
Role: Teamcenter Lead Developer
Experience: 6+yrs
Location: Bangalore/Hyderabad/Pune/Chennai
Notice Period: Immediate and 15 days only or max Upto 30 days
Key Responsibilities
- Core PLM Support & Expertise
- Manage and support key Teamcenter functionalities including:
- Parts & Components Management
- CAD Data Management & Integration
- BOM Management
- Change Management
- Supplier Collaboration
- Enterprise Data Integration
- Configuration & Customization
- Configure and customize Teamcenter modules to meet evolving business requirements
- Ensure alignment with PLM industry best practices and internal process standards
- Troubleshooting & End-User Support
- Investigate, diagnose, and resolve Teamcenter-related issues
- Deliver Tier 2/3 application support and guidance to end-users and business stakeholders
- Maintain system uptime and performance, ensuring minimal business disruption
- Code Implementation
- Develop and maintain clean, efficient code using Teamcenter-specific technologies such as:
- Java, C++, ITK (Integration Toolkit), SOA frameworks
- Support enhancements and new functionality development
- System Integration
- Collaborate with IT and engineering teams to integrate Teamcenter with ERP, CAD, and other enterprise platforms
- Enable seamless data flow and automation across interconnected systems
- Solution Development
- Design and deliver custom solutions within the Teamcenter platform, including:
- Workflows, UI modifications, reports, and extension modules
- Support ongoing innovation and platform optimization
Qualifications
- Bachelor’s degree in computer science, Engineering, or related technical field preferred
- 6+ years of experience supporting and developing within the Teamcenter PLM ecosystem
- Strong hands-on experience with Java, C++, ITK, and SOA for Teamcenter development
- Solid understanding of PLM best practices and enterprise system integration
- Proven problem-solving skills and the ability to manage technical escalations
Nice to Have
- Experience working in a global engineering or manufacturing environment
- Familiarity with Agile methodologies and DevOps principles
- Knowledge of enterprise systems like SAP, Oracle, or other major ERP platforms

About kbstechsolutions
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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.
Role: Sr. Java Developer
Exp: 5-7 Years
CTC: up to 30 LPA
Location: Bangalore
Roles and Responsibilities:
- Requirement Analysis, Design and develop, build and maintain modular widgets, custom
- interfaces and middleware components using technologies mentioned.
- Only candidates with motivation to do hands on development and troubleshooting, are
- Willing to help team members when they are stuck, and are willing to work for a technology oriented firm should apply.
- Candidates with experience in technologies like J2EE, spring, Hibernate and java related technologies should apply.
- Ability to design and code using open-source technologies and frameworks.
Looking candidates from Banking or Payment Domain
Responsibilities of a Senior Software Engineer (Backend):
- You will be a guide in the entire application lifecycle including research, design, development, testing (dev owns quality), along with continuous deployment and delivery
- Lead design with a major focus on best user experience, performance, scalability and future expansion
- You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills to bring in continuous improvements and implement best practices.
- You will apply the latest technology thinking from our tech radar, adopt best design practices to solve complex problems and ensure our product is the best in usability.
- You will work directly with the CEO and the cross functional product teams, align on the needs of the products and operations.
- You will analyze business, technology challenges and suggest solutions
- Build an “Awesome” team
This opportunity is for you if,
- You have 4-6 Years of work experience in building highly-interactive applications using Java, Spring MVC, Spring JMS, Spring JDBC, Spring IOC, Spring Boot, MySQL, MiBatis, ReactJS, Java Script, jQuery, AWS, JMS and have knowledge on wide range of web technologies, tools and Frameworks.
- You have experience in working with Restful webservices
- You have strong knowledge and understanding of design patterns and domain driven design
- You understand fundamental design principles behind building scalable, resilient, and maintainable applications
- You have functional knowledge of inclusive design: accessibility, and related tooling
- You have consumer web development experience for high-traffic, public facing web applications
- You have knack for writing clean, readable, re-usable code
- You have good knowledge on TDD and CI/CD practices.
- You have experience in managing and publishing releases using Git branching and tools like NPM and YARN.
- You have penchant for learning
- You are a great analytical & logical thinker and someone who loves solving problems
- You are passionate, energetic, enthusiastic and a go-getter
- You are “ FUN @ Work “
Technical skills required:
Skills: Java 8 and above, Rest Web services, MySQL.
Strong background in Core Java and good knowledge of collection Framework.
Proficient in developing high-performance, less memory-intensive micro-services applications using the Java framework.
Should have deep knowledge of Micro-service development.
Work as a member of a team responsible for developing a HIPAA compliant secure care coordination platform in accordance with established processes. You will apply your knowledge of building scalable, distributed applications and have the opportunity to work with new technologies & frameworks such as Spring Cloud Netflix, AWS, Azure, NoSQL DB.
Essential Functions include but are not limited to the following.
You will be expected to:
- Contribute to all phases in the software lifecycle – requirements analysis, solution design, development, and deployment
- Maintain high quality standards for the work undertaken and be responsible for the quality of deliverables
- Ensure assigned projects are developed in accordance with established engineering processes, adhering to scope, schedule constraints and agile project plans
- Guide/mentor the less experienced team members
- Participate in code reviews
- Work effectively as part of a distributed team
- Document the features worked by him/her
Key technical expertise areas expected for this role:
Strong programming skills in Java 8(+) with clear understanding of Object-Oriented and Functional programming.
- Experience on REST API Programming based on a Microservices Architecture
- Good Understanding of Databases (MySQL & Mongo) and proficiency in database schema designing & writing efficient SQL Queries
- Strong troubleshooting skills
- Demonstrable ability to learn new programming languages and frameworks quickly
- Experience with distributed systems with specific focus on security and scalability
- Experience with modern cloud technologies such as AWS or Azure
Additional areas that would add value:
- Spring Cloud
- Experience working with AES 256 based encryption algorithms
- Strong understanding of Design Patterns & their application in system design
- Using DevOps & Infrastructure tooling such as GoCD/Jenkins, Git
- Experience working on projects, preferably in the healthcare domain
- Experience working with Virtualization and Containerization technologies including Docker, Kubernetes.
- Automated Unit/Integration testing
- Experience working with Linux and Shell scripting
- Frontend web development with JavaScript frameworks like AngularJS
- Test Driven & Behavior Driven Development
- Experience working in Agile Scrum/Kanban methodologies
Education and Experience:
- Bachelors or Master’s in Computer Science or related fields.
- 5+ years of experience
* You are a Coder, a Doer. YOU BELIEVE in actions ( *In short - You are less about Gyan and more about Samadhan* )
* YOU BELIEVE in software delivery with quality
* If you are passionate about technology, engineering best practices and using them to solve real and complex business problems.
* Badly written code or bad architecture irritates you the most.
* YOU BELIEVE in "Proof of the pudding is in the eating" so you are always tinkering and exploring new technologies
* YOU BELIEVE in building things the right way, invest in developer productivity and follow proven engineering practices to ensure that you spend the maximum amount of time working on problems that matter.
* Since work is a big part of your life, YOU BELIEVE in sharing knowledge and of course have fun in the process (company outings, team sports, lunches, etc)
You'll be expected to
1. Design highly scalable, testable code and follow Test Driven Development methodology - Able to write well organised, modularised code with test cases.
* Apart from writing code *
1. Take ownership of new products/features.
2. Contribute to the design and architecture of our backend APIs and deployment of microservices
3. Ensure adherence to engineering best practices and maintain the overall quality of our codebase.
4. Mentor and assist younger members of the team and perform code reviews.
5. Work with the product team to translate powerful ideas into everyday business value.
Qualifications
* Will prefer a Bachelor's degree or equivalent experience in Computer Science or related field
* Development experience with Java is a must; If you know Python and Go Programming Language that's great
* Experience in SQL and NoSQL databases with an insight into various data modelling use cases
* Sound with data structures and algorithms and have a good understanding of design patterns, software architectures
* Unquenching thirst to learn new technologies.
* Experience with CI/CD is a plus
What FreightFox gives you
- A high energy environment where you’ll be working alongside people who want to bring innovative tech solutions in the Indian landscape. Make in India for India.
- A chance to become a part of the early team of a budding start-up and help shape its growth path.
- Competitive Package
- Stocks - Be part of the early-stage startup and they benefit financially from the company’s growth
About FreightFox
We are a young and ambitious technology start-up in the Indian B2B Logistics space. Our aim is to change the future of freight in India by leveraging tech and data to deliver new and exciting possibilities in this space.
We’ve cautiously cultivated an environment where customers come first, where we validate our hypothesis first before writing even a single line of code, where our customers and prospects are our best advisors and where we truly believe that insights from data are critical to steering a business in the right direction.
We have raised $300K seed fund from Angel Investors in Dec 2020
• Build data pipelines for structured/unstructured, real-time/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing using Java / Python
• Design the Data stores for Big Data systems with expertise in Cassandra, HBase
• Implementation of Indexing and Search using Elasticsearch
• Setup and Deployment of Cassandra, Elasticsearch clusters
Required Qualifications and Competencies:
• Strong hands-on experience with Cassandra, data modeling, data replication, clustering, indexing for handling for large data sets
• Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics
• Strong understanding of CQL, Data Modeling in-order to achieve highly performant data access
• Strong experience in data modeling in Cassandra to design efficient storage model to meet variety of business needs
• Should have Elasticsearch skill with significant experience working with large Elasticsearch clusters, cluster performance optimisation, capacity planning, enhancing monitoring capabilities for early issue detection, driving operational readiness and ongoing maintenance
• Strong hands-on experience of programming with Java / Python
• Ability to troubleshoot and investigate stability, performance issues
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.
Job Description:
Requirements:
- BS in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or a closely related computer technical field with 3+ years experience programming with at least one of the following languages:Java, C++, C#, Python, Go, or Perl;
OR
- MS in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or a closely related computer technical field 2+ years experience programming with at least one of the following languages: Java, C++, C#, Python, Go, or Perl.
ALSO
- Minimum 3 years of experience building applications using at least one of the following: web application technologies including: HTML, CSS, or Javascript; OR Databases, for example: Mysql, Mongo, ora similar program; OR a collection of systems connected and communicating via a network connection
- Minimum 1 year of experience mentoring more junior Engineers
- Significant experience with large scale, high-performance systems








