Job VC
DevOps / Platform Engineer (AWS)
Technologies
Description
About Us
We operate and scale
complex, production infrastructure
supporting multiple platforms across
financial intelligence and media technology
domains.
Our systems are data-heavy, API-driven, and customer-facing, with requirements around reliability, security, and predictable operations. The infrastructure spans multiple environments, services, and workloads, and continues to evolve as the platforms grow.
Role Overview
We are looking for a
DevOps / Platform Engineer
to own and improve AWS infrastructure, deployment pipelines, and operational foundations across our platforms.
This role is about making systems
reliable, observable, secure, and maintainable
without unnecessary complexity. You will work closely with engineering teams to ensure services are easy to deploy, operate, and scale.
What You Will Do
Own and maintain
AWS infrastructure
across multiple platform
Design and operate
CI/CD pipelines
for backend services and frontend deployments
Improve reliability and consistency of deployments and environments
Manage and evolve
infrastructure as code
(Terraform or equivalent)
Set up and maintain monitoring, logging, and alerting
Support and operate long-running Node.js services, with limited use of serverless functions (AWS Lambda)
Support backend services with scaling, networking, and secrets management
Manage environments (dev, staging, production) and access controls
Partner with engineers to improve service operability and deployment hygiene
Identify and reduce operational risk (security, cost, availability)
Assist with incident response and root-cause analysis when needed
Support containerized workloads and services running on AWS
Operate and optimize Docker-based deployments
Focus on cloud cost optimization, including compute sizing and utilization, storage and data transfer costs, observability-driven cost insights
Support data infrastructure decisions and operations, including data lifecycle management and retention
Reliability and scaling of data-heavy workloads
Partner with engineering teams to improve efficiency of data ingestion and processing pipelines
What You Will Not Be Doing
No people management
No over-engineered internal platforms
No unnecessary process overhead
Focus is on outcomes and reliability.
Required Skills & Experience
5+ years of experience
in DevOps, Platform, or Infrastructure roles
Strong, hands-on experience operating
AWS-based infrastructure
in production
Experience supporting
API-driven, customer-facing systems
Solid experience with Docker and containerized workloads
Experience building and maintaining
CI/CD pipelines
for backend and frontend services
Strong experience with
Infrastructure as Code
(Terraform preferred)
Proven ability to manage and optimize:
Compute resources
Storage
Networking
Environment separation (dev, staging, production)
Experience with
cloud cost optimization
, including:
Resource sizing and utilization
Cost monitoring and analysis
Identifying and reducing unnecessary spend
Experience supporting
data-heavy systems
, including:
Operating managed databases in AWS
Data reliability, scaling, and lifecycle considerations
Strong understanding of:
Linux systems
Networking fundamentals
Security and access control (IAM, secrets management)
Comfortable operating in
early-stage, evolving environments
with limited process
Nice to Have
Experience supporting data-heavy or analytics platforms
Experience operating PostgreSQL in production
Familiarity with Docker and containerized workloads
Experience with monitoring and observability tooling
Security-first mindset
Experience supporting multiple products or teams
What Success Looks Like in the First 90 Days
Clear understanding of platforms infrastructure and deployment flows
More predictable, lower-stress deployments
Improved visibility into system health
Reduced operational and security risk
Engineering teams trust and rely on the platform
We operate and scale
complex, production infrastructure
supporting multiple platforms across
financial intelligence and media technology
domains.
Our systems are data-heavy, API-driven, and customer-facing, with requirements around reliability, security, and predictable operations. The infrastructure spans multiple environments, services, and workloads, and continues to evolve as the platforms grow.
Role Overview
We are looking for a
DevOps / Platform Engineer
to own and improve AWS infrastructure, deployment pipelines, and operational foundations across our platforms.
This role is about making systems
reliable, observable, secure, and maintainable
without unnecessary complexity. You will work closely with engineering teams to ensure services are easy to deploy, operate, and scale.
What You Will Do
Own and maintain
AWS infrastructure
across multiple platform
Design and operate
CI/CD pipelines
for backend services and frontend deployments
Improve reliability and consistency of deployments and environments
Manage and evolve
infrastructure as code
(Terraform or equivalent)
Set up and maintain monitoring, logging, and alerting
Support and operate long-running Node.js services, with limited use of serverless functions (AWS Lambda)
Support backend services with scaling, networking, and secrets management
Manage environments (dev, staging, production) and access controls
Partner with engineers to improve service operability and deployment hygiene
Identify and reduce operational risk (security, cost, availability)
Assist with incident response and root-cause analysis when needed
Support containerized workloads and services running on AWS
Operate and optimize Docker-based deployments
Focus on cloud cost optimization, including compute sizing and utilization, storage and data transfer costs, observability-driven cost insights
Support data infrastructure decisions and operations, including data lifecycle management and retention
Reliability and scaling of data-heavy workloads
Partner with engineering teams to improve efficiency of data ingestion and processing pipelines
What You Will Not Be Doing
No people management
No over-engineered internal platforms
No unnecessary process overhead
Focus is on outcomes and reliability.
Required Skills & Experience
5+ years of experience
in DevOps, Platform, or Infrastructure roles
Strong, hands-on experience operating
AWS-based infrastructure
in production
Experience supporting
API-driven, customer-facing systems
Solid experience with Docker and containerized workloads
Experience building and maintaining
CI/CD pipelines
for backend and frontend services
Strong experience with
Infrastructure as Code
(Terraform preferred)
Proven ability to manage and optimize:
Compute resources
Storage
Networking
Environment separation (dev, staging, production)
Experience with
cloud cost optimization
, including:
Resource sizing and utilization
Cost monitoring and analysis
Identifying and reducing unnecessary spend
Experience supporting
data-heavy systems
, including:
Operating managed databases in AWS
Data reliability, scaling, and lifecycle considerations
Strong understanding of:
Linux systems
Networking fundamentals
Security and access control (IAM, secrets management)
Comfortable operating in
early-stage, evolving environments
with limited process
Nice to Have
Experience supporting data-heavy or analytics platforms
Experience operating PostgreSQL in production
Familiarity with Docker and containerized workloads
Experience with monitoring and observability tooling
Security-first mindset
Experience supporting multiple products or teams
What Success Looks Like in the First 90 Days
Clear understanding of platforms infrastructure and deployment flows
More predictable, lower-stress deployments
Improved visibility into system health
Reduced operational and security risk
Engineering teams trust and rely on the platform