11+ matplotlib Jobs in Mumbai | matplotlib Job openings in Mumbai

About the Role:

We’re looking for a Python Developer to build, optimize, and scale applications that power our trading systems. You’ll work on automation, server clusters, and high-performance infrastructure in a fast-paced, tech-driven environment.

What you’ll do:

• Build and test applications end-to-end.
• Automate workflows with scripts.
• Optimize system performance and reliability.
• Manage code versions and collaborate with peers.
• Work with clusters of 100+ servers.

What we’re looking for:

• Strong Python fundamentals (OOP, data structures, algorithms).
• Experience with Linux commands, Bash scripting.
• Basics of Numpy, Matplotlib, and PostgreSQL.
• Hands-on with automation and scripting tools.
• Problem solver with a focus on scalability & optimization.

Why Dolat?

• Work at the intersection of finance & tech.
• Opportunity to solve complex engineering problems.
• Learn and grow with a team of smart, collaborative engineers.

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.

Java Lead We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Experience: 8–13 years in Java development. Domain Expertise: Background in product-based companies, investment banking experience preferred. Leadership: Proven ability to lead teams of 3–4 members. Technical Depth: Hands-on with complex systems and distributed architectures. Soft Skills: Strong analytical thinking, problem-solving, and excellent communication. Process Knowledge: Expertise in end-to-end SDLC and Agile methodologies. Tech Stack ● Languages & Frameworks: Core Java, J2EE, Spring Boot, Spring Framework. ● Architecture: RESTful APIs, Microservices. ● Persistence: Hibernate/JPA. ● Databases: Postgres, MySQL (or similar). ● Tools: Maven/Gradle, CI/CD pipelines. ● Cloud: AWS/Azure (nice to have). 

🔹 Mandatory Skills & Experience:

• Minimum 2–4 years of experience in software development.
• Strong proficiency in Flutter framework for cross-platform mobile app development (Android & iOS).
• Solid experience in PHP (Laravel / CodeIgniter preferred) for backend development.
• Proficient in creating and integrating RESTful APIs.
• Strong understanding of MySQL / PostgreSQL databases.
• Experience with version control tools (Git, GitHub, GitLab).
• Excellent debugging, analytical, and problem-solving skills.
• Ability to work collaboratively in a team environment with strong communication skills.

If interested kindly share your resume at 82008 31681

Job Description: Backend Developer – Design Qandy

Who are we?

Design Qandy delivers personalised luxury interior design to India’s discerning homeowners and corporates. Led by highly admired luxury brand builders, internationally trained designers, world-class technology professionals and curated teams of turnkey project execution specailists. We seek perfection in design and are committed to bringing back trust and excitement in the design process.

Know more about us on designqandy.com and https://instagram.com/designqandy?igshid=YmMyMTA2M2Y=

Our work culture?

We are a lean team of high performing go-getters, we take ownership in our roles and lead with knowledge. Debates and discussions are an important part of our culture and we encourage people to bring unique perspectives to their conversations. Most importantly, we love solving problems.

Each day is inspiring and we encourage you to apply for this role and experience it for yourself.

What would you be required to do?

·      Write code and tests, build prototypes, solve issues, profile, and analyze bottlenecks

·      Design performance gauging, building robust APIs to support mobile and desktop clients

·      Manage and optimize scalable distributed systems on the cloud

·      Optimization of web applications for performance and scalability

·      Develop automated tests to ensure business needs are met and allow for regression testing

·      Participate in the entire application lifecycle, focusing on coding and debugging

·      Write clean code to develop functional web applications

·      Troubleshoot and debug applications

·      Perform UI tests to optimize performance

·      Manage cutting-edge technologies to improve legacy applications

·      Collaborate with Front-end developers to integrate user-facing elements with server-side logic.

·      Gather and address technical and design requirements

·      Provide training and support to internal teams

·      Build reusable code and libraries for future use

What skills we are looking for?

·      Good communication skill to communicate with stakeholders, project managers, quality assurance teams, Regularly and other developers regarding progress on the long-term technology roadmap

·      Curious and progressive mind to Create and maintain workflows with teams to provide visibility and to ensure workload balance for consistent visual designs

·      Good technical knowledge to Produce quality code, raising the bar for the whole team on quality and speed

·      Through analytical skills to Recommend system solutions by comparing advantages and disadvantages of custom development and purchase alternatives

Skills Needed:

·      PHP Laravel Framework, PHP Design Patterns.

·      Proficient in MySQL, PostgreSQL, MongoDB

·      APIs, REST API, SOAP API, API Security, Open APIs

·      Push Notifications, Laravel Events, Queue, Observers

·      Excellent foundation in computer science, algorithms, and web design

·      Experience writing highly secure web applications

·      Experience with core AWS web-enabling technologies

·      Growth mindset, challenging status quo to find new solutions and out-of-the-box ideas

·      Experience designing RESTful APIs, specifically for mobile apps

·      Computer science degree or equivalent experience

·      Experience leading a team

·      3-6 Years’ experience in back-end development.

We are looking for Advance Java developers who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out a team and looking for multiple levels but you should have at least 6+ years of programming experience.

Key Responsibilities

• Build high availability and extreme reliable high volume transactional systems.
• Deliver reliable solutions that handle massive data and high traffic.
• Complete ownership of problem-free execution of owned modules and solutions.
• Focus on code optimization, code quality, maintainability etc.

Skills required

• Hands-on experience in Core J2EE or Core Java (collection, multithreading).
• Proficiency in Spring, Hibernate, Kafka, JDBC.
• Excellent data structure & algorithm and problem solving skills.
• Strong working knowledge of Databases – MySQL/NoSQL, OS - Windows/Linux.
• Experience and knowledge of open source tools & frameworks, broader cutting edge technologies around server side development.
• Should be an active contributor to developer communities like Stackoverflow, Topcoder, Github, Google Developer Groups (GDGs).
• Customer-focused, react well to changes, work with teams and able to multi-task.

Job Description:  

As a L3 analyst, you will play a key role within the Application Management team, leading services for its customer(s). This service has responsibility for the smooth daily operational running of the Client platform both in the cloud and on-premises. The Client application is business critical and centrally manages data for trading, settlement, risk, client and regulatory reporting systems. As a L3 analyst, you will be responsible for supporting complex infrastructure and application issues raised by L1/L2 support teams, and business analysts. You would also be working on client requests for enhancements, fixes, maintaining custom code, and following the best practices such as Agile, DevOps, etc.

The role is a technical role requiring a good technical knowledge of SQL/PLSQ, Core Java along with good debugging skill while supporting client implementations. You should have basic understanding on Unix system and commands. The ability to troubleshoot issues, assist users and help write specifications is essential. This position also works with product management to improve the software engineering processes and practices associated with continuously building, deploying, and updating software and environments.

• Accountability and primary responsibility/duties:
• A typical day would look like as follows: -
  • 40% support issues.
  • 40% configuration/development work.
  • 20% continuous improvement, automation, CICD, so on.
• Activities would range across the lifecycle from discovery to post-implementation support.
• Understanding client’s requirement, replicate the problem and providing the solution
• Understanding and developing new requirements coming in from BAs (Business Analysts) and customers.
• Update the existing functionality based on client needs.
• Develop changes that cater to enhancing the product and/or fixing production issues
• Prepare product releases of software components. (Java/SQL-PLSQL)
• Contribute in all phases of the development cycle. (development/Deployment/Testing, peer review)
• Create technical document for all changes made.

Required Qualifications/Knowledge/Skills

• Bachelor’s degree in Computer Science or related field
• Strong basics and working experience in following technologies: -
  • Core Java.
  • SQL / PLSQL coding.
  • Object Oriented Programming concepts and data structures.
• Working knowledge on Unix platform
• Working knowledge on XSLT and XML handling
• Basic understanding App & web server working knowledge (JBOSS, WebLogic and WebSphere) and debugging skills.
• Advantageous to have:
  • Working understanding on CICD, Dev-ops technologies.
  • Queuing technologies including Kafka, MQ, Solace.
  • Scripting including Python, Unix, java.
• Hands on knowledge of Dev ops processes and tools Good interpersonal and communication skills.
  
  

Backend - Software Development Engineer-III

Responsibilities:-

• Research, design and build highly reliable, available and scalable platforms
• Explore design implications and work towards an appropriate balance between functionality, performance, and maintainability.
• Lead by example, mentor and guide team members on everything from structured problem solving to development of best practices
• Own large technical deliverables and execute in an exemplary way
• Be able to conceptualize and develop prototype quickly
• Working with a cross-discipline team of Design, Product, Data Science and Analytics team.
• Active participation in the hiring process to bring quality engineers in the team.

Requirements:-

• Strong proficiency in Javascript and TypeScript
• Strong proficiency of Node.js and frameworks available for it such as Express
• Strong understanding and experience of creating highly scalable and complex database design
• Good understanding of Data Modeling using RDBMS and NoSQL(Cassandra, MongoDB, ElasticSearch, Redis) data stores
• Strong problem-solving skills with a good understanding of data structures and algorithms
• Strong understanding of front-end technologies, such as HTML5, and CSS3
• User authentication and authorization between multiple systems, servers, and environments
• Experience of creating highly scalable, fault tolerant, resilient distributed systems
• Strong knowledge of creating scalable system design and good understanding of microservice based architectures
• Understanding of caching enabled, PubSub and event driven architectures
• Hands on experience and good knowledge of AWS services
• Understanding automated testing platforms like selenium and unit tests like Chai, Mocha, Jasmine etc
• Proficient understanding of code versioning tools, such as Git
• E/B.Tech/M.E./M.Tech/M.S.
• Curiosity to explore the cutting edge technologies and bake them in the products.
• Zeal and drive to take end to end ownership.
• 5+ years of experience in back end development preferably in microservice environment.