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Salesforce 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.
Lead DevSecOps Engineer
Location: Pune, India (In-office) | Experience: 3–5 years | Type: Full-time
Apply here → https://lnk.ink/CLqe2
About FlytBase:
FlytBase is a Physical AI platform powering autonomous drones and robots across industrial sites. Our software enables 24/7 operations in critical infrastructure like solar farms, ports, oil refineries, and more.
We're building intelligent autonomy — not just automation — and security is core to that vision.
What You’ll Own
You’ll be leading and building the backbone of our AI-native drone orchestration platform — used by global industrial giants for autonomous operations.
Expect to:
- Design and manage multi-region, multi-cloud infrastructure (AWS, Kubernetes, Terraform, Docker)
- Own infrastructure provisioning through GitOps, Ansible, Helm, and IaC
- Set up observability stacks (Prometheus, Grafana) and write custom alerting rules
- Build for Zero Trust security — logs, secrets, audits, access policies
- Lead incident response, postmortems, and playbooks to reduce MTTR
- Automate and secure CI/CD pipelines with SAST, DAST, image hardening
- Script your way out of toil using Python, Bash, or LLM-based agents
- Work alongside dev, platform, and product teams to ship secure, scalable systems
What We’re Looking For:
You’ve probably done a lot of this already:
- 3–5+ years in DevOps / DevSecOps for high-availability SaaS or product infra
- Hands-on with Kubernetes, Terraform, Docker, and cloud-native tooling
- Strong in Linux internals, OS hardening, and network security
- Built and owned CI/CD pipelines, IaC, and automated releases
- Written scripts (Python/Bash) that saved your team hours
- Familiar with SOC 2, ISO 27001, threat detection, and compliance work
Bonus if you’ve:
- Played with LLMs or AI agents to streamline ops and Built bots that monitor, patch, or auto-deploy.
What It Means to Be a Flyter
- AI-native instincts: You don’t just use AI — you think in it. Your terminal window has a co-pilot.
- Ownership without oversight: You own outcomes, not tasks. No one micromanages you here.
- Joy in complexity: Security + infra + scale = your happy place.
- Radical candor: You give and receive sharp feedback early — and grow faster because of it.
- Loops over lines: we prioritize continuous feedback, iteration, and learning over one-way execution or rigid, linear planning.
- H3: Happy. Healthy. High-Performing. We believe long-term performance stems from an environment where you feel emotionally fulfilled, physically well, and deeply motivated.
- Systems > Heroics: We value well-designed, repeatable systems over last-minute firefighting or one-off effort.
Perks:
▪ Unlimited leave & flexible hours
▪ Top-tier health coverage
▪ Budget for AI tools, courses
▪ International deployments
▪ ESOPs and high-agency team culture
Apply Here- https://lnk.ink/CLqe2
Role Overview
We are seeking a DevOps Engineer with 2 years of experience to join our innovative team. The ideal
candidate will bridge the gap between development and operations, implementing and maintaining our
cloud infrastructure while ensuring secure deployment pipelines and robust security practices for our
client projects.
Responsibilities:
- Design, implement, and maintain CI/CD pipelines.
- Containerize applications using Docker and orchestrate deployments
- Manage and optimize cloud infrastructure on AWS and Azure platforms
- Monitor system performance and implement automation for operational tasks to ensure optimal
- performance, security, and scalability.
- Troubleshoot and resolve infrastructure and deployment issues
- Create and maintain documentation for processes and configurations
- Collaborate with cross-functional teams to gather requirements, prioritise tasks, and contribute to project completion.
- Stay informed about emerging technologies and best practices within the fields of DevOps and cloud computing.
Requirements:
- 2+ years of hands-on experience with AWS cloud services
- Strong proficiency in CI/CD pipeline configuration
- Expertise in Docker containerisation and container management
- Proficiency in shell scripting (Bash/Power-Shell)
- Working knowledge of monitoring and logging tools
- Knowledge of network security and firewall configuration
- Strong communication and collaboration skills, with the ability to work effectively within a team
- environment
- Understanding of networking concepts and protocols in AWS and/or Azure
● Manage AWS services and day to day cloud operations.
● Work closely with the development and QA team to make the deployment process
smooth and devise new tools and technologies in order to achieve automation of most
of the components.
● Strengthen the infrastructure in terms of Reliability (configuring HA etc.), Security (cloud
network management, VPC, etc.) and Scalability (configuring clusters, load balancers,
etc.)
● Expert level understanding of DB replication, Sharding (mySQL DB Systems), HA
clusters, Failovers and recovery mechanisms.
● Build and maintain CI-CD (continuous integration/deployment) workflows.
● Having an expert knowledge on AWS EC2, S3, RDS, Cloudfront and other AWS offered
services and products.
● Installation and management of software systems in order to support the development
team e.g. DB installation and administration, web servers, caching and other such
systems.
Requirements:
● B. Tech or Bachelor's in a related field.
● 2-5 years of hands-on experience with AWS cloud services such as EC2, ECS,
Cloudwatch, SQS, S3, CloudFront, route53.
● Experience with setting up CI-CD pipelines and successfully running large scale
systems.
● Experience with source control systems (SVN, GIT etc), Deployment and build
automation tools like Jenkins, Bamboo, Ansible etc.
● Good experience and understanding of Linux/Unix based systems and hands-on
experience working with them with respect to networking, security, administration.
● Atleast 1-2 years of experience with shell/python/perl scripting; having experience with
Bash scripting is an added advantage.
● Experience with automation tasks like, automated backups, configuring fail overs,
automating deployment related process is a must have.
● Good to have knowledge of setting up the ELK stack; Infrastructure as a code services
like Terraform; working and automating processes with AWS SDK/CLI tools with scripts
As a MLOps Engineer in QuantumBlack you will:
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
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
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)
Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
Job Description:
- Hands on experience with Ansible & Terraform.
- Scripting language, such as Python or Bash or PowerShell is required and willingness to learn and master others.
- Troubleshooting and resolving automation, build, and CI/CD related issues (in cloud environment like AWS or Azure).
- Experience with Kubernetes is mandate.
- To develop and maintain tooling and environments for test and production environments.
- Assist team members in the development and maintenance of tooling for integration testing, performance testing, security testing, as well as source control systems (that includes working in CI systems like Azure DevOps, Team City, and orchestration tools like Octopus).
- Good with Linux environment.
Roles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus
REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.
Duties and Responsibilities :
- Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
- Build, release, and configuration management of production systems.
- System troubleshooting and problem-solving across platform and application domains.
- Suggesting architecture improvements, recommending process improvements.
- Evaluate new technology options and vendor products.
- Function well in a fast-paced, rapidly-changing environment
- Communicate effectively with people at all levels of the organization
Qualifications and Required Skills:
- Overall 3+ years of experience in various software engineering roles.
- 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
- Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
- Expertise in any of the programming languages – (NodeJS or Python preferable)
- Must have hands-on experience in using AWS/Azure - SDK/APIs.
- Must have experience in deploying, releasing, and managing production systems
- MCA or a degree in engineering in Computer Science, IT, or Electronics stream
Job Brief:
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Location:
Pune.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.








