50+ Python Jobs in India

About the role

We are seeking a seasoned Backend Tech Lead with deep expertise in Golang and Python to lead our backend team. The ideal candidate has 6+ years of experience in backend technologies and 2–3 years of proven engineering mentoring experience, having successfully scaled systems and shipped B2C applications in collaboration with product teams.

Responsibilities

Technical & Product Delivery

● Oversee design and development of backend systems operating at 10K+ RPM scale.

● Guide the team in building transactional systems (payments, orders, etc.) and behavioral systems (analytics, personalization, engagement tracking).

● Partner with product managers to scope, prioritize, and release B2C product features and applications.

● Ensure architectural best practices, high-quality code standards, and robust testing practices.

● Own delivery of projects end-to-end with a focus on scalability, reliability, and business impact.

Operational Excellence

● Champion observability, monitoring, and reliability across backend services.

● Continuously improve system performance, scalability, and resilience.

● Streamline development workflows and engineering processes for speed and quality.

Requirements

● Experience:

7+ years of professional experience in backend technologies.

2-3 years as Tech lead and driving delivery.

● Technical Skills:

Strong hands-on expertise in Golang and Python.

Proven track record with high-scale systems (≥10K RPM).

Solid understanding of distributed systems, APIs, SQL/NoSQL databases, and cloud platforms.

● Leadership Skills:

Demonstrated success in managing teams through 2–3 appraisal cycles.

Strong experience working with product managers to deliver consumer-facing applications.

● Excellent communication and stakeholder management abilities.

Nice-to-Have

● Familiarity with containerization and orchestration (Docker, Kubernetes).

● Experience with observability tools (Prometheus, Grafana, OpenTelemetry).

● Previous leadership experience in B2C product companies operating at scale.

What We Offer

● Opportunity to lead and shape a backend engineering team building at scale.

● A culture of ownership, innovation, and continuous learning.

● Competitive compensation, benefits, and career growth opportunities.

AI Engineer (Generative AI & Healthcare)

Location: Remote (India)

Experience: 3 - 12 Years

Domain: HealthTech

The Mission

We are looking for a heavy-hitter AI Engineer to bridge the gap between unstructured clinical chaos and structured medical insights. You won’t just be "playing" with prompts; you will build production-grade, HIPAA-compliant systems that handle sensitive EMR/EHR data using state-of-the-art RAG architectures and Agentic workflows.

What You’ll Do

• Architect & Deploy: Build end-to-end GenAI pipelines and Agentic Workflows capable of navigating complex clinical logic.
• Clinical NLP: Transform unstructured doctor’s notes into structured insights using BioBERT, ClinicalBERT, or custom fine-tuned LLMs.
• Data Orchestration: Work seamlessly within HL7/FHIR standards to ensure interoperability.
• Production Excellence: Deploy and scale models in a robust environment using Docker, Kubernetes, and AWS.
• Security First: Architect every solution with a HIPAA-compliant mindset, ensuring the absolute integrity of sensitive patient data.

Your Technical Toolkit

• Generative AI: Expert-level RAG, Fine-tuning, and Prompt Engineering.
• Healthcare Tech: Deep familiarity with EMR/EHR systems and HL7/FHIR protocols.
• Engineering: 3+ years of experience with Python, LangChain/LlamaIndex, and vector databases.
• DevOps: Proven track record of deploying "production-grade" AI (not just notebooks) on AWS/K8s.

Interested? Apply with a summary of your most complex production-grade AI project.

https://forms.gle/4L22rGT4VTVyAEnV9

Job Title : AI Analyst (Fresher / Associate)

Experience : 0 to 3 Years

Location : Andheri West, Mumbai (Onsite)

Reporting To : AI Architect

Employment Type : Full-Time

About the Role :

We are hiring an AI Analyst to work with enterprise clients on the assessment, design, and validation of AI systems. This is a hands-on role at the intersection of business, technology, and responsible AI, focused on building production-ready, scalable, and governed AI solutions aligned with real business outcomes.

Mandatory Skills :

Artificial Intelligence (AI), Large Language Models (LLM), AI Agents, Generative AI, Machine Learning basics, Python, Prompt Engineering, Analytical Thinking.

Key Responsibilities :

• Review existing AI workflows, agents, and LLM usage to identify risks, gaps, and inefficiencies.
• Support the design of AI agent workflows aligned with business requirements.
• Help implement AI guardrails, governance frameworks, and safety mechanisms.
• Design evaluation and validation frameworks to test accuracy, reliability, and cost efficiency.
• Support AI pilot launches and production readiness.
• Communicate AI system behavior and insights to technical and non-technical stakeholders.

Required Skills :

• Strong analytical and systems thinking.
• Exposure to LLMs, AI agents, or AI workflows.
• Ability to translate business requirements into AI solutions.
• Good problem-solving and communication skills.
• Comfortable working in fast-paced environments.

Preferred :

• Consulting or client-facing experience.
• Exposure to enterprise AI deployments or regulated environments.

Education :

• Degree in Computer Science, Engineering, AI, or Data Science preferred.
• Strong practical AI skills are also valued.

Why Join Us :

• Work on real-world AI systems with enterprise clients, gain exposure to production AI and responsible AI deployment, and build a strong foundation in Applied AI and AI Systems Architecture.

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

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
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Key Responsibilities

• Design, develop, and maintain microservices and APIs running on GKE, Cloud Run, App Engine, and Cloud Functions.
• Build secure, scalable REST and GraphQL APIs to support Our Client front-end applications and integrations.
• Work with the GCP Architect to ensure back-end design aligns with enterprise architecture and security best practices.
• Implement integration layers between GCP-hosted services, AlloyDB, Cloud Spanner, Cloud SQL, and third-party APIs.
• Deploy services using Gemini Code Assist, CLI tools, and Git-based CI/CD pipelines.
• Optimize service performance, scalability, and cost efficiency.
• Implement authentication, authorization, and role-based access control using GCP Identity Platform / IAM.
• Work with AI/ML services (e.g., Vertex AI, Document AI, NLP APIs) to enable intelligent back-end capabilities.
• Collaborate with front-end developers to design efficient data contracts and API payloads.
• Participate in code reviews and enforce clean, maintainable coding standards.

Experience & Qualifications

• 6–8 years of back-end development experience, with at least 3+ years in senior/lead analyst roles.
• Proficiency in one or more back-end programming languages: Node.js, Python, or Java.
• Strong experience with GCP microservices deployments on GKE, App Engine, Cloud Run, and Cloud Functions.
• Deep knowledge of AlloyDB, Cloud Spanner, and Cloud SQL for schema design and query optimization.
• Experience in API development (REST/GraphQL) and integration best practices.
• Familiarity with Gemini Code Assist for code generation and CLI-based deployments.
• Understanding of Git-based CI/CD workflows and DevOps practices.
• Experience integrating AI tools into back-end workflows.
• Strong understanding of cloud security and compliance requirements.
• Excellent communication skills for working in a distributed/global team environment.

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What You Will Do:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and a deep interest in scalable, low-latency systems.

• You should have 2–5 years of experience in Python-based development and be eager to solve complex performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What We Expect:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 2–5 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Experience with GoLang, C/C++, Erlang, or Elixir.

• Exposure to trading, fintech, or low-latency systems.

• Familiarity with microservices and CI/CD pipelines.

Job opportunity for Developer -Python Full Stack with Siemens at Bangalore.

Interview Process:

1st round of interview - F2F (in-Person)-Technical

2nd round of interview – F2F /Virtual Interview - Technical

3rd round of interview – Virtual Interview – Technical + HR

Job Title / Designation: Developer -Python Full Stack

Employment Type: Full Time, Permanent

Location: Bangalore

Experience: 3-5 Years Job Description: : Developer -Python Full Stack

We are looking for a python full stack expert who has proven 5+ years of experience in developing automating solutions on Linux based environments. You should be capable of developing python-based web applications or automation solutions and have with excellent knowledge on DB handling and decent knowledge of the K8-based deployment environment.

Required Skills:

• Solid experience in Python back-end technology
• Sound experience in web application development
• Decent knowledge and experience in UI development using JavaScript, React/Angular or related tech stack.
• Strong understanding of software design patterns and testing principles
• Ability to learn and adapt to working with multiple programming languages.
• Experience Docker, ArgoCD, Kubernetes and Terraform
• Understanding of ETL processes to extract data from different data sources is a plus.
• Proven experience in Linux development environments using Python.
• Excellent knowledge in interacting with database systems (SQL, NoSQL) and webservices (REST)
• Experienced in establishing an optimized CI / CD environment relevant to the project.
• Good knowledge on repository management tools like Git, Bit Bucket, etc.
• Excellent debugging skills/strategies.
• Excellent communication skills
• Experienced in working in an Agile environment.

Nice to have

• Good Knowledge in eclipse IDE, developed add-ons/ plugins on eclipse Platform.
• Knowledge of 93K Semiconductor test platforms
• Good know-how of agile management tools like Jira, Azure DevOps.
• Good knowledge of RHEL
• Knowledge of JIRA administration 

To design, build, and optimize scalable data infrastructure and pipelines that enable efficient

data collection, transformation, and analysis across the organization. The Senior Data Engineer

will play a key role in driving data architecture decisions, ensuring data quality and availability,

and empowering analytics, product, and engineering teams with reliable, well-structured data to

support business growth and strategic decision-making.

Responsibilities:

• Develop, and maintain SQL and NoSQL databases, ensuring high performance,

scalability, and reliability.

• Collaborate with the API team and Data Science team to build robust data pipelines and

automations.

• Work closely with stakeholders to understand database requirements and provide

technical solutions.

• Optimize database queries and performance tuning to enhance overall system

efficiency.

• Implement and maintain data security measures, including access controls and

encryption.

• Monitor database systems and troubleshoot issues proactively to ensure uninterrupted

service.

• Develop and enforce data quality standards and processes to maintain data integrity.

• Create and maintain documentation for database architecture, processes, and

procedures.

• Stay updated with the latest database technologies and best practices to drive

continuous improvement.

• Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune

complex queries for performance and efficiency.

• Experience with monitoring and visualization tools such as Grafana to monitor database

performance and health.

Requirements:

• 4+ years of experience in data engineering, with a focus on large-scale data systems.

• Proven experience designing data models and access patterns across SQL and NoSQL

ecosystems.

• Hands-on experience with technologies like PostgreSQL, DynamoDB, S3, GraphQL, or

vector databases.

• Proficient in SQL stored procedures with extensive expertise in MySQL schema design,

query optimization, and resolvers, along with hands-on experience in building and

maintaining data warehouses.

• Strong programming skills in Python or JavaScript, with the ability to write efficient,

maintainable code.

• Familiarity with distributed systems, data partitioning, and consistency models.

• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and

debugging production bottlenecks.

• Deep understanding of cloud infrastructure (preferably AWS), including networking, IAM,

and cost optimization.

• Prior experience building multi-tenant systems with strict performance and isolation

guarantees.

• Excellent communication and collaboration skills to influence cross-functional technical

decisions.

Responsible for developing, enhancing, modifying, and maintaining chatbot applications in the Global Markets environment. The role involves designing, coding, testing, debugging, and documenting conversational AI solutions, along with supporting activities aligned to the corporate systems architecture.

You will work closely with business partners to understand requirements, analyze data, and deliver optimal, market-ready conversational AI and automation solutions.

Key Responsibilities

• Design, develop, test, debug, and maintain chatbot and virtual agent applications
• Collaborate with business stakeholders to define and translate requirements into technical solutions
• Analyze large volumes of conversational data to improve chatbot accuracy and performance
• Develop automation workflows for data handling and refinement
• Train and optimize chatbots using historical chat logs and user-generated content
• Ensure solutions align with enterprise architecture and best practices
• Document solutions, workflows, and technical designs clearly

Required Skills

• Hands-on experience in developing virtual agents (chatbots/voicebots) and Natural Language Processing (NLP)
• Experience with one or more AI/NLP platforms such as:
• Dialogflow, Amazon Lex, Alexa, Rasa, LUIS, Kore.AI
• Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein, Converse.ai
• Strong programming knowledge in Python, JavaScript, or Node.js
• Experience training chatbots using historical conversations or large-scale text datasets
• Practical knowledge of:
• Formal syntax and semantics
• Corpus analysis
• Dialogue management
• Strong written communication skills
• Strong problem-solving ability and willingness to learn emerging technologies

Nice-to-Have Skills

• Understanding of conversational UI and voice-based processing (Text-to-Speech, Speech-to-Text)
• Experience building voice apps for Amazon Alexa or Google Home
• Experience with Test-Driven Development (TDD) and Agile methodologies
• Ability to design and implement end-to-end pipelines for AI-based conversational applications
• Experience in text mining, hypothesis generation, and historical data analysis
• Strong knowledge of regular expressions for data cleaning and preprocessing
• Understanding of API integrations, SSO, and token-based authentication
• Experience writing unit test cases as per project standards
• Knowledge of HTTP, REST APIs, sockets, and web services
• Ability to perform keyword and topic extraction from chat logs
• Experience training and tuning topic modeling algorithms such as LDA and NMF
• Understanding of classical Machine Learning algorithms and appropriate evaluation metrics
• Experience with NLP frameworks such as NLTK and spaCy

NOW 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

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Recruiting Bond | Bengaluru, Karnataka, India | 2026

Key Responsibilities

• Design end-to-end architecture for scalable full-stack applications.
• Lead backend development using Python and Flask framework.
• Design and optimize MongoDB data models and queries.
• Define frontend architecture (React/Angular/Vue – as applicable).
• Establish coding standards, design patterns, and best practices.
• Build and optimize RESTful APIs and microservices.
• Implement authentication, authorization, and security best practices.
• Ensure high performance, scalability, and reliability of applications.
• Drive CI/CD implementation and DevOps best practices.
• Review code, mentor developers, and guide technical decisions.
• Collaborate with product, DevOps, and data teams.
• Troubleshoot complex production issues and perform root cause analysis.
• Lead cloud deployment strategies (Azure/AWS/GCP preferred).

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 8+ years of software development experience.
• 4+ years of hands-on Python backend development.
• Strong expertise in Flask framework.
• Deep experience with MongoDB (schema design, indexing, aggregation).
• Experience designing RESTful and microservices architectures.
• Strong understanding of frontend technologies (JavaScript, HTML, CSS).
• Experience with Git and modern CI/CD pipelines.
• Solid knowledge of system design, scalability, and performance tuning.
• Experience with containerization (Docker preferred).
• Strong problem-solving and architectural thinking skills.

Senior BackEnd Engineer

The ideal candidate will have a strong background in building scalable applications, a deep understanding of back-end technologies, and experience with cloud infrastructure. As a Back End Engineer, you will be responsible for designing, developing, and maintaining a scalable workflow management system. You will work closely with cross-functional teams to build robust and efficient applications that meet the needs of our users. Your expertise in Scala, Python, AI Agents/APIs, and GCP will be crucial in ensuring our system is reliable, performant, and scalable.

Key Responsibilities:

Back-End Development:

• Build and maintain back-end services and APIs using Scala.
• Implement and optimize Orchestration workflow system involving database queries and operations.
• Build API integrations with Third Party APIs and services.
• Ensure robust and scalable server-side logic.

Cloud Integration:

• Deploy, manage, and monitor applications on Google Cloud Platform (GCP).
• Utilize GCP services to enhance application performance and scalability.
• Implement cloud-based solutions for data storage, processing, and analytics.

Collaboration And Communication:

• Work closely with cross-functional teams to define, design, and ship new features.
• Participate in code reviews and contribute to sharing team knowledge.
• Document development processes, coding standards, and project requirements.

Qualifications:

• Educational Background:
• Completed a masters/bachelor degree in Computer Science, Engineering, or a related field.
• Technical Skills:
• Proficiency in Scala programming language.
• Strong experience with React and ReactJS.
• Familiarity with Google Cloud Platform (GCP) and its services.
• Knowledge of front-end development tools and best practices.
• Understanding of RESTful API design and implementation.
• Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Eagerness to learn and adapt to new technologies and challenges.

Preferred Qualifications:

• Experience with version control systems such as Git.
• Familiarity with CI/CD pipelines and DevOps practices.
• Understanding of workflow management systems and their requirements.
• Experience with containerization technologies like Docker.

Must have Skills

• Scala - 4 Years
• React.Js - 1 Years
• RESTful API - 4 Years
• Docker - 2 Years
• Python - 3 Years
• Artificial Intelligence - 2 Years

Roles:

-Working on the full stack development (Both Front-end and Back-end)

-Working on any one of the following technologies:

• Java Application Programming

• Web Development with PHP

• Python Application Programming with Django

• Machine Learning

• Data Science

• Artificial Intelligence

• Cyber Security

Eligibility: BCA/MCA 2026/2027 students can apply

Duration: 1-6 months

Perks:

Internship Experience Certificate

Letter of Recommendation

Mode of internship: Online/Offline

An L2 Technical Support Engineer with Python knowledge is responsible for handling escalated, more complex technical issues that the Level 1 (L1) support team cannot resolve. Your primary goal is to perform deep-dive analysis, troubleshooting, and problem resolution to minimize customer downtime and ensure system stability.

Python is a key skill, used for scripting, automation, debugging, and data analysis in this role.

Key Responsibilities

• Advanced Troubleshooting & Incident Management:
• Serve as the escalation point for complex technical issues (often involving software bugs, system integrations, backend services, and APIs) that L1 support cannot resolve.
• Diagnose, analyze, and resolve problems, often requiring in-depth log analysis, code review, and database querying.
• Own the technical resolution of incidents end-to-end, adhering strictly to established Service Level Agreements (SLAs).
• Participate in on-call rotation for critical (P1) incident support outside of regular business hours.
• Python-Specific Tasks:
• Develop and maintain Python scripts for automation of repetitive support tasks, system health checks, and data manipulation.
• Use Python for debugging and troubleshooting by analyzing application code, API responses, or data pipeline issues.
• Write ad-hoc scripts to extract, analyze, or modify data in databases for diagnostic or resolution purposes.
• Potentially apply basic-to-intermediate code fixes in Python applications in collaboration with development teams.
• Collaboration and Escalation:
• Collaborate closely with L3 Support, Software Engineers, DevOps, and Product Teams to report bugs, propose permanent fixes, and provide comprehensive investigation details.
• Escalate issues that require significant product changes or deeper engineering expertise to the L3 team, providing clear, detailed documentation of all steps taken.
• Documentation and Process Improvement:
• Conduct Root Cause Analysis (RCA) for major incidents, documenting the cause, resolution, and preventative actions.
• Create and maintain a Knowledge Base (KB), runbooks, and Standard Operating Procedures (SOPs) for recurring issues to empower L1 and enable customer self-service.
• Proactively identify technical deficiencies in processes and systems and recommend improvements to enhance service quality.
• Customer Communication:
• Maintain professional, clear, and timely communication with customers, explaining complex technical issues and resolutions in an understandable manner.

Required Technical Skills

• Programming/Scripting:
• Strong proficiency in Python (for scripting, automation, debugging, and data manipulation).
• Experience with other scripting languages like Bash or Shell
• Databases:
• Proficiency in SQL for complex querying, debugging data flow issues, and data extraction.
• Application/Web Technologies:
• Understanding of API concepts (RESTful/SOAP) and experience troubleshooting them using tools like Postman or curl.
• Knowledge of application architectures (e.g., microservices, SOA) is a plus.
• Monitoring & Tools:
• Experience with support ticketing systems (e.g., JIRA, ServiceNow).
• Familiarity with log aggregation and monitoring tools (Kibana, Splunk, ELK Stack, Grafana)

Job Description: An exciting opportunity has arisen for an experienced technical writer to join the Rtbrick India, Bangalore and take responsibility for shaping the successful delivery of Documentation to the customer. We are looking for a technical writer to help augment our Information Development team in Bangalore.

Technical skills:

• Must have worked on Telecom/Mobile/Networking/Cloud technical documentation
• Experience working with docs-as-code tools (Ascidocs, markdown, etc.) is needed
• Experience with scripting languages such as Python is needed
• Experience with version control systems is needed, experience with Github/Gitlab would be a plus
• Experience working on software testing or technical support would be a plus
• MCA/BE/BTech degrees would be a plus

Responsibilities:

• Work closely with engineering, product, and field teams to gather and validate information relevant to our customers.
• Turn complex technical concepts into easily understandable text and illustrations.
• Review and edit documents for thoroughness.
• Use new technologies such as AI tools to improve productivity.

We are looking for a skilled DevOps Engineer with hands-on experience in cloud platforms, CI/CD pipelines, container orchestration, and infrastructure automation. The ideal candidate is someone who loves solving reliability challenges, automating everything, and ensuring seamless delivery across environments.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using GitHub Actions, Jenkins, and GitHub.
• Manage and optimize infrastructure on AWS/GCP, ensuring scalability, security, and high availability.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Build, automate, and manage infrastructure as code using Terraform.
• Configure and manage automation tools and workflows using Ansible.
• Monitor system performance, troubleshoot production issues, and ensure smooth operations.
• Implement best practices for code management, release processes, and DevOps standards.
• Collaborate closely with development teams to improve build pipelines and deployment workflows.
• Write scripts in Python/Bash to automate operational tasks.

Required Skills & Experience

• 2+ years of hands-on experience as a DevOps Engineer or in a similar role.
• Strong expertise in AWS or GCP cloud services.
• Solid understanding of Kubernetes (deployment, scaling, service mesh, packaging).
• Proficiency with Terraform for infrastructure automation.
• Experience with Git, GitHub, and GitHub Actions for source control and CI/CD.
• Good knowledge of Jenkins pipelines and automation.
• Hands-on experience with Ansible for configuration management.
• Strong scripting skills using Python or Bash.
• Understanding of monitoring, logging, and security best practices.

Data Scientist or Senior Machine Learning Engineer

We are currently hiring for the position of Data Scientist/ Senior Machine Learning Engineer (6–7 years' experience).

Please find the detailed Job Description attached for your reference.

We are looking for candidates with strong experience in:

• Machine Learning model development
• Scalable data pipeline development (ETL/ELT)
• Python and SQL
• Cloud platforms such as Azure/AWS/Databricks
• ML deployment environments (SageMaker, Azure ML, etc.)

Kindly note:

• Location: Pune (Work from Office)
• Immediate joiners preferred

While sharing profiles, please ensure the following details are included:

• Current CTC
• Expected CTC
• Notice Period
• Current Location
• Confirmation on Pune WFO comfort

Must have Skills

• Machine Learning - 6 Years
• Python - 6 Years
• ETL (Extract, Transform, Load) - 6 Years
• SQL - 6 Years
• Azure - 6 Years

Request you to share relevant profiles at the earliest. Looking forward to your support.

5+ years of experience as a Senior Analytics or Data Engineer building pipelines, developing data models, and improving BI infrastructure, ideally at a SaaS company.

Core Stack: Expert-level knowledge of SQL and Python.

Platform Expertise: Expert-level knowledge in Snowflake, Azure, Fivetran, and dbt.

Orchestration: Hands-on expertise with at least one orchestration framework such as Airflow, Prefect, or Dagster.

Technical Skills: Solid understanding of data modeling concepts, specifically star schemas and normalized vs. denormalized structures.

Workflow Development: Experience building ELT/ETL workflows and integrating APIs or webhooks.Analytical Mindset: Proven ability to translate ambiguous business questions into structured analyses.

Soft Skills: Excellent communication skills with the ability to articulate technical problems to non-technical audiences.Agility: Comfortable working in an agile environment.Education: Bachelor's Degree in Engineering,

Position Overview As the Lead Software Engineer in our Research & Innovation team, you’ll play a strategic role in establishing and driving the technical vision for industrial AI solutions. Working closely with the Lead AI Engineer, you will form a leadership tandem to define the roadmap for the team, cultivate an innovative culture, and ensure that projects are strategically aligned with the organization’s goals. Your leadership will be crucial in developing, mentoring, and empowering the team as we expand, helping create an environment where innovative ideas can translate seamlessly from research to industry-ready products.

Key Responsibilities:

• Define and drive the technical strategy for embedding AI into industrial automation products, with a focus on scalability, quality, and industry compliance.

• Lead the development of a collaborative, high-performing engineering team, mentoring junior engineers, automation experts, and researchers. • Establish and oversee processes and standards for agile and DevOps practices, ensuring project alignment with strategic goals.

• Collaborate with stakeholders to align project goals, define priorities, and manage timelines, while driving innovative, research-based solutions.

• Act as a key decision-maker on technical issues, architecture, and system design, ensuring long-term maintainability and scalability of solutions.

• Ensure adherence to industry standards, certifications, and compliance, and advocate for industry best practices within the team.

• Stay updated on software engineering trends and AI applications in embedded systems, incorporating the latest advancements into the team’s strategic planning.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• Extensive experience in software engineering, with a proven track record of leading technical teams, ideally in manufacturing or embedded systems.

• Strong expertise in Python and C++/Rust, Gitlab toolchains, and system architecture for embedded applications

Experience in DevOps, CI/CD, and agile methodologies, with an emphasis on setting and maintaining high standards across a team.

• Exceptional communication and collaboration skills in English.

• Willingness to travel as needed. 

Preferred:

• Background in driving team culture, agile project management, and experience embedding AI in industrial products.

• Familiarity with sociocratic or consent-based management practices.

• Knowledge in embedded programming is an advantage.

We are seeking a skilled Java Developer with hands-on experience in Java and Spark to build scalable data processing solutions. You'll contribute to high-performance data pipelines and analytics platforms in a dynamic Agile environment.

Key Responsibilities

• Design and develop Java applications integrated with Apache Spark for ETL processes, data transformations, and analytics.
• Build and optimize Spark jobs (Spark SQL, DataFrames, Streaming) for large-scale data processing.
• Collaborate with data engineers and analysts to implement robust data workflows.
• Write clean, maintainable Java code following best practices (Spring Boot, Microservices preferred).
• Perform code reviews, unit testing, and contribute to CI/CD pipelines.
• Troubleshoot and optimize Spark performance for production workloads.
• Document technical solutions and mentor junior developers.

Required Skills & Qualifications

• 4-7 years of hands-on Java development experience.
• Strong expertise in Apache Spark (Spark Core, Spark SQL, PySpark basics).
• Proficiency in Java 8/11+ with multithreading and collections frameworks.
• Experience with data processing (ETL, data pipelines, big data).
• Familiarity with build tools (Maven/Gradle) and version control (Git).
• Strong problem-solving skills and Bangalore location availability.
• Excellent communication skills for cross-team collaboration.

Good to Have

• Experience with Snowflake for cloud data warehousing.
• Knowledge of DBT (Data Build Tool) for analytics engineering.
• Python scripting for data manipulation and automation.
• Exposure to AWS/GCP/Azure cloud platforms.
• Familiarity with Kafka, Airflow, or containerization (Docker/Kubernetes).

Software Development QA Engineer (Automation and Manual)

Juntrax Solutions is a SF/Bengaluru-based company developing and innovating SaaS-based products. Currently working on developing a brand new product, so great opportunity to be part of product lifecycle development and core team.

Roles and Responsibilities

• Understand and update project requirements documents as necessary
• create & execute test cases
• Design, develop and execute automated test scripts for regression testing.
• Test, report, and manage defect pipeline and communicate with the team.
• Collaborate with the design and development team to provide input as it relates to the requirements
• Setup test automation frameworks for multiple application platforms like Web and Mobile. Manage and execute test scripts on these frameworks.
• Investigate customer problems referred by the technical support team.
• Able to build different test scenarios and validate acceptance test cases.
• Handle technical communications with stakeholders and team 

Skills

• Bachelor's in Computer Science, Engineering, and minimum 1-2 years of industry experience as a Software Development Test Engineer.
• Must have excellent verbal and written communication skills.
• Testing materials like test cases, plans, test strategies, bug reports created should be easy to read and comprehend.
• Must efficiently manage multiple tasks, have high productivity, time management skills
• You should be able to upgrade your technical skills with the changing technologies.
• Able to work independently and take ownership of the product testing role
• should have a product mindset and spirit to work in an early-stage start-up.
• Should have previously set up an automation framework.

Other

• Must be able to work in Bangalore.
• Salary based on qualifications and experience.
• Excellent growth opportunity

Role Overview:

We are seeking a Tech Lead (5–14 yrs experience) to design, build, and scale the technology

foundation for our Support Excellence function. This role sits at the intersection of engineering,

product, and operations ensuring that our internal teams and, eventually, our end users

experience seamless, efficient, and data-driven support.

You will lead a small but high-impact team of engineers, own the support tooling roadmap, and

implement solutions that handle ticket triage, data quality issues, automation, and integrations

with our healthcare SaaS platform.

This is a hands-on technical leadership role ideal for someone who thrives on solving

operational challenges through technology, building frameworks from scratch, and enabling

customer-facing and internal support teams to scale effectively.

Key Responsibilities

1. Build & Enhance Support Platform:

● Own the engineering roadmap for support tooling — ticketing systems, triage workflows,

knowledge bases, and automation bots.

● Design and implement scalable support frameworks, ensuring fast triage, data-driven

escalation, and high-quality resolution.

● Integrate support tooling with product backend, CMS, and analytics systems to enable

context-aware assistance.

2. Technical Leadership & Delivery:

● Lead a small team of engineers (SEs and SSEs), providing guidance on design, architecture,

and coding standards.

● Stay hands-on with coding and reviews while enabling the team to deliver high-quality,

maintainable solutions.

● Partner closely with Program Managers and Business Analysts to translate requirements

into technical execution.

3. Automation, Data & AI-Driven Support:

● Implement automation workflows (bots, routing, notifications) to reduce manual load and

optimize SLA adherence.

● Drive the adoption of AI/ML solutions for ticket classification, triage, and predictive

resolution.

● Build analytics dashboards to track support KPIs (FRT, TTR, resolution quality).

● Partner with Product Managers, Designers, and Engineers to ensure delivery fidelity.

● Restore transparency and speed between business stakeholders and tech teams.

4. Cross-functional Collaboration:

● Work with Product, QA, Customer Success, and Ops to ensure support needs are captured

early in the roadmap.

● Serve as the engineering voice in discussions on escalation flows, release readiness, and

customer-facing support enablement.

● Collaborate with content and ops teams to power self-service experiences (knowledge

bases, FAQs, in-app help).

5. Documentation & Knowledge Management:

● Maintain technical documentation for support tooling, workflows, and integrations.

● Contribute to knowledge bases (internal + external) alongside ops and content teams.

● Foster a documentation-first culture to enable faster onboarding and smoother

collaboration.

What We’re Looking For

Must-Have

● 5–7 years of experience in software engineering, with at least 2+ years in a senior/lead

role.

● Proven track record in building internal platforms, support tools, or automation systems.

● Strong technical skills: Python/Node/Java, SQL, cloud services (AWS/GCP), and integration

experience with ticketing/support platforms (e.g., Zendesk, Freshdesk, ServiceNow, Jira

Service Management).

● Experience leading small teams and owning delivery from design → build → release.

● Excellent problem-solving skills with a bias for execution in fast-paced environments.

Nice to Have

● Exposure to SaaS or healthcare platforms with multi-tenant architecture.

● Familiarity with AI/ML-driven support solutions (classification, prediction, NLP chatbots).

● Hands-on experience with support metrics and dashboards (CSAT, SLA adherence, TTR).

● Knowledge of documentation frameworks (Confluence, Notion, Git-based wikis).

We are looking for an integration engineer to assist our rapidly growing customer base. As part of our integration team, you will be the primary point of contact for all integrations. You would be responsible for helping our clients integrate with OneFin APIs, configuring our system for clients and providing ongoing help to them to resolve any issues.

Responsibilities

1. Understand and explain APIs to clients. Help clients integrate OneFin APIs. Research and identify solutions to issues during integration.
2. Escalate unresolved issues to appropriate internal teams (e. g. software developers).
3. Become a product expert for clients.
4. Configure OneFin system for customized usage by clients. Identify and write internal and external technical articles or knowledge-base entries, like typical troubleshooting steps, workarounds, or best practices, how-to guides etc.
5. Automate solution of common issues using Python.
6. Help live clients resolve issues and coordinate with the development team for issue resolution.

Requirements and Qualifications:

1. Strong verbal and written communication skills.
2. Experience in writing code in Python.
3. Understanding web based systems.
4. Proficient in understanding and writing JSON.
5. Experience in SQL databases.
6. Experience working with REST APIs.
7. Excellent analytical skills, passion for pinning down technical issues, and solving problems.

https://forms.gle/4tEbPAwW7uis9PPX7

Job Title: Senior Full-stack Developer (Python,React)

Location: Hyderabad, India (On-site Only)

Employment Type: Full-Time

Work Mode: Office-Based; Remote or Hybrid Not Allowed

Role Summary

We are looking for a skilled Senior Fullstack Developer with expertise in Django (Python),React, RESTful APIs, GraphQL, microservices architecture, Redis, and AWS services (SNS, SQS, etc.). The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems and APIs to support dynamic frontend applications and services.

 Required Skillset:

l 9+ years of professional experience writing production-grade software, including experience leading the design of complex systems.

l Strong expertise in Python (Django or equivalent frameworks) and REST API development.

l Solid exp of frontend frameworks such as React and TypeScript.

l Strong understanding of relational databases (MySQL or PostgreSQL preferred).

l Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

l Hands-on experience with cloud infrastructure (AWS preferred)

l Proven experience debugging complex production issues and improving observability.

Preferred Skillset:

l Experience in enterprise SaaS or B2B systems with multi-tenancy, authentication (OAuth, SSO, SAML), and data partitioning. Exposure to Kafka or RabbitMQ, microservices.

l Knowledge of event-driven architecture, A/B testing frameworks, and analytics pipelines.

l Familiarity with accessibility standards and best practices Agile/Scrum methodologies.

l Exposure to the Open edX ecosystem or open-source contributions in education tech.

l Demonstrated history of technical mentorship, team leadership, or cross-team collaboration.

Tech Stack:

l Backend: Python (Django), (Celery,Redis Asynchronous workflows), REST APIs

l Frontend: React, TypeScript, SCSS

l Data: MySQL, Snowflake, Elasticsearch

l DevOps/Cloud: Docker,Kubernetes,GitHub Actions,AWS

l Monitoring: Datadog 

l Collaboration Tools: GitHub, Jira, Slack, Segment

Primary Responsibilities:

l Lead, guide, and mentor a team of Python/Django engineers, offering hands-on technical support and direction.

l Architect, design, and deliver secure, scalable, and high-performing web applications.

l Manage the complete software development lifecycle including requirements gathering, system design, development, testing, deployment, and post-launch maintenance.

l Ensure compliance with coding standards, architectural patterns, and established development best practices.

l Collaborate with product teams, QA, UI/UX, and other stakeholders to ensure timely and high-quality product releases.

l Perform detailed code reviews, optimize system performance, and resolve production-level issues.

l Drive engineering improvements such as automation, CI/CD implementation, and modernization of outdated systems.

l Create and maintain technical documentation while providing regular updates to leadership and stakeholders.

Job Title: QA Engineer – Manual & Automation Testing

We are looking for a detail-oriented QA Engineer (Manual & Automation) to join a

fast-paced product team. In this role, you will be responsible for ensuring the quality,

reliability, and performance of a modern SaaS platform through structured

manual and automation testing. You will work closely with developers, product managers,

and stakeholders to deliver high-quality software releases on time.

What You’ll Be Doing

● Design, review, and execute detailed manual and automated test cases for web-based applications

● Perform functional, regression, smoke, sanity, and end-to-end testing across multiple modules

● Identify, log, and track defects clearly, ensuring proper follow-up and closure

● Validate bug fixes and feature enhancements before production releases

● Collaborate closely with developers to understand requirements and resolve issues efficiently

● Participate in requirement and design reviews to provide early QA feedback

● Maintain and update test cases, test scenarios, and automation scripts based on product changes

● Contribute to the continuous improvement of QA processes, test coverage, and release quality

Description

SRE Engineer

Role Overview 

As a Site Reliability Engineer, you will play a critical role in ensuring the availability and performance of our customer-facing platform. You will work closely with DevOps, DBA, and Development teams to provision and maintain infrastructure, deploy and monitor our applications, and automate workflows. Your contributions will have a direct impact on customer satisfaction and overall experience.

Responsibilities and Deliverables

• Manage, monitor, and maintain highly available systems (Windows and Linux)

• Analyze metrics and trends to ensure rapid scalability.

• Address routine service requests while identifying ways to automate and simplify.

• Create infrastructure as code using Terraform, ARM Templates, Cloud Formation.

• Maintain data backups and disaster recovery plans.

• Design and deploy CI/CD pipelines using GitHub Actions, Octopus, Ansible, Jenkins, Azure DevOps.

• Adhere to security best practices through all stages of the software development lifecycle

• Follow and champion ITIL best practices and standards.

• Become a resource for emerging and existing cloud technologies with a focus on AWS.

Organizational Alignment

• Reports to the Senior SRE Manager

• This role involves close collaboration with DevOps, DBA, and security teams.

Technical Proficiencies

• Hands-on experience with AWS is a must-have.

• Proficiency analyzing application, IIS, system, security logs and CloudTrail events

• Practical experience with CI/CD tools such as GitHub Actions, Jenkins, Octopus

• Experience with observability tools such as New Relic, Application Insights, AppDynamics, or DataDog.

• Experience maintaining and administering Windows, Linux, and Kubernetes.

• Experience in automation using scripting languages such as Bash, PowerShell, or Python.

• Configuration management experience using Ansible, Terraform, Azure Automation Run book or similar.

• Experience with SQL Server database maintenance and administration is preferred.

• Good Understanding of networking (VNET, subnet, private link, VNET peering).

• Familiarity with cloud concepts including certificates, Oauth, AzureAD, ASE, ASP, AKS, Azure Apps, 

Load Balancers, Application Gateway, Firewall, Load Balancer, API Management, SQL Server, Databases on Azure

Experience

• 7+ years of experience in SRE or System Administration role

• Demonstrated ability building and supporting high availability Windows/Linux servers, with emphasis on the WISA stack (Windows/IIS/SQL Server/ASP.net)

• 3+ years of experience working with cloud technologies including AWS, Azure.

• 1+ years of experience working with container technology including Docker and Kubernetes.

• Comfortable using Scrum, Kanban, or Lean methodologies.

Education

• Bachelor’s Degree or College Diploma in Computer Science, Information Systems, or equivalent 

experience.

Additional Job Details:

• Working hours: 2:00 PM / 3:00 PM to 11:30 PM IST

• Interview process: 3 technical rounds

• Work model: 3 days’ work from office

About the company:

At Xenspire Technologies Pvt. Ltd., we are building People-First AI products—AI that augments human decision-making, reduces cognitive load, and earns trust through transparency, control, and reliability.

As a Lead Engineer in the Founding Engineering Team, youʼll help set the technical direction and build the core systems that everything else will run on—product architecture, engineering standards, and AI-first capabilities embedded into real workflows. This is a challenging environment: short feedback loops, meaningful ownership, and problems that donʼt come with a playbook.

If you like shipping fast, thinking deeply, and building systems that scale from day one, youʼll fit right in.

What Youʼll Do:

• Build and own core systems (web + backend + data) from scratch—designed to scale.
• Develop People-First AI capabilities: copilots, semantic search, automated workflows, and decision support—designed with guardrails, explainability, and human-in-the-loop controls.
• Drive architecture decisions: APIs, database design, eventing, caching, security basics, observability, and performance.
• Convert ambiguous business needs into clean product experiences with strong engineering discipline.
• Establish engineering standards: code quality, reviews, CI/CD, testing strategy, release readiness.
• Mentor engineers through example—this is a hands-on role, not a coordination role.
• Partner closely with founders/product/design; make trade-offs and ship outcomes, not just output.

What Weʼre Looking For:

• 2-4 years building production-grade software, ideally in product companies or high-growth startups.
• Strong expertise in Backend: Python/Java, APIs, scalability patterns Databases: PostgreSQL/MySQL + one NoSQL/search system (Elastic/OpenSearch/Vector DB is a plus)
• Proven experience building platforms/products from zero 1, then stabilizing for scale.
• Practical AI experience (not just demos): LLM integrations, prompt/tooling patterns, evaluation, safety/guardrails RAG/semantic search, embeddings, vector stores, reranking, data pipelines
• High ownership mindset; comfortable with ambiguity, tight timelines, and strong accountability.
• Strong communication—clear docs, crisp decisions, visible trade-offs.
• Experience working on SAAS Products or SAAS platforms

Nice to Have:

• Multi-tenant SaaS experience, RBAC, audit logs, and security-first design patterns.
• Cloud familiarity: AWS/GCP/Azure, containers, basic infra-as-code, observability tooling.
• Experience shipping AI features with measurable quality (latency, accuracy, cost, adoption)

Build AI Systems That Change How Industries Operate

Tailored AI is not just another tech company. We’re building the McKinsey of AI systems a new kind of firm, made up of engineers who understand business deeply and use AI as a force multiplier.

As an SDE 2, you’ll lead and own the engineering for an entire product track, often working directly with clients and stakeholders. You’ll be the architect, the executor, and the problem-solver-in-chief. You’ll take vague problem statements, turn them into elegant solutions, and bring them to life in production.

What You’ll Do

• Architect and build AI-powered software solutions from scratch
• Own a full engineering track—backend, infra, integrations, and LLM workflows
• Interface with customers to align on specs, iterate fast, and deploy with confidence
• Mentor SDE 1s and Interns, conduct code reviews, and guide engineering quality
• Stay on top of AI trends, contribute to internal tooling and shared best practices

What You’ll Gain

• Leadership opportunties and fast progression to Senior SDE roles
• Deep knowledge of how AI is transforming industries while actually building it
• High ownership, zero bureaucracy, and direct influence on product direction
• Exposure to multi-agent AI systems, enterprise integrations, and scalable infra

Who You Are

• 2–3 years of strong backend engineering experience
• Proven track record of owning software modules and delivering in production
• Skilled in Python, Django/FastAPI, Postgres, AWS
• Exposure to system design and performance optimization
• Interest in AI tools like Langchain, OpenAI, vector DBs, etc.
• Strong analytical and communication skills

Tech Stack You’ll Work With

• Python, Django, FastAPI
• Postgres, Redis, S3
• EC2, Lambda, Cloudwatch
• Langchain, LLM APIs, Vector DBs
• REST APIs, Microservices, GitHub Actions

Some Real Problems You Might Work On

• Building a multi-agent career coaching assistant that guides users and automates job hunting
• Deploying a chatbot that generates employee performance reviews on-demand from HR data
• Designing an LLM pipeline to help Indian lawyers access precedents, statutes, and case law in seconds

Interview Process

1. Screening – A quick call with a Co-Founder to align on fit
2. CV + Puzzle + Programming – 1 hour round to gauge problem-solving and fundamentals
3. Live Coding – Solve a coding task using Python + docs
4. System Design – For SDE 2, a take-home problem and a detailed discussion round

We are hiring SDET 1 / 2 / 3 across levels. This is a high-ownership role where you will help ensure quality across web, mobile, and backend systems in a fast-scaling environment. This is not a traditional QA role. You are expected to think like an owner and take responsibility for quality in production.

Responsibilities:

• Test critical user journeys (booking, assignment, payments, cancellations).
• Perform manual, automation, API, and regression testing.
• Write and maintain test cases and automation for key flows.
• Collaborate closely with engineering and product teams.
• Identify risks early and help ensure smooth, reliable releases.

Requirements:

• Experience in QA / SDET roles (level-based on experience).
• Strong testing fundamentals and problem-solving skills.
• Exposure to automation tools (Selenium / Playwright / Cypress / Appium).
• API testing knowledge (REST, Postman).
• Comfort working in a fast-changing, scaling startup.

Job Title: Python Developer (Django / Databricks / Azure)

📍 Location: Bangalore

🕒 Experience: 3–8 Year

💼 Employment Type: FTE

🔹 Job Summary:

We are seeking a skilled Python Developer with strong experience in Django, Flask API development, Databricks, and Azure Cloud. The ideal candidate will be responsible for designing scalable backend systems, developing REST APIs, building data pipelines, and working with cloud-based data platforms.

🔹 Key Responsibilities:

✔ Develop and maintain web applications using Django framework

✔ Design and build RESTful APIs using Flask

✔ Develop and optimize data pipelines using Azure Databricks

✔ Integrate applications with Azure services (Blob, Data Factory, SQL, etc.)

✔ Write clean, scalable, and efficient Python code

✔ Collaborate with frontend, DevOps, and data engineering teams

✔ Perform code reviews and ensure best practices

✔ Troubleshoot, debug, and upgrade existing systems

🔹 Required Skills:

• Strong proficiency in Python programming
• Hands-on experience with Django framework
• Experience building Flask-based REST APIs
• Experience working with Azure Databricks
• Knowledge of Azure Cloud services
• Experience with SQL / NoSQL databases
• Understanding of CI/CD and Git workflows

🔹 Good to Have:

• Experience with PySpark
• Knowledge of microservices architecture
• Docker / Kubernetes exposure
• Experience in data engineering projects

At 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:

• 6 months of live project experience on Python development experience
• Minimum of 1 full-time internship for Python > 3 months
• 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: Remote

Compensation: 15K -18K for 4 -6 months of Probation Period

2.5 L - 3 LPA after Probation

If you get excited about solving hard problems that have real-world impact, we should talk.

All the best!!

Read less

Job Description

We are seeking Senior Software Engineers who can architect and ship fullstack digital products at a high bar — using AI-assisted development tools to move faster without cutting corners. This role spans platform, product, and go-to-market — you'll own backend systems, shape frontend experiences, make infrastructure decisions, and set a higher engineering standard for the team around you. The ideal candidate has designed systems they can defend, shipped products at scale, and knows what it takes to get there.

Requirements

Product & Client Ownership Be the day-to-day technical owner on engagements — understand the client's business deeply, shape the product roadmap, and translate ambiguous problems into clear engineering direction. Show up to demos and reviews with the confidence to defend tradeoffs and flag risks early.

Architecture & Judgment Make architectural decisions that hold up at scale. AI can generate code — your job is to decide what gets built, how it fits together, and when to push back. Evaluate tradeoffs, review TRDs, and set the technical direction the rest of the team executes against.

Fullstack Execution Ship backend services, APIs, database schemas, and user-facing features end-to-end. Use AI-assisted tools (Cursor, Claude Code, Antigravity) to move at the speed of a small team without cutting corners on quality.

Platform & Reliability Own cloud infrastructure, CI/CD, and production systems. Define how the team monitors, debugs, and responds to incidents. If something breaks at 2am, you've already thought about it.

AI & Automation Drive AI adoption in products — LLM APIs, RAG pipelines, agentic workflows. Push for automation across client and internal workflows. Know what these tools are good at and, more importantly, where they fail.

Raising the Bar Be the judgment layer for junior engineers who are moving fast with AI tools. Review code for what matters — not style, but correctness, scalability, and whether the author actually understood what they shipped. Run knowledge-sharing sessions. Onboard people well.

Must Haves

3–5 years of professional engineering experience with production systems you've owned end-to-end.

Active user of AI IDEs (Cursor, Claude Code, Antigravity, or similar).

Demonstrated system design ability — you've made architectural decisions and can evaluate trade-offs.

Good exposure to cloud platforms and deployments.

Familiarity with observability and monitoring tools — you can track down issues and identify bottlenecks.

Deep backend proficiency: API design, databases, microservices, distributed systems, event-driven architecture, and message brokers.

Worked with at least two of REST, GraphQL, or gRPC in production.

Eye for design — you care about the experiences you build for users.

High rate of learning — you figure things out fast.

Nice to Have

Cloud architecture experience (AWS, GCP, Azure) with containerisation and orchestration.

Familiarity with AI/ML: prompt engineering, embeddings, agent frameworks (LangChain, CrewAI, LangGraph).

Experience with automation and workflow tools (n8n, Make, Zapier).

Benefits

Mentorship: Work next to some of the best engineers and designers — and be one for others.

Freedom: An environment where you get to practice your craft. No micromanagement.

Comprehensive healthcare: Healthcare for you and your family.

Growth: A tailor-made program to help you achieve your career goals.

A voice that is heard: We don't claim to know the best way of doing things. We like to listen to ideas from our team.

Responsibilities

Develop and maintain web and backend components using Python, Node.js, and Zoho tools

Design and implement custom workflows and automations in Zoho

Perform code reviews to maintain quality standards and best practices

Debug and resolve technical issues promptly

Collaborate with teams to gather and analyze requirements for effective solutions

Write clean, maintainable, and well-documented code

Manage and optimize databases to support changing business needs

Contribute individually while mentoring and supporting team members

Adapt quickly to a fast-paced environment and meet expectations within the first month

Selection Process

1. HR Screening: Review of qualifications and experience

2. Online Technical Assessment: Test coding and problem-solving skills

3. Technical Interview: Assess expertise in web development, Python, Node.js, APIs, and Zoho

4. Leadership Evaluation: Evaluate team collaboration and leadership abilities

5. Management Interview: Discuss cultural fit and career opportunities

6. Offer Discussion: Finalize compensation and role specifics

Experience Required

2-4 years of relevant experience as a Zoho Developer

Proven ability to work as a self-starter and contribute individually

Strong technical and interpersonal skills to support team members effectively

Job Details

- Job Title: Lead DevOps Engineer

- Industry: Consumer Internet, Technology & Travel and Tourism Platform

- Function - IT

- Experience Required: 7-10 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong Lead DevOps / Infrastructure Engineer Profiles.
• Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
• Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
• Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
• Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
• Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
• Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
• (Company) – Must be from B2C Product Companies only.
• (Education) – B.E/ B.Tech

Preferred

• Experience working in microservices architecture and event-driven systems.
• Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• (Environment) – Experience working in high-growth startup or large-scale production environments.

Job Description 

As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

• Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
• Codify our infrastructure
• Do what it takes to keep the uptime above 99.99%
• Understand the bigger picture and sail through the ambiguities
• Scale technology considering cost and observability and manage end-to-end processes
• Understand DevOps philosophy and evangelize the principles across the organization
• Strong communication and collaboration skills to break down the silos

Job Details

- Job Title: Senior DevOps Engineer

- Industry: Consumer Internet, Technology & Travel and Tourism Platform

- Function - IT

- Experience Required: 4-7 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong DevOps / Infrastructure Engineer Profiles.
• Must have 4+ years of hands-on experience working as a DevOps Engineer / Infrastructure Engineer / SRE / DevOps Consultant.
• Must have hands-on experience with Kubernetes and Docker, including deployment, scaling, or containerized application management.
• Must have experience with Infrastructure as Code (IaC) or configuration management tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong automation and scripting experience using Python, Go, Bash, Shell, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Kafka.
• Candidate must demonstrate strong expertise in at least one of the following areas - Databases / Distributed Data Systems, Observability & Monitoring, CI/CD Pipelines. Networking Concepts, Kubernetes / Container Platforms
• Candidates must be from B2C Product-based companies only.
• (Education) – BE / B.Tech or equivalent

Preferred

• Experience working with microservices or event-driven architectures.
• Exposure to cloud infrastructure, monitoring, reliability, and scalability practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• Preferred (Environment) – Experience working in high-scale production or fast-growing product startups.

Job Description 

As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

• Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
• Codify our infrastructure
• Do what it takes to keep the uptime above 99.99%
• Understand the bigger picture and sail through the ambiguities
• Scale technology considering cost and observability and manage end-to-end processes
• Understand DevOps philosophy and evangelize the principles across the organization
• Strong communication and collaboration skills to break down the silos

About the Role

We are looking for a motivated and detail-oriented Python Developer Intern to join our development team. This internship provides hands-on experience in real-world software development projects, backend systems, APIs, and automation tools.

You will work closely with senior developers and contribute to live projects, gaining practical exposure to modern development practices.

Key Responsibilities

• Assist in developing, testing, and maintaining Python-based applications
• Write clean, efficient, and reusable code
• Work on backend development and API integrations
• Participate in debugging and troubleshooting applications
• Collaborate with cross-functional teams (Design, QA, Data teams)
• Contribute to documentation and project reports
• Learn and apply best practices in software development

Required Skills & Qualifications

• Basic understanding of Python programming
• Familiarity with OOP concepts
• Knowledge of libraries/frameworks such as Django, Flask, or FastAPI (preferred but not mandatory)
• Basic understanding of databases (MySQL, PostgreSQL, or MongoDB)
• Good problem-solving skills
• Ability to work independently and in a team environment
• Strong communication skills

Preferred (Nice to Have)

• Knowledge of REST APIs
• Familiarity with Git/GitHub
• Understanding of HTML, CSS, and JavaScript
• Exposure to cloud platforms (AWS/Azure/GCP)

What You Will Gain

• Real-time project experience
• Mentorship from experienced developers
• Exposure to industry tools and workflows
• Internship Certificate upon successful completion
• Performance-based stipend (if applicable)
• Opportunity for full-time role based on performance

About Kanerika:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI.

We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions:

Kanerika has won several awards over the years, including:

1. Best Place to Work 2023 by Great Place to Work®

2. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today

3. NASSCOM Emerge 50 Award in 2014

4. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture

5. Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.

Working for us:

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees.

Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.

Role Responsibilities: 

Following are high level responsibilities that you will play but not limited to: 

• Design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.
• Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.
• Enable business analytics and self-service reporting through Power BI and other visualization tools.
• Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.
• Implement and enforce best practices for data governance, data quality, and security.
• Mentor and guide junior data engineers; establish coding and design standards.
• Evaluate emerging technologies and tools to continuously improve the data ecosystem.

Required Qualifications:

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
• Bachelor’s/ Master’s degree in Computer Science, Information Technology, Engineering, or related field.
• 7-10 years of experience in data engineering or data platform development
• Strong hands-on experience in SQL, Snowflake, Python, and Airflow
• Solid understanding of data modeling, data governance, security, and CI/CD practices.

Preferred Qualifications:

• Experience in leading a team
• Familiarity with data modeling techniques and practices for Power BI.
• Knowledge of Azure Databricks or other data processing frameworks.
• Knowledge of Microsoft Fabric or other Cloud Platforms.

What we need?

· B. Tech computer science or equivalent.

Why join us?

• Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• Gain hands-on experience in content marketing with exposure to real-world projects.
• Opportunity to learn from experienced professionals and enhance your marketing skills.
• Contribute to exciting initiatives and make an impact from day one.
• Competitive stipend and potential for growth within the company.
• Recognized for excellence in data and AI solutions with industry awards and accolades.

Employee Benefits:

1. Culture:

• Open Door Policy: Encourages open communication and accessibility to management.
• Open Office Floor Plan: Fosters a collaborative and interactive work environment.
• Flexible Working Hours: Allows employees to have flexibility in their work schedules.
• Employee Referral Bonus: Rewards employees for referring qualified candidates.
• Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Inclusivity and Diversity:

• Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
• Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

• GMC and Term Insurance: Offers medical coverage and financial protection.
• Health Insurance: Provides coverage for medical expenses.
• Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

• Company-sponsored family events: Creates opportunities for employees and their families to bond.
• Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
• Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

• Company-sponsored outings: Organizes recreational activities for employees.
• Gratuity: Provides a monetary benefit as a token of appreciation.
• Provident Fund: Helps employees save for retirement.
• Generous PTO: Offers more than the industry standard for paid time off.
• Paid sick days: Allows employees to take paid time off when they are unwell.
• Paid holidays: Gives employees paid time off for designated holidays.
• Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.

6. Professional Development Benefits:

• L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
• Mentorship Program: Offers guidance and support from experienced professionals.
• Job Training: Provides training to enhance job-related skills.
• Professional Certification Reimbursements: Assists employees in obtaining professional   certifications.
• Promote from Within: Encourages internal growth and advancement opportunities.

Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.

Candidate must be from a product-based organization with a startup mindset.

Must be strong in one core backend language: Node.js, Go, Java, or Python.

Deep understanding of distributed systems, caching, high availability, and microservices architecture.

Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.

Strong command over system design, data structures, performance tuning, and scalable architecture

Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

About the role:

We are looking for a skilled and driven Security Engineer to join our growing security team. This role requires a hands-on professional who can evaluate and strengthen the security posture of our

applications and infrastructure across Web, Android, iOS, APIs, and cloud-native environments.

The ideal candidate will also lead technical triage from our bug bounty program, integrate security into the DevOps lifecycle, and contribute to building a security-first engineering culture.

Required Skills & Experience:

● 3 to 6 years of solid hands-on experience in the VAPT domain

● Solid understanding of Web, Android, and iOS application security

● Experience with DevSecOps tools and integrating security into CI/CD

● Strong knowledge of cloud platforms (AWS/GCP/Azure) and their security models

● Familiarity with bug bounty programs and responsible disclosure practices

● Familiarity with tools like Burp Suite, MobSF, OWASP ZAP, Terraform, Checkov..etc

● Good knowledge of API security

● Scripting experience (Python, Bash, or similar) for automation tasks

Preferred Qualifications:

● OSCP, CEH, AWS Security Specialty, or similar certifications

● Experience working in a regulated environment (e.g., FinTech, InsurTech)

Responsibilities:

● Perform Security reviews, Vulnerability Assessments & Penetration Testing for Web,

Android, iOS, and API endpoints

● Perform Threat Modelling & anticipate potential attack vectors and improve security

architecture on complex or cross-functional components

● Identify and remediate OWASP Top 10 and mobile-specific vulnerabilities

● Conduct secure code reviews and red team assessments

● Integrate SAST, DAST, SCA, and secret scanning tools into CI/CD pipelines

● Automate security checks using tools like SonarQube, Snyk, Trivy, etc.

● Maintain and manage vulnerability scanning infrastructure

● Perform security assessments of AWS, Azure, and GCP environments, with an emphasis

on container security, particularly for Docker and Kubernetes.

● Implement guardrails for IAM, network segmentation, encryption, and cloud monitoring

● Contribute to infrastructure hardening for containers, Kubernetes, and virtual machines

● Triage bug bounty reports and coordinate remediation with engineering teams

● Act as the primary responder for external security disclosures

● Maintain documentation and metrics related to bug bounty and penetration testing

activities

● Collaborate with developers and architects to ensure secure design decisions

● Lead security design reviews for new features and products

● Provide actionable risk assessments and mitigation plans to stakeholders

Hiring for Senior Data Engineer

Exp : 6 - 12 yrs

Edu : BE/B.Tech

Work Location : Bengaluru ( Hybrid )

Notice Period : Immediate - 15 days

Skills :

Core: Databricks, Apache Spark, Python, Advanced SQL.

Cloud: AWS (S3, Lambda, EMR).

Orchestration & DevOps: Apache Airflow, CI/CD (Jenkins), Docker, Terraform.

Streaming: Kafka, Kinesis, or Spark Streaming.

Job Title: Python Backend / GenAI Engineer (4+ Years)

Job Summary

Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.

Responsibilities

* Develop backend APIs using Python (FastAPI / Flask / Django)

* Build Generative AI and RAG-based applications

* Design LangGraph / agent workflows

* Create data engineering pipelines (ETL, data processing)

* Implement LLM monitoring and evaluation using Arize AI

* Integrate vector databases and AI services

* Maintain scalable and production-ready backend systems

Required Skills

* 4+ years of Python backend development

* Experience in Generative AI / LLM applications

* Knowledge of LangGraph / LangChain

* Experience in data engineering pipelines

* Familiarity with Arize AI or model evaluation tools

* Understanding of REST APIs, databases, Docker

Good to Have

* Cloud platforms (Azure / AWS )

* Vector databases (FAISS, Pinecone, Azure AI Search)

JOB DESCRIPTION:

Location: Pune, Mumbai, Bangalore

Mode of Work : 3 days from Office

* Python : Strong expertise in data workflows and automation

* Pandas: For detailed data analysis and validation

* SQL: Querying and performing operations on Delta tables

* AWS Cloud: Compute and storage services

* OOPS concepts

Job Summary

We are looking for a Data Scientist – AI/ML who has hands-on experience in building, training, fine-tuning, and deploying machine learning and deep learning models. The ideal candidate should be comfortable working with real-world datasets, collaborating with cross-functional teams, and communicating insights and solutions to clients.

Experience: Fresher to 5 Years

Location: Ahmedabad 

Employment Type: Full-Time

Key Responsibilities

Develop, train, and optimize Machine Learning and Deep Learning models

Perform data cleaning, preprocessing, and feature engineering

Fine-tune ML/DL models to improve accuracy and performance

Deploy models into production using APIs or cloud platforms

Monitor model performance and retrain models as required

Work closely with clients to understand business problems and translate them into AI/ML solutions

Present findings, model outcomes, and recommendations to stakeholders

Collaborate with data engineers, developers, and product teams

Document workflows, models, and deployment processes

 Required Skills & Qualifications

Strong understanding of Machine Learning concepts (Supervised, Unsupervised learning)

Hands-on experience with ML algorithms (Linear/Logistic Regression, Decision Trees, Random Forest, XGBoost, etc.)

Experience with Deep Learning frameworks (TensorFlow / PyTorch / Keras)

Proficiency in Python and AI/ML libraries (NumPy, Pandas, Scikit-learn)

Experience in model deployment using Flask/FastAPI, Docker, or cloud platforms (AWS/GCP/Azure)

Understanding of model fine-tuning and performance optimization

Basic knowledge of SQL and data handling

Good client communication and documentation skills

 Good to Have

Experience with NLP, Computer Vision, or Generative AI

Exposure to MLOps tools (MLflow, Airflow, CI/CD pipelines)

Experience working on live or client-based AI projects

Kaggle, GitHub, or portfolio showcasing AI/ML projects

 Education

Bachelor’s / Master’s degree in Computer Science, Data Science, AI/ML, or related field

Relevant certifications or project experience will be an added advantage

 What We Offer

Opportunity to work on real-world AI/ML projects

Mentorship from experienced AI/ML professionals

Career growth in Data Science & Artificial Intelligence

Collaborative and learning-driven work culture

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from Tier - 1 engineering institutes (IITs, BITS, are highly preferred)

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We are looking for an Engineering Manager who combines technical depth with leadership strength. This role involves leading one or more product engineering pods, driving architecture decisions, ensuring delivery excellence, and working closely with stakeholders to build scalable web and mobile technology solutions. As a key part of our leadership team, you’ll play a pivotal role in mentoring engineers, improving processes, and fostering a culture of ownership, innovation, and continuous learning.

Roles and Responsibilities:

● Team Management: Lead, coach, and grow a team of 15-20 software engineers, tech leads, and QA engineers

● Technical Leadership: Guide the team in building scalable, high-performance web and mobile applications using modern frameworks and technologies

● Architecture Ownership: Architect robust, secure, and maintainable technology solutions aligned with product goals

● Project Execution: Ensure timely and high-quality delivery of projects by driving engineering best practices, agile processes, and cross-functional collaboration

● Stakeholder Collaboration: Act as a bridge between business stakeholders, product managers, and engineering teams to translate requirements into technology plans

● Culture & Growth: Help build and nurture a culture of technical excellence, accountability, and continuous improvement

● Hiring & Onboarding: Contribute to recruitment efforts, onboarding, and learning & development of team members.

Requirements:

● 8+ years of software development experience, with 2+ years in a technical leadership or engineering manager role

● Proven experience in architecting and building web and mobile applications at scale

● Hands-on knowledge of technologies such as JavaScript/TypeScript, Angular, React, Node.js, .NET, Java, Python, or similar stacks

● Solid understanding of cloud platforms (AWS/Azure/GCP) and DevOps practices

● Strong interpersonal skills with a proven ability to manage stakeholders and lead diverse teams

● Excellent problem-solving, communication, and organizational skills

● Nice to have:

• Prior experience in working with startups or product-based companies
• Experience mentoring tech leads and helping shape engineering culture
• Exposure to AI/ML, data engineering, or platform thinking

Why Join Us?

● Opportunity to work on a cutting-edge healthcare product

● A collaborative and learning-driven environment

● Exposure to AI and software engineering innovations

● Excellent work ethics and culture.

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

We are seeking a highly skilled Qt/QML Engineer to design and develop advanced GUIs for aerospace applications. The role requires working closely with system architects, avionics software engineers, and mission systems experts to create reliable, intuitive, and real-time UI for mission-critical systems such as UAV ground control stations, and cockpit displays.

Key Responsibilities

• Design, develop, and maintain high-performance UI applications using Qt/QML (Qt Quick, QML, C++).
• Translate system requirements into responsive, interactive, and user-friendly interfaces.
• Integrate UI components with real-time data streams from avionics systems, UAVs, or mission control software.
• Collaborate with aerospace engineers to ensure compliance with DO-178C, or MIL-STD guidelines where applicable.
• Optimise application performance for low-latency visualisation in mission-critical environments.
• Implement data visualisation (raster and vector maps, telemetry, flight parameters, mission planning overlays).
• Write clean, testable, and maintainable code while adhering to aerospace software standards.
• Work with cross-functional teams (system engineers, hardware engineers, test teams) to validate UI against operational requirements.
• Support debugging, simulation, and testing activities, including hardware-in-the-loop (HIL) setups.

Required Qualifications

• Bachelor’s / Master’s degree in Computer Science, Software Engineering, or related field.
• 1-3 years of experience in developing Qt/QML-based applications (Qt Quick, QML, Qt Widgets).
• Strong proficiency in C++ (11/14/17) and object-oriented programming.
• Experience integrating UI with real-time data sources (TCP/IP, UDP, serial, CAN, DDS, etc.).
• Knowledge of multithreading, performance optimisation, and memory management.
• Familiarity with aerospace/automotive domain software practices or mission-critical systems.
• Good understanding of UX principles for operator consoles and mission planning systems.
• Strong problem-solving, debugging, and communication skills.

Desirable Skills

• Experience with GIS/Mapping libraries (OpenSceneGraph, Cesium, Marble, etc.).
• Knowledge of OpenGL, Vulkan, or 3D visualisation frameworks.
• Exposure to DO-178C or aerospace software compliance.
• Familiarity with UAV ground control software (QGroundControl, Mission Planner, etc.) or similar mission systems.
• Experience with Linux and cross-platform development (Windows/Linux).
• Scripting knowledge in Python for tooling and automation.
• Background in defence, aerospace, automotive or embedded systems domain.

What We Offer

• Opportunity to work on cutting-edge aerospace and defence technologies.
• Collaborative and innovation-driven work culture.
• Exposure to real-world avionics and mission systems.
• Growth opportunities in autonomy, AI/ML for aerospace, and avionics UI systems.

At Dolat Capital, we blend cutting-edge technology with quantitative finance to drive high-performance trading across Equities, Futures, and Options. We're a fast-moving team of traders, engineers, and data scientists building ultra-low latency systems and intelligent trading strategies.

🎯 What You’ll Work On

1. Designing and deploying high-frequency, high-sharpe trading strategies

2. Building low-latency, high-throughput trading infrastructure (C++/Python/Linux).

3. Leveraging AI/ML to detect alpha and market patterns from large datasets

Real-time risk systems, simulation tools, and performance optimization

4. Collaborating across tech and trading teams to push innovation in live markets.

🧠 What We’re Looking For

1. Master’s (U.S.) in CS or Computational Finance (MANDATORY)

2. 1–2 years of experience in a quant/tech-heavy role

3. Strong in C++, Python, algorithms, Linux, TCP/UDP

4. Experience with AI/ML tools like TensorFlow, PyTorch, or Scikit-learn

5. Passion for high-performance systems and market innovation.

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

Job Title: Deployment Lead (Python, Linux, AWS) 

Location: Coimbatore

Overview 

We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments. 

Key Responsibilities 

• Lead and manage deployment activities for all application releases across development, staging, and production environments. 
• Develop and maintain deployment automation, scripts, and tools using Python and shell scripting. 
• Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline). 
• Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening. 
• Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform). 
• Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK. 
• Collaborate with developers to improve code readiness for deployment and production reliability. 
• Manage environment configurations and ensure consistency and version control across environments. 
• Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes. 
• Establish and enforce best practices for deployment, configuration management, and operational excellence. 

Required Skills & Qualifications 

• 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles. 
• Strong proficiency in Python for automation and tooling. 
• Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux). 
• Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform). 
• Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes. 
• Strong understanding of CI/CD tools and automated deployment strategies. 
• Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing. 
• Expertise with monitoring, alerting, and logging solutions. 
• Strong problem-solving and analytical skills; able to lead troubleshooting efforts. 
• Excellent communication and leadership abilities. 

Job Details

- Job Title: Android Developer

- Industry: IT- Services

- Function - Information technology (IT)

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Delhi

- CTC Range: Best in Industry

Criteria:

· Strong technical background in Android application development and Kotlin

· Looking candidates having 5+ years of experience.

· Need candidates from Delhi NCR Only.

· All Academic backgrounds acceptable (except BCA).

· Immediate Joiners Preferred

· Candidate must have some experience working with IoT devices.

· Candidate should have experience working with Camera model X.

· Candidate's Academic scores must be 70% or above.

· Candidate having fluent communication will be an added advantage.

Job Description 

About the Role:

Senior Android Team Lead will be responsible for testing, QC, debugging support for various Android and Java software/servers for products developed or procured by the company. The role includes debugging integration issues, handling on-field deployment challenges, and suggesting improvements or structured solutions. The candidate will also be responsible for scaling the architecture. You will work closely with other team members including Web Developers, Software Developers, Application Engineers, and Product Managers to test and deploy existing products. You will act as a Team Lead to coordinate and organize team efforts toward successful completion or demo of applications. This includes implementing projects from conception to deployment.

Responsibilities:

● Working with the Android SDK, Java, Kotlin, NDK

● Handling different Android versions and screen sizes

● Applying Android UI design principles, patterns, and best practices

Requirements:

● Strong technical background in Android application development and Kotlin

● Solid programming skills

● Detail-oriented with strong attention to specifics

● Excellent written and verbal communication skills

● Strong analytical and quick problem-solving ability

● Ability to quickly document requirements from open discussions

● Fast typing skills for documentation and communication

● Familiarity with JIRA, EPICs, Excel, Google Sheets, and Agile methodologies

● Team player with leadership qualities

● Decision-making ability and team management skills

● Interest in working in a startup environment with cutting-edge products

● Experience with design and architecture patterns

● Understanding of testing processes, debugging, code versioning, and repositories

● UI/UX experience

● Strong knowledge of Java & Kotlin

● Software development experience with strong coding skills

● Experience building services for data delivery to mobile clients

● Experience with relational and non-relational databases

● Knowledge of REST and JSON data handling

● Experience with libraries like Retrofit, RxJava, Dagger 2, Lottie

● Server integration (REST endpoints)

● Experience with AWS stack and Linux

● Apps shipped and available on Google Play

● Backend API development

● Familiarity with Android Studio, Eclipse IDE

● Good knowledge of mobile hardware, software, and operating systems

● Willingness to work in a fast-paced startup environment

● Strong oral communication and presentation skills

● Team-oriented, with a positive approach to technology and engineering

● Result-oriented with a focus on efficiency and timeliness

● Strong self-awareness and ability to work under deadlines

● Proficiency in Microsoft Project, PowerPoint, Excel, Word

● Willingness to mentor and manage team members

● Willing to travel 5–10% of the time for demos, training, and collaboration

Preferred Background:

● Understanding of Artificial Intelligence and Machine Learning

● B.S. / M.S. in Computer Science, Electrical, or Electronics Engineering

● 5+ years’ experience with Android, Java Server, JSP

● Experience with Virtual Reality and Augmented Reality

● Familiarity with Test-Driven Development

● Background in CS or ECE

● Python experience is a big plus

● iOS development knowledge (not mandatory)

● Strong foundation in data structures and algorithms