DevOps Engineer

Position: DevOps Engineer / Senior DevOps Engineer

Experience: 3 to 6 Years

Key Skills: AWS, Terraform, Docker, Kubernetes, DevSecOps pipeline

Job Description:

• AWS Infrastructure: Architect, deploy, and manage AWS services like EC2, S3, RDS, Lambda, SageMaker, API Gateway, and VPC.
• Networking: Proficient in subnetting, endpoints, NACL, security groups, VPC flow logs, and routing.
• API Management: Design and manage secure, scalable APIs using AWS API Gateway.
• CI/CD Pipelines: Build and maintain CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy.
• Automation & IaC: Use Terraform and CloudFormation for automating infrastructure management.
• Containerization & Kubernetes: Expertise in Docker, Kubernetes, and managing containerized deployments.
• Monitoring & Logging: Implement monitoring with AWS CloudWatch, CloudTrail, and other tools.
• Security: Apply AWS security best practices using IAM, KMS, Secrets Manager, and GuardDuty.
• Cost Management: Monitor and optimize AWS usage and costs.
• Collaboration: Partner with development, QA, and operations teams to enhance productivity and system reliability.

𝐖𝐞’𝐫𝐞 𝐇𝐢𝐫𝐢𝐧𝐠: 𝐀𝐈-𝐍𝐚𝐭𝐢𝐯𝐞 𝐃𝐞𝐯𝐒𝐞𝐜𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐚𝐭 𝐅𝐥𝐲𝐭𝐁𝐚𝐬𝐞

📍 Location: Pune (Onsite)

This will be one of the most challenging and rewarding roles of your career.

At FlytBase, prompting is thinking. We don’t care if you’ve memorized APIs or collected DevOps certifications.

We care how you think, how you debug under pressure, and how you solve infra problems no one else can.

We don’t hire engineers to maintain systems.

We hire infra architects to design infrastructure that runs—and evolves—on its own.

If you need step-by-step tickets or constant direction—don’t apply.

We’re looking for engineers who can design, secure, and scale real-world systems with speed, clarity, and zero excuses.

If that’s what you’ve been waiting for—read on.

𝐓𝐡𝐞 𝐌𝐢𝐬𝐬𝐢𝐨𝐧

FlytBase is building the autonomous backbone for aerial intelligence—drone fleets that operate 24/7 at industrial scale.

Our platform flies missions, detects anomalies, and delivers insights—with no human in the loop.

The infra behind this? That’s what you build.

𝐘𝐨𝐮𝐫 𝐋𝐨𝐨𝐩

• Design AI-secured CI/CD pipelines (GitHub, Docker, Terraform, SAST/DAST)

• Architect AWS infra (EC2, S3, IAM, VPCs, EKS) with Infrastructure-as-Code

• Build intelligent observability systems (Grafana, Dynatrace, LLM-based detection)

• Define fallback, rollback & recovery loops that don’t need escalation

• Enforce compliance (SOC2, ISO27001, GDPR) without killing velocity

• Own SLAs from definition → delivery → defense

• Automate what used to need a team. Then automate again.

𝐖𝐡𝐨 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫

✅ You treat infrastructure like a product

✅ You already use AI Tools to move 5x faster

✅ You can go from “zero” to “live infra” in 48 hours

𝐁𝐨𝐧𝐮𝐬 𝐩𝐨𝐢𝐧𝐭𝐬 𝐢𝐟 𝐲𝐨𝐮’𝐯𝐞:

• Built custom DevOps bots or AI agents

• Got an OSCP or hacked together your own SOC2 framework

• Shipped production infra solo

• Open-sourced your infra tools or scripts

𝐉𝐨𝐢𝐧 𝐔𝐬

If you’re still reading—good. That’s a signal.

𝐀𝐩𝐩𝐥𝐲 𝐡𝐞𝐫𝐞👉 https://lnkd.in/gsqjaJSP

We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.

We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.

Responsibilities:

• Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
• Manage and maintain Kubernetes clusters on EKS and EC2 instances
• Implement and maintain automated CI/CD pipelines for microservices
• Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
• Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
• Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
• Implement backup and disaster recovery solutions for our microservices and databases
• Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
• Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
• Experience with large scale system design and scaling services is highly desirable

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• At least 5 years of experience in AWS DevOps and infrastructure engineering
• Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
• Experience with SOC2 compliance and vulnerability assessment best practices for microservices
• Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
• Strong scripting skills in languages like Python, Bash, and Go
• Excellent communication skills and the ability to work in a collaborative team environment
• Experience with agile development methodologies and DevOps practices
• AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.

Notice period : Can join within a month

Responsibilities

● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,

scalable & are of high quality.

● Build and/or operate platforms that are highly available, elastic, scalable, operable and

observable.

● Build/Adapt and implement tools that empower the TI AI engineering teams to

self-manage the infrastructure and services owned by them.

● You will identify, articulate, and lead various long-term tech vision, strategies,

cross-cutting initiatives and architecture redesigns.

● Design systems and make decisions that will keep pace with the rapid growth of TI AI.

● Document your work and decision-making processes, and lead presentations and

discussions in a way that is easy for others to understand.

● Available for on-call during emergencies to handle and resolve problems in a quick and

efficient manner.

Requirements

● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and

Kubernetes or similar infrastructure platforms. (preferably AWS)

● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test

everything, proactive monitoring etc).

● Experience in building and operating distributed systems.

● Understanding of operating systems, virtualization, containerization and networks

preferable

● Hands-on coding on any of the languages like Python or GoLang.

● Familiarity with software engineering practices including unit testing, code reviews, and

design documentation.

● Strong debugging and problem-solving skills Curiosity about how things work and love to

share that knowledge with others.

Benefits :

● Work with a world class team working on a very forward looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family

Cloud Software Engineer

Notice Period: 45 days / Immediate Joining

Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure.  We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms.  Our engagement service is built on the DevOps standard practice and SRE model.

We offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.

Roles and Responsibilities

· A wide variety of engineering projects including data visualization, web services, data engineering, web-portals, SDKs, and integrations in numerous languages, frameworks, and clouds platforms

· Apply continuous delivery practices to deliver high-quality software and value as early as possible.

· Work in collaborative teams to build new experiences

· Participate in the entire cycle of software consulting and delivery from ideation to deployment

· Integrating multiple software products across cloud and hybrid environments

· Developing processes and procedures for software applications migration to the cloud, as well as managed services in the cloud

· Migrating existing on-premises software applications to cloud leveraging a structured method and best practices

Desired Candidate Profile : *** freshers can also apply ***

· 2+years of experience with 1 or more development languages such as Java, Python, or Spark.

· 1 year + of experience with private/public/hybrid cloud model design, implementation, orchestration, and support.

· Certification or any training's completion of any one of the cloud environments like AWS, GCP, Azure, Oracle Cloud, and Digital Ocean.

· Strong problem-solvers who are comfortable in unfamiliar situations, and can view challenges through multiple perspectives

· Driven to develop technical skills for oneself and team-mates

· Hands-on experience with cloud computing and/or traditional enterprise datacentre technologies, i.e., network, compute, storage, and virtualization.

· Possess at least one cloud-related certification from AWS, Azure, or equivalent

· Ability to write high-quality, well-tested code and comfort with Object-Oriented or functional programming patterns

· Past experience quickly learning new languages and frameworks

· Ability to work with a high degree of autonomy and self-direction

http://www.banyandata.com" target="_blank">www.banyandata.com 

• He has to perform architectural analysis, and he should know how to design enterprise-level systems.
• He should know how to design and simulate tools for the perfect delivery of systems.
• He should know how to design, develop, and maintain systems, processes, procedures to deliver a high-quality service design.
• He has to work with other members of a team and other departments to establish healthy communication and information flow.
• He should know how to deliver a high-performing solution architecture that can support the development efforts of a business.
• He has to plan, design, and configure the most typical business solutions as needed.
• He has to prepare technical documents and other presentations for multiple solutions areas.
• He has to be sure that the best practices for configuration management are carried our as it was needed.
• He has to work on customer specifications, analyze them, and conduct the best product recommendations associated with the platform

Requirements

• AWS Solution Architect 9-10 Years
• Responsible for managing applications on public cloud (AWS) infrastructure.
• Responsible for larger migrations of applications from VM to cloud/cloud-native.
• Responsible for setting up monitoring for cloud/cloud-native-based infrastructure and applications.
• MUST: AWS Solution Architect Professional certification.