Cloud Engineer

Springer Capital is a cross-border asset management firm focused on real estate investment banking in China and the USA. We are offering a remote internship for individuals passionate about automation, cloud infrastructure, and CI/CD pipelines. Start and end dates are flexible, and applicants may be asked to complete a short technical quiz or assignment as part of the application process. 

Responsibilities: 

▪ Assist in building and maintaining CI/CD pipelines to automate development workflows 

▪ Monitor and improve system performance, reliability, and scalability 

▪ Manage cloud-based infrastructure (e.g., AWS, Azure, or GCP) 

▪ Support containerization and orchestration using Docker and Kubernetes 

▪ Implement infrastructure as code using tools like Terraform or CloudFormation 

▪ Collaborate with software engineering and data teams to streamline deployments 

▪ Troubleshoot system and deployment issues across development and production environments 

Job Title: Lead DevOps Engineer

Experience Required: 8+ years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

8+ years of experience in DevOps or Site Reliability Engineering (SRE).

3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

We’re hiring a DevOps Engineer who’s passionate about automation, reliability, and scaling infrastructure for modern cloud-native applications. If you thrive in dynamic environments and love problem-solving at scale, we’d love to meet you!

🔧 Key Responsibilities

• Manage and support production systems with on-call rotations
• Deploy and maintain scalable infrastructure on AWS (ECS, EC2, EKS, S3, RDS, ELB, IAM, Lambda)
• Build infrastructure using Terraform
• Manage and monitor Kubernetes clusters and Docker containers
• Automate deployment and configuration using Ansible or similar tools
• Ensure systems reliability using robust monitoring and alerting tools
• Work with Linux OS, and network protocols like HTTP, DNS, SMTP, LDAP
• Manage services like Nginx, HAProxy, MySQL, SSH
• Collaborate with development, QA, and product teams
• Document systems and infrastructure best practices

✅ Required Skills

• 4+ years in DevOps, SRE, or Systems Administration
• Hands-on experience with AWS, Kubernetes, Docker
• Proficient with Terraform, Ansible, and Linux systems
• Strong understanding of networking, system logs, and debugging
• Excellent communication and documentation skills

Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients

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 **DataDog** 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 in 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.

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

Job Role - DevOps Infra Lead Engineer

About LenDenClub

LenDenClub is a leading peer-to-peer lending platform that provides an alternate investment opportunity to investors or lenders looking for high returns with creditworthy borrowers looking for short-term personal loans. With a total of 8 million users and 2 million+ investors on board, LenDenClub has become a go-to platform to earn returns in the range of 10%-12%. LenDenClub offers investors a convenient medium to browse thousands of borrower profiles to achieve better returns than traditional asset classes. Moreover, LenDenClub is safeguarded by

market volatility and inflation. LenDenClub provides a great way to diversify one’s investment portfolio.

LenDenClub has raised US $10 million in a Series A round from an association of investors. With the new round of funding, LenDenClub was valued at more than US $51 million in the last round and has grown multifold since then.

Why work at LenDenClub

LenDenClub is a certified great place to work. The certification comes from the Great Place to Work Institute, Inc., a globally renowned firm dedicated to evaluating companies for their employee satisfaction on the grounds of high trust and high-performance culture at workplaces.

As a LenDenite, you will be a part of an enthusiastic and passionate group of individuals who own and love what they do. At LenDenClub we believe in creating leaders and with you coming on board you get to work with complete freedom to chase your ultimate career goal without any inhibitions.

Website - https://www.lendenclub.com

Location - Mumbai (Goregaon)

Responsibilities of a DevOps Infra Lead Engineer:

● Responsible for creating software deployment strategies that are essential for the successful deployment of software in the work environment. Identify and implement data storage methods like clustering to improve the performance of the team.

● Responsible for coming up with solutions for managing a vast number of documents in real-time and enables quick search and analysis. Identifies issues in the production phase and system and implements monitoring solutions to overcome those issues.

● Stay abreast of industry trends and best practices. Conduct research, tests, and execute new techniques which could be reused and applied to the software development project.

● Accountable for designing, building, and optimizing automation systems that help to execute business web and data infrastructure platforms.

● Creating technology infrastructure, automation tools, and maintaining configuration management.

● To cater to the engineering department’s quality and standards, implement lifecycle infrastructure solutions and documentation operations.

● Implementation and maintaining of CI/CD pipelines.

● Containerisation of applications

● Construct and improve the security on the infrastructure

● Infrastructure As A Code

● Maintaining Environments

● Nat and ACL's

● Setup of ECS and ELB for HA

● WAF and Firewall and DMZ

● Deployment strategies for high uptime

● Setup up monitoring and policies for infra and applications

​

Required Skills

● Communication Skills

● Interpersonal Skills

● Infrastructure

● Aware of technologies like Python, MYSQL, MongoDB, and so on.

● Sound knowledge of cloud infrastructure.

● Should possess knowledge of fundamental Unix/Linux, monitoring, editing, and command-based tools is essential.

● Versed in scripting languages such as Ruby and Shell

● Google Cloud Platforms, Hadoop, NoSQL databases, and big data clusters.

● Knowledge of open source technologies

As part of the Cloud Platform / Devops team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –

• Building Infrastructure on AWS driven through terraform and building automation tools for deployment, infrastructure management, and observability stack 
• Building and Scaling on Kubernetes
• Ensuring the Security of Upswing Cloud Infra
• Building Security Checks and automation to improve overall security posture 
• Building automation stack for components like JVM-based applications, Apache Pulsar, MongoDB, PostgreSQL, Reporting Infra, etc.
• Mentoring people across the teams to enable best practices 
• Mentoring and guiding team members to upskill and helm them develop work class Fintech Infrastructure

What will you do if you join us?

• Write a lot of code
• Engage in a lot of cross-team collaboration to independently drive forward infrastructure initiatives and Devops practices across the org 
• Taking Ownership of existing, ongoing, and future initiatives 
• Plan Architecture- for upcoming infrastructure
• Build for Scale, Resiliency & Security 
• Introduce best practices wrt Devops & Cloud in the team
• Mentor new/junior team members and eventually build your own team

You should have

• Curiosity for on-the-job learning and experimenting with new technologies and ideas
• A strong background in Linux environment
• Must have Programming skills and Experience
• Strong experience in Cloud technologies, Security and Networking concepts, Multi-cloud environments, etc.
• Experience with at least one scripting language (GoLang/Python/Ruby/Groovy)
• Experience in Terraform is highly desirable but not mandatory
• Experience with Kubernetes and Docker is required 
• Understanding of the Java Technologies and Stack
• Any other Devops related experience will be considered