Senior Software Developer

Job Requirements

• 3+ years of professional backend development experience with Python, and working knowledge

of TypeScript.

• Solid understanding of Python frameworks (e.g., FastAPI, Django, Flask) and TypeScript-based

backend frameworks (e.g., Node.js, NestJS, Express)

• Hands-on experience using Temporal to design and orchestrate workflows.

• Proven expertise in data extraction, normalization, and deduplication.

• Strong experience implementing proxy solutions and navigating bot-detection mechanisms (e.g.,

Cloudflare).

• Experience with Docker, containerized deployments, and cloud platforms such as GCP or Azure.

• Proficiency with database technologies including MongoDB and Elasticsearch.

• Demonstrated experience designing and maintaining scalable, high-performance APIs.

• Working knowledge of software testing methodologies (unit, integration, and end-to-end).

• Familiarity with CI/CD pipelines and version control systems like Git.

• Strong problem-solving abilities, attention to detail, and comfort working in agile, fast-paced

environments.

• Excellent communication skills with the ability to operate effectively in ambiguous or loosely

defined problem spaces.

Key Responsibilities:

• Design and develop backend components and sub-systems for large-scale platforms under guidance from senior engineers.
• Contribute to building and evolving the next-generation customer data platform.
• Write clean, efficient, and well-tested code with a focus on scalability and performance.
• Explore and experiment with modern technologies—especially open-source frameworks—
• and build small prototypes or proof-of-concepts.
• Use AI-assisted development tools to accelerate coding, testing, debugging, and learning while adhering to engineering best practices.
• Participate in code reviews, design discussions, and continuous improvement of the platform.

Qualifications:

• 0–2 years of experience (or strong academic/project background) in backend development with Java.
• Good fundamentals in algorithms, data structures, and basic performance optimizations.
• Bachelor’s or Master’s degree in Computer Science or IT (B.E / B.Tech / M.Tech / M.S) from premier institutes.

Technical Skill Set:

• Strong aptitude and analytical skills with emphasis on problem solving and clean coding.
• Working knowledge of SQL and NoSQL databases.
• Familiarity with unit testing frameworks and writing testable code is a plus.
• Basic understanding of distributed systems, messaging, or streaming platforms is a bonus.

AI-Assisted Engineering (LLM-Era Skills):

• Familiarity with modern AI coding tools such as Cursor, Claude Code, Codex, Windsurf, Opencode, or similar.
• Ability to use AI tools for code generation, refactoring, test creation, and learning new systems responsibly.
• Willingness to learn how to combine human judgment with AI assistance for high-quality engineering outcomes.

Soft Skills & Nice to Have

• Appreciation for technology and its ability to create real business value, especially in data and marketing platforms.
• Clear written and verbal communication skills.
• Strong ownership mindset and ability to execute in fast-paced environments.
• Prior internship or startup experience 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.

Description:

We are looking for a skilled .NET Web & MAUI Developer with 4–5 years of hands-on experience in building scalable web applications and cross-platform mobile apps. You will be working closely with our product and design teams to deliver high-quality solutions that meet client needs while following best practices in coding, architecture, and performance.

What we are looking for?

• 4–5 years of strong experience in .NET Web Development
• Proven expertise in .NET MAUI for cross-platform mobile app development
• Good understanding of C#, ASP.NET Core, MVC, and Web APIs
• Knowledge of Entity Framework, LINQ, and SQL Server
• Familiarity with UI/UX principles and integrating APIs into mobile/web apps
• Ability to write clean, maintainable, and reusable code following best practices

What will you do at Digicorp?

• Design, develop, and maintain scalable web and mobile applications using .NET Web and MAUI
• Collaborate with cross-functional teams including designers, product managers, and QA to deliver high-quality solutions
• Work on a US based healthcare product

Designation: Backend Developer

Location:  Mumbai (Currently Remote)

Principal Accountabilities:

• Develop, Enhance, and Modify Applications for a Global Market Environment.
• Design, Code, Test, Debug, and Document programs for corporate systems architecture.
• Work closely with Business stakeholders to define requirements for system applications

Work Dimensions:

• API integration, Application deployment, Test Driven Development & Agile methodologies
• Database designing ; (Knowledge of NoSQL databases is a plus).
• Familiarity in Unix/Linux development environments & tools including scripting.
• Designing system architecture for solving complex problems with a sound understanding of object-oriented programming and design patterns.

Work Context:

• A fast moving, high growth, entrepreneurial environment.
• Need to work on Git and work in a highly collaborative environment.
• Timely reporting is required.
• Must typically have in-depth knowledge of development tools and languages
• Ensure full legal and ethical compliance and conduct of business at all times and under all circumstances
• Attention to detail needed to maintain a global standard of work output
• Supervise, mentor, coach a small team of associates on a day to day basis for better management of their performance.

Role requirements:

• 2 to 6 years of experience in the IT industry
• 2+ years of experience in NodeJS
• Graduate degree (B.Tech/ BSc. IT) in IT/Engineering/Computer Science
• Strong problem-solving abilities
• Good communication skills.
• A good team player

• Strong knowledge of JavaScript.
• Knowledge of and its frameworks.
• Knowledge of NodeJS deployment over servers like AWS, the digital ocean.
• Good understanding of relational databases. Having experience with MongoDB will be an advantage.
• Proficiency in handling server-side development, deployment, and debugging.
• Having worked in socket programming is an added advantage.
• Good understanding of code versioning tools, such as Git.

Job Description

Viaan Industries Limited is looking for a Software Developer who is motivated to combine the art of design with the art of programming.The ideal candidate for this position will have a broad technical skill set and extensive experience in this industry. As a result, the candidate should be able to design, develop, test and deploy the products required for the company's needs. Moreover, the candidate should be able to work with other developers in determining product strategy.

Responsibilities

- Own the product : Design, Develop & Deploy

- Ensure Quality & sustainability of the architecture

- Obsess about code quality, automated testing, continuous integration, code reviews, and documentation

- Provide quick & creative solutions for day-to-day operational issues

- Assure that all user input is validated before submitting to back-end.

- Ensure the technical feasibility of UI/UX designs.

Required Skills

- Proficient in Server Side Programming Languages :- PHP (Laravel)

- Proficient in design & architecting scalable products.

- Must have hands on experience in Ajax, Jquery.

- Database knowledge – MongoDb.

- Knowledge of Development Tools Bitbucket, Git, CI/CD with BitBucket and JIRA

- Web Server technologies:- Apache, Nginx

- Solid foundation in data structures, algorithms, and system design

- Expert in HTTP terminologies such as Request/Response cycle, content negotiation, CORS etc

- Management of hosting environment, including database administration and scaling an application to support load changes

- Optimization of the application for maximum speed and scalability

- Implementation of security and data protection

- Setup and administration of backups

- Obsess about code quality, automated testing, continuous integration, code reviews, and documentation.

- Exposure to microservices architecture/ API concepts would be an added advantage.

- Good organizational and time-management skills

Good To Have

- Knowledge of NodeJs, Angular

- Familiarity with AWS products - Beanstalk, Elb, ECS, EC2, SNS, SQS, S3, RDS, etc.

Qualifications

• Bachelor’s degree or equivalent in computer science / engineering

Responsibilities Include

You will break down business opportunities and problems into software solutions. You will work closely with the CTO to help product and marketing stakeholders distill the product vision and roadmap, into a technology vision. You will be responsible for the evolution of an already bleeding-edge highly distributed systems at the back-end, and would need to work with front-end architects to come up with the best user experience for the gaming platform. You will be required to make decisions quickly, and work under strict timelines. You would lead technology strategy through analysis of market trends and product requirements. You would help set coding guidelines and help bring the most modern tools to keep engineering processes most efficient.

Requirements

• B.E/MS in Computer Science or equivalent.
• 10+ years or more of progressive software technology experience with at least 3 years in an architectural role.
• Completely hands on with technology and architecture. Start-up experience is a huge plus.
• Ability to quickly prototype and demonstrate technology value adds and educate + drive adoption within the extended technology team
• Excellent and robust understanding of scalable product system architecture(s), platforms and core technologies
• Demonstrated problem-solving and leadership skills to pursue correct engineering process in adverse conditions. Ability to embrace and demonstrate leadership beyond ownership
• Work with engineering leadership to setup and manage processes.
• Track record of thought leadership and out of the box thinking in the technology arena.
• Ability to work efficiently in an entrepreneurial and in a start-up environment
• A Java/Spring/Akka, Javascript or Golang rockstar.
• Deep and hands on knowledge of some of these technologies - MySQL, NodeJS, message brokers such as Kafka/RabbitMQ, NoSQL datastore such as Mongo, Cassandra, Arango, distributed caches such as Redis/memcached, container technology such as Docker and Kubernetes etc.
• Great proficiency in distributed systems design, with an ability to make the right trade-offs for creating future-proof solutions.
• Building quick PoCs and full-fledged solutions with various AWS managed services would be a big plus.