Git
PythonSalesforce DevOps/Release Engineer
Resource type - Salesforce DevOps/Release Engineer
Experience - 5 to 8 years
Norms - PF & UAN mandatory
Resource Availability - Immediate or Joining time in less than 15 days
Job - Remote
Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)
Required Experience:
- 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
- Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
- Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
- Solid understanding of Salesforce architecture, metadata, and development lifecycle.
- Familiarity with version control systems (e.g., Git) and agile methodologies
Key Responsibilities:
- Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
- Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
- Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
- Monitor, troubleshoot, and resolve deployment and release issues.
- Maintain documentation for deployment processes and provide training on best practices.
- Stay updated on the latest Salesforce DevOps tools, features, and best practices.
Technical Skills:
- Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
- CI/CDBuilding and maintaining pipelines, automation, and release management
- Version ControlProficiency with Git and related workflows
- Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
- Scripting
- Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
- Communication
- Strong written and verbal communication skills
Preferred Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or related field.
Certifications:
Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.
Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.
Experience with Salesforce DX and deployment strategies for large-scale orgs.
Shubham Vishwakarma
Full Stack Developer - Averlon
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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
We are looking for an experienced Senior Software Developer for IT Services Management Team.
In this role, you will be responsible for the application management of a B2C application to meet the agreed Service Level Agreements (SLAs) and fulfil customer expectations.
You will act as an On-call-duty team in the time between 6:00 PM to 8:00 AM IST- 365 days a year. We are seeking a hands-on Software Developer with strong experience in Frontend + DevOps knowledge.
Responsibilities:
Problem Management & Incident Management activities: Identifying and resolving technical issues and errors that arise during application usage.
Release and Update Coordination: Planning and executing software updates, new versions, or system upgrades to keep applications up to date.
Change Management: Responsible for implementing and coordinating changes to the application, considering the impact on ongoing operations.
Requirements:
Education and Experience:
A bachelor’s or master’s degree in a relevant field, with a minimum of 5 years of professional experience or equivalent work experience.
Skills & Expertise:
Proficient in ITIL service management frameworks.
Strong analytical and problem-solving abilities.
Experienced in project management methodologies (Agile, Kanban).
Excellent English Communication, presentation, and interpersonal skills, with the ability to engage and collaborate with stakeholders.
Experience in 24x7 application On call Support and ready to work in shifts on a Hybrid /WFH mode.
This assignment is a long-term contract for more than 3 years.
Good knowledge in Frontend Technologies like Frontend & DevOps – skill set given below.
Skills & Requirements
React JS (v17+), Tanstack, Context, React Router, Redux, Webpack / Vite, Storybook, Jest, React Testing Library, Vitest, Cypress, npm, Restful API, Azure, Azure Devops, Kubernetes, kubeAPI, docker/container, Debug Tools, openSSL, Kustomize, Curl.
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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.
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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.
KubernetesDockerHead Kubernetes
Docker, Kubernetes Engineer – Remote (Pan India)
ABOUT US
Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.
THE POSITION
Ashnik is looking for talented and passionate Technical consultant to be part of the training team and work with customers on DevOps Solution. You will be responsible for implementation and consultations related work for customers across SEA and India. We are looking for personnel with personal qualities like -
- Passion for working for different customers and different environments.
- Excellent communication and articulation skills
- Aptitude for learning new technology and willingness to understand technologies which he/she is not directly working on.
- Willingness to travel within and outside the country.
- Ability to independently work at the customer site and navigate through different teams.
SKILLS AND EXPERIENCE
ESSENTIAL SKILLS
- 3+ years of experience with B.E/ B.Tech, MCA, Graduation Degree with higher education in the technical field.
- Must have prior experience with docker containers, swarm and/or Kubernetes.
- Understanding of Operating System, processes, networking, and containers.
- Experience/exposure in writing and managing Dockerfile or creating container images.
- Experience of working on Linux platform.
- Ability to perform installations and system/software configuration on Linux.
- Should be aware of networking and SSL/TLS basics.
- Should be aware of tools used in complex enterprise IT infra e.g. LDAP, AD, Centralized Logging solution etc.
A preferred candidate will have
- Prior experience with open source Kubernetes or another container management platform like OpenShift, EKS, ECS etc.
- CNCF Kubernetes Certified Administrator/Developer
- Experience in container monitoring using Prometheus, Datadog etc.
- Experience with CI/CD tools and their usage
- Knowledge of scripting language e.g., shell scripting
RESPONSIBILITIES
First 2 months:
- Get an in-depth understanding of containers, Docker Engine and runtime, Swarm and Kubernetes.
- Get hands-on experience with various features of Mirantis Kubernetes Engine, and Mirantis Secure Registry
After 2 months:
- Work with Ashnik’s pre-sales and solution architects to deploy Mirantis Kubernetes Engine for customers
- Work with customer teams and provide them guidance on how Kubernetes Platform can be integrated with other tools in their environment (CI/CD, identity management, storage etc)
- Work with customers to containerize their applications.
- Write Dockerfile for customers during the implementation phase.
- Help customers design their network and security policy for effective management of applications deployed using Swarm and/or Kubernetes.
- Help customer design their deployments either with Swarm services or Kubernetes Deployments.
- Work with pre-sales and sales team to help customers during their evaluation of Mirantis Kubernetes platform
- Conduct workshops for customers as needed for technical hand-holding and technical handover.
Package: upto30 L
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PythonAmazon Web Services (AWS)Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.
There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.
Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.
That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.
Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/" target="_blank">https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/
Title: Cloud DevOps Engineer
Role: Individual Contributor (4-8 yrs)
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- Energetic self-starter, a fast learner, with a desire to work in a startup environment
- Experience working with Public Clouds like AWS
- Operating and Monitoring cloud infrastructure on AWS.
- Primary focus on building, implementing and managing operational support
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- Handling load monitoring, capacity planning, and services monitoring.
- Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues.
- Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc
KubernetesDocker- Recommend a migration and consolidation strategy for DevOps tools
- Design and implement an Agile work management approach
- Make a quality strategy
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Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
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We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
KubernetesDockerRole Summary
In this role, you will lead the DevOps function at the organisation and work through all
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documentation.
Responsibilities
- Design, prototype, implement, test and troubleshoot deployment strategies
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- preferred.
- Design continuous integration and delivery pipelines using latest tools and platformsv
- Demonstrated understanding and hands-on experience in Kubernetes, K8s-Ingress,
- Docker, AWS EC2, VPC, Route53, ELB, RDS, MongoDB, Helm, Rancher, Jenkins,
- VPN, GKE.
- Create high level deployment design (HLSD) documents and outline software solutions
- Strong DevOps Management experience with focus on server-side development and
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- Strong understanding of web technologies, web services, communication protocols,
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- desktop applications and web services
- Knowledge of Agile software development methodologies
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Qualification
- Experience with working on code enhancements within a large, complex software
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- Create server side deployment primarily in the Cloud, Collaboration space
- 10+ years of relevant experience in developing and managing web/app products.
- Experience with a few of these languages: Shell, Ruby/ JRuby, Python, PowerShell, Java,
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- Hands-on experience in deploying and managing highly scalable cloud applications
- using AWS,Google Cloud
- Assure that all user input is validated before submitting to back-end
- Basic understanding of cloud security and hands on experience in building secure
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- Prepare accurate implementation task lists / time estimates and deliver assignments as
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Kubernetes
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max
Amazon Web Services (AWS)Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
-
Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
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Experience with PostgreSQL database
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon