PythonRole & Responsibilities
As a Senior GenAI Engineer you will own the AI layer of our product — building the features that make Zenskar intelligent. This is not a research role and not a prompt-engineering role. You will build production AI systems that enterprise clients depend on, which means reliability, observability, and rigorous evals matter as much as the AI capability itself. You own the full vertical — the model, the pipeline, and the UI.
- Build and own CS Copilot — a real-time assistant for customer success teams, spanning STT pipelines, live transcription, and LLM-powered suggestions
- Build LLM-powered document understanding features — extracting structured, reliable data from unstructured enterprise documents
- Own AI feature UIs end-to-end — you build the interface, not just the model integration layer
- Design and maintain an eval framework — define what 'working' means for each AI feature and catch regressions before users do
- Drive model selection and integration decisions — choosing the right provider and approach for each use case, managing latency and cost
- Own AI platform reliability — observability, fallback behaviour, and graceful degradation when models fail
- Work closely with product, customer success, and the full-stack engineer — AI features only matter if they are usable and trusted by real users
THE IMPACT YOU'LL MAKE-
- You will define what AI means at Zenskar — the features you ship will be the most visible and differentiated parts of the product
- CS Copilot, if done well, changes how enterprise customer success teams operate every single day — this is a high-stakes, high-visibility surface
- You will establish the engineering culture around AI reliability at Zenskar — evals, observability, and disciplined iteration
- Your work will directly accelerate enterprise deals — AI features are increasingly a buying criterion for our clients
- You will be the person who brings engineering rigour to a domain where most companies ship demos and call it a feature
Ideal Candidate
- Strong Senior GenAI / AI Backend Engineer Profiles
- Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production
- Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems
- Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects
- Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines
- Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases
- Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)
- Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation
- Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects
- Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations
- Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking
- Mandatory (Company) – Product companies / startups, preferably Series A to Series D
- Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs
- Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks
- Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience
- Preferred (Skill) – Experience with fine-tuning (LoRA / QLoRA) or open-source model deployment (vLLM / Ollama)
- Preferred (Frontend) – Basic ability to build or contribute to frontend (React or similar)
- Highly Preferred (Education) – Candidates from Tier-1 institutes (IITs, BITS, NITs, IIITs, top global universities)
Shubham Vishwakarma
Full Stack Developer - Averlon
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Python
PostgreSQLFounding Engineer (Bangalore)
The problem:
Business enterprises overpay vendors - on every batch of invoices, on every month because the data that would catch lives in different systems. We are building an AI agent that processes invoices end-to-end, reasons across all the relevant sources, flags genuine discrepancies, and acts - without a human having to investigate each one.
What you will own
Everything engineering. Schema design to deployment to the 2am fix when something breaks in production. There is no tech lead above you. There is no platform team. There is the architecture, you, and the founders. Concretely, this means building:
- A multi-stage agentic pipeline that takes a vendor invoice and produces a structured decision - fully autonomous for clear cases, escalating to human review for genuinely ambiguous ones. We use LangGraph, but if you've built equivalent systems with Temporal, Prefect, or custom state machines with LLM orchestration, that works
- An LLM-powered extraction layer that handles real invoices - scanned PDFs, stamped documents, inconsistent layouts - and returns structured output
- A graph data model that connects invoices to various sources and can traverse those relationships to detect discrepancies
- ERP connectors, GST validation logic, and a write-back layer that closes the loop
What we need
- Strong Python. Async FastAPI, clean service boundaries, tests that actually catch bugs. You have shipped Python backends that handled real production load
- Solid Postgres. Complex queries, schema design, migrations without downtime, row-level security for multi-tenant data. pgvector is a plus - if not, you pick it up fast
- LLM API experience in production. You have called an LLM API for something that real users depended on. You know about structured output, retry logic, cost management, prompt versioning. A side project counts if it was genuinely deployed
- Comfort with graph data models. You understand when a graph is the right structure and when it is not. You do not need deep Neo4j production experience - you need to understand graph relationships conceptually and be willing to learn Cypher. It is a 2-day ramp for the right person
- Working knowledge of deployment. Deployed and operated production workloads on GCP. Cloud Run, Cloud SQL, Cloud Storage, Redis — you're comfortable across the stack. If you've done it on AWS, the translation isn't hard, but GCP is where we are
- You own things. Not "I contributed to" - you designed it, shipped it, and fixed it when it broke. That pattern needs to be visible in your history
Good to have, not mandatory
- Built an agentic pipeline with multiple stages
- Any fintech, P2P domain experience - even tangential
- Worked at a startup with under 20 people
- Has a GitHub, blog, or writeup that shows how you think about a hard technical problem
What you get
- The hardest engineering problem you would have worked on. This is not CRUD with an LLM bolted on
- Real ownership. First engineering hire. Your architectural decisions will be in this product five years from now
- Equity that matters. ESOP - Open to discussion. We are pre-seed - this is a bet, not a guarantee. We will not pretend otherwise
- No meetings tax. You work directly with the founders. The product is specified clearly. You know what you are building and why
Honest about stage: We do not have a production ready infra yet. We have a complete architecture specification and a working prototype. If you need the stability of an established engineering org, this is not the right moment. If you want to build something real from zero and own a meaningful piece of it, it is.
The founders
One of us has spent 20 years building revenue and operational engines at companies where there was no playbook - part of the pilot team that established the world's largest search company's direct sales operations in India, managed global operations for a global mobile advertising platform, scaled a B2C platform to become one of India’s leading edtech platforms and most recently worked on building an enterprise Agentic Voice AI platform. The other has spent 15 years taking AI from demo to production in domains where failure is expensive - voice, lending, and conversational systems across a Series D conversational AI company, a major telco, a Big 4, and a leading NBFC.
Two IIT/IIM alumni who have both watched AI work in enterprise, and know exactly what it takes to get it there. We are not building this product because it sounds interesting. We are building it because we have both sat across the table from CFOs who know they are losing margin and have no tool capable of doing anything about it.
Python
FlaskAt Palcode.ai, We're on a mission to fix the massive inefficiencies in pre-construction. Think about it - in a $10 trillion industry, estimators still spend weeks analyzing bids, project managers struggle with scattered data, and costly mistakes slip through complex contracts. We're fixing this with purpose-built AI agents that work. Our platform can do “magic” to Preconstruction workflows from Weeks to Hours. It's not just about AI – it's about bringing real, measurable impact to an industry ready for change. We are backed by names like AWS for Startups, Upekkha Accelerator, and Microsoft for Startups.
Why Palcode.ai
Tackle Complex Problems: Build AI that reads between the lines of construction bids, spots hidden risks in contracts, and makes sense of fragmented project data
High-Impact Code: Your code won't sit in a backlog – it goes straight to estimators and project managers who need it yesterday
Tech Challenges That Matter: Design systems that process thousands of construction documents, handle real-time pricing data, and make intelligent decisions
Build & Own: Shape our entire tech stack, from data processing pipelines to AI model deployment
Quick Impact: Small team, huge responsibility. Your solutions directly impact project decisions worth millions
Learn & Grow: Master the intersection of AI, cloud architecture, and construction tech while working with founders who've built and scaled construction software
Your Role:
- Design and build our core AI services and APIs using Python
- Create reliable, scalable backend systems that handle complex data
- Help set up cloud infrastructure and deployment pipelines
- Collaborate with our AI team to integrate machine learning models
- Write clean, tested, production-ready code
You'll fit right in if:
- You have 1 year of hands-on Python development experience
- You're comfortable with full-stack development and cloud services
- You write clean, maintainable code and follow good engineering practices
- You're curious about AI/ML and eager to learn new technologies
- You enjoy fast-paced startup environments and take ownership of your work
How we will set you up for success
- You will work closely with the Founding team to understand what we are building.
- You will be given comprehensive training about the tech stack, with an opportunity to avail virtual training as well.
- You will be involved in a monthly one-on-one with the founders to discuss feedback
- A unique opportunity to learn from the best - we are Gold partners of AWS, Razorpay, and Microsoft Startup programs, having access to rich talent to discuss and brainstorm ideas.
- You’ll have a lot of creative freedom to execute new ideas. As long as you can convince us, and you’re confident in your skills, we’re here to back you in your execution.
Location: Bangalore, Remote
Compensation: Competitive salary + Meaningful equity
If you get excited about solving hard problems that have real-world impact, we should talk.
All the best!!
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Python
Go Programming (Golang)
NodeJS (Node.js)
JavaNOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)
Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader
📍Location: Bengaluru, India (Hybrid / On-Site)
🏢Sector: Technology, Information & Media
👥Company Size: 500 – 1,000 Employees
💼Employment: Full-Time, Permanent
🎯Experience: 6 – 9 Years (Backend Engineering)
🚀 Level: Tech Lead
ABOUT THIS MANDATE
Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.
This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.
We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.
THE OPPORTUNITY AT A GLANCE
🏗️ Architecture Ownership
Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.
🤖 AI-Augmented Engineering
Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.
🎓 Engineering Leadership
Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.
KEY RESPONSIBILITIES
1. Architecture & Platform Modernisation
- Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
- Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
- Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
- Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
- Establish backend design standards, coding guidelines, and architectural review processes
2. Distributed Systems Engineering (Production-Grade)
- Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
- Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
- Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
- Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
- Apply Saga orchestration and choreography patterns for distributed transaction integrity
- Execute zero-downtime deployments and canary release strategies with rollback capability
- Design and enforce multi-region disaster recovery and business continuity protocols
3. AI-Driven Engineering Practices
- Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
- Apply prompt engineering techniques for automated code generation, review, and documentation workflows
- Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
- Build automation-first pipelines that reduce toil and accelerate delivery velocity
- Evaluate and integrate emerging AI developer tools into the engineering ecosystem
4. Engineering Leadership & Culture
- Own backend platforms end-to-end with full accountability across development, stability, and performance
- Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
- Drive and lead technical hiring — from designing assessments to final hire decisions
- Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
- Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
- Foster a culture of technical excellence, psychological safety, and high-velocity delivery
TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)
Languages: Java (primary) · Go · Python · Node.js · PHP · Rust
Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)
Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)
Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch
Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub
Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack
CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible
AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor
QUALIFICATIONS & CANDIDATE PROFILE
Education
- B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
- Exceptional real-world engineering track record may be considered in lieu of institution pedigree
Experience
- 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
- Proven track record of shipping and scaling production SaaS / Product systems at significant user load
- Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
- Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
- Demonstrated career stability — minimum 2 years average tenure per organisation
- The Ideal Candidate Exemplifies
- System-level thinking with an ability to hold context across code, architecture, product, and business
- An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
- Strong written and verbal communication skills for asynchronous, cross-functional collaboration
- Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
- Bias for automation, observability, and engineering efficiency at every level
- A mentor's instinct — genuine desire to grow others and raise the capability of the team around them
WHY THIS ROLE STANDS APART
✅ Transformational Scope
Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.
✅ AI-Forward Engineering Culture
Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.
✅ Established, Stable Platform
Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.
✅ Career-Defining Leadership
Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.
HOW TO APPLY
This search is being managed exclusively by Recruiting Bond
Submit your application with an updated resume
Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.
⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.
Recruiting Bond | Bengaluru, Karnataka, India | 2026
PythonNodeJS (Node.js)
MongoDBAs a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.
- What You’ll Do :
- Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
- Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks).
- Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
- Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
- Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
- Dev Environments: Set up and manage developer and staging environments across teams.
- Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
- Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.
Must-Haves :
- 5+ years of experience in backend development and cloud infrastructure.
- Strong expertise in Node.js (TypeScript) and/or Python.
- Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
- Deep understanding of cloud platforms, preferably GCP and Firebase.
- Hands-on experience with CI/CD, DevOps tools, and automation.
- Solid knowledge of distributed systems and performance tuning.
- Experience setting up and managing development & staging environments.
• Proficiency in English and remote communication.
Good to have :
- Event-driven architecture experience (e.g., Pub/Sub, MQTT).
- Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
- Previous work on large-scale SaaS products.
- Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
- Experience with edge computing on Nvidia Jetson devices.
What We Offer :
- Competitive salary for the Indian market (depending on experience).
- Remote-first culture with async-friendly communication.
- Autonomy and responsibility from day one.
- A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
- A mission-driven company tackling real-world environmental challenges.
Python
DjangoFlaskJob Description: Python Backend Developer
Experience: 7-12 years
Job Type: Full-time
Job Overview:
Wissen Technology is looking for a highly experienced Python Backend Developer with 7-12 years of experience to join our team. The ideal candidate will have deep expertise in backend development using Python, with a strong focus on Django and Flask frameworks.
Key Responsibilities:
- Develop and maintain robust backend services and APIs using Python, Django, and Flask.
- Design scalable and efficient database schemas, integrating with both relational and NoSQL databases.
- Collaborate with front-end developers and other team members to establish objectives and design functional, cohesive code.
- Optimize applications for maximum speed and scalability.
- Ensure security and data protection protocols are implemented effectively.
- Troubleshoot and debug applications to ensure a seamless user experience.
- Participate in code reviews, testing, and quality assurance processes.
Required Skills:
Python: Extensive experience in backend development using Python.
Django & Flask: Proficiency in Django and Flask frameworks.
Database Management: Strong knowledge of databases such as PostgreSQL, MySQL, and MongoDB.
API Development: Expertise in building and maintaining RESTful APIs.
Security: Understanding of security best practices and data protection measures.
Version Control: Experience with Git for collaboration and version control.
Problem-Solving: Strong analytical skills with a focus on writing clean, efficient code.
Communication: Excellent communication and teamwork skills.
Preferred Qualifications:
- Experience with cloud services like AWS, Azure, or GCP.
- Familiarity with Docker and containerization.
- Knowledge of CI/CD practices.
Why Join Wissen Technology?
- Opportunity to work on innovative projects with a cutting-edge technology stack.
- Competitive compensation and benefits package.
- A supportive environment that fosters professional growth and learning.
PythonJavaNodeJS (Node.js)Company is building a first-of-its-kind, lifestyle health product for Women in
India. We believe that the future of health and fitness is digital, and women will drive the
digital fitness revolution in India. Existing digital health and fitness products are highly
transactional and we see a huge opportunity to build a truly aspirational product that will
inspire and empower millions of women to lead healthier lives. If you are passionate about
building a product that blends together technology, content, and community, we would love
to talk to you.
Engineering:
Company is looking for results-oriented Engineers. An ideal candidate for us would be
a passionate builder of great products/frameworks and someone who would thrive in a
fast-paced environment and enjoy the challenge of complex business contexts that are
typically being defined in real-time.
In this role, you will be responsible for building world-class technology products and
platforms that are at the forefront of the technology revolution in the Indian healthcare
ecosystem. You are someone who insists on the highest standards for quality,
maintainability, and performance. You will be working in a fast-paced and agile work
environment delivering quality solutions that have an immediate business impact.
Responsibilities :
● Research, design and build highly reliable, available, and scalable solutions that can
handle Millions of API calls across systems.
● Own large technical deliverables and execute in a structured manner, complete
ownership of functional Services that your team is responsible for.
● Take the accountability of the overall health of the products you build and
predictability of the deliverables of your team
● Lead by example, mentor and guide team members on everything from structured
problem solving to development of best practices
● Platformize components as libraries, utilities and servicify and promote reuse.
● Be able to conceptualize and develop prototypes quickly
● Drive the technical roadmap of the team in collaboration with Product and Business
Teams.
Requirements:
● BTech, MTech in Computer Science or a related technical discipline (or equivalent).
Or high technical acumen and rich technical experience.
● Deep expertise with any or combination programming languages: Java, Node.js,
Golang, JavaScript, any object-oriented high-level proprietary or open-source
language with strong programming constructs. Substantial experience in building
complex and scalable solutions.
● Strong object-oriented design skills, ability to apply design patterns, and ability to
design intuitive module and class-level interfaces
● The ability to independently lead problem-solving and build elegant, maintainable
solutions to complex problems.
● Experience leading multi-engineer projects and mentoring junior engineers
● Experience with full life cycle development in any programming language on a Linux
platform
● Prior experience in working with Agile software methodologies ( Scrum, Kanban),
TDD, and Continuous Integration(CI/CD) a plus.
● Experience in building data-driven web application design and development is a plus
● Expert level experience in building a scalable, large, and complex business
application using some of the above technologies and mentoring junior engineers.
● Track record of building and delivering mission-critical, 24x7 production software
systems
PythonFlaskDjango
JavascriptWe are looking for a Python Developer to join our engineering team and help us
Python Developer responsibilities include writing and testing code, debugging programs
Responsibilities :
Requirements :
PythonNodeJS (Node.js)Location: Bangalore
We are looking for the right Backend Developer.
What you will work on Build a scalable API platform that will enhance our customer experience & propel our logistics. You will be part of our Bangalore team of ambitious and talented engineers, who put their best together to build architecturally sound & scalable systems.
What can CasaOne promise you –
An opportunity to - increase your rate of learning exponentially by defining hard problems and solving them - partake in a high-growth journey and increase revenues 5x+ Y-o-Y - be an early innovator in the shifting trend: ‘ownership economy’ -> ‘access economy’ - build a category-defining platform for FF&E (Furniture, Fixture, and Equipment) leasing - build high-performance teams
The must-haves
• Bachelor’s or Master’s degree in engineering
• Good understanding of algorithms, data structures & design patterns
• A minimum of 4 years of work experience Experience required in
• Building distributed systems & service-oriented architecture
• Asynchronous programming, Test Driven Development (TDD)
• Writing (delightful) APIs & integration patterns
• RDBMS & NoSql databases
• Continuous integration & deployment (CI/CD) tools like git, Jenkins
• Cloud computing platforms - AWS/ Azure/ Google Cloud
Good to know CasaOne backend services are written in NodeJS. Experience in NodeJS will be handy, but it isn’t mandatory.
Python
Ruby on Rails (ROR)Java
Angular (2+)PythonFrom the very beginning, Ally has believed that the right people united by the right mission can redefine the possible
Ally is a B2B SaaS startup. We enable teams to focus, align and achieve goals, with strong employee engagement. Our OKR solution is ridiculously easy to use and scalable to startups and larger teams.
We believe in being where the work happens. Ally is well integrated with the tools and products that we already use in our daily workflows. Further, you can access it from the web and mobile. Ally’s Insights identifies problems and helps the team make the necessary changes to achieve the goals on time.
We are looking for a Lead Software Engineer to join our Ally Engineering Team in Chennai, India.
What does a lead software engineer do at Ally?
As a lead software engineer, you will be the technical lead for a team that focuses on building software applications that scale well. You will play a significant role in shaping our software architecture that provides measurable customer value. You understand both technology and business to know the right tradeoffs to make. You will be a technical mentor for your team members. You will work closely with your peers, managers, product, design and operations teams to create solutions that meet business requirements. You will drive engineering and operational excellence across Ally. You will collaborate with other engineers to surface common pain points, develop solutions and evangelize best practices.
Qualifications
- 7+ years of professional software engineering experience building customer-facing web and/or mobile applications
- Strong coding skills using Ruby, Java, C/C++, Scala (or equivalent programming language)
- Excellent knowledge of Data Structures and Algorithms
- Bachelor or Master degree in Computer Science or a related discipline
- Experience working in an agile environment
- Self-starter, quick learner and passionate problem resolver
- Excellent debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve customer problems
- Good oral and written communication skills
- Above all, an insatiable desire and ability to learn
Nice to have skills:
- Experience with large-scale SaaS applications
- Experience building web and mobile applications
- Experience designing services on top of cloud infrastructure like AWS, Azure, etc
- Knowledge of Ruby on Rails
- Prior experience as a technical lead
Additional Information
Benefits
- Ownership and autonomy to drive customer and culture initiatives
- Centrally located in the city; right next to Metro station
- Opportunity to get mentored and mentor junior engineers
- Competitive salaries
- Paid time off
- Medical insurance
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon