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Senior Software Engineer
Office commute App
Senior Software Engineer
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Senior Software Engineer

at Office commute App

Agency job
via Amicon
3 - 7 yrs
₹30L - ₹50L / yr
Delhi, Gurugram, Noida
Skills
skill iconPython
skill iconDjango
skill iconFlask
WHAT SKILLS SHOULD I HAVE ?
For this role we expect you to have 3+ years of experience in Backend development. You should have strong command
of Python, REST and Flask/Django along with some experience in GIT is nice to have. If you have knowledge about client
side languages like JS, ReactJS and experience in API design and development, it is a huge plus.
You should be knowledgeable about programming languages, operating systems, networks, databases and SQL,
algorithms, architecture, code design and design patterns
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Recruiting Bond
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2 candid answers
Pavan Kumar
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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.


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We are seeking a Junior Developer with 1-3 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

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What We Offer

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Who we are and what we do:
 India's first platform to democratise access to dream jobs for all eligible aspirants
irrespective of their college, degree or network. By taking the Relevel Test, they engage in
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● Surfaces both technical and non-technical team challenges and helps resolve them

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Experience &

 

Skills

● Expert at in RoR, Golang, NodeJS or Python. Good to have exposure to ML.

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Type: Individual contributor with good hands on proficiency. 

 

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1. Installing APIs
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Allyio
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Mohan Dass
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From the very beginning, Ally has believed that the right people united by the right mission can redefine the possible

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Additional Information

Benefits

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TravClan
at TravClan
1 recruiter
Ashish Thapliyal
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Delhi, Gurugram, Noida, Ghaziabad, Faridabad
1 - 7 yrs
₹6L - ₹20L / yr
skill iconNodeJS (Node.js)
skill iconPHP
skill iconPython
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Key Skills:

1. One or more of Python/PHP/Ruby/NodeJS/Java

2. Sound object-oriented skills, including strong design patterns knowledge

2. REST APIs

3. MVC architecture

4. MySQL/PostgreSQL

5. Exp with at least 1 NoSQL databases MongoDB/Memcache/Redis/

6. Exp with search technologies Elasticsearch/Solr

7. Exp building messaging based asynchrounous systems RabbitMQ/Kafka/SQS/Celery will be added advantage

8. Exp with Django/Flask frameworks will be added advantage

9. Knowledge of software best practices like Test-Driven Development (TDD) and Continuous Integration (CI) will be added adnavtage

 

 

Requirements:

 

1. Developing software solutions in conjunction with Relational theory, Rest APIs and NoSQL database technologies

2. Knowledge of cloud based technologies in AWS or Azure will be added advantage

3. Understanding of RDBMS technologies like MySQL, PostgreSQL.

4. Hands-on with Version control systems (GIT, SVN) and Unix/Ubuntu.

5. Experience in requirement analysis, HLD, LLD, unit & integration testing.

6. Good hands on experience in debugging application issues

 

TL;DR

 

1) Top performer in the company

2) Has worked with product based startup company

3) Ambitious and hardworking

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WyngCommerce
at WyngCommerce
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Sharad Lahoti
Posted by Sharad Lahoti
Bengaluru (Bangalore)
3 - 7 yrs
₹8L - ₹18L / yr
skill iconPython
skill iconDjango
Data Structures
Algorithms
RESTful APIs
WyngCommerce is building state of the art AI software for the new age Consumer Brands & Retailers which helps them to provide best of the class customer experiences. Our solutions help the brands in identifying the right opportunities in terms of Inventory Placement, Assortment & Overall Planning of their merchandise. Backed by a clutch of prominent angel investors & having some of the category leaders in Indian retail industry as early adopters, we are looking to hire for our engineering team. The engineering team at WyngCommerce is building one the most robust & scalable data systems & infrastructure which can handle Millions of concurrent computations, seamlessly connect to multitude of Enterprise Data Sources, implementing libraries of state of the art optimisations & other algorithms using various ML & DL techniques. Your Role & Responsibilities - > Own a set of Modules / Components in the Data Processing & Core Compute Engine > Work in tandem with the Data Science team to implement & optimise performance of various algorithms > Come up with innovative & fast MVPs to solve business problems by working closely with the Founders > Driving Design, Architecture & Infrastructure level decisions & setting up best practices for the same to deliver best in class performance & data security > Lead & Mentor SDEs to setup best practices Desired Skills & Experiences - > Proficiency with Python, Redis, Postgres SQL with 2+ years of work experience in Product Orgs > Excellent understanding of Data ETL, Data Warehouses, Queues & Messaging Pipelines, Database performances & Hands on experience of Big Data Systems (Spark, Kafka, Hive etc) > Product thinking, Building robust reusable components from integrations, ETL to Optimisation & ML libraries & workbenches > Ability to weigh trade offs of speed vs perfection & take calls to use open source / other software component to fast-track the go to market > Experience in developing Real World ML/Optimisation/advanced analytical systems > Basic understanding of Maths behind statistical methods & ML techniques will be a plus point
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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