
DevOps Lead Engineer
We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.
Essential Requirements (must have):
• Bachelor's degree preferable in Engineering.
• Solid 5+ experience with AWS, DevOps, and related technologies
Skills Required:
Cloud Performance Engineering
• Performance scaling in a Micro-Services environment
• Horizontal scaling architecture
• Containerization (such as Dockers) & Deployment
• Container Orchestration (such as Kubernetes) & Scaling
DevOps Automation
• End to end release automation.
• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.
• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.
• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.
• Strong scripting knowledge
• Strong analytical and problem-solving skills.
• Cloud and On-prem deployments
Infrastructure Design & Provisioning
• Infra provisioning.
• Infrastructure Sizing
• Infra Cost Optimization
• Infra security
• Infra monitoring & site reliability.
Job Responsibilities:
• Responsible for creating software deployment strategies that are essential for the successful
deployment of software in the work environment and provide stable environment for delivery of
quality.
• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing
automation systems that help to execute business web and data infrastructure platforms.
• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,
and maintaining configuration management.
• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are
accountable for conducting training sessions for the juniors in the team, mentoring, career
support. They are also answerable for the architecture and technical leadership of the complete
DevOps infrastructure.

About NovacisDigital
About
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Key Skills Required:
· You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services.
· You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers.
· You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.
· You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application
To be the right fit, you'll need:
· Expert in Cloud Services like AWS.
· Experience in Terraform Scripting.
· Experience in container technology like Docker and orchestration like Kubernetes.
· Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.
· Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)
tools, build pile lines, deployment and production support.
• Maintaining mission critical day-to-day operations of the production processing platform and internal company resources.
• shall have sound and working knowledge of various devops tools like git, gitlab, jUnit, sonarqube, Jenkins, nagios etc.
• Shall have working knowledge of mentioned devOps tools.
• Analysing, executing and streamlining devops tools and practices.
• Automating processes with rights tools.
• Facilitating development process & operations.
• Establishing suitable devops channel across the organization.
• Setting up CI-CD to speed up software development and deployment process.
• Monitoring, reviewing and managing technical operations.
Position: SDE-1 DevSecOps
Location: Pune, India
Experience Required: 0+ Years
We are looking for a DevSecOps engineer to contribute to product development, mentor team members, and devise creative solutions for customer needs. We value effective communication in person, in documentation, and in code. Ideal candidates thrive in small, collaborative teams, love making an impact, and take pride in their work with a product-focused, self-driven approach. If you're passionate about integrating security and deployment seamlessly into the development process, we want you on our team.
About FlytBase
FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments all across the globe and has the largest network of partners in 50+ countries.
The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics.
The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase continues to win awards globally - FlytBase was the Global Grand Champion at the ‘NTT Data Open Innovation Contest’ held in Tokyo, Japan, and was the recipient of ‘ TiE50 Award’ at TiE Silicon Valley.
Role and Responsibilities:
- Participate in the creation and maintenance of CI/CD solutions and pipelines.
- Leverage Linux and shell scripting for automating security and system updates, and design secure architectures using AWS services (VPC, EC2, S3, IAM, EKS/Kubernetes) to enhance application deployment and management.
- Build and maintain secure Docker containers, manage orchestration using Kubernetes, and automate configuration management with tools like Ansible and Chef, ensuring compliance with security standards.
- Implement and manage infrastructure using Terraform, aligning with security and compliance requirements, and set up Dynatrace for advanced monitoring, alerting, and visualization of security metrics. Develop Terraform scripts to automate and optimize infrastructure provisioning and management tasks.
- Utilize Git for secure source code management and integrate continuous security practices into CI/CD pipelines, applying vulnerability scanning and automated security testing tools.
- Contribute to security assessments, including vulnerability and penetration testing, NIST, CIS AWS, NIS2 etc.
- Implement and oversee compliance processes for SOC II, ISO27001, and GDPR.
- Stay updated on cybersecurity trends and best practices, including knowledge of SAST and DAST tools, OWASP Top10.
- Automate routine tasks and create tools to improve team efficiency and system robustness.
- Contribute to disaster recovery plans and ensure robust backup systems are in place.
- Develop and enforce security policies and respond effectively to security incidents.
- Manage incident response protocols, including on-call rotations and strategic planning.
- Conduct post-incident reviews to prevent recurrence and refine the system reliability framework.
- Implementing Service Level Indicators (SLIs) and maintaining Service Level Objectives (SLOs) and Service Level Agreements (SLAs) to ensure high standards of service delivery and reliability.
Best suited for candidates who: (Skills/Experience)
- Up to 4 years of experience in a related field, with a strong emphasis on learning and execution.
- Background in IT or computer science.
- Familiarity with CI/CD tools, cloud platforms (AWS, Azure, or GCP), and programming languages like Python, JavaScript, or Ruby.
- Solid understanding of network layers and TCP/IP protocols.
- In-depth understanding of operating systems, networking, and cloud services.
- Strong problem-solving skills with a 'hacker' mindset.
- Knowledge of security principles, threat modeling, risk assessment, and vulnerability management is a plus.
- Relevant certifications (e.g., CISSP, GWAPT, OSCP) are a plus.
Compensation:
This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.
Perks:
- Fast-paced Startup culture
- Hacker mode environment
- Enthusiastic and approachable team
- Professional autonomy
- Company-wide sense of purpose
- Flexible work hours
- Informal dress code
2. Kubernetes Engineer
DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.
At Least 4 Years of experience in DevOps with knowledge of:
- Docker
- Docker Cloud / Containerization
- DevOps Best Practices
- Distributed Applications
- Deployment Architecture
- Atleast AWS Experience
- Exposure to Kubernetes / Serverless Architecture
Skills:
- 3-7+ years of experience in DevOps Engineering
- Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
- Experience with Docker Swarm, Docker Compose, Docker Engine
- Experience with Provisioning and managing VM's - Virtual Machines
- Experience / strong knowledge with Network Topologies, Network Research,
- Jenkins, BitBucket, Jira
- Ansible or other Automation Configuration Management System tools
- Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
- Linux Systems Administration -: Redhat
Additional Preference:
Security, SSL configuration, Best Practices
Q2 is seeking a team-focused Lead Release Engineer with a passion for managing releases to ensure we release quality software developed using Agile Scrum methodology. Working within the Development team, the Release Manager will work in a fast-paced environment with Development, Test Engineering, IT, Product Management, Design, Implementations, Support and other internal teams to drive efficiencies, transparency, quality and predictability in our software delivery pipeline.
RESPONSIBILITIES:
- Provide leadership on cross-functional development focused software release process.
- Management of the product release cycle to new and existing clients including the build release process and any hotfix releases
- Support end-to-end process for production issue resolution including impact analysis of the issue, identifying the client impacts, tracking the fix through dev/testing and deploying the fix in various production branches.
- Work with engineering team to understand impacts of branches and code merges.
- Identify, communicate, and mitigate release delivery risks.
- Measure and monitor progress to ensure product features are delivered on time.
- Lead recurring release reporting/status meetings to include discussion around release scope, risks and challenges.
- Responsible for planning, monitoring, executing, and implementing the software release strategy.
- Establish completeness criteria for release of successfully tested software component and their dependencies to gate the delivery of releases to Implementation groups
- Serve as a liaison between business units to guarantee smooth and timely delivery of software packages to our Implementations and Support teams
- Create and analyze operational trends and data used for decision making, root cause analysis and performance measurement.
- Build partnerships, work collaboratively, and communicate effectively to achieve shared objectives.
- Make Improvements to processes to improve the experience and delivery for internal and external customers.
- Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to.
EXPERIENCE AND KNOWLEDGE:
- Bachelor’s degree in Computer Science, or related field or equivalent experience.
- Minimum 4 years related experience in product release management role.
- Excellent understanding of software delivery lifecycle.
- Technical Background with experience in common Scrum and Agile practices preferred.
- Deep knowledge of software development processes, CI/CD pipelines and Agile Methodology
- Experience with tools like Jenkins, Bitbucket, Jira and Confluence.
- Familiarity with enterprise software deployment architecture and methodologies.
- Proven ability in building effective partnership with diverse groups in multiple locations/environments
- Ability to convey technical concepts to business-oriented teams.
- Capable of assessing and communicating risks and mitigations while managing ambiguity.
- Experience managing customer and internal expectations while understanding the organizational and customer impact.
- Strong organizational, process, leadership, and collaboration skills.
- Strong verbal, written, and interpersonal skills.
- Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
- Familiarity with Python-related technologies and frameworks like Django or Pyramid.
- Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
- Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
- Familiarity with task queue frameworks like Celery or Pika is a plus.
- Source code management and Implementation of security best practices.
- Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
- Good understanding & implementation experience using 12-factor App principles
- Awareness of Cloud Security concepts
- Awareness of Information Security concepts and Best Practices
At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.
A few recognitions:
- Recognized as Top25 startups in India to work with 2019 by LinkedIn
- Winner of HDFC Bank's Digital Innovation Summit 2020
- Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
- Winner of Amazon AI Award 2019 for Fintech
- Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
- Winner of FinShare 2018 challenge held by ShareKhan
- Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
- 2nd place Citi India FinTech Challenge 2018 by Citibank
- Top 3 in Viacom18's Startup Engagement Programme VStEP
What your average day would look like:
- Deploy and maintain mission-critical information extraction, analysis, and management systems
- Manage low cost, scalable streaming data pipelines
- Provide direct and responsive support for urgent production issues
- Contribute ideas towards secure and reliable Cloud architecture
- Use open source technologies and tools to accomplish specific use cases encountered within the project
- Use coding languages or scripting methodologies to solve automation problems
- Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
- Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time
What you need to work with us:
- Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
- Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
- Proficiency in Unix Operating systems and comfortable with Networking concepts
- Experience with developing/deploying a scalable system
- Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
- Experience in managing Hadoop clusters
- Understanding of containers and have managed them in production using container orchestration services.
- Solid understanding of data structures and algorithms.
- Applied exposure to continuous delivery pipelines (CI/CD).
- Keen interest and proven track record in automation and cost optimization.
Experience:
- 1-4 years of relevant experience
- BE in Computer Science / Information Technology

• 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
•


DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery

