Software Development Engineer at xpressbees · Bengaluru (Bangalore), Pune · 5 - 14 years · ₹15L - ₹50L / yr · Posted 13 Feb 2023
NodeJS (Node.js)
Java
Python
Go Programming (Golang)
RubyXpressBees– a logistics company started in 2015 – is amongst the fastest growing companies of its
sector. While we started off rather humbly in the space of ecommerce B2C logistics, the last 5 years
have seen us steadily progress towards expanding our presence. Our vision to evolve into a strong full-
service logistics organization reflects itself in our new lines of business like 3PL, B2B Xpress and cross
border operations.
Our strong domain expertise and constant focus on meaningful innovation have helped us rapidly evolve
as the most trusted logistics partner of India. We have progressively carved our way towards best-in-
class technology platforms, an extensive network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics
solutions. Our big focus areas for the very near future include strengthening our presence as service
providers of choice and leveraging the power of technology to improve efficiencies for our clients.
Job Description
XB is looking for driven & talented engineers to build highly scalable, reliable and performant cloud-
based platforms to drive the logistics business. You will have opportunities to make a big impact at XB
on the software solutions being built for Logistics businesses. We build a variety of technology products
that span multiple businesses.
The challenges that SDEs at XB solve are big (handle 50 Lakh shipments per day!) and influence the E-
Commerce business in India in coming years. We are looking for individuals who are passionate about
creating new products, features, and services from scratch while managing ambiguity and the fast pace
of the company. The challenges span areas like highly scalable and reliable orchestration
platforms, Client Integration API frameworks, Billing Solutions, Workforce Engagement. Further you may
solve complex optimization problems like Vehicle routing, Allocation, Network Optimization etc.
Roles & Responsibilities
You will be responsible for working with cross functional teams to deep dive into the
business and technology problems related to our portfolio of products, understanding the
gaps that exist in our current tools, and work within our team and with partner teams to
design best in class solutions.
You will have the opportunity to influence, invent, and design system architecture
across multiple product and technology spaces.
You will lead and mentor other talented engineers. You will be responsible for building
the best customer experience, keeping latency, security, and usability in mind.
You will interact with Product Managers and Designers and convert their vision into
a technical solution.
You will own portions of software deliverables including major critical path code from
your designs while finding opportunities to grow and mentor the team around you.
You will collaborate with other engineering leads and guide the team on software
development best practices and set examples by using them in solutions that you build.
You will own the end-to-end design of major deliverables, working closely with a team
of SDEs and Front-End Engineers to execute them. This is a high visibility and fast-paced
environment where you will make a direct impact on the customer experience and the
bottom line of the company.
You should have a commanding understanding of object-oriented design, data
structures and algorithms which you use to mentor a team of engineers. You should have
experience with agile methodologies, experience building scalable services and robust user
interfaces. We make extensive use of AWS Services (API Gateway, Lambda, SQS, etc.) and
prior experience is a plus. Experience with modern JavaScript frameworks (like angular,
react, backbone, and node.js) would be a plus.
Qualifications
Experience developing cloud software services and an understanding of design for
scalability, performance, and reliability.
Development experience defining, developing and maintaining web service API's
Demonstrated ability to mentor other software developers to maintain architectural
vision and software quality.
Experience in communicating with users, other technical teams, and senior
management to collect requirements, describe software product features, technical designs,
and product strategy.
Experience taking a leading role in building complex software systems that have been
successfully delivered to customers.
Knowledge of professional software engineering practices & best practices for the full
software development life cycle, including coding standards, code reviews, source control
management, build processes, testing, and operations.
Experience with distributed computing and enterprise-wide systems
Deep understanding of CS fundamentals including data structures, algorithms and
complexity analysis.
Experience building large-scale, high-performance systems in a complex, multi-tiered,
distributed environment.
Design and architecture expertise as well as familiarity with object-oriented analysis and
design patterns (OOA/OOD).
Ability to thrive in a fast-paced, dynamic environment.
Shubham Vishwakarma
Full Stack Developer - Averlon
About xpressbees
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Python
FlaskPosition: Python Developer – Flask
Experience: 3+ Years
Location: Bangalore
Joining: Immediate Joiner Preferred
Employment Type: Full-Time
About the Role
We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.
Key Responsibilities
Develop, test, and maintain backend applications using Python and Flask.
Design and build RESTful APIs for web and mobile applications.
Collaborate with frontend developers, QA teams, and product stakeholders.
Write reusable, scalable, and efficient code.
Integrate third-party APIs and services.
Optimize application performance and troubleshoot issues.
Work with databases and ensure data security and integrity.
Participate in code reviews and technical discussions.
Maintain proper documentation for development activities.
Required Skills
3+ years of experience in Python development.
Strong hands-on experience with Flask framework.
Good understanding of REST API development.
Experience with MySQL/PostgreSQL/MongoDB databases.
Familiarity with ORM libraries such as SQLAlchemy.
Knowledge of Git/version control systems.
Understanding of software development lifecycle and agile methodologies.
Basic understanding of Docker and deployment processes is an added advantage.
Good debugging and problem-solving skills.
Preferred Skills
Experience with AWS/Azure or cloud platforms.
Exposure to microservices architecture.
Familiarity with CI/CD pipelines.
Knowledge of frontend technologies like React or Angular is a plus.
Educational Qualification
Bachelor’s degree in Computer Science, Information Technology, or related field.
What We’re Looking For
Immediate joiner or candidates with short notice period.
Strong communication and teamwork skills.
Self-driven and proactive mindset
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.
Python
Django
PostgreSQLPosition Overview:
We are looking for a talented and self-motivated Back-end Developer to join our development team. The ideal candidate will be responsible for writing clean, efficient, and maintainable code that enhances workflow organization and automates various internal processes within the organization. The role involves continuous improvement of our software solutions to save man-hours and ensure overall organizational efficiency. Key tasks include development, testing, debugging, troubleshooting, and maintenance of both new and existing programs.
Key responsibilities:
1) Software Development: Write clean, efficient, and maintainable code/flows that automate internal processes and improve workflow efficiency.
2) Testing and Maintenance: Perform testing, debugging, troubleshooting, and daily maintenance of created or integrated programs.
3) Adherence to Standards: Follow preferred development methodologies and adhere to organizational development standards.
4) Team work: To work closely with other team members to ensure the successful implementation of projects. Maintain clear and concise documentation of code, APIs, and software components to aid in knowledge sharing and future development.
5) Stay Current: Keep up to date with the latest developments in the Python, RPA ecosystem and engage in best practices of software engineering.
PythonDjangoGo Programming (Golang)Responsibilities:
- Design and code efficient, scalable systems that can accept feedback from multiple hundred thousand employees and generate insights
- Design efficient and scalable event driven systems to process complex machine learning pipeline
- Experiment with data to come up with unique insights and that can benefit our clients
- Identify libraries and technologies worth experimentation
- Participate in brainstorming sessions to bring more value to our clients
- Investigate performance issues / scalability bottlenecks, existing queries and/or write new queries with performance optimization in mind
- Develop RESTful APIs that can be used by frontend to show insights
- Debug and fix production level bugs as and when they crop up
- Support ad hoc data analytics upon requests by clients, and believe us nothing creates a better DB understanding than handling ad hoc data requests
Requirements:
- 3+ years of experience in architecture and developing high performance web applications
- Experience with systems ingesting/processing high amounts of data is a plus
- In-depth understanding of the entire web development process (design, development, and deployment)
- Experience with SQL and NoSQL database
- Working knowledge of RESTful API paradigms
- Experienced in microservices architecture
- Solid engineering principles and a clear understanding of data structures and algorithms
- Passion for products, empathy for users, and aspiration to make a big impact
Java
Spring Boot- Excellent Java programming skills.
- Experience in Web application Technologies like JAVA/JSP, HTML, Javascript, and CSS.
- Development experience using Java Spring Boot, Maven
- Knowledge and Experience in using REST API
- Experience in Database Query Languages.
- Experience in designing new application framework or migrating to new framework architecture, redesign, working on POC
- Should be open for understanding debugging the architecture of legacy systems and suggest changes wherever applicable.
- Experience in frameworks like Spring, Hibernate
- Experience in Multi-tier development/deployment of Web Application
- Experience in Producing and Consuming RESTful Web Services
- Strong in developing complex SQL Scripts to generate reports
- Familiarity in Maven, Gitx
- Familiarity in Unit Testing (JUnit)
- Familiarity with Continuous Integration tools (Jenkins etc)
Data SciencePythonDevelop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
JavaSpring Boot
Amazon Web Services (AWS)Preferred Skills:
We want to really emphasize Spring Boot (2+ years although 1+ if candidate particularly strong) Using Redis as a caching technology with Spring Boot would be a strong plus
Using Redisson (a particular java client library that can be easily configured with Spring Boot) would be a strong plus
Knowledge of event based messaging systems (Amazon SNS, Amazon MQ, or Kafka (in AWS) Data Cleaning tools and techniques in CSV and Excel
Strong Knowledge of Spring Boot Dependency Injection and Configuration
Experience with APIs for popular e-commerce platforms (Magento, Shopify, Big Commerce, etc.)
SDLC (Software Development Lifecycle) Tools in the context of AWS. (Tools classified under DevOps)
Experience with managing AWS EC2 VM instances and using AWS managed Services (like S3, MySQL, VPC/Networking, Lambda, etc)
Performance Analysis Tools (Code Profiling) on Java VM and particularly Spring Boot
Experience in the development of Workflow or Business Process ApplicationsNice to Have:
Experience with Cassandra or MongoDB with Spring Boot
Horizontal Scaling with Spring Boot (considerations running multiple instances of Spring Boot instances)
Experience with placing Spring Boot applications in Docker/Kubernetes container ecosystems (especially in AWS)
Search technologies such as Lucene/Solr
Ruby on Rails (ROR)PythonJava
Company profile
We are the pioneering player in the FinTech industry in India in the institutional credit space. We have created a one of a kind online marketplace for institutional credit ‘CredAvenue’, bringing together issuers and lenders, while also participating in the marketplace through their own balance sheet. Within a short span of two years, CredAvenue has gained immense traction and boasts of multiple clients across sectors, 120+ investors across multiple segments and a high volume of credit deal closures. To read about the latest numbers we have clocked, please visit http://www.credavenue.com">www.credavenue.com.
We are backed by two of the leading global Private Equity firms and have also been successful in attracting high quality talent from some of the leading companies and universities globally. With the fundamentals in place, we are now gearing up for our next phase of high growth, and we are further building up our team to take the company to the next level.
Primary Responsibilities
- Responsible for full software life-cycle, system design and development of front-end & back-end systems
- Writing high-quality code, participating in code reviews, designing/architecting systems of varying complexity and scope
- Identify libraries and technologies worth experimentation
- Build innovative solutions from scratch and liaise with architects and engineers to build solutions
- Mentoring other team members
Required Skill
- Degree in Computer Science or relevant experience
- 2-7 years of relevant hands-on software engineering experience doing software design and development
- Proven experience of working on back-end web frameworks like RoR (preferable) or Python/Django or Node.js
- Good command over at least one JavaScript frameworks like React.js, Vue.js or Angular
- Excellent understanding of relational database structures, having knowledge of unstructured databases (NoSQL) will be an added advantage
- Expertise in object-oriented design, unit testing, integration testing, data structures, algorithms, scalable APIs, etc.
- Knowledge of working on cloud technologies and exposure of AWS services (EC2, RDS, S3, etc)
- Work in a fast-paced environment and make pragmatic engineering decisions in a short amount of time
- Experience with Agile Development and Scrum methodologies.
Work Environment Details
- An opportunity to play a formative role in an ambitious financial services marketplace spanning investment banking, debt capital markets, institutional finance, retail lending and asset management
- A journey that will challenge and reward you in a manner few others will
PythonDjango
MongoDBHealthifyMe is a Health Tech Startup on a mission to make healthy living easy, fun and affordable for everyone by providing tech-enabled solutions. Founded in 2012, HealthifyMe is now India's largest and most loved health/fitness app with over 3 million users. The company helps consumers manage their health and fitness with diet and exercise tracking through a mix of technology intervention and human experts/coaches backed with artificial intelligence. HealthifyMe is co-founded by Tushar Vashisht (UPenn graduate, ex UID) and Sachin Shenoy (ex Google), and was incubated by Microsoft Accelerator. HealthifyMe is the highest rated app on Google Play with a rating of 4.6/5 and has been featured by Google and Apple multiple times for its quality benchmarks. The company, delivers measurable results on eating habits, fitness, and weight and is a platform of choice by leading Corporates and Healthcare partners in India.
Leadership Skill
- Technically hands on.
- Have previous experience of leading teams.
- Have experience with agile process, and ability to guide the team to follow the process.
- Comfortable in chaotic & high-energy, high-stakes start-up environment.
- Hates wasting time in unproductive meetings, and prefers getting quick consensus to move ship forward.
- Prefers delivering in production than spending time in meeting.
- Able to technically mentor team and guide them to high performance.
Technical Skills
- Loves solving technically hard problems.
- Have previous experience with Python(Django), MySQL.
- Have previous experience with one or more of AWS, RDS, SQS, EC2, DynamoDB, ElastiCache.
- NoSQL experience is good to have.
- Loves clean and structured code, and thrives to maintain it.
- Fast at coding, fast in learning and technically solid.
- Have previous experience in building, running and managing scalable and highly availability web services.
Look forward to
- Working with a world-class team.
- Fun & work at the same place with an amazing work culture and flexible timings.
- Get ready to transform yourself into a health junkie
Join HealthifyMe and Make History
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon