Analytics Data Engineer

Job Title : Flutter Dart Developer (Backend Heavy - Node.js)

Experience Required : 5+ Years

Location : Bellandur & Manthali, Bangalore – Onsite Only

Type : Contractual

About the Role :

We are looking for an experienced Flutter Dart Developer with a backend-heavy architecture (Node.js) to join our team on a contractual basis.

This role goes beyond basic UI development — we need someone who understands the complexities of security, caching, APIs, SQL, server-side rendering, performance tuning, and scalable backend architecture.

Mandatory Skills : Flutter, Dart, Backend-heavy architecture (Nodejs), RESTful APIs, SQL, Caching, Firebase, State Management (Bloc/Provider/Riverpod), Performance Tuning, Git, Mobile Deployment (iOS & Android), Agile

Key Responsibilities :

• Develop high-performance cross-platform apps using Flutter & Dart.
• Translate complex UI/UX into responsive mobile experiences.
• Collaborate with product, design, and backend (Node.js) teams to deliver scalable features.
• Implement caching, security, SQL, and performance optimization strategies.
• Integrate RESTful APIs, Firebase, and third-party libraries.
• Conduct code reviews and support junior developers.
• Stay updated on emerging mobile/backend technologies.

Required Skills & Qualifications :

• 5+ Years in Mobile Development, 3+ Years with Flutter & Dart.
• Strong knowledge of state management (Bloc, Provider, Riverpod).
• Hands-on experience in Node.js for backend development.
• Expertise in API design, SQL, caching, offline storage, security, and performance tuning.
• Experience with Firebase, push notifications, and app deployment on iOS & Android.
• Familiarity with native mobile development (Kotlin/Java or Swift/Obj-C) is a plus.
• Proficient in Git and Agile methodologies with excellent problem-solving skills.

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.

What does a successful Senior DevOps Engineer do at Fiserv?

This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.

What will you do:

• Build, manage, and deploy CI/CD pipelines.

• DevOps Engineer - Helm Chart, Rundesk, Openshift

• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.

• Implementing various development, testing, automation tools, and IT infrastructure

• Optimize and automate release/development cycles and processes.

• Be part of and help promote our DevOps culture.

• Identify and implement continuous improvements to the development practice

What you must have:

• 3+ years of experience in devops with hands-on experience in the following:

- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks

- Building docker images and running/managing docker instances

- Building Jenkins pipelines using groovy scripts

- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes

• Has good understanding on infrastructure as code

• Ability to write and update documentation

• Demonstrate a logical, process orientated approach to problems and troubleshooting

• Ability to collaborate with multi development teams

What you are preferred to have:

• 8+ years of development experience

• Jenkins administration experience

• Hands-on experience in building and deploying helm charts

Process Skills:

• Should have worked in Agile Project

Position: Java Automation Engineer

Location: Chennai/Bangalore/Hyderabad/Pune

Type: Hybrid (3 days office and 2 days home)

Mode of Hire: Fulltime

Notice: Immediate to 15 Days

Job Description:

Must Have:

• 7+ years of experience in Automation Testing
• 5+ years' experience in Selenium, Cucumber, TestNG
• 3+ years hands-on in Core Java
• 3+ years' API Automation Testing
• 3+ years' experience writing complex SQL queries.
• Extensive experience in testing Webservices both SOAP and REST
• Individual should be open to learn new technology as needed and should work independently.

Good to Have:

• Experience working with Unix systems.
• Good understanding of Agile process & Jira tool
• Good working understanding of Kubernetes/Docker
• Telecom/Cable Domain background and testing experience on IVR would be beneficial.
• Katalon platform experience
• Telecom domain, Telecom networks

Greetings From Softobiz Technologies!!

Softobiz Technologies is a leading organization among the IT organizations supplying its products along with the services in the form of Product development and Web-Application development.

We are looking for people who have experience in Python and react.js.

Location - Hyderabad

Years – 3+ Years

Primary Purpose:

The Senior Software Engineer role is responsible for ensuring continuous innovation and developing high-quality software aligned with user needs and business goals.  This role will work as an integral part of creative and motivated teams to ensure high-quality benchmarks are met for deliveries of innovative products for local and international markets. Working closely with other stakeholders requires the ability to design, develop, and implement creative solutions with Modern architecture and design patterns. . Thinking outside the box with the capability to learn upcoming technologies in the integration space, the role requires contributing proactively to business-aligned digital initiatives. A detailed understanding of modern SDLC frameworks is required, as is the ability to work in an Agile environment.

Job Responsibilities:

• Lead projects in your respective squad, guide and mentor the team as required. 
• Provide thought leadership in the architecture and design of Digital products. 
• Provide technical leadership, mentoring, and coaching of developers. 
• Contribute to the implementation and delivery of Digital products. 
• Promote and experiment with new technologies that will help improve the quality and delivery of Digital Products. 
• Perform software engineering tasks to ensure the highest levels of product quality are met. 
• Analyze system and production defects, including troubleshooting and root cause analysis. 
• Learn from industry specialists and apply best practices to match our customer needs further. 
• Keep up to date with technical trends, tools, and methodologies, and research as required.

Experience and Skills: 

• 3+ years of relevant experience; 
• Solid experience working in complex and innovative R&D development environments; 
• Experience working in Agile process and result-oriented culture; 
• Solid experience with multiple programming languages, including Python, JavaScript, Typescript, ReactJs/AngularJs/Vue.Js. 
• Demonstrable robust Architecture, design, development, and collaboration skills gained in developing software product solutions; 
• Hands-on experience with developing and implementing integrations; 
• Experience with developing enterprise grade complex software applications.

Technical Skills 

• Python frameworks Django/Flask/Fast API
• Solid OOP skill in PHP, with S.O.L.I.D principle in mind. 
• Experience in react.js
• Experience with test driven development. 
• Comfortable with GIT version control systems; 
• Normalized SQL database design, strong experience in MySQL 
• Knowledge of building and consuming REST API 
• Good to have experience with AWS Stack (Lambda, SQS, SNS, API Gateway, etc.)

Bonus Technical Skills: 

• Some knowledge or experience in Kubernetes is a bonus
• Experience with Microservices architecture 

About Softobiz 

Innovation begins with like-minded people aiming to transform the world together.

We invite you to join an organization that has been helping clients transform their businesses by fusing insights, creativity, and technology. At Softobiz, we embrace a diverse mix of talented people who come here to stay and do their best work.

At Softobiz, we transform passionate individuals into proficient professionals dedicated to exploring new frontiers in Software development. Here you will get the opportunity to work with technical craftsmen that are pioneers in the latest technologies.

We promote a culture of equality, learning, collaboration, and creative freedom so that our employees grow.

For more information about our solutions and organization, visit www.softobiz.com, 

Follow us on LinkedIn, Twitter, and Facebook for more updates.

In a mobile-first world, there is always an inevitable risk posed by cyber security concerns, which is addressed by our client through API-based solutions. They focus on securing mobile-first enterprises against new age cyber fraud. Their aim is to reduce risk and accelerate the growth of all mobile transactions.

• Planning and prioritizing different aspects of the end-consumer problems as a part of the design process
• Carrying out extensive user research, devising user journeys and understanding customer requirements with a first-principles approach
• Interacting and working closely with stakeholders across Product, Engineering and Marketing
• Effective communication with Front-end engineering on ensuring the last mile correctness of implementation
• Building and maintaining the design system and devising more components in alignment with the same
• Brainstorming ideas on the new age E-Commerce SaaS products and evangelising the design-thinking process inside and outside the organisation

Desired Candidate Profile

• Minimum 1 year of experience working on UX challenges on digital products
• Ability to understand fundamental goals of business both in short and long term aspects
• Appreciate behavioural analytics principles and emphasis on data-driven decision-making
• Excellent communication skills and the ability to articulate design decisions to the team and leadership
• Ability to collaborate with cross-functional teams to define, design and ship new features

Responsibilities:

• The candidate will get an opportunity to work on AI/ML technologies using NodeJS for web applications.
• Deliver high-quality code in a fast-paced customer-facing product.
• Specify, design, and implement the functionality and behaviors of the web infrastructure.
• Be involved in the full life-cycle of development from concept through integration, test, and high web traffic deployments.
• Interface with the firmware team as well as clients and end-users of the products.
• API development using REST JSON/XML, and security standards like OAuth.

Requirements:

• BTech or MTech in Computer Engineering, Computer Science, or other similar majors.
• Experience building products with full-stack technologies, and an excellent understanding of computer science fundamentals, data structures, and algorithms.
• Must have experience in version control systems like GIT.
• Strong in NodeJS, MySQL, MongoDB, Kafka, Elasticsearch.