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Key Considerations for Filing a Site Reliability Engineer (SRE) Job Requisition

Mehdi Daoudi
Catchpoint

Continuous delivery — a development approach aimed at building, testing and releasing software with greater speed and efficiency — is about much more than just being quick. It also emphasizes creating the highest-performing (fastest, most reliable) software products possible. DevOps teams are always trying to strike a critical balance — if there are too many shortcuts (i.e., overlooking performance testing anywhere in the software lifecycle), they'll likely compromise quality. However, testing that is too time-consuming or resource-intensive can hamper an organization's agility in incorporating user feedback and delivering innovation.

Many DevOps teams have addressed this by automating software testing throughout the entire product lifecycle. This enables developers and testers to work collaboratively and continuously as software progresses towards production. This reduces the chance for bugs to get deeply embedded, forcing re-work on subsequent code work which leads to costly, wasteful delays.

However, greater testing automation does not reduce the friction that exists when a performance problem rears its head. People by nature are defensive of their own work and respective areas of responsibility, which can lead to skirmishes within the team. The developer side of the house — relentlessly focused on roll-outs — may be quick to point to the Ops team, claiming Ops must be the reason the product is hitting a snag. It couldn't possibly be the code! The Ops team, focused on ensuring stability, is quick to point the finger back — “don't tell us how to do our job, our systems are working just fine; the problem has to be your code.” Meanwhile, the clock is ticking, the roll-out is getting stalled and users are growing impatient.

The high-pressure stakes of continuous delivery environments often require an intervention, a human touch — someone who can keep a cool head, address conflicts judiciously and validate performance assiduously every step of the way. This is fueling momentum behind the role of site reliability engineer, or SRE. Currently there are more than 1,000 U.S.-based SRE job reqs posted on LinkedIn.

The SRE is the ultimate adjudicator when a performance issue is identified

The SRE concept originated at Google in 2003. An SRE straddles the line between the “Dev” and “Ops” sides of DevOps teams, both writing code and supporting existing IT systems. The SRE is the ultimate adjudicator when a performance issue is identified, determining conclusively what factor (code or IT systems) is the root cause and seeing it through to resolution.

Many SREs establish firm rules governing DevOps teams — for example, unless a new solution or feature delivers on a pre-defined performance level — either earlier in the lifecycle, or once in production — all future development is on hold, until the problem is fixed. A highly resolute SRE makes it possible to achieve speedy application builds combined with operational stability and strong performance.

The deeper intricacies of the SRE role are still evolving, and to gain some insights into what the role actually entails we recently conducted a survey aimed at this growing group. The role may vary from organization to organization — for example, SREs at small organizations (where headcount tends to be lower) may do just fine with a broader, more general level of expertise across many technical areas. However, SREs in larger organizations often require and demonstrate more focused technical strengths, given the greater headcount and opportunities for specialization. The commonalities we identified include the following:

SREs are prevalent in continuous delivery environments

65 percent of the SREs we surveyed are deploying code at least once a day, and almost half (47 percent) report deploying new code multiple times per day.

Image removed.

Soft skills are crucial

Most SREs come from an IT Ops background, but they view soft skills as equally important as technical skills. Soft skills refer to a more intangible combination of variables including social and communication skills, character traits, emotional intelligence and other attributes, that enable workers to successfully navigate their work environment and achieve goals. SREs view the following soft skills as the most important, in this order — problem-solving, teamwork, composure under pressure, written and verbal communication.

Automation is critical

92 percent of our survey respondents cited automation as the top required technical skill, but ironically, many report their teams are not doing enough in this area. Only 18 percent said their teams have automated every aspect of their operation, indicating that additional machine-automated practices in areas like monitoring, testing or other disciplines are needed.

Availability is the most important service indicator

Application and service availability is the main concern of SREs

Application and service availability is the main concern of SREs, with 84 percent of respondents ranking end-user availability as one of their most important service-level indicators, ahead of error rate and latency trail. Nothing else matters if a system is unavailable, which makes alerting and notification tools an absolute must-have, according to those surveyed.

There's no substitute for real-time communication

Real-time communication is essential when attempting to resolve problems quickly. During incident resolution, 94 percent of respondents rely on real-time collaboration and communication solutions like Slack over other methods.

Image removed.

Continuous delivery collapses software release cycles dramatically, at a time when users' performance demands are exploding. But there's an upside to this in terms of the bottom-line pay-off for fast, reliable software. A one second improvement in webpage load time enabled Staples to increase conversions by 10 percent. Intuit improved webpage load time from 15 to 2 seconds, with every second of improvement driving a 2-3 percent increase in conversions.

Performance problems — and the conflicts they can invoke — are one of the biggest potential traffic jams in continuous delivery environments. When a problem occurs, the deep levels of collaboration that are a hallmark of DevOps teams become apparent — most of the time for the better, but not always. The SRE can be exactly what a DevOps team needs to drive the most positive, accurate and actionable collaborations possible. While this role is still being defined, we see many exciting opportunities for the right types of candidates, with soft skills being especially crucial.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

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Key Considerations for Filing a Site Reliability Engineer (SRE) Job Requisition

Mehdi Daoudi
Catchpoint

Continuous delivery — a development approach aimed at building, testing and releasing software with greater speed and efficiency — is about much more than just being quick. It also emphasizes creating the highest-performing (fastest, most reliable) software products possible. DevOps teams are always trying to strike a critical balance — if there are too many shortcuts (i.e., overlooking performance testing anywhere in the software lifecycle), they'll likely compromise quality. However, testing that is too time-consuming or resource-intensive can hamper an organization's agility in incorporating user feedback and delivering innovation.

Many DevOps teams have addressed this by automating software testing throughout the entire product lifecycle. This enables developers and testers to work collaboratively and continuously as software progresses towards production. This reduces the chance for bugs to get deeply embedded, forcing re-work on subsequent code work which leads to costly, wasteful delays.

However, greater testing automation does not reduce the friction that exists when a performance problem rears its head. People by nature are defensive of their own work and respective areas of responsibility, which can lead to skirmishes within the team. The developer side of the house — relentlessly focused on roll-outs — may be quick to point to the Ops team, claiming Ops must be the reason the product is hitting a snag. It couldn't possibly be the code! The Ops team, focused on ensuring stability, is quick to point the finger back — “don't tell us how to do our job, our systems are working just fine; the problem has to be your code.” Meanwhile, the clock is ticking, the roll-out is getting stalled and users are growing impatient.

The high-pressure stakes of continuous delivery environments often require an intervention, a human touch — someone who can keep a cool head, address conflicts judiciously and validate performance assiduously every step of the way. This is fueling momentum behind the role of site reliability engineer, or SRE. Currently there are more than 1,000 U.S.-based SRE job reqs posted on LinkedIn.

The SRE is the ultimate adjudicator when a performance issue is identified

The SRE concept originated at Google in 2003. An SRE straddles the line between the “Dev” and “Ops” sides of DevOps teams, both writing code and supporting existing IT systems. The SRE is the ultimate adjudicator when a performance issue is identified, determining conclusively what factor (code or IT systems) is the root cause and seeing it through to resolution.

Many SREs establish firm rules governing DevOps teams — for example, unless a new solution or feature delivers on a pre-defined performance level — either earlier in the lifecycle, or once in production — all future development is on hold, until the problem is fixed. A highly resolute SRE makes it possible to achieve speedy application builds combined with operational stability and strong performance.

The deeper intricacies of the SRE role are still evolving, and to gain some insights into what the role actually entails we recently conducted a survey aimed at this growing group. The role may vary from organization to organization — for example, SREs at small organizations (where headcount tends to be lower) may do just fine with a broader, more general level of expertise across many technical areas. However, SREs in larger organizations often require and demonstrate more focused technical strengths, given the greater headcount and opportunities for specialization. The commonalities we identified include the following:

SREs are prevalent in continuous delivery environments

65 percent of the SREs we surveyed are deploying code at least once a day, and almost half (47 percent) report deploying new code multiple times per day.

Image removed.

Soft skills are crucial

Most SREs come from an IT Ops background, but they view soft skills as equally important as technical skills. Soft skills refer to a more intangible combination of variables including social and communication skills, character traits, emotional intelligence and other attributes, that enable workers to successfully navigate their work environment and achieve goals. SREs view the following soft skills as the most important, in this order — problem-solving, teamwork, composure under pressure, written and verbal communication.

Automation is critical

92 percent of our survey respondents cited automation as the top required technical skill, but ironically, many report their teams are not doing enough in this area. Only 18 percent said their teams have automated every aspect of their operation, indicating that additional machine-automated practices in areas like monitoring, testing or other disciplines are needed.

Availability is the most important service indicator

Application and service availability is the main concern of SREs

Application and service availability is the main concern of SREs, with 84 percent of respondents ranking end-user availability as one of their most important service-level indicators, ahead of error rate and latency trail. Nothing else matters if a system is unavailable, which makes alerting and notification tools an absolute must-have, according to those surveyed.

There's no substitute for real-time communication

Real-time communication is essential when attempting to resolve problems quickly. During incident resolution, 94 percent of respondents rely on real-time collaboration and communication solutions like Slack over other methods.

Image removed.

Continuous delivery collapses software release cycles dramatically, at a time when users' performance demands are exploding. But there's an upside to this in terms of the bottom-line pay-off for fast, reliable software. A one second improvement in webpage load time enabled Staples to increase conversions by 10 percent. Intuit improved webpage load time from 15 to 2 seconds, with every second of improvement driving a 2-3 percent increase in conversions.

Performance problems — and the conflicts they can invoke — are one of the biggest potential traffic jams in continuous delivery environments. When a problem occurs, the deep levels of collaboration that are a hallmark of DevOps teams become apparent — most of the time for the better, but not always. The SRE can be exactly what a DevOps team needs to drive the most positive, accurate and actionable collaborations possible. While this role is still being defined, we see many exciting opportunities for the right types of candidates, with soft skills being especially crucial.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.