Senior Software Engineer (Python)

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.

Mandatory skills

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

• Software Engineering
  • Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal guidance for a market leader in the logistics industry
  • Partner with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team
  • Research new technologies and tools that enable building the next generation of our services
  • Provide technology leadership to the team and foster engineering excellence
• Product Delivery
  • Partner with product managers to define and execute on the feature roadmap
  • Translate business requirements into scalable and extensible design
  • Coordinate with various cross functional teams on planning and execution
  • Maintaining automated build / test / deployment environments

• Software Engineering
  • Should have at least 3 years of hands-on experience in designing, developing, testing and deploying applications on Java, Ruby, Kotlin, Python, Node or Go for large scale applications
  • Deep knowledge of one of the programming languages they have experience in
  • Proficient in OOP and Design Patterns, experience with functional programming would be a plus
  • Data modelling experience in Relational Databases
  • Ability to design and implement low latency RESTful services
• Product Delivery
  • Ability to scope, review and refine user stories for technical completeness and to alleviate dependency
  • Well versed in working with agile methodologies which includes phases such as design, development, code review, testing and release management
  • Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source code management tools
• Product Maintenance

• Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks
• Continuously refactor applications to ensure high quality design

We are looking for a high-performing Lead Developer to build our Ecommerce platform and API framework powered by Machine Learning and Artificial Intelligence. Candidates for this role will be passionate about well written code, testing, and excel at coming up with simple approaches to complex problems.

Our work culture is #overachiever, very amiable, and at the same time always charged with excitement. We encourage our team members to take responsibility and grow into future leaders in the industry.

Job Responsibilities:

• Understand project requirements, writing bug free clean code and ensure that the solution works per the agreed architecture, SLAs, KPIs and business model
• Integrate Django backend with third party API
• 100% Hands on role
• Make architecture decisions that contribute to maintainable systems
• Adapt to rapidly evolving requirements and changing priorities and drive the team accordingly
• Responsible to drive and support Ecommerce project activities and ensure marketplace implementation, deepen customer engagement, satisfaction, and user engagement
• Reverse engineer for debugging errors in code and ensure quality control in the process.
• Continually drive products towards a meaningful balance between user needs, business objectives and technical feasibility
• Documentation and reference preparation for users by writing operating instructions including changes and revisions.
• Operate in a hyper-collaborative way and follow these guiding principles: Value common sense and simplicity over complexity, make decisions quickly and move nimbly, celebrate diverse ideas, Succeed and fail together as a team

Qualifications:

• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed University
• 5 to 10 years of experience working in eCommerce domain, specifically at-least 3-5 years of experience working in Django and Python.
• React and/or Angular for front end
• Proficiency in MongoDB and MySql
• Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS
• Integration experience with Payment gateway, shipping company and VAT, database concepts, Experience of web services
• Experience in performance profiling, tuning, and optimization, caching mechanisms with Enterprise level applicants
• Analytical, debugging, and troubleshooting skill with proven experience troubleshooting and fixing production bugs
• Experience in writing unit testing and test case automation.
• Ability to operate in Agile environment with a start-up mentality and unstructured environment, Energy, drive and passion to work, and operate in a digital world.

Be Part Of Building The Future

Dremio is the Data Lake Engine company. Our mission is to reshape the world of analytics to deliver on the promise of data with a fundamentally new architecture, purpose-built for the exploding trend towards cloud data lake storage such as AWS S3 and Microsoft ADLS. We dramatically reduce and even eliminate the need for the complex and expensive workarounds that have been in use for decades, such as data warehouses (whether on-premise or cloud-native), structural data prep, ETL, cubes, and extracts. We do this by enabling lightning-fast queries directly against data lake storage, combined with full self-service for data users and full governance and control for IT. The results for enterprises are extremely compelling: 100X faster time to insight; 10X greater efficiency; zero data copies; and game-changing simplicity. And equally compelling is the market opportunity for Dremio, as we are well on our way to disrupting a $25BN+ market.

About the Role

The Dremio India team owns the DataLake Engine along with Cloud Infrastructure and services that power it. With focus on next generation data analytics supporting modern table formats like Iceberg, Deltalake, and open source initiatives such as Apache Arrow, Project Nessie and hybrid-cloud infrastructure, this team provides various opportunities to learn, deliver, and grow in career. We are looking for innovative minds with experience in leading and building high quality distributed systems at massive scale and solving complex problems.

Responsibilities & ownership

• Lead, build, deliver and ensure customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product.
• Work on distributed systems for data processing with efficient protocols and communication, locking and consensus, schedulers, resource management, low latency access to distributed storage, auto scaling, and self healing.
• Understand and reason about concurrency and parallelization to deliver scalability and performance in a multithreaded and distributed environment.
• Lead the team to solve complex and unknown problems 
• Solve technical problems and customer issues with technical expertise
• Design and deliver architectures that run optimally on public clouds like  GCP, AWS, and Azure
• Mentor other team members for high quality and design 
• Collaborate with Product Management to deliver on customer requirements and innovation
• Collaborate with Support and field teams to ensure that customers are successful with Dremio

Requirements

• B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
• Fluency in Java/C++ with 8+ years of experience developing production-level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models, and their use in developing distributed and scalable systems
• 5+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
• Hands-on experience  in query processing or optimization, distributed systems, concurrency control, data replication, code generation, networking, and storage systems
• Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
• Passion for learning and delivering using latest technologies
• Ability to solve ambiguous, unexplored, and cross-team problems effectively
• Hands on experience of working projects on AWS, Azure, and Google Cloud Platform 
• Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure, and Google Cloud) 
• Understanding of distributed file systems such as  S3, ADLS, or HDFS
• Excellent communication skills and affinity for collaboration and teamwork
• Ability to work individually and collaboratively with other team members
• Ability to scope and plan solution for  big problems and mentors others on the same
• Interested and motivated to be part of a fast-moving startup with a fun and accomplished team

How would you leverage your technical expertise to create extraordinary impact for our clients?

ThoughtWorks is a global software consultancy with an aim to create a positive impact on the world through technology. Our community of technologists thinks disruptively to deliver pragmatic solutions for our clients' most complex challenges. We are curious minds who come together as collaborative and inclusive teams to push boundaries, free to be ourselves and make our mark in tech.

Our developers have been contributing code to major organizations and open source projects for over 25 years. They’ve also been writing books, speaking at conferences and helping push software development forward, changing companies and even industries along the way. 

You could influence the digital strategy of a retail giant, build a bold new mobile application for a bank or redesign platforms using event sourcing and intelligent data pipelines. You will use the latest Lean and Agile thinking, create pragmatic solutions to solve mission-critical problems and challenge yourself every day.

For a team to thrive, it needs active collaboration and room for healthy, respectful debate. Senior Developers are the technologists who cultivate this environment while driving teams toward delivering on an ambitious tech vision and acting as mentors for more junior-level consultants. They leverage their deep technical knowledge to solve more complex business problems and actively assess their team’s health, code quality and nonfunctional pipelines. 

You’ll spend time on the following:

• You will use continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible.
• You will work in collaborative, value-driven teams to build innovative customer experiences for our clients
• Create large-scale distributed systems out of microservices
• You will apply the latest technology thinking from our tech radar to solve client problems
• Efficiently utilize DevOps tools and practices to build and deploy software
• You will lead or take part in the entire cycle of software consulting and delivery from ideation to deployment and everything in between
• You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills 

Here’s what we’re looking for:

• You have at least 5 years of experience with two or more development languages such as Java, C#, or Ruby
• You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
• Presence in the external tech community: you proactively share your expertise with others via speaking engagements, contributions to open source, blogs and more
• Comfortability with Agile methods, such as Extreme Programming (XP), Scrum and/or Kanban
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed 
• You’re willing and able to commit to travel to client sites in order to solve their business problems
• You’re resilient in ambiguous situations and can approach challenges from multiple perspectives
• Bonus points if you have working knowledge of cloud technology such as AWS, Azure, Kubernetes and Docker