11+ QNX Jobs in Bangalore (Bengaluru) | QNX Job openings in Bangalore (Bengaluru)
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C++
PythonJob Role: Adaptive Autosar + Bootloader Developer
Mandatory Skills:
- Adaptive Autosar Development
- Bootloader Experience
- C++ Programming
- Hands-on experience with ISO 14229 (UDS Protocol)
- Experience in Flash Bootloader and Software Update topics
- Proficient in C++ and Python programming
- Application development experience in Service-Oriented Architectures
- Hands-on experience with QNX and Linux operating systems
- Familiarity with software development tools like CAN Analyzer, CANoe, and Debugger
- Strong problem-solving skills and the ability to work independently
- Exposure to the ASPICE Process is an advantage
- Excellent analytical and communication skills
Job Responsibilities:
- Engage in tasks related to the integration and development of Flash Bootloader (FBL) features and perform comprehensive testing activities.
- Collaborate continuously with counterparts in Germany to understand requirements and develop FBL features effectively.
- Create test specifications and meticulously document testing results.
Why Join InfoGrowth?
- Become part of an innovative team focused on transforming the automotive industry with cutting-edge technology.
- Work on exciting projects that challenge your skills and promote professional growth.
- Enjoy a collaborative environment that values teamwork and creativity.
🔗 Apply Now to shape the future of automotive technology with InfoGrowth!
We are seeking an experienced Senior Systems Operations Engineer with 6+ years of experience in Application Production Support, Systems Operations, and Incident Management. The ideal candidate will be responsible for maintaining the stability, availability, and performance of production applications and infrastructure while ensuring adherence to ITIL processes and operational excellence.
The candidate should possess strong expertise in Linux/Unix administration, SQL/Oracle Database support, Production Issue Analysis, Incident & Change Management, and monitoring tools such as Splunk, Grafana, and AppDynamics. The role requires excellent troubleshooting skills, stakeholder communication, and the ability to lead critical incident resolution activities in a 16X7 production environment.
Key Responsibilities:
• Provide advanced production support for critical business applications, ensuring high availability and performance.
• Lead incident and change management processes, including root cause analysis and resolution of production issues.
• Monitor application health using tools such as SPLUNK, Grafana, and AppDynamics.
• Collaborate with development, infrastructure, and business teams to drive continuous improvement in system operations.
• Maintain and optimize Linux/Unix environments and SQL/Oracle databases.
• Document operational procedures, troubleshooting steps, and best practices.
Required Skills:
• Strong experience with Linux/Unix system administration.
• Advanced proficiency in SQL and Oracle database management.
• Expertise in incident and change management within enterprise environments.
• Proven ability to analyse and resolve production issues efficiently.
• Hands-on experience with monitoring and alerting tools: SPLUNK, Grafana, AppDynamics.
• Excellent communication and collaboration skills.
• Experience with cloud platforms (AWS, Azure, GCP)
Desired Candidate Profile
• 6+ years of experience in Application Production Support and Systems Operations.
• Proven experience managing mission-critical production environments.
• Strong expertise in Linux/Unix, SQL, Oracle Database, and monitoring tools.
• Demonstrated success in incident resolution, RCA preparation, and service improvement initiatives.
• Ability to work effectively in a fast-paced 16x7 production support environment.
• Exposure to AI tools and implementation as well
Amazon Web Services (AWS)Python
NodeJS (Node.js)Hiring for AWS Cloud & Data Platform Engineer
Edu : BE/B.Tech
Exp: 4 - 9 yrs
Work Location : Bengaluru WFO
Notice Period : Immediate
Skills :
1. AWS Serverless Stack (hands-on) — Lambda, API Gateway, EventBridge, SNS/SQS. This is the core of the role. Must show actual build experience in project descriptions, not just "AWS" listed as a skill.
2. Infrastructure-as-Code ownership — Terraform or AWS CDK. Candidate must have personally written and deployed IaC, not just worked inside infra someone else provisioned.
3. Python or Node.js for Lambda development — Needs to be evident at the project level (what they actually built), not just listed as a language proficiency.
4. Cloud-native ETL/data pipeline experience — Specifically Lambda + Glue-based pipelines and event-driven ingestion. Traditional ETL tool backgrounds (Informatica, SSIS, Talend) don't count as equivalent here.
5. CI/CD experience with GitHub Actions, CodePipeline, or similar tools
Python- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
Consumer Internet, Technology & Travel and Tourism Platform
Kubernetes
DockerJob Details
- Job Title: Senior DevOps Engineer
- Industry: Consumer Internet, Technology & Travel and Tourism Platform
- Function - IT
- Experience Required: 4-7 years
- Employment Type: Full Time
- Job Location: Bengaluru
- CTC Range: Best in Industry
Criteria:
- Strong DevOps / Infrastructure Engineer Profiles.
- Must have 4+ years of hands-on experience working as a DevOps Engineer / Infrastructure Engineer / SRE / DevOps Consultant.
- Must have hands-on experience with Kubernetes and Docker, including deployment, scaling, or containerized application management.
- Must have experience with Infrastructure as Code (IaC) or configuration management tools such as Terraform, Ansible, Chef, or Puppet.
- Must have strong automation and scripting experience using Python, Go, Bash, Shell, or similar scripting languages.
- Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Kafka.
- Candidate must demonstrate strong expertise in at least one of the following areas - Databases / Distributed Data Systems, Observability & Monitoring, CI/CD Pipelines. Networking Concepts, Kubernetes / Container Platforms
- Candidates must be from B2C Product-based companies only.
- (Education) – BE / B.Tech or equivalent
Preferred
- Experience working with microservices or event-driven architectures.
- Exposure to cloud infrastructure, monitoring, reliability, and scalability practices.
- (Skills) – Understanding of programming languages such as Go, Python, or Java.
- Preferred (Environment) – Experience working in high-scale production or fast-growing product startups.
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
KubernetesDockerAmazon Web Services (AWS)The DevOps Engineer's core responsibilities include automated configuration and management
of infrastructure, continuous integration and delivery of distributed systems at scale in a Hybrid
environment.
Must-Have:
● You have 4-10 years of experience in DevOps
● You have experience in managing IT infrastructure at scale
● You have experience in automation of deployment of distributed systems and in
infrastructure provisioning at scale.
● You have in-depth hands-on experience on Linux and Linux-based systems, Linux
scripting
● You have experience in Server hardware, Networking, firewalls
● You have experience in source code management, configuration management,
continuous integration, continuous testing, continuous monitoring
● You have experience with CI/CD and related tools
* You have experience with Monitoring tools like ELK, Grafana, Prometheus
● You have experience with containerization, container orchestration, management
● Have a penchant for solving complex and interesting problems.
● Worked in startup-like environments with high levels of ownership and commitment.
● BTech, MTech or Ph.D. in Computer Science or related Technical Discipline
KubernetesDocker- Work towards improving the following 4 verticals - scalability, availability, security, and cost, for company's workflows and products.
- Help in provisioning, managing, optimizing cloud infrastructure in AWS (IAM, EC2, RDS, CloudFront, S3, ECS, Lambda, ELK etc.)
- Work with the development teams to design scalable, robust systems using cloud architecture for both 0-to-1 and 1-to-100 products.
- Drive technical initiatives and architectural service improvements.
- Be able to predict problems and implement solutions that detect and prevent outages.
- Mentor/manage a team of engineers.
- Design solutions with failure scenarios in mind to ensure reliability.
- Document rigorously to keep track of all changes/upgrades to the infrastructure and as well share knowledge with the rest of the team
- Identify vulnerabilities during development with actionable information to empower developers to remediate vulnerabilities
- Automate the build and testing processes to consistently integrate code
- Manage changes to documents, software, images, large web sites, and other collections of code, configuration, and metadata among disparate teams
Kubernetes
JenkinsDocker- Mandatory: Docker, AWS, Linux, Kubernete or ECS
- Prior experience provisioning and spinning up AWS Clusters / Kubernetes
- Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
- Experience supporting a managed cloud services infrastructure
- Ability to maintain, monitor and optimise production database servers
- Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
- Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
- Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
- In-depth knowledge on Linux Environment.
- Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
- Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
- Experience in handling large production deployments and infrastructure.
- DevOps based infrastructure and application deployments experience.
- Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
- Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
- He/she should be able to validate that the environment meets all security and compliance controls.
- Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
- Proven written and verbal communication skills.
- Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
- Previous NOC experience.
- Client Facing Experience with excellent Customer Communication and Documentation Skills
KubernetesPythonDockerSkill: Python, Docker or Ansible , AWS
➢ Experience Building a multi-region highly available auto-scaling infrastructure that optimizes
performance and cost. plan for future infrastructure as well as Maintain & optimize existing
infrastructure.
➢ Conceptualize, architect and build automated deployment pipelines in a CI/CD environment like
Jenkins.
➢ Conceptualize, architect and build a containerized infrastructure using Docker,Mesosphere or
similar SaaS platforms.
Work with developers to institute systems, policies and workflows which allow for rollback of
deployments Triage release of applications to production environment on a daily basis.
➢ Interface with developers and triage SQL queries that need to be executed inproduction
environments.
➢ Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
➢ Assist the developers and on calls for other teams with post mortem, follow up and review of
issues affecting production availability.
➢ Establishing and enforcing systems monitoring tools and standards
➢ Establishing and enforcing Risk Assessment policies and standards
➢ Establishing and enforcing Escalation policies and standards
Amazon Web Services (AWS)Python
Python
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