Amazon Web Services (AWS)
grafanaKey Responsibilities
DevOps Strategy & Leadership
- Define and execute the end-to-end DevOps strategy for high-frequency trading and fintech platforms.
- Lead, mentor, and scale a high-performing DevOps team focused on automation, reliability, and performance.
- Partner closely with engineering and product leaders to ensure infrastructure strategy supports business and technical goals.
CI/CD & Infrastructure Automation
- Architect, implement, and optimize enterprise-grade CI/CD pipelines for ultra-low-latency trading systems.
- Drive Infrastructure as Code (IaC) adoption using Terraform, Helm, Kubernetes, and advanced automation toolsets.
- Establish robust release management, deployment workflows, and versioning best practices for mission‑critical environments.
Cloud & On‑Prem Infrastructure Management
- Design and manage hybrid infrastructures across AWS, GCP, and on-premise data centers ensuring high availability and fault tolerance.
- Implement sophisticated networking strategies for low-latency workloads including routing optimization and performance tuning.
- Lead multi‑cloud scalability, cost optimization, and environment standardization initiatives.
Performance Monitoring & Optimization
- Oversee large-scale monitoring systems using Prometheus, Grafana, ELK, and related observability tools.
- Implement predictive alerting, automated remediation, and system‑wide health checks for zero‑downtime operations.
- Conduct root-cause analyses and performance tuning for systems processing millions of transactions per second.
Security & Compliance
- Champion DevSecOps practices and embed security across the entire development and deployment lifecycle.
- Ensure adherence to financial regulatory standards (SEBI and global frameworks) with strong audit and compliance mechanisms.
- Lead security automation efforts, vulnerability management, and advanced IAM policy implementation.
Required Skills & Qualifications
- 10+ years of DevOps experience, with 5+ years in a leadership capacity.
- Deep hands-on expertise in CI/CD tools such as Jenkins, GitLab CI/CD, and ArgoCD.
- Strong command of AWS, GCP, and hybrid cloud infrastructures.
- Expert-level knowledge of Kubernetes, Docker, and large-scale container orchestration.
- Advanced proficiency in Terraform, Helm, and overall IaC workflows.
- Strong Linux administration, networking fundamentals (TCP/IP, DNS, Firewalls), and system internals.
- Experience with monitoring and observability platforms (Prometheus, Grafana, ELK).
- Excellent scripting skills in Python, Bash, or Go for automation and tooling.
- Deep understanding of security principles, encryption, IAM, and compliance frameworks.
Good to Have
- Experience with ultra-low-latency or high-frequency trading systems.
- Knowledge of FIX protocol, FPGA acceleration, or network‑level optimizations.
- Familiarity with Redis, Nginx, or other high‑throughput systems.
- Exposure to micro‑second‑level performance tuning or network acceleration technologies.
Why Join Us?
- Be part of a team that consistently raises the bar and delivers exceptional engineering outcomes.
- A culture where innovation, ownership, and bold thinking are valued.
- Exceptional growth opportunities—ideal for someone who thrives in fast-paced, high-impact environments.
- Build systems that influence markets and redefine the fintech landscape.
This isn’t just a role—it’s a challenge, a platform, and a proving ground.
Ready to step up? Apply now.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Tradelab Technologies
About
TradeLab is a leading fintech technology provider, delivering cutting-edge solutions to brokers, banks, and fintech platforms. Our portfolio includes high-performance Order & Risk Management Systems (ORMS), seamless MetaTrader integrations, AI-driven customer engagement platforms such as PULSE LLaVA, and compliance-grade risk management solutions. With a proven track record of successful deployments at top-tier brokerages and financial institutions, TradeLab combines scalability, regulatory alignment, and innovation to redefine digital broking and empower clients in the capital markets ecosystem.
Candid answers by the company
Bangalore/Mumbai
Company social profiles
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Kubernetes
DockerJob Details
- Job Title: Senior DevOps Engineer
- Industry: Consumer Internet, Technology & Travel and Tourism Platform
- Function - IT
- Experience Required: 4-7 years
- Employment Type: Full Time
- Job Location: Bengaluru
- CTC Range: Best in Industry
Criteria:
- Strong DevOps / Infrastructure Engineer Profiles.
- Must have 4+ years of hands-on experience working as a DevOps Engineer / Infrastructure Engineer / SRE / DevOps Consultant.
- Must have hands-on experience with Kubernetes and Docker, including deployment, scaling, or containerized application management.
- Must have experience with Infrastructure as Code (IaC) or configuration management tools such as Terraform, Ansible, Chef, or Puppet.
- Must have strong automation and scripting experience using Python, Go, Bash, Shell, or similar scripting languages.
- Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Kafka.
- Candidate must demonstrate strong expertise in at least one of the following areas - Databases / Distributed Data Systems, Observability & Monitoring, CI/CD Pipelines. Networking Concepts, Kubernetes / Container Platforms
- Candidates must be from B2C Product-based companies only.
- (Education) – BE / B.Tech or equivalent
Preferred
- Experience working with microservices or event-driven architectures.
- Exposure to cloud infrastructure, monitoring, reliability, and scalability practices.
- (Skills) – Understanding of programming languages such as Go, Python, or Java.
- Preferred (Environment) – Experience working in high-scale production or fast-growing product startups.
Job Description
As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
- Codify our infrastructure
- Do what it takes to keep the uptime above 99.99%
- Understand the bigger picture and sail through the ambiguities
- Scale technology considering cost and observability and manage end-to-end processes
- Understand DevOps philosophy and evangelize the principles across the organization
- Strong communication and collaboration skills to break down the silos
Amazon Web Services (AWS)Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most systems don’t fail because of one big outage.
They fail because reliability is treated as an afterthought.
Right now, uptime depends too much on individual heroics.
That doesn’t scale.
This role exists to build a reliability system where:
- Uptime is predictable
- Failures are contained
- Escalations don’t depend on leadership
What you’ll do
You will not just monitor systems.
You will own reliability as a product.
1. Drive uptime to production-grade reliability
- Improve system uptime to 99.9% customer-facing SLA within 4 months
- Define and track:
- SLAs / SLOs / error budgets
- Ensure reliability is measured from the customer’s perspective, not internal metrics
2. Build incident response as a system
- Set up a 24/7 incident response rotation across 3 engineers
- Eliminate dependency on leadership (no single escalation point)
- Define:
- Incident severity levels
- Response playbooks
- Escalation protocols
- Ensure fast detection → containment → resolution
3. Contain and fix erratic system behavior
- Identify and resolve:
- Latency spikes
- Downtime incidents
- Integration failures
- Build guardrails to prevent recurrence
- Focus on root cause elimination, not temporary fixes
4. Create continuous reliability feedback loops
- Work closely with engineering teams to:
- Surface recurring failure patterns
- Improve build quality
- Reduce production bugs
- Ensure learnings from incidents directly improve future releases
5. Improve observability and monitoring
- Build dashboards and alerts for:
- System health
- Performance metrics
- Failure signals
- Ensure issues are detected before customers report them
6. Reduce operational fragility
- Remove single points of failure (people, systems, workflows)
- Improve system resilience across:
- Deployments
- Integrations
- Runtime environments
What success looks like
- Uptime reaches 99.9%+ reliably
- Incidents are:
- Detected early
- Contained quickly
- Resolved permanently
- No dependency on a single individual for escalation
- System behavior becomes predictable and stable
- Engineering teams ship with higher reliability confidence
Who you are
- You have 2-5 years of experience in SRE / DevOps / backend systems
- You have worked on production systems with real uptime expectations
- You think in:
- Systems
- Failure modes
- Trade-offs
- You are comfortable debugging live, high-pressure environments
What will make you stand out
- Experience with:
- Distributed systems
- Cloud infrastructure (AWS / Azure / GCP)
- Monitoring & alerting tools
- Have built or improved:
- Incident response systems
- Reliability frameworks
- Strong debugging skills across:
- Infra
- Application
- Integrations
Compensation
₹60,000/month (fixed)
(Aligned with role scope and impact expectations)
Why join
- You will define reliability standards for a production AI platform
- Your work directly impacts:
- Customer trust
- Product performance
- Enterprise readiness
- You will move the system from reactive → predictable
What this role is not
- Not just monitoring dashboards
- Not limited to handling tickets
- Not dependent on escalation to leadership
What this role is
- A builder of reliability systems
- A guardian of uptime and performance
- A multiplier of engineering quality
One question to self-evaluate
Can you build a system where downtime is rare, predictable, and never dependent on a single person?
GitJob Requirements
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 ensure
alignment 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
Skill Area Requirements
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.
DockerKubernetesAmazon Web Services (AWS)Who we are :
Stanza Living is India's largest and fastest growing tech-enabled, managed accommodation company that delivers a hospitality-led living experience to migrant students and young working professionals across India. We have a full-stack business model that focuses on design, development and delivery of daily living solutions tailored to the young consumers' lifestyle. From smartly-planned residences, host of amenities and services for hassle-free living to exclusive community engagement programmes - everything is seamlessly integrated through technology to ensure the highest consumer delight.
Today, we are :
- India's largest managed accommodation company with over 75,000+ beds under management across 25+ cities
- Most capitalized player in the managed accommodation space, backed by global marquee investors - Falcon Edge, Equity International, Sequoia Capital, Matrix Partners, Accel Partners
- Recognized as the Best Real Estate Tech company across the Globe in 2020 by leading analysis agency, Tracxn
- LinkedIn Top Startup to Work for - 2019
Objectives of this role :
- Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company
- Define and document best practices and strategies regarding application deployment and infrastructure maintenance
- Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies
- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
- Manage cloud environments in accordance with company security guidelines
Job Description :
- Excellent understanding of Cloud Platform (AWS)
- Strong knowledge on AWS Services, design, configuration on enterprise systems
- Good knowledge on Kubernetes configuration, Dockers
- Understanding the needs of the business for defining AWS system specifications
- Understand Architecture Requirements and ensure effective support activities
- Evaluation and choosing suitable AWS Service or and suggesting methods for integration
- Overseeing assigned programs and guiding the team members
- Providing assistance when technical problems arise
- Making sure the agreed infrastructure and architecture are implemented
- Addressing the technical concerns, suggestions, and ideas
- Configure Monitoring systems to make sure they meet business goals as well as user requirements
- Excellent knowledge of AWS IaaS Layer
- Ability to lead & implement PS workloads or POCs
- Ensure continual knowledge management
DockerKubernetesAmazon Web Services (AWS)We are looking for a DevOps Engineer (individual contributor) to maintain and build upon our next-generation infrastructure. We aim to ensure that our systems are secure, reliable and high-performing by constantly striving to achieve best-in-class infrastructure and security by:
- Leveraging a variety of tools to ensure all configuration is codified (using tools like Terraform and Flux) and applied in a secure, repeatable way (via CI)
- Routinely identifying new technologies and processes that enable us to streamline our operations and improve overall security
- Holistically monitoring our overall DevOps setup and health to ensure our roadmap constantly delivers high-impact improvements
- Eliminating toil by automating as many operational aspects of our day-to-day work as possible using internally created, third party and/or open-source tools
- Maintain a culture of empowerment and self-service by minimizing friction for developers to understand and use our infrastructure through a combination of innovative tools, excellent documentation and teamwork
Tech stack: Microservices primarily written in JavaScript, Kotlin, Scala, and Python. The majority of our infrastructure sits within EKS on AWS, using Istio. We use Terraform and Helm/Flux when working with AWS and EKS (k8s). Deployments are managed with a combination of Jenkins and Flux. We rely heavily on Kafka, Cassandra, Mongo and Postgres and are increasingly leveraging AWS-managed services (e.g. RDS, lambda).
DockerKubernetesAmazon Web Services (AWS)• DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
• Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
• Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
• Setup monitoring of infrastructure and applications with alerting frameworks
Requirements:
• Able to code in Python.
• Extensive experience with building and supporting Docker and Kubernetes in
production.
• Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
• Security Clearance will be required.
• Lambda used in conjunction with S3, CloudTrail and EC2.
• CloudFormation (Infrastructure as code)
• CloudWatch and CloudTrail
• Version Control (SVN, Git, Artifactory, Bit bucket)
• CI/CD (Jenkins or similar)
• Docker Compose or other orchestration tools
• Rest API
• DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
• Bachelor’s Degree in Computer Science, Computer Engineering or a closely
related field.
• Server orchestration using tools like Puppet, Chef, Ansible, etc.
Please send your CV at priyanka.sharma @ neotas.com
Neotas.com
KubernetesDockerAmazon Web Services (AWS)● Bachelor Degree or 5+ years of professional or experience.
● 2+ years of hands-on experience of programming in languages such as Python, Ruby,
Go, Swift, Java, .Net, C++ or similar object-oriented language.
● Experience with automating cloud native technologies, deploying applications, and
provisioning infrastructure.
● Hands-on experience with Infrastructure as Code, using CloudFormation, Terraform, or
other tools.
● Experience developing cloud native CI/CD workflows and tools, such as Jenkins,
Bamboo, TeamCity, Code Deploy (AWS) and/or GitLab.
● Hands-on experience with microservices and distributed application architecture, such
as containers, Kubernetes, and/or serverless technology.
● Hands-on experience in building/managing data pipelines, reporting & analytics.
● Experience with the full software development lifecycle and delivery using Agile
practices.
● Preferable (bonus points if you know these):
○ AWS cloud management
○ Kafka
○ Databricks
○ Gitlab CI/CD hooks
○ Python notebooks
DockerKubernetesAmazon Web Services (AWS)We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
●Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking
● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.
● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.
● Ensuring scaled database setup/monitoring with near zero downtime
Amazon Web Services (AWS)We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company. You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on the AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand-based
auto-scaling.
- Have on-call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high-level programming
languages.
- Extensive experience in any Javascript-based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon