Software Engineer - Open Source

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.

Position: Software Development Engineer - 2

Location: Bangalore/Remote

Role Overview

We are looking for a Software Development Engineer - 2 with 4-6 years of experience who is passionate about writing clean, scalable code and enjoys solving complex backend challenges. As part of the engineering team, you’ll work on designing, developing, and maintaining backend services, primarily in Python, with exposure to other backend technologies like Node.js and Go. You'll contribute to our microservices architecture, APIs, and cloud-native solutions, ensuring security and performance at scale.

Responsibilities

• Write, test, and maintain scalable and efficient backend code in Python (FastAPI or similar frameworks).
• Collaborate with cross-functional teams to design and implement APIs and microservices.
• Ensure code quality by writing and reviewing test cases, and conducting code reviews.
• Handle bug fixing and troubleshooting for backend systems as needed.
• Build and optimize backend systems to positively impact business outcomes.
• Design and implement cloud-native solutions with a focus on performance and security.
• Monitor system health and continuously improve performance and reliability.
• Contribute to process and code improvements, focusing on best practices.

Must-Have Technical Skills

• 4-6 years of experience working with Python (preferably FastAPI or other frameworks).
• Strong understanding of OOP principles and best coding practices.
• Experience in designing and releasing production APIs.
• Proficiency in RDBMS and NoSQL databases.
• Familiarity with microservices and event-driven architecture.
• Experience in cloud-native application development (SaaS).
• Knowledge of cloud services such as GCS, AWS, or Azure.
• Strong focus on security in design and coding practices.

Good-to-Have Skills

• Experience in building and maintaining CI/CD pipelines.
• Hands-on experience with NoSQL DBs.
• Exposure to working in a cloud environment and familiarity with infrastructure management.
• Aggressive problem diagnosis and creative problem-solving skills.
• Excellent communication skills for collaborating with global teams.

About Us 

Scrut Automation is an information security and compliance monitoring platform, aimed at helping small and medium cloud-native enterprises develop and maintain a robust security posture, and comply with various infosec standards such as SOC 2, ISO 27001, GDPR, and the like with ease. With the help of the Scrut platform, customers reduce their manual effort for security and compliance tasks by 70%, and build real-time visibility of their security posture. 

Founded by IIT/ISB/McKinsey alumni, the founding team has over 15 years of combined Infosec experience. Scrut is built out of India for the world, with customers across India, APAC, North America, Europe and the Middle East. Scrut is backed by Lightspeed Ventures, MassMutual Ventures and Endiya Partners, along with prominent angels from the global SaaS community.

Why should this job excite you?

• Flat-hierarchy, performance-driven culture 
• Rapid growth and learning opportunities
• Comprehensive medical insurance coverage 
• A high-performing action-oriented team 
• Competitive package, benefits and employee-friendly work culture

Note: Due to a high volume of applications, only shortlisted candidates will be contacted. Thank you for your understanding.

We are searching for a Laravel developer to build web applications for our clients. In this role, you will design and create projects using Laravel framework and PHP, and assist the team in delivering high-quality web applications, services, and tools for our business.

Responsibilities-

1. Discussing project aims with the client and development team.
2. Designing and building web applications using Laravel.
3. Troubleshooting issues in the implementation and debug builds.
4. Working with front-end and back-end developers on projects.
5. Testing functionality for users and the backend.

Requirements-

• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.

Additional information-

Job type- Full time- in office

Minimum experience- 1 year

• 3 years Experience in Ruby on Rails
• Minimum 3 years in MongoDB / PostgreSQL
• Must be from Product based companies   

• 3+ years of experience in Ruby / RoR
  • Experience with data files processing (xls, csv, json, xls, text: 834, NACHA, segments)
  • Experience working with relational databases (PostgreSQL)
  • Experience with Git
  • Good written and spoken English (Intermediate and higher)
  • Experience deploying Rails applications
  • RESTful API, JSON API

Will be a plus:
• Experience working with Unit and Integration Testing (Rspec, Capybara)
• Experience of integration with 3rd party systems and services and cloud technologies ( AWS stack: EC2, RDS, S3, etc.)
• Experience with RuboCop, JSHint/JSLint
• Experience with Microservice Architecture
• Knowledge of HTML5, CSS3
• Experience working with modern JavaScript frameworks — Ember.js, Vue.js

1. Should be very strong Scala development(Coding)
2. With Any combination of Java/Python/Spark/Bigdata
3. 3+ years experience in Core Java/Scala with good understanding of multithreading
4. The candidate must be good with Computer Science fundamentals
5. Exposure to python/perl and Unix / K-Shell scripting
6. Code management tools such as Git/Perforce.
7. Experience with large batch-oriented systems 
8. DB2/Sybase or any RDBMS
9. Prior experience with financial products, particularly OTC Derivatives
10. Exposure to counterparty risk, margining, collateral or confirmation systems