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.

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange

We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.

The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.

Responsibilities:

Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.

Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.

Improve and fix bugs in installation and automation routines.

Monitor CPU usage, security findings, and AWS alerts.

Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.

Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).

Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.

Integrate data from AWS CloudWatch.

Document all relevant information and train involved personnel in the used technologies.

Requirements:

Experience with Elastic Stack (ELK) components and related technologies.

Proficiency in automation tools like Ansible and CloudFormation.

Strong knowledge of AWS Cloud services.

Experience in creating and managing dashboards and alerts.

Familiarity with IAM roles and rights management.

Ability to document processes and train team members.

Excellent problem-solving skills and attention to detail.

Skills & Requirements

Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.

General Description:Owns all technical aspects of software development for assigned applications

Participates in the design and development of systems & application programs

Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation

Required Skills:

In depth experience configuring and administering EKS clusters in AWS.

In depth experience in configuring **Splunk SaaS** in AWS environments especially in **EKS**

In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**

In depth knowledge of observability concepts and strong troubleshooting experience.

Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.

Experience in **Terraform** and Infrastructure as code.

Experience in **Helm**Strong scripting skills in Shell and/or python.

Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.

Must have a good understanding of cloud concepts (Storage /compute/network).

Experience collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.

Experience with Git and GitHub.Experience with code build and deployment using GitHub actions, and Artifact Registry.

Proficient in developing and maintaining technical documentation, ADRs, and runbooks.

Responsibilities

• Implement various development, testing, automation tools, and IT infrastructure
• Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
• Manage end-to-end production workloads hosted on Docker and AWS
• Automate CI pipeline using Groovy DSL
• Deploy and configure Kubernetes clusters (EKS)
• Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker

Eligibility

• At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
• Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
• Experience in deploying and managing production environments in Amazon AWS
• Strong experience in continuous integration and continuous deployment
• Knowledge of application build, deployment, and configuration using one of the tools: Jenkins

FINTECH CANDIDATES ONLY

About the job:

Emint is a fintech startup with the mission to ‘Make the best investing product that Indian consumers love to use, with simplicity & intelligence at the core’. We are creating a platformthat

gives a holistic view of market dynamics which helps our users make smart & disciplined

investment decisions. Emint is founded by a stellar team of individuals who come with decades of

experience of investing in Indian & global markets. We are building a team of highly skilled &

disciplined team of professionals and looking at equally motivated individuals to be part of

Emint. Currently are looking at hiring a Devops to join our team at Bangalore.

Job Description :

Must Have:

• Hands on experience on AWS DEVOPS

• Experience in Unix with BASH scripting is must

• Experience working with Kubernetes, Docker.

• Experience in Gitlab, Github or Bitbucket artifactory

• Packaging, deployment

• CI/CD pipeline experience (Jenkins is preferable)

• CI/CD best practices

Good to Have:

• Startup Experience

• Knowledge of source code management guidelines

• Experience with deployment tools like Ansible/puppet/chef is preferable

• IAM knowledge

• Coding knowledge of Python adds value

• Test automation setup experience

Qualifications:

• Bachelor's degree or equivalent experience in Computer Science or related field

• Graduates from IIT / NIT/ BITS / IIIT preferred

• Professionals with fintech ( stock broking / banking ) preferred

• Experience in building & scaling B2C apps preferred

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

Position Summary-

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

• 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