automation platforms
- Experience creating technical documentation
- Experience building API integrations or SDK-based integrations
Ideal Candidate Profile
The ideal candidate is a software or product builder who wants to use their technical knowledge to build AI and technology partnerships.
They should be comfortable understanding APIs and architectures, speaking with developers and CTOs, identifying strong technology partnerships, conducting technical demos, supporting integrations, and moving qualified partners toward production.
Pure sales, generalist business development, recruitment, marketing, or partnership profiles without real software-building experience will not be considered.
🚀Job Title : Senior Backend Engineer (Java / Golang) SDE 3
Experience : 5 to 12 Years
Positions : 4
Employment Type : C2H (Contract to Hire)
Contract Duration : 3 Months
Location : Remote during contract → Pune after conversion
Work Mode After Conversion : 5 Days WFO
Notice Period : Immediate / Serving Notice / Up to 15 Days preferred
Mandatory Skills : Golang (1+ year mandatory), 5+ years Backend Development, System Design, Distributed Systems, Microservices, REST / GraphQL APIs, Event-Driven Architecture, SQL & NoSQL Databases, AWS / GCP / Azure, Strong Problem-Solving & Communication Skills.
About the Role :
We are looking for an experienced Backend Engineer / SDE 3 with strong expertise in Java / Golang to design and build scalable, secure, and high-performance backend services and APIs.
The role involves hands-on coding, system design, microservices, distributed systems, and collaboration with engineering and infrastructure teams.
Must-Have Skills :
- 5+ years of backend development experience.
- Strong hands-on experience with Golang.
- Minimum 1+ year of Golang experience is mandatory.
- Strong understanding of System Design & Distributed Systems.
- Experience with REST / GraphQL APIs.
- Experience with Microservices and Event-Driven Architecture.
- Experience with Event Queues / Asynchronous Processing.
- Strong knowledge of Relational and NoSQL databases.
- Familiarity with AWS, GCP, or Azure.
- Strong communication and problem-solving skills.
Important Note for Java Candidates :
Java candidates can be considered only if they have at least 1+ year of hands-on Golang experience and are willing to work in Golang.
Candidates with less than 1 year of Golang experience will not be considered.
Good to Have :
- Experience in Fintech / Payments / Transaction-heavy systems
- Docker & Kubernetes
- Datadog / Prometheus / Grafana
- CI/CD experience
- Exposure to Java or Ruby
Key Responsibilities :
- Design, develop, and maintain scalable backend services using Golang.
- Build reliable, secure, and high-performance microservices and APIs.
- Implement event-driven and asynchronous processing systems.
- Work on system architecture, scalability, performance, and reliability.
- Participate in system design, code reviews, and technical discussions.
- Collaborate with mobile, web, and infrastructure teams.
- Develop unit, integration, and performance tests.
- Contribute to CI/CD, observability, documentation, and engineering best practices.
Interview Process :
Round 1 : Take-Home Coding Assessment – Submission within 48 hours
Round 2 : Code Pairing – Problem Extension
Round 3 : Culture Fitment
Role: Full Stack JavaScript/TypeScript Developer
We're looking for a Full Stack Developer with strong JavaScript/TypeScript fundamentals to join our team and help build AI-powered product features.
Responsibilities:
Core Skills & Competencies (Must have):
- Strong proficiency in TypeScript and solid JavaScript fundamentals
- Front-end development skills with the React ecosystem (Next.js), including state management libraries like Zustand, Redux
- Expertise in HTML/CSS, with experience creating responsive and adaptive designs
- Experience building AI-assisted features such as chatbots, content generation, semantic search, recommendations, or intelligent automation
- Experience with RESTful services and APIs
- Familiarity with AI SDKs, LLM APIs, and vector databases
- Experience with SQL and database management, understanding relational databases, and ability to write efficient and optimized queries
- Understanding of database design and management, especially with SQL
- Experience with version control systems such as Git
Desired Skills & Competencies (Nice to have):
- Experience with event-driven architecture
- Experience with cloud services like Azure or AWS
- Familiarity with modern DevOps practices
- Understanding of security practices and web application security
- Familiarity with CI/CD pipelines
What we're looking for:
- Strong command over JS/TS fundamentals, not just framework-level knowledge
- Candidates with internship experience or a background from a reputed engineering college preferred
- Please share your GitHub link, portfolio, or details of projects you've built (personal, academic, or professional)
About the role
We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.
Responsibilities
- Build and iterate on prompt pipelines and multi-agent workflow components
- Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
- Deploy and serve open-source models set up inference endpoints, manage GPU compute, and optimize for latency and cost
- Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
- Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
- Debug and maintain pipeline stages in production
What you bring:
- (1+/3+) years of engineering experience, or a strong portfolio of shipped projects
- Solid Python fundamentals clean, working, readable code
- Hands-on experience with LLM APIs and prompt engineering (personal projects count)
- Comfort with Git, REST APIs, and working in a Linux environment
- A feel for content and narrative you can judge whether generated output is actually good, not just valid
- Curiosity and clear communication you ask good questions and don't stay stuck silently
Preferred
- Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI)
- Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
- Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
- Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
- Experience writing evals or LLM-as-judge scoring
- Node.js and Fastapi familiarity, or experience deploying on AWS

AI-driven multimedia,content analysis,monetization platform
Role overview
The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.
We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.
This is not a CRUD‑only backend role.
You will work on:
- long‑running jobs
- distributed processing
- GPU inference orchestration
- storage for embeddings and metadata
- integration with AI models
- reliability and observability at scale
Key responsibilities
Media ingestion & processing pipelines
- Design and implement ingestion pipelines for multi‑hour video and audio content.
- Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
- Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
- Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.
API & platform architecture
- Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
- Define clear contracts for internal services and external integrations.
- Implement authentication, authorisation and rate‑limiting for platform endpoints.
- Ensure backward‑compatible API evolution as the product matures.
Model‑serving & AI integration
- Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
- Design request/response flows that handle large payloads, streaming outputs and structured results.
- Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
- Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.
Storage, data models & performance
- Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
- Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
- Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
- Optimise performance for large datasets and high‑volume workloads.
Reliability, observability & operations
- Implement logging, metrics and tracing across services for debugging and monitoring.
- Set up health checks, circuit breakers and graceful degradation for critical services.
- Work with CI/CD pipelines to ensure safe, repeatable deployments.
- Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.
Requirements (must‑have)
Experience:
- 4–8 years in backend or platform engineering.
- At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).
Languages & frameworks:
- Strong proficiency in Python or Node.js (one primary, both are a plus).
- Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).
Distributed systems & pipelines:
- Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
- Experience building asynchronous, long‑running job pipelines.
- Understanding of idempotency, retries, backoff, and failure handling.
APIs & integration:
- Strong experience designing and implementing REST APIs (gRPC is a plus).
- Experience integrating with external services and handling network‑level failures.
Cloud & infrastructure:
- Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
- Experience with Docker; exposure to Kubernetes is a strong plus.
Data & storage:
- Experience with SQL and at least one NoSQL store.
- Ability to design schemas and data models for performance and maintainability.
Engineering quality:
- Strong debugging skills across services and environments.
- Experience with unit/integration tests for backend systems.
- Clear, structured communication in English.
Nice‑to‑have
- Experience with media/video processing (FFmpeg, transcoding, segmenting).
- Experience with AI/ML model integration (serving models, handling inference requests).
- Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
- Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
- Experience working with remote teams across time zones.
What we are explicitly NOT looking for
To reduce noise and mismatches, we are not looking for:
- Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
- Engineers who have only worked on small, single‑service apps without scale or complexity.
- Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
- Candidates who are uncomfortable with ownership of subsystems end‑to‑end.
Why join us
- Work on real, complex problems at the intersection of media, AI and distributed systems.
- Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
- Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
- Operate with high ownership, clear expectations and direct access to the CTO.
Hiring for Java Full Stack Developer
Exp : 6 - 10 yrs
Edu : BE/B.tech
Work Location : Pune WFO
Skills :
Minimum 6 years of experience in software development, with a strong focus on Java/J2EE technologies, and at least 2 years in a leadership role
.Must-Have Skills:
Expertise in Java, Spring Boot, Hibernate, and RESTful API development.
Hands-on experience in designing and implementing microservices.
Proven leadership skills with experience managing a team of developers
.Familiarity with cloud platforms (e.g., AWS, Azure, or GCP).
Experience with CI/CD tools and Agile/Scrum methodologies.
Strong proficiency in PostgreSQL and PL/pgSQL, including writing stored procedures, functions, and triggers, along with schema design, query optimisation, and performance tuning.
Title: AI/ML Test Engineer – GenAI
Location - Hyderabad
Experience - 1-3 years
Technical Skills -
• Strong experience in Generative AI, LLMs, and Agentic AI systems
• Hands-on expertise with AI evaluation frameworks (RAGAS, DeepEval, TruLens, LangSmith, Promptfoo, etc.)
• Proficiency in Python and AI/ML development libraries
• Knowledge of Prompt Engineering, prompt testing, and optimization
Ability to define and track evaluation metrics such as accuracy, relevance, groundedness, hallucination rate, latency, and user satisfaction
• Experience in creating automated evaluation pipelines and benchmarking frameworks
• Strong understanding of AI safety, guardrails, bias testing, and responsible AI practices
• Familiarity with REST APIs, JSON, vector databases, and knowledge retrieval systems
• Experience in A/B testing, human-in-the-loop evaluation, and red teaming
• Strong experience in Manual Testing of AI/GenAI applications, including functional, exploratory, UAT, regression, and end-to-end testing
• Expertise in validating Agent Reasoning, Tool Calling, Workflow Execution, and Response Quality
• Hands-on experience in Automation Testing using Python frameworks
Key Responsibilities -
- Design, execute, and automate evaluation strategies for Agentic AI applications.
- Develop evaluation datasets, test cases, and benchmark suites.
- Measure and improve agent performance, reasoning quality, tool usage, and workflow effectiveness.
- Analyze model outputs and identify hallucinations, biases, safety risks, and failure patterns.
- Collaborate with AI Engineers, Product Teams, and Domain Experts to improve agent quality and reliability.
- Generate evaluation reports, dashboards, and actionable recommendations.
About NonStop io Technologies:
NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud
group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment
Brief Description:
NonStop io is seeking a proficient React.js developer to join our front-end development team. In this position, you’ll be mainly crafting and integrating UI components through React.js methodologies and workflows like Mobx and Redux.
Responsibilities:
● Developing and implementing UI components using React.js
● Collaborating with cross-functional teams to design and ship new features
● Building reusable components and front-end libraries for future use
● Translating designs and wireframes into high-quality code
● Optimizing components for maximum performance across various web browsers
● Troubleshooting and debugging issues to ensure smooth user experiences
● Participating in code reviews to maintain code quality and consistency
● Improvement and optimization of existing codebase
● Keeping up with industry trends
● Identifying issues with technologies and architecture and then implementing solutions
● Assist with ticket creation, refinement, and estimation
● Participate in sprint planning and ticket distribution for frontend team
Qualifications & Skills:
● Proficiency in React.js and its core principles
● Strong JavaScript, TypeScript, HTML5, and CSS3 skills
● Experience with popular React.js state management libraries and approaches (such as Mobx, Redux, and Context API)
● Familiarity with RESTful APIs and integration
● Knowledge of modern authorization mechanisms, such as JSON Web Tokens
● Understanding of front-end build tools and pipelines
● Familiarity with any one of backend technologies such as Node.js, Java, or Python
● Excellent problem-solving and communication skills
● A strong attention to detail, and a passion for delivering high-quality code
● Expertise in designing scalable and efficient front-end architecture
● Adaptability to changing project requirements and priorities
● Experience with version control systems, particularly Git
● Experience working in Scrum and familiarity with Atlassian (Jira, Confluence, Bitbucket)
● Experience with diverse applications and architectural patterns
● A degree in computer science, software engineering, or a related field
● Strong understanding of object-oriented programming principles and design patterns
● Familiarity with automated testing frameworks and methodologies
● Excellent problem-solving skills and attention to detail
● Strong communication skills and ability to work effectively in a collaborative team environment
● Ready to be a tech-agnostic engineer and comfortable to shift on any tech stack
● Comfortable working with AI (Claude code, Cursor etc)
If you're passionate about technology and want to work on impactful projects, we'd love to hear from you
Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.
Our Culture
Who we are:
Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.
How we work:
- We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
- Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
- Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
- We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
- We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.
About the Role
We're looking for a Forward Deployed Engineer to join our Pune HQ2 team and work at the intersection of cutting-edge AI and complex enterprise software. You'll embed directly with customer engineering teams, writing production code, architecting solutions, and helping customers transform how they build software with Blitzy.
This isn't a traditional solutions engineering role. We're looking for a hands-on engineer who thrives in ambiguous environments and is equally comfortable debugging integrations, building Java/Spring Boot services, participating in sprint planning, or whiteboarding architecture with a CTO.
The role centers on our Java/Spring Boot enterprise stack, spanning REST services, event-driven microservices, integrations, and production operations. You'll work closely with US-based engineering and customer teams, with regular time zone overlap for collaboration and handoffs.
You'll also influence our product roadmap through direct customer feedback, identifying new use cases and technical challenges that shape Blitzy's evolution. High performers may have opportunities to visit our Cambridge, MA headquarters and transition into core product or platform engineering as we scale.
Responsibilities
- Deploy Blitzy into complex enterprise environments, navigating technical constraints and translating customer business goals into practical technical solutions
- Embed with customer teams during critical implementations, partnering with engineering leaders on sprint planning, architecture reviews, technical decisions, and production deployments
- Build production-quality integrations, services, and extensions using Java 17 and Spring Boot 3.x, including Spring MVC, Spring Data JPA, Spring Security, and Actuator
- Build and evolve REST APIs using a contract-first approach with OpenAPI/Swagger, with data persistence through PostgreSQL, Hibernate/JPA, and Liquibase
- Package and deploy containerized services with Docker and manage dependencies through Maven, including BOMs and multi-module projects
- Develop custom solutions, reusable patterns, scripts, and tools that accelerate customer adoption and demonstrate Blitzy’s capabilities in enterprise environments
- Debug complex issues spanning customer infrastructure, integrations, microservices, and the Blitzy platform, supporting production operations, health checks, metrics, and configuration management
- Drive successful POCs and technical demonstrations that showcase advanced use cases, deliver measurable value, and expand into enterprise-wide deployments
- Maintain high standards for testing, code quality, performance, and observability using JUnit 5, Cucumber/Gherkin, JMeter, Git, Logback/SLF4J, SpotBugs, and SonarQube
- Identify recurring customer needs, technical patterns, and expansion opportunities that inform product priorities and enterprise adoption
- Collaborate with product and engineering teams to translate field experience into platform improvements, technical documentation, reusable best practices, and contributions to the core product
Qualifications
- 8+ years of software engineering experience with a track record of shipping production code in enterprise environments
- Recent or past experience in global technology consulting environments, with direct engagement with the customer's engineering leadership teams.
- Deep hands-on expertise with Java 17, Spring Boot 3.x, Spring MVC, Spring Data JPA, Spring Security, Hibernate/JPA, and Actuator
- Strong experience with REST APIs, OpenAPI/Swagger, PostgreSQL, Liquibase, Maven, Docker, and modern testing practices including JUnit 5, Cucumber/Gherkin, and JMeter
- Experience building and operating microservices with CI/CD, cloud architecture, observability, production monitoring, and tools such as Micrometer, Dynatrace, SpotBugs, and SonarQube
- Knowledge of enterprise modernization and distributed systems, including Java 8 → Java 17 upgrades, monolith → microservices migrations, Kafka, Avro, Schema Registry, caching, and resilience patterns
- Strong understanding of Agile/Scrum and modern software development practices, with the ability to communicate complex technical concepts to audiences ranging from interns to CTOs
- Experience in customer-facing engineering, developer tools, AI/ML, or enterprise modernization is a plus, along with technical thought leadership through blogs, talks, or open-source contributions
- Passion for AI-powered software development and willingness to work in person from Pune, India, with overlap for US-based teams
U.S. GenAI startup, Pune Office, Private Limited Company
Full Time Employment directly to our Private Limited Company. We are committed to an enduring and robust presence in Pune. Our goal is to enable you to have a long enduring career at Blitzy with opportunity for advancement throughout your career at the company. If you want a role you can turn into a career, read on! If you are looking for a short term arrangement, we recommend you look elsewhere!
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.
About the role
We are building AI systems that read, understand and act on real business documents, bank statements, financial reports, policy documents and forms and putting them into production where accuracy and cost both matters.
This is not a research role and it is not a prompt-writing role. You will own features end to end: pick and deploy open-source models, build the pipelines around them, measure whether they actually work on our documents, drive the cost per document down, and keep the whole thing running in production.
You will work closely with the engineering and product teams, and your work will be directly used by business users from day one.
What you will do
Deploy and evaluate open-source models
- Select, deploy and benchmark open-source LLMs and vision-language models for specific, narrow use cases not general chat.
- Build evaluation sets from real documents and define what "good" means numerically (field-level accuracy, extraction recall, hallucination rate) before shipping.
- Run structured comparisons between models and approaches, and write up the trade-offs so the team can make a decision.
- Apply quantization, batching and other optimizations to fit models into a sensible GPU budget.
Build and optimize AI orchestration
- Design multi-step pipelines that combine deterministic code, ML models and LLM calls and know when not to use an LLM.
- Optimize for latency, cost and reliability: caching, batching, request routing, fallback tiers, retries and graceful degradation.
- Instrument pipelines so failures are visible and traceable rather than silent.
Ship to production
- Package models and services with Docker, expose them behind clean APIs, and deploy them to our GPU and CPU infrastructure.
- Handle the unglamorous production concerns: cold starts, timeouts, concurrency limits, versioning, rollback and monitoring.
- Own on-call-style responsibility for the AI features you build, including cost tracking.
Must-have skills
Programming & engineering
- Strong Python: type hints, async/await, dataclasses/Pydantic, clean module design, testing.
- REST API development with FastAPI (or Flask/Django with a willingness to move to FastAPI).
- Git, code review discipline, and the ability to write code someone else can maintain.
- Comfortable in Linux and on the command line.
Machine learning fundamentals
- Working knowledge of PyTorch and the Hugging Face ecosystem (transformers, tokenizers, accelerate).
- Understanding of inference-time concepts: tokenization, context windows, batching, precision (FP16/BF16/INT8), memory footprint.
- Ability to read a model card and a paper well enough to judge whether a model fits a use case.
Document processing
- Hands-on experience with at least two of: pypdfium2, PyMuPDF, pdfplumber, pdfminer.six, Docling, Unstructured, Surya, DocTR, LayoutLM family.
- Practical OCR experience (Tesseract, PaddleOCR, or a cloud OCR) and an understanding of when OCR is the wrong tool.
- Experience extracting tables from PDFs and dealing with merged cells, multi-line rows, and inconsistent column layouts.
Strongly preferred
You will be a much stronger candidate with any of these. We do not expect all of them.
Model serving & optimization
- vLLM, TGI, Ollama, llama.cpp, or Triton Inference Server.
- Quantization formats and tooling: GGUF, AWQ, GPTQ, bitsandbytes, ONNX Runtime, INT8 export.
- Serverless GPU platforms: Modal, RunPod, Replicate, Baseten including cold-start and container-lifecycle management.
- LoRA / QLoRA fine-tuning with PEFT for narrow, task-specific improvements.
Vision-language models
- Practical use of open VLMs: Qwen2.5-VL, InternVL, Granite Vision, Molmo, Phi-Vision, or similar.
- Awareness of where VLMs hallucinate especially on numeric and financial content and patterns for constraining them (using the model for layout only, sourcing values from the text layer, constrained decoding).
Orchestration & pipelines
- Workflow orchestration: Dagster, Airflow, Prefect, or Temporal.
- Async job patterns: Celery, RQ, or platform-native spawn/poll patterns.
- LLM orchestration frameworks (LangGraph, LlamaIndex, Haystack) with the judgement to know when plain Python is a better answer.
- Structured output enforcement: Instructor, Outlines, XGrammar, JSON schema / tool-use modes.
Evaluation & observability
- Building golden datasets and regression suites for extraction tasks.
- Eval tooling: promptfoo, DeepEval, Ragas, or in-house harnesses.
- LLM tracing and monitoring: Langfuse, Arize Phoenix, LangSmith, OpenTelemetry.
Nice extras
- Rule engines and policy evaluation (Open Policy Agent / Rego, Drools, rule-engine).
- Experience in fintech, lending, insurance or accounting documents.
- Handling of PII and data-security practices in document pipelines.
- Contributions to open-source ML or document-processing projects.
Why join us
- Real production ownership from month one your work goes to actual users, not a demo.
- Genuinely hard technical problems in document AI, not wrappers over an API.
- Small team, short decision cycles, direct access to leadership.
- Budget and freedom to evaluate and adopt new open-source models as they land.
To apply: send your CV along with a short note on one AI system you have taken to production what it did, what the accuracy was, and what broke.
About AimInfologics
AimInfologics is a software development company based in Gujarat, India. We build mobile apps, web platforms, SaaS products, AI integrations, automation systems, and custom software solutions for clients in India and international markets.
We are looking for a Full Stack Developer who has strong hands-on experience with Node.js and Next.js and can work on real client projects with ownership.
Role: Full Stack Developer – Node.js & Next.js
Job Type: Full-time
Location: Ahmedabad, Gujarat / On-site
Experience: 2–5 years preferred
Salary: As per experience and practical skill level
Role Description :
The selected developer will work on web applications, admin panels, APIs, SaaS platforms, CRM systems, dashboards, and AI-integrated software products.
This role is suitable for someone who can handle both frontend and backend work, understand requirements properly, write clean code, debug issues, and deliver features with proper quality.
We are not looking for someone who only knows basic tutorials. We need someone who has worked on real projects and can take responsibility for modules independently.
Key Responsibilities
• Develop and maintain web applications using Next.js
• Build backend APIs using Node.js and Express.js
• Work with MongoDB and database-driven application logic
• Create clean, responsive, and user-friendly frontend screens
• Integrate third-party APIs, payment gateways, AI APIs, CRM tools, and cloud services when required
• Write clean, reusable, and maintainable code
• Debug bugs, performance issues, and production-level problems
• Coordinate with UI/UX designers, backend developers, mobile developers, and project managers
• Understand client requirements and convert them into working features
• Use Git properly for code management and team collaboration
• Deploy or support deployment on platforms such as Vercel, AWS, or similar environments
Required Skills
• Strong experience with Node.js
• Strong experience with Next.js and React.js
• Good knowledge of JavaScript and TypeScript
• Experience with MongoDB and database design basics
• Good understanding of REST APIs
• Experience with Express.js or similar backend frameworks
• Ability to integrate third-party APIs
• Good understanding of authentication, authorization, JWT, roles, and permissions
• Basic understanding of cloud deployment, Vercel, AWS, Nginx, or PM2 is a plus
• Good debugging and problem-solving skills
• Ability to write clean and structured code
• Basic understanding of UI/UX and responsive design
• Good communication and team coordination skills
Good to Have
• Experience with AI API integrations such as OpenAI or similar tools
• Experience with payment gateways
• Experience with SaaS, CRM, ERP, dashboards, or admin panel development
• Experience with server deployment and production issue handling
• Experience working with international client projects
Who Should Apply
Apply only if you are serious about full-time work and can take ownership of development tasks.
This role is best for someone who wants to grow as a strong full stack developer and work on real business applications, SaaS products, AI-based systems, and international client projects.
Hiring Process
- Profile screening
- Technical interview
- Practical task / code review
- Final discussion
While applying, please mention:
• Your total experience
• Projects you have worked on using Node.js and Next.js
• Current salary
• Expected salary
• Notice period
• GitHub / portfolio link, if available
We are looking for a skilled Fullstack Developer with at least 10 years of experience building and maintaining responsive, scalable web applications. You will work across a full technology stack, from crafting intuitive React.js user interfaces to designing and implementing robust backend services with Node.js and PostgreSQL. This role requires strong proficiency in React.js, JavaScript/TypeScript, and the ability to collaborate closely with designers, backend engineers, and product managers to deliver exceptional end-to-end product experiences.

Global digital engineering and technology services company
Role: Fullstack .NET Engineer- Angular
Experience: 10+ Years
Employment Type: Full-time
Location: Pune, Balewadi, Laxman Nagar (Hybrid)
Job Description
About the Role
We are looking for an experienced Fullstack .NET Engineer to join our engineering team. You will design, build, and maintain scalable, cloud-based applications end to end — from robust .NET Core APIs and services to responsive Angular front-ends deployed on AWS. Beyond hands-on delivery, you will help champion the responsible adoption of AI-assisted engineering practices across teams, raising the bar on productivity, quality, testing, documentation, onboarding, and delivery efficiency.
This role suits a senior engineer who combines deep technical craftsmanship with strong communication and a collaborative mindset, and who is eager to shape how modern, AI-augmented software is built at scale.
Key Responsibilities
- Design, develop, test, and maintain end-to-end features across the stack using .NET, .NET Core, and modern front-end technologies.
- Build and integrate secure, high-performance RESTful APIs and microservices.
- Develop responsive, maintainable user interfaces using Angular and modern JavaScript/TypeScript.
- Build, Deploy, and operate applications on AWS, leveraging core cloud services for compute, storage, messaging, and observability.
- Adoption of AI-assisted engineering practices across teams to improve productivity, code quality, testing, documentation, onboarding, and overall delivery efficiency.
- Write clean, well-tested, and well-documented code; contribute to automated testing and CI/CD pipelines.
- Collaborate closely with product managers, designers, and fellow engineers to translate requirements into reliable software.
- Participate in code reviews, technical design discussions, and continuous improvement of engineering standards.
- Mentor peers and help onboard new team members, sharing best practices and knowledge.
Required Skills & Experience
- ~10 years of professional software engineering experience in Fullstack development.
- Strong hands-on expertise in .NET and .NET Core with understanding of design patterns.
- Proven experience in API development (RESTful services, microservices, integrations).
- Strong experience in Docker and Containerization.
- Experience working with code quality tools (Ex.- SonarQube, Veracode), familiarity with secure code writing best practices.
- Strong analytical and troubleshooting skills using tools like CloudWatch, Datadog.
- Solid front-end development skills with Angular and JavaScript/TypeScript.
- Practical experience building and deploying applications using AWS services.
- Strong understanding of software design principles, data structures, and testing practices.
- Hands-on experience with AI coding assistants and applying them within team workflows.
- Excellent communication skills — able to collaborate effectively and articulate technical concepts clearly.
- Experience working in Agile/Scrum delivery environments.
- Interest in and openness to adopting AI-assisted engineering tools and practices responsibly.
Nice to Have
- Familiarity with CI/CD tooling and infrastructure-as-code.
- Exposure to SQL and NoSQL databases and performance tuning.
- Knowledge of Three.js/Babylon.js, 3D graphics development, and vector mathematics for building interactive, high-performance web-based visualization applications.
AI Engineer (Preferred Years of Experience: 8 years)
We are seeking a highly skilled Full Stack AI Engineer to design, build, and scale intelligent applications across the full technology stack. This role combines strong backend and frontend engineering expertise with applied AI/ML implementation in enterprise cloud environments.
You will work closely with product managers, architects, data scientists, and DevOps teams to deliver production-grade AI-powered solutions that are secure, scalable, and aligned with business objectives.
This is a hands-on engineering role requiring experience across application development, AI model integration, cloud architecture, and DevSecOps practices.
Key Responsibilities
AI / Machine Learning
- Design and implement AI/ML solutions for real-world business use cases.
- Integrate ML models (e.g., forecasting, classification, NLP, computer vision) into production-grade applications.
- Develop APIs and services that expose AI capabilities securely and efficiently.
- Optimize model performance, latency, scalability, and monitoring in production.
- Implement model lifecycle management (training, deployment, monitoring, retraining).
Backend Development
- Design and develop scalable RESTful and/or GraphQL APIs.
- Build microservices-based architectures.
- Implement authentication, authorization, and secure API access.
- Develop data pipelines and integrate with structured and unstructured data sources.
- Ensure high availability, performance tuning, and observability.
Frontend Development
- Develop responsive, user-friendly web applications.
- Build interactive dashboards and AI-driven user experiences.
- Integrate frontend applications with backend AI services.
- Ensure accessibility, usability, and performance optimization.
Cloud & DevOps
- Deploy applications and models in cloud environments (Azure, AWS, or GCP).
- Implement CI/CD pipelines for application and model deployment.
- Apply infrastructure-as-code (Terraform, ARM, Bicep, etc.).
- Implement monitoring, logging, and alerting.
- Ensure security compliance and enterprise-grade governance.
Architecture & Collaboration
- Participate in solution architecture and design discussions.
- Translate business requirements into technical solutions.
- Collaborate with cross-functional teams (product, security, data, UX).
- Contribute to technical standards, best practices, and code reviews.
Required Qualifications
- 8 years of full stack software engineering experience.
- Hands-on AI/ML implementation in production environments.
- Strong proficiency in: Python (FastAPI, Flask, or Django), JavaScript/TypeScript (React, Angular, or Vue), REST API development
- Experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).
- Experience deploying AI workloads in cloud environments (Azure ML, SageMaker, Vertex AI, etc.).
- Experience with relational and NoSQL databases.
- Strong understanding of software engineering principles and design patterns.
- Experience with Docker and container orchestration (Kubernetes preferred).
- Knowledge of secure coding practices and enterprise security standards.
Preferred Qualifications
- Experience with enterprise AI governance and responsible AI frameworks.
- Experience with MLOps and model monitoring tools.
- Knowledge of distributed systems and event-driven architectures.
- Experience with vector databases and semantic search (if applicable to organization).
- Experience in regulated industries (financial services, healthcare, public sector).
- Experience working in Agile/Scrum teams.
Key Competencies
- Strong problem-solving and analytical skills.
- Ability to translate complex AI concepts into scalable technical solutions.
- Excellent communication and stakeholder engagement skills.
- Ownership mindset with the ability to operate independently.
- Strong attention to performance, security, and maintainability.
🚀 Job Title : Android Developer – SDE 2
Experience : 3+ Years
Job Location : Whitefield, Bengaluru, Karnataka (On-site)
Working Days : 5 Days a Week
Notice Period : Immediate to 15 Days
Interview Process : 2 to 3 Client Rounds
About the Role :
We are looking for a skilled Android Developer – SDE 2 with 3+ years of hands-on experience in building, optimizing, and maintaining high-quality Android applications.
The ideal candidate should have strong expertise in Kotlin, Android SDK, Coroutines, Kotlin Flow, Android Architecture Components, Dependency Injection, REST APIs, and performance optimization.
The candidate will work closely with product managers, designers, and engineering teams to develop scalable, reliable, and user-friendly mobile applications.
Mandatory Skills :
Kotlin, Android SDK, Kotlin Coroutines, Kotlin Flow, MVVM, LiveData, Room, View Binding, Data Binding, Dagger / Hilt, ANR & Memory Leak Resolution, RecyclerView Optimization, REST APIs, JSON / Proto, Unit & Integration Testing, Git, Jenkins, Android Architecture & Design Patterns.
Key Responsibilities :
- Design and develop scalable, high-performance Android applications using Kotlin.
- Implement features using Kotlin Coroutines, Flow, MVVM, Room, LiveData, View Binding, and Data Binding.
- Identify and resolve ANRs, memory leaks, crashes, and performance bottlenecks.
- Implement Dependency Injection using Dagger / Hilt and follow clean architecture and coding best practices.
- Integrate REST APIs, JSON / Proto, and optimize RecyclerView / UI performance.
- Write and maintain unit and integration tests to ensure application quality and stability.
- Collaborate with Product, Design, QA, and Engineering teams in an Agile environment.
- Participate in code reviews, technical documentation, and continuous improvement initiatives.
- Stay updated with modern Android technologies; Kotlin Multiplatform (KMP) experience is a strong plus.
Mandatory Skills :
- 3+ years of professional Android development experience.
- Strong proficiency in Kotlin.
- Hands-on experience with Kotlin Coroutines and Kotlin Flow.
- Strong knowledge of Android SDK and Android Studio.
- Experience with MVVM, LiveData, Room, View Binding, Data Binding.
- Strong understanding of Android application architecture and design patterns.
- Hands-on experience with ANR detection and resolution.
- Hands-on experience with memory leak detection and resolution.
- Experience with Dagger / Hilt or other Dependency Injection frameworks.
- Strong experience in RecyclerView optimization.
- Experience with RESTful APIs, JSON, and/or Protocol Buffers (Proto).
- Experience writing unit and integration tests.
- Strong knowledge of Git.
- Experience with CI/CD tools such as Jenkins.
- Strong debugging, problem-solving, and analytical skills.
- Good understanding of software design principles and coding best practices.
- Strong communication and collaboration skills.
Good to Have :
- Hands-on experience with Kotlin Multiplatform (KMP) will be a strong advantage.
- Experience working on large-scale consumer-facing mobile applications.
- Experience with performance profiling and Android debugging tools.
- Experience working in Agile/Scrum development environments.
What We’re Looking For :
- Strong ownership and accountability for deliverables.
- Ability to work independently as well as collaboratively within a cross-functional team.
- Strong attention to detail and focus on application quality.
- Ability to work in a fast-paced environment and adapt to changing priorities.
- Passion for building high-quality, scalable, and reliable mobile applications.
About NonStop io Technologies
NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.
Brief Description
We are looking for a passionate and experienced Backend Engineer (Python) to join our engineering team. The ideal candidate will have strong expertise in backend development, API design, scalable application architecture, and SaaS applications, along with exposure to data processing, ETL workflows, and data integration. Familiarity with React and frontend technologies is an added advantage.
You will collaborate with cross-functional teams to build, enhance, and maintain robust, secure, and high-performance applications while contributing to backend services, data workflows, and cloud-based systems.
Roles and Responsibilities
- Design, develop, and maintain scalable and high-performance web applications and backend services.
- Develop secure, efficient, and reliable backend services and RESTful APIs using Python.(Django/Flask)
- Design and implement scalable microservices and distributed application components.
- Collaborate with frontend engineers and contribute to React-based features or integrations when required.
- Develop, maintain, and support ETL/data processing workflows for extracting, transforming, and loading data across systems.
- Build Python-based data processing scripts, services, and integrations to support application and business requirements.
- Work with relational databases to support data extraction, transformation, validation, and loading processes.
- Collaborate with data and engineering teams to improve data quality, reliability, and processing efficiency.
- Work closely with product managers, designers, QA engineers, DevOps, data engineers, and other stakeholders to deliver high-quality features.
- Write clean, maintainable, reusable, and testable code following software engineering best practices.
- Participate in code reviews and contribute to coding standards, engineering practices, and technical improvements.
- Optimize applications, APIs, databases, ETL processes, and backend services for performance, reliability, and scalability.
- Troubleshoot, diagnose, and resolve application, data processing, and production issues.
- Contribute to system architecture, technical design decisions, and continuous improvement initiatives.
- Develop and maintain automated tests to ensure application quality and reliability.
- Collaborate with DevOps teams to support CI/CD pipelines, containerized deployments, cloud-based applications, and deployment automation.
- Monitor and support backend services and data workflows in development, staging, and production environments
Requirements
- 3 to 6 years of professional experience in Backend Development using Python.
- Strong hands-on experience with Python backend frameworks such as Django and Flask.
- Experience building and supporting SaaS applications, with exposure to microservices, caching, pub-sub, messaging technologies, RESTful APIs, and distributed systems.
- Exposure to ETL processes, data pipelines, data integration, or data processing using Python. (Preferred)
- Understanding of ETL concepts such as data extraction, transformation, validation, loading, and data quality.(Preferred)
- Experience working with relational databases, preferably PostgreSQL, for application development and/or data processing workflows.
- Strong understanding of databases such as PostgreSQL, MySQL, MongoDB, or SQL Server.
- Familiarity with frontend technologies, particularly React, is an advantage.
- Experience with version control systems such as Git.
- Exposure to technologies such as Kafka, Redis, Elasticsearch, Redshift, Nginx, and GraphQL is a plus.
- Exposure to data technologies or tools such as Airflow, Pandas, SQLAlchemy, Spark, or similar data processing frameworks is a plus.
- Strong foundation in computer science, including data structures, algorithms, object-oriented programming, and software design principles.
- Familiarity with CI/CD pipelines and tools such as Jenkins.
- Good understanding of cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of software design principles, scalable application architecture, and data structures.
- Experience with containerization technologies such as Docker.
- Knowledge of automated testing frameworks and best practices.
- Experience working in Agile/Scrum environments.
- Strong problem-solving, analytical, communication, and collaboration skills.
Why Join Us?
- Opportunity to work on a cutting-edge healthcare product
- A collaborative and learning-driven environment
- Exposure to AI and software engineering innovations
- Excellent work ethic and culture
If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!
About the role
We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.
Responsibilities
- Build and iterate on prompt pipelines and multi-agent workflow components
- Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
- Deploy and serve open-source models set up inference endpoints, manage GPU compute, and optimize for latency and cost
- Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
- Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
- Debug and maintain pipeline stages in production
What you bring:
- (1+/3+) years of engineering experience, or a strong portfolio of shipped projects
- Solid Python fundamentals clean, working, readable code
- Hands-on experience with LLM APIs and prompt engineering (personal projects count)
- Comfort with Git, REST APIs, and working in a Linux environment
- A feel for content and narrative you can judge whether generated output is actually good, not just valid
- Curiosity and clear communication you ask good questions and don't stay stuck silently
Preferred
- Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI)
- Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
- Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
- Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
- Experience writing evals or LLM-as-judge scoring
- Node.js and Fastapi familiarity, or experience deploying on AWS
Role Summary:
We are looking for an experienced Snowflake Lead to lead the design, development, migration, and optimization of enterprise data platforms using Snowflake. The candidate will provide technical leadership to data engineering teams and work closely with architects, business stakeholders, and application teams.
Key Responsibilities
- Lead the architecture and development of scalable Snowflake data warehouse solutions.
- Design and develop scalable Azure Data Factory (ADF) pipelines for API-based and batch data ingestion, implementing parameterized workflows, scheduling, and error handling.
- Build and optimize enterprise Snowflake data warehouse solutions using Snowflake SQL, Streams, Tasks, Stored Procedures, VARIANT data type, and LATERAL FLATTEN for semi-structured JSON processing.
- Integrate GraphQL and REST APIs using OAuth 2.0, implementing secure API authentication, JSON parsing, and API validation using Postman.
- Develop cloud-based data ingestion solutions using Azure Data Lake Storage Gen2 (ADLS) as the landing layer and Azure Key Vault for secure credential management.
- Design metadata-driven ELT frameworks with incremental loading, audit logging, watermark processing, and automated data orchestration.
- Optimize Snowflake performance through warehouse sizing, query tuning, clustering strategies, Time Travel, Cloning, and warehouse management best practices.
- Collaborate with DevOps teams using Azure DevOps for source control, CI/CD deployment, release management, and Agile delivery.
- Design dimensional data models, build curated data marts, and support enterprise reporting and analytics requirements.
- Develop and maintain Power BI semantic models, datasets, dashboards, and reports; knowledge of DAX, Power Query, and data visualization best practices is preferred.
- Work closely with business stakeholders, solution architects, and cross-functional teams to deliver secure, scalable, and high-performance cloud data platform solutions.
Thanks,
Mounika P
Position: Software Developer - Golang and Angular
Location: Baner, Pune (Hybrid)
Employment Type: Full-Time
Role Summary
Key Responsibilities
Design, develop, and maintain scalable backend applications using Golang.
Develop and maintain RESTful APIs and microservices.
Build and maintain frontend applications using Angular, TypeScript, JavaScript, HTML, and CSS.
Develop cloud-native solutions using AWS, including AWS Lambda and other serverless services where appropriate.
Integrate applications with SQL/NoSQL databases and third-party services.
Write clean, maintainable, and testable code following coding standards and best practices.
Participate in solution design, code reviews, and technical discussions.
Troubleshoot and resolve application and production issues.
Collaborate with Product Owners, QA engineers, and development teams across India and Japan.
Participate in Agile ceremonies including sprint planning, estimation, reviews, and retrospectives.
Mandatory Technical Skills:
Strong hands-on experience with Golang.
Experience designing and developing RESTful APIs and backend services.
Good experience with Angular, TypeScript, JavaScript, HTML5, and CSS3.
Hands-on experience with AWS Cloud, including:
o AWS Lambda
o API Gateway
o Amazon S3
o IAM
o CloudWatch
Experience working with at least one SQL or NoSQL database.
Good understanding of concurrency concepts in Go (goroutines, channels) and. Go best practices.
Experience with Git and collaborative development workflows.
Strong understanding of object-oriented principles, design patterns, and microservices architecture.
Experience working in an Agile/Scrum development environment.
Preferred Skills
Experience with Docker and containerization.
Exposure to Kubernetes or Amazon ECS.
Experience with CI/CD pipelines.
Familiarity with OAuth2, JWT, or similar authentication mechanisms.
Experience with SQL Server, PostgreSQL, MySQL, MongoDB, or DynamoDB.
Experience developing enterprise SaaS or B2B software products.
Experience working with globally distributed teams.
Education
Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.
Hiring for Dot Net Full Stack Developer - React Js
Exp: 5 - 8 yrs
Work Location : Bengaluru , Chennai , Hyd
Hybrid
Shift Timings : 2:00 pm - 10: 30 pm
Skills :
4+ years of experience in .Net Core,
3 years of experience in Rest API, Entity Framework, React JS and Azure.
We’re building financial data systems that power real business decisions — and we need someone who knows how to make Django, PostgreSQL, Celery, and APIs play nicely at scale.
You know what clean, reliable backend systems look like — because you’ve built them. You’ve handled authentication quirks, rate limits, and webhooks; you build code that’s maintainable, performant, and correct.
If you’re curious about financial data, transactions, and KPIs, and enjoy turning numbers into insight, this role is for you. (Experience with banking or accounting APIs is a big plus.)
What You’ll Do
- Build and maintain Django-based systems using Celery for async and scheduled tasks
- Integrate and manage data from multiple APIs (banking, accounting, analytics, etc.)
- Design and optimize internal APIs
- Improve reliability, scalability, and performance
- Collaborate closely with product and frontend engineers
Your Profile
You’re an experienced backend engineer who is strong in all core areas of modern Python development:
- Python, Django, Django REST Framework
- Celery and asynchronous / distributed task handling
- PostgreSQL and robust data modeling
- Docker and containerized deployment workflows
- Unit testing (pytest or equivalent) and maintainable test structures
- Git, CI/CD, and reliable deployment automation
- API integrations (REST, OAuth, webhooks)
- Caching strategies & background job handling (preferred Redis experience)
- Solid understanding of security, permissions, and performance optimization
You’ve already built or scaled production-grade systems and can take ownership from architecture to deployment.
Experience with fintech or data integration systems is an advantage.
How We Work
We’re a small, remote-first team that values ownership over micromanagement.
You’ll have freedom in how you work — what matters is your impact.
Our daily language is English.
About finban
We’re building a platform that helps businesses understand and manage their financial performance in real time by connecting and analyzing data from banking, accounting, and analytics systems.
If you’ve built or scaled production Django systems before and love clean architecture — we’d love to see your work.
C# & Angular Developer
JD as below:
Key Responsibilities:
- 6 to 10 years experience
· Develop and maintain web applications using Angular.
· Develop and maintain web applications using ASP.NET, C#, and related technologies.
· Integrate front-end applications with backend services via RESTful APIs, ensuring efficient data flow and robust error handling.
· Write clean, maintainable, and efficient code.
· Optimize applications for maximum speed and scalability.
· Troubleshoot and debug applications to ensure optimal performance.
· Collaborate with front-end developers to integrate user-facing elements with server-side logic.
· Collaborate with UX/UI designers to implement design specifications.
· Participate in code reviews and contribute to team knowledge sharing.
Experience:
· Proven experience as a Full stack developer(Angular 18+, .Net 6+).
· Strong proficiency in HTML, CSS, and JavaScript.
· Experience with Angular (18+) and its core principles.
· Experience with RESTful APIs and asynchronous programming.
· Strong proficiency in C#, ASP.NET MVC, and Web API.
· Experienced in using AI driven development, Github Copilot
· Experience with database management systems (SQL Server).
· Proficiency with version control systems, especially Git.
· Excellent problem-solving skills and attention to detail.
Good to have skills:
· Experience with hybrid applications or PWAs
· Experience with Agile development methodologies (Scrum, Kanban).
· Strong communication skills, with the ability to articulate technical concepts clearly to diverse audiences.
Software Development Engineer
What you'll do
Be the dedicated engineer for one of our clients. Learn their business, find what to automate, and build it.
Build automations, integrations, and web apps on whatever the client runs business platforms like the Zoho suite, cloud services like Azure, and custom apps where needed.
Work with APIs every day: connect systems, move data, make tools talk to each other.
Own work end to end: hear the problem from the stakeholder, build the solution, ship it, demo it, support it.
Resolve client tickets and bugs fast. Keep their systems and data healthy.
Write things down: clear docs, clear updates, clear commit history.
What we're looking for
2–5 years shipping software that works and being able to read it, debug it, and stand behind it.
Strong with REST APIs and integrations between systems.
Happy working inside business platforms (Zoho, Salesforce, or similar). Much of the leverage in this role lives there, not in custom code.
You can sit in a call with a non-technical client, understand the real problem, and come back with a working solution.
Self-driven. You'll often be the only engineer on a problem.
Why you'll love this role
Full ownership from first call to delivery you run projects, not just a ticket queue.
Direct access to clients and leadership. Your decisions ship the same week.
Constant variety: new systems, new problems, new builds.
Strong hands-on experience with Adobe Workfront.
Expertise in Workfront architecture and enterprise implementations.
Advanced knowledge of:
- Workfront configuration
- Custom Forms & Custom Fields
- Workflows & Approval Processes
- Templates
- Reports & Dashboards
- Portfolios & Programs
- User/Role/Security Management
Strong experience with Workfront Fusion.
Experience designing API-based integrations.
Strong knowledge of REST APIs, JSON, HTTP, webhooks, and data mapping.
Experience with enterprise integration platforms/middleware.
Understanding of automation, scalability, security, and governance.
Ability to create high-level and low-level solution designs.
Strong hands-on experience with Adobe Workfront.
Workfront configuration and administration.
Workflows, approval processes, templates, queues, reports, and dashboards.
Custom Forms and Custom Fields.
Strong understanding of Workfront data model and project/work management processes.
Hands-on experience with Workfront Fusion.
Experience with REST APIs, webhooks, JSON, HTTP methods, and integrations.
Experience integrating Workfront with third-party enterprise applications.
Knowledge of automation and iPaaS concepts.
Good understanding of data mapping, transformations, error handling, and integration monitoring.
Knowledge of JavaScript or scripting is an advantage.
ROLE:
Address technical issues relating to software implementation, function, and upgrades. Resolve customer complaints or problems and create product problem reports and troubleshoot documents for each issue. Work closely with application support and development teams to identify and resolve any technical problems that might arise during the development of software. Work with Implementation teams and Account managers to recommend solutions to new customer implementations and workflows.
ESSENTIAL DUTIES and RESPONSIBILITIES:
- Understanding the PeopleScout architecture and framework
- Provide L2 support for tickets passed on by L1 support team using advanced knowledge of Java, SQL, Stored Procedures, Functions, and database development.
- Analyze and understand Java code to debug, trace, and communicate technical issues effectively with the Development team.
- Review application logs, perform exception analysis, monitor system performance, and identify root causes to ensure timely issue resolution and optimal application performance.
- Provide technical support to application support team
- Develop solutions to complex customer and software problems
- Assist with software design and development
- Work within an agile environment
- Deliver sprint commitments on time
- Be responsible for your own code, and work with others to improve the quality and deliver of theirs
- Document troubleshooting guides and outcomes of problems, analysis and solutions for future re-use
MUST HAVE SKILLS:
- 5 to 8 years of experience in L2 Application Support, preferably supporting SaaS products.
- Strong troubleshooting skills with Java applications, SQL, and REST APIs.
- Strong hands-on experience with Core Java (Java 8 or above).
- Good understanding of Spring Boot and Java-based enterprise applications.
- Experience troubleshooting production issues, performing root cause analysis (RCA), and resolving incidents within SLA
- Strong SQL skills with databases such as Oracle, MySQL, PostgreSQL, or SQL Server.
- Experience working with REST APIs, JSON, and API testing tools like Postman.
- Ability to analyze application logs using tools such as Splunk, Kibana, ELK, or Grafana.
- Excellent customer communication skills with experience managing client interactions and providing timely updates.
- Familiarity with ServiceNow/Jira, Linux basics, and log analysis for application support
About MyOperator
MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.
About the Role
We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.
This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.
What You'll Do
- Design, build, and maintain Playwright-based end-to-end automation for web applications.
- Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
- Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
- Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
- Identify and resolve flaky tests and continuously improve automation coverage and reliability.
- Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
- Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
- Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.
Must Have
- 6–8 years of experience in QA/SDET or test automation roles.
- Strong hands-on experience with Playwright — mandatory.
- Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
- Strong experience in API/backend automation using REST or GraphQL.
- Good knowledge of SQL for database validation.
- Strong programming and automation skills.
- Experience integrating automation into CI/CD pipelines.
- Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
- Ability to independently own automation initiatives.
Good to Have
- Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
- Experience with Langfuse or similar LLM observability tools.
- Experience with Datadog or similar APM tools.
- Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
- Exposure to performance/load testing tools such as k6 or JMeter.
This Role Is Not For
- Candidates whose experience is primarily in manual testing.
- Candidates with limited hands-on coding or automation experience.
- Candidates without practical Playwright experience.
- Candidates without mobile automation experience.
- Candidates who have only executed test cases on an existing framework without meaningful automation ownership.
Why MyOperator?
Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.
If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.
Greetings From NAM Info Pvt Ltd
Job Title: STIBO STEP / Master Data Management Consultant
Experience: 6–8 Years
Job Summary
We are looking for an experienced STIBO STEP / Master Data Management (MDM) Consultant with strong hands-on experience in STIBO STEP 11.x. The candidate should be capable of designing and configuring MDM solutions, developing integrations, managing data quality, and working directly with customer stakeholders.
Key Responsibilities
- Understand business requirements and translate them into STIBO STEP configurations and technical solutions.
- Design and configure data models, attributes, hierarchies, classifications, relationships, and workflows.
- Configure business validation rules, lifecycle states, roles, permissions, and STEP UI components.
- Develop and manage imports, exports, publications, and syndications.
- Build integrations between STIBO STEP and systems such as SAP, Oracle ERP, eCommerce, PLM, and DAM.
- Work with REST/SOAP APIs, file-based interfaces, ETL tools, and message queues.
- Implement data quality, data governance, stewardship, match/merge, and reference data management processes.
- Troubleshoot performance and integration issues and perform root cause analysis.
- Support environment promotion, configuration transport, versioning, CI/CD, and deployment activities.
- Prepare technical/functional documentation, release notes, and training materials.
- Conduct customer workshops, present solutions, and communicate project status, risks, and issues.
Required Skills
- 6–8 years of experience in STIBO Master Data Management (MDM).
- Strong hands-on experience with STIBO STEP 11.x.
- Good knowledge of STEP data modeling, workflows, business rules, imports/exports, publications, and syndication.
- Programming/scripting knowledge in Java or JVM-based technologies.
- Strong knowledge of SQL, XML, XSD, XPath, and XSLT.
- Experience with REST and SOAP APIs.
- Experience integrating STIBO with enterprise systems such as SAP, Oracle ERP, eCommerce, PLM, or DAM.
- Strong experience with Oracle, MS SQL, or PostgreSQL.
- Good understanding of data quality and MDM governance.
- Strong communication and customer-facing skills.
Good to Have
- Experience with Informatica, Talend, or similar ETL tools.
- Knowledge of message queues and event-driven integrations.
- Experience with CI/CD and DevOps practices.
- Experience in performance optimization, security, and audit compliance.
- Ability to work independently and drive tasks to completion.
About MyOperator
MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.
About the Role
We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.
This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.
What You'll Do
- Design, build, and maintain Playwright-based end-to-end automation for web applications.
- Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
- Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
- Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
- Identify and resolve flaky tests and continuously improve automation coverage and reliability.
- Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
- Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
- Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.
Must Have
- 6–8 years of experience in QA/SDET or test automation roles.
- Strong hands-on experience with Playwright — mandatory.
- Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
- Strong experience in API/backend automation using REST or GraphQL.
- Good knowledge of SQL for database validation.
- Strong programming and automation skills.
- Experience integrating automation into CI/CD pipelines.
- Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
- Ability to independently own automation initiatives.
Good to Have
- Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
- Experience with Langfuse or similar LLM observability tools.
- Experience with Datadog or similar APM tools.
- Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
- Exposure to performance/load testing tools such as k6 or JMeter.
This Role Is Not For
- Candidates whose experience is primarily in manual testing.
- Candidates with limited hands-on coding or automation experience.
- Candidates without practical Playwright experience.
- Candidates without mobile automation experience.
- Candidates who have only executed test cases on an existing framework without meaningful automation ownership.
Why MyOperator?
Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.
If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.
Job Title : Software Development Engineer II (SDE 2) – Java or Golang (Backend)
Experience : 3+ Years
Location : Bengaluru
Working Days : 5 Days WFO
Notice Period : Immediate to 15 Days
Interview Process : 3 Client Rounds
Job Overview :
We are looking for an SDE 2 – Backend with strong hands-on experience in Java / Spring Boot or Golang to design, develop, and maintain scalable, high-performance backend applications. Candidates with experience in caching services will be highly preferred.
Mandatory Skills :
Java, Spring Boot, Golang, Gin, gRPC, REST APIs, Microservices, MySQL / PostgreSQL / Oracle, System Design, Caching, Data Structures & Algorithms, Git, CI/CD, Docker, Kubernetes, AWS / GCP.
Key Responsibilities :
- Design, develop, test, and deploy scalable backend applications and APIs.
- Develop microservices using Java / Spring Boot or Golang.
- For Golang roles, experience with Gin and gRPC is preferred.
- Work with MySQL, PostgreSQL, Oracle, or similar databases.
- Design and optimize caching solutions for application performance.
- Participate in system design and architecture discussions.
- Conduct code reviews and write unit/integration tests.
- Troubleshoot bugs and performance issues.
- Collaborate with Product, QA, and other engineering teams.
- Contribute to CI/CD, cloud, and DevOps practices.
Requirements :
- 3 to 5 years of backend development experience.
- Strong proficiency in Java / Spring / Spring Boot or Golang.
- Good understanding of REST APIs, Microservices, DSA, and System Design.
- Experience with relational databases.
- Strong debugging and problem-solving skills.
- Exposure to AWS/GCP, Docker, Kubernetes, Git, and CI/CD.
- Java candidates with end-to-end application design experience are preferred.
- Exposure to AI/ML tools or Low-Code/No-Code frameworks is a plus.
Interview Process :
Round 1 – LeetCode / Coding Round
- Data Structures & Algorithms
- Problem-solving and coding proficiency
Round 2 – System Design
- System architecture
- Scalability and performance
- API and database design
- Caching and distributed systems
Round 3 – Hiring Manager Round
- Technical depth
- Project and ownership experience
- Problem-solving approach
- Communication and collaboration
- Role and culture fit
Job Details:
- Role: Principal Engineer, Java Angular
- Experience: 11-13 Years
- Employment Type: Full-time
- Work Mode: Remote
Job Description
REQUIREMENTS:
• Total experience: 11+ years.
• Strong hands-on experience in Java and Spring Boot for backend application development.
• Must-have expertise in Angular for building modern, scalable web applications.
• Strong experience in designing and developing RESTful APIs and service-based architectures.
• Hands-on experience with PostgreSQL and relational database design.
• Experience working with API Management/Integration platforms such as Apigee, Kong, or MuleSoft.
• Strong understanding of Object-Oriented Programming (OOP), software design patterns, clean architecture, and separation of concerns.
• Hands-on experience with CI/CD pipelines, containerized development, and cloud-native deployment environments.
• Strong experience implementing automated testing across unit, integration, and end-to-end testing.
• Experience applying secure coding practices, including authentication, authorization, input validation, data protection, and OWASP principles.
• Familiarity with AI-assisted development tools for code generation, refactoring, documentation, and engineering productivity.
• Strong experience working in Agile (Scrum/Kanban) product development environments.
• Experience participating in code reviews, technical design discussions, and architecture reviews.
• Strong debugging, problem-solving, communication, and stakeholder collaboration skills.
• Ability to write clean, maintainable, scalable, and production-quality code following engineering best practices.
RESPONSIBILITIES:
• Design, develop, and maintain scalable backend services using Java Spring Boot.
• Design, develop, and maintain modern frontend applications using Angular.
• Build, enhance, and maintain RESTful APIs, integrations, and business services.
• Develop scalable, secure, and high-performance full-stack applications following clean architecture principles.
• Apply software design patterns, object-oriented principles, and clean coding practices throughout the development lifecycle.
• Contribute to system architecture, technical design, solution decomposition, and implementation decisions.
• Review and improve application architecture, code quality, maintainability, and overall engineering standards.
• Implement secure coding practices, ensuring application security, data protection, and compliance with OWASP guidelines.
• Develop and execute automated tests across unit, integration, and end-to-end testing levels.
• Build and manage CI/CD pipelines while supporting containerized and cloud-native deployments.
• Leverage AI development tools responsibly to accelerate coding, testing, refactoring, documentation, and engineering productivity.
• Perform code reviews, root cause analysis, debugging, and performance optimization to improve system reliability and scalability.
• Collaborate closely with Product Managers, Architects, QA, Platform teams, and other stakeholders in Agile environments.
• Identify technical risks early and recommend effective solutions to ensure high-quality software delivery.
• Drive continuous improvement in engineering practices, development processes, and product quality.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.
About the Role
You will work as a senior AI consultant who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.
You will not hand over a document and walk away. You will show working software early, own the roadmap, own the client relationship, and stay after go-live to run and improve the system.
Four behaviors define this role:
- Go where the work happens. You work onsite with the customer, in the room where decisions are made.
- Show working software early. You build a prototype in days, not a document in weeks.
- One person owns the outcome. You are the single point of accountability for the result.
- Stay after go-live. You keep running and improving the system after launch.
You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.
This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.
What you'll own
- Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
- The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
- The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
- The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
- The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
- Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
- Feedback to the product - Share what you learn in the field so our platform and internal tools get better.
What we are looking for
- Around 7 or more years of software engineering experience, including customer-facing or client delivery work.
- Experience working at a consulting or professional services firm in a client-facing delivery role.
- A full-stack development experience with strength in backend technologies.
- Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
- Production experience with large language models, including prompt engineering and agent development.
- You build with AI coding tools like Claude Code as your default way of working. You have built real apps and agents this way, not just used it for document generation or review.
- Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
- Experience building and deploying AI systems.
- Experience integrating with APIs and enterprise systems.
- Experience with at least one cloud platform (AWS, Azure, or GCP).
- Experience building evaluations to measure accuracy, safety, latency, and cost.
- Clear communication. You can explain a technical choice to an engineer and to a business leader.
- High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
- Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.
Nice to have
- Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
- Experience with on-premises or private cloud (VPC) deployments.
- Experience with observability and tracing tools such as LangSmith or Braintrust.
- Experience with data engineering and pipelines.
- A history of side projects, open source contributions, or products you shipped end-to-end.
- Experience in embedded or forward-deployed roles before.
Stack and tools
- Languages: Python and TypeScript.
- Models: Claude and other frontier or open source models, chosen to fit the customer.
- AI patterns: RAG, agents, prompt engineering, and evaluations.
- Vector and retrieval: vector databases and retrieval pipelines.
- Cloud: AWS, Azure, or GCP, on public or private cloud.
- Integration: REST APIs and enterprise system connectors.
About the Role
SwitchKart is on a mission to make technology more accessible and more sustainable — we're in the business of recommerce, giving old smartphones a second life, cutting down e-waste, and extending the lifecycle of every device we touch.
We're looking for a Senior Full Stack Developer to help us build and scale the ecosystem of platforms powering this mission — from our procurement app to our retailer app, pricing engines, and warranty systems. You'll take ownership of complex features end-to-end, mentor junior engineers, and make architectural decisions that shape how we grow.
What You'll Do
• Own Features End-to-End: Design, build, and ship full stack features across our procurement, retailer, pricing, and warranty platforms — from database schema to UI polish.
• Drive Architecture: Make key technical decisions on system design, scalability, and code structure as our ecosystem of apps grows.
• Build AI-First: Design and build systems with AI at the core — not bolted on. Think about where AI can automate, assist, or enhance the products you're building from day one.
• Build Scalable Architecture: Build and monitor a highly performant, failure-resistant platform — we take pride in doing this with a small, high-ownership team.
• Automate and Integrate: Develop tools that automate our integration processes and build data pipelines across our app ecosystem.
• Foster Technical Excellence: Champion unit and integration testing and lead meaningful code reviews across the team.
• Prototype and Validate: Create interactive prototypes to prove out technical concepts and participate in pilots for new initiatives.
• Mentor the Team: Guide junior developers through code reviews, pairing, and technical direction.
• Report Upward: Provide regular updates to management on milestones, risks, issues, and mitigation plans.
• Collaborate Cross-Functionally: Work closely with product and design to translate requirements into robust technical solutions across multiple products.
What We're Looking For
Must Have
• 4+ years of full stack development experience
• Strong proficiency in React and Node.js
• Solid experience with PostgreSQL or MySQL — schema design, query optimisation
• Experience designing and scaling production systems
• Experience deploying and managing applications on a cloud platform (AWS/GCP or similar)
• Comfortable owning a feature from concept to deployment
• Strong debugging and problem-solving skills
Good to Have
• Experience mentoring or leading junior engineers
• Track record of driving scalability and time-to-market in past cloud architecture decisions
• Exposure to CI/CD pipelines
• Experience with Docker, NoSQL databases, or distributed caching
• Experience integrating third-party REST/SOAP APIs
• Experience in a fast-moving startup environment
Why SwitchKart
• Real ownership over architecture and technical direction.
• Access to the latest AI coding agents and tools — we invest in keeping our engineers on the cutting edge.
• Work on a genuinely differentiated business with measurable impact.
• Be part of a lean team where your decisions shape the product.
• Opportunity to mentor and grow the engineering team.
Core Responsibilities:
- Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
- System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
- Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
- Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
- Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
- Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
- Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
- Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.
Experience and Expertise:
- 4–7 years of backend development experience with Python or Golang.
- Strong expertise in designing, developing, and scaling microservices and distributed systems.
- Solid understanding of concurrency, multi-threading, and performance optimization.
- Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
- Hands-on experience with Linux development, Docker, and Kubernetes.
- Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
- Strong debugging, profiling, and optimization skills for production-grade systems.
- Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.
Skills:
- Strong problem-solving ability, with experience handling complex technical challenges.
- Ability to lead technical initiatives and mentor junior engineers.
- Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
- Self-motivated, proactive, and able to operate independently while aligning with team goals.
- Passionate about engineering culture, quality, and developer productivity.
Core Responsibilities:
- Design, develop, and maintain backend services and APIs using Python or Golang.
- Write high-quality, testable, and maintainable code with a focus on performance and scalability.
- Implement automated tests and contribute to CI/CD pipelines.
- Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
- Troubleshoot production issues and provide timely resolutions.
- Participate in design and architecture discussions to improve system efficiency.
- Contribute to improving development processes, coding standards, and best practices.
Experience and Expertise:
- 2–4 years of experience in backend development with Python or Golang.
- Solid understanding of RESTful APIs, microservices, and distributed systems.
- Strong knowledge of data structures, algorithms, and OOPS principles.
- Hands-on experience with relational and/or NoSQL databases.
- Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
- Proficiency with Git and version control workflows.
- Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.
Skills:
- Strong analytical and debugging skills with the ability to solve complex problems.
- Good communication and collaboration skills across teams.
- Ability to work independently with minimal supervision while being a strong team player.
- Growth mindset – eagerness to learn new technologies and improve continuously.
Core Responsibilities:
- Design, develop, and maintain backend services and APIs using Python or Golang.
- Write high-quality, testable, and maintainable code with a focus on performance and scalability.
- Implement automated tests and contribute to CI/CD pipelines.
- Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
- Troubleshoot production issues and provide timely resolutions.
- Participate in design and architecture discussions to improve system efficiency.
- Contribute to improving development processes, coding standards, and best practices.
Experience and Expertise:
- 1-2 years of experience in backend development with Python or Golang.
- Solid understanding of RESTful APIs, microservices, and distributed systems.
- Strong knowledge of data structures, algorithms, and OOPS principles.
- Hands-on experience with relational and/or NoSQL databases.
- Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
- Proficiency with Git and version control workflows.
- Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.
Skills:
- Strong analytical and debugging skills with the ability to solve complex problems.
- Good communication and collaboration skills across teams.
- Ability to work independently with minimal supervision while being a strong team player.
- Growth mindset – eagerness to learn new technologies and improve continuously.
Job description
We are seeking an experienced and highly skilled Workato Developer to lead integration efforts between Salesforce, enterprise data warehouses, and other source systems. The ideal candidate will have deep experience in ETL processes, data migration, and ongoing data synchronization using Workato. You will be responsible for building scalable, secure, and performant integrations for a large enterprise environment. Key Responsibilities:
• Design, develop, and maintain data integrations between Salesforce and external systems (e.g., data warehouse, ERP, marketing platforms) using Workato. • Implement ETL workflows for both one-time data migrations and ongoing bi-directional data sync. • Create, configure, and maintain recipes, connections, and custom connectors in Workato. • Collaborate with Salesforce developers, data engineers, and business analysts to understand integration needs and translate them into technical solutions. • Monitor and optimize performance of integration flows and ensure data accuracy, error handling, and logging. • Develop and maintain integration documentation, data mapping, and transformation logic. • Work closely with data warehouse teams to enable seamless data exchange and transformation. • Support data quality initiatives by identifying data anomalies and recommending corrective actions. • Ensure compliance with enterprise security and data governance standards. Required Qualifications:
• 5–7 years of professional experience in data integration, ETL, or data engineering roles. • Hands-on experience with Workato or similar iPaaS platforms (e.g., MuleSoft, Boomi, SnapLogic) with proven track record of successful Salesforce integrations. • Strong expertise in integrating Salesforce with other enterprise systems (ERP, marketing tools, databases, APIs, etc.). • Proficiency in data transformation, JSON/XML, REST/SOAP APIs, and SQL. • Experience working in large enterprise environments with complex data landscapes. • Solid understanding of Salesforce data model, objects, and API limits. • Familiarity with data warehousing concepts, such as dimensional modeling, data marts, and analytics pipelines. • Bachelor’s degree in Computer Science, Information Systems, or a related field. Preferred Qualifications:
• Workato Certification or similar iPaaS certifications. • Experience with CI/CD, version control (Git), and Agile methodologies. • Exposure to Salesforce Data Loader, Salesforce Connect, or external object configurations
Job Title : Senior Software Development Engineer in Test (Sr. SDET)
Experience : 5 to 10 Years
Location : Bengaluru (5 Days Work From Office)
Working Days : Monday to Friday (5 Days a Week)
Notice Period : Immediate to 15 Days
Interview Process : 2 Technical Client Rounds
Role Overview :
We are looking for a Senior SDET with strong expertise in Backend/API Automation Testing for Microservices-based applications.
The ideal candidate should have experience building scalable automation frameworks, validating distributed systems, and integrating automation into CI/CD pipelines.
Mandatory Skills :
Java, Backend Automation Testing, API Automation, REST Assured, Microservices, TestNG, JUnit, Maven / Gradle, CI/CD, SQL, Kafka / RabbitMQ / SQS, Docker, Kubernetes, REST APIs, Distributed Systems, Grafana / Prometheus / Kibana / Splunk.
Preferred Skills :
AWS / GCP / Azure, MongoDB, Redis, Cassandra, WireMock, Pact, JMeter, Gatling, k6, Python, Shell Scripting.
Key Responsibilities :
- Design and maintain API/backend automation frameworks.
- Perform functional, integration, regression, and end-to-end testing.
- Automate testing for microservices and event-driven architectures.
- Integrate automation into CI/CD pipelines.
- Validate asynchronous workflows using messaging systems.
- Collaborate with Development and DevOps teams to ensure high-quality releases.
- Mentor QA engineers and improve automation best practices.
Required Skills & Qualifications :
- 5+ years of experience in Software Testing with a strong focus on Backend / API Automation.
- Hands-on experience testing Microservices-based applications.
- Strong expertise in REST API testing using REST Assured, HTTP Client, Postman, or similar tools.
- Excellent programming skills in Java with hands-on experience developing scalable automation frameworks.
- Strong experience with TestNG, JUnit, Maven/Gradle, and CI/CD integration.
- Hands-on experience validating asynchronous workflows using Kafka, RabbitMQ, AWS SQS, or similar messaging platforms.
- Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle, including complex queries and joins.
- Experience working with Docker, Kubernetes, and containerized applications.
- Experience validating applications deployed in Ephemeral or dynamic test environments.
- Good understanding of distributed systems and backend application architecture.
- Experience with observability and monitoring tools such as Grafana, Prometheus, Kibana, or Splunk.
- Strong understanding of software design principles, automation architecture, and test automation design patterns.
Preferred Skills :
- Experience with NoSQL databases such as MongoDB, Redis, or Cassandra.
- Knowledge of contract testing, service virtualization, and mocking tools such as WireMock or Pact.
- Familiarity with cloud platforms including AWS, GCP, or Azure.
- Experience with performance and resilience testing tools such as JMeter, Gatling, or k6.
- Working knowledge of Python or Shell scripting.
We’re Hiring: Associate Software Developer
Rogue Pixxel is hiring an Associate Software Developer for a long-term product development role in the education technology / institutional ERP space.
This is a good opportunity for someone who wants to work on a serious real-world software product, learn product development deeply, and grow with ownership.
Position Details
Role: Associate Software Developer
CTC: UPTO ₹3.6 LPA
Type: Full-time
Location: Ashok Nagar, Ranchi, Jharkhand
Experience: 3-5 years experience preferred
What You’ll Work On
You will work on web-based product features related to institutional operations such as:
Student and user workflows
Attendance and academic modules
Fee and finance-related workflows
Dashboards and reports
Communication and notification flows
Admin panels and role-based interfaces
Responsibilities
Develop, improve, and maintain product features
Work on frontend and/or backend tasks
Debug issues and improve product stability
Write clean, readable, and maintainable code
Collaborate with the team on product requirements
Take ownership of assigned work and deliver consistently
Required Skills
Good understanding of web development fundamentals
Basic knowledge of frontend or backend development
Understanding of APIs, databases, and Git
Logical problem-solving ability
Willingness to learn and improve continuously
Responsible attitude and consistency
Preferred Skills
React / Next.js
Node.js / NestJS
PostgreSQL / MySQL
REST APIs
Git
SaaS product exposure is a plus
Who Should Apply
This role is suitable for:
Strong freshers with good project experience
Developers with 3-5 Years of experience
Candidates who want to grow in product development
Developers who prefer long-term ownership over short-term project work
Growth Opportunity
This is a product-focused role with learning, responsibility, and growth opportunities. Performance-based growth review will be considered after the initial period based on ownership, consistency, and delivery quality.
Role : Senior Full Stack Engineer (Frontend Focus)
Location : Hyderabad/Bangalore/Gurgaon/Mumbai
Role Summary
We're looking for a **Senior Full Stack Engineer (Frontend Focus)** to build modern, AI-powered enterprise applications. You'll primarily focus on creating scalable, high-performance frontend experiences using React and Next.js, while contributing to backend services, APIs, and AI integrations where needed. You'll work closely with Product, Design, and AI teams to build intuitive, performant, and production-ready applications.
Minimum Qualifications
* 3–7 years of software engineering experience.
* Strong experience with React, Next.js, TypeScript, JavaScript, HTML, and CSS.
* Experience building and shipping production-grade frontend applications, including enterprise dashboards and data-intensive applications.
* Strong understanding of frontend architecture, state management (Redux, Zustand, Context API, or similar), rendering lifecycle, and performance optimization, including code splitting, lazy loading, bundle optimization, caching strategies, and Core Web Vitals.
* Experience building complex UI experiences using modern frontend technologies, including data visualization, Canvas, WebGL, Service Workers, and Web Workers.
* Experience building and integrating REST APIs and backend services using Node.js.
Preferred Qualifications
* Experience building AI-powered applications or AI agents using LangChain, LlamaIndex, CrewAI, or similar AI frameworks.
* Experience with vector databases and Retrieval-Augmented Generation (RAG) applications.
* Experience with DevOps practices and cloud platforms such as AWS, Azure, or GCP.
* Experience with Docker and Kubernetes.
* Experience building reusable component libraries, design systems, or micro-frontend architectures.
We are seeking a Full Stack Technology Solutions Engineer with 3–5 years of hands-on software development experience who is passionate about exploring new technologies and solving business problems through rapid prototyping. The role focuses on evaluating technology solutions, building proof-of-concept (POC) applications, validating third-party integrations, and assessing the technical feasibility of business requirements before production implementation.
Responsibilities:
- Understand business requirements and convert them into technical solution options.
- Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
- Develop POCs and prototypes to validate technical feasibility.
- Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
- Perform technical, scalability, security, and cost feasibility assessments.
- Prepare solution comparison reports, architecture diagrams, and technical recommendations.
- Collaborate with business users, vendors, and engineering teams during evaluations.
- Identify technical risks, assumptions, and implementation dependencies.
- Support engineering teams in transitioning successful POCs into production.
- Maintain clear technical documentation.
Criteria:
· Bachelor's degree in Computer Science, Information Technology, or a related field.
· 3–5 years of hands-on experience in software development, integration engineering, or solution engineering.
· Strong coding skills in Python, Node.js, Java, or C#.
· Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.
· Hands-on exposure to AWS or another major cloud platform.
· Experience with Git, Docker, and SQL databases.
· Excellent analytical, troubleshooting, and communication skills
· Comfortable collaborating across product, engineering, and business teams
· Excellent communication, problem-solving, and stakeholder management skills.
Preferred Skills
- Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
- Experience evaluating third-party enterprise software.
- Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.
Ability to create architecture diagrams and technical proposals
Job Role- Sr. Backend Developer (Python –Django)
Work Experience – 3-5years Roles and Responsibilities
• Understanding product requirements and convert to code
• Resolving bugs
• Stay on top of the product to ensure performance and scalability
• Ensure code quality and maintainability by following best practices and coding standards.
• Understand and keep the technical documentation up-to-date
• Implement RESTful APIs and integrate with front-end components and third-party services
• System architecture and design skills
Mandatory Experience:
• 3+ years of experience in REST API development with any Python based frameworks (Django, Django REST framework (DRF).
• 3+ years of experience in web development with Python
• 3+ years of experience with MySQL, PSQL
• 3+ years of experience with Git
• 3+ years of database programming experience (Postgres, SQL, ability to write complex queries)
• 3+ years of experience with Agile development cycle Good to have
• Contribution in any open-source projects
• Experience or understanding with DevOps
• Experience with agile development methodologies like Scrum
• API design & creation (e.g. OpenAPI)
• Experience in Test Driven Development
• Experience working in a product-based company Behavioral Skills
• Incessant problem solver
• Driven and eager to learn
• Optimistic and open to receiving feedback
• Highly organized and able to multitask
• Self –Starter to help with the design and programming of web applications. ∙
• Superior analytical and problem-solving skills
• Outstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
• Able to understand cross cultural differences and can work with clients across geographies






















