Location: Hybrid (Local to NYC area)

About the team

The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.

Position Summary:

We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Senior Platform Developer II to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.

You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.

Position Responsibilities:

• Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure
• Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
• Write clean, efficient, and well-tested Python code for automation, tooling and service development.
• Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
• Administer and finetune container orchestration platforms such EKS and ECS.
• Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
• Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
• Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
• Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
• Participate in on-call rotations to provide operational support and incident response.
• Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• Mentor junior developers and contribute to a culture of technical excellence and continuous improvement.
• Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
• Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
• Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.
• Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

Requirements

• 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Deep expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
• Excellent proficiency with Terraform, Python, SQL, and automation tooling.
• Extensive experience with Docker and container orchestration (Kubernetes/EKS).
• Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
• Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
• Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
• Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
• Background in building highly scalable, performant SaaS platforms.
• Excellent communication, collaboration and problem-solving skills.
• Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
• Strong experience in production on call rotations and responding to alerts.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7494

#LI-Remote

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Position Summary: 

We are seeking a skilled and passionate Scrum Master to support the development teams in applying agile practices effectively, with a focus on the Scrum framework. This role will foster a culture of continuous improvement, collaboration, and transparency, while guiding teams through agile maturity and delivering high-quality outcomes. 

Position Responsibilities: 

Agile Coaching & Facilitation 

• Facilitate Scrum events and coach teams to self-organize and continuously improve. 
• Design and lead retrospectives tailored to team needs. 
• Conduct quarterly team health checks and maturity assessments. 
• Guide teams in applying lean and agile principles to improve delivery. 

Team & Stakeholder Engagement 

• Foster collaboration between Scrum Teams and stakeholders. 
• Mediate conflicts and support team dynamics to ensure a healthy team environment. 
• Support onboarding and agile adoption for new team members and teams. 

Process Improvement & Metrics 

• Identify and remove impediments to team progress. 
• Leverage empirical data to drive continuous improvement. 
• Prepare and present sprint reports including velocity, capacity, and predictability metrics. 
• Build and maintain workflows and automation to enhance team efficiency. 

Product & Planning Support 

• Collaborate with product teams on backlog management, coaching on prioritization best practices.
• Assist in roadmap development and release forecasting using agile metrics.
• Promote best practices in lean, iterative software delivery.
• Build foundational product knowledge to provide targeted coaching and help bridge gaps between teams working on related features.

• Tracks quarterly goals for team(s)

A Successful Contributor has: 

• Practical experience with multiple agile frameworks and their effective application. 
• Strong facilitation and conflict resolution skills. 
• Experience teaching and mentoring on Scrum and agile principles. 
• Understanding of business strategy techniques like Lean Startup, MVP vs MMF / MMP, and Prioritization Matrices.
• Experience with forecasting and release planning using agile metrics. 
• Knowledge of CI/CD and emergent architecture in iterative development. 
• Ability to build simple automations in Jira, and Slack to support Scrum practices. Familiarity with Github Actions is a plus.
• Strong communication skills grounded in commitment, courage, focus, openness, and respect. 

Qualifications: 

• Bachelor’s Degree in business, information technology, or 3 years’ work experience in related field required. 
• 3 years working in Scrum Master role or on a Scrum Team. 
• Certified Scrum Master (CSM) or equivalent certification preferred. 

YOUR MISSION

Software is the central nervous system for True Anomaly’s engineering and product thesis. Software bridges the gap between military objectives, theoretical astrodynamics and the human and autonomous control of spacecraft and ground systems in time and space. True Anomaly is seeking a highly experienced Site Reliability Engineer to contribute to the continuing evolution of our complex spacecraft modeling and simulation software.  

You do not need to have experience building space ground systems or experience in aerospace. You’ll have ownership of challenging, greenfield problems and a chance to fundamentally impact the outcome of future conflict (and the future of the company), all while enjoying world-class benefits including platinum healthcare, flexible work hours/location, highly competitive compensation and a generous stock options package.  

RESPONSIBILITIES

• Establish and sustain continuous integration and deployment processes utilizing CI/CD tools to streamline and mature development workflows
• Oversee the deployment, scaling and management of applications using Kubernetes ensuring optimal architecture and functionality while also keeping cost as a factor
• Design and manage cloud-based solutions, primarily on Azure, while also being adept with other cloud platforms while upholding security standards and maturing cloud infrastructure
• Utilize Terraform for the provisioning and management of cloud resources through usage of modules and state management
• Work closely with security teams to fortify the security of our infrastructure and applying security principles that adhere to compliance standards. We embrace being proactive rather than being reactive
• Implement and oversee monitoring and logging solutions 
• Assist software development teams by troubleshooting, optimizing performance and applying software deployment best practices ensuring mission success
• Deploy our application into challenging environments while working with the customer to ensure a smooth deployment representing True Anomaly with confidence
• Responsible for actively engaging in problem-solving, with a focus on practical involvement at both the design and debugging stages
• Enhancing and building Docker images to support a production flight environment securely
• Experimenting with the latest development tools to see if they meet the needs of our team  

QUALIFICATIONS

• Bachelor’s degree or equivalent experience
• 6 years of DevOps and cloud experience  
• Experience with any flavor of Linux
• Experiences with containers and container orchestration  
• Experience in setting up and maintaining continuous integration and continuous deployment pipelines with tools such as GitHub Actions
• Experience setting up and administrating monitoring tools like with Prometheus, Grafana, Loki, etc.
• Production experience building and maintaining cloud infrastructure
• Strong understanding of Kubernetes, specifically AKS and Helm
• Strong understanding of terraform use cases and best practices
• Experience setting up production grade networking with hybrid clouds
• Intimate knowledge of certain protocols such as TCP, HTTP(S), etc.
• Experience with any scripting language (Bash, Python, etc)
• Azure, AWS or GCP cloud certification
• Security and compliance understanding in a DevOps context   

PREFERRED SKILLS AND EXPERIENCE

• Experience in GovCloud environments (Bonus for Azure)
• Experience in the Space, Defense, or similar industry
• Experience going through DoD compliance certifications like CMMC or FedRamp
• Understands the balance and tension between moving quickly at a startup and building a mature flight environment 

COMPENSATION

• Base Salary: $135,000 - $230,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—This is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below.

#LI-Onsite

The Role

Ping Identity is seeking a technically strong, hands-on AI Automation Engineer to join the Data & AI team within the Office of the CIO. This is a builder role — you won't just configure platforms, you'll write code, design custom agent architectures, and deliver production-grade AI automation that drives measurable business impact across the enterprise.

As our second AI Automation Engineer, you'll work alongside our existing AI Automation Engineer and report to the Director of AI & Data. Where the first hire focuses on business process design and low-code/no-code delivery, you will own the programmatic side of our agent stack — building custom agents in Databricks, developing integrations and connectors, and tackling automation challenges that require real engineering depth.

This role is for someone who is equally comfortable in a Jupyter notebook and a stakeholder meeting — someone who can translate a complex business problem into a working, governed solution.

What You'll Do

• Build and deploy custom AI agents using Python and Databricks, including complex, multi-step agents that go beyond what low-code platforms can handle.
• Design and implement integrations between Glean, Databricks, and enterprise systems (Salesforce, Jira, Freshservice, etc.) — including custom connectors and data pipelines that feed our AI stack.
• Own the technical delivery of high-code agent use cases in our AI operating model — from requirements through deployment, monitoring, and iteration.
• Collaborate with the AI Automation Engineer (business-focused) to divide and conquer the agent backlog: they own the canvas/low-code layer, you own the programmatic layer.
• Partner with data engineers to ensure agents have access to clean, reliable, well-governed data via Databricks Unity Catalog and our lakehouse architecture.
• Support the agent governance process — writing technical specs, participating in governance reviews, and ensuring custom agents meet security, PII, and compliance requirements before production deployment.
• Contribute to the agent framework and tooling used by the broader AI team — prompt templates, evaluation harnesses, reusable agent components, and CI/CD pipelines for agent deployment.
• Triage and resolve technical escalations from the AI platform support queue that require engineering-level investigation.

What You'll Bring

• 3–5 years of hands-on software engineering or data engineering experience, with a track record of delivering production systems — not just prototypes.
• Proficiency in Python — you write clean, maintainable code, are comfortable working in data and AI engineering contexts, and actively use coding assistants (e.g., GitHub Copilot, Cursor, or similar) as part of your development workflow.
• Experience building on Databricks — specifically with AgentBricks and building custom agents on the Databricks platform. You know your way around notebooks, Delta Lake, and production-grade agent deployment.
• Demonstrated proficiency in building AI agents — you've designed, built, and shipped production agents (Glean canvas, LangChain, LlamaIndex, or similar), and you understand the engineering tradeoffs involved (retrieval, tool use, evaluation, latency, cost). This is a core expectation of the role, not a nice-to-have.
• Proficiency with agentic coding frameworks (e.g., DSPy, LangChain, CrewAI, or similar) — you've used these in production contexts, not just tutorials, and know how to evaluate the right tool for the job.
• Familiarity with agent tracing and monitoring concepts — you understand how to observe agent behavior in production (e.g., trace logs, token usage, latency, failure modes) and know why it matters for reliability and governance.
• API and integration experience — you can read API docs, build connectors, and wire systems together without hand-holding.
• Strong communication skills — you can explain technical architecture to non-technical stakeholders and write documentation people actually use.
• Collaborative and cross-functional — comfortable working across IT, data, and business teams in a fast-moving environment.

You Have an Advantage If

• You've played a hands-on technical role in top-down, enterprise AI transformation initiatives — where the work was tied to clear business outcomes, P&L targets, or measurable productivity gains, not just engineering deliverables.
• You have hands-on experience with Glean — building agents, configuring connectors, or working with the Glean API.
• You've built production-grade agentic workflows incorporating RAG, tool use, orchestration layers (LangGraph, CrewAI, custom), or multi-agent patterns.
• You have experience with Salesforce integrations or have built agents that take actions inside enterprise SaaS platforms.
• You're familiar with MLOps or LLMOps practices — model evaluation, prompt versioning, observability, and deployment pipelines.
• You have a background in data engineering and are comfortable with SQL, Delta tables, and Unity Catalog governance patterns.
• You've contributed to AI governance or responsible AI programs — specifically around agent safety, PII handling, and access control.
• You've worked in a B2B SaaS or enterprise software environment and understand how to build solutions that are supportable at scale.

Base Salary Range: $130,766 - $150,000

In accordance with Colorado's Equal Pay for Equal Work Act (SB 19-085), the approximate compensation range for this role in Colorado is listed above. Final compensation will be determined by various factors, such as knowledge, skills, and abilities.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the role 

At Evio, we are building solutions that improve how pharmacy works—and ultimately, how patients experience care. Our application-based digital solutions are central to that mission. 

We’re looking for a Senior Full Stack Engineer who wants to build reliable systems that bring these solutions to life. The Senior Full Stack Engineer will be responsible for designing, developing, and supporting scalable, cloud-native applications. This role owns the technical design and evolution of our applications, working across the full stack, from intuitive user interfaces to resilient backend services and cloud-native infrastructure.  

This is a hands-on role for someone who enjoys both building and shaping systems, and who wants to play a meaningful role in a growing, mission-driven team.  

What you’ll do  

• Design, develop, and maintain cloud-native applications on AWS using serverless and container-based architectures 
• Build full stack features, including user interfaces and backend services 
• Develop and support containerized services running on ECS/Fargate with images stored in ECR 
• Implement and maintain CI/CD pipelines using GitHub Actions 
• Own the architecture and technical direction of a new cloud-native application  
• Lead design decisions across services, REST APIs, and data pipelines 
• Design and implement data pipelines and workflows using AWS Glue (PySpark) and Step Functions 
• Ensure the application is scalable, secure, and reliable in a regulated (HIPAA) environment 
• Collaborate with cross-functional teams including product, design, and engineering 
• Provide mentorship and technical guidance to team members 

 Qualifications 

• Bachelor’s degree in computer science, engineering, or related field (or equivalent experience) 
• 7+ years of software engineering experience 
• Experience building cloud-native applications using AWS 
• Strong frontend development experience with React and TypeScript 
• Backend experience with Python and REST APIs 
• Experience with distributed systems, event-driven architecture, or data pipelines 
• Strong understanding of relational databases and SQL 
• Experience contributing to system design and architecture decisions 
• Strong problem-solving and communication skills across teams and levels  
• Someone who takes initiative, unearths problems, and leads with solutions  
• Ability to navigate ambiguity and drive clarity in complex problem spaces  
• Ownership mindset with a focus on delivering measurable outcomes   
• Strong product and business awareness when making technical decisions  
• Comfortable giving and receiving constructive feedback  
• Pragmatic approach to balancing speed, quality, and technical debt 
•  Experience in healthcare, pharmacy, or regulated environments 
• Knowledge of HIPAA and PHI requirements 
• Experience with Apache Iceberg or modern data lake technologies 
• AWS certifications 

 Technology Stack 

• Frontend - React.js, TypeScript, Vite - Material UI, Redux Toolkit, React Router - styled-components 
• Backend & Services - Python (primary), Node.js (as needed) - REST APIs, microservices - AWS Lambda, AWS Step Functions - AWS Glue (PySpark) 
• Cloud & Infrastructure - AWS (Lambda, API Gateway, ECS, Fargate, ECR) 
• Data Platform - Amazon S3, Amazon Redshift - Apache Iceberg 
• DevOps & Tooling - GitHub Actions - Infrastructure-as-Code (CDK, Terraform, or similar)

Compensation: $155,000 - $170,000 plus additional variable compensation based on performance.

At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission, and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire.   

Evio Benefits

• Great Health Insurance
  The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
• 401K Match
  Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits.
• Time Off
  We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
• Parental Leave
  Generous paid leave for new parents (includes birth and non-birth parents).

Evio values a diverse workplace and is committed to supporting and celebrating the diversity that each teammate brings to the table. We are proud to provide equal employment opportunities to all teammates and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.   

GitHub Platform Consultant

Key Responsibilities

Skills, Knowledge and Expertise

Benefits

Platform Engineer, Windows Infrastructure

Location: Denver, CO (Hybrid), San Antonio, TX (Hybrid), Brooklyn, NY  or Remote (US Based) 

About the Role:

As a Platform Engineer, Windows Infrastructure, you will play a critical role in building and maintaining the Windows-based infrastructure that underpins Simplesense’s operational platform helping to secure critical infrastructure. You will support the implementation, automation, and ongoing improvement of Windows domain infrastructure and partner closely with the Platform, Security, and Operations teams to ensure our systems remain resilient, secure, and mission-ready.

Work Model: We prioritize candidates in the Denver, CO, San Antonio, TX, and Brooklyn, NY area, but are open to remote talent.

• Locals: 2 days/week onsite.
• Remote: Quarterly travel for team meetings.

What Success Looks Like: 

• 30 Days: Onboard into the platform environment, gain familiarity with Windows infrastructure, IaC workflows, and internal tools.
• 60 Days: Develop and deploy Windows automation scripts and infrastructure updates and begin contributing to tasks following the development workflow.
• 90 Days: Take ownership of small- to medium-sized infrastructure tasks, contribute to system reliability and automation efforts, and collaborate cross-functionally to support operations and platform enhancements.

What You’ll Do

• Implement Infrastructure-as-Code solutions:
  Deploy features, fixes, and updates to Windows infrastructure using infrastructure-as-code (IaC) practices, ensuring reliability, performance, and security.
• Automate Windows environments and processes:
  Develop, test, and maintain automations for system configuration, deployments, and operational workflows, including CI/CD pipelines.
• Collaborate across teams to improve systems:
  Partner with Platform, Security, and Operations teams to troubleshoot issues, integrate new assets, and continuously improve system performance and resilience.
• Contribute to technical delivery and growth:
  Actively participate in code reviews, follow engineering best practices, and contribute to solving technical challenges while continuing to build your skillset.

What You Bring

Required Qualifications:

Experience:
3+ years of experience using software development and Infrastructure-as-Code practices to manage Windows infrastructure.

Technical Skills:

• Strong experience with self-hosted Windows Server environments, including Active Directory, Group Policy, and system performance tuning
• Proficiency in PowerShell scripting for automation (modules, system configuration, networking, services)
• Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, Azure DevOps)
• Familiarity with version control (Git) and infrastructure deployment workflows
• Experience with monitoring and logging tools, including analyzing Windows Event Logs and system metrics

Familiarity with AWS infrastructure tools (e.g., CloudFormation, Systems Manager)

• Domain Knowledge: Understanding of secure system configuration, automation best practices, and infrastructure reliability in mission-critical or regulated environments.
• Travel: Quarterly travel required for team planning and collaboration.

Clearance & Eligibility:

• Must be a U.S. Citizen
• Must be able to obtain a DoD NIPR network account and Common Access Card (CAC)
• Must have, or be able to obtain, a Secret Clearance
• Security relevant certification (e.g., CompTIA Security+, Cloud+) or willingness to obtain

Preferred Qualifications:

• Based in Denver, CO, San Antonio, TX, or Brooklyn, NY
• Experience working within DoD, Air Force, or Federal contractor environments
• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience)
• AWS certification (e.g., AWS Certified Cloud Practitioner)
• Experience with PowerShell DSC
• Experience using Ansible for Windows configuration and automation
• Hands-on experience with Windows domain administration
  
  

Our Culture

At Simplesense, we value high-trust autonomy. We look for people who can navigate ambiguity and are driven by the mission.

• Safety & Innovation: You embed security and reliability practices into daily work to drive continuous improvement and mitigate risk.
• People & Communication: You invite vigorous debate and offer "kindly blunt" feedback, always maintaining empathy and assuming noble intent.
• Integrity & Ethics: You build trust by honoring commitments, acting ethically, and resolving conflict through direct, honest communication.
• Strategic Problem Solving: You focus on high-priority issues to create documented, and scalable solutions—avoiding shortcuts.
• Agility: You move quickly to fix small problems, learn from the past, and pivot transparently when the mission requires it.

Compensation and Benefits

Pay Range: $115k-$145k per year. Compensation is determined based on experience, skill level, and location. We review ranges regularly to ensure market competitiveness.

Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo’s overall security posture. 

How you will make a difference:

• Build systems that facilitate security observability for detection and response 
• Develop AI-first security systems to automate detection and response operations
• Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.
• Develop high-fidelity rule-based and/or ML-based detections as code
• Respond to security alerts, cyber threats, and security incidents 
• Drive end-to-end incident response investigations  
• Automate and codify detection and response workflows and processes
• Conduct ad-hoc threat hunts and be an active member of D&R on-call rotations 

We’d love to hear from you if you have:

• 5+ years of experience in software, security, and/or data engineering 
• Automation-first and AI-first approach for all work performed
• Experience with centralized logging, data lakes, and SIEM solutions
• Familiarity with large-scale data pipelines and data engineering techniques 
• Proficient in programming languages to automate / build (e.g., Python, Go or similar)
• Proven experience with git/GitHub and CI/CD automations 
• Familiarity with tactics, techniques, and procedures used by threat actors
• Experience being part of detection and response or incident response on-call 
• Strong passion for continuous learning and staying updated on evolving technology 
• Strong oral and written communication skills
• Team player with a strong, self-managing work ethic

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Role Summary

Klaviyo is seeking a Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action.

You will operate as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams.

What You’ll Do

• Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration
• Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value
• Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion
• Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes
• Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes
• Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices
• Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior
• Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity
• Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration
• Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability
• Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholders

What We’re Looking For

• 5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred)
• Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models
• Strong hands-on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research
• Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures
• Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus
• Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams
• Experience operating as a technical program manager for analytics or data initiatives
• Strong communication skills and comfort partnering with senior, non-technical stakeholders
• High standards for analytical rigor, QA, documentation, and system reliability
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. 

#LI-Abbey

#LI-hybrid

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo’s overall security posture. 

How you will make a difference:

• Build systems that facilitate security observability for detection and response 
• Develop AI-first security systems to automate detection and response operations
• Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.
• Develop high-fidelity rule-based and/or ML-based detections as code
• Respond to security alerts, cyber threats, and security incidents 
• Drive end-to-end incident response investigations  
• Automate and codify detection and response workflows and processes
• Conduct ad-hoc threat hunts and be an active member of D&R on-call rotations 

We’d love to hear from you if you have:

• 5+ years of experience in software, security, and/or data engineering 
• Automation-first and AI-first approach for all work performed
• Experience with centralized logging, data lakes, and SIEM solutions
• Familiarity with large-scale data pipelines and data engineering techniques 
• Proficient in programming languages to automate / build (e.g., Python, Go or similar)
• Proven experience with git/GitHub and CI/CD automations 
• Familiarity with tactics, techniques, and procedures used by threat actors
• Experience being part of detection and response or incident response on-call 
• Strong passion for continuous learning and staying updated on evolving technology 
• Strong oral and written communication skills
• Team player with a strong, self-managing work ethic

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo’s overall security posture. 

How you will make a difference:

• Build systems that facilitate security observability for detection and response 
• Develop AI-first security systems to automate detection and response operations
• Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.
• Develop high-fidelity rule-based and/or ML-based detections as code
• Respond to security alerts, cyber threats, and security incidents 
• Drive end-to-end incident response investigations  
• Automate and codify detection and response workflows and processes
• Conduct ad-hoc threat hunts and be an active member of D&R on-call rotations 

We’d love to hear from you if you have:

• 5+ years of experience in software, security, and/or data engineering 
• Automation-first and AI-first approach for all work performed
• Experience with centralized logging, data lakes, and SIEM solutions
• Familiarity with large-scale data pipelines and data engineering techniques 
• Proficient in programming languages to automate / build (e.g., Python, Go or similar)
• Proven experience with git/GitHub and CI/CD automations 
• Familiarity with tactics, techniques, and procedures used by threat actors
• Experience being part of detection and response or incident response on-call 
• Strong passion for continuous learning and staying updated on evolving technology 
• Strong oral and written communication skills
• Team player with a strong, self-managing work ethic

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

What You’ll Do 

The Sr. Cloud Engineer is primarily responsible for designing, implementing, and operating Strive Health’s cloud platforms and services with a focus on security, reliability, automation and user experience. The ideal candidate will have strong technical expertise in Azure and other cloud services, cloud networking (including always-on VPN and ZTNA), and automation/scripting to drive efficiency across the IT and Security department. 

You will evolve Strive’s cloud infrastructure, identity, and connectivity patterns; implement AI agents and automations that improve enterprise productivity; and partner closely with Security, IT, Engineering, and Product teams to ensure that our environments are secure, scalable, and aligned with business goals. This role will lead and contribute to cloud projects and initiatives by monitoring progress, addressing issues, and maintaining communication while ensuring best practices and security. 

This role will report to the VP Security and Enterprise Technology.

The Day to Day 

• Design, implement, and maintain secure, highly available cloud infrastructure in Azure (and related SaaS/PaaS platforms) to support Strive’s applications, data, and workforce. 
• Own and manage cloud networking including virtual networks, network security groups, application gateways, load balancers, private endpoints, and hybrid connectivity. 
• Architect, implement, and support always-on VPN, ZTNA, and enterprise VPN connections to provide secure, reliable access for a distributed workforce and third parties. 
• Maintain and enhance Azure Active Directory/Entra ID, conditional access, identity governance, and related policies, including DNS and directory integrations, to support a modern Zero Trust architecture. 
• Implement and support AI agents and automations (e.g., Glean, Claude, and other platforms) that streamline IT workflows, improve self-service, and drive measurable efficiency and quality improvements across the enterprise. 
• Develop and maintain automation, scripts, and tooling (e.g., PowerShell, Python, Cloud Formation, Azure/AWS CLI) to replace manual processes, improve consistency, and reduce operational toil for the IT department. 
• Collaborate with Security Engineering to ensure cloud environments are designed and operated according to security best practices, including secure configurations, monitoring, logging, and integration with security tooling (e.g., SIEM, EDR, CASB/SASE). 
• Partner with Infrastructure, End User Computing, and Application teams to ensure that cloud and networking solutions are integrated, resilient, and aligned to organizational goals and objectives. 
• Contribute to the architecture, implementation, and maintenance of CI/CD pipelines and infrastructure-as-code patterns to enable repeatable, secure deployments of infrastructure and configuration. 
• Monitor the performance, capacity, and cost of cloud environments; implement optimizations to improve stability, performance, and financial efficiency. 
• Create and maintain clear documentation for cloud architectures, standards, runbooks, and automations. 
• Participate in an on-call rotation and serve as an escalation point for complex cloud and infrastructure incidents. 
• Lead and/or contribute to IT and security projects related to cloud infrastructure, networking, and automation, ensuring timely and efficient delivery. 
• Provide guidance and informal mentorship to other engineers and administrators, helping to elevate cloud and automation capabilities across the team. 
• Report on time spent across projects, tickets, and meetings to inform planning and continuous improvement within IT. 

Minimum Qualifications 

• 6+ years in any combination of higher education/experience/certifications in IT infrastructure, systems administration, cloud engineering, or related roles of increasing complexity and scope. 
• 3+ years hands-on experience designing, implementing, and operating cloud infrastructure (AWS strongly preferred) including virtual networks, compute, storage, identity, and security controls. 
• Demonstrated experience with cloud networking (e.g., VNETs, VPN gateways, Global Secure Access, or equivalent, site-to-site and client VPN, ZTNA/Zero Trust, SASE). 
• Demonstrable experience with scripting and automation tools (e.g., PowerShell, Python, CloudFormation, AWS/Azure CLI) to manage and automate cloud and infrastructure services. 
• Experience implementing and supporting remote access technologies such as always-on VPN and enterprise VPN clients across a distributed workforce. 
• Strong understanding of identity and access management concepts and experience with Azure AD/Entra ID, conditional access, and modern authentication (SAML/OIDC/OAuth). 
• Internet Connectivity - Minimum speeds: 3.8 Mbps / 3.0 Mbps (up/down); latency < 60 ms. 
• Ability to travel and be onsite to meet business needs. 

Preferred Qualifications 

• Experience with Zero Trust architectures and implementing ZTNA, SASE, or similar technologies in an enterprise environment. 
• Experience writing and maintaining CI/CD pipelines and infrastructure-as-code for cloud resources (e.g., GitHub Actions, Azure DevOps, or similar). 
• Familiarity with emerging technologies such as AI and their implications for security, compliance, and enterprise productivity; experience implementing AI-driven agents or automations strongly preferred. 
• Experience integrating cloud platforms with security tooling (e.g., SIEM, security analytics, vulnerability management) and participating in incident response for cloud-related events. 
• Architectural experience designing and implementing secure, scalable cloud systems and networks. 
• Experience in regulated healthcare or similar environments and familiarity with security frameworks/standards (e.g., HITRUST, SOC 2, HIPAA). 
• Industry certifications such as Microsoft Azure Certifications, AWS Certifications, CISSP, CISM, or GIAC certifications are a plus. 

About You 

• Excellent problem-solving and analytical skills, with the ability to assess complex cloud and networking issues and provide effective, pragmatic solutions. 
• Strong written and verbal communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders. 
• Proven ability to collaborate effectively with cross-functional partners, including senior staff and executives, and to balance operational needs with strategic objectives. 
• High-level attention to detail, strong organizational and administrative skills, and the ability to manage multiple priorities in a fast-paced environment. 
• Demonstrated leadership and mentorship capabilities, with the ability to influence and elevate others even without direct reporting relationships. 
• Adaptable to rapidly expanding and changing operations; comfortable working independently with little or no direct supervision. 

Annual Salary Range: $108,500 - $136,000. This position is also eligible for a target annual bonus of 10% 

About the Opportunity

We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

• Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms.
• Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability.
• Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability.
• Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack.
• Uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
• Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
• Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards 

Requirements 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Demonstrable capability in designing, implementing, and securing RESTful web services
• Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
• Experience with AWS, GitHub, and continuous integration pipelines
• Proven track record of delivering scalable systems in production environments.
• Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability.
• Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks).
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Preferred:

• Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
• Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.  We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

Job duties, activities, and responsibilities are subject to change by our company.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $129,000 - $152,000
• TTC: $142,000 - $168,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

YOUR MISSION

We are seeking an experienced Principal Compliance Engineer to lead the design and implementation of secure, compliant architectures within highly regulated cloud environments. This role requires deep expertise in STIG development, encryption standards, and vulnerability remediation, alongside a strong foundation in DevOps and SecOps practices, particularly within the AWS and Azure Government platform. 

The ideal candidate brings at least 10 years of experience in security engineering or technical compliance and will work cross-functionally to align cloud infrastructure and operations with frameworks such as RMF (DoD IL5 and IL6), and CMMC. This is a hands-on technical role focused on enabling and sustaining system authorization through security automation, technical control implementation, and audit readiness. 

RESPONSIBILITIES

Security & Compliance Engineering 

• Architect, implement, and maintain secure, audit-ready systems and services in AWS and Azure Government environments. 
• Develop and maintain custom STIGs (Security Technical Implementation Guides) for cloud infrastructure, SaaS applications, and IaaS/PaaS configurations and customer-deployed applications. 
• Design and enforce secure configurations using encryption standards such as FIPS 140-2/FIPS 140-3, TLS 1.2+, and data-at-rest protections for regulated data. 

DevOps & SecOps Integration 

• Embed compliance and security checks into CI/CD pipelines, ensuring that infrastructure-as-code meets regulatory and organizational policies. 
• Integrate technical controls to support monitoring, logging, and alerting consistent with RMF and CMMC requirements. 
• Partner with cybersecurity operations teams to support incident response, log review, and system hardening efforts. 

Vulnerability Management & Remediation 

• Lead the technical remediation of vulnerabilities identified through internal scans, third-party testing, or external audits. 
• Work with engineering and DevOps teams to drive secure patch management, system baseline enforcement, and automated vulnerability response workflows. 
• Maintain and operationalize vulnerability metrics dashboards aligned with continuous monitoring plans (ConMon). 

Audit Readiness & Documentation 

• Able to support and manage detailed system documentation including SSPs, network diagrams, control implementations, and POA&Ms. 
• Serve as a technical point of contact during audits and assessments, capable of demonstrating compliance posture through hands-on walkthroughs and evidence collection. 
• Collaborate with DevOps, Cybersecurity teams to translate security requirements into enforceable technical controls and testable artifacts. 

Cross-Functional Collaboration & Leadership 

• Partner with product, engineering, and compliance teams to implement secure system boundaries and customer segmentation strategies for multi-tenant environments. 
• Provide technical mentorship and occasional leadership to junior compliance engineers or project contributors. 
• Track emerging requirements and proactively update system configurations to meet evolving DoD IL5, IL6, and CMMC mandates. 

QUALIFICATIONS

• 10+ years of experience in cybersecurity engineering, cloud compliance, or DevSecOps roles. 
• Proven experience designing STIG-compliant configurations, including custom STIG development and validation. 
• Deep understanding of FIPS-validated encryption, TLS configurations, and cryptographic module implementation for data protection. 
• Hands-on experience with vulnerability scanning, remediation planning, and automated patching workflows. 
• Familiarity with DoD RMF (IL5 and IL6), CMMC and related audit frameworks. 
• Proficiency with tools such as Terraform, Ansible, Azure Policy, GitHub Actions, and common SIEM/logging platforms. 
• Experience with authorization boundary design and customer isolation techniques in AWS and Azure Gov environments. 
• Position requires an active security clearance. While all clearance levels will be considered, TS/SCI clearance holders are preferred.

PREFERRED SKILLS AND EXPERIENCE

• Experience with DoD RMF (IL5 and IL6) cloud environments. 
• Working knowledge of container security, particularly in AKS or Kubernetes-based deployments. 
• Basic people leadership experience, including mentoring or technical guidance responsibilities. 
• Industry certifications such as CISSP, CCSP, Azure Security Engineer, or relevant compliance certs (e.g., CMMC RP). 

COMPENSATION

• Colorado Base Salary: $195,000-$270,000
• California Base Salary: $205,000-$285,000
• Washington D.C. Base Salary: $205,000-$285,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—Successful candidates will be located near one of our office locations including Centennial, CO; Long Beach, CA; Colorado Springs, CO, or Washington D.C. 
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below.
#LI-Onsite

We’re looking for a Staff Cyber Resilience Engineer to lead our defense against the attacks that matter most: ransomware, destructive wipes, and data loss at scale. This is a hands-on technical leadership role.  You will own the design and engineering of our Isolated Recovery Environment, set the standard for Infrastructure as Code across the organization, and ensure that if our AWS environment is ever compromised, we can restore operations with certainty and speed.

You will work with a high-caliber engineering team, have direct influence on our security architecture, and lead recovery exercises that test the organization end-to-end.

What You’ll Do

Own Our Recovery Architecture

•       Design and build our Isolated Recovery Environment — a hardened AWS account with immutable vaults that break the attacker’s kill chain before it reaches our data.
•       Threat model our environment with a deep understanding of cloud-native attack patterns: IAM privilege escalation, backup deletion, ransomware persistence, and lateral movement across accounts.
•       Validate and continuously improve backup configurations to ensure recoverability, not just existence.

Standardize and Automate Infrastructure

•       Lead our transition to 100% Infrastructure as Code. Every asset (VPCs, IAM roles, security groups) must be defined in Terraform so we can redeploy the entire stack into a clean account via automated pipeline.
•       Build automated recovery workflows that can tear down a compromised environment and bootstrap a fresh, hardened one from verified code and clean data.
•       Write and maintain executable recovery playbooks that detail the exact API calls and CLI commands needed to restore the application — tested, versioned, and runnable, not static documents.

Validate, Test, and Lead Exercises

•       Develop automated scripts (Python or Go) to smoke test recovered data and validate integrity post-restoration.
•       Lead regular hands-on recovery drills that simulate total loss of a critical environment and full recovery into a secondary clean account. Own the after-action process and drive improvements.

Drive Engineering Standards

•       Act as the resilience authority for the engineering organization — shaping high-availability architecture decisions, influencing design reviews, and raising the floor on how we think about recoverability.
•       Partner with the Site Reliability Engineering team on multi-region deployments and high-availability design, ensuring cyber resilience is embedded in architecture from the start.
•       Champion IaC and immutable infrastructure practices across teams, not just within your own workstream.

What You Bring

Required

•       8+ years of experience in complex cloud environments (any of AWS/GCP/Azure), including at least 3 years in AWS.  EKS/Kubernetes experience is a strong plus.
•       Strong Terraform skills. You should be able to modularize complex environments so they are environment-agnostic.
•       Hands-on familiarity with the Secure Vault pattern: protecting data in a separate, highly restricted AWS account with tight network controls.
•       Advanced shell scripting and proficiency in either Python or Go to automate restoration tasks that native AWS tooling doesn’t cover.
•       Experience with CI/CD tooling (Scalr, GitHub Actions, or equivalent) to enable broad adoption of recovery pipelines across the organization.
•       Proven ability to engineer and automate end-to-end restoration workflows.

Preferred

•       Hands-on experience leading technical recovery efforts from an actual cyber attack or destructive incident.
•       Experience with chaos engineering tooling to stress-test recovery assumptions.
•       Familiarity with NIST SP 800-34 (Contingency Planning) or similar frameworks.
•       AWS Security Specialty certification or equivalent demonstrated expertise.

The estimated base salary range for new hires into this role is $205,000- $233,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

About the Opportunity

We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

• Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms.
• Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability.
• Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability.
• Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack.
• Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
• Lead technical design reviews and system decomposition efforts across teams.
• Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements.
• Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
• Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards 
• Contribute to the necessary technical documentation required for regulatory submissions.

Requirements 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Demonstrable capability in designing, implementing, and securing RESTful web services
• Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
• Experience with AWS, GitHub, and continuous integration pipelines
• Proven track record of architecting and delivering scalable systems in production environments.
• Experience mentoring engineers and raising the technical bar through reviews and design feedback.
• Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability.
• Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks).
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Preferred:

• Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
• Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Staff Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their observability infrastructure. This role requires a seasoned consultant who can design comprehensive telemetry strategies, implement distributed tracing solutions, establish robust monitoring practices, and interface closely with clients on the observability journey.

Key Responsibilities:

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

Required Qualifications:

Core Observability & OpenTelemetry

• 3-7 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $160,000 - $200,000.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their observability infrastructure. This role requires a specialist who can design comprehensive telemetry strategies, implement distributed tracing solutions, establish robust monitoring practices, and interface closely with clients on the observability journey.

Key Responsibilities:

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

Required Qualifications:

Core Observability & OpenTelemetry

• 3-5 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• This role will require being in the Chicago office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Chicago base salary range for this role is $130,000 - $170,000.