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Senior Platform & Site Reliability Engineer

Location: Remote Employment Type: Contract

The Role

This role carries full architectural and operational ownership of the platform layer across a growing SaaS portfolio. The Cloud Architect owns AWS infrastructure standards — VPCs, account structures, networking, and compute design. Everything outside that lane is yours: the CI/CD platform, the observability and reliability stack, the event streaming infrastructure, the deployment pipelines, and the incident engineering model.

Architectural decisions are yours to make and defend, standards are yours to define and enforce, and the reliability of 20+ enterprise SaaS products depends on what you and your team build.

This is an AI-native engineering organisation. Where it is practical and safe to do so, you are expected to use automation and AI-assisted tooling to reduce toil — in CI/CD triage, infrastructure provisioning, observability workflows, and acquisition onboarding. The expectation is not to replace engineering judgement with automation, but to free it up for the problems that genuinely require it.

The Scale You Will Operate At

The portfolio consists of 20+ live, enterprise-grade SaaS solutions running concurrently. Each product serves enterprise customers and processes millions to billions of real-time requests. The architecture is serious: event streaming for real-time data pipelines, batch processing workloads running alongside live transaction flows, and multi-tenant enterprise-grade reliability expectations across every product.

You will design and operate the platform infrastructure that underpins all of it — scaling horizontally as each new acquisition joins the portfolio, without proportionally scaling cost, complexity, or headcount.

What You Will Own

Platform Architecture

• Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure
• Define, build, and enforce platform standards across portfolio products
• Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed
• Self-service developer platform so product teams ship without waiting on platform

Event Streaming & Pipeline Infrastructure

• Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines
• Design and maintain batch processing infrastructure alongside live event flows
• Ensure pipeline reliability, throughput, and cost are actively managed at scale

CI/CD & Deployment

• Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products
• Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures
• Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified

Observability & Reliability

• Own the full observability stack: Grafana, Prometheus, and Loki across all products
• SLOs and error budgets defined per product; reliability tracked consistently
• Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen
• Incident response: on-call design, escalation playbooks, post-mortem facilitation
• Automated remediation scoped to safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns; novel or ambiguous failures escalate to a human with full context attached

Acquisition Onboarding

• Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture
• Migration plan and execution for each portfolio company joining the platform — sequenced to avoid disrupting live operations
• Target: full platform integration within a defined window per acquisition

A Note on Automation

Where automation is safe and failure modes are well understood — routine provisioning, known CI/CD failure classes, secrets rotation, cost anomaly flagging — aggressive automation is expected. Where automation would act on ambiguous signals or carry significant blast radius, human judgement stays in the loop. The goal is to reduce toil on solved problems, not to automate decisions that require engineering expertise.

Platform Stack

Area Stack / Standard IaC Terraform OSS / OpenTofu CI/CD GitHub Actions Event Streaming Architecture and tooling chosen for the workload Observability Grafana, Prometheus, Loki Log Management AWS CloudWatch, Grafana Loki Incident Management OpsGenie (startup tier) or Better Uptime Secrets AWS Secrets Manager / HashiCorp Vault OSS Containers ECS (default), EKS only where justified Cost Monitoring AWS Cost Explorer with custom dashboards What We’re Looking For

• 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time
• Strong Terraform depth across multi-environment, multi-account setups
• CI/CD ownership across a multi-product environment with GitHub Actions
• Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management
• Hands-on Grafana, Prometheus, and Loki in production
• AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture
• Acquisition or greenfield platform integration experience strongly preferred

How You Work

• Comfortable operating across multiple products simultaneously — context-switching without dropping standards
• Cost-efficiency instinct — you optimise spend as a habit, not as a project
• You treat automation as a tool for eliminating toil, not a substitute for engineering judgement
• You document decisions, enforce standards through code, and build platforms that other engineers find intuitive to use

Why This Role

The platform function is being built from the ground up. You will have architectural ownership of the entire non-AWS platform layer across a growing portfolio of enterprise SaaS products, with the freedom — and responsibility — to build the reliability and delivery culture of the organisation.

This is not a role that inherits someone else’s decisions and maintains them. Every major architectural choice is still to be made. If you want to build something that lasts and that other engineers depend on, this is the role.

Summary:

Data Engineer/Analytics Engineer with experience in semantic layer modeling using AtScale, building scalable data pipelines, and delivering high-performance analytics solutions on cloud platforms.

⸻

 Responsibilities

• Build and maintain ETL/ELT pipelines for large-scale data

• Develop semantic models, cubes, and metrics in AtScale

• Optimize query performance and BI dashboards

• Integrate data platforms (Snowflake, Databricks, BigQuery)

• Collaborate with analysts and business teams

⸻

 Skills

• SQL, Python/Scala

• Data modeling (star schema, OLAP)

• AtScale (semantic layer)

• Spark, dbt, Airflow

• BI tools (Tableau, Power BI, Looker)

• AWS / GCP / Azure

⸻

 Experience

• 3–8+ years in data/analytics engineering

• Experience with enterprise data platforms and BI systems

We are seeking a seasoned Engineering Lead with deep expertise in workflow orchestration systems, stateful execution engines, and distributed task runtimes. You will architect the next generation of our DAG-based runtime, develop the infrastructure for agentic workflow composition, and drive execution excellence across engineering. This role combines hands-on systems design with technical leadership and team mentorship.

Key Responsibilities

1. Architect & Build the Swarm Runtime

• Design and implement a DAG-based orchestration engine using Temporal, Argo Workflows, or equivalent event-driven runtimes.
• Build a scalable primitive registry for tasks, operators, guards, and computational nodes.
• Architect a robust scheduler capable of handling event triggers, retries, backoffs, and distributed coordination.

2. Develop the Workflow Composition Layer

• Define and build a YAML/JSON-based DSL for describing agentic workflows, dependencies, and execution semantics.
• Create a schema-driven rules engine ensuring validations, model calls, parallelism, conditional branching, and approval gates are seamlessly integrated.

3. Orchestration Logic & Runtime Intelligence

• Implement orchestration logic that coordinates:
• Validation layers
• Model calls (LLMs, embedding engines, external APIs)
• Human-in-the-loop approval gates
• Stateful transitions and checkpointing
• Ensure deterministic execution, traceability, and safe rollback mechanisms.

4. Workflow Certification & Automated Testing

• Define certification standards for every workflow type, including:
• Functional correctness
• Latency and concurrency thresholds
• Error-handling expectations
• Observability and trace coverage
• Build automated regression test suites validating workflow integrity before deployment.

5. Engineering Leadership & Delivery

• Lead, mentor, and grow a team of backend and systems engineers.
• Drive sprint planning, reviews, engineering discipline, and roadmap execution.
• Own runtime delivery deadlines, cross-team coordination, and release quality.

6. Observability, Reliability & Production Excellence

• Instrument the runtime with observability hooks: metrics, tracing, structured logs, and execution heatmaps.
• Build robust retry logic, distributed locks, idempotency guards, and failover strategies.
• Improve runtime stability, throughput, and scale characteristics.

Requirements

Must-Have

• 8+ years of backend engineering experience building high-scale systems.
• 3+ years leading teams focused on workflows, automation, orchestration, or distributed runtimes.
• Deep understanding of:
• Stateful orchestration engines (Temporal, Step Functions, Argo, Airflow)
• Message queues, pub/sub systems, and event-driven patterns
• Retry logic, compensating transactions, and idempotent operations
• Distributed tracing, observability pipelines, and health checks
• Strong background in concurrent programming, async task management, and execution models.
• Hands-on experience with at least one systems language or backend stack (Python, Go, Rust, Node).

Nice-to-Have

• Experience building workflow DSLs or schema-driven interpreters.
• Familiarity with LLM pipelines, agentic runtimes, or AI-driven workflow automation.
• Knowledge of Kubernetes-based runtime environments and workflow controllers.
• Experience with pluggable architecture design, sandboxing, or execution policies.

What This Role Offers

• Ownership of the core execution engine powering Perceive Now’s intelligent automation platform.
• A high-impact leadership position shaping architectural strategy and engineering culture.
• The opportunity to solve cutting-edge problems at the intersection of orchestration, distributed systems, and AI.

Role and Responsibilities 

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.  

• • Developing new user-facing features using React.js 
• • Building reusable components and front-end libraries for future use 
• • Translating designs and wireframes into high quality code 

• • Optimizing components for maximum performance across a vast array of web-capable devices and browsers. 
• • Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model 
• • Thorough understanding of React.js and its core principles 
• • Experience with popular React.js workflows (such as Flux or Redux). 
• • Experience in Bootstrap framework.  

• • Familiarity with newer specifications of ECMAScript 
• • Familiarity with RESTful APIs 
• • Knowledge of modern authorization mechanisms, such as JSON Web Token 
• • Familiarity with modern front-end build pipelines and tools 
• • Experience with common front-end development tools such as NPM, YARN etc. 

• • Ability to understand business requirements and translate them into technical requirements 
• • A knack for benchmarking and optimization 
• • Familiarity with code versioning tools Azure Devops. 
• • Experience in IDE such as VS code \ VS. 

• Experience – 10 - 14 years 

• Qualification – Any graduate  

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

What we are looking for:

-         Service Manager managing a team providing L1, L2 support for multiple applications

-         Should be able to work in China hours as and when required

-         6-7 years of experience in a support role

-         2+ years’ experience in Prior experience in supervisory role 

-         Manage shift rosters, escalations

-         Responsible for standing up and running the support team

-         Managing the customer support department’s day-to-day functions.

-         Ensuring that all processes used by the service desk are thoroughly documented, consistently audited, and regularly improved.

-         Assigning tasks to support team members each day that are based on SLAs, technician availability, and the technician’s skills.

-         High level knowledge of the Data Engineering space having supported data stores, data pipelines, and downstream reporting applications is desirable

-         Periodic reporting to stakeholders

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers!

Requirements

• Bachelor's degree in English Literature, Journalism, Mass Communication or Liberal Arts
• Excellent command over spoken and written English communication
• 2 to 3 years of professional writing experience
• Great time management & task management skills
• Exceptional primary and secondary research skills
• Comfortable with working in an agile environment
• Comfortable with or open to learning how to use tools such as WordPress, Google Analytics, SEMRush, Zoho PageSense, and Microsoft Office
• Conduct research to find new and engaging content via search engines, social media platforms, authoritative websites, content generation tools, etc.
• Create content for articles, web pages, infographics, e-books, white papers, and other marketing material related to our language services and the industry
• Ensure all content is as per the brand's guidelines, including brand tone, content structure, formatting, etc.
• Write regular articles specific to language services for the company's blog and on behalf of the company for various other credible platforms
• Possess basic knowledge of blog publishing on WordPress
• Collaborate with the design team for producing visually-engaging content
• Create compelling ad copies for marketing
• Work within set deadlines and produce content accordingly
• Show a passion for SEO and current trends but with expertise in writing for people, rather than machines