50+ Backend Developer Jobs in India

Engineering Manager – Backend 

Location: Flexible / Hybrid (Mon–Fri)

Website: https://www.solarsquare.in

About the Role

SolarSquare is building the infrastructure for India's clean energy transition. We're looking for an Engineering Manager who doesn't just run a team — someone who builds one from the ground up, makes consequential technical bets, and treats engineering outcomes as business outcomes.

You'll own the technical strategy and delivery for our full-stack platform, lead a growing team of SDE1–SDE3 engineers, and work directly with product, design, and business to shape what we build and how fast we build it. This is a role for someone who has operated in resource-constrained environments, shipped systems that held up under pressure, and left every team they've led measurably better than they found it.

If you've only ever executed someone else's roadmap, this isn't the right fit. If you've ever built something from scratch and felt personally responsible for whether it worked.

What You'll Own

Team & Culture

• Build, hire, and develop a high-performing full-stack engineering team  including setting the bar for what "high-performing" means at SolarSquare
• Create genuine career growth paths for engineers.
• Maintain team health, retention, and motivation through periods of rapid change and ambiguity

Technical Strategy

• Define and drive the architectural roadmap
• Make and own technical bets: when to invest in platform, when to ship fast, when to pay down debt
• Establish observability, reliability, and security standards before they become production fires

Delivery

• Translate business goals into engineering priorities  and push back when the translation is wrong
• Set clear goals, metrics, and delivery expectations; hold yourself and the team accountable to them
• Manage trade-offs between short-term product velocity and long-term engineering health

Cross-Functional Influence

• Partner with Product, Design, and Business stakeholders  and influence decisions upstream.
• Communicate technical risk, cost, and complexity clearly to non-technical leadership
• 
  

What We're Looking For

• 7–10 years of engineering experience, with at least 3 years leading teams.
• Strong understanding of distributed systems design: idempotency, retries, DLQs, circuit breakers, eventual consistency, you've had to debug these in production.
• Proven experience with event-driven architecture and Kafka including schema design, consumer group management, and failure recovery patterns.
• Comfort with relational (PostgreSQL) and NoSQL (MongoDB, Redis, ) databases  including query optimisation and schema design decisions at scale.
• You've designed or operated systems handling meaningful traffic  ideally 10K+ RPS. significant daily transaction volumes, or consumer-scale user bases (1M+ users)
• You understand what 99.99% uptime actually costs to maintain and you've made the infrastructure and on-call decisions to back it.
• You've written or enforced SLOs, SLAs, and incident management processes.
• You've done a postmortem that changed something real about how the team operates.
• Hands-on experience with AWS, GCP, or Azure beyond just deploying services, cost optimisation, right-sizing, architecture decisions that meaningfully reduced spend
• Working knowledge of containerisation (Docker) and orchestration (Kubernetes) enough to unblock your team.
• CI/CD pipeline ownership  you've built or significantly improved a pipeline.
• Experience with observability tooling: Prometheus, Grafana, Datadog, ELK, or equivalent  and more importantly, a philosophy about what to instrument and why
• You've made the call between monolith and microservices  and you can defend it with context.
• You've managed technical debt consciously: triaged it, prioritised it, and made the case to stakeholders for when to pay it down
• You've navigated a hard conversation with a product or business stakeholder  and changed the outcome
• Your engineers grow under you. You can point to people you've promoted, coached, or unblocked
• You know how to build alignment across functions where incentives don't naturally align
• You have clear examples of decisions you made under ambiguity  and you can articulate the trade-offs you weighed
• You've identified a systemic problem and fixed it without being asked
• You've built or rebuilt something that wasn't working  a team, a process, a system

Work Arrangement

Flexible work setup, including hybrid options. Monday to Friday. Learn more about us at https://www.solarsquare.in.

Software Engineer Intern

Technology | Engineering | Product

 Location: Noida (On-Site)

Employment Type: Internship

Stipend: 10,000- 15,000 INR

Duration: 6 months

Experience: 0–1 Years / Freshers

About Skillinabox

Skillinabox is one of India's fastest-growing SkillTech startups, transforming fashion education through industry-driven, hands-on learning. Our mission is to bridge the gap between education and the real world by equipping learners with practical skills that make them career-ready.

Backed by a passionate team and a culture of innovation, we're building the future of creative education. At Skillinabox, every team member has the opportunity to take ownership, drive meaningful impact, and grow alongside the company as we continue to scale across India and beyond.

About the Role

We are looking for a curious and motivated Software Engineer Intern who is excited about technology, problem-solving, and building real-world products.

As a Software Engineer Intern, you will work closely with our Engineering and Product teams to develop and improve features for our digital platforms. You will get hands-on experience in coding, debugging, testing, and working with modern software development tools.

This role is ideal for someone who wants to learn by doing, take ownership of their work, and gain practical exposure to building products in a fast-paced startup environment.

Key Responsibilities

• Develop and maintain web application features with guidance from senior team members.
• Write clean and maintainable code and follow basic coding best practices.
• Work with the Product and Design teams to understand requirements and build solutions.
• Debug and resolve bugs and technical issues.
• Work with APIs and databases as required.
• Participate in testing, code reviews, and deployment of features.
• Use Git/GitHub for version control and collaboration.
• Learn new technologies and contribute ideas to improve our products.

Qualifications

• Pursuing or recently completed a Bachelor's degree in Computer Science, IT, Software Engineering, or a related field.
• Good understanding of programming fundamentals and problem-solving.
• Knowledge of at least one programming language such as JavaScript, Python, Java, or C++.
• Basic understanding of HTML, CSS, and JavaScript.
• Familiarity with Git/GitHub is preferred.
• Basic knowledge of APIs and databases is a plus.
• Good communication skills and willingness to learn and collaborate.
• Personal projects, hackathons, GitHub contributions, or previous internships will be an advantage.
• Freshers are welcome.

Why Us?

• We are a one-of-a-kind vernacular skilling platform disrupting the skilling landscape.
• Skills >> Education is a notion we are spreading through hands-on skilling.
• Backed by leading angels in the industry as well as the government.
• With founders and the board having a combined experience of 100+ years in skilling, we definitely know what we are doing.
• We believe people >> product and would love to have you onboard to help scale this ship and make a meaningful impact.
• Amazing growing team!
• We are growing 100% month over month!
• ESOPs for the core team.
• We are solving for Bharat & the world!
• We are global since 2022!

Final Words

If you've made it this far, you're probably someone who genuinely enjoys building things, solving problems, and learning new technologies.

At Skillinabox, you won't just write code—you'll get the opportunity to work on real products that impact how people learn and build their careers.

If you're curious, driven, and excited to learn, we'd love to hear from you.

Don't just tell us what you've learned—show us what you've built.

Role: Golang Developer

Experience: 4+Years

Work Location: Mumbai(Kanjurmarg)

Notice Period: Immediate

Required Skills

• Golang: 4+years hands-on experience building production services.
• API Protocols: REST/JSON, gRPC, protobuf; API versioning and backward compatibility.
• Architecture: Clean Architecture, DDD (aggregates, repositories), SOLID, hexagonal architecture.
• Databases: PostgreSQL/MySQL; indexing, query optimization, transactions, isolation levels, migrations (e.g., golang-migrate).

Nice-to-Have

• Event-driven systems (Kafka/RabbitMQ), CQRS and Saga patterns.
• Concurrency: Goroutines, channels, sync primitives (mutex, wait groups), context cancellation, worker pools.
• Containers & Cloud: Docker, Kubernetes; familiarity with AWS/GCP/Azure (IAM, networking, managed DBs).
• CI/CD & Git: Branching strategies, automated tests, code quality checks, artifacts.
• Caching (Redis/Memcached), rate limiting, and feature flags.
• Security: OAuth2/OIDC, JWT, mTLS, secrets management (Vault/SSM).
• Infrastructure as Code (Terraform), Helm charts.
• Experience with performance tooling.

Education

· Bachelor’s in Computer Science/Engineering

This is a backend role. You won't build screens, and you don't need frontend experience. The mobile team will add a language picker and pass a locale to the backend. Everything behind that is yours: the data model, content pipelines, LLM generation, retrieval, audio, notifications, and making sure all of it holds up in production.

What you'll build

1. The language data model

• Design how language lives in the database: user language preference, per-story translations, fallback chains (e.g. pt-BR → pt → en), and versioning so a translation is marked stale when its English source changes.
• stories.translations (jsonb) already exists and nothing reads it yet. Decide whether it stays, or whether we move to a dedicated story_translations table, and write down why.
• Everything ships as new, reversible migrations. We never edit an existing migration.

2. The content translation pipeline

• Our library has already been translated into several languages using the Anthropic Batch API, with a two-pass generate-then-review process. Move this into the repo so it's idempotent, re-runnable and cheap, and so it handles only the stories that changed.
• Build a glossary and style layer: Hebrew terms, names of sages and sources, and terms that must never be translated. Add automated QA checks (completeness, glossary adherence, length drift, broken formatting) plus a sampling workflow for native-speaker review.

3. Generation in the user's language

• Reflections, bridge text, the three practices (Echo, Naming, Walking) and Path arcs are generated by Claude through shared prompt modules in our Supabase edge functions. Make them produce native, natural output in the target language. That means writing in the language directly, not translating English after the fact. Our existing rules must still hold, e.g. each practice carries a Hebrew term with its meaning explained, now explained in the user's language.
• Build a per-language evaluation harness so we can check quality before a language goes live and catch regressions when prompts change.

4. Multilingual matching

• Today, language-validation detects the language of the user's input and blocks anything that isn't English. Replace that gate with detection and routing.
• Story matching uses OpenAI text-embedding-3-large over pgvector. Measure how well non-English input retrieves the right English-indexed stories. Then decide between cross-lingual matching, per-language embeddings, or a hybrid, and back the decision with numbers.

5. Audio

• Stories and reflections are read aloud by ElevenLabs voices. Audio is currently stored per voice (audio_urls), so it has to become per voice and per language. Pick voices for each language, and plan batch pre-rendering, storage, cost and backfill.

6. Server-side copy

• Move push notification copy (including our Shabbat-aware scheduling), transactional and lifecycle emails, and database-driven home-screen messages out of the code and into a locale-aware string system with proper plurals and date formats.

7. Safe rollout

• Several app versions are live at the same time, and older builds can't be changed. Every change you make must stay backward compatible: English stays the default, current RPC signatures stay the same, and each language can be switched on independently behind a flag.
• Track cost and quality for each language: tokens, TTS credits, fallback rate and generation failures.

Our stack

• Backend: Supabase: Postgres (RLS, RPCs, pgvector, jsonb, pg_cron) and 50+ Deno/TypeScript edge functions
• AI: Anthropic Claude (Messages and Batch APIs, prompt caching), OpenAI embeddings, ElevenLabs TTS
• Data/scripts: Python and Node
• Other: RevenueCat, Resend, Expo Push/FCM. The app is Expo/React Native, but you won't need to work in it.

You'll be a fit if you have

• 5+ years of backend engineering, with strong PostgreSQL: schema design, migrations on live data, RLS, stored functions, and performance tuning.
• Production TypeScript (Deno or Node) and solid Python for data pipelines.
• Shipped LLM features to production, beyond prototypes: prompt design, structured output, batch processing, cost control, and above all evaluation. You know how to tell whether output in a language you don't speak is good.
• Built backend internationalization before: locale negotiation, fallback chains, ICU/CLDR plurals and dates, and translation workflows with versioning.
• Worked with embeddings and vector search, and can design a retrieval evaluation.
• Care about keeping production running: backward compatibility, feature flags, and rollouts that can be undone.
• Write clearly. Decisions here get written down before they get built.

Nice to have

• Experience with ElevenLabs or other TTS pipelines.
• Supabase-specific experience.

Job Title: Platform Engineer

Location: Bangalore(Onsite)

Experience Level: 3-8

Salary Range: 20-30LPA

Description:

Join a team building an AI-native enterprise platform that helps businesses make faster, smarter and more consistent operational decisions using AI, enterprise data and workflow automation.

Design and build the core platform for enterprise decision workflows. Develop reusable workflow and decision runtimes. Build scalable, cloud-native distributed systems and event-driven architectures. Design enterprise-grade APIs and platform services. Build integrations with systems such as SAP and Oracle. Develop secure multi-tenant services with authentication and RBAC. Build and manage AWS cloud infrastructure and deployment systems. Implement monitoring and observability for production systems. Support both cloud and on-premise deployments. Enable faster onboarding and deployment of new enterprise workflows.

Requirements:

- Strong hands-on experience with Python

- FastAPI

- PostgreSQL

- Docker

- AWS

- Practical experience with Redis

- Kafka/event streaming

- REST APIs

- CI/CD

- Git

- Good understanding of Kubernetes

- Distributed systems

- Event-driven architecture

- Enterprise SaaS

- Microservices

- Strong backend engineering fundamentals

- Ability to design scalable, reliable and production-ready systems

Backend Developers

• Contract To Hire (Initial Engagement: 6 months)

Experience: 5+ years

Mandatory Skills:

● Node.js

● Python

● MongoDB

● PostgreSQL

● REST API design and development

● Backend architecture and service design

● Database design, indexing and query optimisation

● Performance tuning

● Authentication/authorisation

● Third-party integrations

● Asynchronous processing and background jobs

● Logging, monitoring and debugging

● Git and collaborative development

● Scalable, maintainable and testable backend services

● Architecture discussions, code reviews, debugging and production support

Good to have:

● Microservices

● Docker

● Cloud platforms

● Redis

● Message queues

● CI/CD

● Observability

Backend Engineer – Java/Spring – Bangalore

 Job Title: Backend Engineer (Java)

 Experience: 7 - 10 years

 Location: Bangalore

 Employment Type: Full Time with Arcis E Services

About the Role

 Looking for a backend engineer with strong Java and Spring expertise to build scalable microservices and backend systems.

 Key Responsibilities

• Develop microservices using Java, Spring Boot, Spring Core, Hibernate.

• Design REST APIs, authentication, and backend architecture.

• Work with SQL/NoSQL databases and optimize queries.

 • Collaborate with frontend and QA for seamless integrations.

• Participate in code reviews, refactoring, and performance optimization.

 Required Skills

 • J2EE, Spring Boot, Hibernate.

• RESTful services, JSON/XML.

• SQL (MySQL/PostgreSQL) and NoSQL fundamentals.

• Familiarity with Docker/Kubernetes is a plus.

About the Team

SecurITe’s mission is to build an Agentic-AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for an exceptional Platform Engineer to help lead the development of our next-generation cybersecurity AI platform. This is a rare opportunity to shape how agentic AI transforms the future of cyber defense.

As a Platform Engineer, you will design, build, and operate the foundational infrastructure, deployment systems, and developer platforms that power our cybersecurity products across cloud and on-premise environments. You will work at the intersection of infrastructure engineering, cloud-native technologies, automation, reliability, and security to enable scalable and resilient product delivery.

You’ll collaborate closely with AI/ML, backend, security, QA, and product engineering teams to create self-service platforms, deployment pipelines, observability systems, and operational tooling that accelerate innovation while maintaining enterprise-grade reliability and security.

This role is ideal for Linux platform engineers and system specialists who excel at solving complex system challenges, automating wherever possible, and building resilient platforms that enable teams to move faster with confidence.

Why This Role Matters

Cybersecurity is undergoing a fundamental shift. AI is no longer an enhancement—it’s becoming the core engine of how detection, investigation, and response are executed. As our Platform Engineer, you will architect and build the infrastructure, automation, deployment, and operational systems that make this transformation real.

Your work will directly influence the scalability, reliability, and security of our AI-driven cybersecurity platform across both cloud and enterprise on-premise deployments. You’ll help establish the operational backbone that enables rapid innovation, secure product delivery, and resilient large-scale deployments in mission-critical environments.

This is a chance to solve novel technical challenges involving distributed systems, hybrid infrastructure, observability, automation, and secure software delivery while shaping how defenders outpace modern attackers.

What You’ll Do

●    Design, build, and own AWS infrastructure from the ground up (VPC architecture, EC2 fleet management, IAM, networking, security groups)

●    Administer and harden AlmaLinux VMs across production, staging, and dev environments

●    Build automation for provisioning, patching, and configuration management (infrastructure-as-code, config management tooling)

●    Design and implement observability: monitoring, logging, alerting, and on-call-worthy SLAs from scratch

●    Lead incident response — diagnosis, RCA, and post-incident documentation — with no dedicated ops team to escalate to

●    Make and document build-vs-buy and architecture decisions as the product and team scale

●    Work directly with founders/engineering to translate ambiguous asks into scoped technical plans

Impact You’ll Have

●    Accelerate engineering velocity through scalable developer platforms and automation

●    Improve deployment reliability, platform uptime, and operational efficiency

●    Enable secure and scalable AI-driven cybersecurity workloads

●    Reduce operational overhead through infrastructure automation and self-service systems

●    Help establish enterprise-grade cloud and on-premise deployment capabilities

●    Enhance product resiliency, observability, and operational excellence

●    Shape the long-term platform architecture powering next-generation cybersecurity products

●    Enable rapid and secure delivery of critical security innovations to customers

Required Experience

●    4+ years hands-on Linux administration (RHEL-family strongly preferred — AlmaLinux, CentOS, RHEL)

●    Deep Linux internals: systemd, networking, storage/LVM, process/resource management, kernel-level troubleshooting

●    Real AWS architecture experience — not just operating existing infra, but designing it (VPC, EC2, IAM, security groups, networking)

●    Demonstrated ability to scope and solve ambiguous problems independently, without a runbook or senior engineer to defer to

●    Scripting/automation proficiency (Python and/or Bash) beyond one-off scripts — built tooling that runs unattended

●    Track record of end-to-end ownership: has designed, built, and operated a system (not just contributed to one)

●    Clear, proactive communicator — documents decisions and explains reasoning without being asked

Required Skills & Qualifications

●    Strong Linux system administration and troubleshooting skills

●    Redhat certifications

●    Strong understanding of networking fundamentals, security, and distributed systems

●    Proficiency with Docker, and container orchestration

●    Experience with Terraform, Ansible, or similar infrastructure automation tools

●    Strong scripting or programming skills in Python, Bash, or Go

●    Knowledge of observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry

●    Understanding of platform security best practices and secure infrastructure design

●    Familiarity with virtualization technologies and hybrid infrastructure environments

●    Strong problem-solving and debugging abilities

●    Excellent communication and collaboration skills

●    Ability to thrive in fast-paced startup environments

Nice to Have

●    Configuration management/automation at scale (Ansible, AWX, Terraform, or similar)

●    Monitoring/observability stack experience (Prometheus, Grafana, Zabbix, ELK, Datadog)

●    Container experience (Docker; Kubernetes a plus but not core to this VM-based stack)

●    Experience in a startup or small-team environment where infra was built from scratch

●    Security/compliance exposure (vulnerability remediation, hardening, SSO/access control)

The Mindset

Problem Solver

You thrive on complex, ambiguous challenges and engineer elegant solutions.

Ownership-Driven

You take initiative, move fast, and deliver outcomes without hand-holding.

Continuous Learner

You stay ahead of the curve in AI, ML, cloud-native technologies, and emerging infrastructure trends.

Startup DNA

You excel in fast-moving environments where priorities evolve and impact is immediate.

About the team

SecurITe’s mission is to build an Agentic‑AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for a Senior Golang Engineer to spearhead the development of our next-generation cybersecurity AI platform. In this role, you will build and scale robust backend systems to solve complex, high-impact technical challenges.

Why This Role Matters

Cybersecurity is undergoing a fundamental shift. AI is no longer an enhancement—it’s becoming the core engine of how detection, investigation, and response are executed. As our Golang Engineer, you will architect and build the backend systems that make this transformation real. Your work will influence not only the evolution of our platform, but also how an entire industry adapts to and leverages AI‑driven security. This is a chance to solve novel technical challenges while shaping how defenders outpace modern attackers.

What You’ll Do

●    Design and develop scalable backend services and REST APIs using Golang.

●    Architect and maintain microservices-based systems.

●    Perform rigorous debugging and system performance optimization.

●    Integrate services with Opensearch, Elasticsearch, and Sumo APIs.

●    Manage and optimize data interactions with SQL databases.

Impact You’ll Have

●    Build the foundational infrastructure that enables real-time AI-driven threat detection.

●    Ensure the reliability and performance of critical security systems under high-load scenarios.

●    Directly contribute to the resilience of global critical infrastructure by shipping secure and efficient code.

Required Experience

●    4-8+ years of experience in Golang and REST APIs

●    Extensive experience in professional backend software development.

●    Proven track record of designing and deploying distributed systems at scale.

●    Demonstrated experience optimizing performance for data-intensive applications.

●    Proven experience leading or architecting large-scale distributed systems and driving technical strategy.

Required Skills & Qualifications

●    Expertise in Golang development.

●    Deep experience building Backend/REST APIs.

●    Proficiency in Python.

●    Strong understanding of Microservice architecture.

●    Experience with SQL databases.

●    Experience with Opensearch, Elasticsearch, or Sumo APIs.

●    Strong capabilities in debugging and performance optimization.

Nice to Have

●    Knowledge of Identity, Authentication, and Authorization protocols (OAuth, SAML, JWT).

●    Experience working in Linux environments.

The Mindset

●    Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.

●    Ownership‑Driven: You take initiative, move fast, and deliver outcomes without hand‑holding.

●    Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.

●    Startup DNA: You excel in fast‑moving environments where priorities evolve and impact is immediate.

We're Hiring: Agentic Tools Architect

Contract | Remote-first | Global

We're currently recruiting for one of our clients, A company that specializes in acquiring enterprise software businesses and transforming them into AI-native, profitable, scalable operations. They run remote-first, globally distributed teams, and their internal operations platform (Odoo, Redmine, GitHub) currently runs on human-shaped workflows. They're looking for someone to rebuild it for agents.

The Role

Redesign the client's operational tooling so AI agents can create, route, and resolve work alongside people — with minimal oversight. You'll own the roadmap, build the plugins (Rails-first), and set the guardrails.

You'll:

• Own feature roadmap across Odoo, Redmine, GitHub & adjacent systems
• Design agent-operable APIs, MCP servers, and automation
• Build Rails-based Redmine plugins, Odoo modules, GitHub Apps that survive version upgrades
• Review AI-generated PRs and agent-authored config; set standards for access, integrity, observability

You bring:

• 10+ years in software/platform engineering with deep SME knowledge of Odoo, Redmine, GitHub, or similar
• Expert Ruby on Rails, production Redmine plugin experience
• Real-world agentic dev experience (MCP, LLM tooling, agent workflows)
• Strong grip on delivery/support/ops business processes

Nice to have: Python + Odoo modules, PostgreSQL, legacy modernization experience, PE-backed/SaaS scale-up background

Roles & Responsibilities

1. Write, review and merge production code across Vue.js frontend and Node.js backend
2. Own code quality for the India team — set review standards and refactor technical debt
3. Debug across the full stack — from Vue rendering issues to Mongo aggregations to Kubernetes pod issues
4. Guide the team on day-to-day development decisions and step in on unsolved problems
5. Design solutions for new modules from spec to schema to API contract to implementation
6. Own MongoDB data modelling decisions — document structure, embedding vs referencing, index strategy
7. Review Node.js service design: API structure, error handling, validation, authentication, rate limiting, background processing
8. Make and document build-vs-buy calls on third-party services with cost and integration effort
9. Ensure the platform stays stable and performant on a live, revenue-generating system
10. Demonstrate daily working use of AI coding tools and spec-driven development practice
11. Judge AI output quality and know when tasks should not be handed to agents
12. Set up and maintain repo-level context files and make the team's AI setup consistent
13. Coach the team on AI tools while holding the line on quality
14. Work with LLM APIs, embeddings, semantic search and understand where AI features help
15. Run sprint planning, estimation, standups and retros for the India team
16. Break requirements into technical tasks with clear acceptance criteria
17. Track velocity and flag slippage and blockers early
18. Own release coordination — deployment planning, rollback strategy and post-release monitoring
19. Line-manage 6–10 engineers across web, mobile and QA — 1:1s, feedback, performance conversations and growth planning
20. Mentor mid-level engineers into senior ones and build depth
21. Participate in hiring — technical screening, interviewing and onboarding
22. Keep the team's engineering practices consistent: documentation, testing, branching, incident handling
23. Act as the main technical point of contact between the India team and the UAE office product and business stakeholders
24. Communicate clearly to mixed technical and non-technical audiences — status, risk, trade-offs and time cost
25. Manage the time-zone gap with structured overlap hours, written updates and async documentation
26. Own technical delivery on modules including product catalogue, pricing, ordering, workflows, order management, payments, invoicing and vendor onboarding

Ideal Candidate

1Strong Hands-On Technical Team Lead Profile (Vue.js + Node.js) with AI-assisted development and B2B e-commerce exposure2Mandatory (Experience) - Must have 8+ years of software engineering experience with at least 2+ years leading a team of 5 or more engineers3Mandatory (Tech skill 1): Must have strong, current, hands-on Vue.js experience including component architecture, state management and performance optimisation4Mandatory (Tech skill 2): Must have strong, current, hands-on Node.js and Express experience for production API development at scale5Mandatory (Tech skill 3): Must have deep MongoDB experience including aggregation pipelines, index design, query performance tuning and schema decisions6Mandatory (Tech skill 4): Must have AWS experience particularly Kubernetes/EKS with deployments, resource limits, health probes and production monitoring7Mandatory (Tech skill 5): Must have working understanding of Flutter including widget architecture, state management, platform channels and Play Store/App Store release pipelines8Mandatory (Tech skill 6): Must have demonstrable, daily professional use of AI coding tools (Claude Code, Cursor, GitHub Copilot, Gemini CLI or equivalent) with real examples9Mandatory (Tech skill 7): Must have experience with spec-driven development including writing structured requirement and design documents and reviewing AI-generated output against acceptance criteria10Mandatory (Tech skill 8): Must have experience setting up and maintaining repo-level context files, rules files and custom commands for AI development11Mandatory (Tech skill 9): Must have Git and CI/CD experience including branching strategy, review workflow and automated pipelines12Mandatory (Leadership): Must have line-managed engineers (1:1s, feedback, performance, growth), mentored mid-to-senior, and participated in hiring13Mandatory (Communication): Must communicate clearly to mixed technical/non-technical audiences and manage a time-zone gap with structured overlap and async documentation (works with the UAE office)14Mandatory (Education): Bachelor's or Master's in Computer Science, Engineering or related field15Mandatory (Domain): Background in B2B e-commerce, wholesale/distribution or marketplace platforms16Preferred (Offshore Experience): Experience working as the offshore technical counterpart to an overseas leadership team17Preferred (AI Integration): Experience integrating LLM APIs into a production product18Preferred (Observability): Exposure to observability tooling such as CloudWatch, Datadog or Sentry and analytics instrumentation19Preferred (Third-party Integrations): Experience with payment gateways, e-signature, logistics APIs, mapping and geolocation integrations

JOB DESCRIPTION

Experience: 4+ years

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. 4+ years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Minimum 3+ Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Fork joins pool and other threading concepts)

? Good knowledge of the JVM with an understanding of performance and memory optimization.

? Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

? Excellent knowledge on collections like, Array List, Vector, LinkedList, HashMap, Hash Table, HashSet is mandate.

? Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

? Expert level understanding of Object-Oriented Concepts and Data Structures

? Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

Job Summary

We are looking for a skilled Backend Developer with strong Node.js experience to join our development team. The ideal candidate should have hands-on experience in building scalable, secure, and high-performance backend applications and APIs.

You will work closely with frontend developers, product managers, and other engineering teams to design, develop, test, and maintain backend services and applications.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Node.js.
• Build and maintain RESTful APIs and backend services.
• Write clean, reusable, maintainable, and efficient code.
• Work with databases such as MongoDB, PostgreSQL, MySQL, or similar.
• Integrate third-party APIs and external services.
• Implement authentication, authorization, and security best practices.
• Optimize application performance, scalability, and reliability.
• Identify and resolve bugs, performance issues, and production problems.
• Write unit and integration tests to ensure application quality.
• Collaborate with frontend developers to integrate APIs with web/mobile applications.
• Participate in code reviews and follow development best practices.
• Work with Git and standard CI/CD and deployment processes.
• Contribute to system design and technical discussions.

Required Skills

• 2–6 years of professional experience in backend development.
• Strong hands-on experience with Node.js.
• Good knowledge of JavaScript and/or TypeScript.
• Strong understanding of REST APIs, HTTP, JSON, and API design.
• Experience with Express.js, NestJS, or similar Node.js frameworks.
• Good understanding of relational or NoSQL databases such as PostgreSQL, MySQL, or MongoDB.
• Knowledge of SQL and database design.
• Experience with Git/GitHub/GitLab/Bitbucket.
• Understanding of authentication mechanisms such as JWT/OAuth.
• Strong problem-solving and debugging skills.
• Good understanding of data structures, algorithms, and backend architecture.

Good to Have

• Experience with TypeScript.
• Knowledge of AWS / Azure / GCP.
• Experience with Docker and Kubernetes.
• Knowledge of Redis, Kafka, RabbitMQ, or other caching/message queue technologies.
• Experience with microservices architecture.
• Familiarity with CI/CD pipelines.

At BigThinkCode, our technology solves complex problems. We are looking for talented back-end (node.JS) engineer to join our at Chennai. 

Please find below our job description, if interested apply / reply sharing your profile to connect and discuss. 

Company: BigThinkCode Technologies 

URL: https://www.bigthinkcode.com/ 

Experience required: 1-2 years 

Work location: Chennai 

Joining time: Immediate – 4 weeks 

Work Mode: Work from office / Hybrid 

A skilled Node.js Developer with 1-2 years of experience in building scalable applications using event-driven architecture (EDA) within distributed systems. The ideal candidate should be comfortable in high-performance backend services and have a strong understanding of asynchronous programming patterns. 

Experience or exposure to knowledge embedding and vectorization techniques is a strong plus, especially in the context of modern data-driven or AI-powered systems. 

Required Skills & Qualifications 

• 1-2 years of hands-on experience with Node.js 
• Strong understanding of event-driven architecture and non-blocking I/O 
• Experience working with distributed systems and microservices architecture 
• Proficiency in RESTful API design and implementation. 
• Experience with databases such as MongoDB, PostgreSQL, or MySQL. 
• Experience with containerization tools like Docker and orchestration tools like Kubernetes 

Key Responsibilities 

• Design, develop, and maintain server-side applications using Node.js 
• Build and optimize scalable, event-driven systems in distributed environments 
• Implement asynchronous workflows, message queues, and pub/sub architectures 

Good to Have  

• Experience with knowledge embedding and vectorization techniques. 
• Familiarity with vector databases (e.g., Pinecone). 
• Understanding of cloud platforms (AWS, Azure, or GCP). 

Why Join Us: 

• Collaborative work environment. 
• Exposure to modern tools and scalable application architectures. 
• Medical cover for employee and eligible dependents. 
• Tax beneficial salary structure. 
• Comprehensive leave policy. 
• Competency development training programs. 

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.

Required Skills:

• Must have experience on VC++ / C++ application programming, Visual Studio.
• Should have thorough knowledge in OOPS (Object-Oriented Programming) concept.
•  Should have experience in MFC (atleast 2 projects).
• Should have a strong technical background on Windows or Linux
• Should be familiar with STL, COM, Multi-threading, Socket programming, Data structures.
• Candidates with Financial domain /capital market experience would be an added advantage.

Required Skills:

• Must have experience on VC++ / C++ application programming, Visual Studio.
• Should have thorough knowledge in OOPS (Object-Oriented Programming) concept.
•  Should have experience in MFC (atleast 2 projects).
• Should have a strong technical background on Windows or Linux
• Should be familiar with STL, COM, Multi-threading, Socket programming, Data structures.
• Candidates with Financial domain /capital market experience would be an added advantage.

Job Description:

We are looking for a skilled Python Developer with 2+ years of hands-on experience in backend development and data processing. The ideal candidate should be proficient in Python and have working experience with web frameworks like Flask and FastAPI, along with exposure to data engineering and machine learning workflows.

Key Responsibilities:

Design, develop, and maintain scalable Python applications and APIs using Flask and FastAPI

Work with PySpark and Kafka for real-time data processing

Perform data manipulation and analysis using Pandas and NumPy

Develop and maintain modular, reusable, and testable code following OOP principles

Collaborate with data scientists to integrate ML models (TensorFlow, PyTorch, Scikit-learn) into production

Participate in code reviews, design discussions, and contribute to best practices

Write and maintain documentation for developed modules and workflows

Required Skills:

Strong proficiency in Python programming

Hands-on experience with Flask and/or FastAPI

Experience working with PySpark and Kafka

Solid understanding of Pandas, NumPy, and data handling in Python

Familiarity with TensorFlow, PyTorch, and scikit-learn

Good grasp of Object-Oriented Programming (OOP) concepts

Ability to write modular and maintainable code

Nice to Have:

Understanding of Machine Learning concepts and pipelines

Exposure to Generative AI (GenAI) technologies and tools

Experience with CI/CD tools, Docker, or cloud environments (AWS, GCP, etc.)

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field

Key Responsibilities

● Lead the architecture, design, development, and delivery of scalable backend services

using Python.

● Own technical direction and architectural decisions for backend systems and services.

● Design and build robust RESTful APIs, microservices, and distributed systems

capable of handling high-scale workloads.

● Design and implement real-time communication systems, including WebSocket-based

services, where required.

● Drive system performance, scalability, reliability, availability, and security.

● Lead performance optimization, capacity planning, monitoring, debugging, and

production issue resolution.

● Establish and promote best practices around code quality, testing, observability, CI/CD,

and production readiness.

● Collaborate closely with frontend, product, DevOps, infrastructure, and other

cross-functional teams to deliver end-to-end solutions.

● Mentor and provide technical guidance to engineers, contributing to overall team growth

and engineering excellence.

● Review code and architecture designs, identify technical risks, and drive improvements

across backend systems.

● Take ownership of complex technical problems and deliver reliable, maintainable,

production-grade solutions.

Required Skills & Qualifications

● 5+ years of software engineering experience, with significant experience in backend

development.

● Strong expertise in Python and experience building production-grade backend

applications.

● Proven experience designing and developing REST APIs and microservices

architectures.

● Strong understanding of distributed systems, scalability, fault tolerance, and

high-availability architectures.

● Hands-on experience with WebSockets and real-time backend integrations.

● Strong experience with SQL/NoSQL databases, caching systems, and data-intensive

applications.

● Experience with performance optimization, monitoring, logging, debugging, and

production operations.

● Strong understanding of software engineering principles, design patterns, and clean

architecture.

● Proven ability to lead technical initiatives and make sound architectural decisions.

● Strong communication, collaboration, and technical leadership skills.

● Experience mentoring engineers and conducting effective code and design reviews.

We are looking for a Python Backend Developer to design, build, and maintain scalable backend services and APIs. The role involves working with modern Python frameworks, databases (SQL and NoSQL), and building well-tested, production-grade systems.

You will collaborate closely with frontend developers, AI/ML engineers, and system architects to deliver reliable and high-performance backend solutions.

Key Responsibilities

• Design, develop, and maintain backend services using Python
• Build and maintain RESTful APIs using FastAPI
• Design efficient data models and queries using MongoDB and SQL databases (PostgreSQL/MySQL)
• Ensure high performance, security, and scalability of backend systems
• Write unit tests, integration tests, and API tests to ensure code reliability
• Debug, troubleshoot, and resolve production issues
• Follow clean code practices, documentation, and version control workflows
• Participate in code reviews and contribute to technical discussions
• Work closely with cross-functional teams to translate requirements into technical solutions

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python
• Hands-on experience with FastAPI
• Experience with MongoDB (schema design, indexing, aggregation)
• Solid understanding of SQL databases and relational data modelling
• Experience writing and maintaining automated tests
• Unit testing (e.g., pytest)
• API testing
• Understanding of REST API design principles
• Familiarity with Git and collaborative development workflows

Good to Have

• Experience with async programming in Python (async/await)
• Knowledge of ORMs/ODMs (SQLAlchemy, Tortoise, Motor, etc.)
• Basic understanding of authentication & authorisation (JWT, OAuth)
• Exposure to Docker / containerised environments
• Experience working in Agile/Scrum teams

What We Value

• Strong problem-solving and debugging skills
• Attention to detail and commitment to quality
• Ability to write testable, maintainable, and well-documented code
• Ownership mindset and willingness to learn
• Teamwork

What We Offer

• Opportunity to work on real-world, production systems
• Technically challenging problems and ownership of components
• Collaborative engineering culture

AI Agent Frameworks, LangChain, LlamaIndex, OpenAI API,Zapier, HTML5, CSS3, JavaScript,bootstrap3.1,TypeScript, React.js, Next.js, Vue.js, Node.js, Python, PHP, WordPress, Headless CMS, DNS Management, SSL Configuration, Conversion Rate Optimization (CRO), A/B Testing, AWS, Google Cloud Platform (GCP), Cloudflare CDN, AWS S3, Core Web Vitals, Google Trends, Google Search Console, Ahrefs, SEMrush, Google Analytics 4 (GA4), Google Tag Manager (GTM), Meta WhatsApp Cloud API, Twilio, Webhooks, MSG91, REST APIs,claude,github,MYSQL

Backend Engineer - Oddr

About Oddr

Oddr is a modern enterprise platform purpose-built for professional services firms. We handle the financial nervous system of some of the world's most demanding clients - invoicing, payments, and revenue intelligence at scale. Our systems process high-stakes, high-volume financial workflows where correctness and reliability are non-negotiable. We're a small, senior-leaning team. Engineers here own systems end to-end, make real architectural decisions, and ship things that matter.

The Role

This is a deep, hands-on individual contributor role. You'll be working on the core backend platform - designing APIs, building scalable workflows, hardening infrastructure, and setting the technical bar for the team around you. You won't be managing people, but you'll naturally

raise everyone's game through code reviews, technical guidance, and the quality of your own work. If you thrive in environments with high ownership, low bureaucracy, and genuinely hard problems, this is the role for you.

What You'll Do

Core Platform Development

Design and build reliable, scalable backend systems using .NET Core. Architect RESTful APIs and business workflow orchestration that hold up under real enterprise load. Make considered tradeoffs between correctness, performance, and maintainability.

Cloud & Infrastructure

Own backend services on Microsoft Azure - app services, databases, messaging, storage, and access management. Work closely with DevOps to improve deployment pipelines and infrastructure reliability.

CI/CD & DevOps Collaboration

Support and improve CI/CD pipelines for fast, safe deployments. Bring a production-minded perspective to automation, rollback strategies, and release confidence.

Security & Compliance

Proactively embed security into the development process - secure coding practices, data protection, access controls, and compliance awareness relevant to enterprise financial systems.

Quality & Observability

Set standards for testing (unit, integration, e2e), code review, and observability. You should care deeply about knowing when things break before customers do.

Technical Mentorship

Unblock engineers around you. Share context, raise the quality of code reviews, and help the

team develop good engineering intuition - without needing a management title to do it.

What We're Looking For

Required

• 6 -10 years of backend engineering experience with strong depth in .NET Core.

• Solid understanding of RESTful API design, service architecture, and distributed systems.

• Strong relational database skills - schema design, query optimization, indexing (PostgreSQL or SQL Server)• Security-conscious mindset with practical experience applying secure coding practices

• Ability to operate independently in a fast-moving, ambiguous environment

Strong Plus

• Experience with multi-tenant SaaS architecture and tenant isolation patterns

• Hands-on experience with Microsoft Azure (App Services, SQL, Service Bus, Key Vault, etc.)

• Experience with CI/CD tooling and deployment automation

• Background in financial systems - payments, invoicing, reconciliation, audit trails

• Exposure to event-driven architecture, background job processing,and async workflows.

• Prior experience in a tech lead, staff engineer, or equivalent hands-on senior role.

What We Offer

• Competitive salary and benefits

• A small team where your decisions actually shape the product

• Hard problems worth solving - no ticket-factory work

• Flexibility and trust to get things done your way

Golang Developer

Experience: 6-8 years

Employment Type: Contractual, Full-time

Desired Skill: Golang, GRPC, RestAPIs, AWS

Work Mode: Pune, India

Availability: Immediate Joiners

This is the contractual opportunity on a full time basis.

Must have skills:

● 6+years of Software Development experience

● 5+years of GoLang programming; Prefers additional proficiency in either Java or Python

● Knowledgeable in writing REST APIs

● Comfortable programming in production grade systems

● Experience with building HTTP based services

● Strong background of optimizing performance

● Familiarity with event-driven systems

● Experience dealing with highly concurrent, distributed architectures/systems.

Good to have skills:

• Exposure to relational databases
• Experience with Cloud Providers such as AWS is an advantage; cloud privileged access (CIEM, IAM roles, ephemeral credentials)
• Experience using Terraform to manage infrastructure as code would be an advantage
• Hands-on experience building or extending Privileged Access Management (PAM) capabilities — credential vaulting, secrets management, password rotation, just-in-time / time-bound privileged access
• Working knowledge of privileged session management and session recording — session proxying/brokering, keystroke and video capture, session replay, live monitoring and termination, tamper-evident audit trails
• Familiarity with remote access protocols and gateways — SSH, RDP, HTTPS/web-based sessions; protocol proxying and man-in-the-middle session interception

Job Description

• Lead Ecommerce Solution Design and Development: Spearhead the design and development of scalable, secure, and high-performance solutions for our ecommerce platform using Java Spring Boot.
• Collaborate with Cross-Functional Teams: Work closely with product managers, UI/UX designers, and quality assurance teams to gather requirements and deliver exceptional ecommerce solutions.
• Architectural Oversight: Provide architectural oversight for ecommerce projects, ensuring they are scalable, maintainable, and aligned with industry best practices.
• Technical Leadership: Lead and mentor a team of Java developers, fostering a collaborative and innovative environment. Provide technical guidance and support to team members.
• Code Review and Quality Assurance: Conduct regular code reviews to maintain code quality, ensuring adherence to Java Spring Boot coding standards and best practices. Implement and promote quality assurance processes within the development lifecycle.
• Integration of Ecommerce Solutions: Oversee the seamless integration of ecommerce solutions with other business systems, ensuring a cohesive and efficient data flow.
• Payment Gateway Integration: Collaborate on the integration of payment gateways and other essential ecommerce functionalities.
• Stay Informed on Ecommerce Technologies:Stay abreast of the latest developments in ecommerce technologies, incorporating new features and improvements based on emerging trends.
• Client Interaction:
• Engage with clients to understand their ecommerce requirements, provide technical insights, and ensure the successful implementation of solutions.

Desired Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of software development experience, with a significant focus on Java Spring Boot development and ecommerce platforms.
• Proven expertise in designing and developing ecommerce solutions using Java Spring Boot, with a deep understanding of the framework.
• Familiarity with ecommerce platforms, including payment gateways, inventory management, and order processing.
•  Strong proficiency in Java and Spring Boot technologies, with experience in microservices architecture.
• Java 8 or above latest version hands on
•  Microservices architecture, Spring boot REST hands-on (min 3 yrs experience mandatory)
•  Well versed with at least one cloud- AWS/GCP/Azure (min 2 yrs experience mandatory)
•  Kubernetes, Docker, Containerisation (Mandatory)
•  Kafka, RabbitMQ, etc
•  MySQL, MongoDB, PostgreSQL or any 1 RDBMS and 1 NoSQL DB hands on experience  
•  Experience with any in-memory caching mechanism like Redis. Hazelcast, etc
• Good understanding of DSA and their applications
• Excellent problem-solving skills, showcasing the ability to address complex challenges in ecommerce solution development.
• Strong communication skills to facilitate effective interactions with team members, clients, and other stakeholders.
• Experience working with Agile methodologies and advanced proficiency in version control systems.

Job Description

• Lead Custom Odoo Application Design and Development: Provide leadership in designing and developing custom Odoo applications, ensuring alignment with business requirements and scalability.
• Collaborate Across Teams: Foster effective collaboration with cross-functional teams, including business analysts, project managers, and quality assurance, to identify and implement innovative solutions.
• Manage Odoo Application Lifecycle: Oversee the complete lifecycle of Odoo applications, from initial design and development to ongoing maintenance and upgrades for optimal performance.
• Technical Issue Resolution: Take a proactive role in troubleshooting and efficiently resolving technical issues during development and maintenance phases to ensure a seamless user experience.
• Mentor and Develop Team: Lead and mentor a team of developers, fostering their growth and development within the Odoo development domain.
• Stay Current with Odoo Framework Advances: Stay abreast of the latest developments in the Odoo framework and related technologies, incorporating new knowledge into ongoing projects.
• Drive Innovation and Best Practices: Champion innovation and best practices in Odoo development, driving the adoption of efficient and effective methodologies within the team.
• Client Interaction: Engage with clients to understand their business requirements, provide technical insights, and ensure the successful delivery of Odoo solutions.

Desired Skills:

• Bachelor’s degree in a related field or Computer Science.
• Minimum of 7 years of experience in software development, with a substantial focus on Odoo development.
• Strong proficiency in Python, XML, and SQL, showcasing advanced technical skills in designing and developing robust Odoo solutions.
• Proven leadership skills, with the ability to lead and mentor a team of developers effectively.
• Excellent problem-solving skills, demonstrating an ability to address complex challenges independently or collaboratively.
• 3wedStrong communication skills to facilitate effective interactions with team members, clients, and other stakeholders.
• Experience working with Agile methodologies and advanced proficiency in Git version control.

Required Skills:

• Must have experience on VC++ / C++ application programming, Visual Studio.
• Should have thorough knowledge in OOPS (Object-Oriented Programming) concept.
•  Should have experience in MFC .
• Should have a strong technical background on Windows or Linux
• Should be familiar with STL, COM, Multi-threading, Socket programming, Data structures.
• Candidates with Financial domain /capital market experience would be an added advantage.

Notice Period : Immediate to 30 Days

Required Skills:

• Must have experience on VC++ / C++ application programming, Visual Studio.
• Should have thorough knowledge in OOPS (Object-Oriented Programming) concept.
•  Should have experience in MFC .
• Should have a strong technical background on Windows or Linux
• Should be familiar with STL, COM, Multi-threading, Socket programming, Data structures.
• Candidates with Financial domain /capital market experience would be an added advantage.

Notice Period : Immediate to 30 Days

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: Java Developer

Experience: 5+ Years

Location: Bangalore

Work Mode: Hybrid

Mandatory Skills:

• Strong experience in Java, Spring Boot & Microservices
• Hands-on experience with Apache Kafka
• Experience working with Git, REST APIs & SQL
• Good understanding of Generative AI / GitHub Copilot
• Strong knowledge of software development, debugging and performance optimization
• Good communication and problem-solving skills

Role & Responsibilities:

• Design, develop and maintain scalable Java-based applications.
• Develop and integrate Kafka-based event-driven services.
• Utilize Copilot/AI-assisted development tools to improve development productivity.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in code reviews, testing and production support.

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.

Experience - 4 to 6 year

Location – Ahmedabad/Pune/Indore

• Additional Job Description

Additional Job Description

Required Skills and Experience: 

• Strong proficiency in Python and experience with ML/AI libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face ecosystem).
• Hands-on experience with LLMs, RAG, vector databases, and retrieval pipelines.
• Practical experience deploying agentic workflows and building multi-step, tool-enabled agents.
• Experience using Garak (or similar LLM red-teaming/vulnerability scanners) to identify model weaknesses and harden deployments.
• Demonstrated experience implementing content filtering / moderation systems.
• Solid skills working with structured and unstructured data and advanced feature engineering.
• Familiarity with cloud GenAI platforms and services (Azure AI Services preferred; AWS/GCP acceptable).
• Experience building APIs/microservices; containerization (Docker), orchestration (Kubernetes).
• Strong understanding of model evaluation, performance profiling, inference cost optimization, and observability.
• Good knowledge of security, data governance, and privacy best practices for AI systems.

Role Overview

We are looking for an experienced Oracle EBS PTM/SCM Functional Consultant with 8–10 years of experience in Oracle Supply Chain Management, with strong hands-on expertise in Oracle Cloud Inventory and secondary expertise in Oracle Cloud Costing.

The ideal candidate should have strong experience working in Oracle Cloud environments, with the ability to understand business processes, prepare functional documentation, support technical development teams, and work on integrations, migration objects, and reports. Prior experience in Oracle EBS is preferred, while strong and recent Oracle Cloud SCM experience is mandatory.

Key Responsibilities

• Provide functional expertise in Oracle Cloud Inventory, with Oracle Cloud Costing as a secondary area.
• Analyze business requirements and translate them into Oracle Cloud SCM functional solutions.
• Work as a Functional / Techno-Functional Consultant across Oracle Cloud Supply Chain processes.
• Configure and support Oracle Cloud Inventory and Costing modules based on business requirements.
• Prepare detailed functional design documents for RICE objects, including reports, integrations, conversions, extensions, and other custom requirements.
• Collaborate closely with technical teams and provide functional specifications, clarifications, and development support.
• Support the design and implementation of custom integrations between Oracle Cloud and boundary applications such as WMS, 3PL, and other Supply Chain applications.
• Work on integration requirements specifically related to Inventory and Costing processes.
• Support data migration/conversion activities, including defining migration requirements, data mapping, validation, and reconciliation.
• Provide functional support for custom reports and interfaces, including requirement analysis and functional validation.
• Participate in solution design, testing, defect resolution, deployment, and post-production support.
• Understand end-to-end Oracle Cloud SCM business processes and their impact on Inventory and Costing.
• Collaborate with business stakeholders, technical teams, integration teams, and other functional teams to deliver solutions.
• Support SIT/UAT activities and assist in resolving functional and integration issues.
• Ensure proper documentation of business processes, functional specifications, configurations, test scenarios, and solution designs.

Mandatory Skills

• 8–10 years of overall experience in Oracle SCM / PTM.
• Strong hands-on experience in Oracle Cloud Inventory.
• Good working experience in Oracle Cloud Costing as a secondary module.
• Proven experience working as a Functional Consultant in Oracle Cloud environments.
• Strong experience in preparing functional design documents for RICE objects.
• Ability to work closely with technical/development teams and provide functional guidance during development.
• Experience with Oracle Cloud Supply Chain processes.
• Exposure to integrations with boundary applications such as WMS, 3PL, and other external Supply Chain systems.
• Ability to work in a Techno-Functional capacity.
• Exposure to custom integrations, migration/conversion objects, and reports.
• Strong analytical, problem-solving, communication, and documentation skills.

Good to Have

• Prior experience with Oracle EBS SCM and related Supply Chain modules.
• Experience transitioning or supporting solutions across Oracle EBS and Oracle Cloud environments.
• Strong understanding of end-to-end Supply Chain processes.
• Experience working on complex Oracle Cloud implementations, rollouts, or support engagements.
• Exposure to integration architecture and troubleshooting.
• Experience in preparing functional specifications, mapping documents, test scripts, and other project documentation.

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or a related field.
• Relevant Oracle certifications will be an added advantage.

I

Core Expertise: Oracle Cloud Inventory | Oracle Cloud Costing | Oracle SCM | Oracle EBS | RICE Objects | WMS/3PL Integrations | Functional Documentation | Techno-Functional Consulting

We are seeking an experienced JD Edwards (JDE) EnterpriseOne SCM / Manufacturing Functional Consultant with 6+ years of hands-on experience in JDE Supply Chain and Manufacturing modules. The ideal candidate will have strong functional expertise in manufacturing business processes, JDE configuration, implementation, enhancement, testing, and production support.

The consultant will work closely with business stakeholders, manufacturing and supply chain teams, and technical/development teams to translate business requirements into effective JDE solutions and drive improvements across manufacturing and end-to-end supply chain processes.

Key Responsibilities

• Provide functional expertise in JD Edwards EnterpriseOne SCM and Manufacturing modules, with strong hands-on knowledge of manufacturing business processes.
• Configure, implement, enhance, and support:
• Manufacturing
• Shop Floor Management
• Product Data Management
• Inventory Management
• Requirements Planning, including MRP, MPS, and DRP
• Work extensively with Bills of Material (BOMs), routings, work centers, work orders, production scheduling, material issues, completions, and shop-floor execution.
• Gather and analyze business requirements and conduct fit-gap analysis to identify appropriate JDE solutions.
• Prepare functional specifications and translate manufacturing and supply chain requirements into scalable and effective JDE configurations and solutions.
• Support JDE implementations, enhancements, testing, production support, troubleshooting, and root-cause analysis.
• Work closely with technical and development teams on functional requirements, customizations, integrations, testing, and issue resolution.
• Collaborate with manufacturing, supply chain, planning, procurement, inventory, and business stakeholders to improve:
• Production planning
• Material availability
• Inventory flow
• Shop-floor execution
• Overall operational efficiency
• Support end-to-end integrations and business processes across Manufacturing, Inventory, Procurement, Sales Order Management, and Finance.
• Ensure consistency and integrity of master data, transactional data, and business processes across JDE modules.
• Participate in system and integration testing, including test planning, test execution, defect identification, and resolution.
• Troubleshoot production issues, perform root-cause analysis, and recommend sustainable functional solutions.
• Prepare functional documentation, process flows, configuration documents, and user guides.
• Provide user training, knowledge transfer, and ongoing functional support to business teams.
• Contribute to continuous improvement initiatives and identify opportunities to optimize JDE manufacturing and SCM processes.

Required Skills & Experience

• 6+ years of experience with JD Edwards EnterpriseOne SCM / Manufacturing.
• Strong hands-on functional experience with JDE Manufacturing and Supply Chain processes.
• Strong knowledge of:
• Manufacturing
• Shop Floor Management

We are seeking an experienced Fusion Receivables Functional Consultant with following skills:

• Designing Oracle Fusion Receivables process flows to handle data migrations, transformation and orchestration of Interfaces between third party systems and Oracle Cloud.
• Responsible for designing, developing, and maintaining expert level skills on Fusion Receivables.
• Demonstrated experience in gathering and documenting business requirements, leading fit-gap analysis, conference room pilots (CRPs) functional configuration, testing, client user training.
• Design and develop integrations to/from Oracle ERP Fusion receivables FBDI File Uploads.

Looking for mid-senior with 5-10 years of experience in Oracle cloud planning (supply, demand and S&OP) with implementation experience. Good communication.

Key responsibilities: Must to have –

• Demand Management: forecast methods and profiles, causal factor setup, forecast tree hierarchies across product/geography/customer, and statistical forecasting engine configuration
• Supply Planning: plan definitions, supply/demand netting, planning parameters, exception messages, simulation sets, and plan run configuration
• Understanding of Planning Data Collections, including data flow from Order Orchestration, Inventory, Manufacturing, and Order Management into planning
• Familiarity with related modules such as Inventory Management, Manufacturing, and Order Management, since planning outputs directly drive these areas

Good to Have

• Experience in Inventory Management
• Experience in Manufacturing
• Experience in Order Management

We are seeking an experienced Oracle Fusion Cloud Revenue Management Cloud Service, or RMCS, Functional Consultant to support the design, implementation, and optimization of revenue recognition processes. The consultant will translate approved business and accounting requirements into Oracle Fusion RMCS configurations, integrations, reports, controls, and operating procedures.

• The role requires strong knowledge of revenue management processes under ASC 606 and IFRS 15, along with hands-on experience configuring revenue contracts, performance obligations, standalone selling prices, revenue schedules, and accounting distributions. 

Role Summary

Own the end-to-end Cloud & ITO practice engine—build and take platform/solution-led offers to market, drive rapid expansion across existing accounts, and run a scalable, profitable managed services model (CloudOps/InfraOps/DevSecOps/SRE). This role is accountable for GTM + delivery governance + margin with strong standards, automation, FinOps discipline, and measurable operational outcomes (availability, cost, cycle time, MTTR).

Key Responsibilities

Create & Take Offers to Market (Platform / Solutions-Led)

Build signature offers with clear outcomes, scope boundaries, and pricing/GM guardrails across Cloud Migration & Modernization, CloudOps/Managed Cloud Services, DevSecOps enablement & platform engineering, SRE/reliability engineering, FinOps from Day‑1, and hybrid/multicloud operating models.

Own assets that win: reference architectures, runbooks, proposal modules, ROI/TCO models, and demo/POV kits.

Lead platform-first positioning: “solution + operating model” with dashboards, governance, and measurable outcomes.

Rapid Expansion Across Existing Accounts (Land-and-Expand)

Create expansion plays inside current accounts: cloud cost optimization, reliability uplift, security hardening, DC exit, managed services takeovers, and automation of ops.

Partner with Sales to build account expansion blueprints and convert them via workshops/POVs.

Operate a consistent pipeline-to-expansion cadence: discovery → workshop/POV → scale program.

Managed Services Ownership (Cloud + Infra + Ops)

Stand up and scale Managed Cloud & Infrastructure Services: L2/L3 support model, ITIL-aligned processes, SLAs/OLAs, on-call, and incident/problem/change management.

Define a service catalog, runbooks, shift-left playbooks, and automation-first operations (ticket deflection, self-heal, IaC).

Establish governance: weekly ops reviews, monthly service reviews, and continual improvement plans (CIP).

Delivery Excellence & Profitability

Run a profitable model: utilization/pyramid health, delivery productivity, margin realization, leakage control, and change-order discipline.

Ensure operational compliance and audit readiness (security, access controls, change control).

Drive standardization and reuse of accelerators (IaC modules, golden pipelines, monitoring templates, hardening baselines).

Tool & Partner Ecosystem

Drive partner-led motions with hyperscalers and key platform providers; define co-sell plays and enablement.

Prevent tool sprawl: standardize toolchain and enforce engineering standards and controls across accounts.

Talent & Practice Build-out

Build/lead architects, CloudOps leads, SRE, DevSecOps, network/infra SMEs; define competency tracks and certifications.

Create a skills-to-demand plan and maintain a deployment-first model with bench-to-billable conversion discipline.

Areas of Expertise / Experience

Cloud architecture and engineering on AWS/Azure/GCP; hybrid and multicloud patterns

CloudOps/InfraOps managed services: ITSM, L2/L3 operations, SRE/observability, service governance

DevSecOps and platform engineering: CI/CD, IaC, environment automation, policy-as-code

FinOps: unit cost models, tagging standards, rightsizing, RI/SP governance, chargeback/showback

Security posture management: IAM patterns, CSPM, vulnerability management, change/access controls

Automation-first operations: self-healing, runbook automation, ticket deflection, reliability engineering

Success Metrics

Growth + expansion: bookings/pipeline, win-rate, and expansion penetration across existing accounts

Operational outcomes: SLA attainment, MTTR/incident reduction, change success rate, uptime/service reliability

Cost & efficiency: unit cost reduction, rightsizing savings, automation coverage, ticket deflection/shift-left

Profitability: GM at booking + realization, utilization, estimation variance/leakage control

Scalability: reuse of accelerators/IaC, certification progress, partner-sourced pipeline

Tool Expertise & Platforms (expected/preferred)

Cloud

AWS / Azure / GCP (architecture + operations)

IaC & Configuration

Terraform, CloudFormation/Bicep, Ansible

CI/CD & DevSecOps

GitHub/GitLab/Jenkins/Azure DevOps

SAST/DAST; secrets management

Observability/APM

Datadog, New Relic, Dynatrace, Prometheus/Grafana, ELK/Splunk

ITSM

ServiceNow (preferred), Jira Service Management

Security & Posture

CSPM (e.g., Prisma Cloud / Microsoft Defender for Cloud), policy-as-code, IAM patterns

FinOps

Tagging standards, dashboards, RI/SP governance; chargeback/showback

Experience

15–18+ years in cloud/infra/ITO leadership; 5+ years running managed services or practice portfolios.

Strong pursuit leadership across discovery → solution → estimate → SoW → delivery handoff; comfort owning GM guardrails.

Proven record of building repeatable offers and scaling operations with measurable outcomes.

Skills

cloud architecture and engineering

managed services leadershipdevsecops and platform engineeringsite reliability engineering srefinops and cost optimizationsecurity and compliance

• We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems — ensuring production-grade quality, scalability, and compliance. 
• You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. 

Key Responsibilities

Architecture & Technical Leadership

Hands-on Engineering & Problem Solving

Required Qualifications

Education : B.Tech/M.Tech or equivalent in Computer Science, Data Science, or a related field.

Experience

● 10+ years in software architecture or engineering with 5+ years in applied AI/ML

system delivery.

● Experience in productionizing AI/ML models and building full-stack AI applications in

enterprise settings.

● Strong Python development skills; proficiency in ML/AI frameworks (PyTorch,

TensorFlow, Scikit-learn).

● Strong understanding of LLMs, RAG pipelines, vector databases (Weaviate, Qdrant,

Pinecone).

● Experience with MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow.

● Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow.

● Exposure to agent orchestration frameworks: LangChain, LangGraph, AutoGen,

CrewAI is a big plus.

● Cloud & Infrastructure

● Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway)

and/or Azure (Azure ML, OpenAI, Synapse).

● Expertise in containerization (Docker) and orchestration (Kubernetes).

● Familiarity with Infrastructure as Code (Terraform, Pulumi, CDK).

Soft Skills

Strong architectural thinking and problem-solving in fast-paced delivery environments.

Excellent communication and collaboration skills to work across cross-functional teams and

clients.

Proactive, structured, and detail-oriented with a bias for execution.

Nice to Have

Experience in real-world deployments of Agentic AI systems or collaborative multi-agent setups.

Exposure to regulatory/ethical concerns in AI such as fairness, transparency, or bias mitigation.

Familiarity with AI observability, explainability, and governance tooling (e.g., Arize, Fiddler,

TruEra).

Nature of Assignment

• We are looking for an experienced Senior Software Engineer – Backend Development to develop and enhance enterprise-grade scientific and workflow-driven software solutions. The role requires strong technical expertise in Python-based backend 

development, API design, microservices, and modern software engineering practices.

• As a senior member of the engineering team, you will own the design, development, testing, and delivery of complex software components while collaborating closely with Product Management, Quality Engineering, Front-End Development, DevOps, and global engineering teams. The ideal candidate is passionate about building high-quality software, solving complex technical problems, and delivering reliable, maintainable, and scalable solutions.

Key Responsibilities

• Design, develop, and maintain scalable, secure, and high-performance backend applications using Python, FastAPI, and Uvicorn.

• Design and implement RESTful APIs, Backend-for-Frontend (BFF) services, and microservices that support complex business workflows and enterprise integrations.

• Drive modernization initiatives by refactoring legacy applications into modular, cloudready, service-oriented architectures.

• Implement robust business logic, validation, exception handling, asynchronous processing, data persistence, reporting, and workflow orchestration following industry best practices.

• Ensure secure coding practices by applying web application security principles, authentication and authorization standards, and vulnerability mitigation techniques.

• Own end-to-end delivery of features from requirement analysis and technical design through development, testing, deployment, and production support.

• Analyze, troubleshoot, and resolve complex product, integration, and production issues using logs, debugging tools, and root-cause analysis techniques.

• Develop comprehensive unit, integration, API, and regression tests to ensure software quality and reliability.

• Support CI/CD processes, deployment validation, release readiness, and environment verification activities.

• Contribute to technical documentation, API specifications, and knowledge-sharing initiatives.

• Collaborate closely with Product Management, UI teams, QA, DevOps, and Architecture teams to deliver high-quality software solutions.

• Mentor junior engineersthrough code reviews, technical guidance, and knowledge sharing.

Qualification/s

• Bachelor’s/master’s degree in computer science, Software Engineering, Information Technology, or a related discipline.

Technical Expertise

• Strong hands-on software development experience in Python backend development.

• Extensive experience developing REST APIs using FastAPI, Uvicorn, and modern Python ecosystem frameworks.

• Strong understanding of microservices, distributed systems, API-first design, and Backend-for-Frontend (BFF) architecture.

• Proficiency in Object-Oriented Programming (OOP), SOLID principles, design patterns, and clean code practices.

• Solid experience in asynchronous programming, dependency injection, API validation, exception handling, and performance optimization.

• Strong knowledge of web application security including OAuth2, JWT, OpenID Connect, SSO, secure coding practices, OWASP principles, and vulnerability remediation.

• Strong knowledge in Logging, Monitoring & Troubleshooting – Production support, observability, performance tuning, and root-cause analysis.

• Hands-on experience with Git, branch management strategies, pull requests, and collaborative development workflows.

• Experience building and maintaining CI/CD pipelines using modern DevOps tools and automated release processes.

• Hands-on experience in testing frameworks such as PyTest and automation of units, integration, API, and regression testing.

• Experience with SQL /NoSQL databases, data modeling, query optimization, and backend data management.

• Strong debugging, analytical, and problem-solving skills with the ability to diagnose issues across applications, infrastructure, and deployment layers.

• Experience independently leading technical initiatives and delivering production grade software solutions

• Excellent collaboration and communication skills within cross-functional Agile teams

• 7+ years of experience as senior ABAP developer  
• Hands-on SAP development experience in Classic ABAP/ ABAP OO / CDS / AMDP  
• Hands-on SAP development experience in RAP (utilizing both managed and unmanaged implementations, clear understanding of the different benefits of each implementation, available artifacts, and their purpose)  
• Strong experience in developing SAP applications using Fiori Elements 
• Strong experience with REST API and BAPI 
• Strong troubleshooting skills.  
• Fluent English language skills oral and written 

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

We are a San Francisco-based AI infrastructure company working with leading frontier AI labs to build post-training data and evaluation infrastructure for foundation models. We are hiring a Python Developer to create high-quality datasets, reinforcement learning environments, and benchmarking pipelines used to improve and evaluate state-of-the-art LLMs. This is a remote role with flexible working hours.

Responsibilities

* Create and curate datasets for LLM post-training (SFT, RLHF, RL, preference optimization).

* Build and maintain RL environments for agent evaluation.

* Develop Python tooling for dataset generation, validation, and transformation.

* Evaluate models on custom benchmarks and testing pipelines.

* Collaborate with research and engineering teams to deliver client-specific post-training datasets.

* Work with terminal-first development workflows and cloud infrastructure.

Required Skills

* Strong Python programming skills.

* Understanding of LLM fundamentals and post-training concepts (SFT, RLHF, RL).

* Experience working with structured data (JSON, CSV, YAML).

* Git, Linux/Unix command line, and solid software engineering fundamentals.

Good to Have

Experience with RAG, agentic AI systems, Hugging Face Transformers, LoRA/PEFT, LangChain or LlamaIndex, vector databases (FAISS, Qdrant, Milvus, Pinecone, Weaviate, ChromaDB), Docker, AWS/GCP, FastAPI/Flask, Bash, CLI tooling, model evaluation frameworks, benchmarking, and AI infrastructure.

Compensation

Base Salary: USD $1,250/month

Equity: ESOP/Equity package included.

Performance Bonuses: Up to USD $4,000/month (in addition to base salary).

Location

Remote (Worldwide)

Work Hours

Flexible, remote-first, asynchronous work environment.

How to Apply

Apply here: https://tally.so/r/wLReJG

Please complete the application form and submit the required details. Only shortlisted candidates will be contacted.

🚀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

Senior Software Engineer – Backend

Company: House of EdTech (Goenka Kachave LLP)

Location: Bangalore, Hybrid

Job Type: Full-Time

Experience: 5+ Years

About the Role

House of EdTech is looking for a Senior Software Engineer – Backend to design, develop, and scale high-performance backend services and APIs supporting products used by millions of learners.

You’ll work closely with Product, Frontend, Data, and Engineering teams while taking end-to-end ownership of backend features and contributing to system architecture and technical decisions.

What You'll Do

• Design and develop scalable backend services and REST APIs.
• Build reliable systems capable of handling high traffic and large data volumes.
• Own backend features from design and development through deployment and monitoring.
• Work with microservices, databases, and distributed systems.
• Identify and solve performance, scalability, reliability, and security challenges.
• Participate in system design and architecture discussions.
• Conduct code reviews and contribute to engineering best practices.
• Mentor junior and mid-level engineers.
• Monitor production systems and troubleshoot incidents.

What We're Looking For

• 5+ years of professional backend development experience.
• Strong hands-on experience with Java, Python, Scala, C++, or a similar language.
• Experience building and operating large-scale distributed systems.
• Strong understanding of REST APIs, microservices, and databases.
• Experience with cloud/infrastructure technologies such as GCP, Docker, or Kubernetes.
• Strong software engineering fundamentals, including security, reliability, testing, and code quality.
• Experience with system design, architecture, and technical decision-making.
• Strong communication and cross-functional collaboration skills.
• Experience mentoring engineers is a plus.

Why Join House of EdTech?

• Work on products impacting millions of learners.
• Solve challenging backend and scalability problems.
• Take significant ownership of architecture and engineering decisions.
• Opportunity to grow into technical leadership and architectural ownership.
• Work in a fast-growing technology environment.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions for the digital enterprise. Operating at the intersection of cloud computing and enterprise software, the company develops high-performance platforms that streamline complex business operations. With a strong presence in the Bangalore tech ecosystem, Euphoric Thought Technologies supports clients across diverse sectors by delivering robust, secure, and efficient backend architectures that power modern digital experiences.

Role Overview:

As a Java Developer, you will be responsible for designing and maintaining the core backend systems that drive our client platforms. You will work closely with cross-functional product and engineering teams to translate complex business requirements into high-quality, maintainable code. Your contribution will directly impact the scalability and reliability of our services, ensuring that our end-users experience seamless performance as we continue to expand our technical footprint.

Key Responsibilities:

- Develop and maintain high-performance backend services using Java and Spring Boot to ensure system reliability for our enterprise clients.

- Design and implement scalable microservices architectures that allow for modular growth and easier maintenance of complex application features.

- Optimize database interactions and data persistence layers using Hibernate to improve application speed and resource efficiency.

- Build and expose secure RESTful web services to facilitate seamless communication between internal systems and third-party integrations.

- Deploy and manage application infrastructure on AWS to ensure high availability and fault tolerance for mission-critical business processes.

- Collaborate with engineering leads and stakeholders to troubleshoot production issues and implement performance enhancements that improve the overall user experience.

Required Skillset:

- Demonstrated expertise in Java development with 3 to 6 years of hands-on experience in building enterprise-grade applications.

- Proficiency in Spring Boot and Hibernate for developing robust backend frameworks and managing complex data models.

- Strong understanding of microservices architecture and the ability to design decoupled, scalable service components.

- Practical experience in developing and consuming RESTful web services within a distributed environment.

- Hands-on experience with AWS services for cloud deployment, monitoring, and infrastructure management.

- Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.

- Ability to work effectively in a hybrid office environment in Bangalore, collaborating with distributed teams to meet project milestones.

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 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.

About PortOne

PortOne is building the reconciliation and data intelligence layer for payments across Korea and international markets. We are a Series B startup backed by Softbank and Hanwa Capital, powering multi-billion dollars in annualised settlement volume for 2,000+ merchants across Korea, Thailand, Singapore, Indonesia, and beyond.

We are building AI-native products for leading brands — intelligent automation layers on top of complex financial data pipelines. If you want to work at the intersection of fintech, data engineering, and applied AI, this is your role.

Culture and Values

* You will be joining a team that stands for making a difference.

* You will be joining a culture that identifies more with Sports Teams rather than a 9 to 5 workplace.

* Your will have peers who are/have

** Highly Self Driven with A sense of purpose

** High Energy Levels - Building stuff is your sport

** Ownership - Solve customer problems end to end - Customer is your Boss

** Hunger to learn - Highly motivated to keep developing new tech skill sets

Your Work Ethic

* You are an athlete and building apps is your sport.

* Your passion drives you to learn and build stuff and not because your manager tells you to.

* You obsess over correctness — a bug in a settlement figure or a silent data drop is not acceptable to you.

* You have an eye for detail that most engineers skip past, and you take pride in getting it exactly right.

* Your work ethic is that of an athlete preparing for your next marathon. Your sport drives you and you like being in the zone.

* You are NOT a clockwatcher renting out your time, and NOT have an attitude of "I will do only what is asked for"

What will you do?

• Build and maintain financial data ingestion pipelines that pull settlement and transaction data from marketplace platforms (Amazon, Shopee, TikTok, Qoo10, Rakuten) on behalf of large brands operating across multiple Asian markets.
• Own reconciliation workflows end-to-end — from raw marketplace data to verified, merchant-ready settlement reports — ensuring every figure is correct and every discrepancy is surfaced, not swallowed.
• Design and implement AI-native features that automate financial analysis: agentic triage of settlement mismatches, root-cause detection across large transaction volumes, and intelligent alerting for ops and merchant teams.
• Instrument data quality and health monitoring so that silent failures — missing records, schema shifts, delayed ingestion — are caught before they reach the merchant.
• Build APIs and tooling that enable PortOne's ops and merchant success teams to investigate, verify, and close financial discrepancies faster and with more confidence.
• Expand platform coverage by integrating new marketplaces and new report types, working closely with data formats that are often inconsistent, undocumented, or changing without notice.
• Uphold rigorous engineering standards — correctness in financial data is not negotiable, and you treat edge cases and off-by-one errors with the same seriousness as a production incident.
• Uphold high engineering standards across codebases and processes.
• Collaborate with product, design, infrastructure, and operations stakeholders.

Skills and Experience

* Have ideally 2 to 4 Years of experience shipping high quality products/live features and workflows

* Strong backend engineering foundation — Go (Preferred), Python, or equivalent; REST/gRPC APIs; database design.

* Understands how to build scalable, resilient, and observable distributed systems.

* Must have built data flows and applications end to end taking full ownership

Preferred Skills and Background

*Prior experience/built apps in golang backend

*Data and data engineering background — comfortable with data pipelines, ETL/ELT patterns, event-driven architectures, reconciliation logic, or analytical workloads.

*AI-native development — you build products where AI is a first-class component, not a bolt-on.

*AI agentic development — experience building or working with agent frameworks, tool-use patterns, LLM orchestration, or automated reasoning pipelines.

AI Engineer

We are seeking an AI Engineering specialist focused on AI evaluation, and continuous quality improvement for Ezra MetLife's employee-facing AI platform. This role will establish and scale the testing strategy for enterprise AI agents, ensuring high response quality, reliability, and production readiness. The engineer will build automated regression testing framework (preferred Playwright ), define AI evaluation methodologies, analyze AI performance metrics, and partner with engineering teams to continuously improve answer quality, grounding accuracy, and customer experience. This position is critical to enabling confidence as Ezra expands its AI agent portfolio and employee-facing capabilities.

Required Skills & Experience

• C# and .NET development experience

• Experience with at least one AI evaluation framework (e.g., prompt evaluation, RAG evaluation, LLM quality assessment)

• Microsoft Agent Framework (preferred) or similar enterprise agent frameworks

• Experience with Azure OpenAI / Azure AI Foundry

• Microsoft 365 Agent SDK

• Azure AI Search, RAG pipelines, and retrieval quality testing

• Infrastructure as Code using Terraform

• Experience building automated testing and AI quality validation processes

• Familiarity with telemetry analysis, AI observability, and performance measurement

• Strong analytical skills with a passion for improving AI response quality and reliability

Skills: AI Agents~Core .NET Technologies~C# 5.0

Experience Required: 10 & Above

Location: Hyderabad :5+ relevant exp in AI + .NET