
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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Key Responsibilities:
- Design, develop, and maintain full-stack applications using Python and React.
- Collaborate with designers, product managers, and other developers to build user-friendly interfaces and seamless APIs.
- Optimize applications for maximum speed and scalability.
- Write clean, maintainable, and well-documented code.
- Debug and resolve technical issues promptly.
- Implement unit and integration tests to ensure high-quality deliverables.
- Stay updated with the latest industry trends, tools, and technologies.
- Participate in code reviews and contribute to team best practices.
Required Skills and Qualifications:
- 3–5 years of hands-on experience with Python and React.
- Strong understanding of JavaScript, ES6+, and TypeScript (preferred).
- Proficient in building RESTful APIs and integrating with frontend frameworks.
- Experience with state management libraries (e.g., Redux, Context API).
- Familiarity with databases such as MongoDB, PostgreSQL, or MySQL.
- Experience with modern build tools and package managers like Webpack, Babel, NPM, or Yarn.
- Hands-on experience with version control tools, particularly Git.
- Knowledge of containerization and CI/CD pipelines is a plus.
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.
Role Overview
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.
Key Responsibilities
- Develop, test, and maintain Python-based applications and APIs.
- Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.
- Work with JSON-based data structures for request/response handling.
- Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.
- Collaborate with the product and AI teams to implement new features.
- Debug, troubleshoot, and optimize performance of applications and workflows.
- Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.
Required Skills & Qualifications
- Strong knowledge of Python (scripting, APIs, data handling).
- Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.
- Experience with JSON data parsing and transformations.
- Familiarity with PostgreSQL or other relational databases.
- Ability to write clean, maintainable, and well-documented code.
- Strong problem-solving skills and eagerness to learn.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Nice-to-Have (Preferred)
- Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
- Experience working in startups or fast-paced environments.
- Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).
What We Offer
- Opportunity to work on cutting-edge AI applications in permitting & compliance.
- Collaborative, growth-focused, and innovation-driven work culture.
- Mentorship and learning opportunities in AI/LLM development.
- Competitive compensation with performance-based growth.
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
comprehensive skill assessments, which evaluate industry relevant skills and their
job-readiness. Our evaluation is purely objective-based in conjunction with current best
practices in the industry.
We offer the excitement of an early stage startup coupled with the stability of a unicorn like
Unacademy which is a market leader in the Ed-Tech space. At Relevel, we truly value
ownership and accountability as opposed to the pedigree and background of the applicants.
We are looking at folks who are willing to learn and grow along with us in our fast paced
growth journey of going global.
If you believe in our mission of offering job seekers a fair shot at realising their dreams, we're the right place for you!
Engineering
● We use cutting edge technologies to build our products which means you get to be
updated on the latest tech stack.
● You don’t need to have experience in any of our specific technologies;we are good at
teaching our Engineers. Our diverse group of Engineers are a great team to work
with and to learn.
● We deploy changes to production multiple times a day.
● Blameless culture and a continuous learning mindset
What engineers do at the company
● Making a global platform with the scale of millions of users.
● Working directly with designers and PMs to make a world class test taking
experience.
● Building a platform for companies and writing an ML based algorithm to match
candidates and companies.
● Building an Ed-Tech product for the upskilling of candidates.
What you need to bring
● Expertise in backend frameworks/technologies like Python/Django, Golang,
Postgres, Redshift, and AWS.
● Solid coding and problem-solving skills with the ability to architect cross-team
features to refactor existing frameworks. Familiarity with design patterns is a must
too.
● The ideal person has worked on a product that they were able to drive to production
in a startup environment.
● Proficiency in building highly scalable systems
● Ownership mindset- Taking end to end ownership of backend initiatives and being
part of the core team in driving the overall growth of the organization in achieving its
vision.
Why do you want to work
● All fixed compensation structure, No variable component
● Medical insurance for you and your family
● Practo Subscription for unlimited online doctor consultation
● Ultrahuman subscription
● ESOP earning capacity every quarter
● Office pantry with food and beverage of your choice
● Cab facility post 8 pm
● Certifications/Upskilling opportunities
● Opportunity to attend and speak in conferences
● Flexible working hours including remote work option
|
Roles and Responsibilities |
● Leads more than one projects end-to-end and collaborates across functions. Drives planning, estimation and execution. ● Manages stakeholder expectations and offers scalable, reliable, performant and easy to maintain solutions ● Consistently delivers complex, well backed and bug-free products in time ● Consistently takes well thought technical/design decisions ● Develops expertise in more than one area and shares knowledge with others. able to mentor/train in areas which are new to them. ● Drives people to solve engineering challenges ● Enjoys high respect of Tech and other cross functional teams ● Demonstrates effective communication with project team, management and internal/external clients as necessary. ● Surfaces both technical and non-technical team challenges and helps resolve them ● Champion for SDLC best practices and high quality standards ● Significantly contributes in hiring high performance candidates |
|
Experience &
Skills |
● Expert at in RoR, Golang, NodeJS or Python. Good to have exposure to ML. ● Must have experience in cloud computing ● Operates independently with almost no oversight ● Is able to apply domain expertise to think critically and make wise decisions for the team, taking into account tradeoffs and constraints. ● Communicates tech decisions through design docs and tech talks ● Has delivered multiple projects with end-to-end engineering ownership ● Keeps track of new technology/tools and embraces them as necessary ● 12+ years of experience in product driven organization ● A Bachelors or Masters degree in engineering from a reputed institute (preferably IITs, NITs, or other top engineering institutes) |
Type: Individual contributor with good hands on proficiency.
Must have
- Strong proficiency in at least one of Java, Ruby, Python
- Exposure to databases: any of PostgreSQL, MySQL, Apache Cassandra
- Any NoSQL database experience is a plus
- Exposure to AWS cloud infrastructure: EC2 or S3
- Proficiency with Git
- MUST: Using REST to make API calls.
Great to have:
- Experience working with one or more middleware, enterprise bus, queueing frameworks
- Any of Memcached/Redis, Apache Kafka / RabbitMQ / PubSub+ / AmazonMQ
Soft skills:
- Appreciation for clean and well documented code
What will you do at Tradyl:
(Examples for illustration only)
- Build a shipping service module that is called by our website to query shipping rates from India to a destination country. Configure this to so that an Ops person can update shipping costs as and when they change. Own deployment and monitoring of this service.
- Use Zapier to build a workflow to export a MixPanel report into a Google sheet every day.
- Change our supplier portal (built on bubble.io) to make an API call to our customer facing site, whenever a supplier modifies his profile.
- Write an alert mechanism that identifies catalogues with insufficient information and makes them non discoverable, which can run every day.
- Work with Business Team to design a workflow for product inwarding using Airtable. Write a small app within Airtable so that whenever a product is updated as “shipped” in airtable, it updates the customer facing website.
- Use an open source dashboarding framework to create a quick dashboard to track important business events.
We will be willing to offer ESOPs in the future.
Roles and Responsibilities- Will be sole responsibility for all tech realted issues.
We have already built a web application.
-The candidate will be responsible for the backend needs of the company and solely responsible for the project
- The backend languages is Python-Django Framework
-The candidate should have worked on big scalable projects before and shall be able to execute.
- Should be able to complete work on time.-Developer should be willing to learn as the project is multi-functional and dynamic.
1. Installing APIs
2. Design, develop and test features from inception to rollout
3. Write high quality code that is scalable, testable, maintainable and reliable
From the very beginning, Ally has believed that the right people united by the right mission can redefine the possible
Ally is a B2B SaaS startup. We enable teams to focus, align and achieve goals, with strong employee engagement. Our OKR solution is ridiculously easy to use and scalable to startups and larger teams.
We believe in being where the work happens. Ally is well integrated with the tools and products that we already use in our daily workflows. Further, you can access it from the web and mobile. Ally’s Insights identifies problems and helps the team make the necessary changes to achieve the goals on time.
We are looking for a Lead Software Engineer to join our Ally Engineering Team in Chennai, India.
What does a lead software engineer do at Ally?
As a lead software engineer, you will be the technical lead for a team that focuses on building software applications that scale well. You will play a significant role in shaping our software architecture that provides measurable customer value. You understand both technology and business to know the right tradeoffs to make. You will be a technical mentor for your team members. You will work closely with your peers, managers, product, design and operations teams to create solutions that meet business requirements. You will drive engineering and operational excellence across Ally. You will collaborate with other engineers to surface common pain points, develop solutions and evangelize best practices.
Qualifications
- 7+ years of professional software engineering experience building customer-facing web and/or mobile applications
- Strong coding skills using Ruby, Java, C/C++, Scala (or equivalent programming language)
- Excellent knowledge of Data Structures and Algorithms
- Bachelor or Master degree in Computer Science or a related discipline
- Experience working in an agile environment
- Self-starter, quick learner and passionate problem resolver
- Excellent debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve customer problems
- Good oral and written communication skills
- Above all, an insatiable desire and ability to learn
Nice to have skills:
- Experience with large-scale SaaS applications
- Experience building web and mobile applications
- Experience designing services on top of cloud infrastructure like AWS, Azure, etc
- Knowledge of Ruby on Rails
- Prior experience as a technical lead
Additional Information
Benefits
- Ownership and autonomy to drive customer and culture initiatives
- Centrally located in the city; right next to Metro station
- Opportunity to get mentored and mentor junior engineers
- Competitive salaries
- Paid time off
- Medical insurance
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











