Remedy Developer

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.

About us:

Optimo Capital is a newly established NBFC founded by Prashant Pitti, who is also a co-founder of EaseMyTrip (a billion-dollar listed startup that grew profitably without any funding).

Our mission is to serve the underserved MSME businesses in India with their credit needs. With less than 15% of MSMEs having access to formal credit, we aim to bridge this credit gap by employing a phygital model (physical branches + digital decision-making).

As a technology and data-first company, tech and data enthusiasts play a crucial role in building the infrastructure at Optimo, and help the company thrive.

What we offer:

Join our dynamic startup team as a Backend Developer and play a crucial role in building robust web APIs, credit risk and underwriting decision engines, third-party tech integrations, data pipelines, and cloud infrastructure.

This is an exceptional opportunity to learn, grow, and make a significant impact in a fast-paced startup environment. We believe that the freedom and accountability to make decisions in system architecture and technical design bring out the best in you — and help us build the best for the company.

What We Look For:

We're looking for individuals with strong proficiency in Python, Django, and RESTful API development. Experience with Flask, FastAPI, or AWS is a strong plus. Beyond skills, we value your attitude - your hunger to learn, take ownership, and thrive both independently and as part of a team.

We encourage picking up new technologies fast, understanding them deeply, and shipping them into production with confidence.

Skills:

>Core Backend

• Python: Strong proficiency in writing clean, production-level Python code.
• Django & Django REST Framework: Working knowledge in building and maintaining server-side applications.
• Flask / FastAPI: Experience building lightweight RESTful APIs is highly valued
• REST APIs: Strong understanding of API design principles; prior experience building or integrating REST APIs from scratch is essential.

>Databases

• Solid understanding of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB)
• Basic knowledge of query design, database management, and performance optimization.

>Cloud & DevOps

• Basic understanding of AWS (EC2, S3, Lambda, or similar services) is beneficial.
• Familiarity with CI/CD pipelines, server deployments, and cloud infrastructure management is a plus.

>Data

• Understanding of data pipelines and ETL processes is a plus.
• Exposure to dashboarding or data layer tools is appreciated but not required.

>Version Control

• Proficiency in Git — branching, merging, pull requests, and conflict resolution.
• Experience contributing to collaborative codebases is highly valued.

What You'll Work On:

• Design and build backend systems for end-to-end lending workflows — from customer onboarding to loan disbursement — with a focus on credit and risk assessment.
• Develop and maintain REST APIs and rule engines that power straight-through processing for property loans.
• Integrate third-party APIs and services into our core platform.
• Support cloud infrastructure management, including source code repositories, CI/CD pipelines, and deployments.
• Take projects from ideation to production with ownership and accountability.

Other Requirements:

• 2–5 years of industry experience in a backend or software engineering role is required.
• Full-time availability in Bangalore; immediate joiners preferred.
• Strong passion for technology and backend problem-solving.
• Self-motivated, with the ability to work independently and collaboratively in a fast-moving environment.

If you are ready to embark on an exciting journey of growth, learning, and innovation, apply now to join our pioneering team in Bangalore.

Shift timings : Afternoon

Job Summary

We are seeking an experienced Senior Java Developer with strong expertise in legacy system migration, server management, and deployment. The candidate will be responsible for maintaining, enhancing, and migrating an existing Java/JSF (PrimeFaces), EJB, REST API, and SQL Server-based application to a modern Spring Boot architecture. The role involves ensuring smooth production deployments, troubleshooting server issues, and optimizing the existing infrastructure.

Key Responsibilities

● Maintain & Enhance the existing Java, JSF (PrimeFaces), EJB, REST API, andSQL Server application.

● Migrate the legacy system to Spring Boot while ensuring minimal downtime.

● Manage deployments using Ansible, GlassFish/Payara, and deployer.sh scripts.

● Optimize and troubleshoot server performance (Apache, Payara, GlassFish).

● Handle XML file generation, email integrations, and REST API maintenance.

● Database management (SQL Server) including query optimization and schema updates.

● Collaborate with teams to ensure smooth transitions during migration.

● Automate CI/CD pipelines using Maven, Ansible, and shell scripts.

● Document migration steps, deployment processes, and system architecture.

Required Skills & Qualifications

● 8+ years of hands-on experience with Java, JSF (PrimeFaces), EJB, and REST APIs.

● Strong expertise in Spring Boot (migration experience from legacy Java is a must).

● Experience with Payara/GlassFish server management and deployment.

● Proficient in Apache, Ansible, and shell scripting (deployer.sh).

● Solid knowledge of SQL Server (queries, stored procedures, optimization).

● Familiarity with XML processing, email integrations, and Maven builds.

● Experience in production deployments, server troubleshooting, and performance tuning.

● Ability to work independently and lead migration efforts.

Preferred Skills

● Knowledge of microservices architecture (helpful for modernization).

● Familiarity with cloud platforms (AWS/Azure) is a plus.

Roles and Responsibilities:

• Own development, design, scaling, and maintenance of application and messaging engines that power the central platform of Capillary's Cloud CRM product.

• Work on the development of AI and data science products for various use cases. Implement PoCs in Python, and Spark-Scala and productize the implementations.

• Contribute to overall design and roadmap.

• Mentor Junior team members.

Required Skills:

• Innovative and self-motivated with a passion to develop complex and scalable applications.

• 3+years of experience in software development with a strong focus on algorithms and data structures.

• Strong coding and design skills with prior experience in developing scalable & high-availability applications. Expertise in using Core Java/J2EE or Node.js

• Work experience with Relational databases and Non-Relational is required (Primarily MySQL, MongoDB, and Redis)

• Familiarity with big data platforms (like Spark-Scala) is an added plus.

• Strong Analytical and Problem Solving Skills.

• BTech from IIT or BE in computer science from a top REC/NIT.

Job Perks

• Competitive Salary as per market standards

• Flexible working hours

• Chance to work with a world class engineering team.

Why Join Us:

Be part of a fast-moving tech team building impactful, user-friendly apps with modern development practices and a collaborative work culture.

Capillary is an Equal Opportunity Employer and will not discriminate against any applicant for employment on the basis of race, age, religion, sex, veterans, individuals with disabilities, sexual orientation, or gender identity.

Disclaimer:

It has been brought to our attention that there have recently been instances of fraudulent job offers, purporting to be from Capillary Technologies. The individuals or organizations sending these false employment offers may pose as a Capillary Technologies recruiter or representative and request personal information, purchasing of equipment or funds to further the recruitment process or offer paid training. Be advised that Capillary Technologies does not extend unsolicited employment offers. Furthermore, Capillary Technologies does not charge prospective employees with fees or make requests for funding as a part of the recruitment process.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.