Senior Platform Engineer

Staff Platform Software Engineer

EarnIn is seeking a Staff Platform Engineer to lead the strategic design, automa...

Location

India , Bengaluru

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s Degree in Computer Science or equivalent industry experience
7+ years of experience in cloud infrastructure, managing large-scale, high-availability, customer-facing distributed systems
Proven experience mentoring and guiding senior engineers, driving technical decisions, and leading company-wide cloud initiatives
Mastery of public cloud providers, specifically AWS (EKS, DynamoDB, Aurora, Kinesis, etc.)
Strong expertise in containerized microservices running on Kubernetes
Deep knowledge of automation and configuration management tools (Terraform, Ansible)
Expertise on CICD pipelines and tools, including Jenkins, GHA, Argo CD, Spinnaker & FluxCD or similar
Experience with advanced observability tools (DataDog, CloudWatch)
Track record of leading cost optimization / FinOps initiatives, performance tuning, and operational excellence projects
Proven ability to drive cross-functional initiatives with engineering, product, and business teams

Job Responsibility

Serve as a key architect and thought leader in the cloud infrastructure domain, guiding the team on best practices
Mentor and coach senior engineers across the company in advanced cloud operations practices
Provide oversight of hosted Linux and Windows systems, networks, databases, and applications, identifying and solving critical performance, scalability, and stability challenges
Design and develop reusable components and operational strategies to enhance the scalability, performance, and monitoring of cloud systems
Collaborate with other senior engineers to create technical solutions that address company-wide cloud challenges
Lead the establishment and continuous evolution of infrastructure-as-code best practices, driving automation, self-healing, and security standards
Drive operational cost savings through service optimizations, autoscaling strategies, and distributed processing architectures
Collaborate closely with cross-functional teams, including security, engineering, and business teams, to ensure that operational strategies align with company-wide objectives
Provide thought leadership in company-wide initiatives such as observability, automation, and disaster recovery
Continuously evaluate existing tools and processes, lead efforts to socialize, present, and implement enhancements for optimal operational efficiency

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
opportunities to travel to our Mountain View HQ

Fulltime

Senior Site Reliability Engineer

We are seeking an experienced Senior Site Reliability Engineer (L3) to join our ...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
8–10+ years of experience in SRE/DevOps/Cloud Engineering, with deep hands-on exposure to AWS and Kubernetes
Strong hands-on experience with: Terraform & Infrastructure as Code
AWS core services (EKS, IAM, RDS, EC2, VPC, CloudWatch, CloudTrail, GuardDuty)
Jenkins + Groovy, GitHub Actions, ArgoCD, FluxCD
Kubernetes troubleshooting and operations
Prometheus/Grafana/Datadog observability stacks
Proven ability to operate in high-scale, high-uptime, multi-environment production systems
Experience building automation via Python/Bash and reducing operational toil
Strong understanding of incident management, root cause analysis, and reliability engineering principles

Job Responsibility

Design, build, and maintain AWS infrastructure (EKS, VPC, RDS, IAM, CloudWatch, CloudTrail, GuardDuty, Load Balancers, S3, CloudFront) using Terraform and CloudFormation
Lead all aspects of Kubernetes operations including cluster upgrades, performance tuning, CNI troubleshooting, workload scaling, Helm chart packaging, and GitOps deployments
Own and evolve our CI/CD ecosystem across Jenkins (Groovy scripting), GitHub Actions, AWS CodePipeline, ArgoCD, and FluxCD
Improve platform reliability by reducing operational toil through automation, scripting (Python/Bash), and proactive system hardening
Implement and enhance observability across Prometheus, Grafana, Loki, Tempo, Datadog, and CloudWatch—ensuring actionable alerting, dashboards, and metrics alignment with SLO/SLIs
Drive FinOps initiatives, identifying cost inefficiencies and working with engineering teams to implement best practices, tagging standards, budgeting, and resource right-sizing
Manage database operations across MySQL and PostgreSQL including backups, performance tuning, replication, and operational runbooks
Maintain and improve secret management using Vault, AWS Secrets Manager, and Parameter Store
Strengthen cloud security posture with IAM least privilege, CSPM reviews, audit readiness, GuardDuty/CloudTrail monitoring, and environment hardening
Troubleshoot complex production issues across networking, Kubernetes, compute, databases, and CI/CD systems

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Senior Analytics Engineer – Cloud & FinOps

JFrog is seeking a Senior Analytics Engineer – Cloud & FinOps to help drive data...

Location

India , Bangalore

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

Strong SQL and data modeling expertise
Python for data analysis and automation
Experience building data pipelines and ETL/ELT workflows
Strong analytical thinking and problem-solving skills
Experience working with large-scale operational or infrastructure dataset
Experience using AI-assisted development tools such as Cursor, Claude, Copilot, or similar
Experience working with modern data platforms such as: Redshift, BigQuery, Snowflake
Experience with analytics and visualization tools such as: Tableau / Looker / Power BI / QuickSight
Experience working with cloud infrastructure data (AWS, Azure, or GCP)
Familiarity with cloud billing datasets and cost management analytics

Job Responsibility

Analyze cloud cost and usage data across multiple cloud providers to identify cost drivers, trends, and optimization opportunities
Develop analytical frameworks that connect infrastructure usage, operational metrics, and business activity
Support FinOps initiatives by improving visibility into how platform workloads and engineering decisions influence cloud spend
Investigate cloud cost anomalies and infrastructure changes to identify root causes and improvement opportunities
Design and maintain data pipelines and transformations that ingest data from sources such as: cloud billing exports
infrastructure telemetry
operational metrics
internal product and business systems
Build scalable analytics datasets and data models optimized for infrastructure and cost analysis
Ensure data accuracy, consistency, and governance across analytical datasets

New

Senior Software Engineer – Cloud Engineering & FinOps

Work Arrangement: Hybrid: This role is categorized as hybrid. This means the suc...

Location

United States , Austin, Texas; Warren, Michigan

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)
5+ years of hands-on software engineering experience, with a strong focus on building cloud-native applications and platforms
Proficiency in modern programming languages: Next.js (or React) for frontend and Go for backend services
Strong experience with Docker for containerization and Kubernetes for orchestration
Experience designing and building scalable data pipelines, APIs, or backend services in a cloud environment
Solid understanding of cloud fundamentals across at least one major provider (Azure, GCP, AWS), including cost structures, billing concepts, and resource optimization
Demonstrated ability to write clean, maintainable code, conduct code reviews, and participate in technical decision-making
Demonstrated ability to clearly communicate technical and non-technical information verbally and in writing
Strong problem-solving skills with the ability to deliver high-quality features quickly in an agile environment

Job Responsibility

Building FinOps tooling and cloud onboarding experiences that power GM's enterprise-wide cloud transformation
Design, develop, and evolve our in-house Cloud Onboarding and FinOps Portal—a modern platform built with Next.js (frontend) and Go (backend services)
Creating frictionless developer and team experiences by embedding cost awareness, usage optimization, and governance directly into the cloud onboarding and operational workflows
Own key components including: Billing data ingestion pipelines from major cloud providers (Azure, GCP, AWS)
Utilization metrics, cost analytics, and optimization recommendation engines
Cloud onboarding workflows and frictionless, self-service capabilities
Design and build scalable, cloud-native services with speed and quality
Lead technical decision-making and architecture discussions
Conduct code reviews and uphold high engineering standards across the team
Collaborate closely with peer teams to design new features and deliver end-to-end solutions

Fulltime

Shape Entalpic’s cloud-native platform: design scalable data pipelines, secure i...

Location

France , Paris

Salary:

Not provided

Breega

Expiration Date

Until further notice

Requirements

M.S. in Computer Science, Software Engineering, or a related technical field
10+ years of experience in software engineering, with a strong focus on data platforms and cloud infrastructure
You are a "Swiss army knife" software engineer at heart—happy to write code, build systems, and solve problems wherever the need arises
Excellent communication skills in English, with the ability to act as an evangelist for best infrastructure practices across interdisciplinary teams
Thrives in a fast-paced, evolving startup environment
Programming: Excellent industrial software engineering skills in Python and at least one other programming language (e.g., Go, Rust)
Cloud & Infrastructure as Code: Deep expertise managing cloud platforms (GCP preferred) and defining infrastructure via Terraform
DevOps & CI/CD: Strong track record of automating deployment pipelines (GitHub Actions) and introducing containerization to legacy or evolving stacks
Data Systems: Hands-on experience optimizing and scaling both SQL (PostgreSQL) and NoSQL (MongoDB) databases, alongside workflow orchestration tools like Airflow
Containerization & Orchestration Ecosystem: Strong practical experience with Docker and Kubernetes. Familiarity with ML-specific orchestration frameworks (such as Ray or Kubeflow) is highly advantageous

Job Responsibility

Cloud & Platform: Manage and evolve our existing GCP infrastructure using Terraform, proactively challenging the stack for scalability and financial optimization (FinOps)
DevOps & Developer Experience: Consolidate and strengthen our DevOps culture across projects and teams, help design and deploy efficient CI/CD pipelines, enhancing the overall developer experience for the ML and scientific teams
Data Storage & Pipeline Architecture: Design and manage robust infrastructure and tiered data storage to support pipelines handling high-throughput interactions between LLM agents, PostgreSQL, MongoDB, and Airflow
Security & Isolation: Design logical separation for tenant data and compute environments to protect highly sensitive intellectual property, keeping upcoming SOC-2 and ISO 27001 standards in mind
Containerization & Orchestration: Evaluate, introduce, and implement containerization technologies (e.g., Docker, Kubernetes) from the ground up to improve deployment reliability
AI automations: contribute to a culture of AI-driven automations by developing automated workflows, stay up to date with the latest advancements in the field and mentoring within the company across teams, from DevOps to Business needs

What we offer

A competitive salary
Equity (BSPCE), to reflect the value you bring to Entalpic and to foster a shared journey
Comprehensive health insurance (Alan blue)
French level paid leave and time-off work
Dynamic work setting. Although our preference is for in-person collaboration, we will be flexible with occasional remote work arrangements

Sr. Manager- AI Platform Lead

We are developing an Enterprise AI Platform to help all employees build, deploy,...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Engineering, or equivalent practical experience with a total 12-17 years of industry experience
8+ years of engineering experience building/platforming cloud services or developer platforms, with 3+ years leading engineering teams or technical programs
Proven experience designing and operating cloud-native platforms (Kubernetes, containers, microservices, service meshes)
Hands-on experience with LLM serving or model-serving patterns (hosting models, request routing, batching, scaling, latency/cost tradeoffs) — or adjacent experience (large-scale inference endpoints, model CI/CD)
Practical knowledge of API/Gateway patterns, authentication/authorization, and secure integrations
Familiarity with cost attribution and FinOps concepts for compute/AI workloads and toolchains for measuring and controlling model/agent costs
Strong track record working with product managers and senior technical stakeholders to deliver platform capabilities and roadmaps
Excellent communication skills: able to explain technical tradeoffs to technical and non-technical audiences
Experience with observability and SRE practices (metrics, tracing, logging, incident management)

Job Responsibility

Provide technical leadership and clear, pragmatic product-centric architecture for our AI platforms
Translate product and business requirements into scalable platform capabilities (agent hosting, LLM serving, gateway/integration architecture, observability and operations)
Drive platform decisions around LLM serving (model endpoints, caching, batching, latency vs. cost tradeoffs), AI Gateways (routing, policy, rate-limiting, auditing), and agent hosting patterns (single/multi-tenant, sandboxing, lifecycle)
Own platform reliability, scalability and cost: define SLIs/SLOs, capacity planning, cost attribution and FinOps practices
Collaborate with Product Owners, Principal Engineers and stakeholders to define the roadmap, acceptance criteria, and delivery milestones
Lead, coach and grow a high-performing engineering team focused on platform services, integrations (low/no-code tooling such as n8n, and pro-code agent hosting frameworks like AgentCore or equivalents), CI/CD for agents/models, and marketplace features
Establish standards for security, compliance and model governance (data handling, access controls, logging and auditability), particularly for regulated environments
Be hands-on when needed — prototype architectures, review designs, troubleshoot production incidents, and participate in code/design reviews

What we offer

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Fulltime