11+ Innovation management Jobs in India
Apply to 11+ Innovation management Jobs on CutShort.io. Find your next job, effortlessly. Browse Innovation management Jobs and apply today!
This is a full-time on-site role for a Technical Project Head with Project leadership & Agile Expertise. They will be responsible for the day-to-day management of projects, ensuring that timelines are met, budgets are adhered to, and communication with stakeholders is maintained. Project Leadership: Lead and manage cross-functional teams to ensure successful development & execution & define the overall architecture and technical direction for development projects Technical Expertise: Demonstrate a deep understanding & Oversee the backend services, databases, and third-party API integration & frontend technologies/tools. And best practices to effectively guide with budgeting & providing technical support to the development team along with assisting them in making architectural decisions. Task Assignment: Define project tasks, allocate resources, and delegate responsibilities to team members while considering their strengths and expertise & assessing the feasibility of cross-platform development, and deciding when to adopt it based on project requirements. Timelines and Milestones: Develop and communicate project timelines, milestones, and deliverables, ensuring alignment with expectations and company objectives. Risk Management: Identify potential project risks, devise mitigation strategies, and proactively address issues to keep the project on track while at the same time ensuring industry-standard security practices, authentication mechanisms, data encryption, and compliance with relevant privacy regulations. Status Updates: Regularly collect updates from team members, track project progress, and provide transparent status reports to stakeholders. Problem Solving: Swiftly addresses technical challenges, conflicts, and roadblocks, making data-driven decisions to ensure project momentum. Quality Assurance: Implement quality control measures to guarantee that the final product aligns with the project scope, technical standards, and requirements. Deadline Adherence: Employ effective time management strategies to meet project deadlines and exceed expectations. Documentation: Prepare the technical documentation, flow, and execution plan of the project including specifications & architecture. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (Master's preferred). Proven experience (5+ years) as a Senior IT Project Manager leading similar successful responsibilities mentioned above. Proficiency in frontend technologies such as HTML, CSS, JavaScript, and related frameworks. Strong knowledge of backend technologies such as databases (SQL, NoSQL), server-side scripting (PHP, Node.js, Python, etc.), API integrations & development. Solid understanding of project management methodologies (Agile, Scrum, etc.). Excellent leadership, interpersonal, and team-building & management skills.
Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 1
Start: Immediate
Why this role exists
Most engineering teams choose between speed and stability.
We need both.
Today:
- Deployments carry risk
- Cloud costs are higher than they should be
- Compliance is reactive, not built-in
This role exists to build a platform where:
- We can deploy fast without breaking production
- We can scale without runaway cost
- We can pass enterprise InfoSec reviews without firefighting
What you’ll do
You will not just manage infrastructure.
You will build the platform that engineering runs on.
1. Drive cloud cost efficiency
- Reduce Azure compute spend by 40%
- Implement:
- Reserved Instances / savings plans
- Right-sizing of workloads
- Scheduling for non-critical workloads
- Continuously monitor and optimize cost vs performance
2. Build zero-downtime deployment systems
- Ship a deployment pipeline that supports:
- 5+ production deployments per week
- Zero customer-visible downtime
- Implement:
- Blue-green / canary deployments
- Automated health checks
- Safe rollout strategies
3. Enable fast and safe releases
- Reduce time-to-launch significantly
- Ensure:
- High reliability in every release
- Ability to rollback instantly if something breaks
- Create systems where:
- Scaling up is seamless when things go right
- Failures are contained when they don’t
4. Build disaster recovery and compliance readiness
- Create DR/BCP systems that pass enterprise audits from:
- HDFC Life, SBI Life
- Ensure:
- Backup and recovery processes are defined and tested
- Failover strategies are documented and executable
- Build compliance as part of the system, not an afterthought
5. Embed security into the pipeline
- Integrate:
- SAST (Static Application Security Testing)
- DAST (Dynamic Application Security Testing)
- SCA (Software Composition Analysis)
- Secret scanning
- Container scanning
- IaC scanning
- Ensure vulnerabilities are caught before deployment
6. Enforce policy-as-code
- Implement:
- OPA / Gatekeeper
- Azure Policy
- Prevent non-compliant infrastructure from being deployed
- Ensure consistency across environments
7. Build a scalable platform layer
- Create systems that:
- Support increasing deployment frequency
- Maintain reliability under scale
- Work closely with backend and SRE teams to:
- Improve system stability
- Reduce operational overhead
What success looks like
- Cloud costs reduce by ≥ 40%
- Deployments are:
- Frequent
- Safe
- Invisible to customers
- Rollbacks are instant and reliable
- DR/BCP passes enterprise audits in the first attempt
- Security is embedded in the pipeline, not patched later
- Engineering teams ship faster with confidence
Who you are
- You have 2-5 years of experience in DevOps / Platform Engineering
- You have worked with:
- Cloud platforms (Azure preferred)
- CI/CD systems
- Infrastructure as Code
- You think in:
- Systems
- Trade-offs (speed vs reliability vs cost)
- You are comfortable owning:
- Production infrastructure
- Deployment systems
What will make you stand out
- Experience with:
- High-frequency deployment systems
- Cost optimization at scale
- Security-first pipelines
- Strong understanding of:
- Kubernetes / container orchestration
- Monitoring and observability
- Distributed system reliability
- Experience passing enterprise security/compliance audits
Why join
- You will define how engineering ships and scales
- Your work directly impacts:
- Reliability
- Cost
- Deployment velocity
- You will build a platform that moves from:
- Fragile → predictable and scalable
What this role is not
- Not manual infra management
- Not reactive firefighting
- Not limited to CI/CD maintenance
What this role is
- A builder of deployment systems
- A driver of cost efficiency
- A guardian of reliability and compliance
One question to self-evaluate
Can you build a platform where we deploy faster, spend less, and never break production?

Global Digital Transformation Solutions Provider
JOB DETAILS:
* Job Title: Lead I - Azure, Terraform, GitLab CI
* Industry: Global Digital Transformation Solutions Provider
* Salary: Best in Industry
* Experience: 3-5 years
* Location: Trivandrum/Pune
Job Description
Job Title: DevOps Engineer
Experience: 4–8 Years
Location: Trivandrum & Pune
Job Type: Full-Time
Mandatory skills: Azure, Terraform, GitLab CI, Splunk
Job Description
We are looking for an experienced and driven DevOps Engineer with 4 to 8 years of experience to join our team in Trivandrum or Pune. The ideal candidate will take ownership of automating cloud infrastructure, maintaining CI/CD pipelines, and implementing monitoring solutions to support scalable and reliable software delivery in a cloud-first environment.
Key Responsibilities
- Design, manage, and automate Azure cloud infrastructure using Terraform.
- Develop scalable, reusable, and version-controlled Infrastructure as Code (IaC) modules.
- Implement monitoring and logging solutions using Splunk, Azure Monitor, and Dynatrace.
- Build and maintain secure and efficient CI/CD pipelines using GitLab CI or Harness.
- Collaborate with cross-functional teams to enable smooth deployment workflows and infrastructure updates.
- Analyze system logs, performance metrics, and s to troubleshoot and optimize performance.
- Ensure infrastructure security, compliance, and scalability best practices are followed.
Mandatory Skills
Candidates must have hands-on experience with the following technologies:
- Azure – Cloud infrastructure management and deployment
- Terraform – Infrastructure as Code for scalable provisioning
- GitLab CI – Pipeline development, automation, and integration
- Splunk – Monitoring, logging, and troubleshooting production systems
Preferred Skills
- Experience with Harness (for CI/CD)
- Familiarity with Azure Monitor and Dynatrace
- Scripting proficiency in Python, Bash, or PowerShell
- Understanding of DevOps best practices, containerization, and microservices architecture
- Exposure to Agile and collaborative development environments
Skills Summary
Azure, Terraform, GitLab CI, Splunk (Mandatory) Additional: Harness, Azure Monitor, Dynatrace, Python, Bash, PowerShell
Skills: Azure, Splunk, Terraform, Gitlab Ci
******
Notice period - 0 to 15days only
Job stability is mandatory
Location: Trivandrum/Pune

Consumer Internet, Technology & Travel and Tourism Platform
Job Details
- Job Title: Lead DevOps Engineer
- Industry: Consumer Internet, Technology & Travel and Tourism Platform
- Function - IT
- Experience Required: 7-10 years
- Employment Type: Full Time
- Job Location: Bengaluru
- CTC Range: Best in Industry
Criteria:
- Strong Lead DevOps / Infrastructure Engineer Profiles.
- Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
- Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
- Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
- Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
- Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
- Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
- Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
- Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
- (Company) – Must be from B2C Product Companies only.
- (Education) – B.E/ B.Tech
Preferred
- Experience working in microservices architecture and event-driven systems.
- Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
- (Skills) – Understanding of programming languages such as Go, Python, or Java.
- (Environment) – Experience working in high-growth startup or large-scale production environments.
Job Description
As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
- Codify our infrastructure
- Do what it takes to keep the uptime above 99.99%
- Understand the bigger picture and sail through the ambiguities
- Scale technology considering cost and observability and manage end-to-end processes
- Understand DevOps philosophy and evangelize the principles across the organization
- Strong communication and collaboration skills to break down the silos
Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)
Location: Pune – Onsite
About Us:
We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!
Role Overview:
We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.
Key Responsibilities:
- Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
- Collaborate with data scientists and engineers to build scalable AI-driven solutions.
- Analyze large volumes of data to extract meaningful insights and improve ad performance.
- Develop and deploy machine learning pipelines for automated decision-making.
- Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
- Optimize existing models for speed, scalability, and accuracy.
- Work closely with product managers to align AI solutions with business goals.
Requirements:
- Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
- Strong programming skills in Python, R, or similar languages.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Expertise in data processing and real-time analytics.
- Strong understanding of digital advertising, programmatic platforms, and ad server technology.
- Excellent problem-solving and analytical skills.
- Immediate joiners preferred.
Preferred Skills:
- Knowledge of big data technologies like Spark, Hadoop, or Kafka.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with MLOps practices and tools.
How to Apply:
If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.
Join us in building the future of AI-driven digital advertising!
Lead DevSecOps Engineer
Location: Pune, India (In-office) | Experience: 3–5 years | Type: Full-time
Apply here → https://lnk.ink/CLqe2
About FlytBase:
FlytBase is a Physical AI platform powering autonomous drones and robots across industrial sites. Our software enables 24/7 operations in critical infrastructure like solar farms, ports, oil refineries, and more.
We're building intelligent autonomy — not just automation — and security is core to that vision.
What You’ll Own
You’ll be leading and building the backbone of our AI-native drone orchestration platform — used by global industrial giants for autonomous operations.
Expect to:
- Design and manage multi-region, multi-cloud infrastructure (AWS, Kubernetes, Terraform, Docker)
- Own infrastructure provisioning through GitOps, Ansible, Helm, and IaC
- Set up observability stacks (Prometheus, Grafana) and write custom alerting rules
- Build for Zero Trust security — logs, secrets, audits, access policies
- Lead incident response, postmortems, and playbooks to reduce MTTR
- Automate and secure CI/CD pipelines with SAST, DAST, image hardening
- Script your way out of toil using Python, Bash, or LLM-based agents
- Work alongside dev, platform, and product teams to ship secure, scalable systems
What We’re Looking For:
You’ve probably done a lot of this already:
- 3–5+ years in DevOps / DevSecOps for high-availability SaaS or product infra
- Hands-on with Kubernetes, Terraform, Docker, and cloud-native tooling
- Strong in Linux internals, OS hardening, and network security
- Built and owned CI/CD pipelines, IaC, and automated releases
- Written scripts (Python/Bash) that saved your team hours
- Familiar with SOC 2, ISO 27001, threat detection, and compliance work
Bonus if you’ve:
- Played with LLMs or AI agents to streamline ops and Built bots that monitor, patch, or auto-deploy.
What It Means to Be a Flyter
- AI-native instincts: You don’t just use AI — you think in it. Your terminal window has a co-pilot.
- Ownership without oversight: You own outcomes, not tasks. No one micromanages you here.
- Joy in complexity: Security + infra + scale = your happy place.
- Radical candor: You give and receive sharp feedback early — and grow faster because of it.
- Loops over lines: we prioritize continuous feedback, iteration, and learning over one-way execution or rigid, linear planning.
- H3: Happy. Healthy. High-Performing. We believe long-term performance stems from an environment where you feel emotionally fulfilled, physically well, and deeply motivated.
- Systems > Heroics: We value well-designed, repeatable systems over last-minute firefighting or one-off effort.
Perks:
▪ Unlimited leave & flexible hours
▪ Top-tier health coverage
▪ Budget for AI tools, courses
▪ International deployments
▪ ESOPs and high-agency team culture
Apply Here- https://lnk.ink/CLqe2
Key Responsibilities:-
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog
Contract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)
• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
•




